data_source stringclasses 1 value | prompt stringlengths 1.02k 14.4k | ability stringclasses 1 value | reward_model dict | extra_info dict |
|---|---|---|---|---|
dbpedia500 |
You are given a directed graph as two CSV-like sections in this order:
1) Node table (header included):
node_id, node_attr
2) Edge table (header included):
src, edge_attr, dst
Task
- Use ONLY edges from the Edge table to answer the question by outputting a path.
- When printing each edge, replace IDs with the exact node_attr from the Node table.
- Output MUST be text triples, not numeric IDs.
Output format (STRICT — no extra text):
PATH:
("subject"|predicate|"object")
...
END
Rules
- Use only listed edges; do NOT invent edges.
- Map IDs → node_attr; preserve node_attr exactly.
- Output NOTHING outside the PATH block.
- If no path exists, output exactly:
PATH:
END
Graph:
node_id, node_attr
315035, 1st_New_York_Volunteer_Engineer_Regiment
90734, Benjamin_Harvey_Hill
173520, Henry_A._Wise
315134, Siege_of_Petersburg
342867, Whig_Party_(United_States)
src, edge_attr, dst
315035, battle, 315134
90734, otherParty, 342867
173520, battle, 315134
173520, party, 342867
Question: How are 1st_New_York_Volunteer_Engineer_Regiment and Benjamin_Harvey_Hill related?
Your output must be ONLY the PATH block.
| graph_path | {
"style": "rule"
} | {
"entities": [
"1st_New_York_Volunteer_Engineer_Regiment",
"Benjamin_Harvey_Hill"
],
"valid_edges": [
[
"1st_New_York_Volunteer_Engineer_Regiment",
"battle",
"Siege_of_Petersburg"
],
[
"Benjamin_Harvey_Hill",
"otherParty",
"Whig_Party_(United_States)"
],
[
"Henry_A._Wise",
"battle",
"Siege_of_Petersburg"
],
[
"Henry_A._Wise",
"party",
"Whig_Party_(United_States)"
]
],
"ground_truth": [],
"gt_cost": null
} |
dbpedia500 |
You are given a directed graph as two CSV-like sections in this order:
1) Node table (header included):
node_id, node_attr
2) Edge table (header included):
src, edge_attr, dst
Task
- Use ONLY edges from the Edge table to answer the question by outputting a path.
- When printing each edge, replace IDs with the exact node_attr from the Node table.
- Output MUST be text triples, not numeric IDs.
Output format (STRICT — no extra text):
PATH:
("subject"|predicate|"object")
...
END
Rules
- Use only listed edges; do NOT invent edges.
- Map IDs → node_attr; preserve node_attr exactly.
- Output NOTHING outside the PATH block.
- If no path exists, output exactly:
PATH:
END
Graph:
node_id, node_attr
475979, Edward_Groesbeck_Voss
43802, John_W._Williams_(Virginia)
242490, Lepidoptera
62189, Rheumapterini
39545, United_States
src, edge_attr, dst
475979, birthPlace, 39545
475979, nationality, 39545
475979, occupation, 242490
475979, residence, 39545
475979, stateOfOrigin, 39545
43802, birthPlace, 39545
43802, deathPlace, 39545
43802, nationality, 39545
62189, order, 242490
Question: For what reason are John_W._Williams_(Virginia) and Rheumapterini associated?
Your output must be ONLY the PATH block.
| graph_path | {
"style": "rule"
} | {
"entities": [
"John_W._Williams_(Virginia)",
"Rheumapterini"
],
"valid_edges": [
[
"Edward_Groesbeck_Voss",
"birthPlace",
"United_States"
],
[
"Edward_Groesbeck_Voss",
"nationality",
"United_States"
],
[
"Edward_Groesbeck_Voss",
"occupation",
"Lepidoptera"
],
[
"Edward_Groesbeck_Voss",
"residence",
"United_States"
],
[
"Edward_Groesbeck_Voss",
"stateOfOrigin",
"United_States"
],
[
"John_W._Williams_(Virginia)",
"birthPlace",
"United_States"
],
[
"John_W._Williams_(Virginia)",
"deathPlace",
"United_States"
],
[
"John_W._Williams_(Virginia)",
"nationality",
"United_States"
],
[
"Rheumapterini",
"order",
"Lepidoptera"
]
],
"ground_truth": [],
"gt_cost": null
} |
dbpedia500 |
You are given a directed graph as two CSV-like sections in this order:
1) Node table (header included):
node_id, node_attr
2) Edge table (header included):
src, edge_attr, dst
Task
- Use ONLY edges from the Edge table to answer the question by outputting a path.
- When printing each edge, replace IDs with the exact node_attr from the Node table.
- Output MUST be text triples, not numeric IDs.
Output format (STRICT — no extra text):
PATH:
("subject"|predicate|"object")
...
END
Rules
- Use only listed edges; do NOT invent edges.
- Map IDs → node_attr; preserve node_attr exactly.
- Output NOTHING outside the PATH block.
- If no path exists, output exactly:
PATH:
END
Graph:
node_id, node_attr
475728, Cocoto_Kart_Racer
457854, Midas_Interactive_Entertainment
477205, PlayStation_2
282901, Ys:_The_Ark_of_Napishtim
src, edge_attr, dst
475728, computingPlatform, 477205
475728, publisher, 457854
282901, computingPlatform, 477205
Question: How are Midas_Interactive_Entertainment and Ys:_The_Ark_of_Napishtim related?
Your output must be ONLY the PATH block.
| graph_path | {
"style": "rule"
} | {
"entities": [
"Midas_Interactive_Entertainment",
"Ys:_The_Ark_of_Napishtim"
],
"valid_edges": [
[
"Cocoto_Kart_Racer",
"computingPlatform",
"PlayStation_2"
],
[
"Cocoto_Kart_Racer",
"publisher",
"Midas_Interactive_Entertainment"
],
[
"Ys:_The_Ark_of_Napishtim",
"computingPlatform",
"PlayStation_2"
]
],
"ground_truth": [],
"gt_cost": null
} |
dbpedia500 |
You are given a directed graph as two CSV-like sections in this order:
1) Node table (header included):
node_id, node_attr
2) Edge table (header included):
src, edge_attr, dst
Task
- Use ONLY edges from the Edge table to answer the question by outputting a path.
- When printing each edge, replace IDs with the exact node_attr from the Node table.
- Output MUST be text triples, not numeric IDs.
Output format (STRICT — no extra text):
PATH:
("subject"|predicate|"object")
...
END
Rules
- Use only listed edges; do NOT invent edges.
- Map IDs → node_attr; preserve node_attr exactly.
- Output NOTHING outside the PATH block.
- If no path exists, output exactly:
PATH:
END
Graph:
node_id, node_attr
392767, Amazon.com
478074, Amazon_Kindle
111965, Cumulus_Media
29023, Foxconn
88720, Marvell_Technology_Group
341397, Public_company
9003, WALG
src, edge_attr, dst
392767, product, 478074
392767, type, 341397
478074, cpu, 88720
478074, manufacturer, 29023
111965, type, 341397
29023, type, 341397
88720, type, 341397
9003, owner, 111965
Question: How are Amazon_Kindle and WALG related?
Your output must be ONLY the PATH block.
| graph_path | {
"style": "rule"
} | {
"entities": [
"Amazon_Kindle",
"WALG"
],
"valid_edges": [
[
"Amazon.com",
"product",
"Amazon_Kindle"
],
[
"Amazon.com",
"type",
"Public_company"
],
[
"Amazon_Kindle",
"cpu",
"Marvell_Technology_Group"
],
[
"Amazon_Kindle",
"manufacturer",
"Foxconn"
],
[
"Cumulus_Media",
"type",
"Public_company"
],
[
"Foxconn",
"type",
"Public_company"
],
[
"Marvell_Technology_Group",
"type",
"Public_company"
],
[
"WALG",
"owner",
"Cumulus_Media"
]
],
"ground_truth": [],
"gt_cost": null
} |
dbpedia500 |
You are given a directed graph as two CSV-like sections in this order:
1) Node table (header included):
node_id, node_attr
2) Edge table (header included):
src, edge_attr, dst
Task
- Use ONLY edges from the Edge table to answer the question by outputting a path.
- When printing each edge, replace IDs with the exact node_attr from the Node table.
- Output MUST be text triples, not numeric IDs.
Output format (STRICT — no extra text):
PATH:
("subject"|predicate|"object")
...
END
Rules
- Use only listed edges; do NOT invent edges.
- Map IDs → node_attr; preserve node_attr exactly.
- Output NOTHING outside the PATH block.
- If no path exists, output exactly:
PATH:
END
Graph:
node_id, node_attr
112847, Australians
32639, Castle_(novel)
140087, George_Kerferd
103860, Jason_Isaacs
473710, Lancashire
src, edge_attr, dst
32639, country, 112847
140087, birthPlace, 473710
140087, nationality, 112847
103860, birthPlace, 473710
Question: For what reason are Castle_(novel) and Jason_Isaacs associated?
Your output must be ONLY the PATH block.
| graph_path | {
"style": "rule"
} | {
"entities": [
"Castle_(novel)",
"Jason_Isaacs"
],
"valid_edges": [
[
"Castle_(novel)",
"country",
"Australians"
],
[
"George_Kerferd",
"birthPlace",
"Lancashire"
],
[
"George_Kerferd",
"nationality",
"Australians"
],
[
"Jason_Isaacs",
"birthPlace",
"Lancashire"
]
],
"ground_truth": [],
"gt_cost": null
} |
dbpedia500 |
You are given a directed graph as two CSV-like sections in this order:
1) Node table (header included):
node_id, node_attr
2) Edge table (header included):
src, edge_attr, dst
Task
- Use ONLY edges from the Edge table to answer the question by outputting a path.
- When printing each edge, replace IDs with the exact node_attr from the Node table.
- Output MUST be text triples, not numeric IDs.
Output format (STRICT — no extra text):
PATH:
("subject"|predicate|"object")
...
END
Rules
- Use only listed edges; do NOT invent edges.
- Map IDs → node_attr; preserve node_attr exactly.
- Output NOTHING outside the PATH block.
- If no path exists, output exactly:
PATH:
END
Graph:
node_id, node_attr
342303, Crusade_in_Jeans
181930, Dutch_language
75785, Hardcover
135447, Nostalgie_Vlaanderen
83878, Schilder-boeck
90754, Sharpe's_Siege_(novel)
236990, The_Fifty_Year_Sword
src, edge_attr, dst
342303, language, 181930
342303, mediaType, 75785
135447, language, 181930
83878, language, 181930
83878, mediaType, 75785
90754, mediaType, 75785
236990, language, 181930
236990, mediaType, 75785
Question: In what context are Nostalgie_Vlaanderen and Sharpe's_Siege_(novel) connected?
Your output must be ONLY the PATH block.
| graph_path | {
"style": "rule"
} | {
"entities": [
"Nostalgie_Vlaanderen",
"Sharpe's_Siege_(novel)"
],
"valid_edges": [
[
"Crusade_in_Jeans",
"language",
"Dutch_language"
],
[
"Crusade_in_Jeans",
"mediaType",
"Hardcover"
],
[
"Nostalgie_Vlaanderen",
"language",
"Dutch_language"
],
[
"Schilder-boeck",
"language",
"Dutch_language"
],
[
"Schilder-boeck",
"mediaType",
"Hardcover"
],
[
"Sharpe's_Siege_(novel)",
"mediaType",
"Hardcover"
],
[
"The_Fifty_Year_Sword",
"language",
"Dutch_language"
],
[
"The_Fifty_Year_Sword",
"mediaType",
"Hardcover"
]
],
"ground_truth": [],
"gt_cost": null
} |
dbpedia500 |
You are given a directed graph as two CSV-like sections in this order:
1) Node table (header included):
node_id, node_attr
2) Edge table (header included):
src, edge_attr, dst
Task
- Use ONLY edges from the Edge table to answer the question by outputting a path.
- When printing each edge, replace IDs with the exact node_attr from the Node table.
- Output MUST be text triples, not numeric IDs.
Output format (STRICT — no extra text):
PATH:
("subject"|predicate|"object")
...
END
Rules
- Use only listed edges; do NOT invent edges.
- Map IDs → node_attr; preserve node_attr exactly.
- Output NOTHING outside the PATH block.
- If no path exists, output exactly:
PATH:
END
Graph:
node_id, node_attr
248060, Dardenne_brothers
98957, Film_producer
64725, Judd_Apatow
30548, Liège
89133, Prince-Bishopric_of_Liège
src, edge_attr, dst
248060, birthPlace, 30548
248060, occupation, 98957
64725, occupation, 98957
89133, capital, 30548
Question: For what reason are Judd_Apatow and Prince-Bishopric_of_Liège associated?
Your output must be ONLY the PATH block.
| graph_path | {
"style": "rule"
} | {
"entities": [
"Judd_Apatow",
"Prince-Bishopric_of_Liège"
],
"valid_edges": [
[
"Dardenne_brothers",
"birthPlace",
"Liège"
],
[
"Dardenne_brothers",
"occupation",
"Film_producer"
],
[
"Judd_Apatow",
"occupation",
"Film_producer"
],
[
"Prince-Bishopric_of_Liège",
"capital",
"Liège"
]
],
"ground_truth": [],
"gt_cost": null
} |
dbpedia500 |
You are given a directed graph as two CSV-like sections in this order:
1) Node table (header included):
node_id, node_attr
2) Edge table (header included):
src, edge_attr, dst
Task
- Use ONLY edges from the Edge table to answer the question by outputting a path.
- When printing each edge, replace IDs with the exact node_attr from the Node table.
- Output MUST be text triples, not numeric IDs.
Output format (STRICT — no extra text):
PATH:
("subject"|predicate|"object")
...
END
Rules
- Use only listed edges; do NOT invent edges.
- Map IDs → node_attr; preserve node_attr exactly.
- Output NOTHING outside the PATH block.
- If no path exists, output exactly:
PATH:
END
Graph:
node_id, node_attr
202556, Emily_Osment
42240, James_Garner
362244, Los_Angeles
134526, Max_Collins_(musician)
245256, New_Line_Cinema
217934, Puddle_of_Mudd
199203, The_Notebook_(2004_film)
286969, The_Sugi_Tap
204252, Tony_Fagenson
src, edge_attr, dst
202556, birthPlace, 362244
42240, deathPlace, 362244
134526, associatedBand, 202556
134526, associatedBand, 217934
134526, associatedBand, 286969
134526, associatedMusicalArtist, 202556
134526, associatedMusicalArtist, 217934
134526, associatedMusicalArtist, 286969
245256, location, 362244
199203, distributor, 245256
199203, narrator, 42240
199203, starring, 42240
286969, bandMember, 134526
286969, bandMember, 204252
286969, hometown, 362244
204252, associatedBand, 202556
204252, associatedBand, 217934
204252, associatedBand, 286969
204252, associatedMusicalArtist, 202556
204252, associatedMusicalArtist, 217934
204252, associatedMusicalArtist, 286969
Question: In what context are Max_Collins_(musician) and The_Notebook_(2004_film) connected?
Your output must be ONLY the PATH block.
| graph_path | {
"style": "rule"
} | {
"entities": [
"Max_Collins_(musician)",
"The_Notebook_(2004_film)"
],
"valid_edges": [
[
"Emily_Osment",
"birthPlace",
"Los_Angeles"
],
[
"James_Garner",
"deathPlace",
"Los_Angeles"
],
[
"Max_Collins_(musician)",
"associatedBand",
"Emily_Osment"
],
[
"Max_Collins_(musician)",
"associatedBand",
"Puddle_of_Mudd"
],
[
"Max_Collins_(musician)",
"associatedBand",
"The_Sugi_Tap"
],
[
"Max_Collins_(musician)",
"associatedMusicalArtist",
"Emily_Osment"
],
[
"Max_Collins_(musician)",
"associatedMusicalArtist",
"Puddle_of_Mudd"
],
[
"Max_Collins_(musician)",
"associatedMusicalArtist",
"The_Sugi_Tap"
],
[
"New_Line_Cinema",
"location",
"Los_Angeles"
],
[
"The_Notebook_(2004_film)",
"distributor",
"New_Line_Cinema"
],
[
"The_Notebook_(2004_film)",
"narrator",
"James_Garner"
],
[
"The_Notebook_(2004_film)",
"starring",
"James_Garner"
],
[
"The_Sugi_Tap",
"bandMember",
"Max_Collins_(musician)"
],
[
"The_Sugi_Tap",
"bandMember",
"Tony_Fagenson"
],
[
"The_Sugi_Tap",
"hometown",
"Los_Angeles"
],
[
"Tony_Fagenson",
"associatedBand",
"Emily_Osment"
],
[
"Tony_Fagenson",
"associatedBand",
"Puddle_of_Mudd"
],
[
"Tony_Fagenson",
"associatedBand",
"The_Sugi_Tap"
],
[
"Tony_Fagenson",
"associatedMusicalArtist",
"Emily_Osment"
],
[
"Tony_Fagenson",
"associatedMusicalArtist",
"Puddle_of_Mudd"
],
[
"Tony_Fagenson",
"associatedMusicalArtist",
"The_Sugi_Tap"
]
],
"ground_truth": [],
"gt_cost": null
} |
dbpedia500 |
You are given a directed graph as two CSV-like sections in this order:
1) Node table (header included):
node_id, node_attr
2) Edge table (header included):
src, edge_attr, dst
Task
- Use ONLY edges from the Edge table to answer the question by outputting a path.
- When printing each edge, replace IDs with the exact node_attr from the Node table.
- Output MUST be text triples, not numeric IDs.
Output format (STRICT — no extra text):
PATH:
("subject"|predicate|"object")
...
END
Rules
- Use only listed edges; do NOT invent edges.
- Map IDs → node_attr; preserve node_attr exactly.
- Output NOTHING outside the PATH block.
- If no path exists, output exactly:
PATH:
END
Graph:
node_id, node_attr
169206, 11Eleven_Project
24590, ANCA_(company)
139119, Ariyavangsagatayana,_16th_Supreme_Patriarch_of_Thailand
227510, Asian_Couture_Federation
188670, Australia
420864, Ayam_Brand
432476, Bengali_Hindus
260224, Cantonese_people
184810, Carrian_Group
67062, Club_21
312075, Dai_people
397352, Eurosport_1
104435, Hakka_people
386728, Hmong_people
279314, HotelQuickly
446678, Insurance_Australia_Group
449635, Japanese_diaspora
287416, Japanese_people
2703, Japantown
272673, Karen_people
38981, Khmer_people
147673, Laotian_diaspora
342419, Linfox
475212, Marc_Saw_Nelson
380944, Mazda_MPV
217908, Mega_International_Commercial_Bank
190634, Meinhardt_Group
347627, New_Zealand_Natural
351892, Newtown,_New_South_Wales
257278, Padini
197519, Penta_Security
391913, Peugeot_505
223935, Prin_Suparat
10737, Running_Man_(TV_series)
161809, Secret_Recipe_(restaurant)
194455, Sikh
459159, Singtel
117398, Sydney
418367, Teochew_dialect
142656, Thai_people
166322, Thailand
176143, Thomas_Mitchell_(explorer)
375424, Tom_Daley_Goes_Global
258878, Toyota_Corolla_(E100)
320115, Toyota_Corolla_(E30)
380215, Toyota_Corolla_(E70)
383271, Toyota_Corolla_(E90)
232448, Turner_Classic_Movies_(Asia)
367747, Video_Ezy
121480, Virgin_Active
450779, Where_Is_My_Friend's_Home
224631, Yogurtland
src, edge_attr, dst
169206, country, 188670
169206, country, 166322
24590, location, 188670
24590, regionServed, 188670
24590, regionServed, 166322
139119, birthPlace, 166322
139119, deathPlace, 166322
139119, nationality, 142656
227510, regionServed, 188670
227510, regionServed, 166322
188670, largestCity, 117398
420864, regionServed, 188670
420864, regionServed, 166322
432476, populationPlace, 188670
432476, populationPlace, 166322
260224, populationPlace, 188670
260224, populationPlace, 166322
184810, regionServed, 188670
184810, regionServed, 166322
67062, regionServed, 188670
67062, regionServed, 166322
312075, populationPlace, 166322
397352, country, 188670
397352, country, 166322
397352, locationCountry, 188670
397352, locationCountry, 166322
104435, populationPlace, 188670
104435, populationPlace, 166322
386728, populationPlace, 188670
386728, populationPlace, 166322
279314, regionServed, 188670
279314, regionServed, 166322
446678, location, 188670
446678, regionServed, 188670
446678, regionServed, 166322
449635, populationPlace, 188670
449635, populationPlace, 166322
287416, populationPlace, 188670
287416, populationPlace, 166322
2703, populationPlace, 188670
2703, populationPlace, 166322
272673, populationPlace, 188670
272673, populationPlace, 166322
38981, populationPlace, 188670
38981, populationPlace, 166322
147673, populationPlace, 188670
147673, populationPlace, 166322
342419, locationCountry, 188670
342419, regionServed, 188670
342419, regionServed, 166322
475212, birthPlace, 188670
475212, nationality, 166322
475212, stateOfOrigin, 166322
380944, assembly, 166322
380944, successor, 188670
217908, regionServed, 188670
217908, regionServed, 166322
190634, regionServed, 188670
190634, regionServed, 166322
347627, location, 188670
347627, location, 166322
351892, country, 188670
257278, regionServed, 188670
257278, regionServed, 166322
197519, regionServed, 188670
197519, regionServed, 166322
391913, assembly, 188670
391913, assembly, 166322
223935, birthPlace, 166322
223935, nationality, 142656
223935, stateOfOrigin, 142656
10737, location, 188670
10737, location, 166322
161809, regionServed, 188670
161809, regionServed, 166322
194455, populationPlace, 188670
194455, populationPlace, 166322
459159, regionServed, 188670
459159, regionServed, 166322
117398, country, 188670
418367, spokenIn, 188670
418367, spokenIn, 166322
142656, related, 312075
166322, ethnicGroup, 142656
176143, deathPlace, 188670
176143, deathPlace, 117398
176143, restingPlace, 188670
176143, restingPlace, 351892
375424, location, 188670
375424, location, 166322
258878, assembly, 188670
258878, assembly, 166322
320115, assembly, 188670
320115, assembly, 166322
380215, assembly, 188670
380215, assembly, 166322
383271, assembly, 188670
383271, assembly, 166322
232448, broadcastArea, 188670
232448, broadcastArea, 166322
232448, country, 188670
232448, locationCountry, 188670
367747, location, 188670
367747, regionServed, 188670
367747, regionServed, 166322
121480, regionServed, 188670
121480, regionServed, 166322
450779, location, 188670
450779, location, 166322
224631, regionServed, 188670
224631, regionServed, 166322
Question: For what reason are Ariyavangsagatayana,_16th_Supreme_Patriarch_of_Thailand and Newtown,_New_South_Wales associated?
Your output must be ONLY the PATH block.
| graph_path | {
"style": "rule"
} | {
"entities": [
"Ariyavangsagatayana,_16th_Supreme_Patriarch_of_Thailand",
"Newtown,_New_South_Wales"
],
"valid_edges": [
[
"11Eleven_Project",
"country",
"Australia"
],
[
"11Eleven_Project",
"country",
"Thailand"
],
[
"ANCA_(company)",
"location",
"Australia"
],
[
"ANCA_(company)",
"regionServed",
"Australia"
],
[
"ANCA_(company)",
"regionServed",
"Thailand"
],
[
"Ariyavangsagatayana,_16th_Supreme_Patriarch_of_Thailand",
"birthPlace",
"Thailand"
],
[
"Ariyavangsagatayana,_16th_Supreme_Patriarch_of_Thailand",
"deathPlace",
"Thailand"
],
[
"Ariyavangsagatayana,_16th_Supreme_Patriarch_of_Thailand",
"nationality",
"Thai_people"
],
[
"Asian_Couture_Federation",
"regionServed",
"Australia"
],
[
"Asian_Couture_Federation",
"regionServed",
"Thailand"
],
[
"Australia",
"largestCity",
"Sydney"
],
[
"Ayam_Brand",
"regionServed",
"Australia"
],
[
"Ayam_Brand",
"regionServed",
"Thailand"
],
[
"Bengali_Hindus",
"populationPlace",
"Australia"
],
[
"Bengali_Hindus",
"populationPlace",
"Thailand"
],
[
"Cantonese_people",
"populationPlace",
"Australia"
],
[
"Cantonese_people",
"populationPlace",
"Thailand"
],
[
"Carrian_Group",
"regionServed",
"Australia"
],
[
"Carrian_Group",
"regionServed",
"Thailand"
],
[
"Club_21",
"regionServed",
"Australia"
],
[
"Club_21",
"regionServed",
"Thailand"
],
[
"Dai_people",
"populationPlace",
"Thailand"
],
[
"Eurosport_1",
"country",
"Australia"
],
[
"Eurosport_1",
"country",
"Thailand"
],
[
"Eurosport_1",
"locationCountry",
"Australia"
],
[
"Eurosport_1",
"locationCountry",
"Thailand"
],
[
"Hakka_people",
"populationPlace",
"Australia"
],
[
"Hakka_people",
"populationPlace",
"Thailand"
],
[
"Hmong_people",
"populationPlace",
"Australia"
],
[
"Hmong_people",
"populationPlace",
"Thailand"
],
[
"HotelQuickly",
"regionServed",
"Australia"
],
[
"HotelQuickly",
"regionServed",
"Thailand"
],
[
"Insurance_Australia_Group",
"location",
"Australia"
],
[
"Insurance_Australia_Group",
"regionServed",
"Australia"
],
[
"Insurance_Australia_Group",
"regionServed",
"Thailand"
],
[
"Japanese_diaspora",
"populationPlace",
"Australia"
],
[
"Japanese_diaspora",
"populationPlace",
"Thailand"
],
[
"Japanese_people",
"populationPlace",
"Australia"
],
[
"Japanese_people",
"populationPlace",
"Thailand"
],
[
"Japantown",
"populationPlace",
"Australia"
],
[
"Japantown",
"populationPlace",
"Thailand"
],
[
"Karen_people",
"populationPlace",
"Australia"
],
[
"Karen_people",
"populationPlace",
"Thailand"
],
[
"Khmer_people",
"populationPlace",
"Australia"
],
[
"Khmer_people",
"populationPlace",
"Thailand"
],
[
"Laotian_diaspora",
"populationPlace",
"Australia"
],
[
"Laotian_diaspora",
"populationPlace",
"Thailand"
],
[
"Linfox",
"locationCountry",
"Australia"
],
[
"Linfox",
"regionServed",
"Australia"
],
[
"Linfox",
"regionServed",
"Thailand"
],
[
"Marc_Saw_Nelson",
"birthPlace",
"Australia"
],
[
"Marc_Saw_Nelson",
"nationality",
"Thailand"
],
[
"Marc_Saw_Nelson",
"stateOfOrigin",
"Thailand"
],
[
"Mazda_MPV",
"assembly",
"Thailand"
],
[
"Mazda_MPV",
"successor",
"Australia"
],
[
"Mega_International_Commercial_Bank",
"regionServed",
"Australia"
],
[
"Mega_International_Commercial_Bank",
"regionServed",
"Thailand"
],
[
"Meinhardt_Group",
"regionServed",
"Australia"
],
[
"Meinhardt_Group",
"regionServed",
"Thailand"
],
[
"New_Zealand_Natural",
"location",
"Australia"
],
[
"New_Zealand_Natural",
"location",
"Thailand"
],
[
"Newtown,_New_South_Wales",
"country",
"Australia"
],
[
"Padini",
"regionServed",
"Australia"
],
[
"Padini",
"regionServed",
"Thailand"
],
[
"Penta_Security",
"regionServed",
"Australia"
],
[
"Penta_Security",
"regionServed",
"Thailand"
],
[
"Peugeot_505",
"assembly",
"Australia"
],
[
"Peugeot_505",
"assembly",
"Thailand"
],
[
"Prin_Suparat",
"birthPlace",
"Thailand"
],
[
"Prin_Suparat",
"nationality",
"Thai_people"
],
[
"Prin_Suparat",
"stateOfOrigin",
"Thai_people"
],
[
"Running_Man_(TV_series)",
"location",
"Australia"
],
[
"Running_Man_(TV_series)",
"location",
"Thailand"
],
[
"Secret_Recipe_(restaurant)",
"regionServed",
"Australia"
],
[
"Secret_Recipe_(restaurant)",
"regionServed",
"Thailand"
],
[
"Sikh",
"populationPlace",
"Australia"
],
[
"Sikh",
"populationPlace",
"Thailand"
],
[
"Singtel",
"regionServed",
"Australia"
],
[
"Singtel",
"regionServed",
"Thailand"
],
[
"Sydney",
"country",
"Australia"
],
[
"Teochew_dialect",
"spokenIn",
"Australia"
],
[
"Teochew_dialect",
"spokenIn",
"Thailand"
],
[
"Thai_people",
"related",
"Dai_people"
],
[
"Thailand",
"ethnicGroup",
"Thai_people"
],
[
"Thomas_Mitchell_(explorer)",
"deathPlace",
"Australia"
],
[
"Thomas_Mitchell_(explorer)",
"deathPlace",
"Sydney"
],
[
"Thomas_Mitchell_(explorer)",
"restingPlace",
"Australia"
],
[
"Thomas_Mitchell_(explorer)",
"restingPlace",
"Newtown,_New_South_Wales"
],
[
"Tom_Daley_Goes_Global",
"location",
"Australia"
],
[
"Tom_Daley_Goes_Global",
"location",
"Thailand"
],
[
"Toyota_Corolla_(E100)",
"assembly",
"Australia"
],
[
"Toyota_Corolla_(E100)",
"assembly",
"Thailand"
],
[
"Toyota_Corolla_(E30)",
"assembly",
"Australia"
],
[
"Toyota_Corolla_(E30)",
"assembly",
"Thailand"
],
[
"Toyota_Corolla_(E70)",
"assembly",
"Australia"
],
[
"Toyota_Corolla_(E70)",
"assembly",
"Thailand"
],
[
"Toyota_Corolla_(E90)",
"assembly",
"Australia"
],
[
"Toyota_Corolla_(E90)",
"assembly",
"Thailand"
],
[
"Turner_Classic_Movies_(Asia)",
"broadcastArea",
"Australia"
],
[
"Turner_Classic_Movies_(Asia)",
"broadcastArea",
"Thailand"
],
[
"Turner_Classic_Movies_(Asia)",
"country",
"Australia"
],
[
"Turner_Classic_Movies_(Asia)",
"locationCountry",
"Australia"
],
[
"Video_Ezy",
"location",
"Australia"
],
[
"Video_Ezy",
"regionServed",
"Australia"
],
[
"Video_Ezy",
"regionServed",
"Thailand"
],
[
"Virgin_Active",
"regionServed",
"Australia"
],
[
"Virgin_Active",
"regionServed",
"Thailand"
],
[
"Where_Is_My_Friend's_Home",
"location",
"Australia"
],
[
"Where_Is_My_Friend's_Home",
"location",
"Thailand"
],
[
"Yogurtland",
"regionServed",
"Australia"
],
[
"Yogurtland",
"regionServed",
"Thailand"
]
],
"ground_truth": [],
"gt_cost": null
} |
dbpedia500 |
You are given a directed graph as two CSV-like sections in this order:
1) Node table (header included):
node_id, node_attr
2) Edge table (header included):
src, edge_attr, dst
Task
- Use ONLY edges from the Edge table to answer the question by outputting a path.
- When printing each edge, replace IDs with the exact node_attr from the Node table.
- Output MUST be text triples, not numeric IDs.
Output format (STRICT — no extra text):
PATH:
("subject"|predicate|"object")
...
END
Rules
- Use only listed edges; do NOT invent edges.
- Map IDs → node_attr; preserve node_attr exactly.
- Output NOTHING outside the PATH block.
- If no path exists, output exactly:
PATH:
END
Graph:
node_id, node_attr
355244, English_language
190160, Flathead_Lake
1084, Montana
388731, United_Kingdom
292029, Uttoxeter
src, edge_attr, dst
190160, location, 1084
1084, language, 355244
388731, language, 355244
292029, country, 388731
Question: In what context are Flathead_Lake and Uttoxeter connected?
Your output must be ONLY the PATH block.
| graph_path | {
"style": "rule"
} | {
"entities": [
"Flathead_Lake",
"Uttoxeter"
],
"valid_edges": [
[
"Flathead_Lake",
"location",
"Montana"
],
[
"Montana",
"language",
"English_language"
],
[
"United_Kingdom",
"language",
"English_language"
],
[
"Uttoxeter",
"country",
"United_Kingdom"
]
],
"ground_truth": [],
"gt_cost": null
} |
dbpedia500 |
You are given a directed graph as two CSV-like sections in this order:
1) Node table (header included):
node_id, node_attr
2) Edge table (header included):
src, edge_attr, dst
Task
- Use ONLY edges from the Edge table to answer the question by outputting a path.
- When printing each edge, replace IDs with the exact node_attr from the Node table.
- Output MUST be text triples, not numeric IDs.
Output format (STRICT — no extra text):
PATH:
("subject"|predicate|"object")
...
END
Rules
- Use only listed edges; do NOT invent edges.
- Map IDs → node_attr; preserve node_attr exactly.
- Output NOTHING outside the PATH block.
- If no path exists, output exactly:
PATH:
END
Graph:
node_id, node_attr
238958, B.Slade
399429, Jessica_Lundy
166564, Lewis_Taylor
358463, Neo_soul
47842, San_Diego
src, edge_attr, dst
238958, genre, 358463
238958, hometown, 47842
399429, birthPlace, 47842
166564, genre, 358463
Question: In what context are Jessica_Lundy and Lewis_Taylor connected?
Your output must be ONLY the PATH block.
| graph_path | {
"style": "rule"
} | {
"entities": [
"Jessica_Lundy",
"Lewis_Taylor"
],
"valid_edges": [
[
"B.Slade",
"genre",
"Neo_soul"
],
[
"B.Slade",
"hometown",
"San_Diego"
],
[
"Jessica_Lundy",
"birthPlace",
"San_Diego"
],
[
"Lewis_Taylor",
"genre",
"Neo_soul"
]
],
"ground_truth": [],
"gt_cost": null
} |
dbpedia500 |
You are given a directed graph as two CSV-like sections in this order:
1) Node table (header included):
node_id, node_attr
2) Edge table (header included):
src, edge_attr, dst
Task
- Use ONLY edges from the Edge table to answer the question by outputting a path.
- When printing each edge, replace IDs with the exact node_attr from the Node table.
- Output MUST be text triples, not numeric IDs.
Output format (STRICT — no extra text):
PATH:
("subject"|predicate|"object")
...
END
Rules
- Use only listed edges; do NOT invent edges.
- Map IDs → node_attr; preserve node_attr exactly.
- Output NOTHING outside the PATH block.
- If no path exists, output exactly:
PATH:
END
Graph:
node_id, node_attr
188670, Australia
297497, Chennai
42290, Dutch_Burghers
458737, En_Thangai_Kalyani
222061, Indians_in_Fiji
268080, Kumara_Sambhavam
140863, List_of_Lingayats
101983, Srividya
42112, Tamil_language
179273, The_Square_(2008_film)
324915, Thigala
src, edge_attr, dst
297497, isPartOf, 42112
42290, language, 42112
42290, populationPlace, 188670
458737, language, 42112
458737, starring, 101983
222061, language, 42112
222061, populationPlace, 188670
268080, language, 42112
268080, starring, 101983
140863, language, 42112
140863, populationPlace, 188670
101983, birthPlace, 297497
179273, country, 188670
324915, language, 42112
324915, populationPlace, 188670
Question: How are En_Thangai_Kalyani and The_Square_(2008_film) related?
Your output must be ONLY the PATH block.
| graph_path | {
"style": "rule"
} | {
"entities": [
"En_Thangai_Kalyani",
"The_Square_(2008_film)"
],
"valid_edges": [
[
"Chennai",
"isPartOf",
"Tamil_language"
],
[
"Dutch_Burghers",
"language",
"Tamil_language"
],
[
"Dutch_Burghers",
"populationPlace",
"Australia"
],
[
"En_Thangai_Kalyani",
"language",
"Tamil_language"
],
[
"En_Thangai_Kalyani",
"starring",
"Srividya"
],
[
"Indians_in_Fiji",
"language",
"Tamil_language"
],
[
"Indians_in_Fiji",
"populationPlace",
"Australia"
],
[
"Kumara_Sambhavam",
"language",
"Tamil_language"
],
[
"Kumara_Sambhavam",
"starring",
"Srividya"
],
[
"List_of_Lingayats",
"language",
"Tamil_language"
],
[
"List_of_Lingayats",
"populationPlace",
"Australia"
],
[
"Srividya",
"birthPlace",
"Chennai"
],
[
"The_Square_(2008_film)",
"country",
"Australia"
],
[
"Thigala",
"language",
"Tamil_language"
],
[
"Thigala",
"populationPlace",
"Australia"
]
],
"ground_truth": [],
"gt_cost": null
} |
dbpedia500 |
You are given a directed graph as two CSV-like sections in this order:
1) Node table (header included):
node_id, node_attr
2) Edge table (header included):
src, edge_attr, dst
Task
- Use ONLY edges from the Edge table to answer the question by outputting a path.
- When printing each edge, replace IDs with the exact node_attr from the Node table.
- Output MUST be text triples, not numeric IDs.
Output format (STRICT — no extra text):
PATH:
("subject"|predicate|"object")
...
END
Rules
- Use only listed edges; do NOT invent edges.
- Map IDs → node_attr; preserve node_attr exactly.
- Output NOTHING outside the PATH block.
- If no path exists, output exactly:
PATH:
END
Graph:
node_id, node_attr
306848, 1._FC_Köln
116513, 2014–15_Bundesliga
304972, ACF_Fiorentina
353079, Abder_Ramdane
237981, Adrian_Spyrka
471866, Aldo_Borel
170309, Alexander_Bade
401473, Alexander_Walke
282625, Alfons_Higl
55058, Bel_Ami_(1955_film)
252437, Benny_Wendt
291454, Borussia_Dortmund
263300, Bundesliga
341125, Carl-Heinz_Rühl
181198, Carsten_Jancker
194244, Christian_Timm
117918, Christoph_Daum
246243, Christopher_Kullmann
127065, Christopher_Schorch
71302, Condor_Ferries
50623, Daniel_Schumann
339982, Dirk_Schuster
437697, East_Germany
47745, Enis_Alushi
230536, Evanílson
418598, Falko_Götz
481440, Felix_Bastians
480101, Ferdinand_Swatosch
488022, Flemming_Povlsen
404979, Florian_Kringe
431620, France
329269, Franz_Brungs
369410, Giovanni_Federico
456848, Guillaume_Warmuz
25488, Hamed_Namouchi
487301, Harald_Schumacher
373401, Heiko_Herrlich
326129, Henri_Fuchs
386453, Horst_Köppel
105702, Houssine_Kharja
274755, Ibrahim_Tanko
368883, Jackson_Mendy
25419, Jakub_Błaszczykowski
364300, Jan_Seifert
259334, Jonathan_Jäger
240727, Jörg_Heinrich
55652, Jörg_Schmadtke
418074, Jürgen_Kohler
251672, Karsten_Baumann
325253, Karsten_Hutwelker
71157, Karsten_Neitzel
358726, Kevin_Schlitte
10525, Leonardo_Bittencourt
174142, Lilian_Laslandes
316340, Lorenz-Günther_Köstner
132978, Marco_Weißhaupt
29000, Marcus_Steegmann
241213, Markus_Feulner
409097, Matthieu_Bochu
405147, Maurice_Banach
311330, Michael_Henke
406947, Michaël_Fabre
236094, Mike_Rietpietsch
195893, Miloš_Jojić
88041, Mohamed_Gouaida
142593, Nevio_Scala
250839, Nils_Petersen
195502, Pascal_Stenzel
395344, Paulo_Sousa
71114, René_Schneider_(footballer)
176775, René_Tretschok
331827, Roda_Antar
451299, Roland_Benschneider
311410, Rolf-Christel_Guié-Mien
405005, Roman_Bürki
272434, Ronny_Teuber
188727, Régis_Dorn
137516, SC_Freiburg
356138, Salvatore_Gambino
210518, Sascha_Riether
306034, Sebastian_Freis
292091, Sebastian_Helbig
46926, Sebastian_Kehl
429336, Sebastian_Mielitz
166292, Steffen_Freund
424101, Steffen_Karl
165140, Sunday_Oliseh
314898, Thomas_Doll
307108, Thomas_Häßler
438511, Thomas_Kroth
124868, Udo_Lattek
3577, Uwe_Rapolder
308193, Vladimir_But
245557, Volker_Finke
39061, Wilfried_Sanou
224298, Yohan_Benalouane
245533, Youssef_Mohamad
src, edge_attr, dst
306848, league, 263300
306848, season, 116513
304972, manager, 395344
353079, birthPlace, 431620
353079, team, 137516
237981, team, 306848
237981, team, 291454
471866, birthPlace, 431620
471866, team, 304972
170309, managerClub, 306848
170309, team, 306848
170309, team, 291454
401473, birthPlace, 437697
401473, team, 137516
282625, team, 306848
282625, team, 137516
55058, country, 437697
55058, country, 431620
252437, team, 306848
252437, team, 137516
291454, league, 263300
291454, season, 116513
341125, managerClub, 306848
341125, managerClub, 291454
341125, team, 306848
181198, birthPlace, 437697
181198, team, 306848
194244, team, 306848
194244, team, 291454
117918, birthPlace, 437697
117918, managerClub, 306848
117918, team, 306848
246243, birthPlace, 437697
246243, team, 291454
127065, birthPlace, 437697
127065, team, 306848
71302, regionServed, 431620
50623, birthPlace, 437697
50623, team, 137516
339982, birthPlace, 437697
339982, team, 306848
47745, team, 306848
47745, team, 291454
230536, team, 306848
230536, team, 291454
418598, birthPlace, 437697
418598, team, 306848
481440, team, 291454
481440, team, 137516
480101, managerClub, 291454
480101, team, 306848
488022, team, 306848
488022, team, 291454
404979, team, 306848
404979, team, 291454
329269, team, 306848
329269, team, 291454
369410, team, 306848
369410, team, 291454
456848, birthPlace, 431620
456848, team, 291454
25488, birthPlace, 431620
25488, team, 137516
487301, managerClub, 291454
487301, team, 306848
487301, team, 291454
373401, managerClub, 291454
373401, team, 291454
373401, team, 137516
326129, birthPlace, 437697
326129, team, 306848
386453, managerClub, 306848
386453, managerClub, 291454
105702, birthPlace, 431620
105702, team, 304972
274755, managerClub, 306848
274755, managerClub, 137516
274755, team, 291454
274755, team, 137516
368883, birthPlace, 431620
368883, team, 137516
25419, team, 304972
25419, team, 291454
364300, birthPlace, 437697
364300, team, 137516
259334, birthPlace, 431620
259334, team, 137516
240727, birthPlace, 437697
240727, team, 306848
240727, team, 304972
240727, team, 291454
240727, team, 137516
55652, managerClub, 306848
55652, team, 306848
55652, team, 137516
418074, team, 306848
418074, team, 291454
251672, team, 306848
251672, team, 291454
325253, team, 306848
325253, team, 304972
71157, birthPlace, 437697
71157, managerClub, 137516
71157, team, 137516
358726, birthPlace, 437697
358726, team, 137516
10525, team, 306848
10525, team, 291454
174142, birthPlace, 431620
174142, team, 306848
316340, managerClub, 306848
316340, managerClub, 137516
132978, birthPlace, 437697
132978, team, 137516
29000, team, 306848
29000, team, 291454
241213, team, 306848
241213, team, 291454
409097, birthPlace, 431620
409097, team, 304972
405147, team, 306848
405147, team, 291454
311330, managerClub, 306848
311330, managerClub, 291454
406947, birthPlace, 431620
406947, team, 304972
236094, birthPlace, 437697
236094, team, 137516
195893, team, 306848
195893, team, 291454
88041, birthPlace, 431620
88041, team, 137516
142593, managerClub, 291454
142593, team, 304972
250839, birthPlace, 437697
250839, team, 137516
195502, team, 291454
195502, team, 137516
395344, managerClub, 304972
395344, team, 304972
395344, team, 291454
71114, birthPlace, 437697
71114, team, 291454
176775, birthPlace, 437697
176775, team, 306848
176775, team, 291454
331827, team, 306848
331827, team, 137516
451299, birthPlace, 437697
451299, team, 306848
311410, team, 306848
311410, team, 137516
405005, team, 291454
405005, team, 137516
272434, birthPlace, 437697
272434, team, 306848
272434, team, 291454
188727, birthPlace, 431620
188727, team, 137516
137516, season, 116513
356138, team, 306848
356138, team, 291454
210518, team, 306848
210518, team, 137516
306034, team, 306848
306034, team, 137516
292091, birthPlace, 437697
292091, team, 306848
46926, team, 291454
46926, team, 137516
429336, birthPlace, 437697
429336, team, 137516
166292, birthPlace, 437697
166292, team, 291454
424101, birthPlace, 437697
424101, team, 291454
165140, team, 306848
165140, team, 291454
314898, birthPlace, 437697
314898, managerClub, 291454
307108, managerClub, 306848
307108, team, 306848
307108, team, 291454
438511, team, 306848
438511, team, 291454
124868, managerClub, 306848
124868, managerClub, 291454
3577, managerClub, 306848
3577, team, 137516
308193, team, 291454
308193, team, 137516
245557, managerClub, 306848
245557, managerClub, 137516
39061, team, 306848
39061, team, 137516
224298, birthPlace, 431620
224298, team, 304972
245533, team, 306848
245533, team, 137516
Question: For what reason are Condor_Ferries and Jörg_Heinrich associated?
Your output must be ONLY the PATH block.
| graph_path | {
"style": "rule"
} | {
"entities": [
"Condor_Ferries",
"Jörg_Heinrich"
],
"valid_edges": [
[
"1._FC_Köln",
"league",
"Bundesliga"
],
[
"1._FC_Köln",
"season",
"2014–15_Bundesliga"
],
[
"ACF_Fiorentina",
"manager",
"Paulo_Sousa"
],
[
"Abder_Ramdane",
"birthPlace",
"France"
],
[
"Abder_Ramdane",
"team",
"SC_Freiburg"
],
[
"Adrian_Spyrka",
"team",
"1._FC_Köln"
],
[
"Adrian_Spyrka",
"team",
"Borussia_Dortmund"
],
[
"Aldo_Borel",
"birthPlace",
"France"
],
[
"Aldo_Borel",
"team",
"ACF_Fiorentina"
],
[
"Alexander_Bade",
"managerClub",
"1._FC_Köln"
],
[
"Alexander_Bade",
"team",
"1._FC_Köln"
],
[
"Alexander_Bade",
"team",
"Borussia_Dortmund"
],
[
"Alexander_Walke",
"birthPlace",
"East_Germany"
],
[
"Alexander_Walke",
"team",
"SC_Freiburg"
],
[
"Alfons_Higl",
"team",
"1._FC_Köln"
],
[
"Alfons_Higl",
"team",
"SC_Freiburg"
],
[
"Bel_Ami_(1955_film)",
"country",
"East_Germany"
],
[
"Bel_Ami_(1955_film)",
"country",
"France"
],
[
"Benny_Wendt",
"team",
"1._FC_Köln"
],
[
"Benny_Wendt",
"team",
"SC_Freiburg"
],
[
"Borussia_Dortmund",
"league",
"Bundesliga"
],
[
"Borussia_Dortmund",
"season",
"2014–15_Bundesliga"
],
[
"Carl-Heinz_Rühl",
"managerClub",
"1._FC_Köln"
],
[
"Carl-Heinz_Rühl",
"managerClub",
"Borussia_Dortmund"
],
[
"Carl-Heinz_Rühl",
"team",
"1._FC_Köln"
],
[
"Carsten_Jancker",
"birthPlace",
"East_Germany"
],
[
"Carsten_Jancker",
"team",
"1._FC_Köln"
],
[
"Christian_Timm",
"team",
"1._FC_Köln"
],
[
"Christian_Timm",
"team",
"Borussia_Dortmund"
],
[
"Christoph_Daum",
"birthPlace",
"East_Germany"
],
[
"Christoph_Daum",
"managerClub",
"1._FC_Köln"
],
[
"Christoph_Daum",
"team",
"1._FC_Köln"
],
[
"Christopher_Kullmann",
"birthPlace",
"East_Germany"
],
[
"Christopher_Kullmann",
"team",
"Borussia_Dortmund"
],
[
"Christopher_Schorch",
"birthPlace",
"East_Germany"
],
[
"Christopher_Schorch",
"team",
"1._FC_Köln"
],
[
"Condor_Ferries",
"regionServed",
"France"
],
[
"Daniel_Schumann",
"birthPlace",
"East_Germany"
],
[
"Daniel_Schumann",
"team",
"SC_Freiburg"
],
[
"Dirk_Schuster",
"birthPlace",
"East_Germany"
],
[
"Dirk_Schuster",
"team",
"1._FC_Köln"
],
[
"Enis_Alushi",
"team",
"1._FC_Köln"
],
[
"Enis_Alushi",
"team",
"Borussia_Dortmund"
],
[
"Evanílson",
"team",
"1._FC_Köln"
],
[
"Evanílson",
"team",
"Borussia_Dortmund"
],
[
"Falko_Götz",
"birthPlace",
"East_Germany"
],
[
"Falko_Götz",
"team",
"1._FC_Köln"
],
[
"Felix_Bastians",
"team",
"Borussia_Dortmund"
],
[
"Felix_Bastians",
"team",
"SC_Freiburg"
],
[
"Ferdinand_Swatosch",
"managerClub",
"Borussia_Dortmund"
],
[
"Ferdinand_Swatosch",
"team",
"1._FC_Köln"
],
[
"Flemming_Povlsen",
"team",
"1._FC_Köln"
],
[
"Flemming_Povlsen",
"team",
"Borussia_Dortmund"
],
[
"Florian_Kringe",
"team",
"1._FC_Köln"
],
[
"Florian_Kringe",
"team",
"Borussia_Dortmund"
],
[
"Franz_Brungs",
"team",
"1._FC_Köln"
],
[
"Franz_Brungs",
"team",
"Borussia_Dortmund"
],
[
"Giovanni_Federico",
"team",
"1._FC_Köln"
],
[
"Giovanni_Federico",
"team",
"Borussia_Dortmund"
],
[
"Guillaume_Warmuz",
"birthPlace",
"France"
],
[
"Guillaume_Warmuz",
"team",
"Borussia_Dortmund"
],
[
"Hamed_Namouchi",
"birthPlace",
"France"
],
[
"Hamed_Namouchi",
"team",
"SC_Freiburg"
],
[
"Harald_Schumacher",
"managerClub",
"Borussia_Dortmund"
],
[
"Harald_Schumacher",
"team",
"1._FC_Köln"
],
[
"Harald_Schumacher",
"team",
"Borussia_Dortmund"
],
[
"Heiko_Herrlich",
"managerClub",
"Borussia_Dortmund"
],
[
"Heiko_Herrlich",
"team",
"Borussia_Dortmund"
],
[
"Heiko_Herrlich",
"team",
"SC_Freiburg"
],
[
"Henri_Fuchs",
"birthPlace",
"East_Germany"
],
[
"Henri_Fuchs",
"team",
"1._FC_Köln"
],
[
"Horst_Köppel",
"managerClub",
"1._FC_Köln"
],
[
"Horst_Köppel",
"managerClub",
"Borussia_Dortmund"
],
[
"Houssine_Kharja",
"birthPlace",
"France"
],
[
"Houssine_Kharja",
"team",
"ACF_Fiorentina"
],
[
"Ibrahim_Tanko",
"managerClub",
"1._FC_Köln"
],
[
"Ibrahim_Tanko",
"managerClub",
"SC_Freiburg"
],
[
"Ibrahim_Tanko",
"team",
"Borussia_Dortmund"
],
[
"Ibrahim_Tanko",
"team",
"SC_Freiburg"
],
[
"Jackson_Mendy",
"birthPlace",
"France"
],
[
"Jackson_Mendy",
"team",
"SC_Freiburg"
],
[
"Jakub_Błaszczykowski",
"team",
"ACF_Fiorentina"
],
[
"Jakub_Błaszczykowski",
"team",
"Borussia_Dortmund"
],
[
"Jan_Seifert",
"birthPlace",
"East_Germany"
],
[
"Jan_Seifert",
"team",
"SC_Freiburg"
],
[
"Jonathan_Jäger",
"birthPlace",
"France"
],
[
"Jonathan_Jäger",
"team",
"SC_Freiburg"
],
[
"Jörg_Heinrich",
"birthPlace",
"East_Germany"
],
[
"Jörg_Heinrich",
"team",
"1._FC_Köln"
],
[
"Jörg_Heinrich",
"team",
"ACF_Fiorentina"
],
[
"Jörg_Heinrich",
"team",
"Borussia_Dortmund"
],
[
"Jörg_Heinrich",
"team",
"SC_Freiburg"
],
[
"Jörg_Schmadtke",
"managerClub",
"1._FC_Köln"
],
[
"Jörg_Schmadtke",
"team",
"1._FC_Köln"
],
[
"Jörg_Schmadtke",
"team",
"SC_Freiburg"
],
[
"Jürgen_Kohler",
"team",
"1._FC_Köln"
],
[
"Jürgen_Kohler",
"team",
"Borussia_Dortmund"
],
[
"Karsten_Baumann",
"team",
"1._FC_Köln"
],
[
"Karsten_Baumann",
"team",
"Borussia_Dortmund"
],
[
"Karsten_Hutwelker",
"team",
"1._FC_Köln"
],
[
"Karsten_Hutwelker",
"team",
"ACF_Fiorentina"
],
[
"Karsten_Neitzel",
"birthPlace",
"East_Germany"
],
[
"Karsten_Neitzel",
"managerClub",
"SC_Freiburg"
],
[
"Karsten_Neitzel",
"team",
"SC_Freiburg"
],
[
"Kevin_Schlitte",
"birthPlace",
"East_Germany"
],
[
"Kevin_Schlitte",
"team",
"SC_Freiburg"
],
[
"Leonardo_Bittencourt",
"team",
"1._FC_Köln"
],
[
"Leonardo_Bittencourt",
"team",
"Borussia_Dortmund"
],
[
"Lilian_Laslandes",
"birthPlace",
"France"
],
[
"Lilian_Laslandes",
"team",
"1._FC_Köln"
],
[
"Lorenz-Günther_Köstner",
"managerClub",
"1._FC_Köln"
],
[
"Lorenz-Günther_Köstner",
"managerClub",
"SC_Freiburg"
],
[
"Marco_Weißhaupt",
"birthPlace",
"East_Germany"
],
[
"Marco_Weißhaupt",
"team",
"SC_Freiburg"
],
[
"Marcus_Steegmann",
"team",
"1._FC_Köln"
],
[
"Marcus_Steegmann",
"team",
"Borussia_Dortmund"
],
[
"Markus_Feulner",
"team",
"1._FC_Köln"
],
[
"Markus_Feulner",
"team",
"Borussia_Dortmund"
],
[
"Matthieu_Bochu",
"birthPlace",
"France"
],
[
"Matthieu_Bochu",
"team",
"ACF_Fiorentina"
],
[
"Maurice_Banach",
"team",
"1._FC_Köln"
],
[
"Maurice_Banach",
"team",
"Borussia_Dortmund"
],
[
"Michael_Henke",
"managerClub",
"1._FC_Köln"
],
[
"Michael_Henke",
"managerClub",
"Borussia_Dortmund"
],
[
"Michaël_Fabre",
"birthPlace",
"France"
],
[
"Michaël_Fabre",
"team",
"ACF_Fiorentina"
],
[
"Mike_Rietpietsch",
"birthPlace",
"East_Germany"
],
[
"Mike_Rietpietsch",
"team",
"SC_Freiburg"
],
[
"Miloš_Jojić",
"team",
"1._FC_Köln"
],
[
"Miloš_Jojić",
"team",
"Borussia_Dortmund"
],
[
"Mohamed_Gouaida",
"birthPlace",
"France"
],
[
"Mohamed_Gouaida",
"team",
"SC_Freiburg"
],
[
"Nevio_Scala",
"managerClub",
"Borussia_Dortmund"
],
[
"Nevio_Scala",
"team",
"ACF_Fiorentina"
],
[
"Nils_Petersen",
"birthPlace",
"East_Germany"
],
[
"Nils_Petersen",
"team",
"SC_Freiburg"
],
[
"Pascal_Stenzel",
"team",
"Borussia_Dortmund"
],
[
"Pascal_Stenzel",
"team",
"SC_Freiburg"
],
[
"Paulo_Sousa",
"managerClub",
"ACF_Fiorentina"
],
[
"Paulo_Sousa",
"team",
"ACF_Fiorentina"
],
[
"Paulo_Sousa",
"team",
"Borussia_Dortmund"
],
[
"René_Schneider_(footballer)",
"birthPlace",
"East_Germany"
],
[
"René_Schneider_(footballer)",
"team",
"Borussia_Dortmund"
],
[
"René_Tretschok",
"birthPlace",
"East_Germany"
],
[
"René_Tretschok",
"team",
"1._FC_Köln"
],
[
"René_Tretschok",
"team",
"Borussia_Dortmund"
],
[
"Roda_Antar",
"team",
"1._FC_Köln"
],
[
"Roda_Antar",
"team",
"SC_Freiburg"
],
[
"Roland_Benschneider",
"birthPlace",
"East_Germany"
],
[
"Roland_Benschneider",
"team",
"1._FC_Köln"
],
[
"Rolf-Christel_Guié-Mien",
"team",
"1._FC_Köln"
],
[
"Rolf-Christel_Guié-Mien",
"team",
"SC_Freiburg"
],
[
"Roman_Bürki",
"team",
"Borussia_Dortmund"
],
[
"Roman_Bürki",
"team",
"SC_Freiburg"
],
[
"Ronny_Teuber",
"birthPlace",
"East_Germany"
],
[
"Ronny_Teuber",
"team",
"1._FC_Köln"
],
[
"Ronny_Teuber",
"team",
"Borussia_Dortmund"
],
[
"Régis_Dorn",
"birthPlace",
"France"
],
[
"Régis_Dorn",
"team",
"SC_Freiburg"
],
[
"SC_Freiburg",
"season",
"2014–15_Bundesliga"
],
[
"Salvatore_Gambino",
"team",
"1._FC_Köln"
],
[
"Salvatore_Gambino",
"team",
"Borussia_Dortmund"
],
[
"Sascha_Riether",
"team",
"1._FC_Köln"
],
[
"Sascha_Riether",
"team",
"SC_Freiburg"
],
[
"Sebastian_Freis",
"team",
"1._FC_Köln"
],
[
"Sebastian_Freis",
"team",
"SC_Freiburg"
],
[
"Sebastian_Helbig",
"birthPlace",
"East_Germany"
],
[
"Sebastian_Helbig",
"team",
"1._FC_Köln"
],
[
"Sebastian_Kehl",
"team",
"Borussia_Dortmund"
],
[
"Sebastian_Kehl",
"team",
"SC_Freiburg"
],
[
"Sebastian_Mielitz",
"birthPlace",
"East_Germany"
],
[
"Sebastian_Mielitz",
"team",
"SC_Freiburg"
],
[
"Steffen_Freund",
"birthPlace",
"East_Germany"
],
[
"Steffen_Freund",
"team",
"Borussia_Dortmund"
],
[
"Steffen_Karl",
"birthPlace",
"East_Germany"
],
[
"Steffen_Karl",
"team",
"Borussia_Dortmund"
],
[
"Sunday_Oliseh",
"team",
"1._FC_Köln"
],
[
"Sunday_Oliseh",
"team",
"Borussia_Dortmund"
],
[
"Thomas_Doll",
"birthPlace",
"East_Germany"
],
[
"Thomas_Doll",
"managerClub",
"Borussia_Dortmund"
],
[
"Thomas_Häßler",
"managerClub",
"1._FC_Köln"
],
[
"Thomas_Häßler",
"team",
"1._FC_Köln"
],
[
"Thomas_Häßler",
"team",
"Borussia_Dortmund"
],
[
"Thomas_Kroth",
"team",
"1._FC_Köln"
],
[
"Thomas_Kroth",
"team",
"Borussia_Dortmund"
],
[
"Udo_Lattek",
"managerClub",
"1._FC_Köln"
],
[
"Udo_Lattek",
"managerClub",
"Borussia_Dortmund"
],
[
"Uwe_Rapolder",
"managerClub",
"1._FC_Köln"
],
[
"Uwe_Rapolder",
"team",
"SC_Freiburg"
],
[
"Vladimir_But",
"team",
"Borussia_Dortmund"
],
[
"Vladimir_But",
"team",
"SC_Freiburg"
],
[
"Volker_Finke",
"managerClub",
"1._FC_Köln"
],
[
"Volker_Finke",
"managerClub",
"SC_Freiburg"
],
[
"Wilfried_Sanou",
"team",
"1._FC_Köln"
],
[
"Wilfried_Sanou",
"team",
"SC_Freiburg"
],
[
"Yohan_Benalouane",
"birthPlace",
"France"
],
[
"Yohan_Benalouane",
"team",
"ACF_Fiorentina"
],
[
"Youssef_Mohamad",
"team",
"1._FC_Köln"
],
[
"Youssef_Mohamad",
"team",
"SC_Freiburg"
]
],
"ground_truth": [],
"gt_cost": null
} |
dbpedia500 |
You are given a directed graph as two CSV-like sections in this order:
1) Node table (header included):
node_id, node_attr
2) Edge table (header included):
src, edge_attr, dst
Task
- Use ONLY edges from the Edge table to answer the question by outputting a path.
- When printing each edge, replace IDs with the exact node_attr from the Node table.
- Output MUST be text triples, not numeric IDs.
Output format (STRICT — no extra text):
PATH:
("subject"|predicate|"object")
...
END
Rules
- Use only listed edges; do NOT invent edges.
- Map IDs → node_attr; preserve node_attr exactly.
- Output NOTHING outside the PATH block.
- If no path exists, output exactly:
PATH:
END
Graph:
node_id, node_attr
426144, Acoustic_music
394052, Brother,_Bring_the_Sun
339586, Michael_Kiske
320334, Mika_Horiuchi
161499, Speed_metal
101462, Tremonti_(band)
src, edge_attr, dst
394052, genre, 426144
339586, genre, 426144
339586, genre, 161499
320334, genre, 426144
320334, genre, 161499
101462, genre, 161499
Question: How are Brother,_Bring_the_Sun and Tremonti_(band) related?
Your output must be ONLY the PATH block.
| graph_path | {
"style": "rule"
} | {
"entities": [
"Brother,_Bring_the_Sun",
"Tremonti_(band)"
],
"valid_edges": [
[
"Brother,_Bring_the_Sun",
"genre",
"Acoustic_music"
],
[
"Michael_Kiske",
"genre",
"Acoustic_music"
],
[
"Michael_Kiske",
"genre",
"Speed_metal"
],
[
"Mika_Horiuchi",
"genre",
"Acoustic_music"
],
[
"Mika_Horiuchi",
"genre",
"Speed_metal"
],
[
"Tremonti_(band)",
"genre",
"Speed_metal"
]
],
"ground_truth": [],
"gt_cost": null
} |
dbpedia500 |
You are given a directed graph as two CSV-like sections in this order:
1) Node table (header included):
node_id, node_attr
2) Edge table (header included):
src, edge_attr, dst
Task
- Use ONLY edges from the Edge table to answer the question by outputting a path.
- When printing each edge, replace IDs with the exact node_attr from the Node table.
- Output MUST be text triples, not numeric IDs.
Output format (STRICT — no extra text):
PATH:
("subject"|predicate|"object")
...
END
Rules
- Use only listed edges; do NOT invent edges.
- Map IDs → node_attr; preserve node_attr exactly.
- Output NOTHING outside the PATH block.
- If no path exists, output exactly:
PATH:
END
Graph:
node_id, node_attr
7736, AEK_Athens_F.C.
101480, Andreas_Chronis
321164, New_York
113981, Penfield,_New_York
378259, Walter_Centeno
src, edge_attr, dst
101480, birthPlace, 321164
101480, team, 7736
113981, state, 321164
378259, team, 7736
Question: In what context are Penfield,_New_York and Walter_Centeno connected?
Your output must be ONLY the PATH block.
| graph_path | {
"style": "rule"
} | {
"entities": [
"Penfield,_New_York",
"Walter_Centeno"
],
"valid_edges": [
[
"Andreas_Chronis",
"birthPlace",
"New_York"
],
[
"Andreas_Chronis",
"team",
"AEK_Athens_F.C."
],
[
"Penfield,_New_York",
"state",
"New_York"
],
[
"Walter_Centeno",
"team",
"AEK_Athens_F.C."
]
],
"ground_truth": [],
"gt_cost": null
} |
dbpedia500 |
You are given a directed graph as two CSV-like sections in this order:
1) Node table (header included):
node_id, node_attr
2) Edge table (header included):
src, edge_attr, dst
Task
- Use ONLY edges from the Edge table to answer the question by outputting a path.
- When printing each edge, replace IDs with the exact node_attr from the Node table.
- Output MUST be text triples, not numeric IDs.
Output format (STRICT — no extra text):
PATH:
("subject"|predicate|"object")
...
END
Rules
- Use only listed edges; do NOT invent edges.
- Map IDs → node_attr; preserve node_attr exactly.
- Output NOTHING outside the PATH block.
- If no path exists, output exactly:
PATH:
END
Graph:
node_id, node_attr
89111, Alice,_Sweet_Alice
37547, Burke's_Law
355244, English_language
298317, KPCC
465191, Pasadena,_California
63386, Zack_Snyder
src, edge_attr, dst
89111, language, 355244
37547, language, 355244
37547, location, 465191
298317, city, 465191
298317, language, 355244
63386, residence, 465191
Question: How are Alice,_Sweet_Alice and Zack_Snyder related?
Your output must be ONLY the PATH block.
| graph_path | {
"style": "rule"
} | {
"entities": [
"Alice,_Sweet_Alice",
"Zack_Snyder"
],
"valid_edges": [
[
"Alice,_Sweet_Alice",
"language",
"English_language"
],
[
"Burke's_Law",
"language",
"English_language"
],
[
"Burke's_Law",
"location",
"Pasadena,_California"
],
[
"KPCC",
"city",
"Pasadena,_California"
],
[
"KPCC",
"language",
"English_language"
],
[
"Zack_Snyder",
"residence",
"Pasadena,_California"
]
],
"ground_truth": [],
"gt_cost": null
} |
dbpedia500 |
You are given a directed graph as two CSV-like sections in this order:
1) Node table (header included):
node_id, node_attr
2) Edge table (header included):
src, edge_attr, dst
Task
- Use ONLY edges from the Edge table to answer the question by outputting a path.
- When printing each edge, replace IDs with the exact node_attr from the Node table.
- Output MUST be text triples, not numeric IDs.
Output format (STRICT — no extra text):
PATH:
("subject"|predicate|"object")
...
END
Rules
- Use only listed edges; do NOT invent edges.
- Map IDs → node_attr; preserve node_attr exactly.
- Output NOTHING outside the PATH block.
- If no path exists, output exactly:
PATH:
END
Graph:
node_id, node_attr
417286, Cocoa_Puffs
39822, Cocoa_solids
303463, Donauwelle
39672, Edward_Leo_Krumpelmann
180442, General_Mills
233600, Minneapolis
7533, Minnesota
411963, Saint_Thomas_Academy
428382, Sugar
src, edge_attr, dst
417286, creatorOfDish, 180442
417286, ingredient, 39822
417286, ingredient, 428382
303463, ingredient, 39822
303463, ingredient, 428382
39672, almaMater, 411963
39672, birthPlace, 7533
39672, deathPlace, 233600
39672, deathPlace, 7533
180442, foundationPlace, 7533
233600, isPartOf, 7533
7533, largestCity, 233600
411963, state, 7533
Question: In what context are Cocoa_solids and Saint_Thomas_Academy connected?
Your output must be ONLY the PATH block.
| graph_path | {
"style": "rule"
} | {
"entities": [
"Cocoa_solids",
"Saint_Thomas_Academy"
],
"valid_edges": [
[
"Cocoa_Puffs",
"creatorOfDish",
"General_Mills"
],
[
"Cocoa_Puffs",
"ingredient",
"Cocoa_solids"
],
[
"Cocoa_Puffs",
"ingredient",
"Sugar"
],
[
"Donauwelle",
"ingredient",
"Cocoa_solids"
],
[
"Donauwelle",
"ingredient",
"Sugar"
],
[
"Edward_Leo_Krumpelmann",
"almaMater",
"Saint_Thomas_Academy"
],
[
"Edward_Leo_Krumpelmann",
"birthPlace",
"Minnesota"
],
[
"Edward_Leo_Krumpelmann",
"deathPlace",
"Minneapolis"
],
[
"Edward_Leo_Krumpelmann",
"deathPlace",
"Minnesota"
],
[
"General_Mills",
"foundationPlace",
"Minnesota"
],
[
"Minneapolis",
"isPartOf",
"Minnesota"
],
[
"Minnesota",
"largestCity",
"Minneapolis"
],
[
"Saint_Thomas_Academy",
"state",
"Minnesota"
]
],
"ground_truth": [],
"gt_cost": null
} |
dbpedia500 |
You are given a directed graph as two CSV-like sections in this order:
1) Node table (header included):
node_id, node_attr
2) Edge table (header included):
src, edge_attr, dst
Task
- Use ONLY edges from the Edge table to answer the question by outputting a path.
- When printing each edge, replace IDs with the exact node_attr from the Node table.
- Output MUST be text triples, not numeric IDs.
Output format (STRICT — no extra text):
PATH:
("subject"|predicate|"object")
...
END
Rules
- Use only listed edges; do NOT invent edges.
- Map IDs → node_attr; preserve node_attr exactly.
- Output NOTHING outside the PATH block.
- If no path exists, output exactly:
PATH:
END
Graph:
node_id, node_attr
429245, B._J._Novak
162828, Back_from_Vacation
317962, Basketball_(The_Office)
478399, Big_Bill_Broonzy
33034, Boys_and_Girls_(The_Office)
119034, Branch_Closing
389666, Celtic_music
126656, Celtic_punk
322653, Chicago
473962, Craig_Robinson_(actor)
357280, David_Arkenstone
8078, Fiddle
370940, Finale_(The_Office)
458585, Free_Family_Portrait_Studio
84609, Greg_Daniels
10743, Jon_Boden
306878, Liz_Carroll
264166, Melora_Hardin
148751, Michael_Schur
1323, Patrice_O'Neal
364266, Scarlet_Rivera
349688, The_Office_(U.S._TV_series)
123203, Valentine's_Day_(The_Office)
src, edge_attr, dst
162828, guest, 473962
162828, series, 349688
317962, guest, 473962
317962, guest, 1323
317962, series, 349688
478399, deathPlace, 322653
478399, instrument, 8078
33034, guest, 473962
33034, guest, 264166
33034, guest, 1323
33034, series, 349688
33034, subsequentWork, 123203
33034, writer, 429245
119034, guest, 473962
119034, series, 349688
126656, instrument, 8078
126656, stylisticOrigin, 389666
473962, birthPlace, 322653
357280, birthPlace, 322653
357280, genre, 389666
370940, guest, 429245
370940, series, 349688
458585, director, 429245
458585, series, 349688
458585, writer, 429245
84609, notableWork, 349688
10743, birthPlace, 322653
10743, instrument, 8078
306878, genre, 389666
306878, hometown, 322653
306878, instrument, 8078
148751, notableWork, 349688
364266, birthPlace, 322653
364266, genre, 389666
349688, developer, 84609
349688, executiveProducer, 429245
349688, executiveProducer, 84609
349688, starring, 429245
349688, starring, 473962
349688, starring, 264166
123203, director, 84609
123203, previousWork, 33034
123203, series, 349688
123203, writer, 148751
Question: For what reason are Boys_and_Girls_(The_Office) and Liz_Carroll associated?
Your output must be ONLY the PATH block.
| graph_path | {
"style": "rule"
} | {
"entities": [
"Boys_and_Girls_(The_Office)",
"Liz_Carroll"
],
"valid_edges": [
[
"Back_from_Vacation",
"guest",
"Craig_Robinson_(actor)"
],
[
"Back_from_Vacation",
"series",
"The_Office_(U.S._TV_series)"
],
[
"Basketball_(The_Office)",
"guest",
"Craig_Robinson_(actor)"
],
[
"Basketball_(The_Office)",
"guest",
"Patrice_O'Neal"
],
[
"Basketball_(The_Office)",
"series",
"The_Office_(U.S._TV_series)"
],
[
"Big_Bill_Broonzy",
"deathPlace",
"Chicago"
],
[
"Big_Bill_Broonzy",
"instrument",
"Fiddle"
],
[
"Boys_and_Girls_(The_Office)",
"guest",
"Craig_Robinson_(actor)"
],
[
"Boys_and_Girls_(The_Office)",
"guest",
"Melora_Hardin"
],
[
"Boys_and_Girls_(The_Office)",
"guest",
"Patrice_O'Neal"
],
[
"Boys_and_Girls_(The_Office)",
"series",
"The_Office_(U.S._TV_series)"
],
[
"Boys_and_Girls_(The_Office)",
"subsequentWork",
"Valentine's_Day_(The_Office)"
],
[
"Boys_and_Girls_(The_Office)",
"writer",
"B._J._Novak"
],
[
"Branch_Closing",
"guest",
"Craig_Robinson_(actor)"
],
[
"Branch_Closing",
"series",
"The_Office_(U.S._TV_series)"
],
[
"Celtic_punk",
"instrument",
"Fiddle"
],
[
"Celtic_punk",
"stylisticOrigin",
"Celtic_music"
],
[
"Craig_Robinson_(actor)",
"birthPlace",
"Chicago"
],
[
"David_Arkenstone",
"birthPlace",
"Chicago"
],
[
"David_Arkenstone",
"genre",
"Celtic_music"
],
[
"Finale_(The_Office)",
"guest",
"B._J._Novak"
],
[
"Finale_(The_Office)",
"series",
"The_Office_(U.S._TV_series)"
],
[
"Free_Family_Portrait_Studio",
"director",
"B._J._Novak"
],
[
"Free_Family_Portrait_Studio",
"series",
"The_Office_(U.S._TV_series)"
],
[
"Free_Family_Portrait_Studio",
"writer",
"B._J._Novak"
],
[
"Greg_Daniels",
"notableWork",
"The_Office_(U.S._TV_series)"
],
[
"Jon_Boden",
"birthPlace",
"Chicago"
],
[
"Jon_Boden",
"instrument",
"Fiddle"
],
[
"Liz_Carroll",
"genre",
"Celtic_music"
],
[
"Liz_Carroll",
"hometown",
"Chicago"
],
[
"Liz_Carroll",
"instrument",
"Fiddle"
],
[
"Michael_Schur",
"notableWork",
"The_Office_(U.S._TV_series)"
],
[
"Scarlet_Rivera",
"birthPlace",
"Chicago"
],
[
"Scarlet_Rivera",
"genre",
"Celtic_music"
],
[
"The_Office_(U.S._TV_series)",
"developer",
"Greg_Daniels"
],
[
"The_Office_(U.S._TV_series)",
"executiveProducer",
"B._J._Novak"
],
[
"The_Office_(U.S._TV_series)",
"executiveProducer",
"Greg_Daniels"
],
[
"The_Office_(U.S._TV_series)",
"starring",
"B._J._Novak"
],
[
"The_Office_(U.S._TV_series)",
"starring",
"Craig_Robinson_(actor)"
],
[
"The_Office_(U.S._TV_series)",
"starring",
"Melora_Hardin"
],
[
"Valentine's_Day_(The_Office)",
"director",
"Greg_Daniels"
],
[
"Valentine's_Day_(The_Office)",
"previousWork",
"Boys_and_Girls_(The_Office)"
],
[
"Valentine's_Day_(The_Office)",
"series",
"The_Office_(U.S._TV_series)"
],
[
"Valentine's_Day_(The_Office)",
"writer",
"Michael_Schur"
]
],
"ground_truth": [],
"gt_cost": null
} |
dbpedia500 |
You are given a directed graph as two CSV-like sections in this order:
1) Node table (header included):
node_id, node_attr
2) Edge table (header included):
src, edge_attr, dst
Task
- Use ONLY edges from the Edge table to answer the question by outputting a path.
- When printing each edge, replace IDs with the exact node_attr from the Node table.
- Output MUST be text triples, not numeric IDs.
Output format (STRICT — no extra text):
PATH:
("subject"|predicate|"object")
...
END
Rules
- Use only listed edges; do NOT invent edges.
- Map IDs → node_attr; preserve node_attr exactly.
- Output NOTHING outside the PATH block.
- If no path exists, output exactly:
PATH:
END
Graph:
node_id, node_attr
487721, 10th_Baluch_Regiment
408054, 170th_Infantry_Division_(Wehrmacht)
123153, A._P._Herbert
129237, A._V._Alexander,_1st_Earl_Alexander_of_Hillsborough
295893, Alexander_Murray,_1st_Baron_Murray_of_Elibank
226481, Alfred_Emmott,_1st_Baron_Emmott
56975, Archibald_Sinclair,_1st_Viscount_Thurso
429150, Auberon_Herbert,_9th_Baron_Lucas
192050, Auckland_Geddes,_1st_Baron_Geddes
388037, Bernard_Forbes,_8th_Earl_of_Granard
341809, British_people
128773, Cecil_Harmsworth,_1st_Baron_Harmsworth
84104, Charles_Hardinge,_1st_Baron_Hardinge_of_Penshurst
489288, Charles_Hobhouse
8466, Christopher_Thomson,_1st_Baron_Thomson
340994, David_Margesson,_1st_Viscount_Margesson
332182, Donald_Maclean_(British_politician)
322491, Douglas_Hogg,_1st_Viscount_Hailsham
489920, Duff_Cooper
371727, Edwyn_Scudamore-Stanhope,_10th_Earl_of_Chesterfield
384588, Eustace_Percy,_1st_Baron_Percy_of_Newcastle
92675, Francis_Dyke_Acland
388894, Frederick_Cawley,_1st_Baron_Cawley
390314, Frederick_Pethick-Lawrence,_1st_Baron_Pethick-Lawrence
128931, George_Lane-Fox,_1st_Baron_Bingley
381875, George_Lloyd,_1st_Baron_Lloyd
23357, George_Sutherland-Leveson-Gower,_5th_Duke_of_Sutherland
214733, George_V
95915, Hamar_Greenwood,_1st_Viscount_Greenwood
16394, Harold_Rothery_Nutt
464784, Harold_Tennant
203812, Hastings_Lees-Smith
127068, Henry_Fitzalan-Howard,_15th_Duke_of_Norfolk
379997, Henry_Manners,_8th_Duke_of_Rutland
351516, Horace_Farquhar,_1st_Earl_Farquhar
433774, Ian_Macpherson,_1st_Baron_Strathcarron
313826, J._C._C._Davidson,_1st_Viscount_Davidson
437591, J._E._B._Seely,_1st_Baron_Mottistone
273332, James_Hamilton,_3rd_Duke_of_Abercorn
204567, James_Lowther,_1st_Viscount_Ullswater
207092, John_Hamilton-Gordon,_1st_Marquess_of_Aberdeen_and_Temair
861, John_Henry_Whitley
382004, John_Pratt,_4th_Marquess_Camden
98971, John_Profumo
234760, Lawrence_Dundas,_2nd_Marquess_of_Zetland
138401, Leo_Amery
453463, Neil_Primrose_(politician)
435567, Philip_Cunliffe-Lister,_1st_Earl_of_Swinton
81744, Reginald_McKenna
390476, Robert_George_(RAF_officer)
113153, Robert_Munro,_1st_Baron_Alness
97664, Robert_Wynn-Carington,_1st_Marquess_of_Lincolnshire
395341, Samuel_Hoare,_1st_Viscount_Templewood
185413, Siegfried_Haß
420503, Stanley_Buckmaster,_1st_Viscount_Buckmaster
194785, Thomas_Thynne,_5th_Marquess_of_Bath
82656, Tom_Shaw_(politician)
121094, Valerian_Wellesley,_8th_Duke_of_Wellington
384570, Victor_Bulwer-Lytton,_2nd_Earl_of_Lytton
356971, Victor_Warrender,_1st_Baron_Bruntisfield
278868, William_Dudley_Ward
407887, William_Hayes_Fisher,_1st_Baron_Downham
49388, William_Humble_Ward,_2nd_Earl_of_Dudley
76305, William_Mansfield,_1st_Viscount_Sandhurst
1671, William_Palmer,_2nd_Earl_of_Selborne
253061, William_Peel,_1st_Earl_Peel
367405, Willoughby_Norrie,_1st_Baron_Norrie
311401, World_War_II
src, edge_attr, dst
487721, battle, 311401
487721, commander, 214733
408054, battle, 311401
408054, notableCommander, 185413
123153, battle, 311401
123153, monarch, 214733
129237, monarch, 214733
129237, nationality, 341809
295893, monarch, 214733
295893, nationality, 341809
226481, monarch, 214733
226481, nationality, 341809
56975, monarch, 214733
56975, nationality, 341809
429150, monarch, 214733
429150, nationality, 341809
192050, monarch, 214733
192050, nationality, 341809
388037, monarch, 214733
388037, nationality, 341809
388037, predecessor, 194785
388037, successor, 371727
128773, monarch, 214733
128773, nationality, 341809
84104, monarch, 214733
84104, nationality, 341809
489288, monarch, 214733
489288, nationality, 341809
8466, monarch, 214733
8466, nationality, 341809
340994, monarch, 214733
340994, nationality, 341809
332182, monarch, 214733
332182, nationality, 341809
322491, monarch, 214733
322491, nationality, 341809
489920, monarch, 214733
489920, nationality, 341809
371727, monarch, 214733
371727, nationality, 341809
371727, predecessor, 388037
371727, successor, 194785
384588, monarch, 214733
384588, nationality, 341809
92675, monarch, 214733
92675, nationality, 341809
388894, monarch, 214733
388894, nationality, 341809
390314, monarch, 214733
390314, nationality, 341809
128931, monarch, 214733
128931, nationality, 341809
381875, monarch, 214733
381875, nationality, 341809
23357, monarch, 214733
23357, nationality, 341809
95915, monarch, 214733
95915, nationality, 341809
16394, battle, 311401
16394, occupation, 214733
464784, monarch, 214733
464784, nationality, 341809
203812, monarch, 214733
203812, nationality, 341809
127068, monarch, 214733
127068, nationality, 341809
379997, monarch, 214733
379997, nationality, 341809
351516, monarch, 214733
351516, nationality, 341809
351516, predecessor, 371727
433774, monarch, 214733
433774, nationality, 341809
313826, monarch, 214733
313826, nationality, 341809
437591, monarch, 214733
437591, nationality, 341809
273332, monarch, 214733
273332, nationality, 341809
204567, monarch, 214733
204567, nationality, 341809
207092, monarch, 214733
207092, nationality, 341809
861, monarch, 214733
861, nationality, 341809
382004, monarch, 214733
382004, nationality, 341809
98971, battle, 311401
98971, nationality, 341809
234760, monarch, 214733
234760, nationality, 341809
138401, monarch, 214733
138401, nationality, 341809
453463, monarch, 214733
453463, nationality, 341809
435567, monarch, 214733
435567, nationality, 341809
81744, monarch, 214733
81744, nationality, 341809
390476, battle, 311401
390476, nationality, 341809
113153, monarch, 214733
113153, nationality, 341809
97664, monarch, 214733
97664, nationality, 341809
395341, monarch, 214733
395341, nationality, 341809
185413, battle, 311401
420503, monarch, 214733
420503, nationality, 341809
194785, monarch, 214733
194785, nationality, 341809
194785, predecessor, 371727
194785, successor, 388037
82656, monarch, 214733
82656, nationality, 341809
121094, battle, 311401
121094, nationality, 341809
384570, monarch, 214733
384570, nationality, 341809
356971, monarch, 214733
356971, nationality, 341809
278868, monarch, 214733
278868, nationality, 341809
407887, monarch, 214733
407887, nationality, 341809
49388, monarch, 214733
49388, nationality, 341809
76305, monarch, 214733
76305, nationality, 341809
1671, monarch, 214733
1671, nationality, 341809
253061, monarch, 214733
253061, nationality, 341809
367405, battle, 311401
367405, nationality, 341809
Question: In what context are 170th_Infantry_Division_(Wehrmacht) and Bernard_Forbes,_8th_Earl_of_Granard connected?
Your output must be ONLY the PATH block.
| graph_path | {
"style": "rule"
} | {
"entities": [
"170th_Infantry_Division_(Wehrmacht)",
"Bernard_Forbes,_8th_Earl_of_Granard"
],
"valid_edges": [
[
"10th_Baluch_Regiment",
"battle",
"World_War_II"
],
[
"10th_Baluch_Regiment",
"commander",
"George_V"
],
[
"170th_Infantry_Division_(Wehrmacht)",
"battle",
"World_War_II"
],
[
"170th_Infantry_Division_(Wehrmacht)",
"notableCommander",
"Siegfried_Haß"
],
[
"A._P._Herbert",
"battle",
"World_War_II"
],
[
"A._P._Herbert",
"monarch",
"George_V"
],
[
"A._V._Alexander,_1st_Earl_Alexander_of_Hillsborough",
"monarch",
"George_V"
],
[
"A._V._Alexander,_1st_Earl_Alexander_of_Hillsborough",
"nationality",
"British_people"
],
[
"Alexander_Murray,_1st_Baron_Murray_of_Elibank",
"monarch",
"George_V"
],
[
"Alexander_Murray,_1st_Baron_Murray_of_Elibank",
"nationality",
"British_people"
],
[
"Alfred_Emmott,_1st_Baron_Emmott",
"monarch",
"George_V"
],
[
"Alfred_Emmott,_1st_Baron_Emmott",
"nationality",
"British_people"
],
[
"Archibald_Sinclair,_1st_Viscount_Thurso",
"monarch",
"George_V"
],
[
"Archibald_Sinclair,_1st_Viscount_Thurso",
"nationality",
"British_people"
],
[
"Auberon_Herbert,_9th_Baron_Lucas",
"monarch",
"George_V"
],
[
"Auberon_Herbert,_9th_Baron_Lucas",
"nationality",
"British_people"
],
[
"Auckland_Geddes,_1st_Baron_Geddes",
"monarch",
"George_V"
],
[
"Auckland_Geddes,_1st_Baron_Geddes",
"nationality",
"British_people"
],
[
"Bernard_Forbes,_8th_Earl_of_Granard",
"monarch",
"George_V"
],
[
"Bernard_Forbes,_8th_Earl_of_Granard",
"nationality",
"British_people"
],
[
"Bernard_Forbes,_8th_Earl_of_Granard",
"predecessor",
"Thomas_Thynne,_5th_Marquess_of_Bath"
],
[
"Bernard_Forbes,_8th_Earl_of_Granard",
"successor",
"Edwyn_Scudamore-Stanhope,_10th_Earl_of_Chesterfield"
],
[
"Cecil_Harmsworth,_1st_Baron_Harmsworth",
"monarch",
"George_V"
],
[
"Cecil_Harmsworth,_1st_Baron_Harmsworth",
"nationality",
"British_people"
],
[
"Charles_Hardinge,_1st_Baron_Hardinge_of_Penshurst",
"monarch",
"George_V"
],
[
"Charles_Hardinge,_1st_Baron_Hardinge_of_Penshurst",
"nationality",
"British_people"
],
[
"Charles_Hobhouse",
"monarch",
"George_V"
],
[
"Charles_Hobhouse",
"nationality",
"British_people"
],
[
"Christopher_Thomson,_1st_Baron_Thomson",
"monarch",
"George_V"
],
[
"Christopher_Thomson,_1st_Baron_Thomson",
"nationality",
"British_people"
],
[
"David_Margesson,_1st_Viscount_Margesson",
"monarch",
"George_V"
],
[
"David_Margesson,_1st_Viscount_Margesson",
"nationality",
"British_people"
],
[
"Donald_Maclean_(British_politician)",
"monarch",
"George_V"
],
[
"Donald_Maclean_(British_politician)",
"nationality",
"British_people"
],
[
"Douglas_Hogg,_1st_Viscount_Hailsham",
"monarch",
"George_V"
],
[
"Douglas_Hogg,_1st_Viscount_Hailsham",
"nationality",
"British_people"
],
[
"Duff_Cooper",
"monarch",
"George_V"
],
[
"Duff_Cooper",
"nationality",
"British_people"
],
[
"Edwyn_Scudamore-Stanhope,_10th_Earl_of_Chesterfield",
"monarch",
"George_V"
],
[
"Edwyn_Scudamore-Stanhope,_10th_Earl_of_Chesterfield",
"nationality",
"British_people"
],
[
"Edwyn_Scudamore-Stanhope,_10th_Earl_of_Chesterfield",
"predecessor",
"Bernard_Forbes,_8th_Earl_of_Granard"
],
[
"Edwyn_Scudamore-Stanhope,_10th_Earl_of_Chesterfield",
"successor",
"Thomas_Thynne,_5th_Marquess_of_Bath"
],
[
"Eustace_Percy,_1st_Baron_Percy_of_Newcastle",
"monarch",
"George_V"
],
[
"Eustace_Percy,_1st_Baron_Percy_of_Newcastle",
"nationality",
"British_people"
],
[
"Francis_Dyke_Acland",
"monarch",
"George_V"
],
[
"Francis_Dyke_Acland",
"nationality",
"British_people"
],
[
"Frederick_Cawley,_1st_Baron_Cawley",
"monarch",
"George_V"
],
[
"Frederick_Cawley,_1st_Baron_Cawley",
"nationality",
"British_people"
],
[
"Frederick_Pethick-Lawrence,_1st_Baron_Pethick-Lawrence",
"monarch",
"George_V"
],
[
"Frederick_Pethick-Lawrence,_1st_Baron_Pethick-Lawrence",
"nationality",
"British_people"
],
[
"George_Lane-Fox,_1st_Baron_Bingley",
"monarch",
"George_V"
],
[
"George_Lane-Fox,_1st_Baron_Bingley",
"nationality",
"British_people"
],
[
"George_Lloyd,_1st_Baron_Lloyd",
"monarch",
"George_V"
],
[
"George_Lloyd,_1st_Baron_Lloyd",
"nationality",
"British_people"
],
[
"George_Sutherland-Leveson-Gower,_5th_Duke_of_Sutherland",
"monarch",
"George_V"
],
[
"George_Sutherland-Leveson-Gower,_5th_Duke_of_Sutherland",
"nationality",
"British_people"
],
[
"Hamar_Greenwood,_1st_Viscount_Greenwood",
"monarch",
"George_V"
],
[
"Hamar_Greenwood,_1st_Viscount_Greenwood",
"nationality",
"British_people"
],
[
"Harold_Rothery_Nutt",
"battle",
"World_War_II"
],
[
"Harold_Rothery_Nutt",
"occupation",
"George_V"
],
[
"Harold_Tennant",
"monarch",
"George_V"
],
[
"Harold_Tennant",
"nationality",
"British_people"
],
[
"Hastings_Lees-Smith",
"monarch",
"George_V"
],
[
"Hastings_Lees-Smith",
"nationality",
"British_people"
],
[
"Henry_Fitzalan-Howard,_15th_Duke_of_Norfolk",
"monarch",
"George_V"
],
[
"Henry_Fitzalan-Howard,_15th_Duke_of_Norfolk",
"nationality",
"British_people"
],
[
"Henry_Manners,_8th_Duke_of_Rutland",
"monarch",
"George_V"
],
[
"Henry_Manners,_8th_Duke_of_Rutland",
"nationality",
"British_people"
],
[
"Horace_Farquhar,_1st_Earl_Farquhar",
"monarch",
"George_V"
],
[
"Horace_Farquhar,_1st_Earl_Farquhar",
"nationality",
"British_people"
],
[
"Horace_Farquhar,_1st_Earl_Farquhar",
"predecessor",
"Edwyn_Scudamore-Stanhope,_10th_Earl_of_Chesterfield"
],
[
"Ian_Macpherson,_1st_Baron_Strathcarron",
"monarch",
"George_V"
],
[
"Ian_Macpherson,_1st_Baron_Strathcarron",
"nationality",
"British_people"
],
[
"J._C._C._Davidson,_1st_Viscount_Davidson",
"monarch",
"George_V"
],
[
"J._C._C._Davidson,_1st_Viscount_Davidson",
"nationality",
"British_people"
],
[
"J._E._B._Seely,_1st_Baron_Mottistone",
"monarch",
"George_V"
],
[
"J._E._B._Seely,_1st_Baron_Mottistone",
"nationality",
"British_people"
],
[
"James_Hamilton,_3rd_Duke_of_Abercorn",
"monarch",
"George_V"
],
[
"James_Hamilton,_3rd_Duke_of_Abercorn",
"nationality",
"British_people"
],
[
"James_Lowther,_1st_Viscount_Ullswater",
"monarch",
"George_V"
],
[
"James_Lowther,_1st_Viscount_Ullswater",
"nationality",
"British_people"
],
[
"John_Hamilton-Gordon,_1st_Marquess_of_Aberdeen_and_Temair",
"monarch",
"George_V"
],
[
"John_Hamilton-Gordon,_1st_Marquess_of_Aberdeen_and_Temair",
"nationality",
"British_people"
],
[
"John_Henry_Whitley",
"monarch",
"George_V"
],
[
"John_Henry_Whitley",
"nationality",
"British_people"
],
[
"John_Pratt,_4th_Marquess_Camden",
"monarch",
"George_V"
],
[
"John_Pratt,_4th_Marquess_Camden",
"nationality",
"British_people"
],
[
"John_Profumo",
"battle",
"World_War_II"
],
[
"John_Profumo",
"nationality",
"British_people"
],
[
"Lawrence_Dundas,_2nd_Marquess_of_Zetland",
"monarch",
"George_V"
],
[
"Lawrence_Dundas,_2nd_Marquess_of_Zetland",
"nationality",
"British_people"
],
[
"Leo_Amery",
"monarch",
"George_V"
],
[
"Leo_Amery",
"nationality",
"British_people"
],
[
"Neil_Primrose_(politician)",
"monarch",
"George_V"
],
[
"Neil_Primrose_(politician)",
"nationality",
"British_people"
],
[
"Philip_Cunliffe-Lister,_1st_Earl_of_Swinton",
"monarch",
"George_V"
],
[
"Philip_Cunliffe-Lister,_1st_Earl_of_Swinton",
"nationality",
"British_people"
],
[
"Reginald_McKenna",
"monarch",
"George_V"
],
[
"Reginald_McKenna",
"nationality",
"British_people"
],
[
"Robert_George_(RAF_officer)",
"battle",
"World_War_II"
],
[
"Robert_George_(RAF_officer)",
"nationality",
"British_people"
],
[
"Robert_Munro,_1st_Baron_Alness",
"monarch",
"George_V"
],
[
"Robert_Munro,_1st_Baron_Alness",
"nationality",
"British_people"
],
[
"Robert_Wynn-Carington,_1st_Marquess_of_Lincolnshire",
"monarch",
"George_V"
],
[
"Robert_Wynn-Carington,_1st_Marquess_of_Lincolnshire",
"nationality",
"British_people"
],
[
"Samuel_Hoare,_1st_Viscount_Templewood",
"monarch",
"George_V"
],
[
"Samuel_Hoare,_1st_Viscount_Templewood",
"nationality",
"British_people"
],
[
"Siegfried_Haß",
"battle",
"World_War_II"
],
[
"Stanley_Buckmaster,_1st_Viscount_Buckmaster",
"monarch",
"George_V"
],
[
"Stanley_Buckmaster,_1st_Viscount_Buckmaster",
"nationality",
"British_people"
],
[
"Thomas_Thynne,_5th_Marquess_of_Bath",
"monarch",
"George_V"
],
[
"Thomas_Thynne,_5th_Marquess_of_Bath",
"nationality",
"British_people"
],
[
"Thomas_Thynne,_5th_Marquess_of_Bath",
"predecessor",
"Edwyn_Scudamore-Stanhope,_10th_Earl_of_Chesterfield"
],
[
"Thomas_Thynne,_5th_Marquess_of_Bath",
"successor",
"Bernard_Forbes,_8th_Earl_of_Granard"
],
[
"Tom_Shaw_(politician)",
"monarch",
"George_V"
],
[
"Tom_Shaw_(politician)",
"nationality",
"British_people"
],
[
"Valerian_Wellesley,_8th_Duke_of_Wellington",
"battle",
"World_War_II"
],
[
"Valerian_Wellesley,_8th_Duke_of_Wellington",
"nationality",
"British_people"
],
[
"Victor_Bulwer-Lytton,_2nd_Earl_of_Lytton",
"monarch",
"George_V"
],
[
"Victor_Bulwer-Lytton,_2nd_Earl_of_Lytton",
"nationality",
"British_people"
],
[
"Victor_Warrender,_1st_Baron_Bruntisfield",
"monarch",
"George_V"
],
[
"Victor_Warrender,_1st_Baron_Bruntisfield",
"nationality",
"British_people"
],
[
"William_Dudley_Ward",
"monarch",
"George_V"
],
[
"William_Dudley_Ward",
"nationality",
"British_people"
],
[
"William_Hayes_Fisher,_1st_Baron_Downham",
"monarch",
"George_V"
],
[
"William_Hayes_Fisher,_1st_Baron_Downham",
"nationality",
"British_people"
],
[
"William_Humble_Ward,_2nd_Earl_of_Dudley",
"monarch",
"George_V"
],
[
"William_Humble_Ward,_2nd_Earl_of_Dudley",
"nationality",
"British_people"
],
[
"William_Mansfield,_1st_Viscount_Sandhurst",
"monarch",
"George_V"
],
[
"William_Mansfield,_1st_Viscount_Sandhurst",
"nationality",
"British_people"
],
[
"William_Palmer,_2nd_Earl_of_Selborne",
"monarch",
"George_V"
],
[
"William_Palmer,_2nd_Earl_of_Selborne",
"nationality",
"British_people"
],
[
"William_Peel,_1st_Earl_Peel",
"monarch",
"George_V"
],
[
"William_Peel,_1st_Earl_Peel",
"nationality",
"British_people"
],
[
"Willoughby_Norrie,_1st_Baron_Norrie",
"battle",
"World_War_II"
],
[
"Willoughby_Norrie,_1st_Baron_Norrie",
"nationality",
"British_people"
]
],
"ground_truth": [],
"gt_cost": null
} |
dbpedia500 |
You are given a directed graph as two CSV-like sections in this order:
1) Node table (header included):
node_id, node_attr
2) Edge table (header included):
src, edge_attr, dst
Task
- Use ONLY edges from the Edge table to answer the question by outputting a path.
- When printing each edge, replace IDs with the exact node_attr from the Node table.
- Output MUST be text triples, not numeric IDs.
Output format (STRICT — no extra text):
PATH:
("subject"|predicate|"object")
...
END
Rules
- Use only listed edges; do NOT invent edges.
- Map IDs → node_attr; preserve node_attr exactly.
- Output NOTHING outside the PATH block.
- If no path exists, output exactly:
PATH:
END
Graph:
node_id, node_attr
435309, Asterix_&_Obelix:_Mission_Cleopatra
424428, Blood:_The_Last_Vampire_(2009_film)
336356, Enzo_Tortora
282807, Italy
437443, Liam_Cunningham
376763, Pathé
395008, The_Return_of_Monte_Cristo_(1968_film)
394877, The_Three_Musketeers_(1953_film)
277678, The_Three_Musketeers_(1961_film)
240583, The_Wind_That_Shakes_the_Barley_(film)
344323, Titanic:_Blood_and_Steel
28091, Youth_Without_Youth_(film)
src, edge_attr, dst
435309, country, 282807
435309, distributor, 376763
424428, distributor, 376763
424428, starring, 437443
336356, deathPlace, 282807
336356, nationality, 282807
395008, country, 282807
395008, distributor, 376763
394877, country, 282807
394877, distributor, 376763
277678, country, 282807
277678, distributor, 376763
240583, distributor, 376763
240583, starring, 437443
344323, country, 282807
344323, starring, 437443
28091, country, 282807
28091, distributor, 376763
Question: For what reason are Blood:_The_Last_Vampire_(2009_film) and Enzo_Tortora associated?
Your output must be ONLY the PATH block.
| graph_path | {
"style": "rule"
} | {
"entities": [
"Blood:_The_Last_Vampire_(2009_film)",
"Enzo_Tortora"
],
"valid_edges": [
[
"Asterix_&_Obelix:_Mission_Cleopatra",
"country",
"Italy"
],
[
"Asterix_&_Obelix:_Mission_Cleopatra",
"distributor",
"Pathé"
],
[
"Blood:_The_Last_Vampire_(2009_film)",
"distributor",
"Pathé"
],
[
"Blood:_The_Last_Vampire_(2009_film)",
"starring",
"Liam_Cunningham"
],
[
"Enzo_Tortora",
"deathPlace",
"Italy"
],
[
"Enzo_Tortora",
"nationality",
"Italy"
],
[
"The_Return_of_Monte_Cristo_(1968_film)",
"country",
"Italy"
],
[
"The_Return_of_Monte_Cristo_(1968_film)",
"distributor",
"Pathé"
],
[
"The_Three_Musketeers_(1953_film)",
"country",
"Italy"
],
[
"The_Three_Musketeers_(1953_film)",
"distributor",
"Pathé"
],
[
"The_Three_Musketeers_(1961_film)",
"country",
"Italy"
],
[
"The_Three_Musketeers_(1961_film)",
"distributor",
"Pathé"
],
[
"The_Wind_That_Shakes_the_Barley_(film)",
"distributor",
"Pathé"
],
[
"The_Wind_That_Shakes_the_Barley_(film)",
"starring",
"Liam_Cunningham"
],
[
"Titanic:_Blood_and_Steel",
"country",
"Italy"
],
[
"Titanic:_Blood_and_Steel",
"starring",
"Liam_Cunningham"
],
[
"Youth_Without_Youth_(film)",
"country",
"Italy"
],
[
"Youth_Without_Youth_(film)",
"distributor",
"Pathé"
]
],
"ground_truth": [],
"gt_cost": null
} |
dbpedia500 |
You are given a directed graph as two CSV-like sections in this order:
1) Node table (header included):
node_id, node_attr
2) Edge table (header included):
src, edge_attr, dst
Task
- Use ONLY edges from the Edge table to answer the question by outputting a path.
- When printing each edge, replace IDs with the exact node_attr from the Node table.
- Output MUST be text triples, not numeric IDs.
Output format (STRICT — no extra text):
PATH:
("subject"|predicate|"object")
...
END
Rules
- Use only listed edges; do NOT invent edges.
- Map IDs → node_attr; preserve node_attr exactly.
- Output NOTHING outside the PATH block.
- If no path exists, output exactly:
PATH:
END
Graph:
node_id, node_attr
377237, Afterparty_Babies
159015, Alternative_hip_hop
124928, Audrey_Napoleon
396976, C-drik_Fermont
468952, Comfort,_Texas
476228, David_Castell
358042, Edmonton
48961, Electronic_music
391583, Fort_Worth,_Texas
223226, Gene_Carrigan
183360, George_Fraska
219798, Greyson_Chance
121116, Jay_Boy_Adams
38253, Johnny_Jewel
276900, Lubbock,_Texas
343526, Mark_Templeton_(electronic_musician)
166256, Mono/Poly
358463, Neo_soul
298239, Omar_Rodríguez-López
127233, Psyche_(band)
384556, San_Antonio
80255, Sixtoo
487193, Tarrant_County,_Texas
187247, Texas
123403, Texas_Tech_University
130005, The_Jackofficers
116099, Thom_Brennan
157020, Tobacco_(musician)
383472, Trip_hop
340632, U.S._Route_87
src, edge_attr, dst
377237, genre, 159015
377237, genre, 48961
377237, recordedIn, 358042
159015, derivative, 358463
159015, derivative, 383472
159015, stylisticOrigin, 48961
124928, birthPlace, 187247
124928, genre, 48961
396976, genre, 159015
396976, genre, 48961
468952, isPartOf, 187247
476228, genre, 48961
476228, hometown, 187247
391583, isPartOf, 187247
223226, birthPlace, 358042
223226, deathPlace, 187247
183360, genre, 48961
183360, hometown, 187247
219798, birthPlace, 187247
219798, genre, 48961
121116, almaMater, 123403
121116, birthPlace, 391583
121116, birthPlace, 487193
121116, birthPlace, 187247
121116, residence, 468952
121116, residence, 276900
121116, residence, 187247
38253, birthPlace, 187247
38253, genre, 48961
276900, isPartOf, 187247
343526, genre, 48961
343526, hometown, 358042
166256, genre, 159015
166256, genre, 48961
358463, stylisticOrigin, 48961
298239, genre, 48961
298239, hometown, 187247
127233, genre, 48961
127233, hometown, 358042
384556, isPartOf, 187247
80255, genre, 159015
80255, genre, 48961
487193, state, 187247
123403, state, 187247
130005, genre, 48961
130005, hometown, 187247
116099, birthPlace, 187247
116099, genre, 48961
157020, genre, 159015
157020, genre, 48961
383472, stylisticOrigin, 48961
340632, routeJunction, 468952
340632, routeJunction, 276900
340632, routeJunction, 384556
Question: How are Afterparty_Babies and Comfort,_Texas related?
Your output must be ONLY the PATH block.
| graph_path | {
"style": "rule"
} | {
"entities": [
"Afterparty_Babies",
"Comfort,_Texas"
],
"valid_edges": [
[
"Afterparty_Babies",
"genre",
"Alternative_hip_hop"
],
[
"Afterparty_Babies",
"genre",
"Electronic_music"
],
[
"Afterparty_Babies",
"recordedIn",
"Edmonton"
],
[
"Alternative_hip_hop",
"derivative",
"Neo_soul"
],
[
"Alternative_hip_hop",
"derivative",
"Trip_hop"
],
[
"Alternative_hip_hop",
"stylisticOrigin",
"Electronic_music"
],
[
"Audrey_Napoleon",
"birthPlace",
"Texas"
],
[
"Audrey_Napoleon",
"genre",
"Electronic_music"
],
[
"C-drik_Fermont",
"genre",
"Alternative_hip_hop"
],
[
"C-drik_Fermont",
"genre",
"Electronic_music"
],
[
"Comfort,_Texas",
"isPartOf",
"Texas"
],
[
"David_Castell",
"genre",
"Electronic_music"
],
[
"David_Castell",
"hometown",
"Texas"
],
[
"Fort_Worth,_Texas",
"isPartOf",
"Texas"
],
[
"Gene_Carrigan",
"birthPlace",
"Edmonton"
],
[
"Gene_Carrigan",
"deathPlace",
"Texas"
],
[
"George_Fraska",
"genre",
"Electronic_music"
],
[
"George_Fraska",
"hometown",
"Texas"
],
[
"Greyson_Chance",
"birthPlace",
"Texas"
],
[
"Greyson_Chance",
"genre",
"Electronic_music"
],
[
"Jay_Boy_Adams",
"almaMater",
"Texas_Tech_University"
],
[
"Jay_Boy_Adams",
"birthPlace",
"Fort_Worth,_Texas"
],
[
"Jay_Boy_Adams",
"birthPlace",
"Tarrant_County,_Texas"
],
[
"Jay_Boy_Adams",
"birthPlace",
"Texas"
],
[
"Jay_Boy_Adams",
"residence",
"Comfort,_Texas"
],
[
"Jay_Boy_Adams",
"residence",
"Lubbock,_Texas"
],
[
"Jay_Boy_Adams",
"residence",
"Texas"
],
[
"Johnny_Jewel",
"birthPlace",
"Texas"
],
[
"Johnny_Jewel",
"genre",
"Electronic_music"
],
[
"Lubbock,_Texas",
"isPartOf",
"Texas"
],
[
"Mark_Templeton_(electronic_musician)",
"genre",
"Electronic_music"
],
[
"Mark_Templeton_(electronic_musician)",
"hometown",
"Edmonton"
],
[
"Mono/Poly",
"genre",
"Alternative_hip_hop"
],
[
"Mono/Poly",
"genre",
"Electronic_music"
],
[
"Neo_soul",
"stylisticOrigin",
"Electronic_music"
],
[
"Omar_Rodríguez-López",
"genre",
"Electronic_music"
],
[
"Omar_Rodríguez-López",
"hometown",
"Texas"
],
[
"Psyche_(band)",
"genre",
"Electronic_music"
],
[
"Psyche_(band)",
"hometown",
"Edmonton"
],
[
"San_Antonio",
"isPartOf",
"Texas"
],
[
"Sixtoo",
"genre",
"Alternative_hip_hop"
],
[
"Sixtoo",
"genre",
"Electronic_music"
],
[
"Tarrant_County,_Texas",
"state",
"Texas"
],
[
"Texas_Tech_University",
"state",
"Texas"
],
[
"The_Jackofficers",
"genre",
"Electronic_music"
],
[
"The_Jackofficers",
"hometown",
"Texas"
],
[
"Thom_Brennan",
"birthPlace",
"Texas"
],
[
"Thom_Brennan",
"genre",
"Electronic_music"
],
[
"Tobacco_(musician)",
"genre",
"Alternative_hip_hop"
],
[
"Tobacco_(musician)",
"genre",
"Electronic_music"
],
[
"Trip_hop",
"stylisticOrigin",
"Electronic_music"
],
[
"U.S._Route_87",
"routeJunction",
"Comfort,_Texas"
],
[
"U.S._Route_87",
"routeJunction",
"Lubbock,_Texas"
],
[
"U.S._Route_87",
"routeJunction",
"San_Antonio"
]
],
"ground_truth": [],
"gt_cost": null
} |
dbpedia500 |
You are given a directed graph as two CSV-like sections in this order:
1) Node table (header included):
node_id, node_attr
2) Edge table (header included):
src, edge_attr, dst
Task
- Use ONLY edges from the Edge table to answer the question by outputting a path.
- When printing each edge, replace IDs with the exact node_attr from the Node table.
- Output MUST be text triples, not numeric IDs.
Output format (STRICT — no extra text):
PATH:
("subject"|predicate|"object")
...
END
Rules
- Use only listed edges; do NOT invent edges.
- Map IDs → node_attr; preserve node_attr exactly.
- Output NOTHING outside the PATH block.
- If no path exists, output exactly:
PATH:
END
Graph:
node_id, node_attr
311386, A_War_You_Cannot_Win
256492, Belgrade
21916, Metalcore
165211, Miodrag_Jovanović_(footballer,_born_1922)
247124, Sick_Mother_Fakers
src, edge_attr, dst
311386, genre, 21916
165211, birthPlace, 256492
247124, genre, 21916
247124, hometown, 256492
Question: For what reason are A_War_You_Cannot_Win and Miodrag_Jovanović_(footballer,_born_1922) associated?
Your output must be ONLY the PATH block.
| graph_path | {
"style": "rule"
} | {
"entities": [
"A_War_You_Cannot_Win",
"Miodrag_Jovanović_(footballer,_born_1922)"
],
"valid_edges": [
[
"A_War_You_Cannot_Win",
"genre",
"Metalcore"
],
[
"Miodrag_Jovanović_(footballer,_born_1922)",
"birthPlace",
"Belgrade"
],
[
"Sick_Mother_Fakers",
"genre",
"Metalcore"
],
[
"Sick_Mother_Fakers",
"hometown",
"Belgrade"
]
],
"ground_truth": [],
"gt_cost": null
} |
dbpedia500 |
You are given a directed graph as two CSV-like sections in this order:
1) Node table (header included):
node_id, node_attr
2) Edge table (header included):
src, edge_attr, dst
Task
- Use ONLY edges from the Edge table to answer the question by outputting a path.
- When printing each edge, replace IDs with the exact node_attr from the Node table.
- Output MUST be text triples, not numeric IDs.
Output format (STRICT — no extra text):
PATH:
("subject"|predicate|"object")
...
END
Rules
- Use only listed edges; do NOT invent edges.
- Map IDs → node_attr; preserve node_attr exactly.
- Output NOTHING outside the PATH block.
- If no path exists, output exactly:
PATH:
END
Graph:
node_id, node_attr
474526, Alfred_Jefferis_Turner
398320, Guangzhou
229504, Guangzhou_Pharmaceuticals
177409, Huang_Hongtao
410985, Hunan_Billows_F.C.
164753, Li_Hui_(footballer)
257197, Ou_Chuliang
272185, Ren_Jiaqing
256408, Wu_Qunli
486204, Ye_Zhibin
375856, Yunnan_Hongta_F.C.
61893, Zhou_Suian
src, edge_attr, dst
474526, birthPlace, 398320
229504, locationCity, 398320
177409, birthPlace, 398320
177409, managerClub, 229504
164753, managerClub, 410985
164753, managerClub, 375856
257197, birthPlace, 398320
257197, team, 375856
272185, managerClub, 229504
272185, managerClub, 410985
272185, managerClub, 375856
256408, birthPlace, 398320
256408, managerClub, 410985
486204, birthPlace, 398320
486204, managerClub, 229504
61893, birthPlace, 398320
61893, managerClub, 375856
Question: In what context are Alfred_Jefferis_Turner and Ren_Jiaqing connected?
Your output must be ONLY the PATH block.
| graph_path | {
"style": "rule"
} | {
"entities": [
"Alfred_Jefferis_Turner",
"Ren_Jiaqing"
],
"valid_edges": [
[
"Alfred_Jefferis_Turner",
"birthPlace",
"Guangzhou"
],
[
"Guangzhou_Pharmaceuticals",
"locationCity",
"Guangzhou"
],
[
"Huang_Hongtao",
"birthPlace",
"Guangzhou"
],
[
"Huang_Hongtao",
"managerClub",
"Guangzhou_Pharmaceuticals"
],
[
"Li_Hui_(footballer)",
"managerClub",
"Hunan_Billows_F.C."
],
[
"Li_Hui_(footballer)",
"managerClub",
"Yunnan_Hongta_F.C."
],
[
"Ou_Chuliang",
"birthPlace",
"Guangzhou"
],
[
"Ou_Chuliang",
"team",
"Yunnan_Hongta_F.C."
],
[
"Ren_Jiaqing",
"managerClub",
"Guangzhou_Pharmaceuticals"
],
[
"Ren_Jiaqing",
"managerClub",
"Hunan_Billows_F.C."
],
[
"Ren_Jiaqing",
"managerClub",
"Yunnan_Hongta_F.C."
],
[
"Wu_Qunli",
"birthPlace",
"Guangzhou"
],
[
"Wu_Qunli",
"managerClub",
"Hunan_Billows_F.C."
],
[
"Ye_Zhibin",
"birthPlace",
"Guangzhou"
],
[
"Ye_Zhibin",
"managerClub",
"Guangzhou_Pharmaceuticals"
],
[
"Zhou_Suian",
"birthPlace",
"Guangzhou"
],
[
"Zhou_Suian",
"managerClub",
"Yunnan_Hongta_F.C."
]
],
"ground_truth": [],
"gt_cost": null
} |
dbpedia500 |
You are given a directed graph as two CSV-like sections in this order:
1) Node table (header included):
node_id, node_attr
2) Edge table (header included):
src, edge_attr, dst
Task
- Use ONLY edges from the Edge table to answer the question by outputting a path.
- When printing each edge, replace IDs with the exact node_attr from the Node table.
- Output MUST be text triples, not numeric IDs.
Output format (STRICT — no extra text):
PATH:
("subject"|predicate|"object")
...
END
Rules
- Use only listed edges; do NOT invent edges.
- Map IDs → node_attr; preserve node_attr exactly.
- Output NOTHING outside the PATH block.
- If no path exists, output exactly:
PATH:
END
Graph:
node_id, node_attr
418102, Dave_Formula
371381, Decca_Records
272580, Elf_(band)
350385, Gary_Bowyer
6850, James_(band)
155198, Manchester
202575, Slaughter_&_The_Dogs
src, edge_attr, dst
418102, birthPlace, 155198
418102, recordLabel, 371381
272580, formerBandMember, 272580
272580, recordLabel, 371381
350385, birthPlace, 155198
6850, hometown, 155198
6850, recordLabel, 371381
202575, hometown, 155198
202575, recordLabel, 371381
Question: For what reason are Elf_(band) and Gary_Bowyer associated?
Your output must be ONLY the PATH block.
| graph_path | {
"style": "rule"
} | {
"entities": [
"Elf_(band)",
"Gary_Bowyer"
],
"valid_edges": [
[
"Dave_Formula",
"birthPlace",
"Manchester"
],
[
"Dave_Formula",
"recordLabel",
"Decca_Records"
],
[
"Elf_(band)",
"formerBandMember",
"Elf_(band)"
],
[
"Elf_(band)",
"recordLabel",
"Decca_Records"
],
[
"Gary_Bowyer",
"birthPlace",
"Manchester"
],
[
"James_(band)",
"hometown",
"Manchester"
],
[
"James_(band)",
"recordLabel",
"Decca_Records"
],
[
"Slaughter_&_The_Dogs",
"hometown",
"Manchester"
],
[
"Slaughter_&_The_Dogs",
"recordLabel",
"Decca_Records"
]
],
"ground_truth": [],
"gt_cost": null
} |
dbpedia500 |
You are given a directed graph as two CSV-like sections in this order:
1) Node table (header included):
node_id, node_attr
2) Edge table (header included):
src, edge_attr, dst
Task
- Use ONLY edges from the Edge table to answer the question by outputting a path.
- When printing each edge, replace IDs with the exact node_attr from the Node table.
- Output MUST be text triples, not numeric IDs.
Output format (STRICT — no extra text):
PATH:
("subject"|predicate|"object")
...
END
Rules
- Use only listed edges; do NOT invent edges.
- Map IDs → node_attr; preserve node_attr exactly.
- Output NOTHING outside the PATH block.
- If no path exists, output exactly:
PATH:
END
Graph:
node_id, node_attr
317395, 5_(Lenny_Kravitz_album)
283505, 5th_Ward_Boyz
103524, Always_on_the_Run
344567, American_Woman
421683, Are_You_Gonna_Go_My_Way
486703, Are_You_Gonna_Go_My_Way_(song)
284975, Baptism_(Lenny_Kravitz_album)
361463, Bass_guitar
359892, Ben_Harper
170815, Big_Boys
76637, Big_Time_(Peter_Gabriel_song)
57706, Both_Sides_of_the_Gun
365290, Carleen_Anderson
204372, Cassell_Webb
73282, Charlie_Brown_Jr.
273271, Circus_(Lenny_Kravitz_album)
473375, DJ_Premier
5792, Dancin'_Til_Dawn
92584, Diamonds_On_the_Inside
210166, Drum_kit
118676, Electric_guitar
83051, Fly_Away_(Lenny_Kravitz_song)
252227, Fly_or_Die
108897, Funk
25286, Funk_rock
147325, Funkadelic
91155, George_D._Keathley
256702, Geto_Boys
306817, Golden_Years_(song)
239454, Hot_Stuff_(The_Rolling_Stones_song)
120418, In_Search_of..._(N.E.R.D_album)
135791, It_Ain't_Over_'til_It's_Over
268447, Jumping_Monks
335526, Just_a_Job_to_Do
375547, Lapdance_(song)
74761, Lenny_Kravitz
308191, Let_Love_Rule
456792, Let_Love_Rule_(song)
410428, Love_Love_Love_(Lenny_Kravitz_song)
286335, Main_Offender
333121, Mama_Said_(album)
143308, Monsters_and_Robots
117719, Mr._Cab_Driver
44026, N.E.R.D
104071, Naïve_(song)
71070, Parliament-Funkadelic
71047, Parliament_(band)
382677, Provision_(album)
389498, Psychedelic_rock
401383, Psychedelic_soul
364130, Rock_Star_(N.E.R.D_song)
289841, Sing_a_Simple_Song
379699, Stillness_of_Heart
285713, Sydney_Youngblood
14873, Talk_Is_Cheap
187247, Texas
239192, Tiffany_Villarreal
226479, Virgin_Records
231449, Wood_Beez_(Pray_Like_Aretha_Franklin)
src, edge_attr, dst
317395, artist, 74761
317395, genre, 25286
317395, genre, 401383
317395, producer, 74761
317395, recordLabel, 226479
283505, hometown, 187247
283505, recordLabel, 226479
103524, album, 333121
103524, genre, 25286
103524, musicalArtist, 74761
103524, musicalBand, 74761
103524, previousWork, 308191
103524, producer, 74761
103524, recordLabel, 226479
103524, subsequentWork, 135791
103524, writer, 74761
344567, genre, 25286
344567, musicalArtist, 74761
344567, musicalBand, 74761
344567, producer, 74761
344567, recordLabel, 226479
421683, artist, 74761
421683, genre, 25286
421683, genre, 401383
421683, previousWork, 333121
421683, producer, 74761
421683, recordLabel, 226479
421683, subsequentWork, 273271
486703, album, 421683
486703, genre, 25286
486703, musicalArtist, 74761
486703, musicalBand, 74761
486703, producer, 74761
486703, recordLabel, 226479
486703, writer, 74761
284975, artist, 74761
284975, genre, 25286
284975, producer, 74761
284975, recordLabel, 226479
359892, genre, 25286
359892, recordLabel, 226479
170815, genre, 25286
170815, hometown, 187247
76637, genre, 25286
76637, recordLabel, 226479
57706, genre, 25286
57706, recordLabel, 226479
365290, birthPlace, 187247
365290, recordLabel, 226479
204372, birthPlace, 187247
204372, recordLabel, 226479
73282, genre, 25286
73282, recordLabel, 226479
273271, artist, 74761
273271, genre, 25286
273271, previousWork, 421683
273271, producer, 74761
273271, recordLabel, 226479
473375, birthPlace, 187247
473375, recordLabel, 226479
5792, genre, 25286
5792, musicalArtist, 74761
5792, musicalBand, 74761
5792, producer, 74761
5792, recordLabel, 226479
5792, writer, 74761
92584, genre, 25286
92584, recordLabel, 226479
83051, genre, 25286
83051, musicalArtist, 74761
83051, musicalBand, 74761
83051, producer, 74761
83051, recordLabel, 226479
83051, writer, 74761
252227, genre, 25286
252227, recordLabel, 226479
25286, instrument, 361463
25286, instrument, 210166
25286, instrument, 118676
25286, stylisticOrigin, 108897
25286, stylisticOrigin, 389498
147325, genre, 25286
147325, genre, 401383
91155, birthPlace, 187247
256702, hometown, 187247
256702, recordLabel, 226479
306817, genre, 25286
306817, recordLabel, 226479
239454, genre, 25286
239454, recordLabel, 226479
120418, genre, 25286
120418, recordLabel, 226479
135791, album, 333121
135791, genre, 25286
135791, musicalArtist, 74761
135791, musicalBand, 74761
135791, previousWork, 103524
135791, producer, 74761
135791, recordLabel, 226479
135791, writer, 74761
268447, genre, 25286
268447, hometown, 187247
335526, genre, 25286
335526, recordLabel, 226479
375547, genre, 25286
375547, recordLabel, 226479
74761, genre, 25286
74761, recordLabel, 226479
308191, artist, 74761
308191, genre, 25286
308191, genre, 401383
308191, producer, 74761
308191, recordLabel, 226479
308191, subsequentWork, 333121
456792, album, 308191
456792, genre, 25286
456792, musicalArtist, 74761
456792, musicalBand, 74761
456792, producer, 74761
456792, recordLabel, 226479
456792, writer, 74761
410428, genre, 25286
410428, musicalArtist, 74761
410428, musicalBand, 74761
410428, producer, 74761
410428, recordLabel, 226479
410428, writer, 74761
286335, genre, 25286
286335, recordLabel, 226479
333121, artist, 74761
333121, genre, 25286
333121, genre, 401383
333121, previousWork, 308191
333121, producer, 74761
333121, recordLabel, 226479
333121, subsequentWork, 421683
143308, genre, 25286
143308, recordLabel, 226479
117719, album, 308191
117719, genre, 25286
117719, musicalArtist, 74761
117719, musicalBand, 74761
117719, producer, 74761
117719, recordLabel, 226479
117719, writer, 74761
44026, genre, 25286
44026, recordLabel, 226479
104071, genre, 25286
104071, recordLabel, 226479
71070, genre, 25286
71070, genre, 401383
71047, genre, 25286
71047, genre, 401383
382677, genre, 25286
382677, recordLabel, 226479
389498, musicFusionGenre, 401383
401383, derivative, 108897
401383, instrument, 361463
401383, instrument, 210166
401383, instrument, 118676
401383, musicFusionGenre, 25286
401383, stylisticOrigin, 108897
401383, stylisticOrigin, 389498
364130, genre, 25286
364130, recordLabel, 226479
289841, genre, 25286
289841, genre, 401383
379699, genre, 25286
379699, musicalArtist, 74761
379699, musicalBand, 74761
379699, producer, 74761
379699, recordLabel, 226479
379699, writer, 74761
285713, hometown, 187247
285713, recordLabel, 226479
14873, genre, 25286
14873, recordLabel, 226479
239192, hometown, 187247
239192, recordLabel, 226479
231449, genre, 25286
231449, recordLabel, 226479
Question: How are George_D._Keathley and Mama_Said_(album) related?
Your output must be ONLY the PATH block.
| graph_path | {
"style": "rule"
} | {
"entities": [
"George_D._Keathley",
"Mama_Said_(album)"
],
"valid_edges": [
[
"5_(Lenny_Kravitz_album)",
"artist",
"Lenny_Kravitz"
],
[
"5_(Lenny_Kravitz_album)",
"genre",
"Funk_rock"
],
[
"5_(Lenny_Kravitz_album)",
"genre",
"Psychedelic_soul"
],
[
"5_(Lenny_Kravitz_album)",
"producer",
"Lenny_Kravitz"
],
[
"5_(Lenny_Kravitz_album)",
"recordLabel",
"Virgin_Records"
],
[
"5th_Ward_Boyz",
"hometown",
"Texas"
],
[
"5th_Ward_Boyz",
"recordLabel",
"Virgin_Records"
],
[
"Always_on_the_Run",
"album",
"Mama_Said_(album)"
],
[
"Always_on_the_Run",
"genre",
"Funk_rock"
],
[
"Always_on_the_Run",
"musicalArtist",
"Lenny_Kravitz"
],
[
"Always_on_the_Run",
"musicalBand",
"Lenny_Kravitz"
],
[
"Always_on_the_Run",
"previousWork",
"Let_Love_Rule"
],
[
"Always_on_the_Run",
"producer",
"Lenny_Kravitz"
],
[
"Always_on_the_Run",
"recordLabel",
"Virgin_Records"
],
[
"Always_on_the_Run",
"subsequentWork",
"It_Ain't_Over_'til_It's_Over"
],
[
"Always_on_the_Run",
"writer",
"Lenny_Kravitz"
],
[
"American_Woman",
"genre",
"Funk_rock"
],
[
"American_Woman",
"musicalArtist",
"Lenny_Kravitz"
],
[
"American_Woman",
"musicalBand",
"Lenny_Kravitz"
],
[
"American_Woman",
"producer",
"Lenny_Kravitz"
],
[
"American_Woman",
"recordLabel",
"Virgin_Records"
],
[
"Are_You_Gonna_Go_My_Way",
"artist",
"Lenny_Kravitz"
],
[
"Are_You_Gonna_Go_My_Way",
"genre",
"Funk_rock"
],
[
"Are_You_Gonna_Go_My_Way",
"genre",
"Psychedelic_soul"
],
[
"Are_You_Gonna_Go_My_Way",
"previousWork",
"Mama_Said_(album)"
],
[
"Are_You_Gonna_Go_My_Way",
"producer",
"Lenny_Kravitz"
],
[
"Are_You_Gonna_Go_My_Way",
"recordLabel",
"Virgin_Records"
],
[
"Are_You_Gonna_Go_My_Way",
"subsequentWork",
"Circus_(Lenny_Kravitz_album)"
],
[
"Are_You_Gonna_Go_My_Way_(song)",
"album",
"Are_You_Gonna_Go_My_Way"
],
[
"Are_You_Gonna_Go_My_Way_(song)",
"genre",
"Funk_rock"
],
[
"Are_You_Gonna_Go_My_Way_(song)",
"musicalArtist",
"Lenny_Kravitz"
],
[
"Are_You_Gonna_Go_My_Way_(song)",
"musicalBand",
"Lenny_Kravitz"
],
[
"Are_You_Gonna_Go_My_Way_(song)",
"producer",
"Lenny_Kravitz"
],
[
"Are_You_Gonna_Go_My_Way_(song)",
"recordLabel",
"Virgin_Records"
],
[
"Are_You_Gonna_Go_My_Way_(song)",
"writer",
"Lenny_Kravitz"
],
[
"Baptism_(Lenny_Kravitz_album)",
"artist",
"Lenny_Kravitz"
],
[
"Baptism_(Lenny_Kravitz_album)",
"genre",
"Funk_rock"
],
[
"Baptism_(Lenny_Kravitz_album)",
"producer",
"Lenny_Kravitz"
],
[
"Baptism_(Lenny_Kravitz_album)",
"recordLabel",
"Virgin_Records"
],
[
"Ben_Harper",
"genre",
"Funk_rock"
],
[
"Ben_Harper",
"recordLabel",
"Virgin_Records"
],
[
"Big_Boys",
"genre",
"Funk_rock"
],
[
"Big_Boys",
"hometown",
"Texas"
],
[
"Big_Time_(Peter_Gabriel_song)",
"genre",
"Funk_rock"
],
[
"Big_Time_(Peter_Gabriel_song)",
"recordLabel",
"Virgin_Records"
],
[
"Both_Sides_of_the_Gun",
"genre",
"Funk_rock"
],
[
"Both_Sides_of_the_Gun",
"recordLabel",
"Virgin_Records"
],
[
"Carleen_Anderson",
"birthPlace",
"Texas"
],
[
"Carleen_Anderson",
"recordLabel",
"Virgin_Records"
],
[
"Cassell_Webb",
"birthPlace",
"Texas"
],
[
"Cassell_Webb",
"recordLabel",
"Virgin_Records"
],
[
"Charlie_Brown_Jr.",
"genre",
"Funk_rock"
],
[
"Charlie_Brown_Jr.",
"recordLabel",
"Virgin_Records"
],
[
"Circus_(Lenny_Kravitz_album)",
"artist",
"Lenny_Kravitz"
],
[
"Circus_(Lenny_Kravitz_album)",
"genre",
"Funk_rock"
],
[
"Circus_(Lenny_Kravitz_album)",
"previousWork",
"Are_You_Gonna_Go_My_Way"
],
[
"Circus_(Lenny_Kravitz_album)",
"producer",
"Lenny_Kravitz"
],
[
"Circus_(Lenny_Kravitz_album)",
"recordLabel",
"Virgin_Records"
],
[
"DJ_Premier",
"birthPlace",
"Texas"
],
[
"DJ_Premier",
"recordLabel",
"Virgin_Records"
],
[
"Dancin'_Til_Dawn",
"genre",
"Funk_rock"
],
[
"Dancin'_Til_Dawn",
"musicalArtist",
"Lenny_Kravitz"
],
[
"Dancin'_Til_Dawn",
"musicalBand",
"Lenny_Kravitz"
],
[
"Dancin'_Til_Dawn",
"producer",
"Lenny_Kravitz"
],
[
"Dancin'_Til_Dawn",
"recordLabel",
"Virgin_Records"
],
[
"Dancin'_Til_Dawn",
"writer",
"Lenny_Kravitz"
],
[
"Diamonds_On_the_Inside",
"genre",
"Funk_rock"
],
[
"Diamonds_On_the_Inside",
"recordLabel",
"Virgin_Records"
],
[
"Fly_Away_(Lenny_Kravitz_song)",
"genre",
"Funk_rock"
],
[
"Fly_Away_(Lenny_Kravitz_song)",
"musicalArtist",
"Lenny_Kravitz"
],
[
"Fly_Away_(Lenny_Kravitz_song)",
"musicalBand",
"Lenny_Kravitz"
],
[
"Fly_Away_(Lenny_Kravitz_song)",
"producer",
"Lenny_Kravitz"
],
[
"Fly_Away_(Lenny_Kravitz_song)",
"recordLabel",
"Virgin_Records"
],
[
"Fly_Away_(Lenny_Kravitz_song)",
"writer",
"Lenny_Kravitz"
],
[
"Fly_or_Die",
"genre",
"Funk_rock"
],
[
"Fly_or_Die",
"recordLabel",
"Virgin_Records"
],
[
"Funk_rock",
"instrument",
"Bass_guitar"
],
[
"Funk_rock",
"instrument",
"Drum_kit"
],
[
"Funk_rock",
"instrument",
"Electric_guitar"
],
[
"Funk_rock",
"stylisticOrigin",
"Funk"
],
[
"Funk_rock",
"stylisticOrigin",
"Psychedelic_rock"
],
[
"Funkadelic",
"genre",
"Funk_rock"
],
[
"Funkadelic",
"genre",
"Psychedelic_soul"
],
[
"George_D._Keathley",
"birthPlace",
"Texas"
],
[
"Geto_Boys",
"hometown",
"Texas"
],
[
"Geto_Boys",
"recordLabel",
"Virgin_Records"
],
[
"Golden_Years_(song)",
"genre",
"Funk_rock"
],
[
"Golden_Years_(song)",
"recordLabel",
"Virgin_Records"
],
[
"Hot_Stuff_(The_Rolling_Stones_song)",
"genre",
"Funk_rock"
],
[
"Hot_Stuff_(The_Rolling_Stones_song)",
"recordLabel",
"Virgin_Records"
],
[
"In_Search_of..._(N.E.R.D_album)",
"genre",
"Funk_rock"
],
[
"In_Search_of..._(N.E.R.D_album)",
"recordLabel",
"Virgin_Records"
],
[
"It_Ain't_Over_'til_It's_Over",
"album",
"Mama_Said_(album)"
],
[
"It_Ain't_Over_'til_It's_Over",
"genre",
"Funk_rock"
],
[
"It_Ain't_Over_'til_It's_Over",
"musicalArtist",
"Lenny_Kravitz"
],
[
"It_Ain't_Over_'til_It's_Over",
"musicalBand",
"Lenny_Kravitz"
],
[
"It_Ain't_Over_'til_It's_Over",
"previousWork",
"Always_on_the_Run"
],
[
"It_Ain't_Over_'til_It's_Over",
"producer",
"Lenny_Kravitz"
],
[
"It_Ain't_Over_'til_It's_Over",
"recordLabel",
"Virgin_Records"
],
[
"It_Ain't_Over_'til_It's_Over",
"writer",
"Lenny_Kravitz"
],
[
"Jumping_Monks",
"genre",
"Funk_rock"
],
[
"Jumping_Monks",
"hometown",
"Texas"
],
[
"Just_a_Job_to_Do",
"genre",
"Funk_rock"
],
[
"Just_a_Job_to_Do",
"recordLabel",
"Virgin_Records"
],
[
"Lapdance_(song)",
"genre",
"Funk_rock"
],
[
"Lapdance_(song)",
"recordLabel",
"Virgin_Records"
],
[
"Lenny_Kravitz",
"genre",
"Funk_rock"
],
[
"Lenny_Kravitz",
"recordLabel",
"Virgin_Records"
],
[
"Let_Love_Rule",
"artist",
"Lenny_Kravitz"
],
[
"Let_Love_Rule",
"genre",
"Funk_rock"
],
[
"Let_Love_Rule",
"genre",
"Psychedelic_soul"
],
[
"Let_Love_Rule",
"producer",
"Lenny_Kravitz"
],
[
"Let_Love_Rule",
"recordLabel",
"Virgin_Records"
],
[
"Let_Love_Rule",
"subsequentWork",
"Mama_Said_(album)"
],
[
"Let_Love_Rule_(song)",
"album",
"Let_Love_Rule"
],
[
"Let_Love_Rule_(song)",
"genre",
"Funk_rock"
],
[
"Let_Love_Rule_(song)",
"musicalArtist",
"Lenny_Kravitz"
],
[
"Let_Love_Rule_(song)",
"musicalBand",
"Lenny_Kravitz"
],
[
"Let_Love_Rule_(song)",
"producer",
"Lenny_Kravitz"
],
[
"Let_Love_Rule_(song)",
"recordLabel",
"Virgin_Records"
],
[
"Let_Love_Rule_(song)",
"writer",
"Lenny_Kravitz"
],
[
"Love_Love_Love_(Lenny_Kravitz_song)",
"genre",
"Funk_rock"
],
[
"Love_Love_Love_(Lenny_Kravitz_song)",
"musicalArtist",
"Lenny_Kravitz"
],
[
"Love_Love_Love_(Lenny_Kravitz_song)",
"musicalBand",
"Lenny_Kravitz"
],
[
"Love_Love_Love_(Lenny_Kravitz_song)",
"producer",
"Lenny_Kravitz"
],
[
"Love_Love_Love_(Lenny_Kravitz_song)",
"recordLabel",
"Virgin_Records"
],
[
"Love_Love_Love_(Lenny_Kravitz_song)",
"writer",
"Lenny_Kravitz"
],
[
"Main_Offender",
"genre",
"Funk_rock"
],
[
"Main_Offender",
"recordLabel",
"Virgin_Records"
],
[
"Mama_Said_(album)",
"artist",
"Lenny_Kravitz"
],
[
"Mama_Said_(album)",
"genre",
"Funk_rock"
],
[
"Mama_Said_(album)",
"genre",
"Psychedelic_soul"
],
[
"Mama_Said_(album)",
"previousWork",
"Let_Love_Rule"
],
[
"Mama_Said_(album)",
"producer",
"Lenny_Kravitz"
],
[
"Mama_Said_(album)",
"recordLabel",
"Virgin_Records"
],
[
"Mama_Said_(album)",
"subsequentWork",
"Are_You_Gonna_Go_My_Way"
],
[
"Monsters_and_Robots",
"genre",
"Funk_rock"
],
[
"Monsters_and_Robots",
"recordLabel",
"Virgin_Records"
],
[
"Mr._Cab_Driver",
"album",
"Let_Love_Rule"
],
[
"Mr._Cab_Driver",
"genre",
"Funk_rock"
],
[
"Mr._Cab_Driver",
"musicalArtist",
"Lenny_Kravitz"
],
[
"Mr._Cab_Driver",
"musicalBand",
"Lenny_Kravitz"
],
[
"Mr._Cab_Driver",
"producer",
"Lenny_Kravitz"
],
[
"Mr._Cab_Driver",
"recordLabel",
"Virgin_Records"
],
[
"Mr._Cab_Driver",
"writer",
"Lenny_Kravitz"
],
[
"N.E.R.D",
"genre",
"Funk_rock"
],
[
"N.E.R.D",
"recordLabel",
"Virgin_Records"
],
[
"Naïve_(song)",
"genre",
"Funk_rock"
],
[
"Naïve_(song)",
"recordLabel",
"Virgin_Records"
],
[
"Parliament-Funkadelic",
"genre",
"Funk_rock"
],
[
"Parliament-Funkadelic",
"genre",
"Psychedelic_soul"
],
[
"Parliament_(band)",
"genre",
"Funk_rock"
],
[
"Parliament_(band)",
"genre",
"Psychedelic_soul"
],
[
"Provision_(album)",
"genre",
"Funk_rock"
],
[
"Provision_(album)",
"recordLabel",
"Virgin_Records"
],
[
"Psychedelic_rock",
"musicFusionGenre",
"Psychedelic_soul"
],
[
"Psychedelic_soul",
"derivative",
"Funk"
],
[
"Psychedelic_soul",
"instrument",
"Bass_guitar"
],
[
"Psychedelic_soul",
"instrument",
"Drum_kit"
],
[
"Psychedelic_soul",
"instrument",
"Electric_guitar"
],
[
"Psychedelic_soul",
"musicFusionGenre",
"Funk_rock"
],
[
"Psychedelic_soul",
"stylisticOrigin",
"Funk"
],
[
"Psychedelic_soul",
"stylisticOrigin",
"Psychedelic_rock"
],
[
"Rock_Star_(N.E.R.D_song)",
"genre",
"Funk_rock"
],
[
"Rock_Star_(N.E.R.D_song)",
"recordLabel",
"Virgin_Records"
],
[
"Sing_a_Simple_Song",
"genre",
"Funk_rock"
],
[
"Sing_a_Simple_Song",
"genre",
"Psychedelic_soul"
],
[
"Stillness_of_Heart",
"genre",
"Funk_rock"
],
[
"Stillness_of_Heart",
"musicalArtist",
"Lenny_Kravitz"
],
[
"Stillness_of_Heart",
"musicalBand",
"Lenny_Kravitz"
],
[
"Stillness_of_Heart",
"producer",
"Lenny_Kravitz"
],
[
"Stillness_of_Heart",
"recordLabel",
"Virgin_Records"
],
[
"Stillness_of_Heart",
"writer",
"Lenny_Kravitz"
],
[
"Sydney_Youngblood",
"hometown",
"Texas"
],
[
"Sydney_Youngblood",
"recordLabel",
"Virgin_Records"
],
[
"Talk_Is_Cheap",
"genre",
"Funk_rock"
],
[
"Talk_Is_Cheap",
"recordLabel",
"Virgin_Records"
],
[
"Tiffany_Villarreal",
"hometown",
"Texas"
],
[
"Tiffany_Villarreal",
"recordLabel",
"Virgin_Records"
],
[
"Wood_Beez_(Pray_Like_Aretha_Franklin)",
"genre",
"Funk_rock"
],
[
"Wood_Beez_(Pray_Like_Aretha_Franklin)",
"recordLabel",
"Virgin_Records"
]
],
"ground_truth": [],
"gt_cost": null
} |
dbpedia500 |
You are given a directed graph as two CSV-like sections in this order:
1) Node table (header included):
node_id, node_attr
2) Edge table (header included):
src, edge_attr, dst
Task
- Use ONLY edges from the Edge table to answer the question by outputting a path.
- When printing each edge, replace IDs with the exact node_attr from the Node table.
- Output MUST be text triples, not numeric IDs.
Output format (STRICT — no extra text):
PATH:
("subject"|predicate|"object")
...
END
Rules
- Use only listed edges; do NOT invent edges.
- Map IDs → node_attr; preserve node_attr exactly.
- Output NOTHING outside the PATH block.
- If no path exists, output exactly:
PATH:
END
Graph:
node_id, node_attr
449535, Agonit_Sallaj
146794, Al_Khartoum_SC
160906, Albania
277799, Albania_national_football_team
203150, Albania_national_under-17_football_team
360846, Albania_national_under-18_football_team
451751, Albania_national_under-19_football_team
346450, Albania_national_under-20_football_team
150077, Albania_national_under-21_football_team
305202, Albania_national_youth_football_team
125250, Albi_Llenga
111575, Amarildo_Belisha
117541, Amir_Rrahmani
489851, Andi_Lila
387282, Antonio_Marku
157120, Arjan_Sheta
15051, Armend_Dallku
228113, Arsen_Sykaj
208611, Besa_Kavajë
210939, Besëlidhja_Lezhë
242029, Bruno_Kepi
173999, Defender_(association_football)
437634, Ditmar_Bicaj
284508, Dritan_Smajlaj
62589, Dritan_Smajli
333677, Durrës
112274, Elvis_Prençi
380028, Entonio_Pashaj
484826, Erbim_Fagu
276713, Erjon_Dushku
213636, Ervin_Bulku
465640, FK_Dinamo_Tirana
156572, FK_Egnatia
481433, FK_Kukësi
275326, FK_Partizani_Tirana
18037, FK_Tomori_Berat
18260, Flamurtari_Vlorë
144939, Franc_Veliu
282645, Gentian_Muça
479159, Gledi_Mici
330227, Harallamb_Qaqi
443095, Iraklis_1908_Thessaloniki_F.C.
142625, James_Kwesi_Appiah
359181, Johan_Driza
200426, KF_Apolonia_Fier
7604, KF_Bylis_Ballsh
52901, KF_Elbasani
52841, KF_Erzeni
318461, KF_Laçi
150654, KF_Lushnja
361433, KF_Skënderbeu_Korçë
219534, KF_Teuta_Durrës
378625, KF_Tirana
172334, KF_Tërbuni_Pukë
39924, KF_Vllaznia_Shkodër
291799, KS_Kastrioti
183123, Klodian_Semina
194702, Korçë
167368, Kristi_Marku
416411, Kristi_Qose
482185, Lezhë
157643, List_of_Albanian_football_transfers_summer_2008
474767, List_of_Albanian_football_transfers_summer_2010
533, List_of_Albanian_football_transfers_summer_2011
36857, List_of_Albanian_football_transfers_summer_2013
81894, List_of_Albanian_football_transfers_summer_2015
338747, List_of_Albanian_football_transfers_winter_2015–16
267096, List_of_Iranian_football_transfers_summer_2014
226179, Luan_Zmijani
139694, PFC_Belasitsa_Petrich
123266, Polizoi_Arbëri
227443, Pristina
282683, Renato_Arapi
35674, Renato_Malota
227061, Rezart_Dabulla
453356, Roland_Peqini
435573, Saimir_Malko
246881, Serbia_and_Montenegro
281410, Shaqir_Stafa
104638, Shkodër
359290, Shkumbini_Peqin
40980, Skënder_Gega
204994, Sulejman_Starova
4356, Tefik_Osmani
93704, Tirana
296501, Valentin_Gjokaj
112630, Vlorë
src, edge_attr, dst
449535, birthPlace, 246881
449535, position, 173999
449535, team, 277799
449535, team, 150077
146794, manager, 142625
346450, coach, 40980
305202, coach, 40980
125250, birthPlace, 160906
125250, birthPlace, 93704
125250, position, 173999
125250, team, 150077
125250, team, 200426
125250, team, 7604
125250, team, 39924
111575, birthPlace, 160906
111575, birthPlace, 104638
111575, position, 173999
111575, team, 150077
111575, team, 208611
111575, team, 18260
111575, team, 52901
111575, team, 39924
117541, birthPlace, 227443
117541, birthPlace, 246881
117541, position, 173999
117541, team, 277799
117541, team, 150077
117541, team, 275326
489851, birthPlace, 160906
489851, position, 173999
489851, team, 203150
489851, team, 451751
489851, team, 150077
489851, team, 208611
489851, team, 443095
489851, team, 378625
387282, birthPlace, 160906
387282, birthPlace, 104638
387282, position, 173999
387282, team, 451751
387282, team, 150077
387282, team, 465640
387282, team, 481433
387282, team, 318461
387282, team, 39924
157120, birthPlace, 160906
157120, birthPlace, 93704
157120, position, 173999
157120, team, 277799
157120, team, 360846
157120, team, 150077
157120, team, 208611
157120, team, 275326
157120, team, 52901
157120, team, 318461
157120, team, 219534
157120, team, 378625
157120, team, 291799
15051, birthPlace, 227443
15051, position, 173999
15051, team, 277799
15051, team, 150077
15051, team, 52901
228113, birthPlace, 160906
228113, birthPlace, 104638
228113, position, 173999
228113, team, 451751
228113, team, 346450
228113, team, 150077
228113, team, 210939
228113, team, 39924
228113, team, 291799
242029, birthPlace, 160906
242029, birthPlace, 104638
242029, position, 173999
242029, team, 203150
242029, team, 150077
242029, team, 305202
242029, team, 210939
242029, team, 7604
242029, team, 361433
242029, team, 172334
242029, team, 39924
437634, birthPlace, 160906
437634, birthPlace, 93704
437634, position, 173999
437634, team, 346450
437634, team, 150077
437634, team, 305202
437634, team, 465640
437634, team, 481433
437634, team, 275326
437634, team, 18260
437634, team, 361433
437634, team, 378625
437634, team, 139694
284508, birthPlace, 160906
284508, birthPlace, 482185
284508, position, 173999
284508, team, 203150
284508, team, 150077
284508, team, 210939
284508, team, 481433
284508, team, 378625
284508, team, 39924
284508, team, 291799
62589, birthPlace, 160906
62589, position, 173999
62589, team, 203150
62589, team, 150077
62589, team, 210939
62589, team, 481433
62589, team, 378625
62589, team, 39924
62589, team, 291799
112274, birthPlace, 160906
112274, position, 173999
112274, team, 451751
112274, team, 150077
112274, team, 481433
112274, team, 275326
112274, team, 219534
112274, team, 378625
380028, birthPlace, 160906
380028, birthPlace, 93704
380028, position, 173999
380028, team, 150077
380028, team, 210939
380028, team, 156572
380028, team, 275326
380028, team, 18260
380028, team, 219534
380028, team, 378625
380028, team, 291799
484826, birthPlace, 160906
484826, birthPlace, 93704
484826, position, 173999
484826, team, 150077
484826, team, 208611
484826, team, 52901
484826, team, 361433
484826, team, 219534
484826, team, 378625
276713, birthPlace, 160906
276713, birthPlace, 482185
276713, position, 173999
276713, team, 203150
276713, team, 451751
276713, team, 150077
276713, team, 481433
276713, team, 18260
276713, team, 219534
276713, team, 378625
276713, team, 291799
213636, birthPlace, 160906
213636, birthPlace, 93704
213636, position, 173999
213636, team, 277799
213636, team, 360846
213636, team, 150077
213636, team, 378625
144939, birthPlace, 160906
144939, birthPlace, 112630
144939, position, 173999
144939, team, 277799
144939, team, 150077
144939, team, 481433
144939, team, 275326
144939, team, 18260
282645, birthPlace, 160906
282645, birthPlace, 93704
282645, position, 173999
282645, team, 277799
282645, team, 451751
282645, team, 150077
282645, team, 465640
282645, team, 18260
282645, team, 7604
282645, team, 378625
282645, team, 39924
479159, birthPlace, 160906
479159, birthPlace, 93704
479159, position, 173999
479159, team, 203150
479159, team, 150077
479159, team, 481433
479159, team, 18260
479159, team, 200426
479159, team, 378625
330227, birthPlace, 160906
330227, birthPlace, 93704
330227, position, 173999
330227, team, 360846
330227, team, 451751
330227, team, 150077
330227, team, 275326
142625, managerClub, 146794
142625, position, 173999
142625, team, 146794
359181, birthPlace, 160906
359181, birthPlace, 112630
359181, position, 173999
359181, team, 277799
359181, team, 150077
359181, team, 465640
359181, team, 18260
359181, team, 7604
359181, team, 219534
359181, team, 378625
183123, birthPlace, 160906
183123, birthPlace, 104638
183123, position, 173999
183123, team, 451751
183123, team, 150077
183123, team, 210939
183123, team, 39924
183123, team, 139694
167368, birthPlace, 160906
167368, birthPlace, 333677
167368, position, 173999
167368, team, 203150
167368, team, 451751
167368, team, 150077
167368, team, 18260
167368, team, 219534
416411, birthPlace, 160906
416411, birthPlace, 194702
416411, position, 173999
416411, team, 277799
416411, team, 451751
416411, team, 150077
416411, team, 443095
157643, currentMember, 111575
157643, currentMember, 489851
157643, currentMember, 437634
157643, currentMember, 484826
474767, currentMember, 484826
474767, currentMember, 183123
474767, currentMember, 282683
533, currentMember, 484826
533, currentMember, 183123
36857, currentMember, 387282
36857, currentMember, 157120
36857, currentMember, 228113
36857, currentMember, 112274
36857, currentMember, 276713
36857, currentMember, 453356
36857, currentMember, 281410
81894, currentMember, 117541
81894, currentMember, 228113
81894, currentMember, 242029
81894, currentMember, 437634
81894, currentMember, 284508
81894, currentMember, 62589
81894, currentMember, 380028
81894, currentMember, 276713
81894, currentMember, 144939
81894, currentMember, 282645
81894, currentMember, 330227
81894, currentMember, 123266
81894, currentMember, 453356
81894, currentMember, 281410
338747, currentMember, 144939
338747, currentMember, 167368
267096, currentMember, 437634
267096, currentMember, 213636
226179, birthPlace, 160906
226179, birthPlace, 104638
226179, managerClub, 39924
226179, position, 173999
226179, team, 277799
226179, team, 150077
226179, team, 210939
226179, team, 156572
226179, team, 275326
226179, team, 39924
123266, birthPlace, 160906
123266, position, 173999
123266, team, 451751
123266, team, 150077
123266, team, 305202
123266, team, 18037
123266, team, 18260
123266, team, 7604
123266, team, 150654
123266, team, 39924
282683, birthPlace, 160906
282683, birthPlace, 333677
282683, position, 173999
282683, team, 451751
282683, team, 150077
282683, team, 305202
282683, team, 208611
282683, team, 465640
282683, team, 52841
282683, team, 361433
282683, team, 359290
35674, birthPlace, 160906
35674, birthPlace, 482185
35674, position, 173999
35674, team, 451751
35674, team, 346450
35674, team, 150077
35674, team, 210939
35674, team, 465640
35674, team, 481433
35674, team, 275326
227061, birthPlace, 160906
227061, birthPlace, 93704
227061, position, 173999
227061, team, 277799
227061, team, 451751
227061, team, 150077
227061, team, 150654
227061, team, 378625
227061, team, 39924
227061, team, 359290
453356, birthPlace, 160906
453356, position, 173999
453356, team, 150077
453356, team, 465640
453356, team, 481433
453356, team, 200426
453356, team, 378625
453356, team, 172334
435573, birthPlace, 160906
435573, managerClub, 150654
435573, position, 173999
435573, team, 277799
435573, team, 150077
435573, team, 465640
435573, team, 275326
435573, team, 18260
435573, team, 150654
435573, team, 378625
281410, birthPlace, 160906
281410, birthPlace, 333677
281410, position, 173999
281410, team, 150077
281410, team, 208611
281410, team, 18037
281410, team, 52841
281410, team, 219534
40980, birthPlace, 160906
40980, managerClub, 451751
40980, managerClub, 150077
40980, position, 173999
40980, team, 277799
40980, team, 150077
40980, team, 275326
204994, birthPlace, 160906
204994, birthPlace, 93704
204994, managerClub, 208611
204994, managerClub, 481433
204994, managerClub, 275326
204994, managerClub, 219534
204994, managerClub, 378625
204994, position, 173999
204994, team, 277799
204994, team, 150077
204994, team, 275326
204994, team, 378625
4356, birthPlace, 160906
4356, birthPlace, 194702
4356, position, 173999
4356, team, 277799
4356, team, 451751
4356, team, 150077
4356, team, 275326
4356, team, 18037
4356, team, 52901
4356, team, 361433
4356, team, 219534
4356, team, 378625
4356, team, 39924
296501, position, 173999
296501, team, 150077
Question: How are Al_Khartoum_SC and Albania_national_under-21_football_team related?
Your output must be ONLY the PATH block.
| graph_path | {
"style": "rule"
} | {
"entities": [
"Al_Khartoum_SC",
"Albania_national_under-21_football_team"
],
"valid_edges": [
[
"Agonit_Sallaj",
"birthPlace",
"Serbia_and_Montenegro"
],
[
"Agonit_Sallaj",
"position",
"Defender_(association_football)"
],
[
"Agonit_Sallaj",
"team",
"Albania_national_football_team"
],
[
"Agonit_Sallaj",
"team",
"Albania_national_under-21_football_team"
],
[
"Al_Khartoum_SC",
"manager",
"James_Kwesi_Appiah"
],
[
"Albania_national_under-20_football_team",
"coach",
"Skënder_Gega"
],
[
"Albania_national_youth_football_team",
"coach",
"Skënder_Gega"
],
[
"Albi_Llenga",
"birthPlace",
"Albania"
],
[
"Albi_Llenga",
"birthPlace",
"Tirana"
],
[
"Albi_Llenga",
"position",
"Defender_(association_football)"
],
[
"Albi_Llenga",
"team",
"Albania_national_under-21_football_team"
],
[
"Albi_Llenga",
"team",
"KF_Apolonia_Fier"
],
[
"Albi_Llenga",
"team",
"KF_Bylis_Ballsh"
],
[
"Albi_Llenga",
"team",
"KF_Vllaznia_Shkodër"
],
[
"Amarildo_Belisha",
"birthPlace",
"Albania"
],
[
"Amarildo_Belisha",
"birthPlace",
"Shkodër"
],
[
"Amarildo_Belisha",
"position",
"Defender_(association_football)"
],
[
"Amarildo_Belisha",
"team",
"Albania_national_under-21_football_team"
],
[
"Amarildo_Belisha",
"team",
"Besa_Kavajë"
],
[
"Amarildo_Belisha",
"team",
"Flamurtari_Vlorë"
],
[
"Amarildo_Belisha",
"team",
"KF_Elbasani"
],
[
"Amarildo_Belisha",
"team",
"KF_Vllaznia_Shkodër"
],
[
"Amir_Rrahmani",
"birthPlace",
"Pristina"
],
[
"Amir_Rrahmani",
"birthPlace",
"Serbia_and_Montenegro"
],
[
"Amir_Rrahmani",
"position",
"Defender_(association_football)"
],
[
"Amir_Rrahmani",
"team",
"Albania_national_football_team"
],
[
"Amir_Rrahmani",
"team",
"Albania_national_under-21_football_team"
],
[
"Amir_Rrahmani",
"team",
"FK_Partizani_Tirana"
],
[
"Andi_Lila",
"birthPlace",
"Albania"
],
[
"Andi_Lila",
"position",
"Defender_(association_football)"
],
[
"Andi_Lila",
"team",
"Albania_national_under-17_football_team"
],
[
"Andi_Lila",
"team",
"Albania_national_under-19_football_team"
],
[
"Andi_Lila",
"team",
"Albania_national_under-21_football_team"
],
[
"Andi_Lila",
"team",
"Besa_Kavajë"
],
[
"Andi_Lila",
"team",
"Iraklis_1908_Thessaloniki_F.C."
],
[
"Andi_Lila",
"team",
"KF_Tirana"
],
[
"Antonio_Marku",
"birthPlace",
"Albania"
],
[
"Antonio_Marku",
"birthPlace",
"Shkodër"
],
[
"Antonio_Marku",
"position",
"Defender_(association_football)"
],
[
"Antonio_Marku",
"team",
"Albania_national_under-19_football_team"
],
[
"Antonio_Marku",
"team",
"Albania_national_under-21_football_team"
],
[
"Antonio_Marku",
"team",
"FK_Dinamo_Tirana"
],
[
"Antonio_Marku",
"team",
"FK_Kukësi"
],
[
"Antonio_Marku",
"team",
"KF_Laçi"
],
[
"Antonio_Marku",
"team",
"KF_Vllaznia_Shkodër"
],
[
"Arjan_Sheta",
"birthPlace",
"Albania"
],
[
"Arjan_Sheta",
"birthPlace",
"Tirana"
],
[
"Arjan_Sheta",
"position",
"Defender_(association_football)"
],
[
"Arjan_Sheta",
"team",
"Albania_national_football_team"
],
[
"Arjan_Sheta",
"team",
"Albania_national_under-18_football_team"
],
[
"Arjan_Sheta",
"team",
"Albania_national_under-21_football_team"
],
[
"Arjan_Sheta",
"team",
"Besa_Kavajë"
],
[
"Arjan_Sheta",
"team",
"FK_Partizani_Tirana"
],
[
"Arjan_Sheta",
"team",
"KF_Elbasani"
],
[
"Arjan_Sheta",
"team",
"KF_Laçi"
],
[
"Arjan_Sheta",
"team",
"KF_Teuta_Durrës"
],
[
"Arjan_Sheta",
"team",
"KF_Tirana"
],
[
"Arjan_Sheta",
"team",
"KS_Kastrioti"
],
[
"Armend_Dallku",
"birthPlace",
"Pristina"
],
[
"Armend_Dallku",
"position",
"Defender_(association_football)"
],
[
"Armend_Dallku",
"team",
"Albania_national_football_team"
],
[
"Armend_Dallku",
"team",
"Albania_national_under-21_football_team"
],
[
"Armend_Dallku",
"team",
"KF_Elbasani"
],
[
"Arsen_Sykaj",
"birthPlace",
"Albania"
],
[
"Arsen_Sykaj",
"birthPlace",
"Shkodër"
],
[
"Arsen_Sykaj",
"position",
"Defender_(association_football)"
],
[
"Arsen_Sykaj",
"team",
"Albania_national_under-19_football_team"
],
[
"Arsen_Sykaj",
"team",
"Albania_national_under-20_football_team"
],
[
"Arsen_Sykaj",
"team",
"Albania_national_under-21_football_team"
],
[
"Arsen_Sykaj",
"team",
"Besëlidhja_Lezhë"
],
[
"Arsen_Sykaj",
"team",
"KF_Vllaznia_Shkodër"
],
[
"Arsen_Sykaj",
"team",
"KS_Kastrioti"
],
[
"Bruno_Kepi",
"birthPlace",
"Albania"
],
[
"Bruno_Kepi",
"birthPlace",
"Shkodër"
],
[
"Bruno_Kepi",
"position",
"Defender_(association_football)"
],
[
"Bruno_Kepi",
"team",
"Albania_national_under-17_football_team"
],
[
"Bruno_Kepi",
"team",
"Albania_national_under-21_football_team"
],
[
"Bruno_Kepi",
"team",
"Albania_national_youth_football_team"
],
[
"Bruno_Kepi",
"team",
"Besëlidhja_Lezhë"
],
[
"Bruno_Kepi",
"team",
"KF_Bylis_Ballsh"
],
[
"Bruno_Kepi",
"team",
"KF_Skënderbeu_Korçë"
],
[
"Bruno_Kepi",
"team",
"KF_Tërbuni_Pukë"
],
[
"Bruno_Kepi",
"team",
"KF_Vllaznia_Shkodër"
],
[
"Ditmar_Bicaj",
"birthPlace",
"Albania"
],
[
"Ditmar_Bicaj",
"birthPlace",
"Tirana"
],
[
"Ditmar_Bicaj",
"position",
"Defender_(association_football)"
],
[
"Ditmar_Bicaj",
"team",
"Albania_national_under-20_football_team"
],
[
"Ditmar_Bicaj",
"team",
"Albania_national_under-21_football_team"
],
[
"Ditmar_Bicaj",
"team",
"Albania_national_youth_football_team"
],
[
"Ditmar_Bicaj",
"team",
"FK_Dinamo_Tirana"
],
[
"Ditmar_Bicaj",
"team",
"FK_Kukësi"
],
[
"Ditmar_Bicaj",
"team",
"FK_Partizani_Tirana"
],
[
"Ditmar_Bicaj",
"team",
"Flamurtari_Vlorë"
],
[
"Ditmar_Bicaj",
"team",
"KF_Skënderbeu_Korçë"
],
[
"Ditmar_Bicaj",
"team",
"KF_Tirana"
],
[
"Ditmar_Bicaj",
"team",
"PFC_Belasitsa_Petrich"
],
[
"Dritan_Smajlaj",
"birthPlace",
"Albania"
],
[
"Dritan_Smajlaj",
"birthPlace",
"Lezhë"
],
[
"Dritan_Smajlaj",
"position",
"Defender_(association_football)"
],
[
"Dritan_Smajlaj",
"team",
"Albania_national_under-17_football_team"
],
[
"Dritan_Smajlaj",
"team",
"Albania_national_under-21_football_team"
],
[
"Dritan_Smajlaj",
"team",
"Besëlidhja_Lezhë"
],
[
"Dritan_Smajlaj",
"team",
"FK_Kukësi"
],
[
"Dritan_Smajlaj",
"team",
"KF_Tirana"
],
[
"Dritan_Smajlaj",
"team",
"KF_Vllaznia_Shkodër"
],
[
"Dritan_Smajlaj",
"team",
"KS_Kastrioti"
],
[
"Dritan_Smajli",
"birthPlace",
"Albania"
],
[
"Dritan_Smajli",
"position",
"Defender_(association_football)"
],
[
"Dritan_Smajli",
"team",
"Albania_national_under-17_football_team"
],
[
"Dritan_Smajli",
"team",
"Albania_national_under-21_football_team"
],
[
"Dritan_Smajli",
"team",
"Besëlidhja_Lezhë"
],
[
"Dritan_Smajli",
"team",
"FK_Kukësi"
],
[
"Dritan_Smajli",
"team",
"KF_Tirana"
],
[
"Dritan_Smajli",
"team",
"KF_Vllaznia_Shkodër"
],
[
"Dritan_Smajli",
"team",
"KS_Kastrioti"
],
[
"Elvis_Prençi",
"birthPlace",
"Albania"
],
[
"Elvis_Prençi",
"position",
"Defender_(association_football)"
],
[
"Elvis_Prençi",
"team",
"Albania_national_under-19_football_team"
],
[
"Elvis_Prençi",
"team",
"Albania_national_under-21_football_team"
],
[
"Elvis_Prençi",
"team",
"FK_Kukësi"
],
[
"Elvis_Prençi",
"team",
"FK_Partizani_Tirana"
],
[
"Elvis_Prençi",
"team",
"KF_Teuta_Durrës"
],
[
"Elvis_Prençi",
"team",
"KF_Tirana"
],
[
"Entonio_Pashaj",
"birthPlace",
"Albania"
],
[
"Entonio_Pashaj",
"birthPlace",
"Tirana"
],
[
"Entonio_Pashaj",
"position",
"Defender_(association_football)"
],
[
"Entonio_Pashaj",
"team",
"Albania_national_under-21_football_team"
],
[
"Entonio_Pashaj",
"team",
"Besëlidhja_Lezhë"
],
[
"Entonio_Pashaj",
"team",
"FK_Egnatia"
],
[
"Entonio_Pashaj",
"team",
"FK_Partizani_Tirana"
],
[
"Entonio_Pashaj",
"team",
"Flamurtari_Vlorë"
],
[
"Entonio_Pashaj",
"team",
"KF_Teuta_Durrës"
],
[
"Entonio_Pashaj",
"team",
"KF_Tirana"
],
[
"Entonio_Pashaj",
"team",
"KS_Kastrioti"
],
[
"Erbim_Fagu",
"birthPlace",
"Albania"
],
[
"Erbim_Fagu",
"birthPlace",
"Tirana"
],
[
"Erbim_Fagu",
"position",
"Defender_(association_football)"
],
[
"Erbim_Fagu",
"team",
"Albania_national_under-21_football_team"
],
[
"Erbim_Fagu",
"team",
"Besa_Kavajë"
],
[
"Erbim_Fagu",
"team",
"KF_Elbasani"
],
[
"Erbim_Fagu",
"team",
"KF_Skënderbeu_Korçë"
],
[
"Erbim_Fagu",
"team",
"KF_Teuta_Durrës"
],
[
"Erbim_Fagu",
"team",
"KF_Tirana"
],
[
"Erjon_Dushku",
"birthPlace",
"Albania"
],
[
"Erjon_Dushku",
"birthPlace",
"Lezhë"
],
[
"Erjon_Dushku",
"position",
"Defender_(association_football)"
],
[
"Erjon_Dushku",
"team",
"Albania_national_under-17_football_team"
],
[
"Erjon_Dushku",
"team",
"Albania_national_under-19_football_team"
],
[
"Erjon_Dushku",
"team",
"Albania_national_under-21_football_team"
],
[
"Erjon_Dushku",
"team",
"FK_Kukësi"
],
[
"Erjon_Dushku",
"team",
"Flamurtari_Vlorë"
],
[
"Erjon_Dushku",
"team",
"KF_Teuta_Durrës"
],
[
"Erjon_Dushku",
"team",
"KF_Tirana"
],
[
"Erjon_Dushku",
"team",
"KS_Kastrioti"
],
[
"Ervin_Bulku",
"birthPlace",
"Albania"
],
[
"Ervin_Bulku",
"birthPlace",
"Tirana"
],
[
"Ervin_Bulku",
"position",
"Defender_(association_football)"
],
[
"Ervin_Bulku",
"team",
"Albania_national_football_team"
],
[
"Ervin_Bulku",
"team",
"Albania_national_under-18_football_team"
],
[
"Ervin_Bulku",
"team",
"Albania_national_under-21_football_team"
],
[
"Ervin_Bulku",
"team",
"KF_Tirana"
],
[
"Franc_Veliu",
"birthPlace",
"Albania"
],
[
"Franc_Veliu",
"birthPlace",
"Vlorë"
],
[
"Franc_Veliu",
"position",
"Defender_(association_football)"
],
[
"Franc_Veliu",
"team",
"Albania_national_football_team"
],
[
"Franc_Veliu",
"team",
"Albania_national_under-21_football_team"
],
[
"Franc_Veliu",
"team",
"FK_Kukësi"
],
[
"Franc_Veliu",
"team",
"FK_Partizani_Tirana"
],
[
"Franc_Veliu",
"team",
"Flamurtari_Vlorë"
],
[
"Gentian_Muça",
"birthPlace",
"Albania"
],
[
"Gentian_Muça",
"birthPlace",
"Tirana"
],
[
"Gentian_Muça",
"position",
"Defender_(association_football)"
],
[
"Gentian_Muça",
"team",
"Albania_national_football_team"
],
[
"Gentian_Muça",
"team",
"Albania_national_under-19_football_team"
],
[
"Gentian_Muça",
"team",
"Albania_national_under-21_football_team"
],
[
"Gentian_Muça",
"team",
"FK_Dinamo_Tirana"
],
[
"Gentian_Muça",
"team",
"Flamurtari_Vlorë"
],
[
"Gentian_Muça",
"team",
"KF_Bylis_Ballsh"
],
[
"Gentian_Muça",
"team",
"KF_Tirana"
],
[
"Gentian_Muça",
"team",
"KF_Vllaznia_Shkodër"
],
[
"Gledi_Mici",
"birthPlace",
"Albania"
],
[
"Gledi_Mici",
"birthPlace",
"Tirana"
],
[
"Gledi_Mici",
"position",
"Defender_(association_football)"
],
[
"Gledi_Mici",
"team",
"Albania_national_under-17_football_team"
],
[
"Gledi_Mici",
"team",
"Albania_national_under-21_football_team"
],
[
"Gledi_Mici",
"team",
"FK_Kukësi"
],
[
"Gledi_Mici",
"team",
"Flamurtari_Vlorë"
],
[
"Gledi_Mici",
"team",
"KF_Apolonia_Fier"
],
[
"Gledi_Mici",
"team",
"KF_Tirana"
],
[
"Harallamb_Qaqi",
"birthPlace",
"Albania"
],
[
"Harallamb_Qaqi",
"birthPlace",
"Tirana"
],
[
"Harallamb_Qaqi",
"position",
"Defender_(association_football)"
],
[
"Harallamb_Qaqi",
"team",
"Albania_national_under-18_football_team"
],
[
"Harallamb_Qaqi",
"team",
"Albania_national_under-19_football_team"
],
[
"Harallamb_Qaqi",
"team",
"Albania_national_under-21_football_team"
],
[
"Harallamb_Qaqi",
"team",
"FK_Partizani_Tirana"
],
[
"James_Kwesi_Appiah",
"managerClub",
"Al_Khartoum_SC"
],
[
"James_Kwesi_Appiah",
"position",
"Defender_(association_football)"
],
[
"James_Kwesi_Appiah",
"team",
"Al_Khartoum_SC"
],
[
"Johan_Driza",
"birthPlace",
"Albania"
],
[
"Johan_Driza",
"birthPlace",
"Vlorë"
],
[
"Johan_Driza",
"position",
"Defender_(association_football)"
],
[
"Johan_Driza",
"team",
"Albania_national_football_team"
],
[
"Johan_Driza",
"team",
"Albania_national_under-21_football_team"
],
[
"Johan_Driza",
"team",
"FK_Dinamo_Tirana"
],
[
"Johan_Driza",
"team",
"Flamurtari_Vlorë"
],
[
"Johan_Driza",
"team",
"KF_Bylis_Ballsh"
],
[
"Johan_Driza",
"team",
"KF_Teuta_Durrës"
],
[
"Johan_Driza",
"team",
"KF_Tirana"
],
[
"Klodian_Semina",
"birthPlace",
"Albania"
],
[
"Klodian_Semina",
"birthPlace",
"Shkodër"
],
[
"Klodian_Semina",
"position",
"Defender_(association_football)"
],
[
"Klodian_Semina",
"team",
"Albania_national_under-19_football_team"
],
[
"Klodian_Semina",
"team",
"Albania_national_under-21_football_team"
],
[
"Klodian_Semina",
"team",
"Besëlidhja_Lezhë"
],
[
"Klodian_Semina",
"team",
"KF_Vllaznia_Shkodër"
],
[
"Klodian_Semina",
"team",
"PFC_Belasitsa_Petrich"
],
[
"Kristi_Marku",
"birthPlace",
"Albania"
],
[
"Kristi_Marku",
"birthPlace",
"Durrës"
],
[
"Kristi_Marku",
"position",
"Defender_(association_football)"
],
[
"Kristi_Marku",
"team",
"Albania_national_under-17_football_team"
],
[
"Kristi_Marku",
"team",
"Albania_national_under-19_football_team"
],
[
"Kristi_Marku",
"team",
"Albania_national_under-21_football_team"
],
[
"Kristi_Marku",
"team",
"Flamurtari_Vlorë"
],
[
"Kristi_Marku",
"team",
"KF_Teuta_Durrës"
],
[
"Kristi_Qose",
"birthPlace",
"Albania"
],
[
"Kristi_Qose",
"birthPlace",
"Korçë"
],
[
"Kristi_Qose",
"position",
"Defender_(association_football)"
],
[
"Kristi_Qose",
"team",
"Albania_national_football_team"
],
[
"Kristi_Qose",
"team",
"Albania_national_under-19_football_team"
],
[
"Kristi_Qose",
"team",
"Albania_national_under-21_football_team"
],
[
"Kristi_Qose",
"team",
"Iraklis_1908_Thessaloniki_F.C."
],
[
"List_of_Albanian_football_transfers_summer_2008",
"currentMember",
"Amarildo_Belisha"
],
[
"List_of_Albanian_football_transfers_summer_2008",
"currentMember",
"Andi_Lila"
],
[
"List_of_Albanian_football_transfers_summer_2008",
"currentMember",
"Ditmar_Bicaj"
],
[
"List_of_Albanian_football_transfers_summer_2008",
"currentMember",
"Erbim_Fagu"
],
[
"List_of_Albanian_football_transfers_summer_2010",
"currentMember",
"Erbim_Fagu"
],
[
"List_of_Albanian_football_transfers_summer_2010",
"currentMember",
"Klodian_Semina"
],
[
"List_of_Albanian_football_transfers_summer_2010",
"currentMember",
"Renato_Arapi"
],
[
"List_of_Albanian_football_transfers_summer_2011",
"currentMember",
"Erbim_Fagu"
],
[
"List_of_Albanian_football_transfers_summer_2011",
"currentMember",
"Klodian_Semina"
],
[
"List_of_Albanian_football_transfers_summer_2013",
"currentMember",
"Antonio_Marku"
],
[
"List_of_Albanian_football_transfers_summer_2013",
"currentMember",
"Arjan_Sheta"
],
[
"List_of_Albanian_football_transfers_summer_2013",
"currentMember",
"Arsen_Sykaj"
],
[
"List_of_Albanian_football_transfers_summer_2013",
"currentMember",
"Elvis_Prençi"
],
[
"List_of_Albanian_football_transfers_summer_2013",
"currentMember",
"Erjon_Dushku"
],
[
"List_of_Albanian_football_transfers_summer_2013",
"currentMember",
"Roland_Peqini"
],
[
"List_of_Albanian_football_transfers_summer_2013",
"currentMember",
"Shaqir_Stafa"
],
[
"List_of_Albanian_football_transfers_summer_2015",
"currentMember",
"Amir_Rrahmani"
],
[
"List_of_Albanian_football_transfers_summer_2015",
"currentMember",
"Arsen_Sykaj"
],
[
"List_of_Albanian_football_transfers_summer_2015",
"currentMember",
"Bruno_Kepi"
],
[
"List_of_Albanian_football_transfers_summer_2015",
"currentMember",
"Ditmar_Bicaj"
],
[
"List_of_Albanian_football_transfers_summer_2015",
"currentMember",
"Dritan_Smajlaj"
],
[
"List_of_Albanian_football_transfers_summer_2015",
"currentMember",
"Dritan_Smajli"
],
[
"List_of_Albanian_football_transfers_summer_2015",
"currentMember",
"Entonio_Pashaj"
],
[
"List_of_Albanian_football_transfers_summer_2015",
"currentMember",
"Erjon_Dushku"
],
[
"List_of_Albanian_football_transfers_summer_2015",
"currentMember",
"Franc_Veliu"
],
[
"List_of_Albanian_football_transfers_summer_2015",
"currentMember",
"Gentian_Muça"
],
[
"List_of_Albanian_football_transfers_summer_2015",
"currentMember",
"Harallamb_Qaqi"
],
[
"List_of_Albanian_football_transfers_summer_2015",
"currentMember",
"Polizoi_Arbëri"
],
[
"List_of_Albanian_football_transfers_summer_2015",
"currentMember",
"Roland_Peqini"
],
[
"List_of_Albanian_football_transfers_summer_2015",
"currentMember",
"Shaqir_Stafa"
],
[
"List_of_Albanian_football_transfers_winter_2015–16",
"currentMember",
"Franc_Veliu"
],
[
"List_of_Albanian_football_transfers_winter_2015–16",
"currentMember",
"Kristi_Marku"
],
[
"List_of_Iranian_football_transfers_summer_2014",
"currentMember",
"Ditmar_Bicaj"
],
[
"List_of_Iranian_football_transfers_summer_2014",
"currentMember",
"Ervin_Bulku"
],
[
"Luan_Zmijani",
"birthPlace",
"Albania"
],
[
"Luan_Zmijani",
"birthPlace",
"Shkodër"
],
[
"Luan_Zmijani",
"managerClub",
"KF_Vllaznia_Shkodër"
],
[
"Luan_Zmijani",
"position",
"Defender_(association_football)"
],
[
"Luan_Zmijani",
"team",
"Albania_national_football_team"
],
[
"Luan_Zmijani",
"team",
"Albania_national_under-21_football_team"
],
[
"Luan_Zmijani",
"team",
"Besëlidhja_Lezhë"
],
[
"Luan_Zmijani",
"team",
"FK_Egnatia"
],
[
"Luan_Zmijani",
"team",
"FK_Partizani_Tirana"
],
[
"Luan_Zmijani",
"team",
"KF_Vllaznia_Shkodër"
],
[
"Polizoi_Arbëri",
"birthPlace",
"Albania"
],
[
"Polizoi_Arbëri",
"position",
"Defender_(association_football)"
],
[
"Polizoi_Arbëri",
"team",
"Albania_national_under-19_football_team"
],
[
"Polizoi_Arbëri",
"team",
"Albania_national_under-21_football_team"
],
[
"Polizoi_Arbëri",
"team",
"Albania_national_youth_football_team"
],
[
"Polizoi_Arbëri",
"team",
"FK_Tomori_Berat"
],
[
"Polizoi_Arbëri",
"team",
"Flamurtari_Vlorë"
],
[
"Polizoi_Arbëri",
"team",
"KF_Bylis_Ballsh"
],
[
"Polizoi_Arbëri",
"team",
"KF_Lushnja"
],
[
"Polizoi_Arbëri",
"team",
"KF_Vllaznia_Shkodër"
],
[
"Renato_Arapi",
"birthPlace",
"Albania"
],
[
"Renato_Arapi",
"birthPlace",
"Durrës"
],
[
"Renato_Arapi",
"position",
"Defender_(association_football)"
],
[
"Renato_Arapi",
"team",
"Albania_national_under-19_football_team"
],
[
"Renato_Arapi",
"team",
"Albania_national_under-21_football_team"
],
[
"Renato_Arapi",
"team",
"Albania_national_youth_football_team"
],
[
"Renato_Arapi",
"team",
"Besa_Kavajë"
],
[
"Renato_Arapi",
"team",
"FK_Dinamo_Tirana"
],
[
"Renato_Arapi",
"team",
"KF_Erzeni"
],
[
"Renato_Arapi",
"team",
"KF_Skënderbeu_Korçë"
],
[
"Renato_Arapi",
"team",
"Shkumbini_Peqin"
],
[
"Renato_Malota",
"birthPlace",
"Albania"
],
[
"Renato_Malota",
"birthPlace",
"Lezhë"
],
[
"Renato_Malota",
"position",
"Defender_(association_football)"
],
[
"Renato_Malota",
"team",
"Albania_national_under-19_football_team"
],
[
"Renato_Malota",
"team",
"Albania_national_under-20_football_team"
],
[
"Renato_Malota",
"team",
"Albania_national_under-21_football_team"
],
[
"Renato_Malota",
"team",
"Besëlidhja_Lezhë"
],
[
"Renato_Malota",
"team",
"FK_Dinamo_Tirana"
],
[
"Renato_Malota",
"team",
"FK_Kukësi"
],
[
"Renato_Malota",
"team",
"FK_Partizani_Tirana"
],
[
"Rezart_Dabulla",
"birthPlace",
"Albania"
],
[
"Rezart_Dabulla",
"birthPlace",
"Tirana"
],
[
"Rezart_Dabulla",
"position",
"Defender_(association_football)"
],
[
"Rezart_Dabulla",
"team",
"Albania_national_football_team"
],
[
"Rezart_Dabulla",
"team",
"Albania_national_under-19_football_team"
],
[
"Rezart_Dabulla",
"team",
"Albania_national_under-21_football_team"
],
[
"Rezart_Dabulla",
"team",
"KF_Lushnja"
],
[
"Rezart_Dabulla",
"team",
"KF_Tirana"
],
[
"Rezart_Dabulla",
"team",
"KF_Vllaznia_Shkodër"
],
[
"Rezart_Dabulla",
"team",
"Shkumbini_Peqin"
],
[
"Roland_Peqini",
"birthPlace",
"Albania"
],
[
"Roland_Peqini",
"position",
"Defender_(association_football)"
],
[
"Roland_Peqini",
"team",
"Albania_national_under-21_football_team"
],
[
"Roland_Peqini",
"team",
"FK_Dinamo_Tirana"
],
[
"Roland_Peqini",
"team",
"FK_Kukësi"
],
[
"Roland_Peqini",
"team",
"KF_Apolonia_Fier"
],
[
"Roland_Peqini",
"team",
"KF_Tirana"
],
[
"Roland_Peqini",
"team",
"KF_Tërbuni_Pukë"
],
[
"Saimir_Malko",
"birthPlace",
"Albania"
],
[
"Saimir_Malko",
"managerClub",
"KF_Lushnja"
],
[
"Saimir_Malko",
"position",
"Defender_(association_football)"
],
[
"Saimir_Malko",
"team",
"Albania_national_football_team"
],
[
"Saimir_Malko",
"team",
"Albania_national_under-21_football_team"
],
[
"Saimir_Malko",
"team",
"FK_Dinamo_Tirana"
],
[
"Saimir_Malko",
"team",
"FK_Partizani_Tirana"
],
[
"Saimir_Malko",
"team",
"Flamurtari_Vlorë"
],
[
"Saimir_Malko",
"team",
"KF_Lushnja"
],
[
"Saimir_Malko",
"team",
"KF_Tirana"
],
[
"Shaqir_Stafa",
"birthPlace",
"Albania"
],
[
"Shaqir_Stafa",
"birthPlace",
"Durrës"
],
[
"Shaqir_Stafa",
"position",
"Defender_(association_football)"
],
[
"Shaqir_Stafa",
"team",
"Albania_national_under-21_football_team"
],
[
"Shaqir_Stafa",
"team",
"Besa_Kavajë"
],
[
"Shaqir_Stafa",
"team",
"FK_Tomori_Berat"
],
[
"Shaqir_Stafa",
"team",
"KF_Erzeni"
],
[
"Shaqir_Stafa",
"team",
"KF_Teuta_Durrës"
],
[
"Skënder_Gega",
"birthPlace",
"Albania"
],
[
"Skënder_Gega",
"managerClub",
"Albania_national_under-19_football_team"
],
[
"Skënder_Gega",
"managerClub",
"Albania_national_under-21_football_team"
],
[
"Skënder_Gega",
"position",
"Defender_(association_football)"
],
[
"Skënder_Gega",
"team",
"Albania_national_football_team"
],
[
"Skënder_Gega",
"team",
"Albania_national_under-21_football_team"
],
[
"Skënder_Gega",
"team",
"FK_Partizani_Tirana"
],
[
"Sulejman_Starova",
"birthPlace",
"Albania"
],
[
"Sulejman_Starova",
"birthPlace",
"Tirana"
],
[
"Sulejman_Starova",
"managerClub",
"Besa_Kavajë"
],
[
"Sulejman_Starova",
"managerClub",
"FK_Kukësi"
],
[
"Sulejman_Starova",
"managerClub",
"FK_Partizani_Tirana"
],
[
"Sulejman_Starova",
"managerClub",
"KF_Teuta_Durrës"
],
[
"Sulejman_Starova",
"managerClub",
"KF_Tirana"
],
[
"Sulejman_Starova",
"position",
"Defender_(association_football)"
],
[
"Sulejman_Starova",
"team",
"Albania_national_football_team"
],
[
"Sulejman_Starova",
"team",
"Albania_national_under-21_football_team"
],
[
"Sulejman_Starova",
"team",
"FK_Partizani_Tirana"
],
[
"Sulejman_Starova",
"team",
"KF_Tirana"
],
[
"Tefik_Osmani",
"birthPlace",
"Albania"
],
[
"Tefik_Osmani",
"birthPlace",
"Korçë"
],
[
"Tefik_Osmani",
"position",
"Defender_(association_football)"
],
[
"Tefik_Osmani",
"team",
"Albania_national_football_team"
],
[
"Tefik_Osmani",
"team",
"Albania_national_under-19_football_team"
],
[
"Tefik_Osmani",
"team",
"Albania_national_under-21_football_team"
],
[
"Tefik_Osmani",
"team",
"FK_Partizani_Tirana"
],
[
"Tefik_Osmani",
"team",
"FK_Tomori_Berat"
],
[
"Tefik_Osmani",
"team",
"KF_Elbasani"
],
[
"Tefik_Osmani",
"team",
"KF_Skënderbeu_Korçë"
],
[
"Tefik_Osmani",
"team",
"KF_Teuta_Durrës"
],
[
"Tefik_Osmani",
"team",
"KF_Tirana"
],
[
"Tefik_Osmani",
"team",
"KF_Vllaznia_Shkodër"
],
[
"Valentin_Gjokaj",
"position",
"Defender_(association_football)"
],
[
"Valentin_Gjokaj",
"team",
"Albania_national_under-21_football_team"
]
],
"ground_truth": [],
"gt_cost": null
} |
dbpedia500 |
You are given a directed graph as two CSV-like sections in this order:
1) Node table (header included):
node_id, node_attr
2) Edge table (header included):
src, edge_attr, dst
Task
- Use ONLY edges from the Edge table to answer the question by outputting a path.
- When printing each edge, replace IDs with the exact node_attr from the Node table.
- Output MUST be text triples, not numeric IDs.
Output format (STRICT — no extra text):
PATH:
("subject"|predicate|"object")
...
END
Rules
- Use only listed edges; do NOT invent edges.
- Map IDs → node_attr; preserve node_attr exactly.
- Output NOTHING outside the PATH block.
- If no path exists, output exactly:
PATH:
END
Graph:
node_id, node_attr
188670, Australia
429009, Harvest_TV
485689, Kerala
86980, Lyn_Warwick
287229, Powervision_TV
22751, Rajeev_Alunkal
324915, Thigala
306682, Tulu_people
265285, Vokkaliga
src, edge_attr, dst
429009, broadcastArea, 188670
429009, headquarter, 485689
86980, birthPlace, 188670
86980, nationality, 188670
287229, broadcastArea, 188670
287229, headquarter, 485689
22751, birthPlace, 485689
324915, populationPlace, 188670
324915, populationPlace, 485689
306682, populationPlace, 188670
306682, populationPlace, 485689
265285, populationPlace, 188670
265285, populationPlace, 485689
Question: In what context are Lyn_Warwick and Rajeev_Alunkal connected?
Your output must be ONLY the PATH block.
| graph_path | {
"style": "rule"
} | {
"entities": [
"Lyn_Warwick",
"Rajeev_Alunkal"
],
"valid_edges": [
[
"Harvest_TV",
"broadcastArea",
"Australia"
],
[
"Harvest_TV",
"headquarter",
"Kerala"
],
[
"Lyn_Warwick",
"birthPlace",
"Australia"
],
[
"Lyn_Warwick",
"nationality",
"Australia"
],
[
"Powervision_TV",
"broadcastArea",
"Australia"
],
[
"Powervision_TV",
"headquarter",
"Kerala"
],
[
"Rajeev_Alunkal",
"birthPlace",
"Kerala"
],
[
"Thigala",
"populationPlace",
"Australia"
],
[
"Thigala",
"populationPlace",
"Kerala"
],
[
"Tulu_people",
"populationPlace",
"Australia"
],
[
"Tulu_people",
"populationPlace",
"Kerala"
],
[
"Vokkaliga",
"populationPlace",
"Australia"
],
[
"Vokkaliga",
"populationPlace",
"Kerala"
]
],
"ground_truth": [],
"gt_cost": null
} |
dbpedia500 |
You are given a directed graph as two CSV-like sections in this order:
1) Node table (header included):
node_id, node_attr
2) Edge table (header included):
src, edge_attr, dst
Task
- Use ONLY edges from the Edge table to answer the question by outputting a path.
- When printing each edge, replace IDs with the exact node_attr from the Node table.
- Output MUST be text triples, not numeric IDs.
Output format (STRICT — no extra text):
PATH:
("subject"|predicate|"object")
...
END
Rules
- Use only listed edges; do NOT invent edges.
- Map IDs → node_attr; preserve node_attr exactly.
- Output NOTHING outside the PATH block.
- If no path exists, output exactly:
PATH:
END
Graph:
node_id, node_attr
243222, Brian_Mulroney
412833, Florida
133033, Gary_Stewart_(singer)
255063, Honky-tonk
34860, Palm_Beach,_Florida
src, edge_attr, dst
243222, residence, 34860
133033, deathPlace, 412833
133033, genre, 255063
34860, isPartOf, 412833
Question: How are Brian_Mulroney and Honky-tonk related?
Your output must be ONLY the PATH block.
| graph_path | {
"style": "rule"
} | {
"entities": [
"Brian_Mulroney",
"Honky-tonk"
],
"valid_edges": [
[
"Brian_Mulroney",
"residence",
"Palm_Beach,_Florida"
],
[
"Gary_Stewart_(singer)",
"deathPlace",
"Florida"
],
[
"Gary_Stewart_(singer)",
"genre",
"Honky-tonk"
],
[
"Palm_Beach,_Florida",
"isPartOf",
"Florida"
]
],
"ground_truth": [],
"gt_cost": null
} |
dbpedia500 |
You are given a directed graph as two CSV-like sections in this order:
1) Node table (header included):
node_id, node_attr
2) Edge table (header included):
src, edge_attr, dst
Task
- Use ONLY edges from the Edge table to answer the question by outputting a path.
- When printing each edge, replace IDs with the exact node_attr from the Node table.
- Output MUST be text triples, not numeric IDs.
Output format (STRICT — no extra text):
PATH:
("subject"|predicate|"object")
...
END
Rules
- Use only listed edges; do NOT invent edges.
- Map IDs → node_attr; preserve node_attr exactly.
- Output NOTHING outside the PATH block.
- If no path exists, output exactly:
PATH:
END
Graph:
node_id, node_attr
379151, Bruce_Murray_(soccer)
199751, Cyril_Guedjé
418600, Forward_(association_football)
160440, Kenny_Cooper
137483, Maryland
55515, Reginald_F._Nicholson
165162, Santino_Quaranta
src, edge_attr, dst
379151, birthPlace, 137483
379151, position, 418600
199751, position, 418600
160440, birthPlace, 137483
160440, position, 418600
55515, deathPlace, 137483
165162, birthPlace, 137483
165162, position, 418600
Question: In what context are Cyril_Guedjé and Reginald_F._Nicholson connected?
Your output must be ONLY the PATH block.
| graph_path | {
"style": "rule"
} | {
"entities": [
"Cyril_Guedjé",
"Reginald_F._Nicholson"
],
"valid_edges": [
[
"Bruce_Murray_(soccer)",
"birthPlace",
"Maryland"
],
[
"Bruce_Murray_(soccer)",
"position",
"Forward_(association_football)"
],
[
"Cyril_Guedjé",
"position",
"Forward_(association_football)"
],
[
"Kenny_Cooper",
"birthPlace",
"Maryland"
],
[
"Kenny_Cooper",
"position",
"Forward_(association_football)"
],
[
"Reginald_F._Nicholson",
"deathPlace",
"Maryland"
],
[
"Santino_Quaranta",
"birthPlace",
"Maryland"
],
[
"Santino_Quaranta",
"position",
"Forward_(association_football)"
]
],
"ground_truth": [],
"gt_cost": null
} |
dbpedia500 |
You are given a directed graph as two CSV-like sections in this order:
1) Node table (header included):
node_id, node_attr
2) Edge table (header included):
src, edge_attr, dst
Task
- Use ONLY edges from the Edge table to answer the question by outputting a path.
- When printing each edge, replace IDs with the exact node_attr from the Node table.
- Output MUST be text triples, not numeric IDs.
Output format (STRICT — no extra text):
PATH:
("subject"|predicate|"object")
...
END
Rules
- Use only listed edges; do NOT invent edges.
- Map IDs → node_attr; preserve node_attr exactly.
- Output NOTHING outside the PATH block.
- If no path exists, output exactly:
PATH:
END
Graph:
node_id, node_attr
448797, Dream_Morning_Musume
121744, Eizi_Matuda
335074, Hangry_&_Angry
472622, Melon_Kinenbi
178225, Minimoni
60304, Morning_Musume
483427, Morning_Musume_Otomegumi
309505, Morning_Musume_Sakuragumi
184155, Ongaku_Gatas
394104, Petitmoni
80512, Seinaru_Kane_ga_Hibiku_Yoru
139245, Tanpopo
332948, Tokyo
5705, University_of_Tokyo
4912, W_(group)
134228, Zetima
src, edge_attr, dst
448797, associatedBand, 139245
448797, associatedMusicalArtist, 139245
448797, recordLabel, 134228
121744, almaMater, 5705
335074, associatedBand, 139245
335074, associatedMusicalArtist, 139245
335074, recordLabel, 134228
472622, associatedBand, 139245
472622, associatedMusicalArtist, 139245
472622, recordLabel, 134228
178225, associatedBand, 139245
178225, associatedMusicalArtist, 139245
178225, recordLabel, 134228
60304, associatedBand, 139245
60304, associatedMusicalArtist, 139245
60304, recordLabel, 134228
483427, associatedBand, 139245
483427, associatedMusicalArtist, 139245
483427, recordLabel, 134228
309505, associatedBand, 139245
309505, associatedMusicalArtist, 139245
309505, recordLabel, 134228
184155, associatedBand, 139245
184155, associatedMusicalArtist, 139245
184155, recordLabel, 134228
394104, associatedBand, 139245
394104, associatedMusicalArtist, 139245
394104, recordLabel, 134228
80512, musicalArtist, 139245
80512, musicalBand, 139245
80512, recordLabel, 134228
139245, associatedBand, 472622
139245, associatedBand, 178225
139245, associatedBand, 60304
139245, associatedBand, 483427
139245, associatedBand, 309505
139245, associatedBand, 4912
139245, associatedMusicalArtist, 472622
139245, associatedMusicalArtist, 178225
139245, associatedMusicalArtist, 60304
139245, associatedMusicalArtist, 483427
139245, associatedMusicalArtist, 309505
139245, associatedMusicalArtist, 4912
139245, hometown, 332948
139245, recordLabel, 134228
5705, city, 332948
4912, associatedBand, 139245
4912, associatedMusicalArtist, 139245
4912, recordLabel, 134228
Question: In what context are Eizi_Matuda and Seinaru_Kane_ga_Hibiku_Yoru connected?
Your output must be ONLY the PATH block.
| graph_path | {
"style": "rule"
} | {
"entities": [
"Eizi_Matuda",
"Seinaru_Kane_ga_Hibiku_Yoru"
],
"valid_edges": [
[
"Dream_Morning_Musume",
"associatedBand",
"Tanpopo"
],
[
"Dream_Morning_Musume",
"associatedMusicalArtist",
"Tanpopo"
],
[
"Dream_Morning_Musume",
"recordLabel",
"Zetima"
],
[
"Eizi_Matuda",
"almaMater",
"University_of_Tokyo"
],
[
"Hangry_&_Angry",
"associatedBand",
"Tanpopo"
],
[
"Hangry_&_Angry",
"associatedMusicalArtist",
"Tanpopo"
],
[
"Hangry_&_Angry",
"recordLabel",
"Zetima"
],
[
"Melon_Kinenbi",
"associatedBand",
"Tanpopo"
],
[
"Melon_Kinenbi",
"associatedMusicalArtist",
"Tanpopo"
],
[
"Melon_Kinenbi",
"recordLabel",
"Zetima"
],
[
"Minimoni",
"associatedBand",
"Tanpopo"
],
[
"Minimoni",
"associatedMusicalArtist",
"Tanpopo"
],
[
"Minimoni",
"recordLabel",
"Zetima"
],
[
"Morning_Musume",
"associatedBand",
"Tanpopo"
],
[
"Morning_Musume",
"associatedMusicalArtist",
"Tanpopo"
],
[
"Morning_Musume",
"recordLabel",
"Zetima"
],
[
"Morning_Musume_Otomegumi",
"associatedBand",
"Tanpopo"
],
[
"Morning_Musume_Otomegumi",
"associatedMusicalArtist",
"Tanpopo"
],
[
"Morning_Musume_Otomegumi",
"recordLabel",
"Zetima"
],
[
"Morning_Musume_Sakuragumi",
"associatedBand",
"Tanpopo"
],
[
"Morning_Musume_Sakuragumi",
"associatedMusicalArtist",
"Tanpopo"
],
[
"Morning_Musume_Sakuragumi",
"recordLabel",
"Zetima"
],
[
"Ongaku_Gatas",
"associatedBand",
"Tanpopo"
],
[
"Ongaku_Gatas",
"associatedMusicalArtist",
"Tanpopo"
],
[
"Ongaku_Gatas",
"recordLabel",
"Zetima"
],
[
"Petitmoni",
"associatedBand",
"Tanpopo"
],
[
"Petitmoni",
"associatedMusicalArtist",
"Tanpopo"
],
[
"Petitmoni",
"recordLabel",
"Zetima"
],
[
"Seinaru_Kane_ga_Hibiku_Yoru",
"musicalArtist",
"Tanpopo"
],
[
"Seinaru_Kane_ga_Hibiku_Yoru",
"musicalBand",
"Tanpopo"
],
[
"Seinaru_Kane_ga_Hibiku_Yoru",
"recordLabel",
"Zetima"
],
[
"Tanpopo",
"associatedBand",
"Melon_Kinenbi"
],
[
"Tanpopo",
"associatedBand",
"Minimoni"
],
[
"Tanpopo",
"associatedBand",
"Morning_Musume"
],
[
"Tanpopo",
"associatedBand",
"Morning_Musume_Otomegumi"
],
[
"Tanpopo",
"associatedBand",
"Morning_Musume_Sakuragumi"
],
[
"Tanpopo",
"associatedBand",
"W_(group)"
],
[
"Tanpopo",
"associatedMusicalArtist",
"Melon_Kinenbi"
],
[
"Tanpopo",
"associatedMusicalArtist",
"Minimoni"
],
[
"Tanpopo",
"associatedMusicalArtist",
"Morning_Musume"
],
[
"Tanpopo",
"associatedMusicalArtist",
"Morning_Musume_Otomegumi"
],
[
"Tanpopo",
"associatedMusicalArtist",
"Morning_Musume_Sakuragumi"
],
[
"Tanpopo",
"associatedMusicalArtist",
"W_(group)"
],
[
"Tanpopo",
"hometown",
"Tokyo"
],
[
"Tanpopo",
"recordLabel",
"Zetima"
],
[
"University_of_Tokyo",
"city",
"Tokyo"
],
[
"W_(group)",
"associatedBand",
"Tanpopo"
],
[
"W_(group)",
"associatedMusicalArtist",
"Tanpopo"
],
[
"W_(group)",
"recordLabel",
"Zetima"
]
],
"ground_truth": [],
"gt_cost": null
} |
dbpedia500 |
You are given a directed graph as two CSV-like sections in this order:
1) Node table (header included):
node_id, node_attr
2) Edge table (header included):
src, edge_attr, dst
Task
- Use ONLY edges from the Edge table to answer the question by outputting a path.
- When printing each edge, replace IDs with the exact node_attr from the Node table.
- Output MUST be text triples, not numeric IDs.
Output format (STRICT — no extra text):
PATH:
("subject"|predicate|"object")
...
END
Rules
- Use only listed edges; do NOT invent edges.
- Map IDs → node_attr; preserve node_attr exactly.
- Output NOTHING outside the PATH block.
- If no path exists, output exactly:
PATH:
END
Graph:
node_id, node_attr
172074, Bambi's_Children
203287, Franches-Montagnes_District
75785, Hardcover
271353, Switzerland
209376, The_Eye_of_the_Heron
src, edge_attr, dst
172074, country, 271353
172074, mediaType, 75785
203287, country, 271353
209376, mediaType, 75785
Question: In what context are Franches-Montagnes_District and The_Eye_of_the_Heron connected?
Your output must be ONLY the PATH block.
| graph_path | {
"style": "rule"
} | {
"entities": [
"Franches-Montagnes_District",
"The_Eye_of_the_Heron"
],
"valid_edges": [
[
"Bambi's_Children",
"country",
"Switzerland"
],
[
"Bambi's_Children",
"mediaType",
"Hardcover"
],
[
"Franches-Montagnes_District",
"country",
"Switzerland"
],
[
"The_Eye_of_the_Heron",
"mediaType",
"Hardcover"
]
],
"ground_truth": [],
"gt_cost": null
} |
dbpedia500 |
You are given a directed graph as two CSV-like sections in this order:
1) Node table (header included):
node_id, node_attr
2) Edge table (header included):
src, edge_attr, dst
Task
- Use ONLY edges from the Edge table to answer the question by outputting a path.
- When printing each edge, replace IDs with the exact node_attr from the Node table.
- Output MUST be text triples, not numeric IDs.
Output format (STRICT — no extra text):
PATH:
("subject"|predicate|"object")
...
END
Rules
- Use only listed edges; do NOT invent edges.
- Map IDs → node_attr; preserve node_attr exactly.
- Output NOTHING outside the PATH block.
- If no path exists, output exactly:
PATH:
END
Graph:
node_id, node_attr
447560, Baritone
89606, Big_Daddy_Kane
186641, Come_On_Back
278597, Jerry_Yan
352818, Josh_Groban
409634, Ken_Chu
334319, Model_(people)
453233, Reprise_Records
122931, Vic_Chou
src, edge_attr, dst
89606, occupation, 334319
89606, recordLabel, 453233
186641, recordLabel, 453233
278597, occupation, 334319
278597, voiceType, 447560
352818, instrument, 447560
352818, recordLabel, 453233
409634, occupation, 334319
409634, voiceType, 447560
122931, occupation, 334319
122931, voiceType, 447560
Question: How are Come_On_Back and Ken_Chu related?
Your output must be ONLY the PATH block.
| graph_path | {
"style": "rule"
} | {
"entities": [
"Come_On_Back",
"Ken_Chu"
],
"valid_edges": [
[
"Big_Daddy_Kane",
"occupation",
"Model_(people)"
],
[
"Big_Daddy_Kane",
"recordLabel",
"Reprise_Records"
],
[
"Come_On_Back",
"recordLabel",
"Reprise_Records"
],
[
"Jerry_Yan",
"occupation",
"Model_(people)"
],
[
"Jerry_Yan",
"voiceType",
"Baritone"
],
[
"Josh_Groban",
"instrument",
"Baritone"
],
[
"Josh_Groban",
"recordLabel",
"Reprise_Records"
],
[
"Ken_Chu",
"occupation",
"Model_(people)"
],
[
"Ken_Chu",
"voiceType",
"Baritone"
],
[
"Vic_Chou",
"occupation",
"Model_(people)"
],
[
"Vic_Chou",
"voiceType",
"Baritone"
]
],
"ground_truth": [],
"gt_cost": null
} |
dbpedia500 |
You are given a directed graph as two CSV-like sections in this order:
1) Node table (header included):
node_id, node_attr
2) Edge table (header included):
src, edge_attr, dst
Task
- Use ONLY edges from the Edge table to answer the question by outputting a path.
- When printing each edge, replace IDs with the exact node_attr from the Node table.
- Output MUST be text triples, not numeric IDs.
Output format (STRICT — no extra text):
PATH:
("subject"|predicate|"object")
...
END
Rules
- Use only listed edges; do NOT invent edges.
- Map IDs → node_attr; preserve node_attr exactly.
- Output NOTHING outside the PATH block.
- If no path exists, output exactly:
PATH:
END
Graph:
node_id, node_attr
332041, Alexander_Ramsey
430692, Alf_Landon
207225, Ben_H._Guill
345727, Bill_Young
172042, Christopher_Magee_(politician)
234296, Dorothy_Fadiman
51172, Franklin_MacVeagh
269588, Jim_Saxton
246902, John_E._Peterson
22882, John_Kline_(politician)
135309, John_Murrell_(bandit)
454475, John_W._Geary
239138, Methodism
368129, Pennsylvania
148649, Rutherford_County,_Tennessee
316986, Smyrna,_Tennessee
412051, Tennessee
352506, Welsh_Americans
393305, William_Barksdale
src, edge_attr, dst
332041, region, 368129
332041, religion, 239138
430692, birthPlace, 368129
430692, religion, 239138
207225, birthPlace, 148649
207225, birthPlace, 316986
345727, birthPlace, 368129
345727, religion, 239138
172042, birthPlace, 368129
172042, deathPlace, 368129
172042, religion, 239138
234296, birthPlace, 368129
51172, birthPlace, 368129
51172, religion, 239138
269588, birthPlace, 368129
269588, religion, 239138
246902, region, 368129
246902, religion, 239138
22882, birthPlace, 368129
22882, religion, 239138
135309, religion, 239138
135309, restingPlace, 148649
135309, restingPlace, 316986
454475, birthPlace, 368129
454475, deathPlace, 368129
454475, religion, 239138
148649, state, 412051
316986, isPartOf, 148649
316986, isPartOf, 412051
352506, populationPlace, 368129
352506, religion, 239138
393305, birthPlace, 316986
393305, deathPlace, 368129
Question: How are Dorothy_Fadiman and John_Murrell_(bandit) related?
Your output must be ONLY the PATH block.
| graph_path | {
"style": "rule"
} | {
"entities": [
"Dorothy_Fadiman",
"John_Murrell_(bandit)"
],
"valid_edges": [
[
"Alexander_Ramsey",
"region",
"Pennsylvania"
],
[
"Alexander_Ramsey",
"religion",
"Methodism"
],
[
"Alf_Landon",
"birthPlace",
"Pennsylvania"
],
[
"Alf_Landon",
"religion",
"Methodism"
],
[
"Ben_H._Guill",
"birthPlace",
"Rutherford_County,_Tennessee"
],
[
"Ben_H._Guill",
"birthPlace",
"Smyrna,_Tennessee"
],
[
"Bill_Young",
"birthPlace",
"Pennsylvania"
],
[
"Bill_Young",
"religion",
"Methodism"
],
[
"Christopher_Magee_(politician)",
"birthPlace",
"Pennsylvania"
],
[
"Christopher_Magee_(politician)",
"deathPlace",
"Pennsylvania"
],
[
"Christopher_Magee_(politician)",
"religion",
"Methodism"
],
[
"Dorothy_Fadiman",
"birthPlace",
"Pennsylvania"
],
[
"Franklin_MacVeagh",
"birthPlace",
"Pennsylvania"
],
[
"Franklin_MacVeagh",
"religion",
"Methodism"
],
[
"Jim_Saxton",
"birthPlace",
"Pennsylvania"
],
[
"Jim_Saxton",
"religion",
"Methodism"
],
[
"John_E._Peterson",
"region",
"Pennsylvania"
],
[
"John_E._Peterson",
"religion",
"Methodism"
],
[
"John_Kline_(politician)",
"birthPlace",
"Pennsylvania"
],
[
"John_Kline_(politician)",
"religion",
"Methodism"
],
[
"John_Murrell_(bandit)",
"religion",
"Methodism"
],
[
"John_Murrell_(bandit)",
"restingPlace",
"Rutherford_County,_Tennessee"
],
[
"John_Murrell_(bandit)",
"restingPlace",
"Smyrna,_Tennessee"
],
[
"John_W._Geary",
"birthPlace",
"Pennsylvania"
],
[
"John_W._Geary",
"deathPlace",
"Pennsylvania"
],
[
"John_W._Geary",
"religion",
"Methodism"
],
[
"Rutherford_County,_Tennessee",
"state",
"Tennessee"
],
[
"Smyrna,_Tennessee",
"isPartOf",
"Rutherford_County,_Tennessee"
],
[
"Smyrna,_Tennessee",
"isPartOf",
"Tennessee"
],
[
"Welsh_Americans",
"populationPlace",
"Pennsylvania"
],
[
"Welsh_Americans",
"religion",
"Methodism"
],
[
"William_Barksdale",
"birthPlace",
"Smyrna,_Tennessee"
],
[
"William_Barksdale",
"deathPlace",
"Pennsylvania"
]
],
"ground_truth": [],
"gt_cost": null
} |
dbpedia500 |
You are given a directed graph as two CSV-like sections in this order:
1) Node table (header included):
node_id, node_attr
2) Edge table (header included):
src, edge_attr, dst
Task
- Use ONLY edges from the Edge table to answer the question by outputting a path.
- When printing each edge, replace IDs with the exact node_attr from the Node table.
- Output MUST be text triples, not numeric IDs.
Output format (STRICT — no extra text):
PATH:
("subject"|predicate|"object")
...
END
Rules
- Use only listed edges; do NOT invent edges.
- Map IDs → node_attr; preserve node_attr exactly.
- Output NOTHING outside the PATH block.
- If no path exists, output exactly:
PATH:
END
Graph:
node_id, node_attr
412337, Alice_N'_Chains
289539, Andy_Schmetzer
232841, Anthony_Hudson_(footballer)
303960, Bob_Ramsey_(soccer)
354796, Brian_Schmetzer
205052, Dale_Mulholland
414993, Darren_Sawatzky
453032, Dick_McCormick
159217, Eddie_Henderson_(soccer)
226497, Jason_Farrell
40874, Kevin_Forrest
304592, Kimberly_Yokers
437772, Memorial_Stadium_(Seattle)
101669, Michelle_French
236148, Midfielder
428785, Paul_Holocher
83775, Peter_Hattrup
320920, Ricci_Greenwood
116951, Seattle
385222, Seattle_Pacific_University
300014, Spencer_Richey
451255, Taisir_Al-Jassim
313020, University_of_Washington
297532, Washington_(state)
src, edge_attr, dst
412337, hometown, 116951
412337, hometown, 297532
289539, birthPlace, 116951
289539, position, 236148
232841, birthPlace, 116951
232841, birthPlace, 297532
232841, position, 236148
303960, birthPlace, 116951
303960, position, 236148
354796, birthPlace, 116951
354796, birthPlace, 297532
354796, position, 236148
205052, birthPlace, 297532
205052, position, 236148
414993, birthPlace, 116951
414993, position, 236148
453032, birthPlace, 116951
453032, position, 236148
159217, birthPlace, 116951
159217, position, 236148
226497, birthPlace, 116951
226497, position, 236148
40874, birthPlace, 116951
40874, position, 236148
304592, birthPlace, 116951
304592, birthPlace, 297532
304592, position, 236148
437772, location, 116951
437772, location, 297532
101669, birthPlace, 297532
101669, position, 236148
428785, birthPlace, 116951
428785, birthPlace, 297532
428785, position, 236148
83775, birthPlace, 116951
83775, position, 236148
320920, birthPlace, 116951
320920, position, 236148
116951, isPartOf, 297532
385222, city, 116951
385222, state, 297532
300014, birthPlace, 116951
300014, birthPlace, 297532
451255, position, 236148
313020, city, 116951
313020, state, 297532
297532, largestCity, 116951
Question: How are Alice_N'_Chains and Taisir_Al-Jassim related?
Your output must be ONLY the PATH block.
| graph_path | {
"style": "rule"
} | {
"entities": [
"Alice_N'_Chains",
"Taisir_Al-Jassim"
],
"valid_edges": [
[
"Alice_N'_Chains",
"hometown",
"Seattle"
],
[
"Alice_N'_Chains",
"hometown",
"Washington_(state)"
],
[
"Andy_Schmetzer",
"birthPlace",
"Seattle"
],
[
"Andy_Schmetzer",
"position",
"Midfielder"
],
[
"Anthony_Hudson_(footballer)",
"birthPlace",
"Seattle"
],
[
"Anthony_Hudson_(footballer)",
"birthPlace",
"Washington_(state)"
],
[
"Anthony_Hudson_(footballer)",
"position",
"Midfielder"
],
[
"Bob_Ramsey_(soccer)",
"birthPlace",
"Seattle"
],
[
"Bob_Ramsey_(soccer)",
"position",
"Midfielder"
],
[
"Brian_Schmetzer",
"birthPlace",
"Seattle"
],
[
"Brian_Schmetzer",
"birthPlace",
"Washington_(state)"
],
[
"Brian_Schmetzer",
"position",
"Midfielder"
],
[
"Dale_Mulholland",
"birthPlace",
"Washington_(state)"
],
[
"Dale_Mulholland",
"position",
"Midfielder"
],
[
"Darren_Sawatzky",
"birthPlace",
"Seattle"
],
[
"Darren_Sawatzky",
"position",
"Midfielder"
],
[
"Dick_McCormick",
"birthPlace",
"Seattle"
],
[
"Dick_McCormick",
"position",
"Midfielder"
],
[
"Eddie_Henderson_(soccer)",
"birthPlace",
"Seattle"
],
[
"Eddie_Henderson_(soccer)",
"position",
"Midfielder"
],
[
"Jason_Farrell",
"birthPlace",
"Seattle"
],
[
"Jason_Farrell",
"position",
"Midfielder"
],
[
"Kevin_Forrest",
"birthPlace",
"Seattle"
],
[
"Kevin_Forrest",
"position",
"Midfielder"
],
[
"Kimberly_Yokers",
"birthPlace",
"Seattle"
],
[
"Kimberly_Yokers",
"birthPlace",
"Washington_(state)"
],
[
"Kimberly_Yokers",
"position",
"Midfielder"
],
[
"Memorial_Stadium_(Seattle)",
"location",
"Seattle"
],
[
"Memorial_Stadium_(Seattle)",
"location",
"Washington_(state)"
],
[
"Michelle_French",
"birthPlace",
"Washington_(state)"
],
[
"Michelle_French",
"position",
"Midfielder"
],
[
"Paul_Holocher",
"birthPlace",
"Seattle"
],
[
"Paul_Holocher",
"birthPlace",
"Washington_(state)"
],
[
"Paul_Holocher",
"position",
"Midfielder"
],
[
"Peter_Hattrup",
"birthPlace",
"Seattle"
],
[
"Peter_Hattrup",
"position",
"Midfielder"
],
[
"Ricci_Greenwood",
"birthPlace",
"Seattle"
],
[
"Ricci_Greenwood",
"position",
"Midfielder"
],
[
"Seattle",
"isPartOf",
"Washington_(state)"
],
[
"Seattle_Pacific_University",
"city",
"Seattle"
],
[
"Seattle_Pacific_University",
"state",
"Washington_(state)"
],
[
"Spencer_Richey",
"birthPlace",
"Seattle"
],
[
"Spencer_Richey",
"birthPlace",
"Washington_(state)"
],
[
"Taisir_Al-Jassim",
"position",
"Midfielder"
],
[
"University_of_Washington",
"city",
"Seattle"
],
[
"University_of_Washington",
"state",
"Washington_(state)"
],
[
"Washington_(state)",
"largestCity",
"Seattle"
]
],
"ground_truth": [],
"gt_cost": null
} |
dbpedia500 |
You are given a directed graph as two CSV-like sections in this order:
1) Node table (header included):
node_id, node_attr
2) Edge table (header included):
src, edge_attr, dst
Task
- Use ONLY edges from the Edge table to answer the question by outputting a path.
- When printing each edge, replace IDs with the exact node_attr from the Node table.
- Output MUST be text triples, not numeric IDs.
Output format (STRICT — no extra text):
PATH:
("subject"|predicate|"object")
...
END
Rules
- Use only listed edges; do NOT invent edges.
- Map IDs → node_attr; preserve node_attr exactly.
- Output NOTHING outside the PATH block.
- If no path exists, output exactly:
PATH:
END
Graph:
node_id, node_attr
81356, Cheltenham
299434, Melbourne
293910, Moose_Toys
110172, Pez_(musician)
190876, Richard_Loncraine
src, edge_attr, dst
293910, location, 81356
293910, locationCity, 299434
110172, hometown, 299434
190876, birthPlace, 81356
Question: How are Pez_(musician) and Richard_Loncraine related?
Your output must be ONLY the PATH block.
| graph_path | {
"style": "rule"
} | {
"entities": [
"Pez_(musician)",
"Richard_Loncraine"
],
"valid_edges": [
[
"Moose_Toys",
"location",
"Cheltenham"
],
[
"Moose_Toys",
"locationCity",
"Melbourne"
],
[
"Pez_(musician)",
"hometown",
"Melbourne"
],
[
"Richard_Loncraine",
"birthPlace",
"Cheltenham"
]
],
"ground_truth": [],
"gt_cost": null
} |
dbpedia500 |
You are given a directed graph as two CSV-like sections in this order:
1) Node table (header included):
node_id, node_attr
2) Edge table (header included):
src, edge_attr, dst
Task
- Use ONLY edges from the Edge table to answer the question by outputting a path.
- When printing each edge, replace IDs with the exact node_attr from the Node table.
- Output MUST be text triples, not numeric IDs.
Output format (STRICT — no extra text):
PATH:
("subject"|predicate|"object")
...
END
Rules
- Use only listed edges; do NOT invent edges.
- Map IDs → node_attr; preserve node_attr exactly.
- Output NOTHING outside the PATH block.
- If no path exists, output exactly:
PATH:
END
Graph:
node_id, node_attr
112917, Angelo_Francesco_Lavagnino
244781, Cuiabá_Esporte_Clube
217889, Delfino_Pescara_1936
141885, Douglas_Packer
282807, Italy
298607, Ravenna_F.C.
src, edge_attr, dst
112917, nationality, 282807
217889, ground, 282807
141885, team, 244781
141885, team, 217889
141885, team, 298607
298607, ground, 282807
Question: For what reason are Angelo_Francesco_Lavagnino and Cuiabá_Esporte_Clube associated?
Your output must be ONLY the PATH block.
| graph_path | {
"style": "rule"
} | {
"entities": [
"Angelo_Francesco_Lavagnino",
"Cuiabá_Esporte_Clube"
],
"valid_edges": [
[
"Angelo_Francesco_Lavagnino",
"nationality",
"Italy"
],
[
"Delfino_Pescara_1936",
"ground",
"Italy"
],
[
"Douglas_Packer",
"team",
"Cuiabá_Esporte_Clube"
],
[
"Douglas_Packer",
"team",
"Delfino_Pescara_1936"
],
[
"Douglas_Packer",
"team",
"Ravenna_F.C."
],
[
"Ravenna_F.C.",
"ground",
"Italy"
]
],
"ground_truth": [],
"gt_cost": null
} |
dbpedia500 |
You are given a directed graph as two CSV-like sections in this order:
1) Node table (header included):
node_id, node_attr
2) Edge table (header included):
src, edge_attr, dst
Task
- Use ONLY edges from the Edge table to answer the question by outputting a path.
- When printing each edge, replace IDs with the exact node_attr from the Node table.
- Output MUST be text triples, not numeric IDs.
Output format (STRICT — no extra text):
PATH:
("subject"|predicate|"object")
...
END
Rules
- Use only listed edges; do NOT invent edges.
- Map IDs → node_attr; preserve node_attr exactly.
- Output NOTHING outside the PATH block.
- If no path exists, output exactly:
PATH:
END
Graph:
node_id, node_attr
322095, Animal
333768, Charles_Sutherland_Elton
141260, Petauridae
31547, Philip_Donoghue
485974, The_Local_Radio_Company
388731, United_Kingdom
src, edge_attr, dst
333768, field, 322095
333768, nationality, 388731
141260, kingdom, 322095
31547, field, 322095
31547, nationality, 388731
485974, location, 388731
Question: How are Petauridae and The_Local_Radio_Company related?
Your output must be ONLY the PATH block.
| graph_path | {
"style": "rule"
} | {
"entities": [
"Petauridae",
"The_Local_Radio_Company"
],
"valid_edges": [
[
"Charles_Sutherland_Elton",
"field",
"Animal"
],
[
"Charles_Sutherland_Elton",
"nationality",
"United_Kingdom"
],
[
"Petauridae",
"kingdom",
"Animal"
],
[
"Philip_Donoghue",
"field",
"Animal"
],
[
"Philip_Donoghue",
"nationality",
"United_Kingdom"
],
[
"The_Local_Radio_Company",
"location",
"United_Kingdom"
]
],
"ground_truth": [],
"gt_cost": null
} |
dbpedia500 |
You are given a directed graph as two CSV-like sections in this order:
1) Node table (header included):
node_id, node_attr
2) Edge table (header included):
src, edge_attr, dst
Task
- Use ONLY edges from the Edge table to answer the question by outputting a path.
- When printing each edge, replace IDs with the exact node_attr from the Node table.
- Output MUST be text triples, not numeric IDs.
Output format (STRICT — no extra text):
PATH:
("subject"|predicate|"object")
...
END
Rules
- Use only listed edges; do NOT invent edges.
- Map IDs → node_attr; preserve node_attr exactly.
- Output NOTHING outside the PATH block.
- If no path exists, output exactly:
PATH:
END
Graph:
node_id, node_attr
183222, Eddie_Mooney
47751, Kenny_Aronoff
353941, Rock_music
363899, Stoke-on-Trent
414386, Tom_Pope
src, edge_attr, dst
183222, birthPlace, 363899
183222, genre, 353941
47751, genre, 353941
414386, birthPlace, 363899
Question: For what reason are Kenny_Aronoff and Tom_Pope associated?
Your output must be ONLY the PATH block.
| graph_path | {
"style": "rule"
} | {
"entities": [
"Kenny_Aronoff",
"Tom_Pope"
],
"valid_edges": [
[
"Eddie_Mooney",
"birthPlace",
"Stoke-on-Trent"
],
[
"Eddie_Mooney",
"genre",
"Rock_music"
],
[
"Kenny_Aronoff",
"genre",
"Rock_music"
],
[
"Tom_Pope",
"birthPlace",
"Stoke-on-Trent"
]
],
"ground_truth": [],
"gt_cost": null
} |
dbpedia500 |
You are given a directed graph as two CSV-like sections in this order:
1) Node table (header included):
node_id, node_attr
2) Edge table (header included):
src, edge_attr, dst
Task
- Use ONLY edges from the Edge table to answer the question by outputting a path.
- When printing each edge, replace IDs with the exact node_attr from the Node table.
- Output MUST be text triples, not numeric IDs.
Output format (STRICT — no extra text):
PATH:
("subject"|predicate|"object")
...
END
Rules
- Use only listed edges; do NOT invent edges.
- Map IDs → node_attr; preserve node_attr exactly.
- Output NOTHING outside the PATH block.
- If no path exists, output exactly:
PATH:
END
Graph:
node_id, node_attr
157653, A.C._Reggiana_1919
209281, Djurgårdens_IF_Fotboll
42716, Oladipupo_Martins
132577, Philip_Hellquist
5154, Pierluigi_Di_Già
353253, Prince_Ikpe_Ekong
859, Wolfsberger_AC
src, edge_attr, dst
42716, team, 157653
42716, team, 859
132577, team, 209281
132577, team, 859
5154, team, 157653
353253, team, 157653
353253, team, 209281
Question: In what context are Philip_Hellquist and Pierluigi_Di_Già connected?
Your output must be ONLY the PATH block.
| graph_path | {
"style": "rule"
} | {
"entities": [
"Philip_Hellquist",
"Pierluigi_Di_Già"
],
"valid_edges": [
[
"Oladipupo_Martins",
"team",
"A.C._Reggiana_1919"
],
[
"Oladipupo_Martins",
"team",
"Wolfsberger_AC"
],
[
"Philip_Hellquist",
"team",
"Djurgårdens_IF_Fotboll"
],
[
"Philip_Hellquist",
"team",
"Wolfsberger_AC"
],
[
"Pierluigi_Di_Già",
"team",
"A.C._Reggiana_1919"
],
[
"Prince_Ikpe_Ekong",
"team",
"A.C._Reggiana_1919"
],
[
"Prince_Ikpe_Ekong",
"team",
"Djurgårdens_IF_Fotboll"
]
],
"ground_truth": [],
"gt_cost": null
} |
dbpedia500 |
You are given a directed graph as two CSV-like sections in this order:
1) Node table (header included):
node_id, node_attr
2) Edge table (header included):
src, edge_attr, dst
Task
- Use ONLY edges from the Edge table to answer the question by outputting a path.
- When printing each edge, replace IDs with the exact node_attr from the Node table.
- Output MUST be text triples, not numeric IDs.
Output format (STRICT — no extra text):
PATH:
("subject"|predicate|"object")
...
END
Rules
- Use only listed edges; do NOT invent edges.
- Map IDs → node_attr; preserve node_attr exactly.
- Output NOTHING outside the PATH block.
- If no path exists, output exactly:
PATH:
END
Graph:
node_id, node_attr
452180, Adlène_Guedioura
385849, Ahmed_Oudjani
111355, Algeria_national_football_team
8849, Fathi_Chebal
342169, Karim_Ziani
116166, Lucien_Leduc
107585, Malek_Aït_Alia
101143, Rabah_Madjer
103101, Racing_Club_de_France_football_Colombes_92
354173, Raïs_M'Bolhi
466181, Rodolphe_Hiden
257006, Sofiane_Daoud
src, edge_attr, dst
452180, team, 111355
452180, team, 103101
385849, team, 111355
385849, team, 103101
8849, team, 111355
8849, team, 103101
342169, team, 111355
342169, team, 103101
116166, managerClub, 111355
116166, team, 103101
107585, team, 111355
107585, team, 103101
101143, managerClub, 111355
101143, team, 111355
101143, team, 103101
354173, team, 111355
354173, team, 103101
466181, team, 103101
257006, team, 111355
Question: How are Rodolphe_Hiden and Sofiane_Daoud related?
Your output must be ONLY the PATH block.
| graph_path | {
"style": "rule"
} | {
"entities": [
"Rodolphe_Hiden",
"Sofiane_Daoud"
],
"valid_edges": [
[
"Adlène_Guedioura",
"team",
"Algeria_national_football_team"
],
[
"Adlène_Guedioura",
"team",
"Racing_Club_de_France_football_Colombes_92"
],
[
"Ahmed_Oudjani",
"team",
"Algeria_national_football_team"
],
[
"Ahmed_Oudjani",
"team",
"Racing_Club_de_France_football_Colombes_92"
],
[
"Fathi_Chebal",
"team",
"Algeria_national_football_team"
],
[
"Fathi_Chebal",
"team",
"Racing_Club_de_France_football_Colombes_92"
],
[
"Karim_Ziani",
"team",
"Algeria_national_football_team"
],
[
"Karim_Ziani",
"team",
"Racing_Club_de_France_football_Colombes_92"
],
[
"Lucien_Leduc",
"managerClub",
"Algeria_national_football_team"
],
[
"Lucien_Leduc",
"team",
"Racing_Club_de_France_football_Colombes_92"
],
[
"Malek_Aït_Alia",
"team",
"Algeria_national_football_team"
],
[
"Malek_Aït_Alia",
"team",
"Racing_Club_de_France_football_Colombes_92"
],
[
"Rabah_Madjer",
"managerClub",
"Algeria_national_football_team"
],
[
"Rabah_Madjer",
"team",
"Algeria_national_football_team"
],
[
"Rabah_Madjer",
"team",
"Racing_Club_de_France_football_Colombes_92"
],
[
"Raïs_M'Bolhi",
"team",
"Algeria_national_football_team"
],
[
"Raïs_M'Bolhi",
"team",
"Racing_Club_de_France_football_Colombes_92"
],
[
"Rodolphe_Hiden",
"team",
"Racing_Club_de_France_football_Colombes_92"
],
[
"Sofiane_Daoud",
"team",
"Algeria_national_football_team"
]
],
"ground_truth": [],
"gt_cost": null
} |
dbpedia500 |
You are given a directed graph as two CSV-like sections in this order:
1) Node table (header included):
node_id, node_attr
2) Edge table (header included):
src, edge_attr, dst
Task
- Use ONLY edges from the Edge table to answer the question by outputting a path.
- When printing each edge, replace IDs with the exact node_attr from the Node table.
- Output MUST be text triples, not numeric IDs.
Output format (STRICT — no extra text):
PATH:
("subject"|predicate|"object")
...
END
Rules
- Use only listed edges; do NOT invent edges.
- Map IDs → node_attr; preserve node_attr exactly.
- Output NOTHING outside the PATH block.
- If no path exists, output exactly:
PATH:
END
Graph:
node_id, node_attr
169206, 11Eleven_Project
432921, Abbas_Duzduzani
361964, Ahmad_Madani
483340, Ali_Khademhosseini
364575, Anousheh_Ansari
55039, Arabs
103553, Armenians
354256, Azerbaijanis
252236, Be_Like_Others
245376, Behrouz_Vossoughi
240004, Bijan_(designer)
12492, Bob_Yari
153097, Circassians
235113, East_Azerbaijan_Province
186194, Esmaiel_Jabbari
474680, Firouz_Partovi
172131, Georgian_language
91064, Hamid_R._Moghadam
488491, Hazhir_Rahmandad
332000, Helly_Luv
309133, Homa_Rousta
430716, Iran
363727, Iran_Standard_Time
376780, Jafar_Sharif-Emami
213969, John_Henry_Wright
105122, Kamran_Eshraghian
115405, Karim_Sanjabi
151004, Leila_Bela
205641, Leila_Kasra
374509, Majid_Pishyar
486972, Mandaic_language
87945, Maryam_Mirzakhani
197610, Massoud_Pedram
441218, Merooj
138792, Mohammad_Nahavandian
119351, Nasser_Yeganeh
449591, Navid_Khonsari
143574, Neil_Kadisha
441013, Niyaz
381434, Nutkani
2741, Parviz_Moin
343102, Pashtun_diaspora
164566, Pashtuns
279399, Persian_Jews
34761, Persian_people
88266, Rambler_American
351340, Riki_Lindhome
44811, Roya_Hakakian
383590, Sain_Rural_District
73372, Sam_Nazarian
242953, Shahin_&_Sepehr
112003, Susan_(Iranian_singer)
29837, Tabriz
57721, Tabriz_County
165557, The_Iron_Sheik
91422, The_Snow_Queen_(2012_film)
39545, United_States
43021, Viguen
59298, Zabihollah_Rezaee
src, edge_attr, dst
169206, country, 430716
169206, country, 39545
432921, birthPlace, 235113
432921, country, 430716
432921, nationality, 430716
361964, birthPlace, 430716
361964, deathPlace, 39545
483340, birthPlace, 430716
483340, nationality, 430716
483340, residence, 39545
364575, birthPlace, 430716
364575, nationality, 430716
364575, nationality, 39545
364575, stateOfOrigin, 430716
364575, stateOfOrigin, 39545
55039, populationPlace, 430716
55039, populationPlace, 39545
103553, populationPlace, 430716
103553, populationPlace, 39545
354256, populationPlace, 430716
354256, populationPlace, 39545
252236, country, 430716
252236, country, 39545
245376, birthPlace, 430716
245376, residence, 39545
240004, birthPlace, 430716
240004, deathPlace, 39545
240004, nationality, 430716
12492, birthPlace, 430716
12492, citizenship, 39545
153097, populationPlace, 430716
153097, populationPlace, 39545
235113, country, 430716
235113, timeZone, 363727
186194, birthPlace, 430716
186194, nationality, 430716
186194, residence, 39545
474680, birthPlace, 430716
474680, citizenship, 430716
474680, citizenship, 39545
474680, nationality, 430716
172131, spokenIn, 430716
172131, spokenIn, 39545
91064, citizenship, 39545
91064, ethnicity, 430716
91064, nationality, 39545
91064, stateOfOrigin, 39545
488491, birthPlace, 430716
488491, nationality, 430716
488491, residence, 39545
332000, birthPlace, 430716
332000, residence, 39545
309133, birthPlace, 430716
309133, deathPlace, 39545
309133, nationality, 430716
309133, stateOfOrigin, 430716
430716, language, 172131
430716, timeZone, 363727
376780, birthPlace, 430716
376780, deathPlace, 39545
213969, birthPlace, 430716
213969, nationality, 39545
213969, stateOfOrigin, 39545
105122, birthPlace, 430716
105122, residence, 39545
115405, birthPlace, 430716
115405, deathPlace, 39545
151004, birthPlace, 430716
151004, hometown, 39545
205641, birthPlace, 430716
205641, deathPlace, 39545
374509, birthPlace, 430716
374509, residence, 39545
486972, spokenIn, 430716
486972, spokenIn, 39545
87945, birthPlace, 430716
87945, residence, 39545
197610, birthPlace, 430716
197610, citizenship, 430716
197610, citizenship, 39545
197610, residence, 39545
441218, location, 430716
441218, location, 39545
138792, birthPlace, 430716
138792, residence, 430716
138792, residence, 39545
119351, birthPlace, 430716
119351, deathPlace, 39545
449591, citizenship, 430716
449591, residence, 39545
143574, birthPlace, 430716
143574, nationality, 430716
143574, nationality, 39545
143574, stateOfOrigin, 430716
143574, stateOfOrigin, 39545
441013, hometown, 430716
441013, hometown, 39545
381434, populationPlace, 430716
381434, populationPlace, 39545
2741, birthPlace, 430716
2741, nationality, 39545
343102, populationPlace, 430716
343102, populationPlace, 39545
164566, populationPlace, 430716
164566, populationPlace, 39545
279399, populationPlace, 430716
279399, populationPlace, 39545
34761, populationPlace, 430716
34761, populationPlace, 39545
88266, assembly, 430716
88266, assembly, 39545
351340, birthPlace, 39545
44811, birthPlace, 430716
44811, citizenship, 39545
383590, country, 430716
383590, isPartOf, 235113
73372, birthPlace, 430716
73372, citizenship, 39545
242953, birthPlace, 430716
242953, hometown, 39545
112003, birthPlace, 430716
112003, deathPlace, 39545
29837, country, 430716
29837, isPartOf, 235113
57721, country, 430716
57721, isPartOf, 235113
165557, billed, 430716
165557, birthPlace, 430716
165557, residence, 39545
91422, country, 430716
91422, country, 39545
43021, birthPlace, 430716
43021, deathPlace, 39545
59298, birthPlace, 430716
59298, nationality, 39545
Question: How are Riki_Lindhome and Sain_Rural_District related?
Your output must be ONLY the PATH block.
| graph_path | {
"style": "rule"
} | {
"entities": [
"Riki_Lindhome",
"Sain_Rural_District"
],
"valid_edges": [
[
"11Eleven_Project",
"country",
"Iran"
],
[
"11Eleven_Project",
"country",
"United_States"
],
[
"Abbas_Duzduzani",
"birthPlace",
"East_Azerbaijan_Province"
],
[
"Abbas_Duzduzani",
"country",
"Iran"
],
[
"Abbas_Duzduzani",
"nationality",
"Iran"
],
[
"Ahmad_Madani",
"birthPlace",
"Iran"
],
[
"Ahmad_Madani",
"deathPlace",
"United_States"
],
[
"Ali_Khademhosseini",
"birthPlace",
"Iran"
],
[
"Ali_Khademhosseini",
"nationality",
"Iran"
],
[
"Ali_Khademhosseini",
"residence",
"United_States"
],
[
"Anousheh_Ansari",
"birthPlace",
"Iran"
],
[
"Anousheh_Ansari",
"nationality",
"Iran"
],
[
"Anousheh_Ansari",
"nationality",
"United_States"
],
[
"Anousheh_Ansari",
"stateOfOrigin",
"Iran"
],
[
"Anousheh_Ansari",
"stateOfOrigin",
"United_States"
],
[
"Arabs",
"populationPlace",
"Iran"
],
[
"Arabs",
"populationPlace",
"United_States"
],
[
"Armenians",
"populationPlace",
"Iran"
],
[
"Armenians",
"populationPlace",
"United_States"
],
[
"Azerbaijanis",
"populationPlace",
"Iran"
],
[
"Azerbaijanis",
"populationPlace",
"United_States"
],
[
"Be_Like_Others",
"country",
"Iran"
],
[
"Be_Like_Others",
"country",
"United_States"
],
[
"Behrouz_Vossoughi",
"birthPlace",
"Iran"
],
[
"Behrouz_Vossoughi",
"residence",
"United_States"
],
[
"Bijan_(designer)",
"birthPlace",
"Iran"
],
[
"Bijan_(designer)",
"deathPlace",
"United_States"
],
[
"Bijan_(designer)",
"nationality",
"Iran"
],
[
"Bob_Yari",
"birthPlace",
"Iran"
],
[
"Bob_Yari",
"citizenship",
"United_States"
],
[
"Circassians",
"populationPlace",
"Iran"
],
[
"Circassians",
"populationPlace",
"United_States"
],
[
"East_Azerbaijan_Province",
"country",
"Iran"
],
[
"East_Azerbaijan_Province",
"timeZone",
"Iran_Standard_Time"
],
[
"Esmaiel_Jabbari",
"birthPlace",
"Iran"
],
[
"Esmaiel_Jabbari",
"nationality",
"Iran"
],
[
"Esmaiel_Jabbari",
"residence",
"United_States"
],
[
"Firouz_Partovi",
"birthPlace",
"Iran"
],
[
"Firouz_Partovi",
"citizenship",
"Iran"
],
[
"Firouz_Partovi",
"citizenship",
"United_States"
],
[
"Firouz_Partovi",
"nationality",
"Iran"
],
[
"Georgian_language",
"spokenIn",
"Iran"
],
[
"Georgian_language",
"spokenIn",
"United_States"
],
[
"Hamid_R._Moghadam",
"citizenship",
"United_States"
],
[
"Hamid_R._Moghadam",
"ethnicity",
"Iran"
],
[
"Hamid_R._Moghadam",
"nationality",
"United_States"
],
[
"Hamid_R._Moghadam",
"stateOfOrigin",
"United_States"
],
[
"Hazhir_Rahmandad",
"birthPlace",
"Iran"
],
[
"Hazhir_Rahmandad",
"nationality",
"Iran"
],
[
"Hazhir_Rahmandad",
"residence",
"United_States"
],
[
"Helly_Luv",
"birthPlace",
"Iran"
],
[
"Helly_Luv",
"residence",
"United_States"
],
[
"Homa_Rousta",
"birthPlace",
"Iran"
],
[
"Homa_Rousta",
"deathPlace",
"United_States"
],
[
"Homa_Rousta",
"nationality",
"Iran"
],
[
"Homa_Rousta",
"stateOfOrigin",
"Iran"
],
[
"Iran",
"language",
"Georgian_language"
],
[
"Iran",
"timeZone",
"Iran_Standard_Time"
],
[
"Jafar_Sharif-Emami",
"birthPlace",
"Iran"
],
[
"Jafar_Sharif-Emami",
"deathPlace",
"United_States"
],
[
"John_Henry_Wright",
"birthPlace",
"Iran"
],
[
"John_Henry_Wright",
"nationality",
"United_States"
],
[
"John_Henry_Wright",
"stateOfOrigin",
"United_States"
],
[
"Kamran_Eshraghian",
"birthPlace",
"Iran"
],
[
"Kamran_Eshraghian",
"residence",
"United_States"
],
[
"Karim_Sanjabi",
"birthPlace",
"Iran"
],
[
"Karim_Sanjabi",
"deathPlace",
"United_States"
],
[
"Leila_Bela",
"birthPlace",
"Iran"
],
[
"Leila_Bela",
"hometown",
"United_States"
],
[
"Leila_Kasra",
"birthPlace",
"Iran"
],
[
"Leila_Kasra",
"deathPlace",
"United_States"
],
[
"Majid_Pishyar",
"birthPlace",
"Iran"
],
[
"Majid_Pishyar",
"residence",
"United_States"
],
[
"Mandaic_language",
"spokenIn",
"Iran"
],
[
"Mandaic_language",
"spokenIn",
"United_States"
],
[
"Maryam_Mirzakhani",
"birthPlace",
"Iran"
],
[
"Maryam_Mirzakhani",
"residence",
"United_States"
],
[
"Massoud_Pedram",
"birthPlace",
"Iran"
],
[
"Massoud_Pedram",
"citizenship",
"Iran"
],
[
"Massoud_Pedram",
"citizenship",
"United_States"
],
[
"Massoud_Pedram",
"residence",
"United_States"
],
[
"Merooj",
"location",
"Iran"
],
[
"Merooj",
"location",
"United_States"
],
[
"Mohammad_Nahavandian",
"birthPlace",
"Iran"
],
[
"Mohammad_Nahavandian",
"residence",
"Iran"
],
[
"Mohammad_Nahavandian",
"residence",
"United_States"
],
[
"Nasser_Yeganeh",
"birthPlace",
"Iran"
],
[
"Nasser_Yeganeh",
"deathPlace",
"United_States"
],
[
"Navid_Khonsari",
"citizenship",
"Iran"
],
[
"Navid_Khonsari",
"residence",
"United_States"
],
[
"Neil_Kadisha",
"birthPlace",
"Iran"
],
[
"Neil_Kadisha",
"nationality",
"Iran"
],
[
"Neil_Kadisha",
"nationality",
"United_States"
],
[
"Neil_Kadisha",
"stateOfOrigin",
"Iran"
],
[
"Neil_Kadisha",
"stateOfOrigin",
"United_States"
],
[
"Niyaz",
"hometown",
"Iran"
],
[
"Niyaz",
"hometown",
"United_States"
],
[
"Nutkani",
"populationPlace",
"Iran"
],
[
"Nutkani",
"populationPlace",
"United_States"
],
[
"Parviz_Moin",
"birthPlace",
"Iran"
],
[
"Parviz_Moin",
"nationality",
"United_States"
],
[
"Pashtun_diaspora",
"populationPlace",
"Iran"
],
[
"Pashtun_diaspora",
"populationPlace",
"United_States"
],
[
"Pashtuns",
"populationPlace",
"Iran"
],
[
"Pashtuns",
"populationPlace",
"United_States"
],
[
"Persian_Jews",
"populationPlace",
"Iran"
],
[
"Persian_Jews",
"populationPlace",
"United_States"
],
[
"Persian_people",
"populationPlace",
"Iran"
],
[
"Persian_people",
"populationPlace",
"United_States"
],
[
"Rambler_American",
"assembly",
"Iran"
],
[
"Rambler_American",
"assembly",
"United_States"
],
[
"Riki_Lindhome",
"birthPlace",
"United_States"
],
[
"Roya_Hakakian",
"birthPlace",
"Iran"
],
[
"Roya_Hakakian",
"citizenship",
"United_States"
],
[
"Sain_Rural_District",
"country",
"Iran"
],
[
"Sain_Rural_District",
"isPartOf",
"East_Azerbaijan_Province"
],
[
"Sam_Nazarian",
"birthPlace",
"Iran"
],
[
"Sam_Nazarian",
"citizenship",
"United_States"
],
[
"Shahin_&_Sepehr",
"birthPlace",
"Iran"
],
[
"Shahin_&_Sepehr",
"hometown",
"United_States"
],
[
"Susan_(Iranian_singer)",
"birthPlace",
"Iran"
],
[
"Susan_(Iranian_singer)",
"deathPlace",
"United_States"
],
[
"Tabriz",
"country",
"Iran"
],
[
"Tabriz",
"isPartOf",
"East_Azerbaijan_Province"
],
[
"Tabriz_County",
"country",
"Iran"
],
[
"Tabriz_County",
"isPartOf",
"East_Azerbaijan_Province"
],
[
"The_Iron_Sheik",
"billed",
"Iran"
],
[
"The_Iron_Sheik",
"birthPlace",
"Iran"
],
[
"The_Iron_Sheik",
"residence",
"United_States"
],
[
"The_Snow_Queen_(2012_film)",
"country",
"Iran"
],
[
"The_Snow_Queen_(2012_film)",
"country",
"United_States"
],
[
"Viguen",
"birthPlace",
"Iran"
],
[
"Viguen",
"deathPlace",
"United_States"
],
[
"Zabihollah_Rezaee",
"birthPlace",
"Iran"
],
[
"Zabihollah_Rezaee",
"nationality",
"United_States"
]
],
"ground_truth": [],
"gt_cost": null
} |
dbpedia500 |
You are given a directed graph as two CSV-like sections in this order:
1) Node table (header included):
node_id, node_attr
2) Edge table (header included):
src, edge_attr, dst
Task
- Use ONLY edges from the Edge table to answer the question by outputting a path.
- When printing each edge, replace IDs with the exact node_attr from the Node table.
- Output MUST be text triples, not numeric IDs.
Output format (STRICT — no extra text):
PATH:
("subject"|predicate|"object")
...
END
Rules
- Use only listed edges; do NOT invent edges.
- Map IDs → node_attr; preserve node_attr exactly.
- Output NOTHING outside the PATH block.
- If no path exists, output exactly:
PATH:
END
Graph:
node_id, node_attr
114824, Barry_Stout
180387, Cambria_County,_Pennsylvania
76394, Dunav_osiguranje
150294, Episcopal_Diocese_of_Pittsburgh
177916, Fayette_County,_Pennsylvania
65232, Financial_services
488097, James_Shaner
341004, Leona_Telek
304998, Roman_Catholic_Diocese_of_Altoona–Johnstown
87581, Somerset_County,_Pennsylvania
38209, Somerset_Trust_Company
136953, Westmoreland_County,_Pennsylvania
116328, William_Telek
src, edge_attr, dst
114824, region, 177916
114824, region, 136953
76394, industry, 65232
150294, territory, 180387
150294, territory, 177916
150294, territory, 87581
150294, territory, 136953
488097, region, 177916
488097, region, 136953
341004, region, 180387
341004, region, 87581
304998, territory, 180387
304998, territory, 87581
38209, regionServed, 180387
38209, regionServed, 177916
38209, regionServed, 87581
38209, regionServed, 136953
38209, service, 65232
116328, region, 180387
116328, region, 87581
Question: For what reason are Dunav_osiguranje and Episcopal_Diocese_of_Pittsburgh associated?
Your output must be ONLY the PATH block.
| graph_path | {
"style": "rule"
} | {
"entities": [
"Dunav_osiguranje",
"Episcopal_Diocese_of_Pittsburgh"
],
"valid_edges": [
[
"Barry_Stout",
"region",
"Fayette_County,_Pennsylvania"
],
[
"Barry_Stout",
"region",
"Westmoreland_County,_Pennsylvania"
],
[
"Dunav_osiguranje",
"industry",
"Financial_services"
],
[
"Episcopal_Diocese_of_Pittsburgh",
"territory",
"Cambria_County,_Pennsylvania"
],
[
"Episcopal_Diocese_of_Pittsburgh",
"territory",
"Fayette_County,_Pennsylvania"
],
[
"Episcopal_Diocese_of_Pittsburgh",
"territory",
"Somerset_County,_Pennsylvania"
],
[
"Episcopal_Diocese_of_Pittsburgh",
"territory",
"Westmoreland_County,_Pennsylvania"
],
[
"James_Shaner",
"region",
"Fayette_County,_Pennsylvania"
],
[
"James_Shaner",
"region",
"Westmoreland_County,_Pennsylvania"
],
[
"Leona_Telek",
"region",
"Cambria_County,_Pennsylvania"
],
[
"Leona_Telek",
"region",
"Somerset_County,_Pennsylvania"
],
[
"Roman_Catholic_Diocese_of_Altoona–Johnstown",
"territory",
"Cambria_County,_Pennsylvania"
],
[
"Roman_Catholic_Diocese_of_Altoona–Johnstown",
"territory",
"Somerset_County,_Pennsylvania"
],
[
"Somerset_Trust_Company",
"regionServed",
"Cambria_County,_Pennsylvania"
],
[
"Somerset_Trust_Company",
"regionServed",
"Fayette_County,_Pennsylvania"
],
[
"Somerset_Trust_Company",
"regionServed",
"Somerset_County,_Pennsylvania"
],
[
"Somerset_Trust_Company",
"regionServed",
"Westmoreland_County,_Pennsylvania"
],
[
"Somerset_Trust_Company",
"service",
"Financial_services"
],
[
"William_Telek",
"region",
"Cambria_County,_Pennsylvania"
],
[
"William_Telek",
"region",
"Somerset_County,_Pennsylvania"
]
],
"ground_truth": [],
"gt_cost": null
} |
End of preview. Expand
in Data Studio
- Downloads last month
- 21