data_source stringclasses 1 value | prompt stringlengths 1.02k 14.6k | ability stringclasses 1 value | reward_model dict | extra_info dict |
|---|---|---|---|---|
YAGO |
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
55424, Mira_Nair
57890, National_Film_Awards_(India)
74622, Neena_Gupta
55437, New_York_City
74640, Queens
src, edge_attr, dst
55424, hasWonPrize, 57890
55424, livesIn, 55437
74622, hasWonPrize, 57890
55437, isLocatedIn, 74640
74640, isLocatedIn, 55437
Question: How are Neena_Gupta and Queens related?
Your output must be ONLY the PATH block.
| graph_path | {
"style": "rule"
} | {
"entities": [
"Neena_Gupta",
"Queens"
],
"valid_edges": [
[
"Mira_Nair",
"hasWonPrize",
"National_Film_Awards_(India)"
],
[
"Mira_Nair",
"livesIn",
"New_York_City"
],
[
"Neena_Gupta",
"hasWonPrize",
"National_Film_Awards_(India)"
],
[
"New_York_City",
"isLocatedIn",
"Queens"
],
[
"Queens",
"isLocatedIn",
"New_York_City"
]
],
"ground_truth": [],
"gt_cost": null
} |
YAGO |
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
29113, Alok_Nath
17262, Atul_Agnihotri
89979, Boris_Vukčević
105637, Delhi
107409, Ghalib
102004, Guru_Tegh_Bahadur
98366, Jawaharlal_Nehru
54583, John_Aspinall_(zoo_owner)
68176, Pervez_Musharraf
85499, Priyanshu_Chatterjee
66937, Rahul_Dev
10233, Rahul_Gandhi
78792, Rajat_Kapoor
20403, Ravi_(music_director)
50134, Saif_Ali_Khan
117504, Sam_Pitroda
105750, Shahid_Kapoor
65084, Shakti_Kapoor
33045, Shiney_Ahuja
49493, South_West_Delhi
112083, Syed_Ahmad_Khan
110350, Tariq_Anwar_(film_editor)
41053, V._K._Krishna_Menon
91877, Vinod_Khosla
118104, male
src, edge_attr, dst
29113, hasGender, 118104
29113, wasBornIn, 105637
17262, hasGender, 118104
17262, wasBornIn, 105637
89979, hasGender, 118104
107409, diedIn, 105637
107409, hasGender, 118104
102004, diedIn, 105637
102004, hasGender, 118104
98366, diedIn, 105637
98366, hasGender, 118104
54583, hasGender, 118104
54583, wasBornIn, 105637
68176, hasGender, 118104
68176, wasBornIn, 105637
85499, hasGender, 118104
85499, wasBornIn, 105637
66937, hasGender, 118104
66937, wasBornIn, 105637
10233, hasGender, 118104
10233, wasBornIn, 105637
78792, hasGender, 118104
78792, wasBornIn, 105637
20403, hasGender, 118104
20403, wasBornIn, 105637
50134, hasGender, 118104
50134, wasBornIn, 105637
117504, hasGender, 118104
117504, livesIn, 105637
105750, hasGender, 118104
105750, wasBornIn, 105637
65084, hasGender, 118104
65084, wasBornIn, 105637
33045, hasGender, 118104
33045, wasBornIn, 105637
49493, isLocatedIn, 105637
112083, hasGender, 118104
112083, wasBornIn, 105637
110350, hasGender, 118104
110350, wasBornIn, 105637
41053, diedIn, 105637
41053, hasGender, 118104
91877, hasGender, 118104
91877, wasBornIn, 105637
Question: For what reason are Boris_Vukčević and South_West_Delhi associated?
Your output must be ONLY the PATH block.
| graph_path | {
"style": "rule"
} | {
"entities": [
"Boris_Vukčević",
"South_West_Delhi"
],
"valid_edges": [
[
"Alok_Nath",
"hasGender",
"male"
],
[
"Alok_Nath",
"wasBornIn",
"Delhi"
],
[
"Atul_Agnihotri",
"hasGender",
"male"
],
[
"Atul_Agnihotri",
"wasBornIn",
"Delhi"
],
[
"Boris_Vukčević",
"hasGender",
"male"
],
[
"Ghalib",
"diedIn",
"Delhi"
],
[
"Ghalib",
"hasGender",
"male"
],
[
"Guru_Tegh_Bahadur",
"diedIn",
"Delhi"
],
[
"Guru_Tegh_Bahadur",
"hasGender",
"male"
],
[
"Jawaharlal_Nehru",
"diedIn",
"Delhi"
],
[
"Jawaharlal_Nehru",
"hasGender",
"male"
],
[
"John_Aspinall_(zoo_owner)",
"hasGender",
"male"
],
[
"John_Aspinall_(zoo_owner)",
"wasBornIn",
"Delhi"
],
[
"Pervez_Musharraf",
"hasGender",
"male"
],
[
"Pervez_Musharraf",
"wasBornIn",
"Delhi"
],
[
"Priyanshu_Chatterjee",
"hasGender",
"male"
],
[
"Priyanshu_Chatterjee",
"wasBornIn",
"Delhi"
],
[
"Rahul_Dev",
"hasGender",
"male"
],
[
"Rahul_Dev",
"wasBornIn",
"Delhi"
],
[
"Rahul_Gandhi",
"hasGender",
"male"
],
[
"Rahul_Gandhi",
"wasBornIn",
"Delhi"
],
[
"Rajat_Kapoor",
"hasGender",
"male"
],
[
"Rajat_Kapoor",
"wasBornIn",
"Delhi"
],
[
"Ravi_(music_director)",
"hasGender",
"male"
],
[
"Ravi_(music_director)",
"wasBornIn",
"Delhi"
],
[
"Saif_Ali_Khan",
"hasGender",
"male"
],
[
"Saif_Ali_Khan",
"wasBornIn",
"Delhi"
],
[
"Sam_Pitroda",
"hasGender",
"male"
],
[
"Sam_Pitroda",
"livesIn",
"Delhi"
],
[
"Shahid_Kapoor",
"hasGender",
"male"
],
[
"Shahid_Kapoor",
"wasBornIn",
"Delhi"
],
[
"Shakti_Kapoor",
"hasGender",
"male"
],
[
"Shakti_Kapoor",
"wasBornIn",
"Delhi"
],
[
"Shiney_Ahuja",
"hasGender",
"male"
],
[
"Shiney_Ahuja",
"wasBornIn",
"Delhi"
],
[
"South_West_Delhi",
"isLocatedIn",
"Delhi"
],
[
"Syed_Ahmad_Khan",
"hasGender",
"male"
],
[
"Syed_Ahmad_Khan",
"wasBornIn",
"Delhi"
],
[
"Tariq_Anwar_(film_editor)",
"hasGender",
"male"
],
[
"Tariq_Anwar_(film_editor)",
"wasBornIn",
"Delhi"
],
[
"V._K._Krishna_Menon",
"diedIn",
"Delhi"
],
[
"V._K._Krishna_Menon",
"hasGender",
"male"
],
[
"Vinod_Khosla",
"hasGender",
"male"
],
[
"Vinod_Khosla",
"wasBornIn",
"Delhi"
]
],
"ground_truth": [],
"gt_cost": null
} |
YAGO |
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
14120, Goran_Bošković_(footballer_born_1976)
33832, Jorge_Suárez_Landaverde
118104, male
src, edge_attr, dst
14120, hasGender, 118104
33832, hasGender, 118104
Question: In what context are Goran_Bošković_(footballer_born_1976) and Jorge_Suárez_Landaverde connected?
Your output must be ONLY the PATH block.
| graph_path | {
"style": "rule"
} | {
"entities": [
"Goran_Bošković_(footballer_born_1976)",
"Jorge_Suárez_Landaverde"
],
"valid_edges": [
[
"Goran_Bošković_(footballer_born_1976)",
"hasGender",
"male"
],
[
"Jorge_Suárez_Landaverde",
"hasGender",
"male"
]
],
"ground_truth": [],
"gt_cost": null
} |
YAGO |
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
82383, Afghanistan
106272, Armenia
9789, Asia
18438, Azerbaijan
61394, Bahrain
111723, Bangladesh
99069, Cambodia
45863, China
40404, Chola_dynasty
54589, David_Hume_Kennerly
47476, Egypt
97981, Ernst_G._Straus
51011, Georgia_(country)
89823, India
33806, Indonesia
48811, Iraq
115938, Israel
76792, Japan
23148, Jonathan_Rhys_Meyers
2104, Jordan
25280, Karl_Bühler
98240, Kuwait
108652, Lebanon
16298, Lena_Headey
110262, Los_Angeles
101350, MGM_HD
79493, Malaysia
85530, Maldives
119516, Mirari_Films
115840, Mongolia
56910, Nepal
120481, Nexon_Co._Ltd.
112418, Oman
122711, Operation_Enduring_Freedom
76042, Pacific_War
85860, Pakistan
67223, Pandemic_Studios
84827, Philippines
71114, Qatar
117411, Roland_Emmerich
104670, Saudi_Arabia
29594, Singapore
82590, South_Korea
113520, South_Yemen
7067, Sri_Lanka
66706, Terence_Tao
48370, Thailand
53538, Turkey
76200, United_Arab_Emirates
29157, United_States
19007, United_States_Exploring_Expedition
84438, Vietnam
116232, War_in_Afghanistan_(2001–present)
src, edge_attr, dst
82383, dealsWith, 29157
82383, isLocatedIn, 9789
106272, dealsWith, 29157
106272, isLocatedIn, 9789
18438, dealsWith, 29157
18438, isLocatedIn, 9789
61394, dealsWith, 29157
61394, isLocatedIn, 9789
111723, dealsWith, 29157
111723, isLocatedIn, 9789
99069, dealsWith, 29157
99069, isLocatedIn, 9789
45863, dealsWith, 29157
45863, isLocatedIn, 9789
40404, isLocatedIn, 9789
54589, isCitizenOf, 29157
54589, livesIn, 110262
54589, livesIn, 29157
47476, dealsWith, 29157
47476, isLocatedIn, 9789
97981, diedIn, 110262
97981, isCitizenOf, 29157
97981, livesIn, 29157
51011, dealsWith, 29157
51011, isLocatedIn, 9789
89823, dealsWith, 29157
89823, isLocatedIn, 9789
33806, dealsWith, 29157
33806, isLocatedIn, 9789
48811, dealsWith, 29157
48811, isLocatedIn, 9789
115938, dealsWith, 29157
115938, isLocatedIn, 9789
76792, dealsWith, 29157
76792, isLocatedIn, 9789
23148, livesIn, 110262
23148, livesIn, 29157
2104, dealsWith, 29157
2104, isLocatedIn, 9789
25280, diedIn, 110262
25280, livesIn, 29157
98240, dealsWith, 29157
98240, isLocatedIn, 9789
108652, dealsWith, 29157
108652, isLocatedIn, 9789
16298, livesIn, 110262
16298, livesIn, 29157
110262, isLocatedIn, 29157
101350, isLocatedIn, 110262
101350, isLocatedIn, 29157
79493, dealsWith, 29157
79493, isLocatedIn, 9789
85530, dealsWith, 29157
85530, isLocatedIn, 9789
119516, isLocatedIn, 110262
119516, isLocatedIn, 29157
115840, dealsWith, 29157
115840, isLocatedIn, 9789
56910, dealsWith, 29157
56910, isLocatedIn, 9789
120481, isLocatedIn, 110262
120481, isLocatedIn, 29157
112418, dealsWith, 29157
112418, isLocatedIn, 9789
122711, happenedIn, 9789
76042, happenedIn, 9789
85860, dealsWith, 29157
85860, isLocatedIn, 9789
67223, isLocatedIn, 110262
67223, isLocatedIn, 29157
84827, dealsWith, 29157
84827, isLocatedIn, 9789
71114, dealsWith, 29157
71114, isLocatedIn, 9789
117411, livesIn, 110262
117411, livesIn, 29157
104670, dealsWith, 29157
104670, isLocatedIn, 9789
29594, dealsWith, 29157
29594, isLocatedIn, 9789
82590, dealsWith, 29157
82590, isLocatedIn, 9789
113520, isLocatedIn, 9789
7067, dealsWith, 29157
7067, isLocatedIn, 9789
66706, isCitizenOf, 29157
66706, livesIn, 110262
48370, dealsWith, 29157
48370, isLocatedIn, 9789
53538, dealsWith, 29157
53538, isLocatedIn, 9789
76200, dealsWith, 29157
76200, isLocatedIn, 9789
29157, dealsWith, 45863
29157, dealsWith, 76792
29157, participatedIn, 122711
29157, participatedIn, 76042
29157, participatedIn, 113520
29157, participatedIn, 19007
29157, participatedIn, 116232
19007, happenedIn, 9789
84438, dealsWith, 29157
84438, isLocatedIn, 9789
116232, happenedIn, 9789
Question: For what reason are Chola_dynasty and David_Hume_Kennerly associated?
Your output must be ONLY the PATH block.
| graph_path | {
"style": "rule"
} | {
"entities": [
"Chola_dynasty",
"David_Hume_Kennerly"
],
"valid_edges": [
[
"Afghanistan",
"dealsWith",
"United_States"
],
[
"Afghanistan",
"isLocatedIn",
"Asia"
],
[
"Armenia",
"dealsWith",
"United_States"
],
[
"Armenia",
"isLocatedIn",
"Asia"
],
[
"Azerbaijan",
"dealsWith",
"United_States"
],
[
"Azerbaijan",
"isLocatedIn",
"Asia"
],
[
"Bahrain",
"dealsWith",
"United_States"
],
[
"Bahrain",
"isLocatedIn",
"Asia"
],
[
"Bangladesh",
"dealsWith",
"United_States"
],
[
"Bangladesh",
"isLocatedIn",
"Asia"
],
[
"Cambodia",
"dealsWith",
"United_States"
],
[
"Cambodia",
"isLocatedIn",
"Asia"
],
[
"China",
"dealsWith",
"United_States"
],
[
"China",
"isLocatedIn",
"Asia"
],
[
"Chola_dynasty",
"isLocatedIn",
"Asia"
],
[
"David_Hume_Kennerly",
"isCitizenOf",
"United_States"
],
[
"David_Hume_Kennerly",
"livesIn",
"Los_Angeles"
],
[
"David_Hume_Kennerly",
"livesIn",
"United_States"
],
[
"Egypt",
"dealsWith",
"United_States"
],
[
"Egypt",
"isLocatedIn",
"Asia"
],
[
"Ernst_G._Straus",
"diedIn",
"Los_Angeles"
],
[
"Ernst_G._Straus",
"isCitizenOf",
"United_States"
],
[
"Ernst_G._Straus",
"livesIn",
"United_States"
],
[
"Georgia_(country)",
"dealsWith",
"United_States"
],
[
"Georgia_(country)",
"isLocatedIn",
"Asia"
],
[
"India",
"dealsWith",
"United_States"
],
[
"India",
"isLocatedIn",
"Asia"
],
[
"Indonesia",
"dealsWith",
"United_States"
],
[
"Indonesia",
"isLocatedIn",
"Asia"
],
[
"Iraq",
"dealsWith",
"United_States"
],
[
"Iraq",
"isLocatedIn",
"Asia"
],
[
"Israel",
"dealsWith",
"United_States"
],
[
"Israel",
"isLocatedIn",
"Asia"
],
[
"Japan",
"dealsWith",
"United_States"
],
[
"Japan",
"isLocatedIn",
"Asia"
],
[
"Jonathan_Rhys_Meyers",
"livesIn",
"Los_Angeles"
],
[
"Jonathan_Rhys_Meyers",
"livesIn",
"United_States"
],
[
"Jordan",
"dealsWith",
"United_States"
],
[
"Jordan",
"isLocatedIn",
"Asia"
],
[
"Karl_Bühler",
"diedIn",
"Los_Angeles"
],
[
"Karl_Bühler",
"livesIn",
"United_States"
],
[
"Kuwait",
"dealsWith",
"United_States"
],
[
"Kuwait",
"isLocatedIn",
"Asia"
],
[
"Lebanon",
"dealsWith",
"United_States"
],
[
"Lebanon",
"isLocatedIn",
"Asia"
],
[
"Lena_Headey",
"livesIn",
"Los_Angeles"
],
[
"Lena_Headey",
"livesIn",
"United_States"
],
[
"Los_Angeles",
"isLocatedIn",
"United_States"
],
[
"MGM_HD",
"isLocatedIn",
"Los_Angeles"
],
[
"MGM_HD",
"isLocatedIn",
"United_States"
],
[
"Malaysia",
"dealsWith",
"United_States"
],
[
"Malaysia",
"isLocatedIn",
"Asia"
],
[
"Maldives",
"dealsWith",
"United_States"
],
[
"Maldives",
"isLocatedIn",
"Asia"
],
[
"Mirari_Films",
"isLocatedIn",
"Los_Angeles"
],
[
"Mirari_Films",
"isLocatedIn",
"United_States"
],
[
"Mongolia",
"dealsWith",
"United_States"
],
[
"Mongolia",
"isLocatedIn",
"Asia"
],
[
"Nepal",
"dealsWith",
"United_States"
],
[
"Nepal",
"isLocatedIn",
"Asia"
],
[
"Nexon_Co._Ltd.",
"isLocatedIn",
"Los_Angeles"
],
[
"Nexon_Co._Ltd.",
"isLocatedIn",
"United_States"
],
[
"Oman",
"dealsWith",
"United_States"
],
[
"Oman",
"isLocatedIn",
"Asia"
],
[
"Operation_Enduring_Freedom",
"happenedIn",
"Asia"
],
[
"Pacific_War",
"happenedIn",
"Asia"
],
[
"Pakistan",
"dealsWith",
"United_States"
],
[
"Pakistan",
"isLocatedIn",
"Asia"
],
[
"Pandemic_Studios",
"isLocatedIn",
"Los_Angeles"
],
[
"Pandemic_Studios",
"isLocatedIn",
"United_States"
],
[
"Philippines",
"dealsWith",
"United_States"
],
[
"Philippines",
"isLocatedIn",
"Asia"
],
[
"Qatar",
"dealsWith",
"United_States"
],
[
"Qatar",
"isLocatedIn",
"Asia"
],
[
"Roland_Emmerich",
"livesIn",
"Los_Angeles"
],
[
"Roland_Emmerich",
"livesIn",
"United_States"
],
[
"Saudi_Arabia",
"dealsWith",
"United_States"
],
[
"Saudi_Arabia",
"isLocatedIn",
"Asia"
],
[
"Singapore",
"dealsWith",
"United_States"
],
[
"Singapore",
"isLocatedIn",
"Asia"
],
[
"South_Korea",
"dealsWith",
"United_States"
],
[
"South_Korea",
"isLocatedIn",
"Asia"
],
[
"South_Yemen",
"isLocatedIn",
"Asia"
],
[
"Sri_Lanka",
"dealsWith",
"United_States"
],
[
"Sri_Lanka",
"isLocatedIn",
"Asia"
],
[
"Terence_Tao",
"isCitizenOf",
"United_States"
],
[
"Terence_Tao",
"livesIn",
"Los_Angeles"
],
[
"Thailand",
"dealsWith",
"United_States"
],
[
"Thailand",
"isLocatedIn",
"Asia"
],
[
"Turkey",
"dealsWith",
"United_States"
],
[
"Turkey",
"isLocatedIn",
"Asia"
],
[
"United_Arab_Emirates",
"dealsWith",
"United_States"
],
[
"United_Arab_Emirates",
"isLocatedIn",
"Asia"
],
[
"United_States",
"dealsWith",
"China"
],
[
"United_States",
"dealsWith",
"Japan"
],
[
"United_States",
"participatedIn",
"Operation_Enduring_Freedom"
],
[
"United_States",
"participatedIn",
"Pacific_War"
],
[
"United_States",
"participatedIn",
"South_Yemen"
],
[
"United_States",
"participatedIn",
"United_States_Exploring_Expedition"
],
[
"United_States",
"participatedIn",
"War_in_Afghanistan_(2001–present)"
],
[
"United_States_Exploring_Expedition",
"happenedIn",
"Asia"
],
[
"Vietnam",
"dealsWith",
"United_States"
],
[
"Vietnam",
"isLocatedIn",
"Asia"
],
[
"War_in_Afghanistan_(2001–present)",
"happenedIn",
"Asia"
]
],
"ground_truth": [],
"gt_cost": null
} |
YAGO |
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
25867, Ajou_University
92632, Choi_Min-sik
97713, Ha_Seung-jin
106298, Jeong_Jun-ha
69516, Kim_Byong-joon
92429, Lee_Byung-hun
28406, Lee_Myung-bak
24414, Matthias_Keller
2935, Park_Chung-hee
58327, Rhyu_Si-min
29117, Roh_Moo-hyun
8764, Seungsahn
34518, Song_Kang-ho
82590, South_Korea
119592, Syngman_Rhee
50993, Yoo_Jae-suk
118104, male
src, edge_attr, dst
25867, isLocatedIn, 82590
92632, hasGender, 118104
92632, isCitizenOf, 82590
97713, hasGender, 118104
97713, isCitizenOf, 82590
106298, hasGender, 118104
106298, isCitizenOf, 82590
69516, hasGender, 118104
69516, isPoliticianOf, 82590
92429, hasGender, 118104
92429, isCitizenOf, 82590
28406, hasGender, 118104
28406, isPoliticianOf, 82590
24414, hasGender, 118104
2935, hasGender, 118104
2935, isCitizenOf, 82590
2935, isPoliticianOf, 82590
58327, hasGender, 118104
58327, isPoliticianOf, 82590
58327, livesIn, 82590
29117, hasGender, 118104
29117, isPoliticianOf, 82590
8764, hasGender, 118104
8764, isCitizenOf, 82590
34518, hasGender, 118104
34518, isCitizenOf, 82590
119592, hasGender, 118104
119592, isPoliticianOf, 82590
50993, hasGender, 118104
50993, isCitizenOf, 82590
Question: For what reason are Ajou_University and Matthias_Keller associated?
Your output must be ONLY the PATH block.
| graph_path | {
"style": "rule"
} | {
"entities": [
"Ajou_University",
"Matthias_Keller"
],
"valid_edges": [
[
"Ajou_University",
"isLocatedIn",
"South_Korea"
],
[
"Choi_Min-sik",
"hasGender",
"male"
],
[
"Choi_Min-sik",
"isCitizenOf",
"South_Korea"
],
[
"Ha_Seung-jin",
"hasGender",
"male"
],
[
"Ha_Seung-jin",
"isCitizenOf",
"South_Korea"
],
[
"Jeong_Jun-ha",
"hasGender",
"male"
],
[
"Jeong_Jun-ha",
"isCitizenOf",
"South_Korea"
],
[
"Kim_Byong-joon",
"hasGender",
"male"
],
[
"Kim_Byong-joon",
"isPoliticianOf",
"South_Korea"
],
[
"Lee_Byung-hun",
"hasGender",
"male"
],
[
"Lee_Byung-hun",
"isCitizenOf",
"South_Korea"
],
[
"Lee_Myung-bak",
"hasGender",
"male"
],
[
"Lee_Myung-bak",
"isPoliticianOf",
"South_Korea"
],
[
"Matthias_Keller",
"hasGender",
"male"
],
[
"Park_Chung-hee",
"hasGender",
"male"
],
[
"Park_Chung-hee",
"isCitizenOf",
"South_Korea"
],
[
"Park_Chung-hee",
"isPoliticianOf",
"South_Korea"
],
[
"Rhyu_Si-min",
"hasGender",
"male"
],
[
"Rhyu_Si-min",
"isPoliticianOf",
"South_Korea"
],
[
"Rhyu_Si-min",
"livesIn",
"South_Korea"
],
[
"Roh_Moo-hyun",
"hasGender",
"male"
],
[
"Roh_Moo-hyun",
"isPoliticianOf",
"South_Korea"
],
[
"Seungsahn",
"hasGender",
"male"
],
[
"Seungsahn",
"isCitizenOf",
"South_Korea"
],
[
"Song_Kang-ho",
"hasGender",
"male"
],
[
"Song_Kang-ho",
"isCitizenOf",
"South_Korea"
],
[
"Syngman_Rhee",
"hasGender",
"male"
],
[
"Syngman_Rhee",
"isPoliticianOf",
"South_Korea"
],
[
"Yoo_Jae-suk",
"hasGender",
"male"
],
[
"Yoo_Jae-suk",
"isCitizenOf",
"South_Korea"
]
],
"ground_truth": [],
"gt_cost": null
} |
YAGO |
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
30121, Chennai
61619, Lee_Smith_(editor)
42513, London_Heathrow_Terminal_5
99371, S._V._Ranga_Rao
108918, Sydney
src, edge_attr, dst
61619, wasBornIn, 108918
42513, isConnectedTo, 30121
42513, isConnectedTo, 108918
99371, diedIn, 30121
Question: For what reason are Lee_Smith_(editor) and S._V._Ranga_Rao associated?
Your output must be ONLY the PATH block.
| graph_path | {
"style": "rule"
} | {
"entities": [
"Lee_Smith_(editor)",
"S._V._Ranga_Rao"
],
"valid_edges": [
[
"Lee_Smith_(editor)",
"wasBornIn",
"Sydney"
],
[
"London_Heathrow_Terminal_5",
"isConnectedTo",
"Chennai"
],
[
"London_Heathrow_Terminal_5",
"isConnectedTo",
"Sydney"
],
[
"S._V._Ranga_Rao",
"diedIn",
"Chennai"
]
],
"ground_truth": [],
"gt_cost": null
} |
YAGO |
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
41867, Brad_Winchester
69125, Bradford_Parkinson
31956, Bradley_Whitford
110974, Brother_Ali
117996, Chris_Farley
77710, Chris_Noth
13438, Dane_County,_Wisconsin
64087, Dean_Elliott
122247, Enrique_Santos_Discépolo
57501, Frank_Herbert
52374, George_E._P._Box
54621, Hans_Reese
106596, Hendrik_Wade_Bode
103958, Human_Head_Studios
67492, John_Bardeen
67230, Kevin_Dean_(ice_hockey)
37720, Laurence_Chisholm_Young
54299, Lauriston_Sharp
104153, Madison
95611, Madison,_Wisconsin
116838, Nick_Grinde
117181, Nick_Hexum
25114, Otis_Redding
51695, Patrick_Rothfuss
5337, Raven_Software
79797, Reece_Gaines
93432, Rob_Marshall
50085, Robert_M._La_Follette,_Sr.
14860, Scott_Walker_(politician)
12865, Sewall_Wright
23466, Stephen_Cole_Kleene
92027, Tammy_Baldwin
36612, Thornton_Wilder
29157, United_States
97750, University_of_Wisconsin_Law_School
90384, Wisconsin
118104, male
src, edge_attr, dst
41867, hasGender, 118104
41867, wasBornIn, 95611
69125, hasGender, 118104
69125, wasBornIn, 95611
31956, hasGender, 118104
31956, wasBornIn, 95611
110974, hasGender, 118104
110974, wasBornIn, 104153
117996, hasGender, 118104
117996, wasBornIn, 95611
77710, hasGender, 118104
77710, wasBornIn, 95611
13438, isLocatedIn, 104153
13438, isLocatedIn, 90384
64087, hasGender, 118104
64087, wasBornIn, 95611
122247, hasGender, 118104
57501, diedIn, 95611
57501, hasGender, 118104
52374, diedIn, 95611
52374, hasGender, 118104
54621, diedIn, 95611
54621, hasGender, 118104
54621, livesIn, 95611
106596, hasGender, 118104
106596, wasBornIn, 95611
103958, isLocatedIn, 104153
103958, isLocatedIn, 95611
103958, isLocatedIn, 90384
67492, hasGender, 118104
67492, wasBornIn, 95611
67230, hasGender, 118104
67230, wasBornIn, 95611
37720, diedIn, 95611
37720, hasGender, 118104
54299, hasGender, 118104
54299, wasBornIn, 95611
104153, isLocatedIn, 13438
104153, isLocatedIn, 29157
104153, isLocatedIn, 90384
95611, isLocatedIn, 13438
95611, isLocatedIn, 29157
95611, isLocatedIn, 90384
116838, hasGender, 118104
116838, wasBornIn, 95611
117181, hasGender, 118104
117181, wasBornIn, 95611
25114, diedIn, 104153
25114, hasGender, 118104
51695, hasGender, 118104
51695, wasBornIn, 95611
5337, isLocatedIn, 104153
5337, isLocatedIn, 95611
5337, isLocatedIn, 90384
79797, hasGender, 118104
79797, wasBornIn, 95611
93432, hasGender, 118104
93432, wasBornIn, 95611
50085, hasGender, 118104
50085, isPoliticianOf, 90384
14860, hasGender, 118104
14860, isPoliticianOf, 90384
12865, diedIn, 95611
12865, hasGender, 118104
23466, diedIn, 95611
23466, hasGender, 118104
92027, livesIn, 95611
92027, livesIn, 90384
92027, wasBornIn, 95611
36612, hasGender, 118104
36612, wasBornIn, 95611
97750, isLocatedIn, 95611
97750, isLocatedIn, 90384
90384, hasCapital, 104153
90384, isLocatedIn, 29157
Question: For what reason are Dane_County,_Wisconsin and Enrique_Santos_Discépolo associated?
Your output must be ONLY the PATH block.
| graph_path | {
"style": "rule"
} | {
"entities": [
"Dane_County,_Wisconsin",
"Enrique_Santos_Discépolo"
],
"valid_edges": [
[
"Brad_Winchester",
"hasGender",
"male"
],
[
"Brad_Winchester",
"wasBornIn",
"Madison,_Wisconsin"
],
[
"Bradford_Parkinson",
"hasGender",
"male"
],
[
"Bradford_Parkinson",
"wasBornIn",
"Madison,_Wisconsin"
],
[
"Bradley_Whitford",
"hasGender",
"male"
],
[
"Bradley_Whitford",
"wasBornIn",
"Madison,_Wisconsin"
],
[
"Brother_Ali",
"hasGender",
"male"
],
[
"Brother_Ali",
"wasBornIn",
"Madison"
],
[
"Chris_Farley",
"hasGender",
"male"
],
[
"Chris_Farley",
"wasBornIn",
"Madison,_Wisconsin"
],
[
"Chris_Noth",
"hasGender",
"male"
],
[
"Chris_Noth",
"wasBornIn",
"Madison,_Wisconsin"
],
[
"Dane_County,_Wisconsin",
"isLocatedIn",
"Madison"
],
[
"Dane_County,_Wisconsin",
"isLocatedIn",
"Wisconsin"
],
[
"Dean_Elliott",
"hasGender",
"male"
],
[
"Dean_Elliott",
"wasBornIn",
"Madison,_Wisconsin"
],
[
"Enrique_Santos_Discépolo",
"hasGender",
"male"
],
[
"Frank_Herbert",
"diedIn",
"Madison,_Wisconsin"
],
[
"Frank_Herbert",
"hasGender",
"male"
],
[
"George_E._P._Box",
"diedIn",
"Madison,_Wisconsin"
],
[
"George_E._P._Box",
"hasGender",
"male"
],
[
"Hans_Reese",
"diedIn",
"Madison,_Wisconsin"
],
[
"Hans_Reese",
"hasGender",
"male"
],
[
"Hans_Reese",
"livesIn",
"Madison,_Wisconsin"
],
[
"Hendrik_Wade_Bode",
"hasGender",
"male"
],
[
"Hendrik_Wade_Bode",
"wasBornIn",
"Madison,_Wisconsin"
],
[
"Human_Head_Studios",
"isLocatedIn",
"Madison"
],
[
"Human_Head_Studios",
"isLocatedIn",
"Madison,_Wisconsin"
],
[
"Human_Head_Studios",
"isLocatedIn",
"Wisconsin"
],
[
"John_Bardeen",
"hasGender",
"male"
],
[
"John_Bardeen",
"wasBornIn",
"Madison,_Wisconsin"
],
[
"Kevin_Dean_(ice_hockey)",
"hasGender",
"male"
],
[
"Kevin_Dean_(ice_hockey)",
"wasBornIn",
"Madison,_Wisconsin"
],
[
"Laurence_Chisholm_Young",
"diedIn",
"Madison,_Wisconsin"
],
[
"Laurence_Chisholm_Young",
"hasGender",
"male"
],
[
"Lauriston_Sharp",
"hasGender",
"male"
],
[
"Lauriston_Sharp",
"wasBornIn",
"Madison,_Wisconsin"
],
[
"Madison",
"isLocatedIn",
"Dane_County,_Wisconsin"
],
[
"Madison",
"isLocatedIn",
"United_States"
],
[
"Madison",
"isLocatedIn",
"Wisconsin"
],
[
"Madison,_Wisconsin",
"isLocatedIn",
"Dane_County,_Wisconsin"
],
[
"Madison,_Wisconsin",
"isLocatedIn",
"United_States"
],
[
"Madison,_Wisconsin",
"isLocatedIn",
"Wisconsin"
],
[
"Nick_Grinde",
"hasGender",
"male"
],
[
"Nick_Grinde",
"wasBornIn",
"Madison,_Wisconsin"
],
[
"Nick_Hexum",
"hasGender",
"male"
],
[
"Nick_Hexum",
"wasBornIn",
"Madison,_Wisconsin"
],
[
"Otis_Redding",
"diedIn",
"Madison"
],
[
"Otis_Redding",
"hasGender",
"male"
],
[
"Patrick_Rothfuss",
"hasGender",
"male"
],
[
"Patrick_Rothfuss",
"wasBornIn",
"Madison,_Wisconsin"
],
[
"Raven_Software",
"isLocatedIn",
"Madison"
],
[
"Raven_Software",
"isLocatedIn",
"Madison,_Wisconsin"
],
[
"Raven_Software",
"isLocatedIn",
"Wisconsin"
],
[
"Reece_Gaines",
"hasGender",
"male"
],
[
"Reece_Gaines",
"wasBornIn",
"Madison,_Wisconsin"
],
[
"Rob_Marshall",
"hasGender",
"male"
],
[
"Rob_Marshall",
"wasBornIn",
"Madison,_Wisconsin"
],
[
"Robert_M._La_Follette,_Sr.",
"hasGender",
"male"
],
[
"Robert_M._La_Follette,_Sr.",
"isPoliticianOf",
"Wisconsin"
],
[
"Scott_Walker_(politician)",
"hasGender",
"male"
],
[
"Scott_Walker_(politician)",
"isPoliticianOf",
"Wisconsin"
],
[
"Sewall_Wright",
"diedIn",
"Madison,_Wisconsin"
],
[
"Sewall_Wright",
"hasGender",
"male"
],
[
"Stephen_Cole_Kleene",
"diedIn",
"Madison,_Wisconsin"
],
[
"Stephen_Cole_Kleene",
"hasGender",
"male"
],
[
"Tammy_Baldwin",
"livesIn",
"Madison,_Wisconsin"
],
[
"Tammy_Baldwin",
"livesIn",
"Wisconsin"
],
[
"Tammy_Baldwin",
"wasBornIn",
"Madison,_Wisconsin"
],
[
"Thornton_Wilder",
"hasGender",
"male"
],
[
"Thornton_Wilder",
"wasBornIn",
"Madison,_Wisconsin"
],
[
"University_of_Wisconsin_Law_School",
"isLocatedIn",
"Madison,_Wisconsin"
],
[
"University_of_Wisconsin_Law_School",
"isLocatedIn",
"Wisconsin"
],
[
"Wisconsin",
"hasCapital",
"Madison"
],
[
"Wisconsin",
"isLocatedIn",
"United_States"
]
],
"ground_truth": [],
"gt_cost": null
} |
YAGO |
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
85806, Abdel_Djaadaoui
65808, Ali_Boumnijel
48125, Andé_Dona_Ndoh
114150, Anthony_Moura-Komenan
17003, Arie_de_Vroet
82535, Armand_Ossey
102466, Arnaud_Dos_Santos
112901, Arnaud_Mendy
71644, Aurélien_Chedjou
99730, Bora_Milutinović
95907, Bronisław_Bula
18847, Bèbè_Kambou
108045, Charles_Boateng
8966, Christian_Gourcuff
74039, Christophe_Horlaville
24804, Christopher_Samba
68862, Claude_Le_Roy
115312, Cristiano_Alves_Pereira
58913, César-Auguste_Laraignée
67989, Dado_Pršo
99882, Damien_Da_Silva
74473, Daniel_Horlaville
26174, David_Camara
43688, David_Jarolím
52760, Demba_Ba
89962, Dieudonné_Minoungou
84074, Djamel_Tlemçani
120039, Edmond_Delfour
56467, Eric_Obinna_Chukwunyelu
59635, Erich_Maas
97382, Ernst_Melchior
46261, FC_Rouen
14349, Fabien_Raddas
30558, Fayçal_Fajr
83446, Fernander_Kassaï
34312, Fernando_Riera
92490, François_Bracci
96729, François_Heutte
1573, Frédéric_Daquin
53375, Félicien_Singbo
19943, Gilles_Domoraud
118105, Gustave_Bahoken
122383, Gérard_Gili
28683, Habib_Sissoko
114222, Hamza_Aït_Ouamar
91466, Hubert_Fournier
100611, Ibrahima_Diallo
106815, Ilija_Lukić
69566, Jean-Daniel_Padovani
58560, Jean-Guy_Wallemme
37375, Jean-Marc_Adjovi-Bocco
107067, Jean-Paul_Rabier
44901, Jean-Yves_Chay
112417, Jens_Jørn_Bertelsen
58544, Johann_Chapuis
51308, Jorge_Trezeguet
92934, Julien_N'Da
7150, Jérôme_Palatsi
122150, Karel_Jarolím
118426, Karl_Durspekt
8218, Leongino_Unzaim
119655, Leonid_Hurwicz
22076, Lukáš_Jarolím
56634, Marc-Antoine_Fortuné
101763, Mathieu_Duhamel
25153, Matthias_Jouan
36885, Max_Schirschin
17361, Mickaël_Dogbé
33505, Mickaël_Tacalfred
121395, Milorad_Pavić_(footballer)
120663, Mohamed_Doumbouya
94978, Mustafa_Merry
22726, Nicolas_Rabuel
11597, Olivier_Quint
53291, Oscar_Olou
94983, Patrice_Maurel
58635, Patrice_Rio
60044, Patrick_Apataki
9342, Patrick_Parizon
8242, Philippe_Redon
68815, Philippe_Troussier
28555, Pierre_Aubameyang
64827, Pierre_Phelipon
39742, Rachid_Benayen
64267, Rick_Nowels
37891, Roman_Jakóbczak
54156, Samuel_Ojong
75464, Simon_Stainrod
97346, Stéphane_Léoni
77381, Tagro_Baléguhé
36439, Tomáš_Pospíchal
2271, Yedi_Zahiri
20108, Yohan_Di_Tommaso
67094, Yves_Triantafyllos
111575, Zahir_Zerdab
16868, de/Didier_Monczuk
118104, male
src, edge_attr, dst
85806, hasGender, 118104
85806, isAffiliatedTo, 46261
85806, playsFor, 46261
65808, hasGender, 118104
65808, isAffiliatedTo, 46261
65808, playsFor, 46261
48125, hasGender, 118104
48125, isAffiliatedTo, 46261
48125, playsFor, 46261
114150, hasGender, 118104
114150, isAffiliatedTo, 46261
114150, playsFor, 46261
17003, hasGender, 118104
17003, isAffiliatedTo, 46261
17003, playsFor, 46261
82535, hasGender, 118104
82535, isAffiliatedTo, 46261
82535, playsFor, 46261
102466, hasGender, 118104
102466, isAffiliatedTo, 46261
102466, playsFor, 46261
112901, hasGender, 118104
112901, playsFor, 46261
71644, hasGender, 118104
71644, isAffiliatedTo, 46261
71644, playsFor, 46261
99730, hasGender, 118104
99730, isAffiliatedTo, 46261
99730, playsFor, 46261
95907, hasGender, 118104
95907, isAffiliatedTo, 46261
95907, playsFor, 46261
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77381, hasGender, 118104
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36439, hasGender, 118104
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2271, hasGender, 118104
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67094, hasGender, 118104
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111575, hasGender, 118104
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16868, isAffiliatedTo, 46261
Question: How are Rick_Nowels and de/Didier_Monczuk related?
Your output must be ONLY the PATH block.
| graph_path | {
"style": "rule"
} | {
"entities": [
"Rick_Nowels",
"de/Didier_Monczuk"
],
"valid_edges": [
[
"Abdel_Djaadaoui",
"hasGender",
"male"
],
[
"Abdel_Djaadaoui",
"isAffiliatedTo",
"FC_Rouen"
],
[
"Abdel_Djaadaoui",
"playsFor",
"FC_Rouen"
],
[
"Ali_Boumnijel",
"hasGender",
"male"
],
[
"Ali_Boumnijel",
"isAffiliatedTo",
"FC_Rouen"
],
[
"Ali_Boumnijel",
"playsFor",
"FC_Rouen"
],
[
"Andé_Dona_Ndoh",
"hasGender",
"male"
],
[
"Andé_Dona_Ndoh",
"isAffiliatedTo",
"FC_Rouen"
],
[
"Andé_Dona_Ndoh",
"playsFor",
"FC_Rouen"
],
[
"Anthony_Moura-Komenan",
"hasGender",
"male"
],
[
"Anthony_Moura-Komenan",
"isAffiliatedTo",
"FC_Rouen"
],
[
"Anthony_Moura-Komenan",
"playsFor",
"FC_Rouen"
],
[
"Arie_de_Vroet",
"hasGender",
"male"
],
[
"Arie_de_Vroet",
"isAffiliatedTo",
"FC_Rouen"
],
[
"Arie_de_Vroet",
"playsFor",
"FC_Rouen"
],
[
"Armand_Ossey",
"hasGender",
"male"
],
[
"Armand_Ossey",
"isAffiliatedTo",
"FC_Rouen"
],
[
"Armand_Ossey",
"playsFor",
"FC_Rouen"
],
[
"Arnaud_Dos_Santos",
"hasGender",
"male"
],
[
"Arnaud_Dos_Santos",
"isAffiliatedTo",
"FC_Rouen"
],
[
"Arnaud_Dos_Santos",
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"FC_Rouen"
],
[
"Arnaud_Mendy",
"hasGender",
"male"
],
[
"Arnaud_Mendy",
"playsFor",
"FC_Rouen"
],
[
"Aurélien_Chedjou",
"hasGender",
"male"
],
[
"Aurélien_Chedjou",
"isAffiliatedTo",
"FC_Rouen"
],
[
"Aurélien_Chedjou",
"playsFor",
"FC_Rouen"
],
[
"Bora_Milutinović",
"hasGender",
"male"
],
[
"Bora_Milutinović",
"isAffiliatedTo",
"FC_Rouen"
],
[
"Bora_Milutinović",
"playsFor",
"FC_Rouen"
],
[
"Bronisław_Bula",
"hasGender",
"male"
],
[
"Bronisław_Bula",
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"FC_Rouen"
],
[
"Bronisław_Bula",
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"FC_Rouen"
],
[
"Bèbè_Kambou",
"hasGender",
"male"
],
[
"Bèbè_Kambou",
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"FC_Rouen"
],
[
"Bèbè_Kambou",
"playsFor",
"FC_Rouen"
],
[
"Charles_Boateng",
"hasGender",
"male"
],
[
"Charles_Boateng",
"isAffiliatedTo",
"FC_Rouen"
],
[
"Charles_Boateng",
"playsFor",
"FC_Rouen"
],
[
"Christian_Gourcuff",
"hasGender",
"male"
],
[
"Christian_Gourcuff",
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"FC_Rouen"
],
[
"Christian_Gourcuff",
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"FC_Rouen"
],
[
"Christophe_Horlaville",
"hasGender",
"male"
],
[
"Christophe_Horlaville",
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"FC_Rouen"
],
[
"Christophe_Horlaville",
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"FC_Rouen"
],
[
"Christopher_Samba",
"hasGender",
"male"
],
[
"Christopher_Samba",
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"FC_Rouen"
],
[
"Christopher_Samba",
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"FC_Rouen"
],
[
"Claude_Le_Roy",
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"male"
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[
"Claude_Le_Roy",
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"FC_Rouen"
],
[
"Claude_Le_Roy",
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"FC_Rouen"
],
[
"Cristiano_Alves_Pereira",
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"male"
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[
"Cristiano_Alves_Pereira",
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"FC_Rouen"
],
[
"Cristiano_Alves_Pereira",
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"FC_Rouen"
],
[
"César-Auguste_Laraignée",
"hasGender",
"male"
],
[
"César-Auguste_Laraignée",
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"FC_Rouen"
],
[
"César-Auguste_Laraignée",
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"FC_Rouen"
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[
"Dado_Pršo",
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"male"
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"Dado_Pršo",
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"FC_Rouen"
],
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"Dado_Pršo",
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"FC_Rouen"
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[
"Damien_Da_Silva",
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"male"
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"Damien_Da_Silva",
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"FC_Rouen"
],
[
"Damien_Da_Silva",
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"FC_Rouen"
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[
"Daniel_Horlaville",
"hasGender",
"male"
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"Daniel_Horlaville",
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"FC_Rouen"
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"Daniel_Horlaville",
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"David_Camara",
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"male"
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"David_Camara",
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"FC_Rouen"
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[
"David_Jarolím",
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"FC_Rouen"
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"David_Jarolím",
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[
"Demba_Ba",
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"male"
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"Demba_Ba",
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"FC_Rouen"
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"Demba_Ba",
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"Dieudonné_Minoungou",
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"male"
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"FC_Rouen"
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[
"Dieudonné_Minoungou",
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"FC_Rouen"
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[
"Djamel_Tlemçani",
"hasGender",
"male"
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[
"Djamel_Tlemçani",
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"FC_Rouen"
],
[
"Djamel_Tlemçani",
"playsFor",
"FC_Rouen"
],
[
"Edmond_Delfour",
"hasGender",
"male"
],
[
"Edmond_Delfour",
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"FC_Rouen"
],
[
"Edmond_Delfour",
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"FC_Rouen"
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[
"Eric_Obinna_Chukwunyelu",
"hasGender",
"male"
],
[
"Eric_Obinna_Chukwunyelu",
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"FC_Rouen"
],
[
"Eric_Obinna_Chukwunyelu",
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"FC_Rouen"
],
[
"Erich_Maas",
"hasGender",
"male"
],
[
"Erich_Maas",
"isAffiliatedTo",
"FC_Rouen"
],
[
"Erich_Maas",
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"FC_Rouen"
],
[
"Ernst_Melchior",
"hasGender",
"male"
],
[
"Ernst_Melchior",
"isAffiliatedTo",
"FC_Rouen"
],
[
"Ernst_Melchior",
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"FC_Rouen"
],
[
"Fabien_Raddas",
"hasGender",
"male"
],
[
"Fabien_Raddas",
"isAffiliatedTo",
"FC_Rouen"
],
[
"Fabien_Raddas",
"playsFor",
"FC_Rouen"
],
[
"Fayçal_Fajr",
"hasGender",
"male"
],
[
"Fayçal_Fajr",
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"FC_Rouen"
],
[
"Fayçal_Fajr",
"playsFor",
"FC_Rouen"
],
[
"Fernander_Kassaï",
"hasGender",
"male"
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[
"Fernander_Kassaï",
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"FC_Rouen"
],
[
"Fernander_Kassaï",
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"FC_Rouen"
],
[
"Fernando_Riera",
"hasGender",
"male"
],
[
"Fernando_Riera",
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"FC_Rouen"
],
[
"Fernando_Riera",
"playsFor",
"FC_Rouen"
],
[
"François_Bracci",
"hasGender",
"male"
],
[
"François_Bracci",
"isAffiliatedTo",
"FC_Rouen"
],
[
"François_Bracci",
"playsFor",
"FC_Rouen"
],
[
"François_Heutte",
"hasGender",
"male"
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[
"François_Heutte",
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"FC_Rouen"
],
[
"François_Heutte",
"playsFor",
"FC_Rouen"
],
[
"Frédéric_Daquin",
"hasGender",
"male"
],
[
"Frédéric_Daquin",
"isAffiliatedTo",
"FC_Rouen"
],
[
"Frédéric_Daquin",
"playsFor",
"FC_Rouen"
],
[
"Félicien_Singbo",
"hasGender",
"male"
],
[
"Félicien_Singbo",
"isAffiliatedTo",
"FC_Rouen"
],
[
"Félicien_Singbo",
"playsFor",
"FC_Rouen"
],
[
"Gilles_Domoraud",
"hasGender",
"male"
],
[
"Gilles_Domoraud",
"isAffiliatedTo",
"FC_Rouen"
],
[
"Gilles_Domoraud",
"playsFor",
"FC_Rouen"
],
[
"Gustave_Bahoken",
"hasGender",
"male"
],
[
"Gustave_Bahoken",
"isAffiliatedTo",
"FC_Rouen"
],
[
"Gustave_Bahoken",
"playsFor",
"FC_Rouen"
],
[
"Gérard_Gili",
"hasGender",
"male"
],
[
"Gérard_Gili",
"isAffiliatedTo",
"FC_Rouen"
],
[
"Gérard_Gili",
"playsFor",
"FC_Rouen"
],
[
"Habib_Sissoko",
"hasGender",
"male"
],
[
"Habib_Sissoko",
"isAffiliatedTo",
"FC_Rouen"
],
[
"Habib_Sissoko",
"playsFor",
"FC_Rouen"
],
[
"Hamza_Aït_Ouamar",
"hasGender",
"male"
],
[
"Hamza_Aït_Ouamar",
"isAffiliatedTo",
"FC_Rouen"
],
[
"Hamza_Aït_Ouamar",
"playsFor",
"FC_Rouen"
],
[
"Hubert_Fournier",
"hasGender",
"male"
],
[
"Hubert_Fournier",
"isAffiliatedTo",
"FC_Rouen"
],
[
"Hubert_Fournier",
"playsFor",
"FC_Rouen"
],
[
"Ibrahima_Diallo",
"hasGender",
"male"
],
[
"Ibrahima_Diallo",
"isAffiliatedTo",
"FC_Rouen"
],
[
"Ibrahima_Diallo",
"playsFor",
"FC_Rouen"
],
[
"Ilija_Lukić",
"hasGender",
"male"
],
[
"Ilija_Lukić",
"playsFor",
"FC_Rouen"
],
[
"Jean-Daniel_Padovani",
"hasGender",
"male"
],
[
"Jean-Daniel_Padovani",
"isAffiliatedTo",
"FC_Rouen"
],
[
"Jean-Daniel_Padovani",
"playsFor",
"FC_Rouen"
],
[
"Jean-Guy_Wallemme",
"hasGender",
"male"
],
[
"Jean-Guy_Wallemme",
"isAffiliatedTo",
"FC_Rouen"
],
[
"Jean-Marc_Adjovi-Bocco",
"hasGender",
"male"
],
[
"Jean-Marc_Adjovi-Bocco",
"isAffiliatedTo",
"FC_Rouen"
],
[
"Jean-Marc_Adjovi-Bocco",
"playsFor",
"FC_Rouen"
],
[
"Jean-Paul_Rabier",
"hasGender",
"male"
],
[
"Jean-Paul_Rabier",
"isAffiliatedTo",
"FC_Rouen"
],
[
"Jean-Yves_Chay",
"hasGender",
"male"
],
[
"Jean-Yves_Chay",
"isAffiliatedTo",
"FC_Rouen"
],
[
"Jens_Jørn_Bertelsen",
"hasGender",
"male"
],
[
"Jens_Jørn_Bertelsen",
"isAffiliatedTo",
"FC_Rouen"
],
[
"Jens_Jørn_Bertelsen",
"playsFor",
"FC_Rouen"
],
[
"Johann_Chapuis",
"hasGender",
"male"
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[
"Johann_Chapuis",
"isAffiliatedTo",
"FC_Rouen"
],
[
"Johann_Chapuis",
"playsFor",
"FC_Rouen"
],
[
"Jorge_Trezeguet",
"hasGender",
"male"
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"Jorge_Trezeguet",
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"FC_Rouen"
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"Jorge_Trezeguet",
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"FC_Rouen"
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[
"Julien_N'Da",
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"male"
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[
"Julien_N'Da",
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"FC_Rouen"
],
[
"Julien_N'Da",
"playsFor",
"FC_Rouen"
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[
"Jérôme_Palatsi",
"hasGender",
"male"
],
[
"Jérôme_Palatsi",
"isAffiliatedTo",
"FC_Rouen"
],
[
"Jérôme_Palatsi",
"playsFor",
"FC_Rouen"
],
[
"Karel_Jarolím",
"hasGender",
"male"
],
[
"Karel_Jarolím",
"isAffiliatedTo",
"FC_Rouen"
],
[
"Karel_Jarolím",
"playsFor",
"FC_Rouen"
],
[
"Karl_Durspekt",
"hasGender",
"male"
],
[
"Karl_Durspekt",
"isAffiliatedTo",
"FC_Rouen"
],
[
"Karl_Durspekt",
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"FC_Rouen"
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[
"Leongino_Unzaim",
"hasGender",
"male"
],
[
"Leongino_Unzaim",
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"FC_Rouen"
],
[
"Leongino_Unzaim",
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"FC_Rouen"
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[
"Leonid_Hurwicz",
"hasGender",
"male"
],
[
"Leonid_Hurwicz",
"playsFor",
"FC_Rouen"
],
[
"Lukáš_Jarolím",
"hasGender",
"male"
],
[
"Lukáš_Jarolím",
"isAffiliatedTo",
"FC_Rouen"
],
[
"Lukáš_Jarolím",
"playsFor",
"FC_Rouen"
],
[
"Marc-Antoine_Fortuné",
"hasGender",
"male"
],
[
"Marc-Antoine_Fortuné",
"isAffiliatedTo",
"FC_Rouen"
],
[
"Marc-Antoine_Fortuné",
"playsFor",
"FC_Rouen"
],
[
"Mathieu_Duhamel",
"hasGender",
"male"
],
[
"Mathieu_Duhamel",
"playsFor",
"FC_Rouen"
],
[
"Matthias_Jouan",
"hasGender",
"male"
],
[
"Matthias_Jouan",
"playsFor",
"FC_Rouen"
],
[
"Max_Schirschin",
"hasGender",
"male"
],
[
"Max_Schirschin",
"isAffiliatedTo",
"FC_Rouen"
],
[
"Max_Schirschin",
"playsFor",
"FC_Rouen"
],
[
"Mickaël_Dogbé",
"hasGender",
"male"
],
[
"Mickaël_Dogbé",
"isAffiliatedTo",
"FC_Rouen"
],
[
"Mickaël_Dogbé",
"playsFor",
"FC_Rouen"
],
[
"Mickaël_Tacalfred",
"hasGender",
"male"
],
[
"Mickaël_Tacalfred",
"isAffiliatedTo",
"FC_Rouen"
],
[
"Mickaël_Tacalfred",
"playsFor",
"FC_Rouen"
],
[
"Milorad_Pavić_(footballer)",
"hasGender",
"male"
],
[
"Milorad_Pavić_(footballer)",
"isAffiliatedTo",
"FC_Rouen"
],
[
"Mohamed_Doumbouya",
"hasGender",
"male"
],
[
"Mohamed_Doumbouya",
"playsFor",
"FC_Rouen"
],
[
"Mustafa_Merry",
"hasGender",
"male"
],
[
"Mustafa_Merry",
"isAffiliatedTo",
"FC_Rouen"
],
[
"Mustafa_Merry",
"playsFor",
"FC_Rouen"
],
[
"Nicolas_Rabuel",
"hasGender",
"male"
],
[
"Nicolas_Rabuel",
"isAffiliatedTo",
"FC_Rouen"
],
[
"Nicolas_Rabuel",
"playsFor",
"FC_Rouen"
],
[
"Olivier_Quint",
"hasGender",
"male"
],
[
"Olivier_Quint",
"isAffiliatedTo",
"FC_Rouen"
],
[
"Olivier_Quint",
"playsFor",
"FC_Rouen"
],
[
"Oscar_Olou",
"hasGender",
"male"
],
[
"Oscar_Olou",
"isAffiliatedTo",
"FC_Rouen"
],
[
"Oscar_Olou",
"playsFor",
"FC_Rouen"
],
[
"Patrice_Maurel",
"hasGender",
"male"
],
[
"Patrice_Maurel",
"isAffiliatedTo",
"FC_Rouen"
],
[
"Patrice_Maurel",
"playsFor",
"FC_Rouen"
],
[
"Patrice_Rio",
"hasGender",
"male"
],
[
"Patrice_Rio",
"isAffiliatedTo",
"FC_Rouen"
],
[
"Patrice_Rio",
"playsFor",
"FC_Rouen"
],
[
"Patrick_Apataki",
"hasGender",
"male"
],
[
"Patrick_Apataki",
"isAffiliatedTo",
"FC_Rouen"
],
[
"Patrick_Apataki",
"playsFor",
"FC_Rouen"
],
[
"Patrick_Parizon",
"hasGender",
"male"
],
[
"Patrick_Parizon",
"isAffiliatedTo",
"FC_Rouen"
],
[
"Philippe_Redon",
"hasGender",
"male"
],
[
"Philippe_Redon",
"isAffiliatedTo",
"FC_Rouen"
],
[
"Philippe_Redon",
"playsFor",
"FC_Rouen"
],
[
"Philippe_Troussier",
"hasGender",
"male"
],
[
"Philippe_Troussier",
"isAffiliatedTo",
"FC_Rouen"
],
[
"Philippe_Troussier",
"playsFor",
"FC_Rouen"
],
[
"Pierre_Aubameyang",
"hasGender",
"male"
],
[
"Pierre_Aubameyang",
"isAffiliatedTo",
"FC_Rouen"
],
[
"Pierre_Aubameyang",
"playsFor",
"FC_Rouen"
],
[
"Pierre_Phelipon",
"hasGender",
"male"
],
[
"Pierre_Phelipon",
"playsFor",
"FC_Rouen"
],
[
"Rachid_Benayen",
"hasGender",
"male"
],
[
"Rachid_Benayen",
"isAffiliatedTo",
"FC_Rouen"
],
[
"Rachid_Benayen",
"playsFor",
"FC_Rouen"
],
[
"Rick_Nowels",
"hasGender",
"male"
],
[
"Roman_Jakóbczak",
"hasGender",
"male"
],
[
"Roman_Jakóbczak",
"isAffiliatedTo",
"FC_Rouen"
],
[
"Roman_Jakóbczak",
"playsFor",
"FC_Rouen"
],
[
"Samuel_Ojong",
"hasGender",
"male"
],
[
"Samuel_Ojong",
"playsFor",
"FC_Rouen"
],
[
"Simon_Stainrod",
"hasGender",
"male"
],
[
"Simon_Stainrod",
"isAffiliatedTo",
"FC_Rouen"
],
[
"Simon_Stainrod",
"playsFor",
"FC_Rouen"
],
[
"Stéphane_Léoni",
"hasGender",
"male"
],
[
"Stéphane_Léoni",
"isAffiliatedTo",
"FC_Rouen"
],
[
"Stéphane_Léoni",
"playsFor",
"FC_Rouen"
],
[
"Tagro_Baléguhé",
"hasGender",
"male"
],
[
"Tagro_Baléguhé",
"isAffiliatedTo",
"FC_Rouen"
],
[
"Tagro_Baléguhé",
"playsFor",
"FC_Rouen"
],
[
"Tomáš_Pospíchal",
"hasGender",
"male"
],
[
"Tomáš_Pospíchal",
"isAffiliatedTo",
"FC_Rouen"
],
[
"Tomáš_Pospíchal",
"playsFor",
"FC_Rouen"
],
[
"Yedi_Zahiri",
"hasGender",
"male"
],
[
"Yedi_Zahiri",
"playsFor",
"FC_Rouen"
],
[
"Yohan_Di_Tommaso",
"hasGender",
"male"
],
[
"Yohan_Di_Tommaso",
"playsFor",
"FC_Rouen"
],
[
"Yves_Triantafyllos",
"hasGender",
"male"
],
[
"Yves_Triantafyllos",
"isAffiliatedTo",
"FC_Rouen"
],
[
"Yves_Triantafyllos",
"playsFor",
"FC_Rouen"
],
[
"Zahir_Zerdab",
"hasGender",
"male"
],
[
"Zahir_Zerdab",
"isAffiliatedTo",
"FC_Rouen"
],
[
"Zahir_Zerdab",
"playsFor",
"FC_Rouen"
],
[
"de/Didier_Monczuk",
"isAffiliatedTo",
"FC_Rouen"
]
],
"ground_truth": [],
"gt_cost": null
} |
YAGO |
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
92424, Aleksei_Zuev
17893, Andrei_Viktorovich_Smirnov
59764, Andrey_Movsisyan
85230, FC_Avangard_Podolsk
57643, FC_Khimki
97607, FC_Sportakademklub_Moscow
104818, FC_Vityaz_Podolsk
8526, Leslie_Morshead
114768, Moscow
55481, Russian_Amateur_Football_League
50736, Viktor_Svistunov
118104, male
src, edge_attr, dst
92424, hasGender, 118104
92424, isAffiliatedTo, 85230
92424, isAffiliatedTo, 57643
92424, isAffiliatedTo, 104818
92424, isAffiliatedTo, 55481
92424, playsFor, 85230
92424, playsFor, 57643
92424, playsFor, 104818
92424, playsFor, 55481
92424, wasBornIn, 114768
17893, hasGender, 118104
17893, isAffiliatedTo, 85230
17893, isAffiliatedTo, 57643
17893, isAffiliatedTo, 104818
17893, playsFor, 85230
17893, playsFor, 57643
17893, playsFor, 104818
59764, hasGender, 118104
59764, isAffiliatedTo, 85230
59764, isAffiliatedTo, 97607
59764, playsFor, 85230
59764, playsFor, 97607
59764, wasBornIn, 114768
8526, hasGender, 118104
50736, hasGender, 118104
50736, playsFor, 85230
50736, playsFor, 57643
50736, playsFor, 97607
50736, playsFor, 55481
Question: For what reason are FC_Avangard_Podolsk and Leslie_Morshead associated?
Your output must be ONLY the PATH block.
| graph_path | {
"style": "rule"
} | {
"entities": [
"FC_Avangard_Podolsk",
"Leslie_Morshead"
],
"valid_edges": [
[
"Aleksei_Zuev",
"hasGender",
"male"
],
[
"Aleksei_Zuev",
"isAffiliatedTo",
"FC_Avangard_Podolsk"
],
[
"Aleksei_Zuev",
"isAffiliatedTo",
"FC_Khimki"
],
[
"Aleksei_Zuev",
"isAffiliatedTo",
"FC_Vityaz_Podolsk"
],
[
"Aleksei_Zuev",
"isAffiliatedTo",
"Russian_Amateur_Football_League"
],
[
"Aleksei_Zuev",
"playsFor",
"FC_Avangard_Podolsk"
],
[
"Aleksei_Zuev",
"playsFor",
"FC_Khimki"
],
[
"Aleksei_Zuev",
"playsFor",
"FC_Vityaz_Podolsk"
],
[
"Aleksei_Zuev",
"playsFor",
"Russian_Amateur_Football_League"
],
[
"Aleksei_Zuev",
"wasBornIn",
"Moscow"
],
[
"Andrei_Viktorovich_Smirnov",
"hasGender",
"male"
],
[
"Andrei_Viktorovich_Smirnov",
"isAffiliatedTo",
"FC_Avangard_Podolsk"
],
[
"Andrei_Viktorovich_Smirnov",
"isAffiliatedTo",
"FC_Khimki"
],
[
"Andrei_Viktorovich_Smirnov",
"isAffiliatedTo",
"FC_Vityaz_Podolsk"
],
[
"Andrei_Viktorovich_Smirnov",
"playsFor",
"FC_Avangard_Podolsk"
],
[
"Andrei_Viktorovich_Smirnov",
"playsFor",
"FC_Khimki"
],
[
"Andrei_Viktorovich_Smirnov",
"playsFor",
"FC_Vityaz_Podolsk"
],
[
"Andrey_Movsisyan",
"hasGender",
"male"
],
[
"Andrey_Movsisyan",
"isAffiliatedTo",
"FC_Avangard_Podolsk"
],
[
"Andrey_Movsisyan",
"isAffiliatedTo",
"FC_Sportakademklub_Moscow"
],
[
"Andrey_Movsisyan",
"playsFor",
"FC_Avangard_Podolsk"
],
[
"Andrey_Movsisyan",
"playsFor",
"FC_Sportakademklub_Moscow"
],
[
"Andrey_Movsisyan",
"wasBornIn",
"Moscow"
],
[
"Leslie_Morshead",
"hasGender",
"male"
],
[
"Viktor_Svistunov",
"hasGender",
"male"
],
[
"Viktor_Svistunov",
"playsFor",
"FC_Avangard_Podolsk"
],
[
"Viktor_Svistunov",
"playsFor",
"FC_Khimki"
],
[
"Viktor_Svistunov",
"playsFor",
"FC_Sportakademklub_Moscow"
],
[
"Viktor_Svistunov",
"playsFor",
"Russian_Amateur_Football_League"
]
],
"ground_truth": [],
"gt_cost": null
} |
YAGO |
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
94211, Affinity_Equity_Partners
15583, Alex_Wilkinson
62736, Beijing
66804, FK_ČSK_Pivara
19432, Jeonbuk_Hyundai_Motors
19947, Milan_Susak
64120, PTW_Architects
100103, Shirley_Hazzard
108918, Sydney
92504, Travelzoo
29876, Wan_Houliang
src, edge_attr, dst
94211, isLocatedIn, 62736
94211, isLocatedIn, 108918
15583, isAffiliatedTo, 19432
15583, playsFor, 19432
15583, wasBornIn, 108918
19947, isAffiliatedTo, 66804
19947, playsFor, 66804
19947, wasBornIn, 108918
64120, isLocatedIn, 62736
64120, isLocatedIn, 108918
100103, wasBornIn, 108918
92504, isLocatedIn, 62736
92504, isLocatedIn, 108918
29876, isAffiliatedTo, 66804
29876, isAffiliatedTo, 19432
29876, playsFor, 66804
29876, playsFor, 19432
29876, wasBornIn, 62736
Question: For what reason are Shirley_Hazzard and Wan_Houliang associated?
Your output must be ONLY the PATH block.
| graph_path | {
"style": "rule"
} | {
"entities": [
"Shirley_Hazzard",
"Wan_Houliang"
],
"valid_edges": [
[
"Affinity_Equity_Partners",
"isLocatedIn",
"Beijing"
],
[
"Affinity_Equity_Partners",
"isLocatedIn",
"Sydney"
],
[
"Alex_Wilkinson",
"isAffiliatedTo",
"Jeonbuk_Hyundai_Motors"
],
[
"Alex_Wilkinson",
"playsFor",
"Jeonbuk_Hyundai_Motors"
],
[
"Alex_Wilkinson",
"wasBornIn",
"Sydney"
],
[
"Milan_Susak",
"isAffiliatedTo",
"FK_ČSK_Pivara"
],
[
"Milan_Susak",
"playsFor",
"FK_ČSK_Pivara"
],
[
"Milan_Susak",
"wasBornIn",
"Sydney"
],
[
"PTW_Architects",
"isLocatedIn",
"Beijing"
],
[
"PTW_Architects",
"isLocatedIn",
"Sydney"
],
[
"Shirley_Hazzard",
"wasBornIn",
"Sydney"
],
[
"Travelzoo",
"isLocatedIn",
"Beijing"
],
[
"Travelzoo",
"isLocatedIn",
"Sydney"
],
[
"Wan_Houliang",
"isAffiliatedTo",
"FK_ČSK_Pivara"
],
[
"Wan_Houliang",
"isAffiliatedTo",
"Jeonbuk_Hyundai_Motors"
],
[
"Wan_Houliang",
"playsFor",
"FK_ČSK_Pivara"
],
[
"Wan_Houliang",
"playsFor",
"Jeonbuk_Hyundai_Motors"
],
[
"Wan_Houliang",
"wasBornIn",
"Beijing"
]
],
"ground_truth": [],
"gt_cost": null
} |
YAGO |
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
74001, APIA_Leichhardt_Tigers_FC
94552, Adam_Casey
21334, Alvin_Ceccoli
89800, Buddy_Farah
97956, Charlie_Yankos
49298, Colin_Healy
78279, Cork_City_F.C.
1946, Danny_Crainie
22463, Gary_van_Egmond
76989, James_Monie
62659, Jamie_McMaster
34548, Jason_van_Blerk
91990, Keith_Shevlin
63349, Kevin_Hagan
109581, Lawrie_McKinna
83553, Marshall_Soper
20746, Michael_Reda
34148, Paul_O'Grady_(footballer)
67127, Phil_O'Connor
108430, South_Coast_Wolves_FC
src, edge_attr, dst
94552, isAffiliatedTo, 74001
94552, isAffiliatedTo, 108430
94552, playsFor, 74001
94552, playsFor, 108430
21334, isAffiliatedTo, 74001
21334, isAffiliatedTo, 108430
21334, playsFor, 108430
89800, isAffiliatedTo, 74001
89800, isAffiliatedTo, 108430
89800, playsFor, 74001
89800, playsFor, 108430
97956, isAffiliatedTo, 74001
97956, isAffiliatedTo, 108430
97956, playsFor, 74001
97956, playsFor, 108430
49298, isAffiliatedTo, 78279
49298, playsFor, 78279
1946, isAffiliatedTo, 78279
1946, isAffiliatedTo, 108430
1946, playsFor, 78279
1946, playsFor, 108430
22463, isAffiliatedTo, 74001
22463, isAffiliatedTo, 108430
22463, playsFor, 74001
22463, playsFor, 108430
76989, isAffiliatedTo, 74001
76989, isAffiliatedTo, 108430
76989, playsFor, 74001
76989, playsFor, 108430
62659, isAffiliatedTo, 74001
62659, isAffiliatedTo, 108430
62659, playsFor, 74001
62659, playsFor, 108430
34548, isAffiliatedTo, 74001
34548, isAffiliatedTo, 108430
34548, playsFor, 74001
34548, playsFor, 108430
91990, isAffiliatedTo, 74001
91990, isAffiliatedTo, 78279
91990, playsFor, 74001
91990, playsFor, 78279
63349, isAffiliatedTo, 74001
63349, isAffiliatedTo, 108430
63349, playsFor, 74001
63349, playsFor, 108430
109581, isAffiliatedTo, 74001
109581, isAffiliatedTo, 108430
109581, playsFor, 74001
109581, playsFor, 108430
83553, isAffiliatedTo, 74001
83553, isAffiliatedTo, 108430
83553, playsFor, 74001
83553, playsFor, 108430
20746, isAffiliatedTo, 74001
20746, isAffiliatedTo, 108430
20746, playsFor, 74001
20746, playsFor, 108430
34148, isAffiliatedTo, 74001
34148, isAffiliatedTo, 108430
34148, playsFor, 74001
34148, playsFor, 108430
67127, isAffiliatedTo, 74001
67127, isAffiliatedTo, 108430
67127, playsFor, 74001
67127, playsFor, 108430
Question: How are Colin_Healy and Phil_O'Connor related?
Your output must be ONLY the PATH block.
| graph_path | {
"style": "rule"
} | {
"entities": [
"Colin_Healy",
"Phil_O'Connor"
],
"valid_edges": [
[
"Adam_Casey",
"isAffiliatedTo",
"APIA_Leichhardt_Tigers_FC"
],
[
"Adam_Casey",
"isAffiliatedTo",
"South_Coast_Wolves_FC"
],
[
"Adam_Casey",
"playsFor",
"APIA_Leichhardt_Tigers_FC"
],
[
"Adam_Casey",
"playsFor",
"South_Coast_Wolves_FC"
],
[
"Alvin_Ceccoli",
"isAffiliatedTo",
"APIA_Leichhardt_Tigers_FC"
],
[
"Alvin_Ceccoli",
"isAffiliatedTo",
"South_Coast_Wolves_FC"
],
[
"Alvin_Ceccoli",
"playsFor",
"South_Coast_Wolves_FC"
],
[
"Buddy_Farah",
"isAffiliatedTo",
"APIA_Leichhardt_Tigers_FC"
],
[
"Buddy_Farah",
"isAffiliatedTo",
"South_Coast_Wolves_FC"
],
[
"Buddy_Farah",
"playsFor",
"APIA_Leichhardt_Tigers_FC"
],
[
"Buddy_Farah",
"playsFor",
"South_Coast_Wolves_FC"
],
[
"Charlie_Yankos",
"isAffiliatedTo",
"APIA_Leichhardt_Tigers_FC"
],
[
"Charlie_Yankos",
"isAffiliatedTo",
"South_Coast_Wolves_FC"
],
[
"Charlie_Yankos",
"playsFor",
"APIA_Leichhardt_Tigers_FC"
],
[
"Charlie_Yankos",
"playsFor",
"South_Coast_Wolves_FC"
],
[
"Colin_Healy",
"isAffiliatedTo",
"Cork_City_F.C."
],
[
"Colin_Healy",
"playsFor",
"Cork_City_F.C."
],
[
"Danny_Crainie",
"isAffiliatedTo",
"Cork_City_F.C."
],
[
"Danny_Crainie",
"isAffiliatedTo",
"South_Coast_Wolves_FC"
],
[
"Danny_Crainie",
"playsFor",
"Cork_City_F.C."
],
[
"Danny_Crainie",
"playsFor",
"South_Coast_Wolves_FC"
],
[
"Gary_van_Egmond",
"isAffiliatedTo",
"APIA_Leichhardt_Tigers_FC"
],
[
"Gary_van_Egmond",
"isAffiliatedTo",
"South_Coast_Wolves_FC"
],
[
"Gary_van_Egmond",
"playsFor",
"APIA_Leichhardt_Tigers_FC"
],
[
"Gary_van_Egmond",
"playsFor",
"South_Coast_Wolves_FC"
],
[
"James_Monie",
"isAffiliatedTo",
"APIA_Leichhardt_Tigers_FC"
],
[
"James_Monie",
"isAffiliatedTo",
"South_Coast_Wolves_FC"
],
[
"James_Monie",
"playsFor",
"APIA_Leichhardt_Tigers_FC"
],
[
"James_Monie",
"playsFor",
"South_Coast_Wolves_FC"
],
[
"Jamie_McMaster",
"isAffiliatedTo",
"APIA_Leichhardt_Tigers_FC"
],
[
"Jamie_McMaster",
"isAffiliatedTo",
"South_Coast_Wolves_FC"
],
[
"Jamie_McMaster",
"playsFor",
"APIA_Leichhardt_Tigers_FC"
],
[
"Jamie_McMaster",
"playsFor",
"South_Coast_Wolves_FC"
],
[
"Jason_van_Blerk",
"isAffiliatedTo",
"APIA_Leichhardt_Tigers_FC"
],
[
"Jason_van_Blerk",
"isAffiliatedTo",
"South_Coast_Wolves_FC"
],
[
"Jason_van_Blerk",
"playsFor",
"APIA_Leichhardt_Tigers_FC"
],
[
"Jason_van_Blerk",
"playsFor",
"South_Coast_Wolves_FC"
],
[
"Keith_Shevlin",
"isAffiliatedTo",
"APIA_Leichhardt_Tigers_FC"
],
[
"Keith_Shevlin",
"isAffiliatedTo",
"Cork_City_F.C."
],
[
"Keith_Shevlin",
"playsFor",
"APIA_Leichhardt_Tigers_FC"
],
[
"Keith_Shevlin",
"playsFor",
"Cork_City_F.C."
],
[
"Kevin_Hagan",
"isAffiliatedTo",
"APIA_Leichhardt_Tigers_FC"
],
[
"Kevin_Hagan",
"isAffiliatedTo",
"South_Coast_Wolves_FC"
],
[
"Kevin_Hagan",
"playsFor",
"APIA_Leichhardt_Tigers_FC"
],
[
"Kevin_Hagan",
"playsFor",
"South_Coast_Wolves_FC"
],
[
"Lawrie_McKinna",
"isAffiliatedTo",
"APIA_Leichhardt_Tigers_FC"
],
[
"Lawrie_McKinna",
"isAffiliatedTo",
"South_Coast_Wolves_FC"
],
[
"Lawrie_McKinna",
"playsFor",
"APIA_Leichhardt_Tigers_FC"
],
[
"Lawrie_McKinna",
"playsFor",
"South_Coast_Wolves_FC"
],
[
"Marshall_Soper",
"isAffiliatedTo",
"APIA_Leichhardt_Tigers_FC"
],
[
"Marshall_Soper",
"isAffiliatedTo",
"South_Coast_Wolves_FC"
],
[
"Marshall_Soper",
"playsFor",
"APIA_Leichhardt_Tigers_FC"
],
[
"Marshall_Soper",
"playsFor",
"South_Coast_Wolves_FC"
],
[
"Michael_Reda",
"isAffiliatedTo",
"APIA_Leichhardt_Tigers_FC"
],
[
"Michael_Reda",
"isAffiliatedTo",
"South_Coast_Wolves_FC"
],
[
"Michael_Reda",
"playsFor",
"APIA_Leichhardt_Tigers_FC"
],
[
"Michael_Reda",
"playsFor",
"South_Coast_Wolves_FC"
],
[
"Paul_O'Grady_(footballer)",
"isAffiliatedTo",
"APIA_Leichhardt_Tigers_FC"
],
[
"Paul_O'Grady_(footballer)",
"isAffiliatedTo",
"South_Coast_Wolves_FC"
],
[
"Paul_O'Grady_(footballer)",
"playsFor",
"APIA_Leichhardt_Tigers_FC"
],
[
"Paul_O'Grady_(footballer)",
"playsFor",
"South_Coast_Wolves_FC"
],
[
"Phil_O'Connor",
"isAffiliatedTo",
"APIA_Leichhardt_Tigers_FC"
],
[
"Phil_O'Connor",
"isAffiliatedTo",
"South_Coast_Wolves_FC"
],
[
"Phil_O'Connor",
"playsFor",
"APIA_Leichhardt_Tigers_FC"
],
[
"Phil_O'Connor",
"playsFor",
"South_Coast_Wolves_FC"
]
],
"ground_truth": [],
"gt_cost": null
} |
YAGO |
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
77906, A.C.F._Fiorentina
117437, Can_Bartu
3795, Edmundo_Alves_de_Souza_Neto
24195, Istanbul
34659, Lefter_Küçükandonyadis
116224, Okan_Buruk
src, edge_attr, dst
117437, isAffiliatedTo, 77906
117437, wasBornIn, 24195
3795, isAffiliatedTo, 77906
34659, isAffiliatedTo, 77906
34659, wasBornIn, 24195
116224, wasBornIn, 24195
Question: How are Edmundo_Alves_de_Souza_Neto and Okan_Buruk related?
Your output must be ONLY the PATH block.
| graph_path | {
"style": "rule"
} | {
"entities": [
"Edmundo_Alves_de_Souza_Neto",
"Okan_Buruk"
],
"valid_edges": [
[
"Can_Bartu",
"isAffiliatedTo",
"A.C.F._Fiorentina"
],
[
"Can_Bartu",
"wasBornIn",
"Istanbul"
],
[
"Edmundo_Alves_de_Souza_Neto",
"isAffiliatedTo",
"A.C.F._Fiorentina"
],
[
"Lefter_Küçükandonyadis",
"isAffiliatedTo",
"A.C.F._Fiorentina"
],
[
"Lefter_Küçükandonyadis",
"wasBornIn",
"Istanbul"
],
[
"Okan_Buruk",
"wasBornIn",
"Istanbul"
]
],
"ground_truth": [],
"gt_cost": null
} |
YAGO |
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
96193, Borussia_Dortmund
54542, Felix_Bastians
83682, Knut_Reinhardt
42406, Northwich_Victoria_F.C.
110819, Tony_Ellis
src, edge_attr, dst
54542, isAffiliatedTo, 96193
54542, isAffiliatedTo, 42406
54542, playsFor, 96193
54542, playsFor, 42406
83682, isAffiliatedTo, 96193
83682, playsFor, 96193
110819, isAffiliatedTo, 42406
110819, playsFor, 42406
Question: How are Knut_Reinhardt and Tony_Ellis related?
Your output must be ONLY the PATH block.
| graph_path | {
"style": "rule"
} | {
"entities": [
"Knut_Reinhardt",
"Tony_Ellis"
],
"valid_edges": [
[
"Felix_Bastians",
"isAffiliatedTo",
"Borussia_Dortmund"
],
[
"Felix_Bastians",
"isAffiliatedTo",
"Northwich_Victoria_F.C."
],
[
"Felix_Bastians",
"playsFor",
"Borussia_Dortmund"
],
[
"Felix_Bastians",
"playsFor",
"Northwich_Victoria_F.C."
],
[
"Knut_Reinhardt",
"isAffiliatedTo",
"Borussia_Dortmund"
],
[
"Knut_Reinhardt",
"playsFor",
"Borussia_Dortmund"
],
[
"Tony_Ellis",
"isAffiliatedTo",
"Northwich_Victoria_F.C."
],
[
"Tony_Ellis",
"playsFor",
"Northwich_Victoria_F.C."
]
],
"ground_truth": [],
"gt_cost": null
} |
YAGO |
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
12022, Antônio_Cleilson_da_Silva_Feitosa
60827, Ariclenes_da_Silva_Ferreira
58935, Davi_José_Silva_do_Nascimento
78391, Dudu_Cearense
108294, Ediglê_Quaresma_Farias
16505, Erandir
109930, Fortaleza
10368, George_Leandro_Abreu_de_Lima
39553, Joeano
72791, José_Júnior
27830, José_de_Alencar
26513, João_Soares_da_Mota_Neto
28016, Jônatas_Domingos
50922, Mário_Jardel
13810, Osvaldo_Lourenço_Filho
121346, Raffael_Caetano_de_Araújo
121165, Ronny_Heberson_Furtado_de_Araújo
88449, Selmir_dos_Santos_Bezerra
4297, Tom_Hulce
118104, male
src, edge_attr, dst
12022, hasGender, 118104
12022, wasBornIn, 109930
60827, hasGender, 118104
60827, wasBornIn, 109930
58935, hasGender, 118104
58935, wasBornIn, 109930
78391, hasGender, 118104
78391, wasBornIn, 109930
108294, hasGender, 118104
108294, wasBornIn, 109930
16505, wasBornIn, 109930
10368, hasGender, 118104
10368, wasBornIn, 109930
39553, hasGender, 118104
39553, wasBornIn, 109930
72791, hasGender, 118104
72791, wasBornIn, 109930
27830, hasGender, 118104
27830, wasBornIn, 109930
26513, hasGender, 118104
26513, wasBornIn, 109930
28016, hasGender, 118104
28016, wasBornIn, 109930
50922, hasGender, 118104
50922, wasBornIn, 109930
13810, hasGender, 118104
13810, wasBornIn, 109930
121346, hasGender, 118104
121346, wasBornIn, 109930
121165, hasGender, 118104
121165, wasBornIn, 109930
88449, hasGender, 118104
88449, wasBornIn, 109930
4297, hasGender, 118104
Question: For what reason are Erandir and Tom_Hulce associated?
Your output must be ONLY the PATH block.
| graph_path | {
"style": "rule"
} | {
"entities": [
"Erandir",
"Tom_Hulce"
],
"valid_edges": [
[
"Antônio_Cleilson_da_Silva_Feitosa",
"hasGender",
"male"
],
[
"Antônio_Cleilson_da_Silva_Feitosa",
"wasBornIn",
"Fortaleza"
],
[
"Ariclenes_da_Silva_Ferreira",
"hasGender",
"male"
],
[
"Ariclenes_da_Silva_Ferreira",
"wasBornIn",
"Fortaleza"
],
[
"Davi_José_Silva_do_Nascimento",
"hasGender",
"male"
],
[
"Davi_José_Silva_do_Nascimento",
"wasBornIn",
"Fortaleza"
],
[
"Dudu_Cearense",
"hasGender",
"male"
],
[
"Dudu_Cearense",
"wasBornIn",
"Fortaleza"
],
[
"Ediglê_Quaresma_Farias",
"hasGender",
"male"
],
[
"Ediglê_Quaresma_Farias",
"wasBornIn",
"Fortaleza"
],
[
"Erandir",
"wasBornIn",
"Fortaleza"
],
[
"George_Leandro_Abreu_de_Lima",
"hasGender",
"male"
],
[
"George_Leandro_Abreu_de_Lima",
"wasBornIn",
"Fortaleza"
],
[
"Joeano",
"hasGender",
"male"
],
[
"Joeano",
"wasBornIn",
"Fortaleza"
],
[
"José_Júnior",
"hasGender",
"male"
],
[
"José_Júnior",
"wasBornIn",
"Fortaleza"
],
[
"José_de_Alencar",
"hasGender",
"male"
],
[
"José_de_Alencar",
"wasBornIn",
"Fortaleza"
],
[
"João_Soares_da_Mota_Neto",
"hasGender",
"male"
],
[
"João_Soares_da_Mota_Neto",
"wasBornIn",
"Fortaleza"
],
[
"Jônatas_Domingos",
"hasGender",
"male"
],
[
"Jônatas_Domingos",
"wasBornIn",
"Fortaleza"
],
[
"Mário_Jardel",
"hasGender",
"male"
],
[
"Mário_Jardel",
"wasBornIn",
"Fortaleza"
],
[
"Osvaldo_Lourenço_Filho",
"hasGender",
"male"
],
[
"Osvaldo_Lourenço_Filho",
"wasBornIn",
"Fortaleza"
],
[
"Raffael_Caetano_de_Araújo",
"hasGender",
"male"
],
[
"Raffael_Caetano_de_Araújo",
"wasBornIn",
"Fortaleza"
],
[
"Ronny_Heberson_Furtado_de_Araújo",
"hasGender",
"male"
],
[
"Ronny_Heberson_Furtado_de_Araújo",
"wasBornIn",
"Fortaleza"
],
[
"Selmir_dos_Santos_Bezerra",
"hasGender",
"male"
],
[
"Selmir_dos_Santos_Bezerra",
"wasBornIn",
"Fortaleza"
],
[
"Tom_Hulce",
"hasGender",
"male"
]
],
"ground_truth": [],
"gt_cost": null
} |
YAGO |
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
101407, Dead_&_Breakfast
34871, Jeremy_Sisto
81023, Marko_Babić_(footballer)
118104, male
src, edge_attr, dst
34871, actedIn, 101407
34871, hasGender, 118104
81023, hasGender, 118104
Question: In what context are Dead_&_Breakfast and Marko_Babić_(footballer) connected?
Your output must be ONLY the PATH block.
| graph_path | {
"style": "rule"
} | {
"entities": [
"Dead_&_Breakfast",
"Marko_Babić_(footballer)"
],
"valid_edges": [
[
"Jeremy_Sisto",
"actedIn",
"Dead_&_Breakfast"
],
[
"Jeremy_Sisto",
"hasGender",
"male"
],
[
"Marko_Babić_(footballer)",
"hasGender",
"male"
]
],
"ground_truth": [],
"gt_cost": null
} |
YAGO |
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
8268, Gmina_Tczew
16003, Ivan_Tsachev
75899, Paweł_Wszołek
101065, Piotr_Trochowski
49238, Tczew
10852, Zbigniew_Grzybowski
73473, Zbigniew_Kruszyński
118104, male
src, edge_attr, dst
16003, hasGender, 118104
75899, hasGender, 118104
75899, wasBornIn, 49238
101065, hasGender, 118104
101065, wasBornIn, 49238
49238, isLocatedIn, 8268
10852, hasGender, 118104
10852, wasBornIn, 49238
73473, hasGender, 118104
73473, wasBornIn, 49238
Question: In what context are Gmina_Tczew and Ivan_Tsachev connected?
Your output must be ONLY the PATH block.
| graph_path | {
"style": "rule"
} | {
"entities": [
"Gmina_Tczew",
"Ivan_Tsachev"
],
"valid_edges": [
[
"Ivan_Tsachev",
"hasGender",
"male"
],
[
"Paweł_Wszołek",
"hasGender",
"male"
],
[
"Paweł_Wszołek",
"wasBornIn",
"Tczew"
],
[
"Piotr_Trochowski",
"hasGender",
"male"
],
[
"Piotr_Trochowski",
"wasBornIn",
"Tczew"
],
[
"Tczew",
"isLocatedIn",
"Gmina_Tczew"
],
[
"Zbigniew_Grzybowski",
"hasGender",
"male"
],
[
"Zbigniew_Grzybowski",
"wasBornIn",
"Tczew"
],
[
"Zbigniew_Kruszyński",
"hasGender",
"male"
],
[
"Zbigniew_Kruszyński",
"wasBornIn",
"Tczew"
]
],
"ground_truth": [],
"gt_cost": null
} |
YAGO |
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
53471, Al_Pacino
18263, Alan_Arkin
17455, Alan_Bates
99306, Alan_Cumming
29009, Alexis_Smith
13246, Amanda_Plummer
73271, Andre_Gregory
84424, Andrew_Lloyd_Webber
40078, Angela_Lansbury
73296, Ann_Reinking
37483, Anthony_LaPaglia
14402, Arthur_Hill_(actor)
2157, Audra_McDonald
11045, BD_Wong
28364, Barbara_Harris_(actress)
92784, Barnard_Hughes
20438, Bea_Arthur
76299, Beatrice_Straight
5271, Bernadette_Peters
94844, Bob_Fosse
46514, Brian_Dennehy
48505, Bryan_Cranston
39496, Catherine_Zeta-Jones
61557, Charlie_Smalls
46676, Choices_of_the_Heart
18629, Christine_Baranski
58736, Christine_Ebersole
47684, Christopher_Plummer
20304, Cleavon_Little
98206, Constance_Cummings
109661, Dan_Fogler
102090, Debra_Monk
77778, Drama_Desk_Award
74642, Dustin_Hoffman
14538, Ed_Begley
34695, Edie_Adams
39532, Elaine_Stritch
37091, Ellen_Burstyn
52132, Frances_McDormand
63313, Frances_Sternhagen
36989, Frank_Langella
106098, Fredric_March
99344, Geoffrey_Holder
81571, Geoffrey_Rush
104452, George_Abbott
29511, George_Hearn
61799, Gregory_Hines
94877, Hamilton_County,_Kansas
115402, Harvey_Fierstein
115301, Henry_Fonda
118369, Ian_McKellen
44455, Irene_Worth
3404, James_Earl_Jones
13961, Jane_Alexander
52651, Jane_Krakowski
53953, Janet_McTeer
20110, Jason_Alexander
67372, Jason_Robert_Brown
85439, Jeffrey_Wright_(actor)
108908, Jessica_Tandy
50570, Jim_Dale
91944, Joan_Allen
12124, Joan_Hackett
10504, Joanna_Gleason
58725, Joel_Grey
11924, John_Glover_(actor)
14546, John_Larroquette
55932, John_Lithgow
56478, John_Patrick_Shanley
6679, John_Rubinstein
86463, John_Wood_(English_actor)
33444, Jonathan_Pryce
25375, Judd_Hirsch
89775, Judith_Ivey
7003, Judith_Light
113108, Kansas
66886, Kevin_Kline
54297, Kristin_Chenoweth
110652, Larry_Gelbart
85164, Laurence_Fishburne
103633, Lena_Horne
91724, Liev_Schreiber
111763, Liza_Minnelli
110262, Los_Angeles
38047, Madeline_Kahn
13274, Mark_Rylance
83481, Marvin_Hamlisch
89983, Mary-Louise_Parker
59435, Mary_Alice
102302, Maureen_Stapleton
112021, Melissa_Gilbert
19135, Mercedes_Ruehl
3051, Michael_Crawford
119718, Michael_Gough
75613, Michael_Jeter
11007, Mike_Nichols
41990, Natasha_Richardson
76108, Nathan_Lane
33554, Ned_Beatty
47821, Neil_Patrick_Harris
20954, Neil_Simon
116276, Nell_Carter
25459, Nicholas_Dante
46475, Pauline_Collins
110026, Peter_Bergman_(comedian)
82263, Phil_Silvers
61306, Philip_Bosco
61853, Rachel_Roberts_(actress)
58058, Ralph_Burns
78660, Ralph_Fiennes
49160, Ray_Bolger
114096, René_Auberjonois
32928, Rex_Harrison
61848, Richard_Griffiths
93220, Richard_Nelson_(playwright)
34831, Robert_Alda
62840, Robert_Goulet
14188, Robert_Morse
14686, Roddy_McDowall
18532, Roger_Miller
88050, Ron_Leibman
93570, Ron_Rifkin
66817, Ron_Silver
112559, Rosemary_Harris
102612, Sam_Mendes
82284, Stephen_Dillane
97721, Stephen_Sondheim
80822, Stockard_Channing
60794, Swoosie_Kurtz
90356, Sydney_Chaplin_(actor)
85054, Thomas_Meehan_(writer)
115745, Tim_Rice
106252, Tom_Ewell
68104, Tom_Stoppard
15332, Tony_Award
25767, Una_Merkel
29157, United_States
94042, Vanessa_Redgrave
90029, Viola_Davis
30087, Wilford_Leach
60509, Zachariah_(film)
src, edge_attr, dst
53471, hasWonPrize, 77778
53471, hasWonPrize, 15332
18263, hasWonPrize, 77778
18263, hasWonPrize, 15332
17455, hasWonPrize, 77778
17455, hasWonPrize, 15332
99306, hasWonPrize, 77778
99306, hasWonPrize, 15332
29009, diedIn, 110262
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61799, hasWonPrize, 15332
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11924, hasWonPrize, 77778
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14546, hasWonPrize, 77778
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55932, hasWonPrize, 77778
55932, hasWonPrize, 15332
56478, hasWonPrize, 77778
56478, hasWonPrize, 15332
6679, actedIn, 60509
6679, hasWonPrize, 77778
6679, hasWonPrize, 15332
6679, wasBornIn, 110262
6679, wroteMusicFor, 46676
6679, wroteMusicFor, 60509
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86463, hasWonPrize, 15332
33444, hasWonPrize, 77778
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25375, hasWonPrize, 15332
89775, hasWonPrize, 77778
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110262, isLocatedIn, 29157
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13274, hasWonPrize, 15332
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83481, hasWonPrize, 15332
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Question: For what reason are Hamilton_County,_Kansas and John_Rubinstein associated?
Your output must be ONLY the PATH block.
| graph_path | {
"style": "rule"
} | {
"entities": [
"Hamilton_County,_Kansas",
"John_Rubinstein"
],
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[
"Al_Pacino",
"hasWonPrize",
"Drama_Desk_Award"
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[
"Al_Pacino",
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"Tony_Award"
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[
"Alan_Arkin",
"hasWonPrize",
"Drama_Desk_Award"
],
[
"Alan_Arkin",
"hasWonPrize",
"Tony_Award"
],
[
"Alan_Bates",
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"Drama_Desk_Award"
],
[
"Alan_Bates",
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"Tony_Award"
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[
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"Drama_Desk_Award"
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[
"Alan_Cumming",
"hasWonPrize",
"Tony_Award"
],
[
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"Los_Angeles"
],
[
"Alexis_Smith",
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"Tony_Award"
],
[
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"Drama_Desk_Award"
],
[
"Amanda_Plummer",
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[
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"Drama_Desk_Award"
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[
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[
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[
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[
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[
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"Tony_Award"
],
[
"Choices_of_the_Heart",
"isLocatedIn",
"United_States"
],
[
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],
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"Los_Angeles"
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"Tony_Award"
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[
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[
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"hasWonPrize",
"Tony_Award"
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[
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"Drama_Desk_Award"
],
[
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"Tony_Award"
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[
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[
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"Drama_Desk_Award"
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[
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"Tony_Award"
],
[
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"hasWonPrize",
"Drama_Desk_Award"
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[
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"Tony_Award"
],
[
"Fredric_March",
"diedIn",
"Los_Angeles"
],
[
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"Tony_Award"
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"Tony_Award"
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[
"Geoffrey_Rush",
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"Drama_Desk_Award"
],
[
"Geoffrey_Rush",
"hasWonPrize",
"Tony_Award"
],
[
"George_Abbott",
"hasWonPrize",
"Drama_Desk_Award"
],
[
"George_Abbott",
"hasWonPrize",
"Tony_Award"
],
[
"George_Hearn",
"hasWonPrize",
"Drama_Desk_Award"
],
[
"George_Hearn",
"hasWonPrize",
"Tony_Award"
],
[
"Gregory_Hines",
"diedIn",
"Los_Angeles"
],
[
"Gregory_Hines",
"hasWonPrize",
"Tony_Award"
],
[
"Hamilton_County,_Kansas",
"isLocatedIn",
"Kansas"
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[
"Harvey_Fierstein",
"hasWonPrize",
"Drama_Desk_Award"
],
[
"Harvey_Fierstein",
"hasWonPrize",
"Tony_Award"
],
[
"Henry_Fonda",
"diedIn",
"Los_Angeles"
],
[
"Henry_Fonda",
"hasWonPrize",
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],
[
"Ian_McKellen",
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"Drama_Desk_Award"
],
[
"Ian_McKellen",
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"Tony_Award"
],
[
"Irene_Worth",
"hasWonPrize",
"Drama_Desk_Award"
],
[
"Irene_Worth",
"hasWonPrize",
"Tony_Award"
],
[
"James_Earl_Jones",
"hasWonPrize",
"Drama_Desk_Award"
],
[
"James_Earl_Jones",
"hasWonPrize",
"Tony_Award"
],
[
"Jane_Alexander",
"hasWonPrize",
"Drama_Desk_Award"
],
[
"Jane_Alexander",
"hasWonPrize",
"Tony_Award"
],
[
"Jane_Krakowski",
"hasWonPrize",
"Drama_Desk_Award"
],
[
"Jane_Krakowski",
"hasWonPrize",
"Tony_Award"
],
[
"Janet_McTeer",
"hasWonPrize",
"Drama_Desk_Award"
],
[
"Janet_McTeer",
"hasWonPrize",
"Tony_Award"
],
[
"Jason_Alexander",
"hasWonPrize",
"Drama_Desk_Award"
],
[
"Jason_Alexander",
"hasWonPrize",
"Tony_Award"
],
[
"Jason_Robert_Brown",
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"Drama_Desk_Award"
],
[
"Jason_Robert_Brown",
"hasWonPrize",
"Tony_Award"
],
[
"Jeffrey_Wright_(actor)",
"hasWonPrize",
"Drama_Desk_Award"
],
[
"Jeffrey_Wright_(actor)",
"hasWonPrize",
"Tony_Award"
],
[
"Jessica_Tandy",
"hasWonPrize",
"Drama_Desk_Award"
],
[
"Jessica_Tandy",
"hasWonPrize",
"Tony_Award"
],
[
"Jim_Dale",
"hasWonPrize",
"Drama_Desk_Award"
],
[
"Jim_Dale",
"hasWonPrize",
"Tony_Award"
],
[
"Joan_Allen",
"hasWonPrize",
"Drama_Desk_Award"
],
[
"Joan_Allen",
"hasWonPrize",
"Tony_Award"
],
[
"Joan_Hackett",
"diedIn",
"Los_Angeles"
],
[
"Joan_Hackett",
"hasWonPrize",
"Drama_Desk_Award"
],
[
"Joanna_Gleason",
"hasWonPrize",
"Drama_Desk_Award"
],
[
"Joanna_Gleason",
"hasWonPrize",
"Tony_Award"
],
[
"Joel_Grey",
"hasWonPrize",
"Drama_Desk_Award"
],
[
"Joel_Grey",
"hasWonPrize",
"Tony_Award"
],
[
"John_Glover_(actor)",
"hasWonPrize",
"Drama_Desk_Award"
],
[
"John_Glover_(actor)",
"hasWonPrize",
"Tony_Award"
],
[
"John_Larroquette",
"hasWonPrize",
"Drama_Desk_Award"
],
[
"John_Larroquette",
"hasWonPrize",
"Tony_Award"
],
[
"John_Lithgow",
"hasWonPrize",
"Drama_Desk_Award"
],
[
"John_Lithgow",
"hasWonPrize",
"Tony_Award"
],
[
"John_Patrick_Shanley",
"hasWonPrize",
"Drama_Desk_Award"
],
[
"John_Patrick_Shanley",
"hasWonPrize",
"Tony_Award"
],
[
"John_Rubinstein",
"actedIn",
"Zachariah_(film)"
],
[
"John_Rubinstein",
"hasWonPrize",
"Drama_Desk_Award"
],
[
"John_Rubinstein",
"hasWonPrize",
"Tony_Award"
],
[
"John_Rubinstein",
"wasBornIn",
"Los_Angeles"
],
[
"John_Rubinstein",
"wroteMusicFor",
"Choices_of_the_Heart"
],
[
"John_Rubinstein",
"wroteMusicFor",
"Zachariah_(film)"
],
[
"John_Wood_(English_actor)",
"hasWonPrize",
"Drama_Desk_Award"
],
[
"John_Wood_(English_actor)",
"hasWonPrize",
"Tony_Award"
],
[
"Jonathan_Pryce",
"hasWonPrize",
"Drama_Desk_Award"
],
[
"Jonathan_Pryce",
"hasWonPrize",
"Tony_Award"
],
[
"Judd_Hirsch",
"hasWonPrize",
"Drama_Desk_Award"
],
[
"Judd_Hirsch",
"hasWonPrize",
"Tony_Award"
],
[
"Judith_Ivey",
"hasWonPrize",
"Drama_Desk_Award"
],
[
"Judith_Ivey",
"hasWonPrize",
"Tony_Award"
],
[
"Judith_Light",
"hasWonPrize",
"Drama_Desk_Award"
],
[
"Judith_Light",
"hasWonPrize",
"Tony_Award"
],
[
"Kansas",
"isLocatedIn",
"United_States"
],
[
"Kevin_Kline",
"hasWonPrize",
"Drama_Desk_Award"
],
[
"Kevin_Kline",
"hasWonPrize",
"Tony_Award"
],
[
"Kristin_Chenoweth",
"hasWonPrize",
"Drama_Desk_Award"
],
[
"Kristin_Chenoweth",
"hasWonPrize",
"Tony_Award"
],
[
"Larry_Gelbart",
"hasWonPrize",
"Drama_Desk_Award"
],
[
"Larry_Gelbart",
"hasWonPrize",
"Tony_Award"
],
[
"Laurence_Fishburne",
"hasWonPrize",
"Drama_Desk_Award"
],
[
"Laurence_Fishburne",
"hasWonPrize",
"Tony_Award"
],
[
"Lena_Horne",
"hasWonPrize",
"Drama_Desk_Award"
],
[
"Lena_Horne",
"hasWonPrize",
"Tony_Award"
],
[
"Liev_Schreiber",
"hasWonPrize",
"Drama_Desk_Award"
],
[
"Liev_Schreiber",
"hasWonPrize",
"Tony_Award"
],
[
"Liza_Minnelli",
"hasWonPrize",
"Tony_Award"
],
[
"Liza_Minnelli",
"wasBornIn",
"Los_Angeles"
],
[
"Los_Angeles",
"isLocatedIn",
"United_States"
],
[
"Madeline_Kahn",
"hasWonPrize",
"Drama_Desk_Award"
],
[
"Madeline_Kahn",
"hasWonPrize",
"Tony_Award"
],
[
"Mark_Rylance",
"hasWonPrize",
"Drama_Desk_Award"
],
[
"Mark_Rylance",
"hasWonPrize",
"Tony_Award"
],
[
"Marvin_Hamlisch",
"diedIn",
"Los_Angeles"
],
[
"Marvin_Hamlisch",
"hasWonPrize",
"Drama_Desk_Award"
],
[
"Marvin_Hamlisch",
"hasWonPrize",
"Tony_Award"
],
[
"Mary-Louise_Parker",
"hasWonPrize",
"Drama_Desk_Award"
],
[
"Mary-Louise_Parker",
"hasWonPrize",
"Tony_Award"
],
[
"Mary_Alice",
"hasWonPrize",
"Drama_Desk_Award"
],
[
"Mary_Alice",
"hasWonPrize",
"Tony_Award"
],
[
"Maureen_Stapleton",
"hasWonPrize",
"Drama_Desk_Award"
],
[
"Maureen_Stapleton",
"hasWonPrize",
"Tony_Award"
],
[
"Melissa_Gilbert",
"actedIn",
"Choices_of_the_Heart"
],
[
"Melissa_Gilbert",
"wasBornIn",
"Los_Angeles"
],
[
"Mercedes_Ruehl",
"hasWonPrize",
"Drama_Desk_Award"
],
[
"Mercedes_Ruehl",
"hasWonPrize",
"Tony_Award"
],
[
"Michael_Crawford",
"hasWonPrize",
"Drama_Desk_Award"
],
[
"Michael_Crawford",
"hasWonPrize",
"Tony_Award"
],
[
"Michael_Gough",
"hasWonPrize",
"Drama_Desk_Award"
],
[
"Michael_Gough",
"hasWonPrize",
"Tony_Award"
],
[
"Michael_Jeter",
"diedIn",
"Los_Angeles"
],
[
"Michael_Jeter",
"hasWonPrize",
"Drama_Desk_Award"
],
[
"Michael_Jeter",
"hasWonPrize",
"Tony_Award"
],
[
"Mike_Nichols",
"hasWonPrize",
"Drama_Desk_Award"
],
[
"Mike_Nichols",
"hasWonPrize",
"Tony_Award"
],
[
"Natasha_Richardson",
"hasWonPrize",
"Drama_Desk_Award"
],
[
"Natasha_Richardson",
"hasWonPrize",
"Tony_Award"
],
[
"Nathan_Lane",
"hasWonPrize",
"Drama_Desk_Award"
],
[
"Nathan_Lane",
"hasWonPrize",
"Tony_Award"
],
[
"Ned_Beatty",
"hasWonPrize",
"Drama_Desk_Award"
],
[
"Ned_Beatty",
"livesIn",
"Los_Angeles"
],
[
"Neil_Patrick_Harris",
"hasWonPrize",
"Drama_Desk_Award"
],
[
"Neil_Patrick_Harris",
"hasWonPrize",
"Tony_Award"
],
[
"Neil_Simon",
"hasWonPrize",
"Drama_Desk_Award"
],
[
"Neil_Simon",
"hasWonPrize",
"Tony_Award"
],
[
"Nell_Carter",
"hasWonPrize",
"Drama_Desk_Award"
],
[
"Nell_Carter",
"hasWonPrize",
"Tony_Award"
],
[
"Nicholas_Dante",
"hasWonPrize",
"Drama_Desk_Award"
],
[
"Nicholas_Dante",
"hasWonPrize",
"Tony_Award"
],
[
"Pauline_Collins",
"hasWonPrize",
"Drama_Desk_Award"
],
[
"Pauline_Collins",
"hasWonPrize",
"Tony_Award"
],
[
"Peter_Bergman_(comedian)",
"created",
"Zachariah_(film)"
],
[
"Peter_Bergman_(comedian)",
"livesIn",
"Los_Angeles"
],
[
"Phil_Silvers",
"diedIn",
"Los_Angeles"
],
[
"Phil_Silvers",
"hasWonPrize",
"Tony_Award"
],
[
"Philip_Bosco",
"hasWonPrize",
"Drama_Desk_Award"
],
[
"Philip_Bosco",
"hasWonPrize",
"Tony_Award"
],
[
"Rachel_Roberts_(actress)",
"diedIn",
"Los_Angeles"
],
[
"Rachel_Roberts_(actress)",
"hasWonPrize",
"Drama_Desk_Award"
],
[
"Ralph_Burns",
"diedIn",
"Los_Angeles"
],
[
"Ralph_Burns",
"hasWonPrize",
"Tony_Award"
],
[
"Ralph_Fiennes",
"hasWonPrize",
"Drama_Desk_Award"
],
[
"Ralph_Fiennes",
"hasWonPrize",
"Tony_Award"
],
[
"Ray_Bolger",
"diedIn",
"Los_Angeles"
],
[
"Ray_Bolger",
"hasWonPrize",
"Tony_Award"
],
[
"René_Auberjonois",
"hasWonPrize",
"Drama_Desk_Award"
],
[
"René_Auberjonois",
"hasWonPrize",
"Tony_Award"
],
[
"Rex_Harrison",
"hasWonPrize",
"Drama_Desk_Award"
],
[
"Rex_Harrison",
"hasWonPrize",
"Tony_Award"
],
[
"Richard_Griffiths",
"hasWonPrize",
"Drama_Desk_Award"
],
[
"Richard_Griffiths",
"hasWonPrize",
"Tony_Award"
],
[
"Richard_Nelson_(playwright)",
"hasWonPrize",
"Drama_Desk_Award"
],
[
"Richard_Nelson_(playwright)",
"hasWonPrize",
"Tony_Award"
],
[
"Robert_Alda",
"diedIn",
"Los_Angeles"
],
[
"Robert_Alda",
"hasWonPrize",
"Tony_Award"
],
[
"Robert_Goulet",
"diedIn",
"Los_Angeles"
],
[
"Robert_Goulet",
"hasWonPrize",
"Tony_Award"
],
[
"Robert_Morse",
"hasWonPrize",
"Drama_Desk_Award"
],
[
"Robert_Morse",
"hasWonPrize",
"Tony_Award"
],
[
"Roddy_McDowall",
"diedIn",
"Los_Angeles"
],
[
"Roddy_McDowall",
"hasWonPrize",
"Tony_Award"
],
[
"Roger_Miller",
"diedIn",
"Los_Angeles"
],
[
"Roger_Miller",
"hasWonPrize",
"Tony_Award"
],
[
"Ron_Leibman",
"hasWonPrize",
"Drama_Desk_Award"
],
[
"Ron_Leibman",
"hasWonPrize",
"Tony_Award"
],
[
"Ron_Rifkin",
"hasWonPrize",
"Drama_Desk_Award"
],
[
"Ron_Rifkin",
"hasWonPrize",
"Tony_Award"
],
[
"Ron_Silver",
"hasWonPrize",
"Drama_Desk_Award"
],
[
"Ron_Silver",
"hasWonPrize",
"Tony_Award"
],
[
"Rosemary_Harris",
"hasWonPrize",
"Drama_Desk_Award"
],
[
"Rosemary_Harris",
"hasWonPrize",
"Tony_Award"
],
[
"Sam_Mendes",
"hasWonPrize",
"Drama_Desk_Award"
],
[
"Sam_Mendes",
"hasWonPrize",
"Tony_Award"
],
[
"Stephen_Dillane",
"hasWonPrize",
"Drama_Desk_Award"
],
[
"Stephen_Dillane",
"hasWonPrize",
"Tony_Award"
],
[
"Stephen_Sondheim",
"hasWonPrize",
"Drama_Desk_Award"
],
[
"Stephen_Sondheim",
"hasWonPrize",
"Tony_Award"
],
[
"Stockard_Channing",
"hasWonPrize",
"Drama_Desk_Award"
],
[
"Stockard_Channing",
"hasWonPrize",
"Tony_Award"
],
[
"Swoosie_Kurtz",
"hasWonPrize",
"Drama_Desk_Award"
],
[
"Swoosie_Kurtz",
"hasWonPrize",
"Tony_Award"
],
[
"Sydney_Chaplin_(actor)",
"hasWonPrize",
"Tony_Award"
],
[
"Sydney_Chaplin_(actor)",
"wasBornIn",
"Los_Angeles"
],
[
"Thomas_Meehan_(writer)",
"hasWonPrize",
"Drama_Desk_Award"
],
[
"Thomas_Meehan_(writer)",
"hasWonPrize",
"Tony_Award"
],
[
"Tim_Rice",
"hasWonPrize",
"Drama_Desk_Award"
],
[
"Tim_Rice",
"hasWonPrize",
"Tony_Award"
],
[
"Tom_Ewell",
"diedIn",
"Los_Angeles"
],
[
"Tom_Ewell",
"hasWonPrize",
"Tony_Award"
],
[
"Tom_Stoppard",
"hasWonPrize",
"Drama_Desk_Award"
],
[
"Tom_Stoppard",
"hasWonPrize",
"Tony_Award"
],
[
"Tony_Award",
"isLocatedIn",
"United_States"
],
[
"Una_Merkel",
"diedIn",
"Los_Angeles"
],
[
"Una_Merkel",
"hasWonPrize",
"Tony_Award"
],
[
"Vanessa_Redgrave",
"hasWonPrize",
"Drama_Desk_Award"
],
[
"Vanessa_Redgrave",
"hasWonPrize",
"Tony_Award"
],
[
"Viola_Davis",
"hasWonPrize",
"Drama_Desk_Award"
],
[
"Viola_Davis",
"hasWonPrize",
"Tony_Award"
],
[
"Wilford_Leach",
"hasWonPrize",
"Drama_Desk_Award"
],
[
"Wilford_Leach",
"hasWonPrize",
"Tony_Award"
],
[
"Zachariah_(film)",
"isLocatedIn",
"United_States"
]
],
"ground_truth": [],
"gt_cost": null
} |
YAGO |
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
4903, Africa
5074, Algeria
108086, Canada
45863, China
52345, French_language
116954, Madagascar
61351, Mauritius
72417, Ontario_Power_Generation
95886, Port_Louis
69057, South_Africa
24598, Spain
99322, wordnet_chemical_114806838
src, edge_attr, dst
5074, dealsWith, 108086
5074, isLocatedIn, 4903
108086, dealsWith, 45863
108086, hasOfficialLanguage, 52345
108086, imports, 99322
116954, dealsWith, 108086
116954, dealsWith, 61351
116954, isLocatedIn, 4903
61351, dealsWith, 45863
61351, dealsWith, 116954
61351, dealsWith, 69057
61351, dealsWith, 24598
61351, hasCapital, 95886
61351, hasOfficialLanguage, 52345
61351, imports, 99322
61351, isLocatedIn, 4903
72417, isLocatedIn, 108086
95886, isLocatedIn, 4903
95886, isLocatedIn, 61351
69057, isLocatedIn, 4903
24598, isLocatedIn, 4903
Question: In what context are Ontario_Power_Generation and Port_Louis connected?
Your output must be ONLY the PATH block.
| graph_path | {
"style": "rule"
} | {
"entities": [
"Ontario_Power_Generation",
"Port_Louis"
],
"valid_edges": [
[
"Algeria",
"dealsWith",
"Canada"
],
[
"Algeria",
"isLocatedIn",
"Africa"
],
[
"Canada",
"dealsWith",
"China"
],
[
"Canada",
"hasOfficialLanguage",
"French_language"
],
[
"Canada",
"imports",
"wordnet_chemical_114806838"
],
[
"Madagascar",
"dealsWith",
"Canada"
],
[
"Madagascar",
"dealsWith",
"Mauritius"
],
[
"Madagascar",
"isLocatedIn",
"Africa"
],
[
"Mauritius",
"dealsWith",
"China"
],
[
"Mauritius",
"dealsWith",
"Madagascar"
],
[
"Mauritius",
"dealsWith",
"South_Africa"
],
[
"Mauritius",
"dealsWith",
"Spain"
],
[
"Mauritius",
"hasCapital",
"Port_Louis"
],
[
"Mauritius",
"hasOfficialLanguage",
"French_language"
],
[
"Mauritius",
"imports",
"wordnet_chemical_114806838"
],
[
"Mauritius",
"isLocatedIn",
"Africa"
],
[
"Ontario_Power_Generation",
"isLocatedIn",
"Canada"
],
[
"Port_Louis",
"isLocatedIn",
"Africa"
],
[
"Port_Louis",
"isLocatedIn",
"Mauritius"
],
[
"South_Africa",
"isLocatedIn",
"Africa"
],
[
"Spain",
"isLocatedIn",
"Africa"
]
],
"ground_truth": [],
"gt_cost": null
} |
YAGO |
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
57323, Cercle_Brugge_K.S.V.
37150, Dominic_Foley
27778, Greg_Cunningham
48275, Republic_of_Ireland_national_under-21_football_team
44592, Reynaldo_dos_Santos_Silva
42788, Tony_Kane
src, edge_attr, dst
37150, isAffiliatedTo, 57323
37150, isAffiliatedTo, 48275
37150, playsFor, 57323
27778, isAffiliatedTo, 48275
27778, playsFor, 48275
44592, isAffiliatedTo, 57323
44592, playsFor, 57323
42788, isAffiliatedTo, 57323
42788, isAffiliatedTo, 48275
42788, playsFor, 57323
42788, playsFor, 48275
Question: How are Greg_Cunningham and Reynaldo_dos_Santos_Silva related?
Your output must be ONLY the PATH block.
| graph_path | {
"style": "rule"
} | {
"entities": [
"Greg_Cunningham",
"Reynaldo_dos_Santos_Silva"
],
"valid_edges": [
[
"Dominic_Foley",
"isAffiliatedTo",
"Cercle_Brugge_K.S.V."
],
[
"Dominic_Foley",
"isAffiliatedTo",
"Republic_of_Ireland_national_under-21_football_team"
],
[
"Dominic_Foley",
"playsFor",
"Cercle_Brugge_K.S.V."
],
[
"Greg_Cunningham",
"isAffiliatedTo",
"Republic_of_Ireland_national_under-21_football_team"
],
[
"Greg_Cunningham",
"playsFor",
"Republic_of_Ireland_national_under-21_football_team"
],
[
"Reynaldo_dos_Santos_Silva",
"isAffiliatedTo",
"Cercle_Brugge_K.S.V."
],
[
"Reynaldo_dos_Santos_Silva",
"playsFor",
"Cercle_Brugge_K.S.V."
],
[
"Tony_Kane",
"isAffiliatedTo",
"Cercle_Brugge_K.S.V."
],
[
"Tony_Kane",
"isAffiliatedTo",
"Republic_of_Ireland_national_under-21_football_team"
],
[
"Tony_Kane",
"playsFor",
"Cercle_Brugge_K.S.V."
],
[
"Tony_Kane",
"playsFor",
"Republic_of_Ireland_national_under-21_football_team"
]
],
"ground_truth": [],
"gt_cost": null
} |
YAGO |
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
19018, Artūras_Rimkevičius
35001, Darius_Gvildys
99832, Darius_Miceika
38527, FK_Liepājas_Metalurgs
94493, Lithuania_national_football_team
1722, Marius_Skinderis
84526, Mindaugas_Kalonas
98326, Nerijus_Astrauskas
72144, Nerijus_Barasa
93850, Ričardas_Beniušis
3520, Tomas_Tamošauskas
38626, Tuscaloosa
29157, United_States
42752, Vadimas_Petrenko
58673, William_S._Burroughs,_Jr.
src, edge_attr, dst
19018, isAffiliatedTo, 38527
19018, isAffiliatedTo, 94493
19018, playsFor, 38527
19018, playsFor, 94493
35001, isAffiliatedTo, 38527
35001, isAffiliatedTo, 94493
35001, playsFor, 38527
35001, playsFor, 94493
99832, isAffiliatedTo, 38527
99832, isAffiliatedTo, 94493
99832, playsFor, 38527
1722, isAffiliatedTo, 38527
1722, isAffiliatedTo, 94493
1722, playsFor, 38527
1722, playsFor, 94493
84526, isAffiliatedTo, 38527
84526, isAffiliatedTo, 94493
84526, playsFor, 38527
84526, playsFor, 94493
98326, isAffiliatedTo, 38527
98326, isAffiliatedTo, 94493
98326, playsFor, 38527
98326, playsFor, 94493
72144, isAffiliatedTo, 38527
72144, isAffiliatedTo, 94493
72144, playsFor, 38527
93850, isAffiliatedTo, 38527
93850, isAffiliatedTo, 94493
93850, playsFor, 38527
93850, playsFor, 94493
3520, isAffiliatedTo, 38527
3520, isAffiliatedTo, 94493
3520, playsFor, 38527
3520, playsFor, 94493
38626, isLocatedIn, 29157
42752, isAffiliatedTo, 38527
42752, isAffiliatedTo, 94493
42752, playsFor, 38527
58673, isCitizenOf, 29157
58673, playsFor, 38527
58673, playsFor, 94493
Question: In what context are Tomas_Tamošauskas and Tuscaloosa connected?
Your output must be ONLY the PATH block.
| graph_path | {
"style": "rule"
} | {
"entities": [
"Tomas_Tamošauskas",
"Tuscaloosa"
],
"valid_edges": [
[
"Artūras_Rimkevičius",
"isAffiliatedTo",
"FK_Liepājas_Metalurgs"
],
[
"Artūras_Rimkevičius",
"isAffiliatedTo",
"Lithuania_national_football_team"
],
[
"Artūras_Rimkevičius",
"playsFor",
"FK_Liepājas_Metalurgs"
],
[
"Artūras_Rimkevičius",
"playsFor",
"Lithuania_national_football_team"
],
[
"Darius_Gvildys",
"isAffiliatedTo",
"FK_Liepājas_Metalurgs"
],
[
"Darius_Gvildys",
"isAffiliatedTo",
"Lithuania_national_football_team"
],
[
"Darius_Gvildys",
"playsFor",
"FK_Liepājas_Metalurgs"
],
[
"Darius_Gvildys",
"playsFor",
"Lithuania_national_football_team"
],
[
"Darius_Miceika",
"isAffiliatedTo",
"FK_Liepājas_Metalurgs"
],
[
"Darius_Miceika",
"isAffiliatedTo",
"Lithuania_national_football_team"
],
[
"Darius_Miceika",
"playsFor",
"FK_Liepājas_Metalurgs"
],
[
"Marius_Skinderis",
"isAffiliatedTo",
"FK_Liepājas_Metalurgs"
],
[
"Marius_Skinderis",
"isAffiliatedTo",
"Lithuania_national_football_team"
],
[
"Marius_Skinderis",
"playsFor",
"FK_Liepājas_Metalurgs"
],
[
"Marius_Skinderis",
"playsFor",
"Lithuania_national_football_team"
],
[
"Mindaugas_Kalonas",
"isAffiliatedTo",
"FK_Liepājas_Metalurgs"
],
[
"Mindaugas_Kalonas",
"isAffiliatedTo",
"Lithuania_national_football_team"
],
[
"Mindaugas_Kalonas",
"playsFor",
"FK_Liepājas_Metalurgs"
],
[
"Mindaugas_Kalonas",
"playsFor",
"Lithuania_national_football_team"
],
[
"Nerijus_Astrauskas",
"isAffiliatedTo",
"FK_Liepājas_Metalurgs"
],
[
"Nerijus_Astrauskas",
"isAffiliatedTo",
"Lithuania_national_football_team"
],
[
"Nerijus_Astrauskas",
"playsFor",
"FK_Liepājas_Metalurgs"
],
[
"Nerijus_Astrauskas",
"playsFor",
"Lithuania_national_football_team"
],
[
"Nerijus_Barasa",
"isAffiliatedTo",
"FK_Liepājas_Metalurgs"
],
[
"Nerijus_Barasa",
"isAffiliatedTo",
"Lithuania_national_football_team"
],
[
"Nerijus_Barasa",
"playsFor",
"FK_Liepājas_Metalurgs"
],
[
"Ričardas_Beniušis",
"isAffiliatedTo",
"FK_Liepājas_Metalurgs"
],
[
"Ričardas_Beniušis",
"isAffiliatedTo",
"Lithuania_national_football_team"
],
[
"Ričardas_Beniušis",
"playsFor",
"FK_Liepājas_Metalurgs"
],
[
"Ričardas_Beniušis",
"playsFor",
"Lithuania_national_football_team"
],
[
"Tomas_Tamošauskas",
"isAffiliatedTo",
"FK_Liepājas_Metalurgs"
],
[
"Tomas_Tamošauskas",
"isAffiliatedTo",
"Lithuania_national_football_team"
],
[
"Tomas_Tamošauskas",
"playsFor",
"FK_Liepājas_Metalurgs"
],
[
"Tomas_Tamošauskas",
"playsFor",
"Lithuania_national_football_team"
],
[
"Tuscaloosa",
"isLocatedIn",
"United_States"
],
[
"Vadimas_Petrenko",
"isAffiliatedTo",
"FK_Liepājas_Metalurgs"
],
[
"Vadimas_Petrenko",
"isAffiliatedTo",
"Lithuania_national_football_team"
],
[
"Vadimas_Petrenko",
"playsFor",
"FK_Liepājas_Metalurgs"
],
[
"William_S._Burroughs,_Jr.",
"isCitizenOf",
"United_States"
],
[
"William_S._Burroughs,_Jr.",
"playsFor",
"FK_Liepājas_Metalurgs"
],
[
"William_S._Burroughs,_Jr.",
"playsFor",
"Lithuania_national_football_team"
]
],
"ground_truth": [],
"gt_cost": null
} |
YAGO |
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
79039, Alain_Souchon
7191, Saleh_al-Mutlaq
118104, male
src, edge_attr, dst
79039, hasGender, 118104
7191, hasGender, 118104
Question: How are Alain_Souchon and Saleh_al-Mutlaq related?
Your output must be ONLY the PATH block.
| graph_path | {
"style": "rule"
} | {
"entities": [
"Alain_Souchon",
"Saleh_al-Mutlaq"
],
"valid_edges": [
[
"Alain_Souchon",
"hasGender",
"male"
],
[
"Saleh_al-Mutlaq",
"hasGender",
"male"
]
],
"ground_truth": [],
"gt_cost": null
} |
YAGO |
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
109229, A.S._Saint-Étienne
47310, Cardiff
93636, John_Toshack
87546, South_Wales
100452, Sylvain_Marchal
src, edge_attr, dst
47310, isLocatedIn, 87546
93636, isAffiliatedTo, 109229
93636, wasBornIn, 47310
100452, isAffiliatedTo, 109229
Question: In what context are South_Wales and Sylvain_Marchal connected?
Your output must be ONLY the PATH block.
| graph_path | {
"style": "rule"
} | {
"entities": [
"South_Wales",
"Sylvain_Marchal"
],
"valid_edges": [
[
"Cardiff",
"isLocatedIn",
"South_Wales"
],
[
"John_Toshack",
"isAffiliatedTo",
"A.S._Saint-Étienne"
],
[
"John_Toshack",
"wasBornIn",
"Cardiff"
],
[
"Sylvain_Marchal",
"isAffiliatedTo",
"A.S._Saint-Étienne"
]
],
"ground_truth": [],
"gt_cost": null
} |
YAGO |
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
57029, A.C._Pisa_1909_S.S.D.
115238, A.C._Prato
106244, Christ_Bongo
28387, Christian_Vieri
112888, Eddy_Baggio
21018, FC_Schaffhausen
88110, Gianluca_Signorini
76538, Giuseppe_Galluzzi
32225, Mirco_Gasparetto
113569, Remo_Staubli
7939, Vincenzo_Palumbo
34667, de/Ilario_Castagner
src, edge_attr, dst
106244, isAffiliatedTo, 115238
106244, isAffiliatedTo, 21018
106244, playsFor, 115238
106244, playsFor, 21018
28387, isAffiliatedTo, 57029
28387, isAffiliatedTo, 115238
112888, isAffiliatedTo, 57029
112888, isAffiliatedTo, 115238
112888, playsFor, 115238
88110, isAffiliatedTo, 57029
88110, isAffiliatedTo, 115238
88110, playsFor, 115238
76538, isAffiliatedTo, 57029
76538, isAffiliatedTo, 115238
32225, isAffiliatedTo, 57029
32225, isAffiliatedTo, 115238
32225, playsFor, 115238
113569, isAffiliatedTo, 21018
113569, playsFor, 21018
7939, isAffiliatedTo, 57029
7939, isAffiliatedTo, 21018
7939, playsFor, 21018
34667, isAffiliatedTo, 57029
34667, isAffiliatedTo, 115238
Question: For what reason are Christian_Vieri and Remo_Staubli associated?
Your output must be ONLY the PATH block.
| graph_path | {
"style": "rule"
} | {
"entities": [
"Christian_Vieri",
"Remo_Staubli"
],
"valid_edges": [
[
"Christ_Bongo",
"isAffiliatedTo",
"A.C._Prato"
],
[
"Christ_Bongo",
"isAffiliatedTo",
"FC_Schaffhausen"
],
[
"Christ_Bongo",
"playsFor",
"A.C._Prato"
],
[
"Christ_Bongo",
"playsFor",
"FC_Schaffhausen"
],
[
"Christian_Vieri",
"isAffiliatedTo",
"A.C._Pisa_1909_S.S.D."
],
[
"Christian_Vieri",
"isAffiliatedTo",
"A.C._Prato"
],
[
"Eddy_Baggio",
"isAffiliatedTo",
"A.C._Pisa_1909_S.S.D."
],
[
"Eddy_Baggio",
"isAffiliatedTo",
"A.C._Prato"
],
[
"Eddy_Baggio",
"playsFor",
"A.C._Prato"
],
[
"Gianluca_Signorini",
"isAffiliatedTo",
"A.C._Pisa_1909_S.S.D."
],
[
"Gianluca_Signorini",
"isAffiliatedTo",
"A.C._Prato"
],
[
"Gianluca_Signorini",
"playsFor",
"A.C._Prato"
],
[
"Giuseppe_Galluzzi",
"isAffiliatedTo",
"A.C._Pisa_1909_S.S.D."
],
[
"Giuseppe_Galluzzi",
"isAffiliatedTo",
"A.C._Prato"
],
[
"Mirco_Gasparetto",
"isAffiliatedTo",
"A.C._Pisa_1909_S.S.D."
],
[
"Mirco_Gasparetto",
"isAffiliatedTo",
"A.C._Prato"
],
[
"Mirco_Gasparetto",
"playsFor",
"A.C._Prato"
],
[
"Remo_Staubli",
"isAffiliatedTo",
"FC_Schaffhausen"
],
[
"Remo_Staubli",
"playsFor",
"FC_Schaffhausen"
],
[
"Vincenzo_Palumbo",
"isAffiliatedTo",
"A.C._Pisa_1909_S.S.D."
],
[
"Vincenzo_Palumbo",
"isAffiliatedTo",
"FC_Schaffhausen"
],
[
"Vincenzo_Palumbo",
"playsFor",
"FC_Schaffhausen"
],
[
"de/Ilario_Castagner",
"isAffiliatedTo",
"A.C._Pisa_1909_S.S.D."
],
[
"de/Ilario_Castagner",
"isAffiliatedTo",
"A.C._Prato"
]
],
"ground_truth": [],
"gt_cost": null
} |
YAGO |
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
32497, Božo_Janković
6517, Bursaspor
6165, Christian_Karembeu
49421, Colin_Kazim-Richards
69739, Elvir_Baljić
18536, Erol_Bulut
118395, Fernando_Belluschi
113657, George_Camsell
30995, Leonel_Núñez
37744, Middlesbrough_F.C.
107916, Mirza_Varešanović
50334, Olympiacos_F.C.
72961, Sarajevo
990, Senad_Repuh
81147, Tuncay_Şanlı
src, edge_attr, dst
32497, isAffiliatedTo, 37744
32497, playsFor, 37744
32497, wasBornIn, 72961
6165, isAffiliatedTo, 37744
6165, isAffiliatedTo, 50334
6165, playsFor, 37744
6165, playsFor, 50334
49421, isAffiliatedTo, 6517
49421, isAffiliatedTo, 50334
49421, playsFor, 6517
49421, playsFor, 50334
69739, isAffiliatedTo, 6517
69739, playsFor, 6517
69739, wasBornIn, 72961
18536, isAffiliatedTo, 6517
18536, isAffiliatedTo, 50334
18536, playsFor, 6517
18536, playsFor, 50334
118395, isAffiliatedTo, 6517
118395, isAffiliatedTo, 50334
118395, playsFor, 6517
118395, playsFor, 50334
113657, isAffiliatedTo, 37744
113657, playsFor, 37744
30995, isAffiliatedTo, 6517
30995, isAffiliatedTo, 50334
30995, playsFor, 6517
30995, playsFor, 50334
107916, isAffiliatedTo, 6517
107916, isAffiliatedTo, 50334
107916, playsFor, 6517
107916, playsFor, 50334
107916, wasBornIn, 72961
990, isAffiliatedTo, 6517
990, playsFor, 6517
990, wasBornIn, 72961
81147, isAffiliatedTo, 6517
81147, isAffiliatedTo, 37744
81147, playsFor, 6517
81147, playsFor, 37744
Question: How are George_Camsell and Mirza_Varešanović related?
Your output must be ONLY the PATH block.
| graph_path | {
"style": "rule"
} | {
"entities": [
"George_Camsell",
"Mirza_Varešanović"
],
"valid_edges": [
[
"Božo_Janković",
"isAffiliatedTo",
"Middlesbrough_F.C."
],
[
"Božo_Janković",
"playsFor",
"Middlesbrough_F.C."
],
[
"Božo_Janković",
"wasBornIn",
"Sarajevo"
],
[
"Christian_Karembeu",
"isAffiliatedTo",
"Middlesbrough_F.C."
],
[
"Christian_Karembeu",
"isAffiliatedTo",
"Olympiacos_F.C."
],
[
"Christian_Karembeu",
"playsFor",
"Middlesbrough_F.C."
],
[
"Christian_Karembeu",
"playsFor",
"Olympiacos_F.C."
],
[
"Colin_Kazim-Richards",
"isAffiliatedTo",
"Bursaspor"
],
[
"Colin_Kazim-Richards",
"isAffiliatedTo",
"Olympiacos_F.C."
],
[
"Colin_Kazim-Richards",
"playsFor",
"Bursaspor"
],
[
"Colin_Kazim-Richards",
"playsFor",
"Olympiacos_F.C."
],
[
"Elvir_Baljić",
"isAffiliatedTo",
"Bursaspor"
],
[
"Elvir_Baljić",
"playsFor",
"Bursaspor"
],
[
"Elvir_Baljić",
"wasBornIn",
"Sarajevo"
],
[
"Erol_Bulut",
"isAffiliatedTo",
"Bursaspor"
],
[
"Erol_Bulut",
"isAffiliatedTo",
"Olympiacos_F.C."
],
[
"Erol_Bulut",
"playsFor",
"Bursaspor"
],
[
"Erol_Bulut",
"playsFor",
"Olympiacos_F.C."
],
[
"Fernando_Belluschi",
"isAffiliatedTo",
"Bursaspor"
],
[
"Fernando_Belluschi",
"isAffiliatedTo",
"Olympiacos_F.C."
],
[
"Fernando_Belluschi",
"playsFor",
"Bursaspor"
],
[
"Fernando_Belluschi",
"playsFor",
"Olympiacos_F.C."
],
[
"George_Camsell",
"isAffiliatedTo",
"Middlesbrough_F.C."
],
[
"George_Camsell",
"playsFor",
"Middlesbrough_F.C."
],
[
"Leonel_Núñez",
"isAffiliatedTo",
"Bursaspor"
],
[
"Leonel_Núñez",
"isAffiliatedTo",
"Olympiacos_F.C."
],
[
"Leonel_Núñez",
"playsFor",
"Bursaspor"
],
[
"Leonel_Núñez",
"playsFor",
"Olympiacos_F.C."
],
[
"Mirza_Varešanović",
"isAffiliatedTo",
"Bursaspor"
],
[
"Mirza_Varešanović",
"isAffiliatedTo",
"Olympiacos_F.C."
],
[
"Mirza_Varešanović",
"playsFor",
"Bursaspor"
],
[
"Mirza_Varešanović",
"playsFor",
"Olympiacos_F.C."
],
[
"Mirza_Varešanović",
"wasBornIn",
"Sarajevo"
],
[
"Senad_Repuh",
"isAffiliatedTo",
"Bursaspor"
],
[
"Senad_Repuh",
"playsFor",
"Bursaspor"
],
[
"Senad_Repuh",
"wasBornIn",
"Sarajevo"
],
[
"Tuncay_Şanlı",
"isAffiliatedTo",
"Bursaspor"
],
[
"Tuncay_Şanlı",
"isAffiliatedTo",
"Middlesbrough_F.C."
],
[
"Tuncay_Şanlı",
"playsFor",
"Bursaspor"
],
[
"Tuncay_Şanlı",
"playsFor",
"Middlesbrough_F.C."
]
],
"ground_truth": [],
"gt_cost": null
} |
YAGO |
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
12781, Adrián_Zermeño
34097, Alejandro_Mancuso
118534, Antonio_Mohamed
104920, Augusto_Recife
62074, Bosco_Frontán
100020, Botafogo_F.R.
101076, Botafogo_de_Futebol_e_Regatas
20477, Bruno_Carvalho
107669, C.A._Bella_Vista
116239, C.D._Suchitepéquez
43435, C.F._Monterrey
29004, Carlos_Alberto_Torres
116864, Chiapas_F.C.
85797, Club_León
97356, Club_Tijuana
112842, Club_Universidad_Nacional
83571, Clube_de_Regatas_do_Flamengo
88114, Cássio_Oliveira
26767, Dadá_Maravilha
56045, Dayro_Moreno
49395, Denni_Rocha_dos_Santos
36254, Dill_(footballer)
99622, Dênis_Marques
109946, Egidio_Arévalo
9311, Estudiantes_Tecos
766, Evaristo_de_Macedo
20646, Flavio_Rogerio
30693, Gerardo_Galindo
56225, Ignacio_Carrasco
55225, Iranildo_Hermínio_Ferreira
89245, José_Guadalupe_Martínez
113884, Leandro_Augusto
25731, Luiz_Antônio_de_Oliveira
104890, Marcelo_Gonçalves_Costa_Lopes
6523, Marcos_Vicente_dos_Santos
19215, Miguel_Ángel_Fraga
48605, Moacyr_Filho
32035, Once_Caldas
26471, Oscar_Dautt
71648, Paulo_Marcel_Pereira_Merabet
47831, Peñarol
107852, Puebla_F.C.
92452, Querétaro_F.C.
90230, Reginaldo_Araújo
52984, Ricardo_Roberto_Barreto_da_Rocha
48307, Rio_de_Janeiro
35689, Rodrigo_Gral
98337, Santa_Cruz_Futebol_Clube
112480, Sergio_Matto
102562, Tigres_UANL
43562, de/Everaldo_Begines
src, edge_attr, dst
12781, isAffiliatedTo, 116864
12781, isAffiliatedTo, 97356
12781, isAffiliatedTo, 92452
12781, isAffiliatedTo, 102562
12781, playsFor, 116864
12781, playsFor, 97356
12781, playsFor, 92452
12781, playsFor, 102562
34097, isAffiliatedTo, 83571
34097, isAffiliatedTo, 98337
34097, playsFor, 83571
34097, playsFor, 98337
118534, isAffiliatedTo, 43435
118534, isAffiliatedTo, 116864
118534, isAffiliatedTo, 97356
118534, playsFor, 43435
104920, isAffiliatedTo, 83571
104920, isAffiliatedTo, 98337
104920, playsFor, 83571
104920, playsFor, 98337
62074, isAffiliatedTo, 107669
62074, isAffiliatedTo, 97356
62074, isAffiliatedTo, 47831
62074, isAffiliatedTo, 92452
62074, playsFor, 107669
62074, playsFor, 97356
62074, playsFor, 47831
62074, playsFor, 92452
20477, isAffiliatedTo, 83571
20477, isAffiliatedTo, 98337
20477, playsFor, 83571
20477, playsFor, 98337
29004, isAffiliatedTo, 100020
29004, isAffiliatedTo, 43435
29004, isAffiliatedTo, 97356
29004, isAffiliatedTo, 83571
29004, isAffiliatedTo, 32035
29004, isAffiliatedTo, 92452
29004, playsFor, 83571
29004, wasBornIn, 48307
88114, isAffiliatedTo, 83571
88114, isAffiliatedTo, 98337
88114, playsFor, 83571
88114, playsFor, 98337
26767, isAffiliatedTo, 83571
26767, isAffiliatedTo, 98337
26767, playsFor, 83571
26767, playsFor, 98337
56045, isAffiliatedTo, 97356
56045, isAffiliatedTo, 32035
56045, playsFor, 97356
56045, playsFor, 32035
49395, isAffiliatedTo, 97356
49395, playsFor, 97356
49395, wasBornIn, 48307
36254, isAffiliatedTo, 98337
36254, playsFor, 83571
99622, isAffiliatedTo, 83571
99622, isAffiliatedTo, 98337
99622, playsFor, 83571
99622, playsFor, 98337
109946, isAffiliatedTo, 100020
109946, isAffiliatedTo, 101076
109946, isAffiliatedTo, 107669
109946, isAffiliatedTo, 43435
109946, isAffiliatedTo, 97356
109946, isAffiliatedTo, 47831
109946, isAffiliatedTo, 102562
109946, playsFor, 101076
109946, playsFor, 107669
109946, playsFor, 43435
109946, playsFor, 97356
109946, playsFor, 47831
109946, playsFor, 102562
766, isAffiliatedTo, 83571
766, isAffiliatedTo, 98337
766, playsFor, 83571
20646, isAffiliatedTo, 97356
20646, isAffiliatedTo, 102562
20646, playsFor, 43435
20646, playsFor, 97356
20646, playsFor, 107852
20646, playsFor, 102562
30693, isAffiliatedTo, 43435
30693, isAffiliatedTo, 97356
30693, isAffiliatedTo, 112842
30693, isAffiliatedTo, 9311
30693, playsFor, 43435
30693, playsFor, 97356
30693, playsFor, 112842
30693, playsFor, 9311
56225, isAffiliatedTo, 85797
56225, isAffiliatedTo, 97356
56225, isAffiliatedTo, 92452
56225, playsFor, 85797
56225, playsFor, 97356
56225, playsFor, 92452
55225, isAffiliatedTo, 83571
55225, isAffiliatedTo, 98337
55225, playsFor, 83571
55225, playsFor, 98337
89245, isAffiliatedTo, 97356
89245, isAffiliatedTo, 9311
89245, isAffiliatedTo, 107852
89245, isAffiliatedTo, 92452
89245, playsFor, 97356
89245, playsFor, 9311
89245, playsFor, 107852
89245, playsFor, 92452
113884, isAffiliatedTo, 100020
113884, isAffiliatedTo, 101076
113884, isAffiliatedTo, 85797
113884, isAffiliatedTo, 97356
113884, isAffiliatedTo, 112842
113884, isAffiliatedTo, 107852
113884, playsFor, 101076
113884, playsFor, 85797
113884, playsFor, 97356
113884, playsFor, 112842
113884, playsFor, 107852
25731, isAffiliatedTo, 83571
25731, isAffiliatedTo, 98337
25731, playsFor, 83571
25731, playsFor, 98337
104890, isAffiliatedTo, 83571
104890, isAffiliatedTo, 98337
104890, playsFor, 83571
104890, playsFor, 98337
6523, isAffiliatedTo, 83571
6523, isAffiliatedTo, 98337
6523, playsFor, 83571
6523, playsFor, 98337
19215, isAffiliatedTo, 97356
19215, isAffiliatedTo, 92452
19215, playsFor, 97356
19215, playsFor, 92452
48605, playsFor, 116239
48605, playsFor, 83571
48605, playsFor, 98337
26471, isAffiliatedTo, 43435
26471, isAffiliatedTo, 97356
26471, isAffiliatedTo, 107852
26471, isAffiliatedTo, 102562
26471, playsFor, 43435
26471, playsFor, 97356
26471, playsFor, 107852
26471, playsFor, 102562
71648, isAffiliatedTo, 83571
71648, isAffiliatedTo, 98337
71648, playsFor, 83571
71648, playsFor, 98337
90230, isAffiliatedTo, 83571
90230, isAffiliatedTo, 98337
90230, playsFor, 83571
90230, playsFor, 98337
52984, isAffiliatedTo, 83571
52984, isAffiliatedTo, 98337
52984, playsFor, 83571
52984, playsFor, 98337
35689, isAffiliatedTo, 83571
35689, isAffiliatedTo, 98337
35689, playsFor, 83571
35689, playsFor, 98337
112480, playsFor, 116239
112480, playsFor, 83571
43562, isAffiliatedTo, 85797
43562, isAffiliatedTo, 97356
43562, isAffiliatedTo, 92452
Question: How are Club_Tijuana and Moacyr_Filho related?
Your output must be ONLY the PATH block.
| graph_path | {
"style": "rule"
} | {
"entities": [
"Club_Tijuana",
"Moacyr_Filho"
],
"valid_edges": [
[
"Adrián_Zermeño",
"isAffiliatedTo",
"Chiapas_F.C."
],
[
"Adrián_Zermeño",
"isAffiliatedTo",
"Club_Tijuana"
],
[
"Adrián_Zermeño",
"isAffiliatedTo",
"Querétaro_F.C."
],
[
"Adrián_Zermeño",
"isAffiliatedTo",
"Tigres_UANL"
],
[
"Adrián_Zermeño",
"playsFor",
"Chiapas_F.C."
],
[
"Adrián_Zermeño",
"playsFor",
"Club_Tijuana"
],
[
"Adrián_Zermeño",
"playsFor",
"Querétaro_F.C."
],
[
"Adrián_Zermeño",
"playsFor",
"Tigres_UANL"
],
[
"Alejandro_Mancuso",
"isAffiliatedTo",
"Clube_de_Regatas_do_Flamengo"
],
[
"Alejandro_Mancuso",
"isAffiliatedTo",
"Santa_Cruz_Futebol_Clube"
],
[
"Alejandro_Mancuso",
"playsFor",
"Clube_de_Regatas_do_Flamengo"
],
[
"Alejandro_Mancuso",
"playsFor",
"Santa_Cruz_Futebol_Clube"
],
[
"Antonio_Mohamed",
"isAffiliatedTo",
"C.F._Monterrey"
],
[
"Antonio_Mohamed",
"isAffiliatedTo",
"Chiapas_F.C."
],
[
"Antonio_Mohamed",
"isAffiliatedTo",
"Club_Tijuana"
],
[
"Antonio_Mohamed",
"playsFor",
"C.F._Monterrey"
],
[
"Augusto_Recife",
"isAffiliatedTo",
"Clube_de_Regatas_do_Flamengo"
],
[
"Augusto_Recife",
"isAffiliatedTo",
"Santa_Cruz_Futebol_Clube"
],
[
"Augusto_Recife",
"playsFor",
"Clube_de_Regatas_do_Flamengo"
],
[
"Augusto_Recife",
"playsFor",
"Santa_Cruz_Futebol_Clube"
],
[
"Bosco_Frontán",
"isAffiliatedTo",
"C.A._Bella_Vista"
],
[
"Bosco_Frontán",
"isAffiliatedTo",
"Club_Tijuana"
],
[
"Bosco_Frontán",
"isAffiliatedTo",
"Peñarol"
],
[
"Bosco_Frontán",
"isAffiliatedTo",
"Querétaro_F.C."
],
[
"Bosco_Frontán",
"playsFor",
"C.A._Bella_Vista"
],
[
"Bosco_Frontán",
"playsFor",
"Club_Tijuana"
],
[
"Bosco_Frontán",
"playsFor",
"Peñarol"
],
[
"Bosco_Frontán",
"playsFor",
"Querétaro_F.C."
],
[
"Bruno_Carvalho",
"isAffiliatedTo",
"Clube_de_Regatas_do_Flamengo"
],
[
"Bruno_Carvalho",
"isAffiliatedTo",
"Santa_Cruz_Futebol_Clube"
],
[
"Bruno_Carvalho",
"playsFor",
"Clube_de_Regatas_do_Flamengo"
],
[
"Bruno_Carvalho",
"playsFor",
"Santa_Cruz_Futebol_Clube"
],
[
"Carlos_Alberto_Torres",
"isAffiliatedTo",
"Botafogo_F.R."
],
[
"Carlos_Alberto_Torres",
"isAffiliatedTo",
"C.F._Monterrey"
],
[
"Carlos_Alberto_Torres",
"isAffiliatedTo",
"Club_Tijuana"
],
[
"Carlos_Alberto_Torres",
"isAffiliatedTo",
"Clube_de_Regatas_do_Flamengo"
],
[
"Carlos_Alberto_Torres",
"isAffiliatedTo",
"Once_Caldas"
],
[
"Carlos_Alberto_Torres",
"isAffiliatedTo",
"Querétaro_F.C."
],
[
"Carlos_Alberto_Torres",
"playsFor",
"Clube_de_Regatas_do_Flamengo"
],
[
"Carlos_Alberto_Torres",
"wasBornIn",
"Rio_de_Janeiro"
],
[
"Cássio_Oliveira",
"isAffiliatedTo",
"Clube_de_Regatas_do_Flamengo"
],
[
"Cássio_Oliveira",
"isAffiliatedTo",
"Santa_Cruz_Futebol_Clube"
],
[
"Cássio_Oliveira",
"playsFor",
"Clube_de_Regatas_do_Flamengo"
],
[
"Cássio_Oliveira",
"playsFor",
"Santa_Cruz_Futebol_Clube"
],
[
"Dadá_Maravilha",
"isAffiliatedTo",
"Clube_de_Regatas_do_Flamengo"
],
[
"Dadá_Maravilha",
"isAffiliatedTo",
"Santa_Cruz_Futebol_Clube"
],
[
"Dadá_Maravilha",
"playsFor",
"Clube_de_Regatas_do_Flamengo"
],
[
"Dadá_Maravilha",
"playsFor",
"Santa_Cruz_Futebol_Clube"
],
[
"Dayro_Moreno",
"isAffiliatedTo",
"Club_Tijuana"
],
[
"Dayro_Moreno",
"isAffiliatedTo",
"Once_Caldas"
],
[
"Dayro_Moreno",
"playsFor",
"Club_Tijuana"
],
[
"Dayro_Moreno",
"playsFor",
"Once_Caldas"
],
[
"Denni_Rocha_dos_Santos",
"isAffiliatedTo",
"Club_Tijuana"
],
[
"Denni_Rocha_dos_Santos",
"playsFor",
"Club_Tijuana"
],
[
"Denni_Rocha_dos_Santos",
"wasBornIn",
"Rio_de_Janeiro"
],
[
"Dill_(footballer)",
"isAffiliatedTo",
"Santa_Cruz_Futebol_Clube"
],
[
"Dill_(footballer)",
"playsFor",
"Clube_de_Regatas_do_Flamengo"
],
[
"Dênis_Marques",
"isAffiliatedTo",
"Clube_de_Regatas_do_Flamengo"
],
[
"Dênis_Marques",
"isAffiliatedTo",
"Santa_Cruz_Futebol_Clube"
],
[
"Dênis_Marques",
"playsFor",
"Clube_de_Regatas_do_Flamengo"
],
[
"Dênis_Marques",
"playsFor",
"Santa_Cruz_Futebol_Clube"
],
[
"Egidio_Arévalo",
"isAffiliatedTo",
"Botafogo_F.R."
],
[
"Egidio_Arévalo",
"isAffiliatedTo",
"Botafogo_de_Futebol_e_Regatas"
],
[
"Egidio_Arévalo",
"isAffiliatedTo",
"C.A._Bella_Vista"
],
[
"Egidio_Arévalo",
"isAffiliatedTo",
"C.F._Monterrey"
],
[
"Egidio_Arévalo",
"isAffiliatedTo",
"Club_Tijuana"
],
[
"Egidio_Arévalo",
"isAffiliatedTo",
"Peñarol"
],
[
"Egidio_Arévalo",
"isAffiliatedTo",
"Tigres_UANL"
],
[
"Egidio_Arévalo",
"playsFor",
"Botafogo_de_Futebol_e_Regatas"
],
[
"Egidio_Arévalo",
"playsFor",
"C.A._Bella_Vista"
],
[
"Egidio_Arévalo",
"playsFor",
"C.F._Monterrey"
],
[
"Egidio_Arévalo",
"playsFor",
"Club_Tijuana"
],
[
"Egidio_Arévalo",
"playsFor",
"Peñarol"
],
[
"Egidio_Arévalo",
"playsFor",
"Tigres_UANL"
],
[
"Evaristo_de_Macedo",
"isAffiliatedTo",
"Clube_de_Regatas_do_Flamengo"
],
[
"Evaristo_de_Macedo",
"isAffiliatedTo",
"Santa_Cruz_Futebol_Clube"
],
[
"Evaristo_de_Macedo",
"playsFor",
"Clube_de_Regatas_do_Flamengo"
],
[
"Flavio_Rogerio",
"isAffiliatedTo",
"Club_Tijuana"
],
[
"Flavio_Rogerio",
"isAffiliatedTo",
"Tigres_UANL"
],
[
"Flavio_Rogerio",
"playsFor",
"C.F._Monterrey"
],
[
"Flavio_Rogerio",
"playsFor",
"Club_Tijuana"
],
[
"Flavio_Rogerio",
"playsFor",
"Puebla_F.C."
],
[
"Flavio_Rogerio",
"playsFor",
"Tigres_UANL"
],
[
"Gerardo_Galindo",
"isAffiliatedTo",
"C.F._Monterrey"
],
[
"Gerardo_Galindo",
"isAffiliatedTo",
"Club_Tijuana"
],
[
"Gerardo_Galindo",
"isAffiliatedTo",
"Club_Universidad_Nacional"
],
[
"Gerardo_Galindo",
"isAffiliatedTo",
"Estudiantes_Tecos"
],
[
"Gerardo_Galindo",
"playsFor",
"C.F._Monterrey"
],
[
"Gerardo_Galindo",
"playsFor",
"Club_Tijuana"
],
[
"Gerardo_Galindo",
"playsFor",
"Club_Universidad_Nacional"
],
[
"Gerardo_Galindo",
"playsFor",
"Estudiantes_Tecos"
],
[
"Ignacio_Carrasco",
"isAffiliatedTo",
"Club_León"
],
[
"Ignacio_Carrasco",
"isAffiliatedTo",
"Club_Tijuana"
],
[
"Ignacio_Carrasco",
"isAffiliatedTo",
"Querétaro_F.C."
],
[
"Ignacio_Carrasco",
"playsFor",
"Club_León"
],
[
"Ignacio_Carrasco",
"playsFor",
"Club_Tijuana"
],
[
"Ignacio_Carrasco",
"playsFor",
"Querétaro_F.C."
],
[
"Iranildo_Hermínio_Ferreira",
"isAffiliatedTo",
"Clube_de_Regatas_do_Flamengo"
],
[
"Iranildo_Hermínio_Ferreira",
"isAffiliatedTo",
"Santa_Cruz_Futebol_Clube"
],
[
"Iranildo_Hermínio_Ferreira",
"playsFor",
"Clube_de_Regatas_do_Flamengo"
],
[
"Iranildo_Hermínio_Ferreira",
"playsFor",
"Santa_Cruz_Futebol_Clube"
],
[
"José_Guadalupe_Martínez",
"isAffiliatedTo",
"Club_Tijuana"
],
[
"José_Guadalupe_Martínez",
"isAffiliatedTo",
"Estudiantes_Tecos"
],
[
"José_Guadalupe_Martínez",
"isAffiliatedTo",
"Puebla_F.C."
],
[
"José_Guadalupe_Martínez",
"isAffiliatedTo",
"Querétaro_F.C."
],
[
"José_Guadalupe_Martínez",
"playsFor",
"Club_Tijuana"
],
[
"José_Guadalupe_Martínez",
"playsFor",
"Estudiantes_Tecos"
],
[
"José_Guadalupe_Martínez",
"playsFor",
"Puebla_F.C."
],
[
"José_Guadalupe_Martínez",
"playsFor",
"Querétaro_F.C."
],
[
"Leandro_Augusto",
"isAffiliatedTo",
"Botafogo_F.R."
],
[
"Leandro_Augusto",
"isAffiliatedTo",
"Botafogo_de_Futebol_e_Regatas"
],
[
"Leandro_Augusto",
"isAffiliatedTo",
"Club_León"
],
[
"Leandro_Augusto",
"isAffiliatedTo",
"Club_Tijuana"
],
[
"Leandro_Augusto",
"isAffiliatedTo",
"Club_Universidad_Nacional"
],
[
"Leandro_Augusto",
"isAffiliatedTo",
"Puebla_F.C."
],
[
"Leandro_Augusto",
"playsFor",
"Botafogo_de_Futebol_e_Regatas"
],
[
"Leandro_Augusto",
"playsFor",
"Club_León"
],
[
"Leandro_Augusto",
"playsFor",
"Club_Tijuana"
],
[
"Leandro_Augusto",
"playsFor",
"Club_Universidad_Nacional"
],
[
"Leandro_Augusto",
"playsFor",
"Puebla_F.C."
],
[
"Luiz_Antônio_de_Oliveira",
"isAffiliatedTo",
"Clube_de_Regatas_do_Flamengo"
],
[
"Luiz_Antônio_de_Oliveira",
"isAffiliatedTo",
"Santa_Cruz_Futebol_Clube"
],
[
"Luiz_Antônio_de_Oliveira",
"playsFor",
"Clube_de_Regatas_do_Flamengo"
],
[
"Luiz_Antônio_de_Oliveira",
"playsFor",
"Santa_Cruz_Futebol_Clube"
],
[
"Marcelo_Gonçalves_Costa_Lopes",
"isAffiliatedTo",
"Clube_de_Regatas_do_Flamengo"
],
[
"Marcelo_Gonçalves_Costa_Lopes",
"isAffiliatedTo",
"Santa_Cruz_Futebol_Clube"
],
[
"Marcelo_Gonçalves_Costa_Lopes",
"playsFor",
"Clube_de_Regatas_do_Flamengo"
],
[
"Marcelo_Gonçalves_Costa_Lopes",
"playsFor",
"Santa_Cruz_Futebol_Clube"
],
[
"Marcos_Vicente_dos_Santos",
"isAffiliatedTo",
"Clube_de_Regatas_do_Flamengo"
],
[
"Marcos_Vicente_dos_Santos",
"isAffiliatedTo",
"Santa_Cruz_Futebol_Clube"
],
[
"Marcos_Vicente_dos_Santos",
"playsFor",
"Clube_de_Regatas_do_Flamengo"
],
[
"Marcos_Vicente_dos_Santos",
"playsFor",
"Santa_Cruz_Futebol_Clube"
],
[
"Miguel_Ángel_Fraga",
"isAffiliatedTo",
"Club_Tijuana"
],
[
"Miguel_Ángel_Fraga",
"isAffiliatedTo",
"Querétaro_F.C."
],
[
"Miguel_Ángel_Fraga",
"playsFor",
"Club_Tijuana"
],
[
"Miguel_Ángel_Fraga",
"playsFor",
"Querétaro_F.C."
],
[
"Moacyr_Filho",
"playsFor",
"C.D._Suchitepéquez"
],
[
"Moacyr_Filho",
"playsFor",
"Clube_de_Regatas_do_Flamengo"
],
[
"Moacyr_Filho",
"playsFor",
"Santa_Cruz_Futebol_Clube"
],
[
"Oscar_Dautt",
"isAffiliatedTo",
"C.F._Monterrey"
],
[
"Oscar_Dautt",
"isAffiliatedTo",
"Club_Tijuana"
],
[
"Oscar_Dautt",
"isAffiliatedTo",
"Puebla_F.C."
],
[
"Oscar_Dautt",
"isAffiliatedTo",
"Tigres_UANL"
],
[
"Oscar_Dautt",
"playsFor",
"C.F._Monterrey"
],
[
"Oscar_Dautt",
"playsFor",
"Club_Tijuana"
],
[
"Oscar_Dautt",
"playsFor",
"Puebla_F.C."
],
[
"Oscar_Dautt",
"playsFor",
"Tigres_UANL"
],
[
"Paulo_Marcel_Pereira_Merabet",
"isAffiliatedTo",
"Clube_de_Regatas_do_Flamengo"
],
[
"Paulo_Marcel_Pereira_Merabet",
"isAffiliatedTo",
"Santa_Cruz_Futebol_Clube"
],
[
"Paulo_Marcel_Pereira_Merabet",
"playsFor",
"Clube_de_Regatas_do_Flamengo"
],
[
"Paulo_Marcel_Pereira_Merabet",
"playsFor",
"Santa_Cruz_Futebol_Clube"
],
[
"Reginaldo_Araújo",
"isAffiliatedTo",
"Clube_de_Regatas_do_Flamengo"
],
[
"Reginaldo_Araújo",
"isAffiliatedTo",
"Santa_Cruz_Futebol_Clube"
],
[
"Reginaldo_Araújo",
"playsFor",
"Clube_de_Regatas_do_Flamengo"
],
[
"Reginaldo_Araújo",
"playsFor",
"Santa_Cruz_Futebol_Clube"
],
[
"Ricardo_Roberto_Barreto_da_Rocha",
"isAffiliatedTo",
"Clube_de_Regatas_do_Flamengo"
],
[
"Ricardo_Roberto_Barreto_da_Rocha",
"isAffiliatedTo",
"Santa_Cruz_Futebol_Clube"
],
[
"Ricardo_Roberto_Barreto_da_Rocha",
"playsFor",
"Clube_de_Regatas_do_Flamengo"
],
[
"Ricardo_Roberto_Barreto_da_Rocha",
"playsFor",
"Santa_Cruz_Futebol_Clube"
],
[
"Rodrigo_Gral",
"isAffiliatedTo",
"Clube_de_Regatas_do_Flamengo"
],
[
"Rodrigo_Gral",
"isAffiliatedTo",
"Santa_Cruz_Futebol_Clube"
],
[
"Rodrigo_Gral",
"playsFor",
"Clube_de_Regatas_do_Flamengo"
],
[
"Rodrigo_Gral",
"playsFor",
"Santa_Cruz_Futebol_Clube"
],
[
"Sergio_Matto",
"playsFor",
"C.D._Suchitepéquez"
],
[
"Sergio_Matto",
"playsFor",
"Clube_de_Regatas_do_Flamengo"
],
[
"de/Everaldo_Begines",
"isAffiliatedTo",
"Club_León"
],
[
"de/Everaldo_Begines",
"isAffiliatedTo",
"Club_Tijuana"
],
[
"de/Everaldo_Begines",
"isAffiliatedTo",
"Querétaro_F.C."
]
],
"ground_truth": [],
"gt_cost": null
} |
YAGO |
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
119606, ADO_Den_Haag
2657, František_Kubík
20325, S.K._Tavriya_Simferopol
53142, Serhiy_Sibiryakov
82388, Stryi
src, edge_attr, dst
2657, isAffiliatedTo, 119606
2657, isAffiliatedTo, 20325
2657, playsFor, 119606
53142, isAffiliatedTo, 20325
53142, wasBornIn, 82388
Question: In what context are ADO_Den_Haag and Stryi connected?
Your output must be ONLY the PATH block.
| graph_path | {
"style": "rule"
} | {
"entities": [
"ADO_Den_Haag",
"Stryi"
],
"valid_edges": [
[
"František_Kubík",
"isAffiliatedTo",
"ADO_Den_Haag"
],
[
"František_Kubík",
"isAffiliatedTo",
"S.K._Tavriya_Simferopol"
],
[
"František_Kubík",
"playsFor",
"ADO_Den_Haag"
],
[
"Serhiy_Sibiryakov",
"isAffiliatedTo",
"S.K._Tavriya_Simferopol"
],
[
"Serhiy_Sibiryakov",
"wasBornIn",
"Stryi"
]
],
"ground_truth": [],
"gt_cost": null
} |
YAGO |
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
106272, Armenia
40069, Austria
29869, Bernese_Highlands
111744, Europe
44082, Gmina_Nowogród
7452, Holy_Roman_Empire
12542, Kosovo
50431, Nowogród
34780, Podlaskie_Voivodeship
59225, Poland
31871, Republic_of_Ireland
69478, Switzerland
src, edge_attr, dst
106272, dealsWith, 69478
106272, isLocatedIn, 111744
40069, dealsWith, 69478
40069, isLocatedIn, 111744
29869, isLocatedIn, 111744
29869, isLocatedIn, 69478
44082, isLocatedIn, 34780
7452, isLocatedIn, 111744
12542, dealsWith, 69478
12542, isLocatedIn, 111744
50431, isLocatedIn, 44082
50431, isLocatedIn, 34780
50431, isLocatedIn, 59225
59225, isLocatedIn, 111744
31871, dealsWith, 69478
31871, isLocatedIn, 111744
69478, dealsWith, 40069
69478, dealsWith, 7452
69478, isLocatedIn, 111744
Question: In what context are Bernese_Highlands and Gmina_Nowogród connected?
Your output must be ONLY the PATH block.
| graph_path | {
"style": "rule"
} | {
"entities": [
"Bernese_Highlands",
"Gmina_Nowogród"
],
"valid_edges": [
[
"Armenia",
"dealsWith",
"Switzerland"
],
[
"Armenia",
"isLocatedIn",
"Europe"
],
[
"Austria",
"dealsWith",
"Switzerland"
],
[
"Austria",
"isLocatedIn",
"Europe"
],
[
"Bernese_Highlands",
"isLocatedIn",
"Europe"
],
[
"Bernese_Highlands",
"isLocatedIn",
"Switzerland"
],
[
"Gmina_Nowogród",
"isLocatedIn",
"Podlaskie_Voivodeship"
],
[
"Holy_Roman_Empire",
"isLocatedIn",
"Europe"
],
[
"Kosovo",
"dealsWith",
"Switzerland"
],
[
"Kosovo",
"isLocatedIn",
"Europe"
],
[
"Nowogród",
"isLocatedIn",
"Gmina_Nowogród"
],
[
"Nowogród",
"isLocatedIn",
"Podlaskie_Voivodeship"
],
[
"Nowogród",
"isLocatedIn",
"Poland"
],
[
"Poland",
"isLocatedIn",
"Europe"
],
[
"Republic_of_Ireland",
"dealsWith",
"Switzerland"
],
[
"Republic_of_Ireland",
"isLocatedIn",
"Europe"
],
[
"Switzerland",
"dealsWith",
"Austria"
],
[
"Switzerland",
"dealsWith",
"Holy_Roman_Empire"
],
[
"Switzerland",
"isLocatedIn",
"Europe"
]
],
"ground_truth": [],
"gt_cost": null
} |
YAGO |
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
117955, Akishima,_Tokyo
24881, Atsugi,_Kanagawa
122938, Chigasaki,_Kanagawa
99244, Chōfu,_Tokyo
15464, Fuchū,_Tokyo
34582, Fujisawa,_Kanagawa
71856, Fussa,_Tokyo
80385, Hadano,_Kanagawa
17596, Hakone,_Kanagawa
59047, Hino,_Tokyo
88395, Hiratsuka,_Kanagawa
100716, Isehara,_Kanagawa
57474, Ishirō_Honda
88552, Kamakura,_Kanagawa
89737, Kanagawa_Prefecture
75083, Kantō_region
60706, Kawasaki,_Kanagawa
36049, Meiji_University
13914, Nippon_Sport_Science_University
93532, Nishi-ku,_Yokohama
99690, Nishitōkyō,_Tokyo
95766, Odawara,_Kanagawa
37787, Sagamihara
77313, Shibuya,_Tokyo
83209, Shinjuku,_Tokyo
71663, Taitō,_Tokyo
78908, Tama,_Tokyo
47334, Tokyo
73414, Tokyo_Broadcasting_System
35450, Yamato,_Kanagawa
64776, Yokohama
38190, Yokosuka,_Kanagawa
3233, Zama,_Kanagawa
11493, Zushi,_Kanagawa
src, edge_attr, dst
117955, isLocatedIn, 75083
117955, isLocatedIn, 47334
24881, isLocatedIn, 89737
24881, isLocatedIn, 75083
122938, isLocatedIn, 89737
122938, isLocatedIn, 75083
99244, isLocatedIn, 75083
99244, isLocatedIn, 47334
15464, isLocatedIn, 75083
15464, isLocatedIn, 47334
34582, isLocatedIn, 89737
34582, isLocatedIn, 75083
71856, isLocatedIn, 75083
71856, isLocatedIn, 47334
80385, isLocatedIn, 89737
80385, isLocatedIn, 75083
17596, isLocatedIn, 89737
17596, isLocatedIn, 75083
59047, isLocatedIn, 75083
59047, isLocatedIn, 47334
88395, isLocatedIn, 89737
88395, isLocatedIn, 75083
100716, isLocatedIn, 89737
100716, isLocatedIn, 75083
57474, diedIn, 47334
88552, isLocatedIn, 89737
88552, isLocatedIn, 75083
89737, hasCapital, 64776
89737, isLocatedIn, 75083
60706, isLocatedIn, 89737
60706, isLocatedIn, 75083
36049, isLocatedIn, 89737
36049, isLocatedIn, 47334
13914, isLocatedIn, 89737
13914, isLocatedIn, 47334
93532, isLocatedIn, 89737
93532, isLocatedIn, 75083
99690, isLocatedIn, 75083
99690, isLocatedIn, 47334
95766, isLocatedIn, 89737
95766, isLocatedIn, 75083
37787, isLocatedIn, 89737
37787, isLocatedIn, 75083
77313, isLocatedIn, 75083
77313, isLocatedIn, 47334
83209, isLocatedIn, 75083
83209, isLocatedIn, 47334
71663, isLocatedIn, 75083
71663, isLocatedIn, 47334
78908, isLocatedIn, 75083
78908, isLocatedIn, 47334
47334, isLocatedIn, 75083
73414, isLocatedIn, 75083
73414, isLocatedIn, 47334
35450, isLocatedIn, 89737
35450, isLocatedIn, 75083
64776, isLocatedIn, 89737
64776, isLocatedIn, 75083
38190, isLocatedIn, 89737
38190, isLocatedIn, 75083
3233, isLocatedIn, 89737
3233, isLocatedIn, 75083
11493, isLocatedIn, 89737
11493, isLocatedIn, 75083
Question: For what reason are Fujisawa,_Kanagawa and Ishirō_Honda associated?
Your output must be ONLY the PATH block.
| graph_path | {
"style": "rule"
} | {
"entities": [
"Fujisawa,_Kanagawa",
"Ishirō_Honda"
],
"valid_edges": [
[
"Akishima,_Tokyo",
"isLocatedIn",
"Kantō_region"
],
[
"Akishima,_Tokyo",
"isLocatedIn",
"Tokyo"
],
[
"Atsugi,_Kanagawa",
"isLocatedIn",
"Kanagawa_Prefecture"
],
[
"Atsugi,_Kanagawa",
"isLocatedIn",
"Kantō_region"
],
[
"Chigasaki,_Kanagawa",
"isLocatedIn",
"Kanagawa_Prefecture"
],
[
"Chigasaki,_Kanagawa",
"isLocatedIn",
"Kantō_region"
],
[
"Chōfu,_Tokyo",
"isLocatedIn",
"Kantō_region"
],
[
"Chōfu,_Tokyo",
"isLocatedIn",
"Tokyo"
],
[
"Fuchū,_Tokyo",
"isLocatedIn",
"Kantō_region"
],
[
"Fuchū,_Tokyo",
"isLocatedIn",
"Tokyo"
],
[
"Fujisawa,_Kanagawa",
"isLocatedIn",
"Kanagawa_Prefecture"
],
[
"Fujisawa,_Kanagawa",
"isLocatedIn",
"Kantō_region"
],
[
"Fussa,_Tokyo",
"isLocatedIn",
"Kantō_region"
],
[
"Fussa,_Tokyo",
"isLocatedIn",
"Tokyo"
],
[
"Hadano,_Kanagawa",
"isLocatedIn",
"Kanagawa_Prefecture"
],
[
"Hadano,_Kanagawa",
"isLocatedIn",
"Kantō_region"
],
[
"Hakone,_Kanagawa",
"isLocatedIn",
"Kanagawa_Prefecture"
],
[
"Hakone,_Kanagawa",
"isLocatedIn",
"Kantō_region"
],
[
"Hino,_Tokyo",
"isLocatedIn",
"Kantō_region"
],
[
"Hino,_Tokyo",
"isLocatedIn",
"Tokyo"
],
[
"Hiratsuka,_Kanagawa",
"isLocatedIn",
"Kanagawa_Prefecture"
],
[
"Hiratsuka,_Kanagawa",
"isLocatedIn",
"Kantō_region"
],
[
"Isehara,_Kanagawa",
"isLocatedIn",
"Kanagawa_Prefecture"
],
[
"Isehara,_Kanagawa",
"isLocatedIn",
"Kantō_region"
],
[
"Ishirō_Honda",
"diedIn",
"Tokyo"
],
[
"Kamakura,_Kanagawa",
"isLocatedIn",
"Kanagawa_Prefecture"
],
[
"Kamakura,_Kanagawa",
"isLocatedIn",
"Kantō_region"
],
[
"Kanagawa_Prefecture",
"hasCapital",
"Yokohama"
],
[
"Kanagawa_Prefecture",
"isLocatedIn",
"Kantō_region"
],
[
"Kawasaki,_Kanagawa",
"isLocatedIn",
"Kanagawa_Prefecture"
],
[
"Kawasaki,_Kanagawa",
"isLocatedIn",
"Kantō_region"
],
[
"Meiji_University",
"isLocatedIn",
"Kanagawa_Prefecture"
],
[
"Meiji_University",
"isLocatedIn",
"Tokyo"
],
[
"Nippon_Sport_Science_University",
"isLocatedIn",
"Kanagawa_Prefecture"
],
[
"Nippon_Sport_Science_University",
"isLocatedIn",
"Tokyo"
],
[
"Nishi-ku,_Yokohama",
"isLocatedIn",
"Kanagawa_Prefecture"
],
[
"Nishi-ku,_Yokohama",
"isLocatedIn",
"Kantō_region"
],
[
"Nishitōkyō,_Tokyo",
"isLocatedIn",
"Kantō_region"
],
[
"Nishitōkyō,_Tokyo",
"isLocatedIn",
"Tokyo"
],
[
"Odawara,_Kanagawa",
"isLocatedIn",
"Kanagawa_Prefecture"
],
[
"Odawara,_Kanagawa",
"isLocatedIn",
"Kantō_region"
],
[
"Sagamihara",
"isLocatedIn",
"Kanagawa_Prefecture"
],
[
"Sagamihara",
"isLocatedIn",
"Kantō_region"
],
[
"Shibuya,_Tokyo",
"isLocatedIn",
"Kantō_region"
],
[
"Shibuya,_Tokyo",
"isLocatedIn",
"Tokyo"
],
[
"Shinjuku,_Tokyo",
"isLocatedIn",
"Kantō_region"
],
[
"Shinjuku,_Tokyo",
"isLocatedIn",
"Tokyo"
],
[
"Taitō,_Tokyo",
"isLocatedIn",
"Kantō_region"
],
[
"Taitō,_Tokyo",
"isLocatedIn",
"Tokyo"
],
[
"Tama,_Tokyo",
"isLocatedIn",
"Kantō_region"
],
[
"Tama,_Tokyo",
"isLocatedIn",
"Tokyo"
],
[
"Tokyo",
"isLocatedIn",
"Kantō_region"
],
[
"Tokyo_Broadcasting_System",
"isLocatedIn",
"Kantō_region"
],
[
"Tokyo_Broadcasting_System",
"isLocatedIn",
"Tokyo"
],
[
"Yamato,_Kanagawa",
"isLocatedIn",
"Kanagawa_Prefecture"
],
[
"Yamato,_Kanagawa",
"isLocatedIn",
"Kantō_region"
],
[
"Yokohama",
"isLocatedIn",
"Kanagawa_Prefecture"
],
[
"Yokohama",
"isLocatedIn",
"Kantō_region"
],
[
"Yokosuka,_Kanagawa",
"isLocatedIn",
"Kanagawa_Prefecture"
],
[
"Yokosuka,_Kanagawa",
"isLocatedIn",
"Kantō_region"
],
[
"Zama,_Kanagawa",
"isLocatedIn",
"Kanagawa_Prefecture"
],
[
"Zama,_Kanagawa",
"isLocatedIn",
"Kantō_region"
],
[
"Zushi,_Kanagawa",
"isLocatedIn",
"Kanagawa_Prefecture"
],
[
"Zushi,_Kanagawa",
"isLocatedIn",
"Kantō_region"
]
],
"ground_truth": [],
"gt_cost": null
} |
YAGO |
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
105072, CR_Vasco_da_Gama
62493, Ian_Lawther
122672, Jonas_Jessue_da_Silva_Júnior
100693, Scunthorpe_United_F.C.
103820, Sissi_(footballer)
src, edge_attr, dst
62493, isAffiliatedTo, 100693
62493, playsFor, 100693
122672, isAffiliatedTo, 105072
122672, playsFor, 105072
103820, isAffiliatedTo, 105072
103820, playsFor, 105072
103820, playsFor, 100693
Question: For what reason are Ian_Lawther and Jonas_Jessue_da_Silva_Júnior associated?
Your output must be ONLY the PATH block.
| graph_path | {
"style": "rule"
} | {
"entities": [
"Ian_Lawther",
"Jonas_Jessue_da_Silva_Júnior"
],
"valid_edges": [
[
"Ian_Lawther",
"isAffiliatedTo",
"Scunthorpe_United_F.C."
],
[
"Ian_Lawther",
"playsFor",
"Scunthorpe_United_F.C."
],
[
"Jonas_Jessue_da_Silva_Júnior",
"isAffiliatedTo",
"CR_Vasco_da_Gama"
],
[
"Jonas_Jessue_da_Silva_Júnior",
"playsFor",
"CR_Vasco_da_Gama"
],
[
"Sissi_(footballer)",
"isAffiliatedTo",
"CR_Vasco_da_Gama"
],
[
"Sissi_(footballer)",
"playsFor",
"CR_Vasco_da_Gama"
],
[
"Sissi_(footballer)",
"playsFor",
"Scunthorpe_United_F.C."
]
],
"ground_truth": [],
"gt_cost": null
} |
YAGO |
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
2303, Aleksandr_Maksimenkov
58199, Andrei_Yakubik
45305, Andrei_Yevgenyevich_Ivanov
47894, Boris_Rotenberg
110504, Dmitri_Kharine
13556, F.C._Dynamo_Moscow
47633, FC_SKVO_Rostov-on-Don
118478, FC_Zenit_Saint_Petersburg
36202, Gennady_Morozov
82956, Georgi_Yartsev
75725, Hapoel_Kfar_Saba_F.C.
78224, Igor_Chislenko
122340, Igor_Denisov
62170, Igor_Kolyvanov
75137, Igor_Semshov
58568, Igor_Simutenkov
103901, Konstantin_Beskov
106446, Konstantin_Krizhevsky
114768, Moscow
43188, Oleg_Dolmatov
117015, Order_of_Lenin
101923, PFC_CSKA_Moscow
11068, Patrick_Doeplah
16656, Saint_Petersburg
60771, Sergei_Salnikov
45364, Soviet_Union_national_football_team
58262, Valeri_Broshin
94116, Valery_Gazzaev
113240, Vasili_Kulkov
109839, Viktor_Anichkin
37204, Vladimir_Kesarev
46918, Vladimir_Ryzhkin
114289, Vladislav_Radimov
82430, Vyacheslav_Solovyov
36399, Yuri_Pshenichnikov
src, edge_attr, dst
2303, diedIn, 114768
2303, isAffiliatedTo, 13556
2303, isAffiliatedTo, 45364
2303, playsFor, 45364
58199, isAffiliatedTo, 13556
58199, isAffiliatedTo, 45364
58199, playsFor, 45364
58199, wasBornIn, 114768
45305, isAffiliatedTo, 13556
45305, isAffiliatedTo, 101923
45305, isAffiliatedTo, 45364
45305, playsFor, 101923
45305, playsFor, 45364
45305, wasBornIn, 114768
47894, isAffiliatedTo, 13556
47894, isAffiliatedTo, 118478
47894, playsFor, 118478
47894, wasBornIn, 16656
110504, isAffiliatedTo, 13556
110504, isAffiliatedTo, 101923
110504, isAffiliatedTo, 45364
110504, playsFor, 101923
110504, playsFor, 45364
110504, wasBornIn, 114768
13556, isLocatedIn, 114768
36202, isAffiliatedTo, 13556
36202, isAffiliatedTo, 45364
36202, playsFor, 45364
36202, wasBornIn, 114768
82956, isAffiliatedTo, 13556
82956, isAffiliatedTo, 101923
82956, isAffiliatedTo, 45364
82956, playsFor, 101923
82956, playsFor, 45364
78224, diedIn, 114768
78224, isAffiliatedTo, 13556
78224, isAffiliatedTo, 45364
78224, wasBornIn, 114768
122340, isAffiliatedTo, 13556
122340, isAffiliatedTo, 118478
122340, playsFor, 118478
122340, wasBornIn, 16656
62170, isAffiliatedTo, 13556
62170, isAffiliatedTo, 45364
62170, playsFor, 45364
62170, wasBornIn, 114768
75137, isAffiliatedTo, 13556
75137, isAffiliatedTo, 118478
75137, isAffiliatedTo, 101923
75137, playsFor, 118478
75137, playsFor, 101923
75137, wasBornIn, 114768
58568, isAffiliatedTo, 13556
58568, isAffiliatedTo, 118478
58568, wasBornIn, 114768
103901, diedIn, 114768
103901, hasWonPrize, 117015
103901, isAffiliatedTo, 13556
103901, isAffiliatedTo, 45364
103901, wasBornIn, 114768
106446, diedIn, 114768
106446, isAffiliatedTo, 13556
106446, isAffiliatedTo, 45364
106446, playsFor, 45364
114768, hasWonPrize, 117015
43188, isAffiliatedTo, 13556
43188, isAffiliatedTo, 101923
43188, isAffiliatedTo, 45364
43188, playsFor, 45364
101923, isLocatedIn, 114768
11068, isAffiliatedTo, 75725
11068, playsFor, 75725
60771, diedIn, 114768
60771, isAffiliatedTo, 13556
60771, isAffiliatedTo, 118478
60771, isAffiliatedTo, 45364
60771, playsFor, 118478
60771, playsFor, 45364
58262, diedIn, 114768
58262, isAffiliatedTo, 75725
58262, playsFor, 75725
94116, isAffiliatedTo, 13556
94116, isAffiliatedTo, 47633
94116, isAffiliatedTo, 101923
94116, isAffiliatedTo, 45364
94116, playsFor, 47633
113240, isAffiliatedTo, 13556
113240, isAffiliatedTo, 118478
113240, isAffiliatedTo, 45364
113240, playsFor, 118478
113240, wasBornIn, 114768
109839, diedIn, 114768
109839, isAffiliatedTo, 13556
109839, isAffiliatedTo, 45364
109839, playsFor, 45364
37204, isAffiliatedTo, 13556
37204, isAffiliatedTo, 45364
37204, playsFor, 45364
37204, wasBornIn, 114768
46918, isAffiliatedTo, 13556
46918, isAffiliatedTo, 101923
46918, isAffiliatedTo, 45364
46918, playsFor, 101923
46918, playsFor, 45364
46918, wasBornIn, 114768
114289, isAffiliatedTo, 13556
114289, isAffiliatedTo, 118478
114289, isAffiliatedTo, 101923
114289, playsFor, 118478
114289, playsFor, 101923
114289, wasBornIn, 16656
82430, diedIn, 114768
82430, isAffiliatedTo, 13556
82430, isAffiliatedTo, 101923
82430, playsFor, 101923
36399, isAffiliatedTo, 13556
36399, isAffiliatedTo, 47633
36399, isAffiliatedTo, 101923
36399, isAffiliatedTo, 45364
36399, playsFor, 101923
36399, playsFor, 45364
Question: In what context are F.C._Dynamo_Moscow and Patrick_Doeplah connected?
Your output must be ONLY the PATH block.
| graph_path | {
"style": "rule"
} | {
"entities": [
"F.C._Dynamo_Moscow",
"Patrick_Doeplah"
],
"valid_edges": [
[
"Aleksandr_Maksimenkov",
"diedIn",
"Moscow"
],
[
"Aleksandr_Maksimenkov",
"isAffiliatedTo",
"F.C._Dynamo_Moscow"
],
[
"Aleksandr_Maksimenkov",
"isAffiliatedTo",
"Soviet_Union_national_football_team"
],
[
"Aleksandr_Maksimenkov",
"playsFor",
"Soviet_Union_national_football_team"
],
[
"Andrei_Yakubik",
"isAffiliatedTo",
"F.C._Dynamo_Moscow"
],
[
"Andrei_Yakubik",
"isAffiliatedTo",
"Soviet_Union_national_football_team"
],
[
"Andrei_Yakubik",
"playsFor",
"Soviet_Union_national_football_team"
],
[
"Andrei_Yakubik",
"wasBornIn",
"Moscow"
],
[
"Andrei_Yevgenyevich_Ivanov",
"isAffiliatedTo",
"F.C._Dynamo_Moscow"
],
[
"Andrei_Yevgenyevich_Ivanov",
"isAffiliatedTo",
"PFC_CSKA_Moscow"
],
[
"Andrei_Yevgenyevich_Ivanov",
"isAffiliatedTo",
"Soviet_Union_national_football_team"
],
[
"Andrei_Yevgenyevich_Ivanov",
"playsFor",
"PFC_CSKA_Moscow"
],
[
"Andrei_Yevgenyevich_Ivanov",
"playsFor",
"Soviet_Union_national_football_team"
],
[
"Andrei_Yevgenyevich_Ivanov",
"wasBornIn",
"Moscow"
],
[
"Boris_Rotenberg",
"isAffiliatedTo",
"F.C._Dynamo_Moscow"
],
[
"Boris_Rotenberg",
"isAffiliatedTo",
"FC_Zenit_Saint_Petersburg"
],
[
"Boris_Rotenberg",
"playsFor",
"FC_Zenit_Saint_Petersburg"
],
[
"Boris_Rotenberg",
"wasBornIn",
"Saint_Petersburg"
],
[
"Dmitri_Kharine",
"isAffiliatedTo",
"F.C._Dynamo_Moscow"
],
[
"Dmitri_Kharine",
"isAffiliatedTo",
"PFC_CSKA_Moscow"
],
[
"Dmitri_Kharine",
"isAffiliatedTo",
"Soviet_Union_national_football_team"
],
[
"Dmitri_Kharine",
"playsFor",
"PFC_CSKA_Moscow"
],
[
"Dmitri_Kharine",
"playsFor",
"Soviet_Union_national_football_team"
],
[
"Dmitri_Kharine",
"wasBornIn",
"Moscow"
],
[
"F.C._Dynamo_Moscow",
"isLocatedIn",
"Moscow"
],
[
"Gennady_Morozov",
"isAffiliatedTo",
"F.C._Dynamo_Moscow"
],
[
"Gennady_Morozov",
"isAffiliatedTo",
"Soviet_Union_national_football_team"
],
[
"Gennady_Morozov",
"playsFor",
"Soviet_Union_national_football_team"
],
[
"Gennady_Morozov",
"wasBornIn",
"Moscow"
],
[
"Georgi_Yartsev",
"isAffiliatedTo",
"F.C._Dynamo_Moscow"
],
[
"Georgi_Yartsev",
"isAffiliatedTo",
"PFC_CSKA_Moscow"
],
[
"Georgi_Yartsev",
"isAffiliatedTo",
"Soviet_Union_national_football_team"
],
[
"Georgi_Yartsev",
"playsFor",
"PFC_CSKA_Moscow"
],
[
"Georgi_Yartsev",
"playsFor",
"Soviet_Union_national_football_team"
],
[
"Igor_Chislenko",
"diedIn",
"Moscow"
],
[
"Igor_Chislenko",
"isAffiliatedTo",
"F.C._Dynamo_Moscow"
],
[
"Igor_Chislenko",
"isAffiliatedTo",
"Soviet_Union_national_football_team"
],
[
"Igor_Chislenko",
"wasBornIn",
"Moscow"
],
[
"Igor_Denisov",
"isAffiliatedTo",
"F.C._Dynamo_Moscow"
],
[
"Igor_Denisov",
"isAffiliatedTo",
"FC_Zenit_Saint_Petersburg"
],
[
"Igor_Denisov",
"playsFor",
"FC_Zenit_Saint_Petersburg"
],
[
"Igor_Denisov",
"wasBornIn",
"Saint_Petersburg"
],
[
"Igor_Kolyvanov",
"isAffiliatedTo",
"F.C._Dynamo_Moscow"
],
[
"Igor_Kolyvanov",
"isAffiliatedTo",
"Soviet_Union_national_football_team"
],
[
"Igor_Kolyvanov",
"playsFor",
"Soviet_Union_national_football_team"
],
[
"Igor_Kolyvanov",
"wasBornIn",
"Moscow"
],
[
"Igor_Semshov",
"isAffiliatedTo",
"F.C._Dynamo_Moscow"
],
[
"Igor_Semshov",
"isAffiliatedTo",
"FC_Zenit_Saint_Petersburg"
],
[
"Igor_Semshov",
"isAffiliatedTo",
"PFC_CSKA_Moscow"
],
[
"Igor_Semshov",
"playsFor",
"FC_Zenit_Saint_Petersburg"
],
[
"Igor_Semshov",
"playsFor",
"PFC_CSKA_Moscow"
],
[
"Igor_Semshov",
"wasBornIn",
"Moscow"
],
[
"Igor_Simutenkov",
"isAffiliatedTo",
"F.C._Dynamo_Moscow"
],
[
"Igor_Simutenkov",
"isAffiliatedTo",
"FC_Zenit_Saint_Petersburg"
],
[
"Igor_Simutenkov",
"wasBornIn",
"Moscow"
],
[
"Konstantin_Beskov",
"diedIn",
"Moscow"
],
[
"Konstantin_Beskov",
"hasWonPrize",
"Order_of_Lenin"
],
[
"Konstantin_Beskov",
"isAffiliatedTo",
"F.C._Dynamo_Moscow"
],
[
"Konstantin_Beskov",
"isAffiliatedTo",
"Soviet_Union_national_football_team"
],
[
"Konstantin_Beskov",
"wasBornIn",
"Moscow"
],
[
"Konstantin_Krizhevsky",
"diedIn",
"Moscow"
],
[
"Konstantin_Krizhevsky",
"isAffiliatedTo",
"F.C._Dynamo_Moscow"
],
[
"Konstantin_Krizhevsky",
"isAffiliatedTo",
"Soviet_Union_national_football_team"
],
[
"Konstantin_Krizhevsky",
"playsFor",
"Soviet_Union_national_football_team"
],
[
"Moscow",
"hasWonPrize",
"Order_of_Lenin"
],
[
"Oleg_Dolmatov",
"isAffiliatedTo",
"F.C._Dynamo_Moscow"
],
[
"Oleg_Dolmatov",
"isAffiliatedTo",
"PFC_CSKA_Moscow"
],
[
"Oleg_Dolmatov",
"isAffiliatedTo",
"Soviet_Union_national_football_team"
],
[
"Oleg_Dolmatov",
"playsFor",
"Soviet_Union_national_football_team"
],
[
"PFC_CSKA_Moscow",
"isLocatedIn",
"Moscow"
],
[
"Patrick_Doeplah",
"isAffiliatedTo",
"Hapoel_Kfar_Saba_F.C."
],
[
"Patrick_Doeplah",
"playsFor",
"Hapoel_Kfar_Saba_F.C."
],
[
"Sergei_Salnikov",
"diedIn",
"Moscow"
],
[
"Sergei_Salnikov",
"isAffiliatedTo",
"F.C._Dynamo_Moscow"
],
[
"Sergei_Salnikov",
"isAffiliatedTo",
"FC_Zenit_Saint_Petersburg"
],
[
"Sergei_Salnikov",
"isAffiliatedTo",
"Soviet_Union_national_football_team"
],
[
"Sergei_Salnikov",
"playsFor",
"FC_Zenit_Saint_Petersburg"
],
[
"Sergei_Salnikov",
"playsFor",
"Soviet_Union_national_football_team"
],
[
"Valeri_Broshin",
"diedIn",
"Moscow"
],
[
"Valeri_Broshin",
"isAffiliatedTo",
"Hapoel_Kfar_Saba_F.C."
],
[
"Valeri_Broshin",
"playsFor",
"Hapoel_Kfar_Saba_F.C."
],
[
"Valery_Gazzaev",
"isAffiliatedTo",
"F.C._Dynamo_Moscow"
],
[
"Valery_Gazzaev",
"isAffiliatedTo",
"FC_SKVO_Rostov-on-Don"
],
[
"Valery_Gazzaev",
"isAffiliatedTo",
"PFC_CSKA_Moscow"
],
[
"Valery_Gazzaev",
"isAffiliatedTo",
"Soviet_Union_national_football_team"
],
[
"Valery_Gazzaev",
"playsFor",
"FC_SKVO_Rostov-on-Don"
],
[
"Vasili_Kulkov",
"isAffiliatedTo",
"F.C._Dynamo_Moscow"
],
[
"Vasili_Kulkov",
"isAffiliatedTo",
"FC_Zenit_Saint_Petersburg"
],
[
"Vasili_Kulkov",
"isAffiliatedTo",
"Soviet_Union_national_football_team"
],
[
"Vasili_Kulkov",
"playsFor",
"FC_Zenit_Saint_Petersburg"
],
[
"Vasili_Kulkov",
"wasBornIn",
"Moscow"
],
[
"Viktor_Anichkin",
"diedIn",
"Moscow"
],
[
"Viktor_Anichkin",
"isAffiliatedTo",
"F.C._Dynamo_Moscow"
],
[
"Viktor_Anichkin",
"isAffiliatedTo",
"Soviet_Union_national_football_team"
],
[
"Viktor_Anichkin",
"playsFor",
"Soviet_Union_national_football_team"
],
[
"Vladimir_Kesarev",
"isAffiliatedTo",
"F.C._Dynamo_Moscow"
],
[
"Vladimir_Kesarev",
"isAffiliatedTo",
"Soviet_Union_national_football_team"
],
[
"Vladimir_Kesarev",
"playsFor",
"Soviet_Union_national_football_team"
],
[
"Vladimir_Kesarev",
"wasBornIn",
"Moscow"
],
[
"Vladimir_Ryzhkin",
"isAffiliatedTo",
"F.C._Dynamo_Moscow"
],
[
"Vladimir_Ryzhkin",
"isAffiliatedTo",
"PFC_CSKA_Moscow"
],
[
"Vladimir_Ryzhkin",
"isAffiliatedTo",
"Soviet_Union_national_football_team"
],
[
"Vladimir_Ryzhkin",
"playsFor",
"PFC_CSKA_Moscow"
],
[
"Vladimir_Ryzhkin",
"playsFor",
"Soviet_Union_national_football_team"
],
[
"Vladimir_Ryzhkin",
"wasBornIn",
"Moscow"
],
[
"Vladislav_Radimov",
"isAffiliatedTo",
"F.C._Dynamo_Moscow"
],
[
"Vladislav_Radimov",
"isAffiliatedTo",
"FC_Zenit_Saint_Petersburg"
],
[
"Vladislav_Radimov",
"isAffiliatedTo",
"PFC_CSKA_Moscow"
],
[
"Vladislav_Radimov",
"playsFor",
"FC_Zenit_Saint_Petersburg"
],
[
"Vladislav_Radimov",
"playsFor",
"PFC_CSKA_Moscow"
],
[
"Vladislav_Radimov",
"wasBornIn",
"Saint_Petersburg"
],
[
"Vyacheslav_Solovyov",
"diedIn",
"Moscow"
],
[
"Vyacheslav_Solovyov",
"isAffiliatedTo",
"F.C._Dynamo_Moscow"
],
[
"Vyacheslav_Solovyov",
"isAffiliatedTo",
"PFC_CSKA_Moscow"
],
[
"Vyacheslav_Solovyov",
"playsFor",
"PFC_CSKA_Moscow"
],
[
"Yuri_Pshenichnikov",
"isAffiliatedTo",
"F.C._Dynamo_Moscow"
],
[
"Yuri_Pshenichnikov",
"isAffiliatedTo",
"FC_SKVO_Rostov-on-Don"
],
[
"Yuri_Pshenichnikov",
"isAffiliatedTo",
"PFC_CSKA_Moscow"
],
[
"Yuri_Pshenichnikov",
"isAffiliatedTo",
"Soviet_Union_national_football_team"
],
[
"Yuri_Pshenichnikov",
"playsFor",
"PFC_CSKA_Moscow"
],
[
"Yuri_Pshenichnikov",
"playsFor",
"Soviet_Union_national_football_team"
]
],
"ground_truth": [],
"gt_cost": null
} |
YAGO |
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
81721, Akihiko_Hirata
50835, Andrez_Bergen
44593, Cary-Hiroyuki_Tagawa
19685, DJ_Krush
52929, Daijiro_Takakuwa
2536, Franklin_J._Schaffner
31822, Fumihiko_Maki
111919, Hideaki_Kobayashi_(composer)
37772, Hideki_Yukawa
53082, Hideo_Kobayashi
8545, Hideo_Kojima
53973, Hikaru_Mita
76458, Hirohisa_Fujii
104354, Hiroshi_Aramata
77419, Hiroshi_Inagaki
42840, Hiroyuki_Sanada
9491, Hitoshi_Ashida
98706, Hua_Luogeng
54471, Isao_Tomita
57474, Ishirō_Honda
92972, Jinzō_Toriumi
93025, Jun'ichirō_Tanizaki
103119, Jun_Marques_Davidson
80109, Jun_Tsuji
56293, Junnosuke_Schneider
19672, Juzo_Itami
112682, Katsura_Tarō
87860, Katō_Tomosaburō
65786, Kazumi_Totaka
85946, Kazuo_Yamazaki
79994, Keizō_Obuchi
9096, Ken_Akamatsu
90307, Ken_Ogata
1261, Ken_Sugimori
7837, Kenji_Ito
41850, Kenji_Kawai
55211, Kenji_Mizoguchi
82891, Kenkichi_Iwasawa
91149, Kinji_Fukasaku
23306, Koichi_Sugiyama
21795, Kosuke_Ota
69720, Kuniaki_Koiso
58878, Kunihiko_Kodaira
41398, Kyōka_Izumi
23067, Kōbō_Abe
95454, Kōichi_Mashimo
14465, Kōichi_Satō
103750, Liang_Sicheng
120687, Louis_Calhern
77749, Mamoru_Oshii
62861, Masayuki_Suo
93413, Michael_A._Levine
31802, Mikio_Naruse
91623, Mikio_Sato
39107, Mitsuru_Igarashi
106899, Mitsuteru_Yokoyama
106752, Morihiro_Higashikuni
83621, Nakamura_Shidō_II
97664, Natsume_Sōseki
92591, New_Komeito
26921, Nogi_Maresuke
58841, Osamu_Tezuka
104711, Paris_Nakajima-Farran
68686, Prince_Higashifushimi_Yorihito
57308, Prince_Naruhiko_Higashikuni
86606, Renji_Ishibashi
54773, Rintaro
89381, Ryuichi_Sakamoto
10979, Ryūnosuke_Akutagawa
114587, Saitō_Makoto
106070, Satoshi_Kon
52200, Satoshi_Tajiri
9206, Sebastian_Madera
70428, Sessue_Hayakawa
93714, Shigeo_Yaegashi
3994, Shigeru_Yoshida
64462, Shinya_Tsukamoto
69214, Sho_Kosugi
105104, Shohei_Imamura
122062, Shokichi_Iyanaga
72247, Sin-Itiro_Tomonaga
2002, Takashi_Shimura
46307, Takuro_Nishimura
18348, Takuya_Yamada
63272, Tatsuo_Yoshida
67304, Tatsuya_Nakadai
14987, Teiji_Takagi
105576, Terauchi_Masatake
46667, Tetsurō_Tamba
47334, Tokyo
37933, Tsugumi_Ohba
81908, Tōgō_Heihachirō
115675, Yasujirō_Ozu
38988, Yu_Hoshide
24043, Yōhei_Kajiyama
108025, Yōichi_Masuzoe
108794, Yōsuke_Saito
118104, male
src, edge_attr, dst
81721, diedIn, 47334
81721, hasGender, 118104
50835, hasGender, 118104
50835, livesIn, 47334
44593, hasGender, 118104
44593, wasBornIn, 47334
19685, hasGender, 118104
19685, wasBornIn, 47334
52929, hasGender, 118104
52929, wasBornIn, 47334
2536, hasGender, 118104
2536, wasBornIn, 47334
31822, hasGender, 118104
31822, wasBornIn, 47334
111919, hasGender, 118104
111919, wasBornIn, 47334
37772, hasGender, 118104
37772, wasBornIn, 47334
53082, hasGender, 118104
53082, wasBornIn, 47334
8545, hasGender, 118104
8545, wasBornIn, 47334
53973, hasGender, 118104
53973, wasBornIn, 47334
76458, hasGender, 118104
76458, wasBornIn, 47334
104354, hasGender, 118104
104354, wasBornIn, 47334
77419, diedIn, 47334
77419, hasGender, 118104
77419, wasBornIn, 47334
42840, hasGender, 118104
42840, wasBornIn, 47334
9491, diedIn, 47334
9491, hasGender, 118104
98706, diedIn, 47334
98706, hasGender, 118104
54471, hasGender, 118104
54471, wasBornIn, 47334
57474, diedIn, 47334
57474, hasGender, 118104
92972, diedIn, 47334
92972, hasGender, 118104
93025, hasGender, 118104
93025, wasBornIn, 47334
103119, hasGender, 118104
103119, wasBornIn, 47334
80109, diedIn, 47334
80109, hasGender, 118104
80109, wasBornIn, 47334
56293, hasGender, 118104
56293, wasBornIn, 47334
19672, diedIn, 47334
19672, hasGender, 118104
112682, diedIn, 47334
112682, hasGender, 118104
87860, diedIn, 47334
87860, hasGender, 118104
65786, hasGender, 118104
65786, wasBornIn, 47334
85946, hasGender, 118104
85946, wasBornIn, 47334
79994, diedIn, 47334
79994, hasGender, 118104
79994, isAffiliatedTo, 92591
9096, hasGender, 118104
9096, livesIn, 47334
90307, hasGender, 118104
90307, wasBornIn, 47334
1261, hasGender, 118104
1261, wasBornIn, 47334
7837, hasGender, 118104
7837, wasBornIn, 47334
41850, hasGender, 118104
41850, wasBornIn, 47334
55211, hasGender, 118104
55211, wasBornIn, 47334
82891, diedIn, 47334
82891, hasGender, 118104
91149, diedIn, 47334
91149, hasGender, 118104
23306, hasGender, 118104
23306, wasBornIn, 47334
21795, hasGender, 118104
21795, wasBornIn, 47334
69720, diedIn, 47334
69720, hasGender, 118104
58878, hasGender, 118104
58878, wasBornIn, 47334
41398, diedIn, 47334
41398, hasGender, 118104
23067, diedIn, 47334
23067, hasGender, 118104
95454, hasGender, 118104
95454, wasBornIn, 47334
14465, hasGender, 118104
14465, wasBornIn, 47334
103750, hasGender, 118104
103750, wasBornIn, 47334
120687, diedIn, 47334
120687, hasGender, 118104
77749, hasGender, 118104
77749, wasBornIn, 47334
62861, hasGender, 118104
62861, wasBornIn, 47334
93413, hasGender, 118104
93413, wasBornIn, 47334
31802, hasGender, 118104
31802, wasBornIn, 47334
91623, hasGender, 118104
91623, wasBornIn, 47334
39107, hasGender, 118104
39107, wasBornIn, 47334
106899, diedIn, 47334
106899, hasGender, 118104
106752, diedIn, 47334
106752, hasGender, 118104
106752, wasBornIn, 47334
83621, hasGender, 118104
83621, wasBornIn, 47334
97664, diedIn, 47334
97664, hasGender, 118104
97664, wasBornIn, 47334
92591, isLocatedIn, 47334
26921, diedIn, 47334
26921, hasGender, 118104
58841, diedIn, 47334
58841, hasGender, 118104
104711, hasGender, 118104
104711, wasBornIn, 47334
68686, diedIn, 47334
68686, hasGender, 118104
57308, diedIn, 47334
57308, hasGender, 118104
86606, hasGender, 118104
86606, wasBornIn, 47334
54773, hasGender, 118104
54773, wasBornIn, 47334
89381, hasGender, 118104
89381, wasBornIn, 47334
10979, hasGender, 118104
10979, wasBornIn, 47334
114587, diedIn, 47334
114587, hasGender, 118104
106070, diedIn, 47334
106070, hasGender, 118104
52200, hasGender, 118104
52200, wasBornIn, 47334
9206, hasGender, 118104
70428, diedIn, 47334
70428, hasGender, 118104
93714, diedIn, 47334
93714, hasGender, 118104
3994, diedIn, 47334
3994, hasGender, 118104
64462, hasGender, 118104
64462, wasBornIn, 47334
69214, hasGender, 118104
69214, wasBornIn, 47334
105104, hasGender, 118104
105104, wasBornIn, 47334
122062, hasGender, 118104
122062, wasBornIn, 47334
72247, hasGender, 118104
72247, wasBornIn, 47334
2002, diedIn, 47334
2002, hasGender, 118104
46307, hasGender, 118104
46307, wasBornIn, 47334
18348, hasGender, 118104
18348, wasBornIn, 47334
63272, diedIn, 47334
63272, hasGender, 118104
67304, hasGender, 118104
67304, wasBornIn, 47334
14987, diedIn, 47334
14987, hasGender, 118104
105576, diedIn, 47334
105576, hasGender, 118104
46667, diedIn, 47334
46667, hasGender, 118104
46667, wasBornIn, 47334
37933, hasGender, 118104
37933, wasBornIn, 47334
81908, diedIn, 47334
81908, hasGender, 118104
115675, diedIn, 47334
115675, hasGender, 118104
115675, wasBornIn, 47334
38988, hasGender, 118104
38988, wasBornIn, 47334
24043, hasGender, 118104
24043, wasBornIn, 47334
108025, hasGender, 118104
108025, isLeaderOf, 47334
108025, isPoliticianOf, 47334
108794, hasGender, 118104
108794, wasBornIn, 47334
Question: How are New_Komeito and Sebastian_Madera related?
Your output must be ONLY the PATH block.
| graph_path | {
"style": "rule"
} | {
"entities": [
"New_Komeito",
"Sebastian_Madera"
],
"valid_edges": [
[
"Akihiko_Hirata",
"diedIn",
"Tokyo"
],
[
"Akihiko_Hirata",
"hasGender",
"male"
],
[
"Andrez_Bergen",
"hasGender",
"male"
],
[
"Andrez_Bergen",
"livesIn",
"Tokyo"
],
[
"Cary-Hiroyuki_Tagawa",
"hasGender",
"male"
],
[
"Cary-Hiroyuki_Tagawa",
"wasBornIn",
"Tokyo"
],
[
"DJ_Krush",
"hasGender",
"male"
],
[
"DJ_Krush",
"wasBornIn",
"Tokyo"
],
[
"Daijiro_Takakuwa",
"hasGender",
"male"
],
[
"Daijiro_Takakuwa",
"wasBornIn",
"Tokyo"
],
[
"Franklin_J._Schaffner",
"hasGender",
"male"
],
[
"Franklin_J._Schaffner",
"wasBornIn",
"Tokyo"
],
[
"Fumihiko_Maki",
"hasGender",
"male"
],
[
"Fumihiko_Maki",
"wasBornIn",
"Tokyo"
],
[
"Hideaki_Kobayashi_(composer)",
"hasGender",
"male"
],
[
"Hideaki_Kobayashi_(composer)",
"wasBornIn",
"Tokyo"
],
[
"Hideki_Yukawa",
"hasGender",
"male"
],
[
"Hideki_Yukawa",
"wasBornIn",
"Tokyo"
],
[
"Hideo_Kobayashi",
"hasGender",
"male"
],
[
"Hideo_Kobayashi",
"wasBornIn",
"Tokyo"
],
[
"Hideo_Kojima",
"hasGender",
"male"
],
[
"Hideo_Kojima",
"wasBornIn",
"Tokyo"
],
[
"Hikaru_Mita",
"hasGender",
"male"
],
[
"Hikaru_Mita",
"wasBornIn",
"Tokyo"
],
[
"Hirohisa_Fujii",
"hasGender",
"male"
],
[
"Hirohisa_Fujii",
"wasBornIn",
"Tokyo"
],
[
"Hiroshi_Aramata",
"hasGender",
"male"
],
[
"Hiroshi_Aramata",
"wasBornIn",
"Tokyo"
],
[
"Hiroshi_Inagaki",
"diedIn",
"Tokyo"
],
[
"Hiroshi_Inagaki",
"hasGender",
"male"
],
[
"Hiroshi_Inagaki",
"wasBornIn",
"Tokyo"
],
[
"Hiroyuki_Sanada",
"hasGender",
"male"
],
[
"Hiroyuki_Sanada",
"wasBornIn",
"Tokyo"
],
[
"Hitoshi_Ashida",
"diedIn",
"Tokyo"
],
[
"Hitoshi_Ashida",
"hasGender",
"male"
],
[
"Hua_Luogeng",
"diedIn",
"Tokyo"
],
[
"Hua_Luogeng",
"hasGender",
"male"
],
[
"Isao_Tomita",
"hasGender",
"male"
],
[
"Isao_Tomita",
"wasBornIn",
"Tokyo"
],
[
"Ishirō_Honda",
"diedIn",
"Tokyo"
],
[
"Ishirō_Honda",
"hasGender",
"male"
],
[
"Jinzō_Toriumi",
"diedIn",
"Tokyo"
],
[
"Jinzō_Toriumi",
"hasGender",
"male"
],
[
"Jun'ichirō_Tanizaki",
"hasGender",
"male"
],
[
"Jun'ichirō_Tanizaki",
"wasBornIn",
"Tokyo"
],
[
"Jun_Marques_Davidson",
"hasGender",
"male"
],
[
"Jun_Marques_Davidson",
"wasBornIn",
"Tokyo"
],
[
"Jun_Tsuji",
"diedIn",
"Tokyo"
],
[
"Jun_Tsuji",
"hasGender",
"male"
],
[
"Jun_Tsuji",
"wasBornIn",
"Tokyo"
],
[
"Junnosuke_Schneider",
"hasGender",
"male"
],
[
"Junnosuke_Schneider",
"wasBornIn",
"Tokyo"
],
[
"Juzo_Itami",
"diedIn",
"Tokyo"
],
[
"Juzo_Itami",
"hasGender",
"male"
],
[
"Katsura_Tarō",
"diedIn",
"Tokyo"
],
[
"Katsura_Tarō",
"hasGender",
"male"
],
[
"Katō_Tomosaburō",
"diedIn",
"Tokyo"
],
[
"Katō_Tomosaburō",
"hasGender",
"male"
],
[
"Kazumi_Totaka",
"hasGender",
"male"
],
[
"Kazumi_Totaka",
"wasBornIn",
"Tokyo"
],
[
"Kazuo_Yamazaki",
"hasGender",
"male"
],
[
"Kazuo_Yamazaki",
"wasBornIn",
"Tokyo"
],
[
"Keizō_Obuchi",
"diedIn",
"Tokyo"
],
[
"Keizō_Obuchi",
"hasGender",
"male"
],
[
"Keizō_Obuchi",
"isAffiliatedTo",
"New_Komeito"
],
[
"Ken_Akamatsu",
"hasGender",
"male"
],
[
"Ken_Akamatsu",
"livesIn",
"Tokyo"
],
[
"Ken_Ogata",
"hasGender",
"male"
],
[
"Ken_Ogata",
"wasBornIn",
"Tokyo"
],
[
"Ken_Sugimori",
"hasGender",
"male"
],
[
"Ken_Sugimori",
"wasBornIn",
"Tokyo"
],
[
"Kenji_Ito",
"hasGender",
"male"
],
[
"Kenji_Ito",
"wasBornIn",
"Tokyo"
],
[
"Kenji_Kawai",
"hasGender",
"male"
],
[
"Kenji_Kawai",
"wasBornIn",
"Tokyo"
],
[
"Kenji_Mizoguchi",
"hasGender",
"male"
],
[
"Kenji_Mizoguchi",
"wasBornIn",
"Tokyo"
],
[
"Kenkichi_Iwasawa",
"diedIn",
"Tokyo"
],
[
"Kenkichi_Iwasawa",
"hasGender",
"male"
],
[
"Kinji_Fukasaku",
"diedIn",
"Tokyo"
],
[
"Kinji_Fukasaku",
"hasGender",
"male"
],
[
"Koichi_Sugiyama",
"hasGender",
"male"
],
[
"Koichi_Sugiyama",
"wasBornIn",
"Tokyo"
],
[
"Kosuke_Ota",
"hasGender",
"male"
],
[
"Kosuke_Ota",
"wasBornIn",
"Tokyo"
],
[
"Kuniaki_Koiso",
"diedIn",
"Tokyo"
],
[
"Kuniaki_Koiso",
"hasGender",
"male"
],
[
"Kunihiko_Kodaira",
"hasGender",
"male"
],
[
"Kunihiko_Kodaira",
"wasBornIn",
"Tokyo"
],
[
"Kyōka_Izumi",
"diedIn",
"Tokyo"
],
[
"Kyōka_Izumi",
"hasGender",
"male"
],
[
"Kōbō_Abe",
"diedIn",
"Tokyo"
],
[
"Kōbō_Abe",
"hasGender",
"male"
],
[
"Kōichi_Mashimo",
"hasGender",
"male"
],
[
"Kōichi_Mashimo",
"wasBornIn",
"Tokyo"
],
[
"Kōichi_Satō",
"hasGender",
"male"
],
[
"Kōichi_Satō",
"wasBornIn",
"Tokyo"
],
[
"Liang_Sicheng",
"hasGender",
"male"
],
[
"Liang_Sicheng",
"wasBornIn",
"Tokyo"
],
[
"Louis_Calhern",
"diedIn",
"Tokyo"
],
[
"Louis_Calhern",
"hasGender",
"male"
],
[
"Mamoru_Oshii",
"hasGender",
"male"
],
[
"Mamoru_Oshii",
"wasBornIn",
"Tokyo"
],
[
"Masayuki_Suo",
"hasGender",
"male"
],
[
"Masayuki_Suo",
"wasBornIn",
"Tokyo"
],
[
"Michael_A._Levine",
"hasGender",
"male"
],
[
"Michael_A._Levine",
"wasBornIn",
"Tokyo"
],
[
"Mikio_Naruse",
"hasGender",
"male"
],
[
"Mikio_Naruse",
"wasBornIn",
"Tokyo"
],
[
"Mikio_Sato",
"hasGender",
"male"
],
[
"Mikio_Sato",
"wasBornIn",
"Tokyo"
],
[
"Mitsuru_Igarashi",
"hasGender",
"male"
],
[
"Mitsuru_Igarashi",
"wasBornIn",
"Tokyo"
],
[
"Mitsuteru_Yokoyama",
"diedIn",
"Tokyo"
],
[
"Mitsuteru_Yokoyama",
"hasGender",
"male"
],
[
"Morihiro_Higashikuni",
"diedIn",
"Tokyo"
],
[
"Morihiro_Higashikuni",
"hasGender",
"male"
],
[
"Morihiro_Higashikuni",
"wasBornIn",
"Tokyo"
],
[
"Nakamura_Shidō_II",
"hasGender",
"male"
],
[
"Nakamura_Shidō_II",
"wasBornIn",
"Tokyo"
],
[
"Natsume_Sōseki",
"diedIn",
"Tokyo"
],
[
"Natsume_Sōseki",
"hasGender",
"male"
],
[
"Natsume_Sōseki",
"wasBornIn",
"Tokyo"
],
[
"New_Komeito",
"isLocatedIn",
"Tokyo"
],
[
"Nogi_Maresuke",
"diedIn",
"Tokyo"
],
[
"Nogi_Maresuke",
"hasGender",
"male"
],
[
"Osamu_Tezuka",
"diedIn",
"Tokyo"
],
[
"Osamu_Tezuka",
"hasGender",
"male"
],
[
"Paris_Nakajima-Farran",
"hasGender",
"male"
],
[
"Paris_Nakajima-Farran",
"wasBornIn",
"Tokyo"
],
[
"Prince_Higashifushimi_Yorihito",
"diedIn",
"Tokyo"
],
[
"Prince_Higashifushimi_Yorihito",
"hasGender",
"male"
],
[
"Prince_Naruhiko_Higashikuni",
"diedIn",
"Tokyo"
],
[
"Prince_Naruhiko_Higashikuni",
"hasGender",
"male"
],
[
"Renji_Ishibashi",
"hasGender",
"male"
],
[
"Renji_Ishibashi",
"wasBornIn",
"Tokyo"
],
[
"Rintaro",
"hasGender",
"male"
],
[
"Rintaro",
"wasBornIn",
"Tokyo"
],
[
"Ryuichi_Sakamoto",
"hasGender",
"male"
],
[
"Ryuichi_Sakamoto",
"wasBornIn",
"Tokyo"
],
[
"Ryūnosuke_Akutagawa",
"hasGender",
"male"
],
[
"Ryūnosuke_Akutagawa",
"wasBornIn",
"Tokyo"
],
[
"Saitō_Makoto",
"diedIn",
"Tokyo"
],
[
"Saitō_Makoto",
"hasGender",
"male"
],
[
"Satoshi_Kon",
"diedIn",
"Tokyo"
],
[
"Satoshi_Kon",
"hasGender",
"male"
],
[
"Satoshi_Tajiri",
"hasGender",
"male"
],
[
"Satoshi_Tajiri",
"wasBornIn",
"Tokyo"
],
[
"Sebastian_Madera",
"hasGender",
"male"
],
[
"Sessue_Hayakawa",
"diedIn",
"Tokyo"
],
[
"Sessue_Hayakawa",
"hasGender",
"male"
],
[
"Shigeo_Yaegashi",
"diedIn",
"Tokyo"
],
[
"Shigeo_Yaegashi",
"hasGender",
"male"
],
[
"Shigeru_Yoshida",
"diedIn",
"Tokyo"
],
[
"Shigeru_Yoshida",
"hasGender",
"male"
],
[
"Shinya_Tsukamoto",
"hasGender",
"male"
],
[
"Shinya_Tsukamoto",
"wasBornIn",
"Tokyo"
],
[
"Sho_Kosugi",
"hasGender",
"male"
],
[
"Sho_Kosugi",
"wasBornIn",
"Tokyo"
],
[
"Shohei_Imamura",
"hasGender",
"male"
],
[
"Shohei_Imamura",
"wasBornIn",
"Tokyo"
],
[
"Shokichi_Iyanaga",
"hasGender",
"male"
],
[
"Shokichi_Iyanaga",
"wasBornIn",
"Tokyo"
],
[
"Sin-Itiro_Tomonaga",
"hasGender",
"male"
],
[
"Sin-Itiro_Tomonaga",
"wasBornIn",
"Tokyo"
],
[
"Takashi_Shimura",
"diedIn",
"Tokyo"
],
[
"Takashi_Shimura",
"hasGender",
"male"
],
[
"Takuro_Nishimura",
"hasGender",
"male"
],
[
"Takuro_Nishimura",
"wasBornIn",
"Tokyo"
],
[
"Takuya_Yamada",
"hasGender",
"male"
],
[
"Takuya_Yamada",
"wasBornIn",
"Tokyo"
],
[
"Tatsuo_Yoshida",
"diedIn",
"Tokyo"
],
[
"Tatsuo_Yoshida",
"hasGender",
"male"
],
[
"Tatsuya_Nakadai",
"hasGender",
"male"
],
[
"Tatsuya_Nakadai",
"wasBornIn",
"Tokyo"
],
[
"Teiji_Takagi",
"diedIn",
"Tokyo"
],
[
"Teiji_Takagi",
"hasGender",
"male"
],
[
"Terauchi_Masatake",
"diedIn",
"Tokyo"
],
[
"Terauchi_Masatake",
"hasGender",
"male"
],
[
"Tetsurō_Tamba",
"diedIn",
"Tokyo"
],
[
"Tetsurō_Tamba",
"hasGender",
"male"
],
[
"Tetsurō_Tamba",
"wasBornIn",
"Tokyo"
],
[
"Tsugumi_Ohba",
"hasGender",
"male"
],
[
"Tsugumi_Ohba",
"wasBornIn",
"Tokyo"
],
[
"Tōgō_Heihachirō",
"diedIn",
"Tokyo"
],
[
"Tōgō_Heihachirō",
"hasGender",
"male"
],
[
"Yasujirō_Ozu",
"diedIn",
"Tokyo"
],
[
"Yasujirō_Ozu",
"hasGender",
"male"
],
[
"Yasujirō_Ozu",
"wasBornIn",
"Tokyo"
],
[
"Yu_Hoshide",
"hasGender",
"male"
],
[
"Yu_Hoshide",
"wasBornIn",
"Tokyo"
],
[
"Yōhei_Kajiyama",
"hasGender",
"male"
],
[
"Yōhei_Kajiyama",
"wasBornIn",
"Tokyo"
],
[
"Yōichi_Masuzoe",
"hasGender",
"male"
],
[
"Yōichi_Masuzoe",
"isLeaderOf",
"Tokyo"
],
[
"Yōichi_Masuzoe",
"isPoliticianOf",
"Tokyo"
],
[
"Yōsuke_Saito",
"hasGender",
"male"
],
[
"Yōsuke_Saito",
"wasBornIn",
"Tokyo"
]
],
"ground_truth": [],
"gt_cost": null
} |
YAGO |
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
99100, American_Basketball_Association_(2000–present)
120437, Baloncesto_Superior_Nacional
17248, Chicago_Bulls
10314, Continental_Basketball_Association
89071, Cory_Hightower
48146, Dave_Johnson_(basketball)
51102, Doug_Overton
62052, Duane_Washington
78511, Evgeni_Aldonin
46364, Fort_Wayne_Fury
31238, Gary_Steelheads
93934, Grand_Rapids_Hoops
41405, LNB_Pro_A
53529, Lega_Basket_Serie_A
64767, Liga_ACB
71369, Los_Angeles_Clippers
61419, Marinos_de_Anzoátegui
64245, Mets_de_Guaynabo_(basketball)
122399, Michael_McDonald_(basketball)
6990, Michigan_Mayhem
23649, Mike_Helms
46162, Olden_Polynice
16384, Rapid_City_Thrillers
13639, Rockford_Lightning
37996, Roy_Tarpley
74277, Sam_Mack
100517, United_States_Basketball_League
116961, Yakima_Sun_Kings
118104, male
src, edge_attr, dst
89071, hasGender, 118104
89071, isAffiliatedTo, 31238
89071, isAffiliatedTo, 61419
89071, isAffiliatedTo, 6990
89071, isAffiliatedTo, 13639
89071, isAffiliatedTo, 116961
48146, hasGender, 118104
48146, isAffiliatedTo, 120437
48146, isAffiliatedTo, 17248
48146, isAffiliatedTo, 10314
48146, isAffiliatedTo, 41405
48146, isAffiliatedTo, 53529
48146, isAffiliatedTo, 64767
48146, isAffiliatedTo, 64245
48146, isAffiliatedTo, 6990
48146, isAffiliatedTo, 16384
48146, isAffiliatedTo, 13639
51102, hasGender, 118104
51102, isAffiliatedTo, 99100
51102, isAffiliatedTo, 10314
51102, isAffiliatedTo, 64767
51102, isAffiliatedTo, 71369
51102, isAffiliatedTo, 6990
51102, isAffiliatedTo, 13639
62052, hasGender, 118104
62052, isAffiliatedTo, 10314
62052, isAffiliatedTo, 93934
62052, isAffiliatedTo, 41405
62052, isAffiliatedTo, 64767
62052, isAffiliatedTo, 71369
62052, isAffiliatedTo, 6990
62052, isAffiliatedTo, 16384
62052, isAffiliatedTo, 13639
62052, isAffiliatedTo, 100517
78511, hasGender, 118104
122399, hasGender, 118104
122399, isAffiliatedTo, 120437
122399, isAffiliatedTo, 10314
122399, isAffiliatedTo, 46364
122399, isAffiliatedTo, 93934
122399, isAffiliatedTo, 41405
122399, isAffiliatedTo, 64245
122399, isAffiliatedTo, 6990
23649, hasGender, 118104
23649, isAffiliatedTo, 6990
46162, hasGender, 118104
46162, isAffiliatedTo, 99100
46162, isAffiliatedTo, 17248
46162, isAffiliatedTo, 10314
46162, isAffiliatedTo, 31238
46162, isAffiliatedTo, 93934
46162, isAffiliatedTo, 53529
46162, isAffiliatedTo, 71369
46162, isAffiliatedTo, 6990
46162, isAffiliatedTo, 100517
37996, hasGender, 118104
37996, isAffiliatedTo, 10314
37996, isAffiliatedTo, 6990
37996, isAffiliatedTo, 100517
74277, hasGender, 118104
74277, isAffiliatedTo, 10314
74277, isAffiliatedTo, 46364
74277, isAffiliatedTo, 31238
74277, isAffiliatedTo, 93934
74277, isAffiliatedTo, 61419
74277, isAffiliatedTo, 6990
74277, isAffiliatedTo, 16384
74277, isAffiliatedTo, 13639
74277, isAffiliatedTo, 100517
74277, isAffiliatedTo, 116961
Question: For what reason are Evgeni_Aldonin and Michigan_Mayhem associated?
Your output must be ONLY the PATH block.
| graph_path | {
"style": "rule"
} | {
"entities": [
"Evgeni_Aldonin",
"Michigan_Mayhem"
],
"valid_edges": [
[
"Cory_Hightower",
"hasGender",
"male"
],
[
"Cory_Hightower",
"isAffiliatedTo",
"Gary_Steelheads"
],
[
"Cory_Hightower",
"isAffiliatedTo",
"Marinos_de_Anzoátegui"
],
[
"Cory_Hightower",
"isAffiliatedTo",
"Michigan_Mayhem"
],
[
"Cory_Hightower",
"isAffiliatedTo",
"Rockford_Lightning"
],
[
"Cory_Hightower",
"isAffiliatedTo",
"Yakima_Sun_Kings"
],
[
"Dave_Johnson_(basketball)",
"hasGender",
"male"
],
[
"Dave_Johnson_(basketball)",
"isAffiliatedTo",
"Baloncesto_Superior_Nacional"
],
[
"Dave_Johnson_(basketball)",
"isAffiliatedTo",
"Chicago_Bulls"
],
[
"Dave_Johnson_(basketball)",
"isAffiliatedTo",
"Continental_Basketball_Association"
],
[
"Dave_Johnson_(basketball)",
"isAffiliatedTo",
"LNB_Pro_A"
],
[
"Dave_Johnson_(basketball)",
"isAffiliatedTo",
"Lega_Basket_Serie_A"
],
[
"Dave_Johnson_(basketball)",
"isAffiliatedTo",
"Liga_ACB"
],
[
"Dave_Johnson_(basketball)",
"isAffiliatedTo",
"Mets_de_Guaynabo_(basketball)"
],
[
"Dave_Johnson_(basketball)",
"isAffiliatedTo",
"Michigan_Mayhem"
],
[
"Dave_Johnson_(basketball)",
"isAffiliatedTo",
"Rapid_City_Thrillers"
],
[
"Dave_Johnson_(basketball)",
"isAffiliatedTo",
"Rockford_Lightning"
],
[
"Doug_Overton",
"hasGender",
"male"
],
[
"Doug_Overton",
"isAffiliatedTo",
"American_Basketball_Association_(2000–present)"
],
[
"Doug_Overton",
"isAffiliatedTo",
"Continental_Basketball_Association"
],
[
"Doug_Overton",
"isAffiliatedTo",
"Liga_ACB"
],
[
"Doug_Overton",
"isAffiliatedTo",
"Los_Angeles_Clippers"
],
[
"Doug_Overton",
"isAffiliatedTo",
"Michigan_Mayhem"
],
[
"Doug_Overton",
"isAffiliatedTo",
"Rockford_Lightning"
],
[
"Duane_Washington",
"hasGender",
"male"
],
[
"Duane_Washington",
"isAffiliatedTo",
"Continental_Basketball_Association"
],
[
"Duane_Washington",
"isAffiliatedTo",
"Grand_Rapids_Hoops"
],
[
"Duane_Washington",
"isAffiliatedTo",
"LNB_Pro_A"
],
[
"Duane_Washington",
"isAffiliatedTo",
"Liga_ACB"
],
[
"Duane_Washington",
"isAffiliatedTo",
"Los_Angeles_Clippers"
],
[
"Duane_Washington",
"isAffiliatedTo",
"Michigan_Mayhem"
],
[
"Duane_Washington",
"isAffiliatedTo",
"Rapid_City_Thrillers"
],
[
"Duane_Washington",
"isAffiliatedTo",
"Rockford_Lightning"
],
[
"Duane_Washington",
"isAffiliatedTo",
"United_States_Basketball_League"
],
[
"Evgeni_Aldonin",
"hasGender",
"male"
],
[
"Michael_McDonald_(basketball)",
"hasGender",
"male"
],
[
"Michael_McDonald_(basketball)",
"isAffiliatedTo",
"Baloncesto_Superior_Nacional"
],
[
"Michael_McDonald_(basketball)",
"isAffiliatedTo",
"Continental_Basketball_Association"
],
[
"Michael_McDonald_(basketball)",
"isAffiliatedTo",
"Fort_Wayne_Fury"
],
[
"Michael_McDonald_(basketball)",
"isAffiliatedTo",
"Grand_Rapids_Hoops"
],
[
"Michael_McDonald_(basketball)",
"isAffiliatedTo",
"LNB_Pro_A"
],
[
"Michael_McDonald_(basketball)",
"isAffiliatedTo",
"Mets_de_Guaynabo_(basketball)"
],
[
"Michael_McDonald_(basketball)",
"isAffiliatedTo",
"Michigan_Mayhem"
],
[
"Mike_Helms",
"hasGender",
"male"
],
[
"Mike_Helms",
"isAffiliatedTo",
"Michigan_Mayhem"
],
[
"Olden_Polynice",
"hasGender",
"male"
],
[
"Olden_Polynice",
"isAffiliatedTo",
"American_Basketball_Association_(2000–present)"
],
[
"Olden_Polynice",
"isAffiliatedTo",
"Chicago_Bulls"
],
[
"Olden_Polynice",
"isAffiliatedTo",
"Continental_Basketball_Association"
],
[
"Olden_Polynice",
"isAffiliatedTo",
"Gary_Steelheads"
],
[
"Olden_Polynice",
"isAffiliatedTo",
"Grand_Rapids_Hoops"
],
[
"Olden_Polynice",
"isAffiliatedTo",
"Lega_Basket_Serie_A"
],
[
"Olden_Polynice",
"isAffiliatedTo",
"Los_Angeles_Clippers"
],
[
"Olden_Polynice",
"isAffiliatedTo",
"Michigan_Mayhem"
],
[
"Olden_Polynice",
"isAffiliatedTo",
"United_States_Basketball_League"
],
[
"Roy_Tarpley",
"hasGender",
"male"
],
[
"Roy_Tarpley",
"isAffiliatedTo",
"Continental_Basketball_Association"
],
[
"Roy_Tarpley",
"isAffiliatedTo",
"Michigan_Mayhem"
],
[
"Roy_Tarpley",
"isAffiliatedTo",
"United_States_Basketball_League"
],
[
"Sam_Mack",
"hasGender",
"male"
],
[
"Sam_Mack",
"isAffiliatedTo",
"Continental_Basketball_Association"
],
[
"Sam_Mack",
"isAffiliatedTo",
"Fort_Wayne_Fury"
],
[
"Sam_Mack",
"isAffiliatedTo",
"Gary_Steelheads"
],
[
"Sam_Mack",
"isAffiliatedTo",
"Grand_Rapids_Hoops"
],
[
"Sam_Mack",
"isAffiliatedTo",
"Marinos_de_Anzoátegui"
],
[
"Sam_Mack",
"isAffiliatedTo",
"Michigan_Mayhem"
],
[
"Sam_Mack",
"isAffiliatedTo",
"Rapid_City_Thrillers"
],
[
"Sam_Mack",
"isAffiliatedTo",
"Rockford_Lightning"
],
[
"Sam_Mack",
"isAffiliatedTo",
"United_States_Basketball_League"
],
[
"Sam_Mack",
"isAffiliatedTo",
"Yakima_Sun_Kings"
]
],
"ground_truth": [],
"gt_cost": null
} |
YAGO |
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
82679, Chen_Shui-bian
59067, Chiang_Ching-kuo
104947, Chiang_Kai-shek
93786, Chu_Ching-wu
50545, Henry_Lau
72213, JJ_Lin
31326, Jacky_Cheung
40446, Jay_Chou
14263, Lee_Teng-hui
22443, Li_Fang-Kuei
79537, Ma_Ying-jeou
121815, Milorad_Nikolić_(footballer_born_1984)
32910, New_Taipei_City
65694, Shiing-Shen_Chern
13515, Sho-Chieh_Tsiang
109657, Sun_Yat-sen
39676, Taiwan
52704, Wen-Hsiung_Li
74332, Wu_Den-yih
41567, Yuan_Shikai
54905, Yuan_T._Lee
118104, male
src, edge_attr, dst
82679, hasGender, 118104
82679, isCitizenOf, 39676
82679, isPoliticianOf, 39676
59067, hasGender, 118104
59067, isPoliticianOf, 39676
104947, hasGender, 118104
104947, isPoliticianOf, 39676
93786, hasGender, 118104
93786, isCitizenOf, 39676
50545, hasGender, 118104
72213, hasGender, 118104
31326, hasGender, 118104
31326, influences, 40446
40446, hasGender, 118104
40446, influences, 50545
40446, influences, 72213
40446, wasBornIn, 32910
14263, hasGender, 118104
14263, isCitizenOf, 39676
14263, isPoliticianOf, 39676
22443, hasGender, 118104
22443, isCitizenOf, 39676
79537, hasGender, 118104
79537, isCitizenOf, 39676
79537, isLeaderOf, 39676
79537, isPoliticianOf, 39676
121815, hasGender, 118104
32910, isLocatedIn, 39676
65694, hasGender, 118104
65694, isCitizenOf, 39676
13515, hasGender, 118104
13515, isCitizenOf, 39676
109657, hasGender, 118104
109657, isPoliticianOf, 39676
52704, hasGender, 118104
52704, isCitizenOf, 39676
74332, hasGender, 118104
74332, isLeaderOf, 39676
74332, isPoliticianOf, 39676
41567, hasGender, 118104
41567, isPoliticianOf, 39676
54905, hasGender, 118104
54905, isCitizenOf, 39676
54905, livesIn, 39676
Question: For what reason are Milorad_Nikolić_(footballer_born_1984) and New_Taipei_City associated?
Your output must be ONLY the PATH block.
| graph_path | {
"style": "rule"
} | {
"entities": [
"Milorad_Nikolić_(footballer_born_1984)",
"New_Taipei_City"
],
"valid_edges": [
[
"Chen_Shui-bian",
"hasGender",
"male"
],
[
"Chen_Shui-bian",
"isCitizenOf",
"Taiwan"
],
[
"Chen_Shui-bian",
"isPoliticianOf",
"Taiwan"
],
[
"Chiang_Ching-kuo",
"hasGender",
"male"
],
[
"Chiang_Ching-kuo",
"isPoliticianOf",
"Taiwan"
],
[
"Chiang_Kai-shek",
"hasGender",
"male"
],
[
"Chiang_Kai-shek",
"isPoliticianOf",
"Taiwan"
],
[
"Chu_Ching-wu",
"hasGender",
"male"
],
[
"Chu_Ching-wu",
"isCitizenOf",
"Taiwan"
],
[
"Henry_Lau",
"hasGender",
"male"
],
[
"JJ_Lin",
"hasGender",
"male"
],
[
"Jacky_Cheung",
"hasGender",
"male"
],
[
"Jacky_Cheung",
"influences",
"Jay_Chou"
],
[
"Jay_Chou",
"hasGender",
"male"
],
[
"Jay_Chou",
"influences",
"Henry_Lau"
],
[
"Jay_Chou",
"influences",
"JJ_Lin"
],
[
"Jay_Chou",
"wasBornIn",
"New_Taipei_City"
],
[
"Lee_Teng-hui",
"hasGender",
"male"
],
[
"Lee_Teng-hui",
"isCitizenOf",
"Taiwan"
],
[
"Lee_Teng-hui",
"isPoliticianOf",
"Taiwan"
],
[
"Li_Fang-Kuei",
"hasGender",
"male"
],
[
"Li_Fang-Kuei",
"isCitizenOf",
"Taiwan"
],
[
"Ma_Ying-jeou",
"hasGender",
"male"
],
[
"Ma_Ying-jeou",
"isCitizenOf",
"Taiwan"
],
[
"Ma_Ying-jeou",
"isLeaderOf",
"Taiwan"
],
[
"Ma_Ying-jeou",
"isPoliticianOf",
"Taiwan"
],
[
"Milorad_Nikolić_(footballer_born_1984)",
"hasGender",
"male"
],
[
"New_Taipei_City",
"isLocatedIn",
"Taiwan"
],
[
"Shiing-Shen_Chern",
"hasGender",
"male"
],
[
"Shiing-Shen_Chern",
"isCitizenOf",
"Taiwan"
],
[
"Sho-Chieh_Tsiang",
"hasGender",
"male"
],
[
"Sho-Chieh_Tsiang",
"isCitizenOf",
"Taiwan"
],
[
"Sun_Yat-sen",
"hasGender",
"male"
],
[
"Sun_Yat-sen",
"isPoliticianOf",
"Taiwan"
],
[
"Wen-Hsiung_Li",
"hasGender",
"male"
],
[
"Wen-Hsiung_Li",
"isCitizenOf",
"Taiwan"
],
[
"Wu_Den-yih",
"hasGender",
"male"
],
[
"Wu_Den-yih",
"isLeaderOf",
"Taiwan"
],
[
"Wu_Den-yih",
"isPoliticianOf",
"Taiwan"
],
[
"Yuan_Shikai",
"hasGender",
"male"
],
[
"Yuan_Shikai",
"isPoliticianOf",
"Taiwan"
],
[
"Yuan_T._Lee",
"hasGender",
"male"
],
[
"Yuan_T._Lee",
"isCitizenOf",
"Taiwan"
],
[
"Yuan_T._Lee",
"livesIn",
"Taiwan"
]
],
"ground_truth": [],
"gt_cost": null
} |
YAGO |
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
105678, Adebayo_Akinfenwa
95647, Andrius_Gedgaudas
118422, Barry_Town_United_F.C.
120819, Darius_Žutautas
19925, Edmund_Leach
87257, FK_Atlantas
36640, FK_Banga_Gargždai
67299, Gargždai
118500, Klaipėda
17202, Lithuania
88112, Raimondas_Žutautas
3520, Tomas_Tamošauskas
100654, United_Kingdom
src, edge_attr, dst
105678, isAffiliatedTo, 118422
105678, isAffiliatedTo, 87257
105678, playsFor, 118422
105678, playsFor, 87257
95647, isAffiliatedTo, 87257
95647, isAffiliatedTo, 36640
95647, playsFor, 87257
95647, playsFor, 36640
118422, isLocatedIn, 100654
120819, isAffiliatedTo, 87257
120819, isAffiliatedTo, 36640
120819, playsFor, 87257
120819, playsFor, 36640
120819, wasBornIn, 67299
19925, isCitizenOf, 100654
87257, isLocatedIn, 118500
118500, isLocatedIn, 17202
17202, dealsWith, 100654
88112, isAffiliatedTo, 87257
88112, isAffiliatedTo, 36640
88112, playsFor, 87257
88112, playsFor, 36640
88112, wasBornIn, 118500
3520, isAffiliatedTo, 87257
3520, isAffiliatedTo, 36640
3520, playsFor, 87257
3520, playsFor, 36640
3520, wasBornIn, 67299
Question: For what reason are Edmund_Leach and FK_Atlantas associated?
Your output must be ONLY the PATH block.
| graph_path | {
"style": "rule"
} | {
"entities": [
"Edmund_Leach",
"FK_Atlantas"
],
"valid_edges": [
[
"Adebayo_Akinfenwa",
"isAffiliatedTo",
"Barry_Town_United_F.C."
],
[
"Adebayo_Akinfenwa",
"isAffiliatedTo",
"FK_Atlantas"
],
[
"Adebayo_Akinfenwa",
"playsFor",
"Barry_Town_United_F.C."
],
[
"Adebayo_Akinfenwa",
"playsFor",
"FK_Atlantas"
],
[
"Andrius_Gedgaudas",
"isAffiliatedTo",
"FK_Atlantas"
],
[
"Andrius_Gedgaudas",
"isAffiliatedTo",
"FK_Banga_Gargždai"
],
[
"Andrius_Gedgaudas",
"playsFor",
"FK_Atlantas"
],
[
"Andrius_Gedgaudas",
"playsFor",
"FK_Banga_Gargždai"
],
[
"Barry_Town_United_F.C.",
"isLocatedIn",
"United_Kingdom"
],
[
"Darius_Žutautas",
"isAffiliatedTo",
"FK_Atlantas"
],
[
"Darius_Žutautas",
"isAffiliatedTo",
"FK_Banga_Gargždai"
],
[
"Darius_Žutautas",
"playsFor",
"FK_Atlantas"
],
[
"Darius_Žutautas",
"playsFor",
"FK_Banga_Gargždai"
],
[
"Darius_Žutautas",
"wasBornIn",
"Gargždai"
],
[
"Edmund_Leach",
"isCitizenOf",
"United_Kingdom"
],
[
"FK_Atlantas",
"isLocatedIn",
"Klaipėda"
],
[
"Klaipėda",
"isLocatedIn",
"Lithuania"
],
[
"Lithuania",
"dealsWith",
"United_Kingdom"
],
[
"Raimondas_Žutautas",
"isAffiliatedTo",
"FK_Atlantas"
],
[
"Raimondas_Žutautas",
"isAffiliatedTo",
"FK_Banga_Gargždai"
],
[
"Raimondas_Žutautas",
"playsFor",
"FK_Atlantas"
],
[
"Raimondas_Žutautas",
"playsFor",
"FK_Banga_Gargždai"
],
[
"Raimondas_Žutautas",
"wasBornIn",
"Klaipėda"
],
[
"Tomas_Tamošauskas",
"isAffiliatedTo",
"FK_Atlantas"
],
[
"Tomas_Tamošauskas",
"isAffiliatedTo",
"FK_Banga_Gargždai"
],
[
"Tomas_Tamošauskas",
"playsFor",
"FK_Atlantas"
],
[
"Tomas_Tamošauskas",
"playsFor",
"FK_Banga_Gargždai"
],
[
"Tomas_Tamošauskas",
"wasBornIn",
"Gargždai"
]
],
"ground_truth": [],
"gt_cost": null
} |
YAGO |
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
53365, England
20181, Peter_Corr
111066, Preston
89343, Preston_North_End_F.C.
97334, Royal_Tunbridge_Wells
src, edge_attr, dst
20181, isAffiliatedTo, 89343
20181, playsFor, 89343
111066, isLocatedIn, 53365
89343, isLocatedIn, 111066
97334, isLocatedIn, 53365
Question: For what reason are Peter_Corr and Royal_Tunbridge_Wells associated?
Your output must be ONLY the PATH block.
| graph_path | {
"style": "rule"
} | {
"entities": [
"Peter_Corr",
"Royal_Tunbridge_Wells"
],
"valid_edges": [
[
"Peter_Corr",
"isAffiliatedTo",
"Preston_North_End_F.C."
],
[
"Peter_Corr",
"playsFor",
"Preston_North_End_F.C."
],
[
"Preston",
"isLocatedIn",
"England"
],
[
"Preston_North_End_F.C.",
"isLocatedIn",
"Preston"
],
[
"Royal_Tunbridge_Wells",
"isLocatedIn",
"England"
]
],
"ground_truth": [],
"gt_cost": null
} |
YAGO |
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
114430, Adriano_Leite_Ribeiro
25238, Alcindo_Sartori
5874, André_Bahia
18512, André_Santos
32425, Arthur_Bernardes_Ribas_da_Silva_Filho
51254, Baltazar_Maria_de_Morais_Júnior
100020, Botafogo_F.R.
1456, Branco_(footballer)
89579, Bruno_Fernandes_de_Souza
29879, Bruno_Quadros
5984, C.R._Flamengo
29004, Carlos_Alberto_Torres
105817, Carlos_Alberto_de_Jesus
92610, Carlos_Gamarra
21320, Claiton_Fontoura_dos_Santos
46114, Cristian_Baroni
112851, Daniel_Mendes
98144, Elias_Mendes_Trindade
45597, Emerson_Sheik
71484, Garrincha
13232, Germán_Herrera
90103, Gilberto_Ribeiro_Gonçalves
107744, Jorge_Cadete
116769, José_Carlos_Garcia_Leal
8682, José_Roberto_de_Oliveira
86672, Joubert_Araújo_Martins
72066, João_Carlos_dos_Santos
28016, Jônatas_Domingos
74913, Leovegildo_Lins_da_Gama_Júnior
57610, Liédson
1951, Luiz_Bombonato_Goulart
96430, Marcelo_Mattos
42877, Marques_Batista_de_Abreu
114922, Mário_Zagallo
17794, Nenê_(footballer_born_1981)
27591, Osmar_Donizete_Cândido
33981, Paulo_Amaral
570, Paulo_Cézar_Caju
75772, R.C._Celta_de_Vigo
19862, Rafael_Scheidt
15627, Ramón_Osni_Moreira_Lage
47479, Reinaldo_da_Cruz_Oliveira
122107, Renato_Augusto
106316, Rodrigo_Moreno_Machado
52721, Roger_Guerreiro
791, S.C._Corinthians_Paulista
73002, Túlio_Lustosa_Seixas_Pinheiro
59037, Vanderlei_Luxemburgo
38169, Victor_Simões
src, edge_attr, dst
114430, isAffiliatedTo, 5984
114430, isAffiliatedTo, 791
25238, isAffiliatedTo, 5984
25238, isAffiliatedTo, 791
5874, isAffiliatedTo, 100020
5874, isAffiliatedTo, 5984
18512, isAffiliatedTo, 5984
18512, isAffiliatedTo, 791
32425, isAffiliatedTo, 100020
32425, isAffiliatedTo, 5984
51254, isAffiliatedTo, 100020
51254, isAffiliatedTo, 75772
1456, isAffiliatedTo, 5984
1456, isAffiliatedTo, 791
89579, isAffiliatedTo, 5984
89579, isAffiliatedTo, 791
29879, isAffiliatedTo, 100020
29879, isAffiliatedTo, 5984
29004, isAffiliatedTo, 100020
29004, isAffiliatedTo, 5984
29004, isAffiliatedTo, 791
105817, isAffiliatedTo, 100020
105817, isAffiliatedTo, 791
92610, isAffiliatedTo, 5984
92610, isAffiliatedTo, 791
21320, isAffiliatedTo, 100020
21320, isAffiliatedTo, 5984
46114, isAffiliatedTo, 5984
46114, isAffiliatedTo, 791
112851, isAffiliatedTo, 100020
112851, isAffiliatedTo, 791
98144, isAffiliatedTo, 5984
98144, isAffiliatedTo, 791
45597, isAffiliatedTo, 5984
45597, isAffiliatedTo, 791
71484, isAffiliatedTo, 100020
71484, isAffiliatedTo, 5984
71484, isAffiliatedTo, 791
13232, isAffiliatedTo, 100020
13232, isAffiliatedTo, 791
90103, isAffiliatedTo, 100020
90103, isAffiliatedTo, 5984
90103, isAffiliatedTo, 791
107744, isAffiliatedTo, 75772
116769, isAffiliatedTo, 100020
116769, isAffiliatedTo, 791
8682, isAffiliatedTo, 100020
8682, isAffiliatedTo, 5984
86672, isAffiliatedTo, 100020
86672, isAffiliatedTo, 5984
72066, isAffiliatedTo, 100020
72066, isAffiliatedTo, 791
28016, isAffiliatedTo, 100020
28016, isAffiliatedTo, 5984
74913, isAffiliatedTo, 5984
74913, isAffiliatedTo, 791
57610, isAffiliatedTo, 5984
57610, isAffiliatedTo, 791
1951, isAffiliatedTo, 100020
1951, isAffiliatedTo, 5984
96430, isAffiliatedTo, 100020
96430, isAffiliatedTo, 791
42877, isAffiliatedTo, 5984
42877, isAffiliatedTo, 791
114922, isAffiliatedTo, 100020
114922, isAffiliatedTo, 5984
17794, isAffiliatedTo, 75772
17794, isAffiliatedTo, 791
27591, isAffiliatedTo, 100020
27591, isAffiliatedTo, 791
33981, isAffiliatedTo, 100020
33981, isAffiliatedTo, 5984
570, isAffiliatedTo, 100020
570, isAffiliatedTo, 5984
570, isAffiliatedTo, 791
19862, isAffiliatedTo, 100020
19862, isAffiliatedTo, 791
15627, isAffiliatedTo, 5984
15627, isAffiliatedTo, 791
47479, isAffiliatedTo, 100020
47479, isAffiliatedTo, 5984
122107, isAffiliatedTo, 5984
122107, isAffiliatedTo, 791
106316, isAffiliatedTo, 5984
106316, isAffiliatedTo, 75772
52721, isAffiliatedTo, 5984
52721, isAffiliatedTo, 75772
52721, isAffiliatedTo, 791
73002, isAffiliatedTo, 100020
73002, isAffiliatedTo, 791
59037, isAffiliatedTo, 100020
59037, isAffiliatedTo, 5984
59037, isAffiliatedTo, 791
38169, isAffiliatedTo, 100020
38169, isAffiliatedTo, 5984
Question: How are Jorge_Cadete and Paulo_Cézar_Caju related?
Your output must be ONLY the PATH block.
| graph_path | {
"style": "rule"
} | {
"entities": [
"Jorge_Cadete",
"Paulo_Cézar_Caju"
],
"valid_edges": [
[
"Adriano_Leite_Ribeiro",
"isAffiliatedTo",
"C.R._Flamengo"
],
[
"Adriano_Leite_Ribeiro",
"isAffiliatedTo",
"S.C._Corinthians_Paulista"
],
[
"Alcindo_Sartori",
"isAffiliatedTo",
"C.R._Flamengo"
],
[
"Alcindo_Sartori",
"isAffiliatedTo",
"S.C._Corinthians_Paulista"
],
[
"André_Bahia",
"isAffiliatedTo",
"Botafogo_F.R."
],
[
"André_Bahia",
"isAffiliatedTo",
"C.R._Flamengo"
],
[
"André_Santos",
"isAffiliatedTo",
"C.R._Flamengo"
],
[
"André_Santos",
"isAffiliatedTo",
"S.C._Corinthians_Paulista"
],
[
"Arthur_Bernardes_Ribas_da_Silva_Filho",
"isAffiliatedTo",
"Botafogo_F.R."
],
[
"Arthur_Bernardes_Ribas_da_Silva_Filho",
"isAffiliatedTo",
"C.R._Flamengo"
],
[
"Baltazar_Maria_de_Morais_Júnior",
"isAffiliatedTo",
"Botafogo_F.R."
],
[
"Baltazar_Maria_de_Morais_Júnior",
"isAffiliatedTo",
"R.C._Celta_de_Vigo"
],
[
"Branco_(footballer)",
"isAffiliatedTo",
"C.R._Flamengo"
],
[
"Branco_(footballer)",
"isAffiliatedTo",
"S.C._Corinthians_Paulista"
],
[
"Bruno_Fernandes_de_Souza",
"isAffiliatedTo",
"C.R._Flamengo"
],
[
"Bruno_Fernandes_de_Souza",
"isAffiliatedTo",
"S.C._Corinthians_Paulista"
],
[
"Bruno_Quadros",
"isAffiliatedTo",
"Botafogo_F.R."
],
[
"Bruno_Quadros",
"isAffiliatedTo",
"C.R._Flamengo"
],
[
"Carlos_Alberto_Torres",
"isAffiliatedTo",
"Botafogo_F.R."
],
[
"Carlos_Alberto_Torres",
"isAffiliatedTo",
"C.R._Flamengo"
],
[
"Carlos_Alberto_Torres",
"isAffiliatedTo",
"S.C._Corinthians_Paulista"
],
[
"Carlos_Alberto_de_Jesus",
"isAffiliatedTo",
"Botafogo_F.R."
],
[
"Carlos_Alberto_de_Jesus",
"isAffiliatedTo",
"S.C._Corinthians_Paulista"
],
[
"Carlos_Gamarra",
"isAffiliatedTo",
"C.R._Flamengo"
],
[
"Carlos_Gamarra",
"isAffiliatedTo",
"S.C._Corinthians_Paulista"
],
[
"Claiton_Fontoura_dos_Santos",
"isAffiliatedTo",
"Botafogo_F.R."
],
[
"Claiton_Fontoura_dos_Santos",
"isAffiliatedTo",
"C.R._Flamengo"
],
[
"Cristian_Baroni",
"isAffiliatedTo",
"C.R._Flamengo"
],
[
"Cristian_Baroni",
"isAffiliatedTo",
"S.C._Corinthians_Paulista"
],
[
"Daniel_Mendes",
"isAffiliatedTo",
"Botafogo_F.R."
],
[
"Daniel_Mendes",
"isAffiliatedTo",
"S.C._Corinthians_Paulista"
],
[
"Elias_Mendes_Trindade",
"isAffiliatedTo",
"C.R._Flamengo"
],
[
"Elias_Mendes_Trindade",
"isAffiliatedTo",
"S.C._Corinthians_Paulista"
],
[
"Emerson_Sheik",
"isAffiliatedTo",
"C.R._Flamengo"
],
[
"Emerson_Sheik",
"isAffiliatedTo",
"S.C._Corinthians_Paulista"
],
[
"Garrincha",
"isAffiliatedTo",
"Botafogo_F.R."
],
[
"Garrincha",
"isAffiliatedTo",
"C.R._Flamengo"
],
[
"Garrincha",
"isAffiliatedTo",
"S.C._Corinthians_Paulista"
],
[
"Germán_Herrera",
"isAffiliatedTo",
"Botafogo_F.R."
],
[
"Germán_Herrera",
"isAffiliatedTo",
"S.C._Corinthians_Paulista"
],
[
"Gilberto_Ribeiro_Gonçalves",
"isAffiliatedTo",
"Botafogo_F.R."
],
[
"Gilberto_Ribeiro_Gonçalves",
"isAffiliatedTo",
"C.R._Flamengo"
],
[
"Gilberto_Ribeiro_Gonçalves",
"isAffiliatedTo",
"S.C._Corinthians_Paulista"
],
[
"Jorge_Cadete",
"isAffiliatedTo",
"R.C._Celta_de_Vigo"
],
[
"José_Carlos_Garcia_Leal",
"isAffiliatedTo",
"Botafogo_F.R."
],
[
"José_Carlos_Garcia_Leal",
"isAffiliatedTo",
"S.C._Corinthians_Paulista"
],
[
"José_Roberto_de_Oliveira",
"isAffiliatedTo",
"Botafogo_F.R."
],
[
"José_Roberto_de_Oliveira",
"isAffiliatedTo",
"C.R._Flamengo"
],
[
"Joubert_Araújo_Martins",
"isAffiliatedTo",
"Botafogo_F.R."
],
[
"Joubert_Araújo_Martins",
"isAffiliatedTo",
"C.R._Flamengo"
],
[
"João_Carlos_dos_Santos",
"isAffiliatedTo",
"Botafogo_F.R."
],
[
"João_Carlos_dos_Santos",
"isAffiliatedTo",
"S.C._Corinthians_Paulista"
],
[
"Jônatas_Domingos",
"isAffiliatedTo",
"Botafogo_F.R."
],
[
"Jônatas_Domingos",
"isAffiliatedTo",
"C.R._Flamengo"
],
[
"Leovegildo_Lins_da_Gama_Júnior",
"isAffiliatedTo",
"C.R._Flamengo"
],
[
"Leovegildo_Lins_da_Gama_Júnior",
"isAffiliatedTo",
"S.C._Corinthians_Paulista"
],
[
"Liédson",
"isAffiliatedTo",
"C.R._Flamengo"
],
[
"Liédson",
"isAffiliatedTo",
"S.C._Corinthians_Paulista"
],
[
"Luiz_Bombonato_Goulart",
"isAffiliatedTo",
"Botafogo_F.R."
],
[
"Luiz_Bombonato_Goulart",
"isAffiliatedTo",
"C.R._Flamengo"
],
[
"Marcelo_Mattos",
"isAffiliatedTo",
"Botafogo_F.R."
],
[
"Marcelo_Mattos",
"isAffiliatedTo",
"S.C._Corinthians_Paulista"
],
[
"Marques_Batista_de_Abreu",
"isAffiliatedTo",
"C.R._Flamengo"
],
[
"Marques_Batista_de_Abreu",
"isAffiliatedTo",
"S.C._Corinthians_Paulista"
],
[
"Mário_Zagallo",
"isAffiliatedTo",
"Botafogo_F.R."
],
[
"Mário_Zagallo",
"isAffiliatedTo",
"C.R._Flamengo"
],
[
"Nenê_(footballer_born_1981)",
"isAffiliatedTo",
"R.C._Celta_de_Vigo"
],
[
"Nenê_(footballer_born_1981)",
"isAffiliatedTo",
"S.C._Corinthians_Paulista"
],
[
"Osmar_Donizete_Cândido",
"isAffiliatedTo",
"Botafogo_F.R."
],
[
"Osmar_Donizete_Cândido",
"isAffiliatedTo",
"S.C._Corinthians_Paulista"
],
[
"Paulo_Amaral",
"isAffiliatedTo",
"Botafogo_F.R."
],
[
"Paulo_Amaral",
"isAffiliatedTo",
"C.R._Flamengo"
],
[
"Paulo_Cézar_Caju",
"isAffiliatedTo",
"Botafogo_F.R."
],
[
"Paulo_Cézar_Caju",
"isAffiliatedTo",
"C.R._Flamengo"
],
[
"Paulo_Cézar_Caju",
"isAffiliatedTo",
"S.C._Corinthians_Paulista"
],
[
"Rafael_Scheidt",
"isAffiliatedTo",
"Botafogo_F.R."
],
[
"Rafael_Scheidt",
"isAffiliatedTo",
"S.C._Corinthians_Paulista"
],
[
"Ramón_Osni_Moreira_Lage",
"isAffiliatedTo",
"C.R._Flamengo"
],
[
"Ramón_Osni_Moreira_Lage",
"isAffiliatedTo",
"S.C._Corinthians_Paulista"
],
[
"Reinaldo_da_Cruz_Oliveira",
"isAffiliatedTo",
"Botafogo_F.R."
],
[
"Reinaldo_da_Cruz_Oliveira",
"isAffiliatedTo",
"C.R._Flamengo"
],
[
"Renato_Augusto",
"isAffiliatedTo",
"C.R._Flamengo"
],
[
"Renato_Augusto",
"isAffiliatedTo",
"S.C._Corinthians_Paulista"
],
[
"Rodrigo_Moreno_Machado",
"isAffiliatedTo",
"C.R._Flamengo"
],
[
"Rodrigo_Moreno_Machado",
"isAffiliatedTo",
"R.C._Celta_de_Vigo"
],
[
"Roger_Guerreiro",
"isAffiliatedTo",
"C.R._Flamengo"
],
[
"Roger_Guerreiro",
"isAffiliatedTo",
"R.C._Celta_de_Vigo"
],
[
"Roger_Guerreiro",
"isAffiliatedTo",
"S.C._Corinthians_Paulista"
],
[
"Túlio_Lustosa_Seixas_Pinheiro",
"isAffiliatedTo",
"Botafogo_F.R."
],
[
"Túlio_Lustosa_Seixas_Pinheiro",
"isAffiliatedTo",
"S.C._Corinthians_Paulista"
],
[
"Vanderlei_Luxemburgo",
"isAffiliatedTo",
"Botafogo_F.R."
],
[
"Vanderlei_Luxemburgo",
"isAffiliatedTo",
"C.R._Flamengo"
],
[
"Vanderlei_Luxemburgo",
"isAffiliatedTo",
"S.C._Corinthians_Paulista"
],
[
"Victor_Simões",
"isAffiliatedTo",
"Botafogo_F.R."
],
[
"Victor_Simões",
"isAffiliatedTo",
"C.R._Flamengo"
]
],
"ground_truth": [],
"gt_cost": null
} |
YAGO |
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
115338, Aleksandar_Kristić
107461, FK_Bor
4681, HNK_Trogir
55848, Houston_Hurricane
87595, Ilija_Mitić
47852, Ivan_Katalinić
106861, Ivica_Pirić
38058, Marino_Biliškov
60406, Miloš_Milutinović
89421, Nenad_Pralija
90576, Nino_Zec
13270, OFK_Beograd
37696, RNK_Split
14846, Sergije_Krešić
101422, Slobodan_Krčmarević
45950, Tihomir_Bulat
src, edge_attr, dst
115338, isAffiliatedTo, 107461
115338, isAffiliatedTo, 13270
115338, playsFor, 107461
115338, playsFor, 13270
87595, isAffiliatedTo, 107461
87595, isAffiliatedTo, 13270
87595, playsFor, 107461
87595, playsFor, 13270
47852, isAffiliatedTo, 4681
47852, isAffiliatedTo, 37696
47852, playsFor, 4681
106861, isAffiliatedTo, 4681
106861, isAffiliatedTo, 37696
106861, playsFor, 4681
106861, playsFor, 37696
38058, isAffiliatedTo, 4681
38058, isAffiliatedTo, 37696
38058, playsFor, 4681
38058, playsFor, 37696
60406, isAffiliatedTo, 107461
60406, isAffiliatedTo, 13270
60406, playsFor, 107461
60406, playsFor, 13270
89421, isAffiliatedTo, 4681
89421, isAffiliatedTo, 37696
89421, playsFor, 4681
89421, playsFor, 37696
90576, isAffiliatedTo, 55848
90576, isAffiliatedTo, 13270
90576, playsFor, 55848
90576, playsFor, 13270
14846, isAffiliatedTo, 107461
14846, isAffiliatedTo, 55848
14846, isAffiliatedTo, 13270
14846, isAffiliatedTo, 37696
14846, playsFor, 107461
14846, playsFor, 55848
14846, playsFor, 13270
14846, playsFor, 37696
101422, isAffiliatedTo, 107461
101422, isAffiliatedTo, 13270
101422, playsFor, 107461
101422, playsFor, 13270
45950, isAffiliatedTo, 4681
45950, isAffiliatedTo, 37696
45950, playsFor, 4681
45950, playsFor, 37696
Question: In what context are Ivica_Pirić and OFK_Beograd connected?
Your output must be ONLY the PATH block.
| graph_path | {
"style": "rule"
} | {
"entities": [
"Ivica_Pirić",
"OFK_Beograd"
],
"valid_edges": [
[
"Aleksandar_Kristić",
"isAffiliatedTo",
"FK_Bor"
],
[
"Aleksandar_Kristić",
"isAffiliatedTo",
"OFK_Beograd"
],
[
"Aleksandar_Kristić",
"playsFor",
"FK_Bor"
],
[
"Aleksandar_Kristić",
"playsFor",
"OFK_Beograd"
],
[
"Ilija_Mitić",
"isAffiliatedTo",
"FK_Bor"
],
[
"Ilija_Mitić",
"isAffiliatedTo",
"OFK_Beograd"
],
[
"Ilija_Mitić",
"playsFor",
"FK_Bor"
],
[
"Ilija_Mitić",
"playsFor",
"OFK_Beograd"
],
[
"Ivan_Katalinić",
"isAffiliatedTo",
"HNK_Trogir"
],
[
"Ivan_Katalinić",
"isAffiliatedTo",
"RNK_Split"
],
[
"Ivan_Katalinić",
"playsFor",
"HNK_Trogir"
],
[
"Ivica_Pirić",
"isAffiliatedTo",
"HNK_Trogir"
],
[
"Ivica_Pirić",
"isAffiliatedTo",
"RNK_Split"
],
[
"Ivica_Pirić",
"playsFor",
"HNK_Trogir"
],
[
"Ivica_Pirić",
"playsFor",
"RNK_Split"
],
[
"Marino_Biliškov",
"isAffiliatedTo",
"HNK_Trogir"
],
[
"Marino_Biliškov",
"isAffiliatedTo",
"RNK_Split"
],
[
"Marino_Biliškov",
"playsFor",
"HNK_Trogir"
],
[
"Marino_Biliškov",
"playsFor",
"RNK_Split"
],
[
"Miloš_Milutinović",
"isAffiliatedTo",
"FK_Bor"
],
[
"Miloš_Milutinović",
"isAffiliatedTo",
"OFK_Beograd"
],
[
"Miloš_Milutinović",
"playsFor",
"FK_Bor"
],
[
"Miloš_Milutinović",
"playsFor",
"OFK_Beograd"
],
[
"Nenad_Pralija",
"isAffiliatedTo",
"HNK_Trogir"
],
[
"Nenad_Pralija",
"isAffiliatedTo",
"RNK_Split"
],
[
"Nenad_Pralija",
"playsFor",
"HNK_Trogir"
],
[
"Nenad_Pralija",
"playsFor",
"RNK_Split"
],
[
"Nino_Zec",
"isAffiliatedTo",
"Houston_Hurricane"
],
[
"Nino_Zec",
"isAffiliatedTo",
"OFK_Beograd"
],
[
"Nino_Zec",
"playsFor",
"Houston_Hurricane"
],
[
"Nino_Zec",
"playsFor",
"OFK_Beograd"
],
[
"Sergije_Krešić",
"isAffiliatedTo",
"FK_Bor"
],
[
"Sergije_Krešić",
"isAffiliatedTo",
"Houston_Hurricane"
],
[
"Sergije_Krešić",
"isAffiliatedTo",
"OFK_Beograd"
],
[
"Sergije_Krešić",
"isAffiliatedTo",
"RNK_Split"
],
[
"Sergije_Krešić",
"playsFor",
"FK_Bor"
],
[
"Sergije_Krešić",
"playsFor",
"Houston_Hurricane"
],
[
"Sergije_Krešić",
"playsFor",
"OFK_Beograd"
],
[
"Sergije_Krešić",
"playsFor",
"RNK_Split"
],
[
"Slobodan_Krčmarević",
"isAffiliatedTo",
"FK_Bor"
],
[
"Slobodan_Krčmarević",
"isAffiliatedTo",
"OFK_Beograd"
],
[
"Slobodan_Krčmarević",
"playsFor",
"FK_Bor"
],
[
"Slobodan_Krčmarević",
"playsFor",
"OFK_Beograd"
],
[
"Tihomir_Bulat",
"isAffiliatedTo",
"HNK_Trogir"
],
[
"Tihomir_Bulat",
"isAffiliatedTo",
"RNK_Split"
],
[
"Tihomir_Bulat",
"playsFor",
"HNK_Trogir"
],
[
"Tihomir_Bulat",
"playsFor",
"RNK_Split"
]
],
"ground_truth": [],
"gt_cost": null
} |
YAGO |
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
16991, Belgium
26465, Christian_Mikolajczak
29052, Cătălin_Răcănel
12336, Denis_Omerbegović
21649, Ems_(river)
111744, Europe
61995, Germany
32067, Grover_Gibson
82332, International_Security_Assistance_Force
101146, Jan_Velkoborský
9568, Marcus_Feinbier
47116, Michael_Zepek
97313, Netherlands
36464, North_Rhine-Westphalia
92627, Rhine
91194, Rot_Weiss_Ahlen
97307, SV_Elversberg
32292, Saarland
src, edge_attr, dst
16991, dealsWith, 61995
16991, dealsWith, 97313
16991, hasNeighbor, 61995
26465, isAffiliatedTo, 91194
26465, isAffiliatedTo, 97307
26465, playsFor, 91194
26465, playsFor, 97307
29052, isAffiliatedTo, 91194
29052, isAffiliatedTo, 97307
29052, playsFor, 91194
29052, playsFor, 97307
12336, isAffiliatedTo, 91194
12336, isAffiliatedTo, 97307
12336, playsFor, 91194
12336, playsFor, 97307
21649, isLocatedIn, 61995
21649, isLocatedIn, 97313
61995, dealsWith, 16991
61995, dealsWith, 97313
61995, hasNeighbor, 16991
61995, isLocatedIn, 111744
32067, isAffiliatedTo, 91194
32067, isAffiliatedTo, 97307
32067, playsFor, 91194
32067, playsFor, 97307
82332, isLocatedIn, 61995
82332, isLocatedIn, 97313
101146, isAffiliatedTo, 91194
101146, isAffiliatedTo, 97307
101146, playsFor, 91194
101146, playsFor, 97307
9568, isAffiliatedTo, 91194
9568, isAffiliatedTo, 97307
9568, playsFor, 91194
9568, playsFor, 97307
47116, isAffiliatedTo, 91194
47116, isAffiliatedTo, 97307
47116, playsFor, 91194
47116, playsFor, 97307
97313, dealsWith, 16991
97313, dealsWith, 61995
97313, isLocatedIn, 111744
36464, isLocatedIn, 61995
92627, isLocatedIn, 61995
92627, isLocatedIn, 97313
91194, isLocatedIn, 36464
97307, isLocatedIn, 32292
32292, isLocatedIn, 61995
Question: For what reason are International_Security_Assistance_Force and Jan_Velkoborský associated?
Your output must be ONLY the PATH block.
| graph_path | {
"style": "rule"
} | {
"entities": [
"International_Security_Assistance_Force",
"Jan_Velkoborský"
],
"valid_edges": [
[
"Belgium",
"dealsWith",
"Germany"
],
[
"Belgium",
"dealsWith",
"Netherlands"
],
[
"Belgium",
"hasNeighbor",
"Germany"
],
[
"Christian_Mikolajczak",
"isAffiliatedTo",
"Rot_Weiss_Ahlen"
],
[
"Christian_Mikolajczak",
"isAffiliatedTo",
"SV_Elversberg"
],
[
"Christian_Mikolajczak",
"playsFor",
"Rot_Weiss_Ahlen"
],
[
"Christian_Mikolajczak",
"playsFor",
"SV_Elversberg"
],
[
"Cătălin_Răcănel",
"isAffiliatedTo",
"Rot_Weiss_Ahlen"
],
[
"Cătălin_Răcănel",
"isAffiliatedTo",
"SV_Elversberg"
],
[
"Cătălin_Răcănel",
"playsFor",
"Rot_Weiss_Ahlen"
],
[
"Cătălin_Răcănel",
"playsFor",
"SV_Elversberg"
],
[
"Denis_Omerbegović",
"isAffiliatedTo",
"Rot_Weiss_Ahlen"
],
[
"Denis_Omerbegović",
"isAffiliatedTo",
"SV_Elversberg"
],
[
"Denis_Omerbegović",
"playsFor",
"Rot_Weiss_Ahlen"
],
[
"Denis_Omerbegović",
"playsFor",
"SV_Elversberg"
],
[
"Ems_(river)",
"isLocatedIn",
"Germany"
],
[
"Ems_(river)",
"isLocatedIn",
"Netherlands"
],
[
"Germany",
"dealsWith",
"Belgium"
],
[
"Germany",
"dealsWith",
"Netherlands"
],
[
"Germany",
"hasNeighbor",
"Belgium"
],
[
"Germany",
"isLocatedIn",
"Europe"
],
[
"Grover_Gibson",
"isAffiliatedTo",
"Rot_Weiss_Ahlen"
],
[
"Grover_Gibson",
"isAffiliatedTo",
"SV_Elversberg"
],
[
"Grover_Gibson",
"playsFor",
"Rot_Weiss_Ahlen"
],
[
"Grover_Gibson",
"playsFor",
"SV_Elversberg"
],
[
"International_Security_Assistance_Force",
"isLocatedIn",
"Germany"
],
[
"International_Security_Assistance_Force",
"isLocatedIn",
"Netherlands"
],
[
"Jan_Velkoborský",
"isAffiliatedTo",
"Rot_Weiss_Ahlen"
],
[
"Jan_Velkoborský",
"isAffiliatedTo",
"SV_Elversberg"
],
[
"Jan_Velkoborský",
"playsFor",
"Rot_Weiss_Ahlen"
],
[
"Jan_Velkoborský",
"playsFor",
"SV_Elversberg"
],
[
"Marcus_Feinbier",
"isAffiliatedTo",
"Rot_Weiss_Ahlen"
],
[
"Marcus_Feinbier",
"isAffiliatedTo",
"SV_Elversberg"
],
[
"Marcus_Feinbier",
"playsFor",
"Rot_Weiss_Ahlen"
],
[
"Marcus_Feinbier",
"playsFor",
"SV_Elversberg"
],
[
"Michael_Zepek",
"isAffiliatedTo",
"Rot_Weiss_Ahlen"
],
[
"Michael_Zepek",
"isAffiliatedTo",
"SV_Elversberg"
],
[
"Michael_Zepek",
"playsFor",
"Rot_Weiss_Ahlen"
],
[
"Michael_Zepek",
"playsFor",
"SV_Elversberg"
],
[
"Netherlands",
"dealsWith",
"Belgium"
],
[
"Netherlands",
"dealsWith",
"Germany"
],
[
"Netherlands",
"isLocatedIn",
"Europe"
],
[
"North_Rhine-Westphalia",
"isLocatedIn",
"Germany"
],
[
"Rhine",
"isLocatedIn",
"Germany"
],
[
"Rhine",
"isLocatedIn",
"Netherlands"
],
[
"Rot_Weiss_Ahlen",
"isLocatedIn",
"North_Rhine-Westphalia"
],
[
"SV_Elversberg",
"isLocatedIn",
"Saarland"
],
[
"Saarland",
"isLocatedIn",
"Germany"
]
],
"ground_truth": [],
"gt_cost": null
} |
YAGO |
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
114746, Airdrie,_Alberta
65550, Allied_intervention_in_the_Russian_Civil_War
61552, Allied_invasion_of_Sicily
95802, Australia
120264, Battle_of_Amiens_(1918)
56615, Battle_of_Baku
105349, Battle_of_Britain
95967, Battle_of_Kapyong
38783, Battle_of_Messines_(1917)
39491, Battle_of_Monte_Cassino
30536, Battle_of_Passchendaele
83578, Battle_of_Pusan_Perimeter
23888, Battle_of_the_Imjin_River
93082, Battle_of_the_Lys_(1918)
16667, Battle_of_the_Mediterranean
122250, Battle_of_the_Somme
69174, Black_Friday_(1945)
118718, Black_Robe_(film)
108086, Canada
45917, Caucasus_Campaign
45863, China
72048, Combat_18
119948, Defence_of_the_Reich
75304, Driven
43235, Elizabeth_II
114604, European_theatre_of_World_War_II
67750, Eye_of_the_Beholder_(film)
80591, Great_War_(Harry_Turtledove)
61715, Hundred_Days_Offensive
73650, Invasion_of_Normandy
7217, Inverell
122023, Italian_Campaign_(World_War_II)
53890, Jacobite_Syrian_Christian_Church
76792, Japan
57645, Korean_War
51681, Little_Vietnam
113986, Middle_Eastern_theatre_of_World_War_I
32819, Normandy_landings
92528, North_African_Campaign
2447, Operation_Anaconda
105773, Operation_Desert_Thunder
87961, Operation_Eagle's_Summit
122711, Operation_Enduring_Freedom
59704, Operation_Enduring_Freedom_–_Horn_of_Africa
86019, Operation_Overlord
50917, Operation_Ripper
95238, Operation_Torch
76042, Pacific_War
13141, Pirzada
82909, RGIS_Inventory_Specialists
60865, Second_Boer_War
24728, Siege_of_Malta_(World_War_II)
82590, South_Korea
62133, Supreme_Headquarters_Allied_Expeditionary_Force
108918, Sydney
37166, Unified_Task_Force
116232, War_in_Afghanistan_(2001–present)
75056, War_on_Terror
61480, Western_Front_(World_War_I)
43161, Western_Front_(World_War_II)
src, edge_attr, dst
114746, isLocatedIn, 108086
61552, happenedIn, 108086
95802, dealsWith, 45863
95802, dealsWith, 76792
95802, dealsWith, 82590
95802, hasCapital, 108918
95802, participatedIn, 65550
95802, participatedIn, 61552
95802, participatedIn, 120264
95802, participatedIn, 56615
95802, participatedIn, 105349
95802, participatedIn, 95967
95802, participatedIn, 38783
95802, participatedIn, 39491
95802, participatedIn, 30536
95802, participatedIn, 83578
95802, participatedIn, 23888
95802, participatedIn, 16667
95802, participatedIn, 122250
95802, participatedIn, 69174
95802, participatedIn, 45917
95802, participatedIn, 119948
95802, participatedIn, 114604
95802, participatedIn, 80591
95802, participatedIn, 61715
95802, participatedIn, 73650
95802, participatedIn, 122023
95802, participatedIn, 57645
95802, participatedIn, 113986
95802, participatedIn, 32819
95802, participatedIn, 92528
95802, participatedIn, 2447
95802, participatedIn, 105773
95802, participatedIn, 87961
95802, participatedIn, 122711
95802, participatedIn, 59704
95802, participatedIn, 86019
95802, participatedIn, 50917
95802, participatedIn, 95238
95802, participatedIn, 76042
95802, participatedIn, 60865
95802, participatedIn, 24728
95802, participatedIn, 37166
95802, participatedIn, 116232
95802, participatedIn, 75056
95802, participatedIn, 61480
95802, participatedIn, 43161
39491, happenedIn, 108086
30536, happenedIn, 95802
30536, happenedIn, 108086
93082, happenedIn, 95802
69174, happenedIn, 95802
69174, happenedIn, 108086
118718, isLocatedIn, 95802
118718, isLocatedIn, 108086
108086, dealsWith, 45863
108086, dealsWith, 76792
108086, dealsWith, 82590
108086, participatedIn, 65550
108086, participatedIn, 61552
108086, participatedIn, 120264
108086, participatedIn, 56615
108086, participatedIn, 105349
108086, participatedIn, 95967
108086, participatedIn, 38783
108086, participatedIn, 30536
108086, participatedIn, 83578
108086, participatedIn, 23888
108086, participatedIn, 93082
108086, participatedIn, 16667
108086, participatedIn, 122250
108086, participatedIn, 69174
108086, participatedIn, 45917
108086, participatedIn, 119948
108086, participatedIn, 114604
108086, participatedIn, 80591
108086, participatedIn, 61715
108086, participatedIn, 73650
108086, participatedIn, 122023
108086, participatedIn, 57645
108086, participatedIn, 113986
108086, participatedIn, 32819
108086, participatedIn, 92528
108086, participatedIn, 2447
108086, participatedIn, 105773
108086, participatedIn, 87961
108086, participatedIn, 122711
108086, participatedIn, 59704
108086, participatedIn, 86019
108086, participatedIn, 50917
108086, participatedIn, 95238
108086, participatedIn, 60865
108086, participatedIn, 24728
108086, participatedIn, 37166
108086, participatedIn, 116232
108086, participatedIn, 75056
108086, participatedIn, 61480
108086, participatedIn, 43161
45863, dealsWith, 95802
72048, isLocatedIn, 95802
72048, isLocatedIn, 108086
75304, isLocatedIn, 95802
75304, isLocatedIn, 108086
43235, isLeaderOf, 95802
43235, isLeaderOf, 108086
67750, isLocatedIn, 95802
67750, isLocatedIn, 108086
7217, isLocatedIn, 95802
7217, isLocatedIn, 108918
122023, happenedIn, 95802
122023, happenedIn, 108086
53890, isLocatedIn, 95802
53890, isLocatedIn, 108086
76792, dealsWith, 95802
57645, happenedIn, 108086
51681, isLocatedIn, 95802
51681, isLocatedIn, 108086
92528, happenedIn, 95802
92528, happenedIn, 108086
76042, happenedIn, 95802
76042, happenedIn, 108086
13141, isLocatedIn, 95802
13141, isLocatedIn, 108086
82909, isLocatedIn, 95802
82909, isLocatedIn, 108086
60865, happenedIn, 95802
60865, happenedIn, 108086
82590, dealsWith, 95802
62133, isLocatedIn, 95802
62133, isLocatedIn, 108086
108918, isLocatedIn, 95802
116232, happenedIn, 95802
116232, happenedIn, 108086
61480, happenedIn, 95802
61480, happenedIn, 108086
Question: In what context are Airdrie,_Alberta and Inverell connected?
Your output must be ONLY the PATH block.
| graph_path | {
"style": "rule"
} | {
"entities": [
"Airdrie,_Alberta",
"Inverell"
],
"valid_edges": [
[
"Airdrie,_Alberta",
"isLocatedIn",
"Canada"
],
[
"Allied_invasion_of_Sicily",
"happenedIn",
"Canada"
],
[
"Australia",
"dealsWith",
"China"
],
[
"Australia",
"dealsWith",
"Japan"
],
[
"Australia",
"dealsWith",
"South_Korea"
],
[
"Australia",
"hasCapital",
"Sydney"
],
[
"Australia",
"participatedIn",
"Allied_intervention_in_the_Russian_Civil_War"
],
[
"Australia",
"participatedIn",
"Allied_invasion_of_Sicily"
],
[
"Australia",
"participatedIn",
"Battle_of_Amiens_(1918)"
],
[
"Australia",
"participatedIn",
"Battle_of_Baku"
],
[
"Australia",
"participatedIn",
"Battle_of_Britain"
],
[
"Australia",
"participatedIn",
"Battle_of_Kapyong"
],
[
"Australia",
"participatedIn",
"Battle_of_Messines_(1917)"
],
[
"Australia",
"participatedIn",
"Battle_of_Monte_Cassino"
],
[
"Australia",
"participatedIn",
"Battle_of_Passchendaele"
],
[
"Australia",
"participatedIn",
"Battle_of_Pusan_Perimeter"
],
[
"Australia",
"participatedIn",
"Battle_of_the_Imjin_River"
],
[
"Australia",
"participatedIn",
"Battle_of_the_Mediterranean"
],
[
"Australia",
"participatedIn",
"Battle_of_the_Somme"
],
[
"Australia",
"participatedIn",
"Black_Friday_(1945)"
],
[
"Australia",
"participatedIn",
"Caucasus_Campaign"
],
[
"Australia",
"participatedIn",
"Defence_of_the_Reich"
],
[
"Australia",
"participatedIn",
"European_theatre_of_World_War_II"
],
[
"Australia",
"participatedIn",
"Great_War_(Harry_Turtledove)"
],
[
"Australia",
"participatedIn",
"Hundred_Days_Offensive"
],
[
"Australia",
"participatedIn",
"Invasion_of_Normandy"
],
[
"Australia",
"participatedIn",
"Italian_Campaign_(World_War_II)"
],
[
"Australia",
"participatedIn",
"Korean_War"
],
[
"Australia",
"participatedIn",
"Middle_Eastern_theatre_of_World_War_I"
],
[
"Australia",
"participatedIn",
"Normandy_landings"
],
[
"Australia",
"participatedIn",
"North_African_Campaign"
],
[
"Australia",
"participatedIn",
"Operation_Anaconda"
],
[
"Australia",
"participatedIn",
"Operation_Desert_Thunder"
],
[
"Australia",
"participatedIn",
"Operation_Eagle's_Summit"
],
[
"Australia",
"participatedIn",
"Operation_Enduring_Freedom"
],
[
"Australia",
"participatedIn",
"Operation_Enduring_Freedom_–_Horn_of_Africa"
],
[
"Australia",
"participatedIn",
"Operation_Overlord"
],
[
"Australia",
"participatedIn",
"Operation_Ripper"
],
[
"Australia",
"participatedIn",
"Operation_Torch"
],
[
"Australia",
"participatedIn",
"Pacific_War"
],
[
"Australia",
"participatedIn",
"Second_Boer_War"
],
[
"Australia",
"participatedIn",
"Siege_of_Malta_(World_War_II)"
],
[
"Australia",
"participatedIn",
"Unified_Task_Force"
],
[
"Australia",
"participatedIn",
"War_in_Afghanistan_(2001–present)"
],
[
"Australia",
"participatedIn",
"War_on_Terror"
],
[
"Australia",
"participatedIn",
"Western_Front_(World_War_I)"
],
[
"Australia",
"participatedIn",
"Western_Front_(World_War_II)"
],
[
"Battle_of_Monte_Cassino",
"happenedIn",
"Canada"
],
[
"Battle_of_Passchendaele",
"happenedIn",
"Australia"
],
[
"Battle_of_Passchendaele",
"happenedIn",
"Canada"
],
[
"Battle_of_the_Lys_(1918)",
"happenedIn",
"Australia"
],
[
"Black_Friday_(1945)",
"happenedIn",
"Australia"
],
[
"Black_Friday_(1945)",
"happenedIn",
"Canada"
],
[
"Black_Robe_(film)",
"isLocatedIn",
"Australia"
],
[
"Black_Robe_(film)",
"isLocatedIn",
"Canada"
],
[
"Canada",
"dealsWith",
"China"
],
[
"Canada",
"dealsWith",
"Japan"
],
[
"Canada",
"dealsWith",
"South_Korea"
],
[
"Canada",
"participatedIn",
"Allied_intervention_in_the_Russian_Civil_War"
],
[
"Canada",
"participatedIn",
"Allied_invasion_of_Sicily"
],
[
"Canada",
"participatedIn",
"Battle_of_Amiens_(1918)"
],
[
"Canada",
"participatedIn",
"Battle_of_Baku"
],
[
"Canada",
"participatedIn",
"Battle_of_Britain"
],
[
"Canada",
"participatedIn",
"Battle_of_Kapyong"
],
[
"Canada",
"participatedIn",
"Battle_of_Messines_(1917)"
],
[
"Canada",
"participatedIn",
"Battle_of_Passchendaele"
],
[
"Canada",
"participatedIn",
"Battle_of_Pusan_Perimeter"
],
[
"Canada",
"participatedIn",
"Battle_of_the_Imjin_River"
],
[
"Canada",
"participatedIn",
"Battle_of_the_Lys_(1918)"
],
[
"Canada",
"participatedIn",
"Battle_of_the_Mediterranean"
],
[
"Canada",
"participatedIn",
"Battle_of_the_Somme"
],
[
"Canada",
"participatedIn",
"Black_Friday_(1945)"
],
[
"Canada",
"participatedIn",
"Caucasus_Campaign"
],
[
"Canada",
"participatedIn",
"Defence_of_the_Reich"
],
[
"Canada",
"participatedIn",
"European_theatre_of_World_War_II"
],
[
"Canada",
"participatedIn",
"Great_War_(Harry_Turtledove)"
],
[
"Canada",
"participatedIn",
"Hundred_Days_Offensive"
],
[
"Canada",
"participatedIn",
"Invasion_of_Normandy"
],
[
"Canada",
"participatedIn",
"Italian_Campaign_(World_War_II)"
],
[
"Canada",
"participatedIn",
"Korean_War"
],
[
"Canada",
"participatedIn",
"Middle_Eastern_theatre_of_World_War_I"
],
[
"Canada",
"participatedIn",
"Normandy_landings"
],
[
"Canada",
"participatedIn",
"North_African_Campaign"
],
[
"Canada",
"participatedIn",
"Operation_Anaconda"
],
[
"Canada",
"participatedIn",
"Operation_Desert_Thunder"
],
[
"Canada",
"participatedIn",
"Operation_Eagle's_Summit"
],
[
"Canada",
"participatedIn",
"Operation_Enduring_Freedom"
],
[
"Canada",
"participatedIn",
"Operation_Enduring_Freedom_–_Horn_of_Africa"
],
[
"Canada",
"participatedIn",
"Operation_Overlord"
],
[
"Canada",
"participatedIn",
"Operation_Ripper"
],
[
"Canada",
"participatedIn",
"Operation_Torch"
],
[
"Canada",
"participatedIn",
"Second_Boer_War"
],
[
"Canada",
"participatedIn",
"Siege_of_Malta_(World_War_II)"
],
[
"Canada",
"participatedIn",
"Unified_Task_Force"
],
[
"Canada",
"participatedIn",
"War_in_Afghanistan_(2001–present)"
],
[
"Canada",
"participatedIn",
"War_on_Terror"
],
[
"Canada",
"participatedIn",
"Western_Front_(World_War_I)"
],
[
"Canada",
"participatedIn",
"Western_Front_(World_War_II)"
],
[
"China",
"dealsWith",
"Australia"
],
[
"Combat_18",
"isLocatedIn",
"Australia"
],
[
"Combat_18",
"isLocatedIn",
"Canada"
],
[
"Driven",
"isLocatedIn",
"Australia"
],
[
"Driven",
"isLocatedIn",
"Canada"
],
[
"Elizabeth_II",
"isLeaderOf",
"Australia"
],
[
"Elizabeth_II",
"isLeaderOf",
"Canada"
],
[
"Eye_of_the_Beholder_(film)",
"isLocatedIn",
"Australia"
],
[
"Eye_of_the_Beholder_(film)",
"isLocatedIn",
"Canada"
],
[
"Inverell",
"isLocatedIn",
"Australia"
],
[
"Inverell",
"isLocatedIn",
"Sydney"
],
[
"Italian_Campaign_(World_War_II)",
"happenedIn",
"Australia"
],
[
"Italian_Campaign_(World_War_II)",
"happenedIn",
"Canada"
],
[
"Jacobite_Syrian_Christian_Church",
"isLocatedIn",
"Australia"
],
[
"Jacobite_Syrian_Christian_Church",
"isLocatedIn",
"Canada"
],
[
"Japan",
"dealsWith",
"Australia"
],
[
"Korean_War",
"happenedIn",
"Canada"
],
[
"Little_Vietnam",
"isLocatedIn",
"Australia"
],
[
"Little_Vietnam",
"isLocatedIn",
"Canada"
],
[
"North_African_Campaign",
"happenedIn",
"Australia"
],
[
"North_African_Campaign",
"happenedIn",
"Canada"
],
[
"Pacific_War",
"happenedIn",
"Australia"
],
[
"Pacific_War",
"happenedIn",
"Canada"
],
[
"Pirzada",
"isLocatedIn",
"Australia"
],
[
"Pirzada",
"isLocatedIn",
"Canada"
],
[
"RGIS_Inventory_Specialists",
"isLocatedIn",
"Australia"
],
[
"RGIS_Inventory_Specialists",
"isLocatedIn",
"Canada"
],
[
"Second_Boer_War",
"happenedIn",
"Australia"
],
[
"Second_Boer_War",
"happenedIn",
"Canada"
],
[
"South_Korea",
"dealsWith",
"Australia"
],
[
"Supreme_Headquarters_Allied_Expeditionary_Force",
"isLocatedIn",
"Australia"
],
[
"Supreme_Headquarters_Allied_Expeditionary_Force",
"isLocatedIn",
"Canada"
],
[
"Sydney",
"isLocatedIn",
"Australia"
],
[
"War_in_Afghanistan_(2001–present)",
"happenedIn",
"Australia"
],
[
"War_in_Afghanistan_(2001–present)",
"happenedIn",
"Canada"
],
[
"Western_Front_(World_War_I)",
"happenedIn",
"Australia"
],
[
"Western_Front_(World_War_I)",
"happenedIn",
"Canada"
]
],
"ground_truth": [],
"gt_cost": null
} |
YAGO |
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
98560, Boysetsfire
40399, Jan_Åge_Fjørtoft
118104, male
src, edge_attr, dst
98560, hasGender, 118104
40399, hasGender, 118104
Question: How are Boysetsfire and Jan_Åge_Fjørtoft related?
Your output must be ONLY the PATH block.
| graph_path | {
"style": "rule"
} | {
"entities": [
"Boysetsfire",
"Jan_Åge_Fjørtoft"
],
"valid_edges": [
[
"Boysetsfire",
"hasGender",
"male"
],
[
"Jan_Åge_Fjørtoft",
"hasGender",
"male"
]
],
"ground_truth": [],
"gt_cost": null
} |
YAGO |
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
35692, Alianza_F.C.
78687, El_Salvador
80841, Isidro_Gutiérrez
38865, San_Salvador
42921, Usulután_Department
src, edge_attr, dst
35692, isLocatedIn, 38865
80841, playsFor, 35692
38865, isLocatedIn, 78687
42921, isLocatedIn, 78687
Question: In what context are Isidro_Gutiérrez and Usulután_Department connected?
Your output must be ONLY the PATH block.
| graph_path | {
"style": "rule"
} | {
"entities": [
"Isidro_Gutiérrez",
"Usulután_Department"
],
"valid_edges": [
[
"Alianza_F.C.",
"isLocatedIn",
"San_Salvador"
],
[
"Isidro_Gutiérrez",
"playsFor",
"Alianza_F.C."
],
[
"San_Salvador",
"isLocatedIn",
"El_Salvador"
],
[
"Usulután_Department",
"isLocatedIn",
"El_Salvador"
]
],
"ground_truth": [],
"gt_cost": null
} |
YAGO |
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
56444, Abraham_Wald
47764, Alfréd_Rényi
65070, Béla_Kun
17760, Cegléd
368, David_Buchanan
25641, E._Andrew_Balas
41369, Eugene_Wigner
62725, Ferenc_Gyurcsány
40412, Ferenc_Mádl
59936, Ferenc_Münnich
64242, Gordon_Bajnai
79278, Gyula_Andrássy
78695, Gyula_Gömbös
47853, Gyula_Kőnig
28414, György_Lukács
48909, Hungary
1332, Imre_Nagy
48121, Johann_Andreas_Segner
50630, János_Kádár
77486, János_Áder
26834, Leó_Szilárd
90112, Lipót_Fejér
2843, László_Kövér
122246, László_Lovász
60326, László_Sólyom
1978, Miklós_Horthy
22519, Mátyás_Rákosi
67382, Paul_Erdős
2999, Pál_Schmitt
72361, Pál_Turán
52814, Péter_Medgyessy
46137, Rudolf_E._Kálmán
110344, Stephen_Kuffler
47321, Sándor_Wekerle
35525, Theodore_von_Kármán
99297, Viktor_Orbán
118104, male
59984, Árpád_Göncz
src, edge_attr, dst
56444, hasGender, 118104
56444, isCitizenOf, 48909
47764, hasGender, 118104
47764, isCitizenOf, 48909
65070, hasGender, 118104
65070, isPoliticianOf, 48909
17760, isLocatedIn, 48909
368, hasGender, 118104
25641, hasGender, 118104
25641, isCitizenOf, 48909
41369, hasGender, 118104
41369, isCitizenOf, 48909
62725, hasGender, 118104
62725, isPoliticianOf, 48909
40412, hasGender, 118104
40412, isPoliticianOf, 48909
59936, hasGender, 118104
59936, isCitizenOf, 48909
59936, isPoliticianOf, 48909
64242, hasGender, 118104
64242, isPoliticianOf, 48909
79278, hasGender, 118104
79278, isCitizenOf, 48909
79278, isPoliticianOf, 48909
78695, hasGender, 118104
78695, isPoliticianOf, 48909
47853, hasGender, 118104
47853, isCitizenOf, 48909
28414, hasGender, 118104
28414, isPoliticianOf, 48909
1332, hasGender, 118104
1332, isCitizenOf, 48909
1332, isPoliticianOf, 48909
48121, hasGender, 118104
48121, isCitizenOf, 48909
50630, hasGender, 118104
50630, isCitizenOf, 48909
50630, isPoliticianOf, 48909
77486, hasGender, 118104
77486, isLeaderOf, 48909
77486, isPoliticianOf, 48909
26834, hasGender, 118104
26834, isCitizenOf, 48909
90112, hasGender, 118104
90112, isCitizenOf, 48909
90112, livesIn, 48909
2843, hasGender, 118104
2843, isLeaderOf, 48909
2843, isPoliticianOf, 48909
122246, hasGender, 118104
122246, isCitizenOf, 48909
60326, hasGender, 118104
60326, isPoliticianOf, 48909
1978, hasGender, 118104
1978, isPoliticianOf, 48909
22519, hasGender, 118104
22519, isCitizenOf, 48909
22519, isPoliticianOf, 48909
67382, hasGender, 118104
67382, isCitizenOf, 48909
67382, livesIn, 48909
2999, hasGender, 118104
2999, isPoliticianOf, 48909
72361, hasGender, 118104
72361, isCitizenOf, 48909
72361, livesIn, 48909
52814, hasGender, 118104
52814, isPoliticianOf, 48909
46137, hasGender, 118104
46137, isCitizenOf, 48909
110344, hasGender, 118104
110344, isCitizenOf, 48909
110344, livesIn, 48909
47321, hasGender, 118104
47321, isCitizenOf, 48909
47321, isPoliticianOf, 48909
35525, hasGender, 118104
35525, isCitizenOf, 48909
35525, livesIn, 48909
99297, hasGender, 118104
99297, isLeaderOf, 48909
99297, isPoliticianOf, 48909
59984, hasGender, 118104
59984, isPoliticianOf, 48909
Question: For what reason are Cegléd and David_Buchanan associated?
Your output must be ONLY the PATH block.
| graph_path | {
"style": "rule"
} | {
"entities": [
"Cegléd",
"David_Buchanan"
],
"valid_edges": [
[
"Abraham_Wald",
"hasGender",
"male"
],
[
"Abraham_Wald",
"isCitizenOf",
"Hungary"
],
[
"Alfréd_Rényi",
"hasGender",
"male"
],
[
"Alfréd_Rényi",
"isCitizenOf",
"Hungary"
],
[
"Béla_Kun",
"hasGender",
"male"
],
[
"Béla_Kun",
"isPoliticianOf",
"Hungary"
],
[
"Cegléd",
"isLocatedIn",
"Hungary"
],
[
"David_Buchanan",
"hasGender",
"male"
],
[
"E._Andrew_Balas",
"hasGender",
"male"
],
[
"E._Andrew_Balas",
"isCitizenOf",
"Hungary"
],
[
"Eugene_Wigner",
"hasGender",
"male"
],
[
"Eugene_Wigner",
"isCitizenOf",
"Hungary"
],
[
"Ferenc_Gyurcsány",
"hasGender",
"male"
],
[
"Ferenc_Gyurcsány",
"isPoliticianOf",
"Hungary"
],
[
"Ferenc_Mádl",
"hasGender",
"male"
],
[
"Ferenc_Mádl",
"isPoliticianOf",
"Hungary"
],
[
"Ferenc_Münnich",
"hasGender",
"male"
],
[
"Ferenc_Münnich",
"isCitizenOf",
"Hungary"
],
[
"Ferenc_Münnich",
"isPoliticianOf",
"Hungary"
],
[
"Gordon_Bajnai",
"hasGender",
"male"
],
[
"Gordon_Bajnai",
"isPoliticianOf",
"Hungary"
],
[
"Gyula_Andrássy",
"hasGender",
"male"
],
[
"Gyula_Andrássy",
"isCitizenOf",
"Hungary"
],
[
"Gyula_Andrássy",
"isPoliticianOf",
"Hungary"
],
[
"Gyula_Gömbös",
"hasGender",
"male"
],
[
"Gyula_Gömbös",
"isPoliticianOf",
"Hungary"
],
[
"Gyula_Kőnig",
"hasGender",
"male"
],
[
"Gyula_Kőnig",
"isCitizenOf",
"Hungary"
],
[
"György_Lukács",
"hasGender",
"male"
],
[
"György_Lukács",
"isPoliticianOf",
"Hungary"
],
[
"Imre_Nagy",
"hasGender",
"male"
],
[
"Imre_Nagy",
"isCitizenOf",
"Hungary"
],
[
"Imre_Nagy",
"isPoliticianOf",
"Hungary"
],
[
"Johann_Andreas_Segner",
"hasGender",
"male"
],
[
"Johann_Andreas_Segner",
"isCitizenOf",
"Hungary"
],
[
"János_Kádár",
"hasGender",
"male"
],
[
"János_Kádár",
"isCitizenOf",
"Hungary"
],
[
"János_Kádár",
"isPoliticianOf",
"Hungary"
],
[
"János_Áder",
"hasGender",
"male"
],
[
"János_Áder",
"isLeaderOf",
"Hungary"
],
[
"János_Áder",
"isPoliticianOf",
"Hungary"
],
[
"Leó_Szilárd",
"hasGender",
"male"
],
[
"Leó_Szilárd",
"isCitizenOf",
"Hungary"
],
[
"Lipót_Fejér",
"hasGender",
"male"
],
[
"Lipót_Fejér",
"isCitizenOf",
"Hungary"
],
[
"Lipót_Fejér",
"livesIn",
"Hungary"
],
[
"László_Kövér",
"hasGender",
"male"
],
[
"László_Kövér",
"isLeaderOf",
"Hungary"
],
[
"László_Kövér",
"isPoliticianOf",
"Hungary"
],
[
"László_Lovász",
"hasGender",
"male"
],
[
"László_Lovász",
"isCitizenOf",
"Hungary"
],
[
"László_Sólyom",
"hasGender",
"male"
],
[
"László_Sólyom",
"isPoliticianOf",
"Hungary"
],
[
"Miklós_Horthy",
"hasGender",
"male"
],
[
"Miklós_Horthy",
"isPoliticianOf",
"Hungary"
],
[
"Mátyás_Rákosi",
"hasGender",
"male"
],
[
"Mátyás_Rákosi",
"isCitizenOf",
"Hungary"
],
[
"Mátyás_Rákosi",
"isPoliticianOf",
"Hungary"
],
[
"Paul_Erdős",
"hasGender",
"male"
],
[
"Paul_Erdős",
"isCitizenOf",
"Hungary"
],
[
"Paul_Erdős",
"livesIn",
"Hungary"
],
[
"Pál_Schmitt",
"hasGender",
"male"
],
[
"Pál_Schmitt",
"isPoliticianOf",
"Hungary"
],
[
"Pál_Turán",
"hasGender",
"male"
],
[
"Pál_Turán",
"isCitizenOf",
"Hungary"
],
[
"Pál_Turán",
"livesIn",
"Hungary"
],
[
"Péter_Medgyessy",
"hasGender",
"male"
],
[
"Péter_Medgyessy",
"isPoliticianOf",
"Hungary"
],
[
"Rudolf_E._Kálmán",
"hasGender",
"male"
],
[
"Rudolf_E._Kálmán",
"isCitizenOf",
"Hungary"
],
[
"Stephen_Kuffler",
"hasGender",
"male"
],
[
"Stephen_Kuffler",
"isCitizenOf",
"Hungary"
],
[
"Stephen_Kuffler",
"livesIn",
"Hungary"
],
[
"Sándor_Wekerle",
"hasGender",
"male"
],
[
"Sándor_Wekerle",
"isCitizenOf",
"Hungary"
],
[
"Sándor_Wekerle",
"isPoliticianOf",
"Hungary"
],
[
"Theodore_von_Kármán",
"hasGender",
"male"
],
[
"Theodore_von_Kármán",
"isCitizenOf",
"Hungary"
],
[
"Theodore_von_Kármán",
"livesIn",
"Hungary"
],
[
"Viktor_Orbán",
"hasGender",
"male"
],
[
"Viktor_Orbán",
"isLeaderOf",
"Hungary"
],
[
"Viktor_Orbán",
"isPoliticianOf",
"Hungary"
],
[
"Árpád_Göncz",
"hasGender",
"male"
],
[
"Árpád_Göncz",
"isPoliticianOf",
"Hungary"
]
],
"ground_truth": [],
"gt_cost": null
} |
YAGO |
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
18913, Kim_Sang-rok
55864, Park_Jae-hyun
55738, Samut_Songkhram_F.C.
71886, Songwut_Buapetch
36303, Ulsan_Hyundai_Mipo_Dolphin_FC
src, edge_attr, dst
18913, isAffiliatedTo, 36303
18913, playsFor, 36303
55864, isAffiliatedTo, 55738
55864, isAffiliatedTo, 36303
55864, playsFor, 55738
55864, playsFor, 36303
71886, isAffiliatedTo, 55738
71886, playsFor, 55738
Question: In what context are Kim_Sang-rok and Songwut_Buapetch connected?
Your output must be ONLY the PATH block.
| graph_path | {
"style": "rule"
} | {
"entities": [
"Kim_Sang-rok",
"Songwut_Buapetch"
],
"valid_edges": [
[
"Kim_Sang-rok",
"isAffiliatedTo",
"Ulsan_Hyundai_Mipo_Dolphin_FC"
],
[
"Kim_Sang-rok",
"playsFor",
"Ulsan_Hyundai_Mipo_Dolphin_FC"
],
[
"Park_Jae-hyun",
"isAffiliatedTo",
"Samut_Songkhram_F.C."
],
[
"Park_Jae-hyun",
"isAffiliatedTo",
"Ulsan_Hyundai_Mipo_Dolphin_FC"
],
[
"Park_Jae-hyun",
"playsFor",
"Samut_Songkhram_F.C."
],
[
"Park_Jae-hyun",
"playsFor",
"Ulsan_Hyundai_Mipo_Dolphin_FC"
],
[
"Songwut_Buapetch",
"isAffiliatedTo",
"Samut_Songkhram_F.C."
],
[
"Songwut_Buapetch",
"playsFor",
"Samut_Songkhram_F.C."
]
],
"ground_truth": [],
"gt_cost": null
} |
YAGO |
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
57697, Belgaum_district
59879, Bhutan
71269, Burundi
45863, China
107583, Congo_Crisis
89823, India
57645, Korean_War
34479, Seven_Years'_War
119947, Skara
6827, Sweden
75056, War_on_Terror
99322, wordnet_chemical_114806838
9577, wordnet_machinery_103701640
src, edge_attr, dst
57697, isLocatedIn, 89823
59879, dealsWith, 89823
59879, dealsWith, 6827
59879, hasNeighbor, 89823
71269, dealsWith, 89823
71269, dealsWith, 6827
45863, hasNeighbor, 89823
89823, dealsWith, 45863
89823, exports, 99322
89823, exports, 9577
89823, hasNeighbor, 59879
89823, hasNeighbor, 45863
89823, imports, 99322
89823, imports, 9577
89823, participatedIn, 107583
89823, participatedIn, 57645
89823, participatedIn, 75056
34479, happenedIn, 89823
34479, isLocatedIn, 89823
119947, isLocatedIn, 6827
6827, dealsWith, 45863
6827, exports, 99322
6827, exports, 9577
6827, imports, 99322
6827, imports, 9577
6827, participatedIn, 107583
6827, participatedIn, 57645
6827, participatedIn, 34479
6827, participatedIn, 75056
Question: For what reason are Belgaum_district and Skara associated?
Your output must be ONLY the PATH block.
| graph_path | {
"style": "rule"
} | {
"entities": [
"Belgaum_district",
"Skara"
],
"valid_edges": [
[
"Belgaum_district",
"isLocatedIn",
"India"
],
[
"Bhutan",
"dealsWith",
"India"
],
[
"Bhutan",
"dealsWith",
"Sweden"
],
[
"Bhutan",
"hasNeighbor",
"India"
],
[
"Burundi",
"dealsWith",
"India"
],
[
"Burundi",
"dealsWith",
"Sweden"
],
[
"China",
"hasNeighbor",
"India"
],
[
"India",
"dealsWith",
"China"
],
[
"India",
"exports",
"wordnet_chemical_114806838"
],
[
"India",
"exports",
"wordnet_machinery_103701640"
],
[
"India",
"hasNeighbor",
"Bhutan"
],
[
"India",
"hasNeighbor",
"China"
],
[
"India",
"imports",
"wordnet_chemical_114806838"
],
[
"India",
"imports",
"wordnet_machinery_103701640"
],
[
"India",
"participatedIn",
"Congo_Crisis"
],
[
"India",
"participatedIn",
"Korean_War"
],
[
"India",
"participatedIn",
"War_on_Terror"
],
[
"Seven_Years'_War",
"happenedIn",
"India"
],
[
"Seven_Years'_War",
"isLocatedIn",
"India"
],
[
"Skara",
"isLocatedIn",
"Sweden"
],
[
"Sweden",
"dealsWith",
"China"
],
[
"Sweden",
"exports",
"wordnet_chemical_114806838"
],
[
"Sweden",
"exports",
"wordnet_machinery_103701640"
],
[
"Sweden",
"imports",
"wordnet_chemical_114806838"
],
[
"Sweden",
"imports",
"wordnet_machinery_103701640"
],
[
"Sweden",
"participatedIn",
"Congo_Crisis"
],
[
"Sweden",
"participatedIn",
"Korean_War"
],
[
"Sweden",
"participatedIn",
"Seven_Years'_War"
],
[
"Sweden",
"participatedIn",
"War_on_Terror"
]
],
"ground_truth": [],
"gt_cost": null
} |
YAGO |
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
20078, Henri_Barbusse
86858, Stefan_Dimitrov_(footballer)
118104, male
src, edge_attr, dst
20078, hasGender, 118104
86858, hasGender, 118104
Question: How are Henri_Barbusse and Stefan_Dimitrov_(footballer) related?
Your output must be ONLY the PATH block.
| graph_path | {
"style": "rule"
} | {
"entities": [
"Henri_Barbusse",
"Stefan_Dimitrov_(footballer)"
],
"valid_edges": [
[
"Henri_Barbusse",
"hasGender",
"male"
],
[
"Stefan_Dimitrov_(footballer)",
"hasGender",
"male"
]
],
"ground_truth": [],
"gt_cost": null
} |
YAGO |
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
106796, Adolfo_Suárez
51424, Alberto_Ruiz-Gallardón
118356, Alfredo_Pérez_Rubalcaba
117701, Arturo_Pérez-Reverte
81124, Brent_Sancho
6142, Camilo_José_Cela
117203, Carlos_Arias_Navarro
91353, Carlos_Martínez_de_Irujo,_Duke_of_Sotomayor
50040, Daniel_Barenboim
58147, Enrique_Moles_Ormella
15574, Estanislao_Figueras
68393, Felipe_González
78116, Francisco_Camps
122197, Francisco_Fernández_Ordóñez
122220, Francisco_Franco
13061, Francisco_Álvarez_Cascos
63824, George_Santayana
4072, Jaume_Matas
90014, Javier_Arenas_(Spanish_politician)
65254, Javier_Solana
64164, Jean_Dausset
90441, Joan_Miró
116197, Jorge_Semprún
5666, Josep_Borrell
9701, José_Antonio_Primo_de_Rivera
77025, José_García-Margallo_y_Marfil
73595, José_Luis_López_Vázquez
4635, José_Luis_Rodríguez_Zapatero
60307, José_María_Aznar
86357, José_Pedro_Pérez-Llorca
114330, Juan_Antonio_Samaranch
47836, Juan_Carlos_I_of_Spain
112422, Juan_de_la_Cierva
84870, Leopoldo_Calvo-Sotelo
70854, Lionel_Messi
122045, Luis_Bayón_Herrera
122684, Luis_Carrero_Blanco
45879, Manuel_Fraga_Iribarne
113458, Manuel_Lisa
24115, Mariano_Rajoy
33513, Mario_Vargas_Llosa
49218, Martin_Sheen
35296, Mathieu_Orfila
61187, Miguel_Primo_de_Rivera
67942, Miguel_de_Cervantes
122238, Miguel_de_Unamuno
54068, Nacho_Yáñez
1205, Pedro_Solbes
66069, Plácido_Domingo
111099, Rafael_Arias-Salgado
100719, Rafael_Moneo
65209, Ramon_Carnicer
58633, Ricardo_Bofill
85762, Rodrigo_Rato
48972, Santiago_Ramón_y_Cajal
113777, Severo_Ochoa
24598, Spain
104211, Valladolid
118104, male
75403, Íñigo_Méndez_de_Vigo
src, edge_attr, dst
106796, hasGender, 118104
106796, isPoliticianOf, 24598
51424, hasGender, 118104
51424, isCitizenOf, 24598
51424, livesIn, 24598
118356, hasGender, 118104
118356, isPoliticianOf, 24598
117701, hasGender, 118104
117701, isCitizenOf, 24598
81124, hasGender, 118104
6142, hasGender, 118104
6142, isCitizenOf, 24598
117203, hasGender, 118104
117203, isCitizenOf, 24598
117203, isPoliticianOf, 24598
91353, hasGender, 118104
91353, isPoliticianOf, 24598
50040, hasGender, 118104
50040, isCitizenOf, 24598
58147, hasGender, 118104
58147, isCitizenOf, 24598
15574, hasGender, 118104
15574, isPoliticianOf, 24598
68393, hasGender, 118104
68393, isPoliticianOf, 24598
78116, hasGender, 118104
78116, isCitizenOf, 24598
122197, hasGender, 118104
122197, isPoliticianOf, 24598
122220, hasGender, 118104
122220, isCitizenOf, 24598
122220, isPoliticianOf, 24598
13061, hasGender, 118104
13061, isPoliticianOf, 24598
63824, hasGender, 118104
63824, isCitizenOf, 24598
4072, hasGender, 118104
4072, isPoliticianOf, 24598
90014, hasGender, 118104
90014, isPoliticianOf, 24598
65254, hasGender, 118104
65254, isPoliticianOf, 24598
64164, hasGender, 118104
64164, isCitizenOf, 24598
90441, hasGender, 118104
90441, isCitizenOf, 24598
116197, hasGender, 118104
116197, isPoliticianOf, 24598
5666, hasGender, 118104
5666, isPoliticianOf, 24598
9701, hasGender, 118104
9701, isCitizenOf, 24598
77025, hasGender, 118104
77025, isCitizenOf, 24598
77025, isPoliticianOf, 24598
73595, hasGender, 118104
73595, isCitizenOf, 24598
4635, hasGender, 118104
4635, isPoliticianOf, 24598
60307, hasGender, 118104
60307, isPoliticianOf, 24598
86357, hasGender, 118104
86357, isPoliticianOf, 24598
114330, hasGender, 118104
114330, isPoliticianOf, 24598
47836, hasGender, 118104
47836, isLeaderOf, 24598
112422, hasGender, 118104
112422, isCitizenOf, 24598
84870, hasGender, 118104
84870, isPoliticianOf, 24598
70854, hasGender, 118104
70854, livesIn, 24598
122045, hasGender, 118104
122045, isCitizenOf, 24598
122684, hasGender, 118104
122684, isPoliticianOf, 24598
45879, hasGender, 118104
45879, isPoliticianOf, 24598
113458, hasGender, 118104
113458, isCitizenOf, 24598
24115, hasGender, 118104
24115, isLeaderOf, 24598
24115, isPoliticianOf, 24598
33513, hasGender, 118104
33513, isCitizenOf, 24598
49218, hasGender, 118104
49218, isCitizenOf, 24598
35296, hasGender, 118104
35296, isCitizenOf, 24598
61187, hasGender, 118104
61187, isCitizenOf, 24598
61187, isPoliticianOf, 24598
67942, hasGender, 118104
67942, isCitizenOf, 24598
122238, hasGender, 118104
122238, isCitizenOf, 24598
54068, hasGender, 118104
54068, isCitizenOf, 24598
1205, hasGender, 118104
1205, isPoliticianOf, 24598
66069, hasGender, 118104
66069, isCitizenOf, 24598
111099, hasGender, 118104
111099, isPoliticianOf, 24598
100719, hasGender, 118104
100719, isCitizenOf, 24598
65209, hasGender, 118104
65209, isCitizenOf, 24598
58633, hasGender, 118104
58633, isCitizenOf, 24598
85762, hasGender, 118104
85762, isCitizenOf, 24598
85762, isPoliticianOf, 24598
48972, hasGender, 118104
48972, isCitizenOf, 24598
113777, hasGender, 118104
113777, isCitizenOf, 24598
113777, livesIn, 24598
104211, isLocatedIn, 24598
75403, hasGender, 118104
75403, livesIn, 24598
Question: How are Brent_Sancho and Valladolid related?
Your output must be ONLY the PATH block.
| graph_path | {
"style": "rule"
} | {
"entities": [
"Brent_Sancho",
"Valladolid"
],
"valid_edges": [
[
"Adolfo_Suárez",
"hasGender",
"male"
],
[
"Adolfo_Suárez",
"isPoliticianOf",
"Spain"
],
[
"Alberto_Ruiz-Gallardón",
"hasGender",
"male"
],
[
"Alberto_Ruiz-Gallardón",
"isCitizenOf",
"Spain"
],
[
"Alberto_Ruiz-Gallardón",
"livesIn",
"Spain"
],
[
"Alfredo_Pérez_Rubalcaba",
"hasGender",
"male"
],
[
"Alfredo_Pérez_Rubalcaba",
"isPoliticianOf",
"Spain"
],
[
"Arturo_Pérez-Reverte",
"hasGender",
"male"
],
[
"Arturo_Pérez-Reverte",
"isCitizenOf",
"Spain"
],
[
"Brent_Sancho",
"hasGender",
"male"
],
[
"Camilo_José_Cela",
"hasGender",
"male"
],
[
"Camilo_José_Cela",
"isCitizenOf",
"Spain"
],
[
"Carlos_Arias_Navarro",
"hasGender",
"male"
],
[
"Carlos_Arias_Navarro",
"isCitizenOf",
"Spain"
],
[
"Carlos_Arias_Navarro",
"isPoliticianOf",
"Spain"
],
[
"Carlos_Martínez_de_Irujo,_Duke_of_Sotomayor",
"hasGender",
"male"
],
[
"Carlos_Martínez_de_Irujo,_Duke_of_Sotomayor",
"isPoliticianOf",
"Spain"
],
[
"Daniel_Barenboim",
"hasGender",
"male"
],
[
"Daniel_Barenboim",
"isCitizenOf",
"Spain"
],
[
"Enrique_Moles_Ormella",
"hasGender",
"male"
],
[
"Enrique_Moles_Ormella",
"isCitizenOf",
"Spain"
],
[
"Estanislao_Figueras",
"hasGender",
"male"
],
[
"Estanislao_Figueras",
"isPoliticianOf",
"Spain"
],
[
"Felipe_González",
"hasGender",
"male"
],
[
"Felipe_González",
"isPoliticianOf",
"Spain"
],
[
"Francisco_Camps",
"hasGender",
"male"
],
[
"Francisco_Camps",
"isCitizenOf",
"Spain"
],
[
"Francisco_Fernández_Ordóñez",
"hasGender",
"male"
],
[
"Francisco_Fernández_Ordóñez",
"isPoliticianOf",
"Spain"
],
[
"Francisco_Franco",
"hasGender",
"male"
],
[
"Francisco_Franco",
"isCitizenOf",
"Spain"
],
[
"Francisco_Franco",
"isPoliticianOf",
"Spain"
],
[
"Francisco_Álvarez_Cascos",
"hasGender",
"male"
],
[
"Francisco_Álvarez_Cascos",
"isPoliticianOf",
"Spain"
],
[
"George_Santayana",
"hasGender",
"male"
],
[
"George_Santayana",
"isCitizenOf",
"Spain"
],
[
"Jaume_Matas",
"hasGender",
"male"
],
[
"Jaume_Matas",
"isPoliticianOf",
"Spain"
],
[
"Javier_Arenas_(Spanish_politician)",
"hasGender",
"male"
],
[
"Javier_Arenas_(Spanish_politician)",
"isPoliticianOf",
"Spain"
],
[
"Javier_Solana",
"hasGender",
"male"
],
[
"Javier_Solana",
"isPoliticianOf",
"Spain"
],
[
"Jean_Dausset",
"hasGender",
"male"
],
[
"Jean_Dausset",
"isCitizenOf",
"Spain"
],
[
"Joan_Miró",
"hasGender",
"male"
],
[
"Joan_Miró",
"isCitizenOf",
"Spain"
],
[
"Jorge_Semprún",
"hasGender",
"male"
],
[
"Jorge_Semprún",
"isPoliticianOf",
"Spain"
],
[
"Josep_Borrell",
"hasGender",
"male"
],
[
"Josep_Borrell",
"isPoliticianOf",
"Spain"
],
[
"José_Antonio_Primo_de_Rivera",
"hasGender",
"male"
],
[
"José_Antonio_Primo_de_Rivera",
"isCitizenOf",
"Spain"
],
[
"José_García-Margallo_y_Marfil",
"hasGender",
"male"
],
[
"José_García-Margallo_y_Marfil",
"isCitizenOf",
"Spain"
],
[
"José_García-Margallo_y_Marfil",
"isPoliticianOf",
"Spain"
],
[
"José_Luis_López_Vázquez",
"hasGender",
"male"
],
[
"José_Luis_López_Vázquez",
"isCitizenOf",
"Spain"
],
[
"José_Luis_Rodríguez_Zapatero",
"hasGender",
"male"
],
[
"José_Luis_Rodríguez_Zapatero",
"isPoliticianOf",
"Spain"
],
[
"José_María_Aznar",
"hasGender",
"male"
],
[
"José_María_Aznar",
"isPoliticianOf",
"Spain"
],
[
"José_Pedro_Pérez-Llorca",
"hasGender",
"male"
],
[
"José_Pedro_Pérez-Llorca",
"isPoliticianOf",
"Spain"
],
[
"Juan_Antonio_Samaranch",
"hasGender",
"male"
],
[
"Juan_Antonio_Samaranch",
"isPoliticianOf",
"Spain"
],
[
"Juan_Carlos_I_of_Spain",
"hasGender",
"male"
],
[
"Juan_Carlos_I_of_Spain",
"isLeaderOf",
"Spain"
],
[
"Juan_de_la_Cierva",
"hasGender",
"male"
],
[
"Juan_de_la_Cierva",
"isCitizenOf",
"Spain"
],
[
"Leopoldo_Calvo-Sotelo",
"hasGender",
"male"
],
[
"Leopoldo_Calvo-Sotelo",
"isPoliticianOf",
"Spain"
],
[
"Lionel_Messi",
"hasGender",
"male"
],
[
"Lionel_Messi",
"livesIn",
"Spain"
],
[
"Luis_Bayón_Herrera",
"hasGender",
"male"
],
[
"Luis_Bayón_Herrera",
"isCitizenOf",
"Spain"
],
[
"Luis_Carrero_Blanco",
"hasGender",
"male"
],
[
"Luis_Carrero_Blanco",
"isPoliticianOf",
"Spain"
],
[
"Manuel_Fraga_Iribarne",
"hasGender",
"male"
],
[
"Manuel_Fraga_Iribarne",
"isPoliticianOf",
"Spain"
],
[
"Manuel_Lisa",
"hasGender",
"male"
],
[
"Manuel_Lisa",
"isCitizenOf",
"Spain"
],
[
"Mariano_Rajoy",
"hasGender",
"male"
],
[
"Mariano_Rajoy",
"isLeaderOf",
"Spain"
],
[
"Mariano_Rajoy",
"isPoliticianOf",
"Spain"
],
[
"Mario_Vargas_Llosa",
"hasGender",
"male"
],
[
"Mario_Vargas_Llosa",
"isCitizenOf",
"Spain"
],
[
"Martin_Sheen",
"hasGender",
"male"
],
[
"Martin_Sheen",
"isCitizenOf",
"Spain"
],
[
"Mathieu_Orfila",
"hasGender",
"male"
],
[
"Mathieu_Orfila",
"isCitizenOf",
"Spain"
],
[
"Miguel_Primo_de_Rivera",
"hasGender",
"male"
],
[
"Miguel_Primo_de_Rivera",
"isCitizenOf",
"Spain"
],
[
"Miguel_Primo_de_Rivera",
"isPoliticianOf",
"Spain"
],
[
"Miguel_de_Cervantes",
"hasGender",
"male"
],
[
"Miguel_de_Cervantes",
"isCitizenOf",
"Spain"
],
[
"Miguel_de_Unamuno",
"hasGender",
"male"
],
[
"Miguel_de_Unamuno",
"isCitizenOf",
"Spain"
],
[
"Nacho_Yáñez",
"hasGender",
"male"
],
[
"Nacho_Yáñez",
"isCitizenOf",
"Spain"
],
[
"Pedro_Solbes",
"hasGender",
"male"
],
[
"Pedro_Solbes",
"isPoliticianOf",
"Spain"
],
[
"Plácido_Domingo",
"hasGender",
"male"
],
[
"Plácido_Domingo",
"isCitizenOf",
"Spain"
],
[
"Rafael_Arias-Salgado",
"hasGender",
"male"
],
[
"Rafael_Arias-Salgado",
"isPoliticianOf",
"Spain"
],
[
"Rafael_Moneo",
"hasGender",
"male"
],
[
"Rafael_Moneo",
"isCitizenOf",
"Spain"
],
[
"Ramon_Carnicer",
"hasGender",
"male"
],
[
"Ramon_Carnicer",
"isCitizenOf",
"Spain"
],
[
"Ricardo_Bofill",
"hasGender",
"male"
],
[
"Ricardo_Bofill",
"isCitizenOf",
"Spain"
],
[
"Rodrigo_Rato",
"hasGender",
"male"
],
[
"Rodrigo_Rato",
"isCitizenOf",
"Spain"
],
[
"Rodrigo_Rato",
"isPoliticianOf",
"Spain"
],
[
"Santiago_Ramón_y_Cajal",
"hasGender",
"male"
],
[
"Santiago_Ramón_y_Cajal",
"isCitizenOf",
"Spain"
],
[
"Severo_Ochoa",
"hasGender",
"male"
],
[
"Severo_Ochoa",
"isCitizenOf",
"Spain"
],
[
"Severo_Ochoa",
"livesIn",
"Spain"
],
[
"Valladolid",
"isLocatedIn",
"Spain"
],
[
"Íñigo_Méndez_de_Vigo",
"hasGender",
"male"
],
[
"Íñigo_Méndez_de_Vigo",
"livesIn",
"Spain"
]
],
"ground_truth": [],
"gt_cost": null
} |
YAGO |
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
60073, Blackburn_Rovers_F.C.
109219, Craig_Short
28308, Gordon_O'Connor
28760, Toronto
97557, Will_Johnson_(soccer)
src, edge_attr, dst
109219, isAffiliatedTo, 60073
109219, playsFor, 60073
28308, wasBornIn, 28760
97557, isAffiliatedTo, 60073
97557, playsFor, 60073
97557, wasBornIn, 28760
Question: How are Craig_Short and Gordon_O'Connor related?
Your output must be ONLY the PATH block.
| graph_path | {
"style": "rule"
} | {
"entities": [
"Craig_Short",
"Gordon_O'Connor"
],
"valid_edges": [
[
"Craig_Short",
"isAffiliatedTo",
"Blackburn_Rovers_F.C."
],
[
"Craig_Short",
"playsFor",
"Blackburn_Rovers_F.C."
],
[
"Gordon_O'Connor",
"wasBornIn",
"Toronto"
],
[
"Will_Johnson_(soccer)",
"isAffiliatedTo",
"Blackburn_Rovers_F.C."
],
[
"Will_Johnson_(soccer)",
"playsFor",
"Blackburn_Rovers_F.C."
],
[
"Will_Johnson_(soccer)",
"wasBornIn",
"Toronto"
]
],
"ground_truth": [],
"gt_cost": null
} |
YAGO |
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
33186, Ion_Andoni_Goikoetxea
80645, Søren_Rasted
118104, male
src, edge_attr, dst
33186, hasGender, 118104
80645, hasGender, 118104
Question: How are Ion_Andoni_Goikoetxea and Søren_Rasted related?
Your output must be ONLY the PATH block.
| graph_path | {
"style": "rule"
} | {
"entities": [
"Ion_Andoni_Goikoetxea",
"Søren_Rasted"
],
"valid_edges": [
[
"Ion_Andoni_Goikoetxea",
"hasGender",
"male"
],
[
"Søren_Rasted",
"hasGender",
"male"
]
],
"ground_truth": [],
"gt_cost": null
} |
YAGO |
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
55300, Adrien_Rabiot
66131, Masaharu_Iwata
118104, male
src, edge_attr, dst
55300, hasGender, 118104
66131, hasGender, 118104
Question: In what context are Adrien_Rabiot and Masaharu_Iwata connected?
Your output must be ONLY the PATH block.
| graph_path | {
"style": "rule"
} | {
"entities": [
"Adrien_Rabiot",
"Masaharu_Iwata"
],
"valid_edges": [
[
"Adrien_Rabiot",
"hasGender",
"male"
],
[
"Masaharu_Iwata",
"hasGender",
"male"
]
],
"ground_truth": [],
"gt_cost": null
} |
YAGO |
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
95413, 48_Hrs.
54163, Big_Trouble_in_Little_China
46671, Bruce_Beresford
108086, Canada
117627, Dolores_Claiborne_(film)
120350, Don_Zimmerman_(film_editor)
22866, Doral,_Florida
115965, Double_Jeopardy_(film)
43011, Driving_Miss_Daisy
119042, Esther_Rolle
63923, Florida
61995, Germany
84602, Hans_Zimmer
76110, Intersection_(1994_film)
101279, Leap_of_Faith_(film)
51236, Lolita_Davidovich
363, Mark_Warner_(film_editor)
46981, Monkeybone
15900, Morgan_Freeman
109663, Normand_Corbeil
55762, Pacific_Heights_(film)
118155, Pompano_Beach,_Florida
61404, Rocky_III
51827, Staying_Alive_(1983_film)
65468, The_Chamber_(film)
28073, The_Contract_(2006_film)
94603, The_Devil's_Advocate_(1997_film)
29157, United_States
73835, Weird_Science_(film)
src, edge_attr, dst
95413, isLocatedIn, 29157
54163, isLocatedIn, 29157
46671, directed, 115965
46671, directed, 43011
46671, directed, 28073
108086, dealsWith, 29157
108086, hasNeighbor, 29157
117627, isLocatedIn, 29157
120350, edited, 101279
120350, edited, 61404
120350, edited, 51827
22866, isLocatedIn, 63923
22866, isLocatedIn, 29157
115965, isLocatedIn, 108086
115965, isLocatedIn, 61995
115965, isLocatedIn, 29157
43011, isLocatedIn, 29157
119042, actedIn, 43011
119042, isCitizenOf, 29157
63923, isLocatedIn, 29157
61995, dealsWith, 29157
84602, wroteMusicFor, 43011
84602, wroteMusicFor, 55762
76110, isLocatedIn, 29157
101279, isLocatedIn, 29157
51236, actedIn, 76110
51236, actedIn, 101279
363, edited, 95413
363, edited, 54163
363, edited, 117627
363, edited, 115965
363, edited, 43011
363, edited, 76110
363, edited, 101279
363, edited, 46981
363, edited, 55762
363, edited, 61404
363, edited, 51827
363, edited, 65468
363, edited, 28073
363, edited, 94603
363, edited, 73835
46981, isLocatedIn, 29157
15900, actedIn, 43011
15900, actedIn, 28073
109663, wroteMusicFor, 115965
109663, wroteMusicFor, 28073
55762, isLocatedIn, 29157
118155, isLocatedIn, 63923
118155, isLocatedIn, 29157
61404, isLocatedIn, 29157
51827, isLocatedIn, 29157
65468, isLocatedIn, 29157
28073, isLocatedIn, 61995
28073, isLocatedIn, 29157
94603, isLocatedIn, 61995
94603, isLocatedIn, 29157
29157, dealsWith, 108086
29157, dealsWith, 61995
29157, hasNeighbor, 108086
73835, isLocatedIn, 29157
Question: In what context are Doral,_Florida and Mark_Warner_(film_editor) connected?
Your output must be ONLY the PATH block.
| graph_path | {
"style": "rule"
} | {
"entities": [
"Doral,_Florida",
"Mark_Warner_(film_editor)"
],
"valid_edges": [
[
"48_Hrs.",
"isLocatedIn",
"United_States"
],
[
"Big_Trouble_in_Little_China",
"isLocatedIn",
"United_States"
],
[
"Bruce_Beresford",
"directed",
"Double_Jeopardy_(film)"
],
[
"Bruce_Beresford",
"directed",
"Driving_Miss_Daisy"
],
[
"Bruce_Beresford",
"directed",
"The_Contract_(2006_film)"
],
[
"Canada",
"dealsWith",
"United_States"
],
[
"Canada",
"hasNeighbor",
"United_States"
],
[
"Dolores_Claiborne_(film)",
"isLocatedIn",
"United_States"
],
[
"Don_Zimmerman_(film_editor)",
"edited",
"Leap_of_Faith_(film)"
],
[
"Don_Zimmerman_(film_editor)",
"edited",
"Rocky_III"
],
[
"Don_Zimmerman_(film_editor)",
"edited",
"Staying_Alive_(1983_film)"
],
[
"Doral,_Florida",
"isLocatedIn",
"Florida"
],
[
"Doral,_Florida",
"isLocatedIn",
"United_States"
],
[
"Double_Jeopardy_(film)",
"isLocatedIn",
"Canada"
],
[
"Double_Jeopardy_(film)",
"isLocatedIn",
"Germany"
],
[
"Double_Jeopardy_(film)",
"isLocatedIn",
"United_States"
],
[
"Driving_Miss_Daisy",
"isLocatedIn",
"United_States"
],
[
"Esther_Rolle",
"actedIn",
"Driving_Miss_Daisy"
],
[
"Esther_Rolle",
"isCitizenOf",
"United_States"
],
[
"Florida",
"isLocatedIn",
"United_States"
],
[
"Germany",
"dealsWith",
"United_States"
],
[
"Hans_Zimmer",
"wroteMusicFor",
"Driving_Miss_Daisy"
],
[
"Hans_Zimmer",
"wroteMusicFor",
"Pacific_Heights_(film)"
],
[
"Intersection_(1994_film)",
"isLocatedIn",
"United_States"
],
[
"Leap_of_Faith_(film)",
"isLocatedIn",
"United_States"
],
[
"Lolita_Davidovich",
"actedIn",
"Intersection_(1994_film)"
],
[
"Lolita_Davidovich",
"actedIn",
"Leap_of_Faith_(film)"
],
[
"Mark_Warner_(film_editor)",
"edited",
"48_Hrs."
],
[
"Mark_Warner_(film_editor)",
"edited",
"Big_Trouble_in_Little_China"
],
[
"Mark_Warner_(film_editor)",
"edited",
"Dolores_Claiborne_(film)"
],
[
"Mark_Warner_(film_editor)",
"edited",
"Double_Jeopardy_(film)"
],
[
"Mark_Warner_(film_editor)",
"edited",
"Driving_Miss_Daisy"
],
[
"Mark_Warner_(film_editor)",
"edited",
"Intersection_(1994_film)"
],
[
"Mark_Warner_(film_editor)",
"edited",
"Leap_of_Faith_(film)"
],
[
"Mark_Warner_(film_editor)",
"edited",
"Monkeybone"
],
[
"Mark_Warner_(film_editor)",
"edited",
"Pacific_Heights_(film)"
],
[
"Mark_Warner_(film_editor)",
"edited",
"Rocky_III"
],
[
"Mark_Warner_(film_editor)",
"edited",
"Staying_Alive_(1983_film)"
],
[
"Mark_Warner_(film_editor)",
"edited",
"The_Chamber_(film)"
],
[
"Mark_Warner_(film_editor)",
"edited",
"The_Contract_(2006_film)"
],
[
"Mark_Warner_(film_editor)",
"edited",
"The_Devil's_Advocate_(1997_film)"
],
[
"Mark_Warner_(film_editor)",
"edited",
"Weird_Science_(film)"
],
[
"Monkeybone",
"isLocatedIn",
"United_States"
],
[
"Morgan_Freeman",
"actedIn",
"Driving_Miss_Daisy"
],
[
"Morgan_Freeman",
"actedIn",
"The_Contract_(2006_film)"
],
[
"Normand_Corbeil",
"wroteMusicFor",
"Double_Jeopardy_(film)"
],
[
"Normand_Corbeil",
"wroteMusicFor",
"The_Contract_(2006_film)"
],
[
"Pacific_Heights_(film)",
"isLocatedIn",
"United_States"
],
[
"Pompano_Beach,_Florida",
"isLocatedIn",
"Florida"
],
[
"Pompano_Beach,_Florida",
"isLocatedIn",
"United_States"
],
[
"Rocky_III",
"isLocatedIn",
"United_States"
],
[
"Staying_Alive_(1983_film)",
"isLocatedIn",
"United_States"
],
[
"The_Chamber_(film)",
"isLocatedIn",
"United_States"
],
[
"The_Contract_(2006_film)",
"isLocatedIn",
"Germany"
],
[
"The_Contract_(2006_film)",
"isLocatedIn",
"United_States"
],
[
"The_Devil's_Advocate_(1997_film)",
"isLocatedIn",
"Germany"
],
[
"The_Devil's_Advocate_(1997_film)",
"isLocatedIn",
"United_States"
],
[
"United_States",
"dealsWith",
"Canada"
],
[
"United_States",
"dealsWith",
"Germany"
],
[
"United_States",
"hasNeighbor",
"Canada"
],
[
"Weird_Science_(film)",
"isLocatedIn",
"United_States"
]
],
"ground_truth": [],
"gt_cost": null
} |
YAGO |
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
6980, Edwin_Gorter
54944, FC_Lugano
28708, FC_Wangen_bei_Olten
93069, Fernando_Clavijo
51358, Josip_Colina
28635, New_England_Revolution
99334, Pascal_Renfer
64818, Tom_Lips
121786, Uwe_Wegmann
src, edge_attr, dst
6980, isAffiliatedTo, 54944
6980, isAffiliatedTo, 28635
6980, playsFor, 54944
6980, playsFor, 28635
93069, isAffiliatedTo, 28635
51358, isAffiliatedTo, 54944
51358, isAffiliatedTo, 28708
51358, playsFor, 54944
51358, playsFor, 28708
99334, isAffiliatedTo, 54944
99334, isAffiliatedTo, 28708
99334, playsFor, 54944
99334, playsFor, 28708
64818, isAffiliatedTo, 28708
64818, isAffiliatedTo, 28635
64818, playsFor, 28708
64818, playsFor, 28635
121786, isAffiliatedTo, 54944
121786, isAffiliatedTo, 28708
121786, playsFor, 54944
121786, playsFor, 28708
Question: For what reason are Fernando_Clavijo and Josip_Colina associated?
Your output must be ONLY the PATH block.
| graph_path | {
"style": "rule"
} | {
"entities": [
"Fernando_Clavijo",
"Josip_Colina"
],
"valid_edges": [
[
"Edwin_Gorter",
"isAffiliatedTo",
"FC_Lugano"
],
[
"Edwin_Gorter",
"isAffiliatedTo",
"New_England_Revolution"
],
[
"Edwin_Gorter",
"playsFor",
"FC_Lugano"
],
[
"Edwin_Gorter",
"playsFor",
"New_England_Revolution"
],
[
"Fernando_Clavijo",
"isAffiliatedTo",
"New_England_Revolution"
],
[
"Josip_Colina",
"isAffiliatedTo",
"FC_Lugano"
],
[
"Josip_Colina",
"isAffiliatedTo",
"FC_Wangen_bei_Olten"
],
[
"Josip_Colina",
"playsFor",
"FC_Lugano"
],
[
"Josip_Colina",
"playsFor",
"FC_Wangen_bei_Olten"
],
[
"Pascal_Renfer",
"isAffiliatedTo",
"FC_Lugano"
],
[
"Pascal_Renfer",
"isAffiliatedTo",
"FC_Wangen_bei_Olten"
],
[
"Pascal_Renfer",
"playsFor",
"FC_Lugano"
],
[
"Pascal_Renfer",
"playsFor",
"FC_Wangen_bei_Olten"
],
[
"Tom_Lips",
"isAffiliatedTo",
"FC_Wangen_bei_Olten"
],
[
"Tom_Lips",
"isAffiliatedTo",
"New_England_Revolution"
],
[
"Tom_Lips",
"playsFor",
"FC_Wangen_bei_Olten"
],
[
"Tom_Lips",
"playsFor",
"New_England_Revolution"
],
[
"Uwe_Wegmann",
"isAffiliatedTo",
"FC_Lugano"
],
[
"Uwe_Wegmann",
"isAffiliatedTo",
"FC_Wangen_bei_Olten"
],
[
"Uwe_Wegmann",
"playsFor",
"FC_Lugano"
],
[
"Uwe_Wegmann",
"playsFor",
"FC_Wangen_bei_Olten"
]
],
"ground_truth": [],
"gt_cost": null
} |
YAGO |
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
74024, Ada,_Oklahoma
44269, Altus,_Oklahoma
107109, Anadarko,_Oklahoma
49247, Ardmore,_Oklahoma
14622, Bartlesville,_Oklahoma
114504, Bethany,_Oklahoma
123147, Bixby,_Oklahoma
90169, Broken_Arrow,_Oklahoma
75644, Chickasha,_Oklahoma
67670, Claremore,_Oklahoma
113787, Clinton,_Oklahoma
23178, Coweta,_Oklahoma
65947, Donna_Nelson
25927, Duncan,_Oklahoma
114642, Durant,_Oklahoma
33896, East_Central_University
67011, Edmond,_Oklahoma
74469, El_Reno,_Oklahoma
23676, Elk_City,_Oklahoma
81840, Enid,_Oklahoma
44302, Eufaula,_Oklahoma
65551, Guthrie,_Oklahoma
41113, Henryetta,_Oklahoma
4137, High_Plains_(United_States)
104709, Hollis,_Oklahoma
61445, Hugo,_Oklahoma
52827, Idabel,_Oklahoma
28460, Jeanne_Eagels_(film)
24569, Kingfisher,_Oklahoma
114412, Lawton,_Oklahoma
81785, Lawton_(Oklahoma)
34417, Mary_Fallin
101262, McAlester,_Oklahoma
98992, Miami,_Oklahoma
96448, Midwest_City,_Oklahoma
101846, Moore,_Oklahoma
31073, Norman,_Oklahoma
9749, Norman_(Oklahoma)
4201, Northern_Oklahoma_College
98233, Okemah,_Oklahoma
6224, Oklahoma
24096, Oklahoma_Baptist_University
120897, Oklahoma_City
23118, Oklahoma_City_University
98123, Oklahoma_County,_Oklahoma
63151, Oklahoma_State_University–Stillwater
50803, Okmulgee,_Oklahoma
45105, Oral_Roberts_University
34113, Pawhuska,_Oklahoma
95149, Pawnee,_Oklahoma
4871, Ponca_City,_Oklahoma
119160, Poteau,_Oklahoma
30094, Pryor_Creek,_Oklahoma
80723, Purcell,_Oklahoma
109354, Sand_Springs,_Oklahoma
38223, Sapulpa,_Oklahoma
93903, Seminole,_Oklahoma
33511, Shawnee,_Oklahoma
57524, Southeastern_Oklahoma_State_University
34313, Southern_Nazarene_University
116874, Southwestern_Oklahoma_State_University
23467, Stillwater,_Oklahoma
82612, Tahlequah,_Oklahoma
91539, Tishomingo,_Oklahoma
25748, Tulsa,_Oklahoma
29157, United_States
7426, University_of_Oklahoma
114253, University_of_Tulsa
16561, Vinita,_Oklahoma
2629, Wagoner,_Oklahoma
110165, Weatherford,_Oklahoma
22486, Western_United_States
23088, Wewoka,_Oklahoma
19851, Woodward,_Oklahoma
src, edge_attr, dst
74024, isLocatedIn, 6224
74024, isLocatedIn, 29157
44269, isLocatedIn, 6224
44269, isLocatedIn, 29157
107109, isLocatedIn, 6224
107109, isLocatedIn, 29157
49247, isLocatedIn, 6224
49247, isLocatedIn, 29157
14622, isLocatedIn, 6224
14622, isLocatedIn, 29157
114504, isLocatedIn, 6224
114504, isLocatedIn, 98123
114504, isLocatedIn, 29157
123147, isLocatedIn, 6224
123147, isLocatedIn, 29157
90169, isLocatedIn, 6224
90169, isLocatedIn, 29157
75644, isLocatedIn, 6224
75644, isLocatedIn, 29157
67670, isLocatedIn, 6224
67670, isLocatedIn, 29157
113787, isLocatedIn, 6224
113787, isLocatedIn, 29157
23178, isLocatedIn, 6224
23178, isLocatedIn, 29157
65947, isCitizenOf, 29157
65947, livesIn, 6224
65947, livesIn, 29157
25927, isLocatedIn, 6224
25927, isLocatedIn, 29157
114642, isLocatedIn, 6224
114642, isLocatedIn, 29157
33896, isLocatedIn, 6224
33896, isLocatedIn, 29157
67011, isLocatedIn, 6224
67011, isLocatedIn, 98123
67011, isLocatedIn, 29157
74469, isLocatedIn, 6224
74469, isLocatedIn, 29157
23676, isLocatedIn, 6224
23676, isLocatedIn, 29157
81840, isLocatedIn, 6224
81840, isLocatedIn, 29157
44302, isLocatedIn, 6224
44302, isLocatedIn, 29157
65551, isLocatedIn, 6224
65551, isLocatedIn, 29157
41113, isLocatedIn, 6224
41113, isLocatedIn, 29157
4137, isLocatedIn, 6224
4137, isLocatedIn, 29157
104709, isLocatedIn, 6224
104709, isLocatedIn, 29157
61445, isLocatedIn, 6224
61445, isLocatedIn, 29157
52827, isLocatedIn, 6224
52827, isLocatedIn, 29157
28460, isLocatedIn, 29157
24569, isLocatedIn, 6224
24569, isLocatedIn, 29157
114412, isLocatedIn, 6224
114412, isLocatedIn, 29157
81785, isLocatedIn, 6224
81785, isLocatedIn, 29157
34417, isPoliticianOf, 6224
34417, isPoliticianOf, 29157
101262, isLocatedIn, 6224
101262, isLocatedIn, 29157
98992, isLocatedIn, 6224
98992, isLocatedIn, 29157
96448, isLocatedIn, 6224
96448, isLocatedIn, 98123
96448, isLocatedIn, 29157
101846, isLocatedIn, 6224
101846, isLocatedIn, 29157
31073, isLocatedIn, 6224
31073, isLocatedIn, 29157
9749, isLocatedIn, 6224
9749, isLocatedIn, 29157
4201, isLocatedIn, 6224
4201, isLocatedIn, 29157
98233, isLocatedIn, 6224
98233, isLocatedIn, 29157
6224, hasCapital, 120897
6224, isLocatedIn, 29157
6224, isLocatedIn, 22486
24096, isLocatedIn, 6224
24096, isLocatedIn, 29157
120897, isLocatedIn, 6224
120897, isLocatedIn, 98123
120897, isLocatedIn, 29157
23118, isLocatedIn, 6224
23118, isLocatedIn, 120897
23118, isLocatedIn, 29157
98123, isLocatedIn, 6224
98123, isLocatedIn, 120897
63151, isLocatedIn, 6224
63151, isLocatedIn, 29157
50803, isLocatedIn, 6224
50803, isLocatedIn, 29157
45105, isLocatedIn, 6224
45105, isLocatedIn, 29157
34113, isLocatedIn, 6224
34113, isLocatedIn, 29157
95149, isLocatedIn, 6224
95149, isLocatedIn, 29157
4871, isLocatedIn, 6224
4871, isLocatedIn, 29157
119160, isLocatedIn, 6224
119160, isLocatedIn, 29157
30094, isLocatedIn, 6224
30094, isLocatedIn, 29157
80723, isLocatedIn, 6224
80723, isLocatedIn, 29157
109354, isLocatedIn, 6224
109354, isLocatedIn, 29157
38223, isLocatedIn, 6224
38223, isLocatedIn, 29157
93903, isLocatedIn, 6224
93903, isLocatedIn, 29157
33511, isLocatedIn, 6224
33511, isLocatedIn, 29157
57524, isLocatedIn, 6224
57524, isLocatedIn, 29157
34313, isLocatedIn, 114504
34313, isLocatedIn, 6224
34313, isLocatedIn, 29157
116874, isLocatedIn, 6224
116874, isLocatedIn, 29157
23467, isLocatedIn, 6224
23467, isLocatedIn, 29157
82612, isLocatedIn, 6224
82612, isLocatedIn, 29157
91539, isLocatedIn, 6224
91539, isLocatedIn, 29157
25748, isLocatedIn, 6224
25748, isLocatedIn, 29157
7426, isLocatedIn, 6224
7426, isLocatedIn, 29157
114253, isLocatedIn, 6224
114253, isLocatedIn, 29157
16561, isLocatedIn, 6224
16561, isLocatedIn, 29157
2629, isLocatedIn, 6224
2629, isLocatedIn, 29157
110165, isLocatedIn, 6224
110165, isLocatedIn, 29157
22486, isLocatedIn, 29157
23088, isLocatedIn, 6224
23088, isLocatedIn, 29157
19851, isLocatedIn, 6224
19851, isLocatedIn, 29157
Question: How are Jeanne_Eagels_(film) and Oklahoma_County,_Oklahoma related?
Your output must be ONLY the PATH block.
| graph_path | {
"style": "rule"
} | {
"entities": [
"Jeanne_Eagels_(film)",
"Oklahoma_County,_Oklahoma"
],
"valid_edges": [
[
"Ada,_Oklahoma",
"isLocatedIn",
"Oklahoma"
],
[
"Ada,_Oklahoma",
"isLocatedIn",
"United_States"
],
[
"Altus,_Oklahoma",
"isLocatedIn",
"Oklahoma"
],
[
"Altus,_Oklahoma",
"isLocatedIn",
"United_States"
],
[
"Anadarko,_Oklahoma",
"isLocatedIn",
"Oklahoma"
],
[
"Anadarko,_Oklahoma",
"isLocatedIn",
"United_States"
],
[
"Ardmore,_Oklahoma",
"isLocatedIn",
"Oklahoma"
],
[
"Ardmore,_Oklahoma",
"isLocatedIn",
"United_States"
],
[
"Bartlesville,_Oklahoma",
"isLocatedIn",
"Oklahoma"
],
[
"Bartlesville,_Oklahoma",
"isLocatedIn",
"United_States"
],
[
"Bethany,_Oklahoma",
"isLocatedIn",
"Oklahoma"
],
[
"Bethany,_Oklahoma",
"isLocatedIn",
"Oklahoma_County,_Oklahoma"
],
[
"Bethany,_Oklahoma",
"isLocatedIn",
"United_States"
],
[
"Bixby,_Oklahoma",
"isLocatedIn",
"Oklahoma"
],
[
"Bixby,_Oklahoma",
"isLocatedIn",
"United_States"
],
[
"Broken_Arrow,_Oklahoma",
"isLocatedIn",
"Oklahoma"
],
[
"Broken_Arrow,_Oklahoma",
"isLocatedIn",
"United_States"
],
[
"Chickasha,_Oklahoma",
"isLocatedIn",
"Oklahoma"
],
[
"Chickasha,_Oklahoma",
"isLocatedIn",
"United_States"
],
[
"Claremore,_Oklahoma",
"isLocatedIn",
"Oklahoma"
],
[
"Claremore,_Oklahoma",
"isLocatedIn",
"United_States"
],
[
"Clinton,_Oklahoma",
"isLocatedIn",
"Oklahoma"
],
[
"Clinton,_Oklahoma",
"isLocatedIn",
"United_States"
],
[
"Coweta,_Oklahoma",
"isLocatedIn",
"Oklahoma"
],
[
"Coweta,_Oklahoma",
"isLocatedIn",
"United_States"
],
[
"Donna_Nelson",
"isCitizenOf",
"United_States"
],
[
"Donna_Nelson",
"livesIn",
"Oklahoma"
],
[
"Donna_Nelson",
"livesIn",
"United_States"
],
[
"Duncan,_Oklahoma",
"isLocatedIn",
"Oklahoma"
],
[
"Duncan,_Oklahoma",
"isLocatedIn",
"United_States"
],
[
"Durant,_Oklahoma",
"isLocatedIn",
"Oklahoma"
],
[
"Durant,_Oklahoma",
"isLocatedIn",
"United_States"
],
[
"East_Central_University",
"isLocatedIn",
"Oklahoma"
],
[
"East_Central_University",
"isLocatedIn",
"United_States"
],
[
"Edmond,_Oklahoma",
"isLocatedIn",
"Oklahoma"
],
[
"Edmond,_Oklahoma",
"isLocatedIn",
"Oklahoma_County,_Oklahoma"
],
[
"Edmond,_Oklahoma",
"isLocatedIn",
"United_States"
],
[
"El_Reno,_Oklahoma",
"isLocatedIn",
"Oklahoma"
],
[
"El_Reno,_Oklahoma",
"isLocatedIn",
"United_States"
],
[
"Elk_City,_Oklahoma",
"isLocatedIn",
"Oklahoma"
],
[
"Elk_City,_Oklahoma",
"isLocatedIn",
"United_States"
],
[
"Enid,_Oklahoma",
"isLocatedIn",
"Oklahoma"
],
[
"Enid,_Oklahoma",
"isLocatedIn",
"United_States"
],
[
"Eufaula,_Oklahoma",
"isLocatedIn",
"Oklahoma"
],
[
"Eufaula,_Oklahoma",
"isLocatedIn",
"United_States"
],
[
"Guthrie,_Oklahoma",
"isLocatedIn",
"Oklahoma"
],
[
"Guthrie,_Oklahoma",
"isLocatedIn",
"United_States"
],
[
"Henryetta,_Oklahoma",
"isLocatedIn",
"Oklahoma"
],
[
"Henryetta,_Oklahoma",
"isLocatedIn",
"United_States"
],
[
"High_Plains_(United_States)",
"isLocatedIn",
"Oklahoma"
],
[
"High_Plains_(United_States)",
"isLocatedIn",
"United_States"
],
[
"Hollis,_Oklahoma",
"isLocatedIn",
"Oklahoma"
],
[
"Hollis,_Oklahoma",
"isLocatedIn",
"United_States"
],
[
"Hugo,_Oklahoma",
"isLocatedIn",
"Oklahoma"
],
[
"Hugo,_Oklahoma",
"isLocatedIn",
"United_States"
],
[
"Idabel,_Oklahoma",
"isLocatedIn",
"Oklahoma"
],
[
"Idabel,_Oklahoma",
"isLocatedIn",
"United_States"
],
[
"Jeanne_Eagels_(film)",
"isLocatedIn",
"United_States"
],
[
"Kingfisher,_Oklahoma",
"isLocatedIn",
"Oklahoma"
],
[
"Kingfisher,_Oklahoma",
"isLocatedIn",
"United_States"
],
[
"Lawton,_Oklahoma",
"isLocatedIn",
"Oklahoma"
],
[
"Lawton,_Oklahoma",
"isLocatedIn",
"United_States"
],
[
"Lawton_(Oklahoma)",
"isLocatedIn",
"Oklahoma"
],
[
"Lawton_(Oklahoma)",
"isLocatedIn",
"United_States"
],
[
"Mary_Fallin",
"isPoliticianOf",
"Oklahoma"
],
[
"Mary_Fallin",
"isPoliticianOf",
"United_States"
],
[
"McAlester,_Oklahoma",
"isLocatedIn",
"Oklahoma"
],
[
"McAlester,_Oklahoma",
"isLocatedIn",
"United_States"
],
[
"Miami,_Oklahoma",
"isLocatedIn",
"Oklahoma"
],
[
"Miami,_Oklahoma",
"isLocatedIn",
"United_States"
],
[
"Midwest_City,_Oklahoma",
"isLocatedIn",
"Oklahoma"
],
[
"Midwest_City,_Oklahoma",
"isLocatedIn",
"Oklahoma_County,_Oklahoma"
],
[
"Midwest_City,_Oklahoma",
"isLocatedIn",
"United_States"
],
[
"Moore,_Oklahoma",
"isLocatedIn",
"Oklahoma"
],
[
"Moore,_Oklahoma",
"isLocatedIn",
"United_States"
],
[
"Norman,_Oklahoma",
"isLocatedIn",
"Oklahoma"
],
[
"Norman,_Oklahoma",
"isLocatedIn",
"United_States"
],
[
"Norman_(Oklahoma)",
"isLocatedIn",
"Oklahoma"
],
[
"Norman_(Oklahoma)",
"isLocatedIn",
"United_States"
],
[
"Northern_Oklahoma_College",
"isLocatedIn",
"Oklahoma"
],
[
"Northern_Oklahoma_College",
"isLocatedIn",
"United_States"
],
[
"Okemah,_Oklahoma",
"isLocatedIn",
"Oklahoma"
],
[
"Okemah,_Oklahoma",
"isLocatedIn",
"United_States"
],
[
"Oklahoma",
"hasCapital",
"Oklahoma_City"
],
[
"Oklahoma",
"isLocatedIn",
"United_States"
],
[
"Oklahoma",
"isLocatedIn",
"Western_United_States"
],
[
"Oklahoma_Baptist_University",
"isLocatedIn",
"Oklahoma"
],
[
"Oklahoma_Baptist_University",
"isLocatedIn",
"United_States"
],
[
"Oklahoma_City",
"isLocatedIn",
"Oklahoma"
],
[
"Oklahoma_City",
"isLocatedIn",
"Oklahoma_County,_Oklahoma"
],
[
"Oklahoma_City",
"isLocatedIn",
"United_States"
],
[
"Oklahoma_City_University",
"isLocatedIn",
"Oklahoma"
],
[
"Oklahoma_City_University",
"isLocatedIn",
"Oklahoma_City"
],
[
"Oklahoma_City_University",
"isLocatedIn",
"United_States"
],
[
"Oklahoma_County,_Oklahoma",
"isLocatedIn",
"Oklahoma"
],
[
"Oklahoma_County,_Oklahoma",
"isLocatedIn",
"Oklahoma_City"
],
[
"Oklahoma_State_University–Stillwater",
"isLocatedIn",
"Oklahoma"
],
[
"Oklahoma_State_University–Stillwater",
"isLocatedIn",
"United_States"
],
[
"Okmulgee,_Oklahoma",
"isLocatedIn",
"Oklahoma"
],
[
"Okmulgee,_Oklahoma",
"isLocatedIn",
"United_States"
],
[
"Oral_Roberts_University",
"isLocatedIn",
"Oklahoma"
],
[
"Oral_Roberts_University",
"isLocatedIn",
"United_States"
],
[
"Pawhuska,_Oklahoma",
"isLocatedIn",
"Oklahoma"
],
[
"Pawhuska,_Oklahoma",
"isLocatedIn",
"United_States"
],
[
"Pawnee,_Oklahoma",
"isLocatedIn",
"Oklahoma"
],
[
"Pawnee,_Oklahoma",
"isLocatedIn",
"United_States"
],
[
"Ponca_City,_Oklahoma",
"isLocatedIn",
"Oklahoma"
],
[
"Ponca_City,_Oklahoma",
"isLocatedIn",
"United_States"
],
[
"Poteau,_Oklahoma",
"isLocatedIn",
"Oklahoma"
],
[
"Poteau,_Oklahoma",
"isLocatedIn",
"United_States"
],
[
"Pryor_Creek,_Oklahoma",
"isLocatedIn",
"Oklahoma"
],
[
"Pryor_Creek,_Oklahoma",
"isLocatedIn",
"United_States"
],
[
"Purcell,_Oklahoma",
"isLocatedIn",
"Oklahoma"
],
[
"Purcell,_Oklahoma",
"isLocatedIn",
"United_States"
],
[
"Sand_Springs,_Oklahoma",
"isLocatedIn",
"Oklahoma"
],
[
"Sand_Springs,_Oklahoma",
"isLocatedIn",
"United_States"
],
[
"Sapulpa,_Oklahoma",
"isLocatedIn",
"Oklahoma"
],
[
"Sapulpa,_Oklahoma",
"isLocatedIn",
"United_States"
],
[
"Seminole,_Oklahoma",
"isLocatedIn",
"Oklahoma"
],
[
"Seminole,_Oklahoma",
"isLocatedIn",
"United_States"
],
[
"Shawnee,_Oklahoma",
"isLocatedIn",
"Oklahoma"
],
[
"Shawnee,_Oklahoma",
"isLocatedIn",
"United_States"
],
[
"Southeastern_Oklahoma_State_University",
"isLocatedIn",
"Oklahoma"
],
[
"Southeastern_Oklahoma_State_University",
"isLocatedIn",
"United_States"
],
[
"Southern_Nazarene_University",
"isLocatedIn",
"Bethany,_Oklahoma"
],
[
"Southern_Nazarene_University",
"isLocatedIn",
"Oklahoma"
],
[
"Southern_Nazarene_University",
"isLocatedIn",
"United_States"
],
[
"Southwestern_Oklahoma_State_University",
"isLocatedIn",
"Oklahoma"
],
[
"Southwestern_Oklahoma_State_University",
"isLocatedIn",
"United_States"
],
[
"Stillwater,_Oklahoma",
"isLocatedIn",
"Oklahoma"
],
[
"Stillwater,_Oklahoma",
"isLocatedIn",
"United_States"
],
[
"Tahlequah,_Oklahoma",
"isLocatedIn",
"Oklahoma"
],
[
"Tahlequah,_Oklahoma",
"isLocatedIn",
"United_States"
],
[
"Tishomingo,_Oklahoma",
"isLocatedIn",
"Oklahoma"
],
[
"Tishomingo,_Oklahoma",
"isLocatedIn",
"United_States"
],
[
"Tulsa,_Oklahoma",
"isLocatedIn",
"Oklahoma"
],
[
"Tulsa,_Oklahoma",
"isLocatedIn",
"United_States"
],
[
"University_of_Oklahoma",
"isLocatedIn",
"Oklahoma"
],
[
"University_of_Oklahoma",
"isLocatedIn",
"United_States"
],
[
"University_of_Tulsa",
"isLocatedIn",
"Oklahoma"
],
[
"University_of_Tulsa",
"isLocatedIn",
"United_States"
],
[
"Vinita,_Oklahoma",
"isLocatedIn",
"Oklahoma"
],
[
"Vinita,_Oklahoma",
"isLocatedIn",
"United_States"
],
[
"Wagoner,_Oklahoma",
"isLocatedIn",
"Oklahoma"
],
[
"Wagoner,_Oklahoma",
"isLocatedIn",
"United_States"
],
[
"Weatherford,_Oklahoma",
"isLocatedIn",
"Oklahoma"
],
[
"Weatherford,_Oklahoma",
"isLocatedIn",
"United_States"
],
[
"Western_United_States",
"isLocatedIn",
"United_States"
],
[
"Wewoka,_Oklahoma",
"isLocatedIn",
"Oklahoma"
],
[
"Wewoka,_Oklahoma",
"isLocatedIn",
"United_States"
],
[
"Woodward,_Oklahoma",
"isLocatedIn",
"Oklahoma"
],
[
"Woodward,_Oklahoma",
"isLocatedIn",
"United_States"
]
],
"ground_truth": [],
"gt_cost": null
} |
YAGO |
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
27280, Billy_Bryant
5700, Chester_City_F.C.
56579, FC_St._Pauli
55992, Ian_Joy
49975, Madjid_Albry
src, edge_attr, dst
27280, isAffiliatedTo, 5700
27280, playsFor, 5700
55992, isAffiliatedTo, 5700
55992, isAffiliatedTo, 56579
55992, playsFor, 5700
55992, playsFor, 56579
49975, isAffiliatedTo, 56579
49975, playsFor, 56579
Question: For what reason are Billy_Bryant and Madjid_Albry associated?
Your output must be ONLY the PATH block.
| graph_path | {
"style": "rule"
} | {
"entities": [
"Billy_Bryant",
"Madjid_Albry"
],
"valid_edges": [
[
"Billy_Bryant",
"isAffiliatedTo",
"Chester_City_F.C."
],
[
"Billy_Bryant",
"playsFor",
"Chester_City_F.C."
],
[
"Ian_Joy",
"isAffiliatedTo",
"Chester_City_F.C."
],
[
"Ian_Joy",
"isAffiliatedTo",
"FC_St._Pauli"
],
[
"Ian_Joy",
"playsFor",
"Chester_City_F.C."
],
[
"Ian_Joy",
"playsFor",
"FC_St._Pauli"
],
[
"Madjid_Albry",
"isAffiliatedTo",
"FC_St._Pauli"
],
[
"Madjid_Albry",
"playsFor",
"FC_St._Pauli"
]
],
"ground_truth": [],
"gt_cost": null
} |
YAGO |
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
79367, FC_Seoul
122973, Grafite
36874, Kiki_Musampa
52288, Mike_van_der_Kooy
122842, Netherlands_national_under-17_football_team
src, edge_attr, dst
122973, isAffiliatedTo, 79367
122973, playsFor, 79367
36874, isAffiliatedTo, 79367
36874, isAffiliatedTo, 122842
36874, playsFor, 79367
36874, playsFor, 122842
52288, isAffiliatedTo, 122842
Question: In what context are Grafite and Mike_van_der_Kooy connected?
Your output must be ONLY the PATH block.
| graph_path | {
"style": "rule"
} | {
"entities": [
"Grafite",
"Mike_van_der_Kooy"
],
"valid_edges": [
[
"Grafite",
"isAffiliatedTo",
"FC_Seoul"
],
[
"Grafite",
"playsFor",
"FC_Seoul"
],
[
"Kiki_Musampa",
"isAffiliatedTo",
"FC_Seoul"
],
[
"Kiki_Musampa",
"isAffiliatedTo",
"Netherlands_national_under-17_football_team"
],
[
"Kiki_Musampa",
"playsFor",
"FC_Seoul"
],
[
"Kiki_Musampa",
"playsFor",
"Netherlands_national_under-17_football_team"
],
[
"Mike_van_der_Kooy",
"isAffiliatedTo",
"Netherlands_national_under-17_football_team"
]
],
"ground_truth": [],
"gt_cost": null
} |
YAGO |
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
95674, Osea_Vakatalesau
60826, Peter_Schaefer_(ice_hockey)
118104, male
src, edge_attr, dst
95674, hasGender, 118104
60826, hasGender, 118104
Question: How are Osea_Vakatalesau and Peter_Schaefer_(ice_hockey) related?
Your output must be ONLY the PATH block.
| graph_path | {
"style": "rule"
} | {
"entities": [
"Osea_Vakatalesau",
"Peter_Schaefer_(ice_hockey)"
],
"valid_edges": [
[
"Osea_Vakatalesau",
"hasGender",
"male"
],
[
"Peter_Schaefer_(ice_hockey)",
"hasGender",
"male"
]
],
"ground_truth": [],
"gt_cost": null
} |
YAGO |
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
99178, Babanco
954, Bijou_(footballer)
78914, Cabral_(footballer)
51022, Cao_(Portuguese_footballer)
11915, Carlos_Pedro_Silva_Morais
2246, Dário_Furtado
19795, Gelson_Fernandes
65727, Ian_McKechnie
37101, José_Emilio_Furtado
54911, José_Rui
6862, Luís_Carlos_Almada_Soares
116624, Manuel_dos_Santos_Fernandes
17302, Nando_Maria_Neves
91696, Nani
38722, Nelson_Mandela_International_Airport
29631, Neno_(footballer)
44041, Pedro_DeBrito
97825, Piguita
66667, Praia
58689, Stopira
69234, Vinha
118104, male
src, edge_attr, dst
99178, hasGender, 118104
99178, wasBornIn, 66667
954, hasGender, 118104
954, wasBornIn, 66667
78914, hasGender, 118104
78914, wasBornIn, 66667
51022, hasGender, 118104
51022, wasBornIn, 66667
11915, hasGender, 118104
11915, wasBornIn, 66667
2246, hasGender, 118104
2246, wasBornIn, 66667
19795, hasGender, 118104
19795, wasBornIn, 66667
65727, hasGender, 118104
37101, hasGender, 118104
37101, wasBornIn, 66667
54911, hasGender, 118104
54911, wasBornIn, 66667
6862, hasGender, 118104
6862, wasBornIn, 66667
116624, hasGender, 118104
116624, wasBornIn, 66667
17302, hasGender, 118104
17302, wasBornIn, 66667
91696, hasGender, 118104
91696, wasBornIn, 66667
38722, isLocatedIn, 66667
29631, hasGender, 118104
29631, wasBornIn, 66667
44041, hasGender, 118104
44041, wasBornIn, 66667
97825, hasGender, 118104
97825, wasBornIn, 66667
58689, hasGender, 118104
58689, wasBornIn, 66667
69234, hasGender, 118104
69234, wasBornIn, 66667
Question: In what context are Ian_McKechnie and Nelson_Mandela_International_Airport connected?
Your output must be ONLY the PATH block.
| graph_path | {
"style": "rule"
} | {
"entities": [
"Ian_McKechnie",
"Nelson_Mandela_International_Airport"
],
"valid_edges": [
[
"Babanco",
"hasGender",
"male"
],
[
"Babanco",
"wasBornIn",
"Praia"
],
[
"Bijou_(footballer)",
"hasGender",
"male"
],
[
"Bijou_(footballer)",
"wasBornIn",
"Praia"
],
[
"Cabral_(footballer)",
"hasGender",
"male"
],
[
"Cabral_(footballer)",
"wasBornIn",
"Praia"
],
[
"Cao_(Portuguese_footballer)",
"hasGender",
"male"
],
[
"Cao_(Portuguese_footballer)",
"wasBornIn",
"Praia"
],
[
"Carlos_Pedro_Silva_Morais",
"hasGender",
"male"
],
[
"Carlos_Pedro_Silva_Morais",
"wasBornIn",
"Praia"
],
[
"Dário_Furtado",
"hasGender",
"male"
],
[
"Dário_Furtado",
"wasBornIn",
"Praia"
],
[
"Gelson_Fernandes",
"hasGender",
"male"
],
[
"Gelson_Fernandes",
"wasBornIn",
"Praia"
],
[
"Ian_McKechnie",
"hasGender",
"male"
],
[
"José_Emilio_Furtado",
"hasGender",
"male"
],
[
"José_Emilio_Furtado",
"wasBornIn",
"Praia"
],
[
"José_Rui",
"hasGender",
"male"
],
[
"José_Rui",
"wasBornIn",
"Praia"
],
[
"Luís_Carlos_Almada_Soares",
"hasGender",
"male"
],
[
"Luís_Carlos_Almada_Soares",
"wasBornIn",
"Praia"
],
[
"Manuel_dos_Santos_Fernandes",
"hasGender",
"male"
],
[
"Manuel_dos_Santos_Fernandes",
"wasBornIn",
"Praia"
],
[
"Nando_Maria_Neves",
"hasGender",
"male"
],
[
"Nando_Maria_Neves",
"wasBornIn",
"Praia"
],
[
"Nani",
"hasGender",
"male"
],
[
"Nani",
"wasBornIn",
"Praia"
],
[
"Nelson_Mandela_International_Airport",
"isLocatedIn",
"Praia"
],
[
"Neno_(footballer)",
"hasGender",
"male"
],
[
"Neno_(footballer)",
"wasBornIn",
"Praia"
],
[
"Pedro_DeBrito",
"hasGender",
"male"
],
[
"Pedro_DeBrito",
"wasBornIn",
"Praia"
],
[
"Piguita",
"hasGender",
"male"
],
[
"Piguita",
"wasBornIn",
"Praia"
],
[
"Stopira",
"hasGender",
"male"
],
[
"Stopira",
"wasBornIn",
"Praia"
],
[
"Vinha",
"hasGender",
"male"
],
[
"Vinha",
"wasBornIn",
"Praia"
]
],
"ground_truth": [],
"gt_cost": null
} |
YAGO |
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
50916, Alien_vs._Predator_(film)
40069, Austria
100972, Casino_Royale_(2006_film)
45863, China
72048, Combat_18
111583, Czech_Republic
59545, Dungeons_&_Dragons_(film)
61995, Germany
121065, Jesus_(1999_film)
12392, Karviná_District
88275, Kosovo_War
51681, Little_Vietnam
42077, Napoléon_(miniseries)
97313, Netherlands
105773, Operation_Desert_Thunder
122711, Operation_Enduring_Freedom
11643, Ravenous
102139, Round_Rock,_Texas
67020, The_Barber_of_Siberia
12678, The_Hunchback_(1997_film)
78008, The_League_of_Extraordinary_Gentlemen_(film)
75447, The_Mists_of_Avalon_(TV_miniseries)
49447, The_Pink_Panther_(2006_film)
65425, The_Red_Baron_(film)
100654, United_Kingdom
29157, United_States
90118, Van_Helsing_(film)
116232, War_in_Afghanistan_(2001–present)
75056, War_on_Terror
src, edge_attr, dst
50916, isLocatedIn, 111583
50916, isLocatedIn, 29157
40069, dealsWith, 29157
100972, isLocatedIn, 111583
100972, isLocatedIn, 29157
45863, dealsWith, 29157
72048, isLocatedIn, 111583
72048, isLocatedIn, 29157
111583, dealsWith, 40069
111583, dealsWith, 45863
111583, dealsWith, 61995
111583, dealsWith, 97313
111583, dealsWith, 100654
111583, hasNeighbor, 61995
111583, participatedIn, 88275
111583, participatedIn, 105773
111583, participatedIn, 122711
111583, participatedIn, 116232
111583, participatedIn, 75056
59545, isLocatedIn, 111583
59545, isLocatedIn, 29157
61995, dealsWith, 29157
61995, hasNeighbor, 111583
121065, isLocatedIn, 111583
121065, isLocatedIn, 29157
12392, isLocatedIn, 111583
51681, isLocatedIn, 111583
51681, isLocatedIn, 29157
42077, isLocatedIn, 111583
42077, isLocatedIn, 29157
97313, dealsWith, 29157
11643, isLocatedIn, 111583
11643, isLocatedIn, 29157
102139, isLocatedIn, 29157
67020, isLocatedIn, 111583
67020, isLocatedIn, 29157
12678, isLocatedIn, 111583
12678, isLocatedIn, 29157
78008, isLocatedIn, 111583
78008, isLocatedIn, 29157
75447, isLocatedIn, 111583
75447, isLocatedIn, 29157
49447, isLocatedIn, 111583
49447, isLocatedIn, 29157
65425, isLocatedIn, 111583
65425, isLocatedIn, 29157
100654, dealsWith, 29157
29157, dealsWith, 45863
29157, dealsWith, 61995
29157, participatedIn, 88275
29157, participatedIn, 105773
29157, participatedIn, 122711
29157, participatedIn, 116232
29157, participatedIn, 75056
90118, isLocatedIn, 111583
90118, isLocatedIn, 29157
Question: How are Karviná_District and Round_Rock,_Texas related?
Your output must be ONLY the PATH block.
| graph_path | {
"style": "rule"
} | {
"entities": [
"Karviná_District",
"Round_Rock,_Texas"
],
"valid_edges": [
[
"Alien_vs._Predator_(film)",
"isLocatedIn",
"Czech_Republic"
],
[
"Alien_vs._Predator_(film)",
"isLocatedIn",
"United_States"
],
[
"Austria",
"dealsWith",
"United_States"
],
[
"Casino_Royale_(2006_film)",
"isLocatedIn",
"Czech_Republic"
],
[
"Casino_Royale_(2006_film)",
"isLocatedIn",
"United_States"
],
[
"China",
"dealsWith",
"United_States"
],
[
"Combat_18",
"isLocatedIn",
"Czech_Republic"
],
[
"Combat_18",
"isLocatedIn",
"United_States"
],
[
"Czech_Republic",
"dealsWith",
"Austria"
],
[
"Czech_Republic",
"dealsWith",
"China"
],
[
"Czech_Republic",
"dealsWith",
"Germany"
],
[
"Czech_Republic",
"dealsWith",
"Netherlands"
],
[
"Czech_Republic",
"dealsWith",
"United_Kingdom"
],
[
"Czech_Republic",
"hasNeighbor",
"Germany"
],
[
"Czech_Republic",
"participatedIn",
"Kosovo_War"
],
[
"Czech_Republic",
"participatedIn",
"Operation_Desert_Thunder"
],
[
"Czech_Republic",
"participatedIn",
"Operation_Enduring_Freedom"
],
[
"Czech_Republic",
"participatedIn",
"War_in_Afghanistan_(2001–present)"
],
[
"Czech_Republic",
"participatedIn",
"War_on_Terror"
],
[
"Dungeons_&_Dragons_(film)",
"isLocatedIn",
"Czech_Republic"
],
[
"Dungeons_&_Dragons_(film)",
"isLocatedIn",
"United_States"
],
[
"Germany",
"dealsWith",
"United_States"
],
[
"Germany",
"hasNeighbor",
"Czech_Republic"
],
[
"Jesus_(1999_film)",
"isLocatedIn",
"Czech_Republic"
],
[
"Jesus_(1999_film)",
"isLocatedIn",
"United_States"
],
[
"Karviná_District",
"isLocatedIn",
"Czech_Republic"
],
[
"Little_Vietnam",
"isLocatedIn",
"Czech_Republic"
],
[
"Little_Vietnam",
"isLocatedIn",
"United_States"
],
[
"Napoléon_(miniseries)",
"isLocatedIn",
"Czech_Republic"
],
[
"Napoléon_(miniseries)",
"isLocatedIn",
"United_States"
],
[
"Netherlands",
"dealsWith",
"United_States"
],
[
"Ravenous",
"isLocatedIn",
"Czech_Republic"
],
[
"Ravenous",
"isLocatedIn",
"United_States"
],
[
"Round_Rock,_Texas",
"isLocatedIn",
"United_States"
],
[
"The_Barber_of_Siberia",
"isLocatedIn",
"Czech_Republic"
],
[
"The_Barber_of_Siberia",
"isLocatedIn",
"United_States"
],
[
"The_Hunchback_(1997_film)",
"isLocatedIn",
"Czech_Republic"
],
[
"The_Hunchback_(1997_film)",
"isLocatedIn",
"United_States"
],
[
"The_League_of_Extraordinary_Gentlemen_(film)",
"isLocatedIn",
"Czech_Republic"
],
[
"The_League_of_Extraordinary_Gentlemen_(film)",
"isLocatedIn",
"United_States"
],
[
"The_Mists_of_Avalon_(TV_miniseries)",
"isLocatedIn",
"Czech_Republic"
],
[
"The_Mists_of_Avalon_(TV_miniseries)",
"isLocatedIn",
"United_States"
],
[
"The_Pink_Panther_(2006_film)",
"isLocatedIn",
"Czech_Republic"
],
[
"The_Pink_Panther_(2006_film)",
"isLocatedIn",
"United_States"
],
[
"The_Red_Baron_(film)",
"isLocatedIn",
"Czech_Republic"
],
[
"The_Red_Baron_(film)",
"isLocatedIn",
"United_States"
],
[
"United_Kingdom",
"dealsWith",
"United_States"
],
[
"United_States",
"dealsWith",
"China"
],
[
"United_States",
"dealsWith",
"Germany"
],
[
"United_States",
"participatedIn",
"Kosovo_War"
],
[
"United_States",
"participatedIn",
"Operation_Desert_Thunder"
],
[
"United_States",
"participatedIn",
"Operation_Enduring_Freedom"
],
[
"United_States",
"participatedIn",
"War_in_Afghanistan_(2001–present)"
],
[
"United_States",
"participatedIn",
"War_on_Terror"
],
[
"Van_Helsing_(film)",
"isLocatedIn",
"Czech_Republic"
],
[
"Van_Helsing_(film)",
"isLocatedIn",
"United_States"
]
],
"ground_truth": [],
"gt_cost": null
} |
YAGO |
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
79318, Bronze_Star_Medal
40597, Lee_Marvin
2852, Martin_Balsam
44367, Mitchell_(film)
48230, The_Delta_Force
src, edge_attr, dst
40597, actedIn, 48230
40597, hasWonPrize, 79318
2852, actedIn, 44367
2852, actedIn, 48230
Question: In what context are Bronze_Star_Medal and Mitchell_(film) connected?
Your output must be ONLY the PATH block.
| graph_path | {
"style": "rule"
} | {
"entities": [
"Bronze_Star_Medal",
"Mitchell_(film)"
],
"valid_edges": [
[
"Lee_Marvin",
"actedIn",
"The_Delta_Force"
],
[
"Lee_Marvin",
"hasWonPrize",
"Bronze_Star_Medal"
],
[
"Martin_Balsam",
"actedIn",
"Mitchell_(film)"
],
[
"Martin_Balsam",
"actedIn",
"The_Delta_Force"
]
],
"ground_truth": [],
"gt_cost": null
} |
YAGO |
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
46803, Antonis_Katsis
28277, Ermis_Aradippou
73437, Jasmin_Handanović
50470, Marko_Barun
67685, NK_Olimpija_Ljubljana_(defunct)
src, edge_attr, dst
46803, isAffiliatedTo, 28277
46803, playsFor, 28277
73437, isAffiliatedTo, 67685
73437, playsFor, 67685
50470, isAffiliatedTo, 28277
50470, isAffiliatedTo, 67685
50470, playsFor, 28277
50470, playsFor, 67685
Question: How are Antonis_Katsis and Jasmin_Handanović related?
Your output must be ONLY the PATH block.
| graph_path | {
"style": "rule"
} | {
"entities": [
"Antonis_Katsis",
"Jasmin_Handanović"
],
"valid_edges": [
[
"Antonis_Katsis",
"isAffiliatedTo",
"Ermis_Aradippou"
],
[
"Antonis_Katsis",
"playsFor",
"Ermis_Aradippou"
],
[
"Jasmin_Handanović",
"isAffiliatedTo",
"NK_Olimpija_Ljubljana_(defunct)"
],
[
"Jasmin_Handanović",
"playsFor",
"NK_Olimpija_Ljubljana_(defunct)"
],
[
"Marko_Barun",
"isAffiliatedTo",
"Ermis_Aradippou"
],
[
"Marko_Barun",
"isAffiliatedTo",
"NK_Olimpija_Ljubljana_(defunct)"
],
[
"Marko_Barun",
"playsFor",
"Ermis_Aradippou"
],
[
"Marko_Barun",
"playsFor",
"NK_Olimpija_Ljubljana_(defunct)"
]
],
"ground_truth": [],
"gt_cost": null
} |
YAGO |
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
94026, Ernest_Akouassaga
20789, F.C._Nantes
95143, Issam_El_Adoua
66621, Morocco_national_under-23_football_team
7854, Youness_Mokhtar
src, edge_attr, dst
94026, isAffiliatedTo, 20789
95143, isAffiliatedTo, 20789
95143, playsFor, 66621
7854, isAffiliatedTo, 66621
Question: How are Ernest_Akouassaga and Youness_Mokhtar related?
Your output must be ONLY the PATH block.
| graph_path | {
"style": "rule"
} | {
"entities": [
"Ernest_Akouassaga",
"Youness_Mokhtar"
],
"valid_edges": [
[
"Ernest_Akouassaga",
"isAffiliatedTo",
"F.C._Nantes"
],
[
"Issam_El_Adoua",
"isAffiliatedTo",
"F.C._Nantes"
],
[
"Issam_El_Adoua",
"playsFor",
"Morocco_national_under-23_football_team"
],
[
"Youness_Mokhtar",
"isAffiliatedTo",
"Morocco_national_under-23_football_team"
]
],
"ground_truth": [],
"gt_cost": null
} |
YAGO |
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
14662, A.C._Perugia_Calcio
77702, Aleksandar_Kocić
7431, Alessandro_Melli
101449, Ali_Samereh
107821, Andrea_Caracciolo
47445, Andrea_Pazzagli
68462, Andrea_Ranocchia
93154, Angelo_Di_Livio
500, Anselmo_Robbiati
11172, Antonio_Floro_Flores
26918, Antonio_Ghomsi
60158, Antonio_Manicone
115937, Bruno_Versavel
51930, Christian_Manfredini
113838, Christian_Obodo
53392, Christian_Puggioni
103440, Colin_Blakely
3670, Comunardo_Niccolai
48883, Cristian_Bucchi
11095, Cristiano_Lucarelli
70699, Daniele_Paponi
1074, Dario_Hübner
64936, Davide_Baiocco
119642, Dejan_Stefanović
21201, Dmitri_Alenichev
8277, Eusebio_Di_Francesco
66388, Fabio_Bazzani
84963, Fabio_Grosso
86662, Fabio_Liverani
16344, Fabrizio_Miccoli
67590, Fabrizio_Ravanelli
51209, Ferdinand_Coly
53340, Florian_Myrtaj
64809, Franco_Brienza
82019, Gennaro_Delvecchio
75493, Gennaro_Gattuso
83588, Giorgio_Mastropasqua
98925, Giovanni_Bia
29834, Giovanni_Cornacchini
42393, Giovanni_Tedesco
102534, Giuseppe_Dossena
1429, Giuseppe_Mascara
88469, Guglielmo_Stendardo
17700, Héctor_Tapia
1914, Ibrahim_Ba
109303, Infante_Alfonso_Carlos,_Duke_of_San_Jaime
114473, Iván_Kaviedes
110489, Jamal_Alioui
105181, Javier_de_Pedro
79515, Jay_Bothroyd
93889, Jehad_Muntasser
1792, John_Alexander_Reina_Newlands
114797, José_Marcelo_Ferreira
63155, Julien_Rantier
45345, London
18596, Lorenzo_Squizzi
9262, Luca_Bucci
27876, Luca_Saudati
22435, Ma_Mingyu
87275, Manuele_Blasi
108613, Marc_Emmers
45843, Marcello_Castellini
31763, Marcelo_Zalayeta
97241, Marco_Ferrante
115260, Marco_Materazzi
63391, Marco_Negri
77297, Marco_Storari
121690, Massimiliano_Allegri
7956, Massimo_Lombardo
121959, Massimo_Margiotta
67217, Mauro_Milanese
101144, Michel_Kreek
42656, Milan_Rapaić
20602, Müller_(footballer)
3054, Nicola_Amoruso
110521, Nicolás_Córdova
24637, Orlando_Urbano
108057, Paolo_Rossi
95155, Pasquale_Rocco
76335, Paul_Codrea
96910, Paulo_da_Silva
30394, Perugia_Calcio
120119, Petter_Rudi
66772, Pierpaolo_Bisoli
24721, Renato_Curi
22573, Roberto_Baronio
20468, S.S.D._Piacenza_Calcio_1919
120432, Salvatore_Bagni
58765, Salvatore_Fresi
109676, Sebastiano_Rossi
48455, Silvio_Spann
15988, Souleymane_Diamoutene
102522, Thomas_Thorninger
52064, Tomislav_Erceg
47431, Tonino_Sorrentino
106638, Zlatan_Muslimović
87049, Óscar_Córdoba
src, edge_attr, dst
77702, isAffiliatedTo, 14662
77702, isAffiliatedTo, 30394
77702, playsFor, 14662
7431, isAffiliatedTo, 14662
7431, isAffiliatedTo, 30394
7431, playsFor, 14662
101449, isAffiliatedTo, 14662
101449, isAffiliatedTo, 30394
101449, playsFor, 14662
107821, isAffiliatedTo, 14662
107821, isAffiliatedTo, 30394
107821, playsFor, 14662
47445, isAffiliatedTo, 14662
47445, isAffiliatedTo, 30394
47445, playsFor, 14662
68462, isAffiliatedTo, 14662
68462, isAffiliatedTo, 30394
93154, isAffiliatedTo, 14662
93154, isAffiliatedTo, 30394
93154, playsFor, 14662
500, isAffiliatedTo, 14662
500, isAffiliatedTo, 30394
500, playsFor, 14662
11172, isAffiliatedTo, 14662
11172, isAffiliatedTo, 30394
11172, playsFor, 14662
26918, isAffiliatedTo, 14662
26918, isAffiliatedTo, 30394
26918, playsFor, 14662
60158, isAffiliatedTo, 30394
60158, playsFor, 14662
115937, isAffiliatedTo, 14662
115937, isAffiliatedTo, 30394
115937, playsFor, 14662
51930, isAffiliatedTo, 14662
51930, isAffiliatedTo, 30394
51930, playsFor, 14662
113838, isAffiliatedTo, 14662
113838, isAffiliatedTo, 30394
113838, playsFor, 14662
53392, isAffiliatedTo, 14662
53392, isAffiliatedTo, 20468
53392, playsFor, 14662
53392, playsFor, 20468
103440, diedIn, 45345
3670, isAffiliatedTo, 14662
3670, isAffiliatedTo, 30394
3670, playsFor, 14662
48883, isAffiliatedTo, 14662
48883, isAffiliatedTo, 30394
48883, playsFor, 14662
11095, isAffiliatedTo, 14662
11095, isAffiliatedTo, 30394
11095, playsFor, 14662
70699, isAffiliatedTo, 14662
70699, isAffiliatedTo, 30394
70699, playsFor, 14662
1074, isAffiliatedTo, 14662
1074, isAffiliatedTo, 30394
1074, isAffiliatedTo, 20468
1074, playsFor, 14662
1074, playsFor, 20468
64936, isAffiliatedTo, 14662
64936, isAffiliatedTo, 30394
64936, isAffiliatedTo, 20468
64936, playsFor, 14662
64936, playsFor, 20468
119642, isAffiliatedTo, 14662
119642, isAffiliatedTo, 30394
119642, playsFor, 14662
21201, isAffiliatedTo, 14662
21201, isAffiliatedTo, 30394
21201, playsFor, 14662
8277, isAffiliatedTo, 14662
8277, isAffiliatedTo, 30394
8277, isAffiliatedTo, 20468
8277, playsFor, 14662
8277, playsFor, 20468
66388, isAffiliatedTo, 14662
66388, isAffiliatedTo, 30394
66388, playsFor, 14662
84963, isAffiliatedTo, 14662
84963, isAffiliatedTo, 30394
84963, playsFor, 14662
86662, isAffiliatedTo, 14662
86662, isAffiliatedTo, 30394
86662, playsFor, 14662
16344, isAffiliatedTo, 14662
16344, isAffiliatedTo, 30394
16344, playsFor, 14662
67590, isAffiliatedTo, 14662
67590, isAffiliatedTo, 30394
67590, playsFor, 14662
51209, isAffiliatedTo, 14662
51209, isAffiliatedTo, 30394
51209, playsFor, 14662
53340, isAffiliatedTo, 14662
53340, isAffiliatedTo, 30394
53340, playsFor, 14662
64809, isAffiliatedTo, 14662
64809, isAffiliatedTo, 30394
64809, playsFor, 14662
82019, isAffiliatedTo, 14662
82019, isAffiliatedTo, 30394
82019, playsFor, 14662
75493, isAffiliatedTo, 14662
75493, isAffiliatedTo, 30394
75493, playsFor, 14662
83588, playsFor, 14662
83588, playsFor, 20468
98925, isAffiliatedTo, 14662
98925, isAffiliatedTo, 30394
98925, playsFor, 14662
29834, playsFor, 14662
29834, playsFor, 20468
42393, isAffiliatedTo, 14662
42393, isAffiliatedTo, 30394
42393, playsFor, 14662
102534, isAffiliatedTo, 14662
102534, isAffiliatedTo, 30394
102534, playsFor, 14662
1429, isAffiliatedTo, 14662
1429, isAffiliatedTo, 30394
1429, playsFor, 14662
88469, isAffiliatedTo, 14662
88469, isAffiliatedTo, 30394
88469, playsFor, 14662
17700, isAffiliatedTo, 14662
17700, isAffiliatedTo, 30394
17700, playsFor, 14662
1914, isAffiliatedTo, 14662
1914, isAffiliatedTo, 30394
1914, playsFor, 14662
109303, playsFor, 20468
109303, wasBornIn, 45345
114473, isAffiliatedTo, 14662
114473, isAffiliatedTo, 30394
114473, playsFor, 14662
110489, isAffiliatedTo, 14662
110489, isAffiliatedTo, 30394
110489, playsFor, 14662
105181, isAffiliatedTo, 14662
105181, isAffiliatedTo, 30394
105181, playsFor, 14662
79515, isAffiliatedTo, 14662
79515, isAffiliatedTo, 30394
79515, playsFor, 14662
79515, wasBornIn, 45345
93889, isAffiliatedTo, 14662
93889, isAffiliatedTo, 30394
93889, playsFor, 14662
1792, playsFor, 20468
1792, wasBornIn, 45345
114797, isAffiliatedTo, 14662
114797, isAffiliatedTo, 30394
114797, playsFor, 14662
63155, isAffiliatedTo, 14662
63155, isAffiliatedTo, 20468
63155, playsFor, 14662
63155, playsFor, 20468
18596, isAffiliatedTo, 14662
18596, isAffiliatedTo, 30394
18596, playsFor, 14662
9262, isAffiliatedTo, 14662
9262, isAffiliatedTo, 30394
9262, playsFor, 14662
27876, isAffiliatedTo, 14662
27876, isAffiliatedTo, 30394
27876, playsFor, 14662
22435, isAffiliatedTo, 14662
22435, isAffiliatedTo, 30394
22435, playsFor, 14662
87275, isAffiliatedTo, 14662
87275, isAffiliatedTo, 30394
87275, playsFor, 14662
108613, isAffiliatedTo, 14662
108613, isAffiliatedTo, 30394
108613, playsFor, 14662
45843, isAffiliatedTo, 14662
45843, isAffiliatedTo, 30394
45843, playsFor, 14662
31763, isAffiliatedTo, 14662
31763, isAffiliatedTo, 30394
31763, playsFor, 14662
97241, isAffiliatedTo, 14662
97241, isAffiliatedTo, 30394
97241, isAffiliatedTo, 20468
97241, playsFor, 14662
97241, playsFor, 20468
115260, isAffiliatedTo, 14662
115260, isAffiliatedTo, 30394
115260, playsFor, 14662
63391, isAffiliatedTo, 14662
63391, isAffiliatedTo, 30394
63391, playsFor, 14662
77297, isAffiliatedTo, 14662
77297, isAffiliatedTo, 30394
121690, isAffiliatedTo, 14662
121690, isAffiliatedTo, 30394
121690, playsFor, 14662
7956, isAffiliatedTo, 30394
7956, playsFor, 14662
121959, isAffiliatedTo, 14662
121959, isAffiliatedTo, 30394
121959, isAffiliatedTo, 20468
121959, playsFor, 14662
121959, playsFor, 20468
67217, isAffiliatedTo, 14662
67217, isAffiliatedTo, 30394
67217, playsFor, 14662
101144, isAffiliatedTo, 14662
101144, isAffiliatedTo, 30394
101144, playsFor, 14662
42656, isAffiliatedTo, 14662
42656, isAffiliatedTo, 30394
42656, playsFor, 14662
20602, isAffiliatedTo, 14662
20602, isAffiliatedTo, 30394
20602, playsFor, 14662
3054, isAffiliatedTo, 14662
3054, isAffiliatedTo, 30394
3054, playsFor, 14662
110521, isAffiliatedTo, 14662
110521, isAffiliatedTo, 30394
110521, playsFor, 14662
24637, isAffiliatedTo, 14662
24637, isAffiliatedTo, 30394
24637, playsFor, 14662
108057, isAffiliatedTo, 14662
108057, isAffiliatedTo, 30394
108057, playsFor, 14662
95155, isAffiliatedTo, 30394
95155, playsFor, 14662
76335, isAffiliatedTo, 14662
76335, isAffiliatedTo, 30394
76335, playsFor, 14662
96910, isAffiliatedTo, 14662
96910, isAffiliatedTo, 30394
96910, playsFor, 14662
120119, isAffiliatedTo, 14662
120119, isAffiliatedTo, 30394
120119, playsFor, 14662
66772, isAffiliatedTo, 14662
66772, isAffiliatedTo, 30394
66772, playsFor, 14662
24721, isAffiliatedTo, 14662
24721, isAffiliatedTo, 30394
24721, playsFor, 14662
22573, isAffiliatedTo, 14662
22573, isAffiliatedTo, 30394
22573, playsFor, 14662
120432, isAffiliatedTo, 14662
120432, isAffiliatedTo, 30394
120432, playsFor, 14662
58765, isAffiliatedTo, 14662
58765, isAffiliatedTo, 30394
58765, playsFor, 14662
109676, isAffiliatedTo, 14662
109676, isAffiliatedTo, 30394
109676, playsFor, 14662
48455, isAffiliatedTo, 14662
48455, isAffiliatedTo, 30394
48455, playsFor, 14662
15988, isAffiliatedTo, 14662
15988, isAffiliatedTo, 30394
15988, playsFor, 14662
102522, isAffiliatedTo, 14662
102522, isAffiliatedTo, 30394
102522, playsFor, 14662
52064, isAffiliatedTo, 14662
52064, isAffiliatedTo, 30394
52064, playsFor, 14662
47431, isAffiliatedTo, 14662
47431, isAffiliatedTo, 30394
47431, playsFor, 14662
106638, isAffiliatedTo, 14662
106638, isAffiliatedTo, 30394
106638, playsFor, 14662
87049, isAffiliatedTo, 14662
87049, isAffiliatedTo, 30394
87049, playsFor, 14662
Question: How are Colin_Blakely and Dario_Hübner related?
Your output must be ONLY the PATH block.
| graph_path | {
"style": "rule"
} | {
"entities": [
"Colin_Blakely",
"Dario_Hübner"
],
"valid_edges": [
[
"Aleksandar_Kocić",
"isAffiliatedTo",
"A.C._Perugia_Calcio"
],
[
"Aleksandar_Kocić",
"isAffiliatedTo",
"Perugia_Calcio"
],
[
"Aleksandar_Kocić",
"playsFor",
"A.C._Perugia_Calcio"
],
[
"Alessandro_Melli",
"isAffiliatedTo",
"A.C._Perugia_Calcio"
],
[
"Alessandro_Melli",
"isAffiliatedTo",
"Perugia_Calcio"
],
[
"Alessandro_Melli",
"playsFor",
"A.C._Perugia_Calcio"
],
[
"Ali_Samereh",
"isAffiliatedTo",
"A.C._Perugia_Calcio"
],
[
"Ali_Samereh",
"isAffiliatedTo",
"Perugia_Calcio"
],
[
"Ali_Samereh",
"playsFor",
"A.C._Perugia_Calcio"
],
[
"Andrea_Caracciolo",
"isAffiliatedTo",
"A.C._Perugia_Calcio"
],
[
"Andrea_Caracciolo",
"isAffiliatedTo",
"Perugia_Calcio"
],
[
"Andrea_Caracciolo",
"playsFor",
"A.C._Perugia_Calcio"
],
[
"Andrea_Pazzagli",
"isAffiliatedTo",
"A.C._Perugia_Calcio"
],
[
"Andrea_Pazzagli",
"isAffiliatedTo",
"Perugia_Calcio"
],
[
"Andrea_Pazzagli",
"playsFor",
"A.C._Perugia_Calcio"
],
[
"Andrea_Ranocchia",
"isAffiliatedTo",
"A.C._Perugia_Calcio"
],
[
"Andrea_Ranocchia",
"isAffiliatedTo",
"Perugia_Calcio"
],
[
"Angelo_Di_Livio",
"isAffiliatedTo",
"A.C._Perugia_Calcio"
],
[
"Angelo_Di_Livio",
"isAffiliatedTo",
"Perugia_Calcio"
],
[
"Angelo_Di_Livio",
"playsFor",
"A.C._Perugia_Calcio"
],
[
"Anselmo_Robbiati",
"isAffiliatedTo",
"A.C._Perugia_Calcio"
],
[
"Anselmo_Robbiati",
"isAffiliatedTo",
"Perugia_Calcio"
],
[
"Anselmo_Robbiati",
"playsFor",
"A.C._Perugia_Calcio"
],
[
"Antonio_Floro_Flores",
"isAffiliatedTo",
"A.C._Perugia_Calcio"
],
[
"Antonio_Floro_Flores",
"isAffiliatedTo",
"Perugia_Calcio"
],
[
"Antonio_Floro_Flores",
"playsFor",
"A.C._Perugia_Calcio"
],
[
"Antonio_Ghomsi",
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"A.C._Perugia_Calcio"
],
[
"Antonio_Ghomsi",
"isAffiliatedTo",
"Perugia_Calcio"
],
[
"Antonio_Ghomsi",
"playsFor",
"A.C._Perugia_Calcio"
],
[
"Antonio_Manicone",
"isAffiliatedTo",
"Perugia_Calcio"
],
[
"Antonio_Manicone",
"playsFor",
"A.C._Perugia_Calcio"
],
[
"Bruno_Versavel",
"isAffiliatedTo",
"A.C._Perugia_Calcio"
],
[
"Bruno_Versavel",
"isAffiliatedTo",
"Perugia_Calcio"
],
[
"Bruno_Versavel",
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"A.C._Perugia_Calcio"
],
[
"Christian_Manfredini",
"isAffiliatedTo",
"A.C._Perugia_Calcio"
],
[
"Christian_Manfredini",
"isAffiliatedTo",
"Perugia_Calcio"
],
[
"Christian_Manfredini",
"playsFor",
"A.C._Perugia_Calcio"
],
[
"Christian_Obodo",
"isAffiliatedTo",
"A.C._Perugia_Calcio"
],
[
"Christian_Obodo",
"isAffiliatedTo",
"Perugia_Calcio"
],
[
"Christian_Obodo",
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"A.C._Perugia_Calcio"
],
[
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"A.C._Perugia_Calcio"
],
[
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"isAffiliatedTo",
"S.S.D._Piacenza_Calcio_1919"
],
[
"Christian_Puggioni",
"playsFor",
"A.C._Perugia_Calcio"
],
[
"Christian_Puggioni",
"playsFor",
"S.S.D._Piacenza_Calcio_1919"
],
[
"Colin_Blakely",
"diedIn",
"London"
],
[
"Comunardo_Niccolai",
"isAffiliatedTo",
"A.C._Perugia_Calcio"
],
[
"Comunardo_Niccolai",
"isAffiliatedTo",
"Perugia_Calcio"
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[
"Comunardo_Niccolai",
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[
"Cristian_Bucchi",
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"A.C._Perugia_Calcio"
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[
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"Perugia_Calcio"
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[
"Cristian_Bucchi",
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"A.C._Perugia_Calcio"
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[
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"A.C._Perugia_Calcio"
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[
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"Perugia_Calcio"
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[
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[
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[
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],
[
"Daniele_Paponi",
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"A.C._Perugia_Calcio"
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[
"Dario_Hübner",
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"A.C._Perugia_Calcio"
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[
"Dario_Hübner",
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"Dario_Hübner",
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"S.S.D._Piacenza_Calcio_1919"
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[
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"A.C._Perugia_Calcio"
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[
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"A.C._Perugia_Calcio"
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[
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"isAffiliatedTo",
"Perugia_Calcio"
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[
"Davide_Baiocco",
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"S.S.D._Piacenza_Calcio_1919"
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[
"Davide_Baiocco",
"playsFor",
"A.C._Perugia_Calcio"
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[
"Davide_Baiocco",
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"S.S.D._Piacenza_Calcio_1919"
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[
"Dejan_Stefanović",
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"A.C._Perugia_Calcio"
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"Dejan_Stefanović",
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"Perugia_Calcio"
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"A.C._Perugia_Calcio"
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"Dmitri_Alenichev",
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"Perugia_Calcio"
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"Dmitri_Alenichev",
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"A.C._Perugia_Calcio"
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[
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"S.S.D._Piacenza_Calcio_1919"
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"Fabio_Bazzani",
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"A.C._Perugia_Calcio"
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"Fabio_Bazzani",
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"Perugia_Calcio"
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"Fabio_Liverani",
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[
"Fabio_Liverani",
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[
"Fabrizio_Ravanelli",
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"Perugia_Calcio"
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[
"Fabrizio_Ravanelli",
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"A.C._Perugia_Calcio"
],
[
"Ferdinand_Coly",
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"A.C._Perugia_Calcio"
],
[
"Ferdinand_Coly",
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"Perugia_Calcio"
],
[
"Ferdinand_Coly",
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"A.C._Perugia_Calcio"
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[
"Florian_Myrtaj",
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[
"Florian_Myrtaj",
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"Perugia_Calcio"
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"Florian_Myrtaj",
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"A.C._Perugia_Calcio"
],
[
"Franco_Brienza",
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"A.C._Perugia_Calcio"
],
[
"Franco_Brienza",
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"Perugia_Calcio"
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[
"Franco_Brienza",
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[
"Gennaro_Delvecchio",
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"A.C._Perugia_Calcio"
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"Gennaro_Delvecchio",
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"Perugia_Calcio"
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"Gennaro_Delvecchio",
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[
"Gennaro_Gattuso",
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"A.C._Perugia_Calcio"
],
[
"Gennaro_Gattuso",
"isAffiliatedTo",
"Perugia_Calcio"
],
[
"Gennaro_Gattuso",
"playsFor",
"A.C._Perugia_Calcio"
],
[
"Giorgio_Mastropasqua",
"playsFor",
"A.C._Perugia_Calcio"
],
[
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"S.S.D._Piacenza_Calcio_1919"
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[
"Giovanni_Bia",
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"A.C._Perugia_Calcio"
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[
"Giovanni_Bia",
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"Perugia_Calcio"
],
[
"Giovanni_Bia",
"playsFor",
"A.C._Perugia_Calcio"
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[
"Giovanni_Cornacchini",
"playsFor",
"A.C._Perugia_Calcio"
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[
"Giovanni_Cornacchini",
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"S.S.D._Piacenza_Calcio_1919"
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[
"Giovanni_Tedesco",
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"A.C._Perugia_Calcio"
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[
"Giovanni_Tedesco",
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"Perugia_Calcio"
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"Giuseppe_Dossena",
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"A.C._Perugia_Calcio"
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[
"Giuseppe_Dossena",
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"Perugia_Calcio"
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[
"Giuseppe_Dossena",
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"A.C._Perugia_Calcio"
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[
"Giuseppe_Mascara",
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"A.C._Perugia_Calcio"
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[
"Giuseppe_Mascara",
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"Perugia_Calcio"
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"Giuseppe_Mascara",
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"Guglielmo_Stendardo",
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"Perugia_Calcio"
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"Infante_Alfonso_Carlos,_Duke_of_San_Jaime",
"wasBornIn",
"London"
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[
"Iván_Kaviedes",
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"A.C._Perugia_Calcio"
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"Iván_Kaviedes",
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"Javier_de_Pedro",
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"Javier_de_Pedro",
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"Jay_Bothroyd",
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"London"
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[
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[
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"John_Alexander_Reina_Newlands",
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"José_Marcelo_Ferreira",
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"A.C._Perugia_Calcio"
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[
"José_Marcelo_Ferreira",
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"Perugia_Calcio"
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[
"José_Marcelo_Ferreira",
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"A.C._Perugia_Calcio"
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[
"Julien_Rantier",
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"A.C._Perugia_Calcio"
],
[
"Julien_Rantier",
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"S.S.D._Piacenza_Calcio_1919"
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"Julien_Rantier",
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"Lorenzo_Squizzi",
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"Perugia_Calcio"
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[
"Lorenzo_Squizzi",
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[
"Luca_Bucci",
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[
"Luca_Bucci",
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[
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[
"Ma_Mingyu",
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[
"Ma_Mingyu",
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"Perugia_Calcio"
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"Ma_Mingyu",
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"Marc_Emmers",
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"A.C._Perugia_Calcio"
],
[
"Marc_Emmers",
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"Perugia_Calcio"
],
[
"Marc_Emmers",
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"A.C._Perugia_Calcio"
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"A.C._Perugia_Calcio"
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[
"Marcello_Castellini",
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[
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"A.C._Perugia_Calcio"
],
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],
[
"Marcelo_Zalayeta",
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"Perugia_Calcio"
],
[
"Marcelo_Zalayeta",
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"A.C._Perugia_Calcio"
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[
"Marco_Ferrante",
"isAffiliatedTo",
"A.C._Perugia_Calcio"
],
[
"Marco_Ferrante",
"isAffiliatedTo",
"Perugia_Calcio"
],
[
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"S.S.D._Piacenza_Calcio_1919"
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[
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[
"Marco_Ferrante",
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"S.S.D._Piacenza_Calcio_1919"
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[
"Marco_Materazzi",
"isAffiliatedTo",
"A.C._Perugia_Calcio"
],
[
"Marco_Materazzi",
"isAffiliatedTo",
"Perugia_Calcio"
],
[
"Marco_Materazzi",
"playsFor",
"A.C._Perugia_Calcio"
],
[
"Marco_Negri",
"isAffiliatedTo",
"A.C._Perugia_Calcio"
],
[
"Marco_Negri",
"isAffiliatedTo",
"Perugia_Calcio"
],
[
"Marco_Negri",
"playsFor",
"A.C._Perugia_Calcio"
],
[
"Marco_Storari",
"isAffiliatedTo",
"A.C._Perugia_Calcio"
],
[
"Marco_Storari",
"isAffiliatedTo",
"Perugia_Calcio"
],
[
"Massimiliano_Allegri",
"isAffiliatedTo",
"A.C._Perugia_Calcio"
],
[
"Massimiliano_Allegri",
"isAffiliatedTo",
"Perugia_Calcio"
],
[
"Massimiliano_Allegri",
"playsFor",
"A.C._Perugia_Calcio"
],
[
"Massimo_Lombardo",
"isAffiliatedTo",
"Perugia_Calcio"
],
[
"Massimo_Lombardo",
"playsFor",
"A.C._Perugia_Calcio"
],
[
"Massimo_Margiotta",
"isAffiliatedTo",
"A.C._Perugia_Calcio"
],
[
"Massimo_Margiotta",
"isAffiliatedTo",
"Perugia_Calcio"
],
[
"Massimo_Margiotta",
"isAffiliatedTo",
"S.S.D._Piacenza_Calcio_1919"
],
[
"Massimo_Margiotta",
"playsFor",
"A.C._Perugia_Calcio"
],
[
"Massimo_Margiotta",
"playsFor",
"S.S.D._Piacenza_Calcio_1919"
],
[
"Mauro_Milanese",
"isAffiliatedTo",
"A.C._Perugia_Calcio"
],
[
"Mauro_Milanese",
"isAffiliatedTo",
"Perugia_Calcio"
],
[
"Mauro_Milanese",
"playsFor",
"A.C._Perugia_Calcio"
],
[
"Michel_Kreek",
"isAffiliatedTo",
"A.C._Perugia_Calcio"
],
[
"Michel_Kreek",
"isAffiliatedTo",
"Perugia_Calcio"
],
[
"Michel_Kreek",
"playsFor",
"A.C._Perugia_Calcio"
],
[
"Milan_Rapaić",
"isAffiliatedTo",
"A.C._Perugia_Calcio"
],
[
"Milan_Rapaić",
"isAffiliatedTo",
"Perugia_Calcio"
],
[
"Milan_Rapaić",
"playsFor",
"A.C._Perugia_Calcio"
],
[
"Müller_(footballer)",
"isAffiliatedTo",
"A.C._Perugia_Calcio"
],
[
"Müller_(footballer)",
"isAffiliatedTo",
"Perugia_Calcio"
],
[
"Müller_(footballer)",
"playsFor",
"A.C._Perugia_Calcio"
],
[
"Nicola_Amoruso",
"isAffiliatedTo",
"A.C._Perugia_Calcio"
],
[
"Nicola_Amoruso",
"isAffiliatedTo",
"Perugia_Calcio"
],
[
"Nicola_Amoruso",
"playsFor",
"A.C._Perugia_Calcio"
],
[
"Nicolás_Córdova",
"isAffiliatedTo",
"A.C._Perugia_Calcio"
],
[
"Nicolás_Córdova",
"isAffiliatedTo",
"Perugia_Calcio"
],
[
"Nicolás_Córdova",
"playsFor",
"A.C._Perugia_Calcio"
],
[
"Orlando_Urbano",
"isAffiliatedTo",
"A.C._Perugia_Calcio"
],
[
"Orlando_Urbano",
"isAffiliatedTo",
"Perugia_Calcio"
],
[
"Orlando_Urbano",
"playsFor",
"A.C._Perugia_Calcio"
],
[
"Paolo_Rossi",
"isAffiliatedTo",
"A.C._Perugia_Calcio"
],
[
"Paolo_Rossi",
"isAffiliatedTo",
"Perugia_Calcio"
],
[
"Paolo_Rossi",
"playsFor",
"A.C._Perugia_Calcio"
],
[
"Pasquale_Rocco",
"isAffiliatedTo",
"Perugia_Calcio"
],
[
"Pasquale_Rocco",
"playsFor",
"A.C._Perugia_Calcio"
],
[
"Paul_Codrea",
"isAffiliatedTo",
"A.C._Perugia_Calcio"
],
[
"Paul_Codrea",
"isAffiliatedTo",
"Perugia_Calcio"
],
[
"Paul_Codrea",
"playsFor",
"A.C._Perugia_Calcio"
],
[
"Paulo_da_Silva",
"isAffiliatedTo",
"A.C._Perugia_Calcio"
],
[
"Paulo_da_Silva",
"isAffiliatedTo",
"Perugia_Calcio"
],
[
"Paulo_da_Silva",
"playsFor",
"A.C._Perugia_Calcio"
],
[
"Petter_Rudi",
"isAffiliatedTo",
"A.C._Perugia_Calcio"
],
[
"Petter_Rudi",
"isAffiliatedTo",
"Perugia_Calcio"
],
[
"Petter_Rudi",
"playsFor",
"A.C._Perugia_Calcio"
],
[
"Pierpaolo_Bisoli",
"isAffiliatedTo",
"A.C._Perugia_Calcio"
],
[
"Pierpaolo_Bisoli",
"isAffiliatedTo",
"Perugia_Calcio"
],
[
"Pierpaolo_Bisoli",
"playsFor",
"A.C._Perugia_Calcio"
],
[
"Renato_Curi",
"isAffiliatedTo",
"A.C._Perugia_Calcio"
],
[
"Renato_Curi",
"isAffiliatedTo",
"Perugia_Calcio"
],
[
"Renato_Curi",
"playsFor",
"A.C._Perugia_Calcio"
],
[
"Roberto_Baronio",
"isAffiliatedTo",
"A.C._Perugia_Calcio"
],
[
"Roberto_Baronio",
"isAffiliatedTo",
"Perugia_Calcio"
],
[
"Roberto_Baronio",
"playsFor",
"A.C._Perugia_Calcio"
],
[
"Salvatore_Bagni",
"isAffiliatedTo",
"A.C._Perugia_Calcio"
],
[
"Salvatore_Bagni",
"isAffiliatedTo",
"Perugia_Calcio"
],
[
"Salvatore_Bagni",
"playsFor",
"A.C._Perugia_Calcio"
],
[
"Salvatore_Fresi",
"isAffiliatedTo",
"A.C._Perugia_Calcio"
],
[
"Salvatore_Fresi",
"isAffiliatedTo",
"Perugia_Calcio"
],
[
"Salvatore_Fresi",
"playsFor",
"A.C._Perugia_Calcio"
],
[
"Sebastiano_Rossi",
"isAffiliatedTo",
"A.C._Perugia_Calcio"
],
[
"Sebastiano_Rossi",
"isAffiliatedTo",
"Perugia_Calcio"
],
[
"Sebastiano_Rossi",
"playsFor",
"A.C._Perugia_Calcio"
],
[
"Silvio_Spann",
"isAffiliatedTo",
"A.C._Perugia_Calcio"
],
[
"Silvio_Spann",
"isAffiliatedTo",
"Perugia_Calcio"
],
[
"Silvio_Spann",
"playsFor",
"A.C._Perugia_Calcio"
],
[
"Souleymane_Diamoutene",
"isAffiliatedTo",
"A.C._Perugia_Calcio"
],
[
"Souleymane_Diamoutene",
"isAffiliatedTo",
"Perugia_Calcio"
],
[
"Souleymane_Diamoutene",
"playsFor",
"A.C._Perugia_Calcio"
],
[
"Thomas_Thorninger",
"isAffiliatedTo",
"A.C._Perugia_Calcio"
],
[
"Thomas_Thorninger",
"isAffiliatedTo",
"Perugia_Calcio"
],
[
"Thomas_Thorninger",
"playsFor",
"A.C._Perugia_Calcio"
],
[
"Tomislav_Erceg",
"isAffiliatedTo",
"A.C._Perugia_Calcio"
],
[
"Tomislav_Erceg",
"isAffiliatedTo",
"Perugia_Calcio"
],
[
"Tomislav_Erceg",
"playsFor",
"A.C._Perugia_Calcio"
],
[
"Tonino_Sorrentino",
"isAffiliatedTo",
"A.C._Perugia_Calcio"
],
[
"Tonino_Sorrentino",
"isAffiliatedTo",
"Perugia_Calcio"
],
[
"Tonino_Sorrentino",
"playsFor",
"A.C._Perugia_Calcio"
],
[
"Zlatan_Muslimović",
"isAffiliatedTo",
"A.C._Perugia_Calcio"
],
[
"Zlatan_Muslimović",
"isAffiliatedTo",
"Perugia_Calcio"
],
[
"Zlatan_Muslimović",
"playsFor",
"A.C._Perugia_Calcio"
],
[
"Óscar_Córdoba",
"isAffiliatedTo",
"A.C._Perugia_Calcio"
],
[
"Óscar_Córdoba",
"isAffiliatedTo",
"Perugia_Calcio"
],
[
"Óscar_Córdoba",
"playsFor",
"A.C._Perugia_Calcio"
]
],
"ground_truth": [],
"gt_cost": null
} |
YAGO |
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
76681, Denis_Cheryshev
86580, Dmitri_Tarasov_(footballer)
115204, Javi_Navarro
28374, Russia_national_under-21_football_team
56768, Sevilla_F.C.
src, edge_attr, dst
76681, isAffiliatedTo, 28374
76681, isAffiliatedTo, 56768
86580, isAffiliatedTo, 28374
86580, playsFor, 28374
115204, isAffiliatedTo, 56768
Question: How are Dmitri_Tarasov_(footballer) and Javi_Navarro related?
Your output must be ONLY the PATH block.
| graph_path | {
"style": "rule"
} | {
"entities": [
"Dmitri_Tarasov_(footballer)",
"Javi_Navarro"
],
"valid_edges": [
[
"Denis_Cheryshev",
"isAffiliatedTo",
"Russia_national_under-21_football_team"
],
[
"Denis_Cheryshev",
"isAffiliatedTo",
"Sevilla_F.C."
],
[
"Dmitri_Tarasov_(footballer)",
"isAffiliatedTo",
"Russia_national_under-21_football_team"
],
[
"Dmitri_Tarasov_(footballer)",
"playsFor",
"Russia_national_under-21_football_team"
],
[
"Javi_Navarro",
"isAffiliatedTo",
"Sevilla_F.C."
]
],
"ground_truth": [],
"gt_cost": null
} |
YAGO |
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
84768, Auburn_Hills,_Michigan
69684, Detroit_Pistons
30971, Detroit_Shock
112440, Ebenezer_O._Grosvenor
105270, Edmund_Burke_Fairfield
72695, George_W._Romney
100489, Ken_Holland
51555, Michigan
84912, Oakland_University
77180, Ozéia_de_Paula_Maciel
117076, Rick_Snyder
17222, The_Palace_of_Auburn_Hills
29157, United_States
118104, male
src, edge_attr, dst
84768, isLocatedIn, 51555
84768, isLocatedIn, 29157
69684, isLocatedIn, 84768
69684, isLocatedIn, 51555
30971, isLocatedIn, 84768
30971, isLocatedIn, 51555
112440, hasGender, 118104
112440, isPoliticianOf, 51555
105270, hasGender, 118104
105270, isPoliticianOf, 51555
72695, hasGender, 118104
72695, isPoliticianOf, 51555
100489, hasGender, 118104
100489, livesIn, 51555
51555, isLocatedIn, 29157
84912, isLocatedIn, 84768
84912, isLocatedIn, 51555
77180, hasGender, 118104
117076, hasGender, 118104
117076, isPoliticianOf, 51555
117076, livesIn, 51555
17222, isLocatedIn, 84768
17222, isLocatedIn, 51555
Question: How are Detroit_Shock and Ozéia_de_Paula_Maciel related?
Your output must be ONLY the PATH block.
| graph_path | {
"style": "rule"
} | {
"entities": [
"Detroit_Shock",
"Ozéia_de_Paula_Maciel"
],
"valid_edges": [
[
"Auburn_Hills,_Michigan",
"isLocatedIn",
"Michigan"
],
[
"Auburn_Hills,_Michigan",
"isLocatedIn",
"United_States"
],
[
"Detroit_Pistons",
"isLocatedIn",
"Auburn_Hills,_Michigan"
],
[
"Detroit_Pistons",
"isLocatedIn",
"Michigan"
],
[
"Detroit_Shock",
"isLocatedIn",
"Auburn_Hills,_Michigan"
],
[
"Detroit_Shock",
"isLocatedIn",
"Michigan"
],
[
"Ebenezer_O._Grosvenor",
"hasGender",
"male"
],
[
"Ebenezer_O._Grosvenor",
"isPoliticianOf",
"Michigan"
],
[
"Edmund_Burke_Fairfield",
"hasGender",
"male"
],
[
"Edmund_Burke_Fairfield",
"isPoliticianOf",
"Michigan"
],
[
"George_W._Romney",
"hasGender",
"male"
],
[
"George_W._Romney",
"isPoliticianOf",
"Michigan"
],
[
"Ken_Holland",
"hasGender",
"male"
],
[
"Ken_Holland",
"livesIn",
"Michigan"
],
[
"Michigan",
"isLocatedIn",
"United_States"
],
[
"Oakland_University",
"isLocatedIn",
"Auburn_Hills,_Michigan"
],
[
"Oakland_University",
"isLocatedIn",
"Michigan"
],
[
"Ozéia_de_Paula_Maciel",
"hasGender",
"male"
],
[
"Rick_Snyder",
"hasGender",
"male"
],
[
"Rick_Snyder",
"isPoliticianOf",
"Michigan"
],
[
"Rick_Snyder",
"livesIn",
"Michigan"
],
[
"The_Palace_of_Auburn_Hills",
"isLocatedIn",
"Auburn_Hills,_Michigan"
],
[
"The_Palace_of_Auburn_Hills",
"isLocatedIn",
"Michigan"
]
],
"ground_truth": [],
"gt_cost": null
} |
YAGO |
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
47289, Aidey_Thorpe
110875, Alan_Mayes
61613, Alan_O'Brien
38017, Allan_Smart
74339, Anders_Jacobsen_(footballer)
106694, Andy_Preece
23615, Barry_Siddall
55996, Bas_Savage
118116, Ben_Marshall
39078, Bill_Ridding
117933, Bob_Hatton
80004, Bobby_Hutchinson
8933, Carl_Heggs
96699, Carlisle_United_F.C.
9771, Chris_Freestone
75184, Chris_Greenacre
5429, Chris_McCready
110247, Craig_Curran
74972, Craig_Russell_(footballer)
60450, Dariusz_Kubicki
103393, Dave_Burgess_(footballer)
38312, Dave_Miller_(footballer_born_1964)
111542, Dave_Rogers_(footballer)
112976, David_Amoo
33387, David_Brightwell
109914, David_Raven_(footballer)
10486, Derek_Mountfield
85701, E._F._Schumacher
98579, Eric_Nixon
119344, Evan_Horwood
57491, Francis_Laurent
18259, François_Truffaut
77229, Gareth_Taylor
98073, George_Cook_(footballer)
39355, Graham_Bell_(footballer)
31330, Hugh_McAuley_(footballer_born_1953)
52194, Ian_Morris_(footballer)
28692, Jacques_Monod
106424, Jason_Price
77261, Jennison_Myrie-Williams
13079, John_Johnson_(footballer)
91033, John_Welsh_(footballer)
71933, Junior_Mendes
65408, Karl_Hawley
118379, Kelvin_Langmead
100415, Kevin_Gray
52307, Leon_McSweeney
109780, Magno_Vieira
70614, Micky_Holmes
52965, Nathan_Eccleston
79559, Northampton_Town_F.C.
2123, Paris
108190, Paul_Black_(English_footballer)
93853, Paul_Conway_(soccer)
78919, Paul_Fitzpatrick
84166, Paul_McGregor_(footballer)
119743, Paul_Rachubka
46219, Paul_Reid_(footballer_born_1982)
8891, Raadhika_Sarathkumar
2135, Ravi_Shankar_(spiritual_leader)
98055, Ray_Train
14771, Rob_Scott
50742, Robert_Edwards_(footballer_born_1973)
4505, Ron_Dellow
32670, Sam_Aiston
51415, Scott_Endersby
40202, Sean_McGinty
51212, Shaun_Teale
110287, Stéphane_Pounewatchy
15599, Tranmere_Rovers_F.C.
87221, Warren_Hawke
73231, Władysław_II_Jagiełło
110090, Zoumana_Bakayogo
src, edge_attr, dst
47289, isAffiliatedTo, 79559
47289, isAffiliatedTo, 15599
47289, playsFor, 79559
47289, playsFor, 15599
110875, isAffiliatedTo, 96699
110875, isAffiliatedTo, 79559
110875, playsFor, 96699
110875, playsFor, 79559
61613, isAffiliatedTo, 96699
61613, isAffiliatedTo, 15599
61613, playsFor, 96699
38017, isAffiliatedTo, 96699
38017, isAffiliatedTo, 79559
38017, playsFor, 96699
38017, playsFor, 79559
74339, playsFor, 96699
74339, playsFor, 15599
106694, isAffiliatedTo, 96699
106694, isAffiliatedTo, 79559
106694, playsFor, 96699
106694, playsFor, 79559
23615, isAffiliatedTo, 96699
23615, isAffiliatedTo, 15599
23615, playsFor, 96699
23615, playsFor, 15599
55996, isAffiliatedTo, 79559
55996, isAffiliatedTo, 15599
55996, playsFor, 79559
55996, playsFor, 15599
118116, playsFor, 96699
118116, playsFor, 79559
39078, isAffiliatedTo, 79559
39078, isAffiliatedTo, 15599
39078, playsFor, 79559
39078, playsFor, 15599
117933, isAffiliatedTo, 96699
117933, isAffiliatedTo, 79559
117933, playsFor, 96699
117933, playsFor, 79559
80004, isAffiliatedTo, 96699
80004, isAffiliatedTo, 15599
80004, playsFor, 96699
80004, playsFor, 15599
8933, isAffiliatedTo, 96699
8933, isAffiliatedTo, 79559
8933, playsFor, 96699
8933, playsFor, 79559
9771, isAffiliatedTo, 96699
9771, isAffiliatedTo, 79559
9771, playsFor, 96699
9771, playsFor, 79559
75184, isAffiliatedTo, 79559
75184, isAffiliatedTo, 15599
75184, playsFor, 79559
75184, playsFor, 15599
5429, isAffiliatedTo, 79559
5429, isAffiliatedTo, 15599
5429, playsFor, 79559
5429, playsFor, 15599
110247, isAffiliatedTo, 96699
110247, isAffiliatedTo, 15599
110247, playsFor, 96699
110247, playsFor, 15599
74972, isAffiliatedTo, 96699
74972, isAffiliatedTo, 15599
74972, playsFor, 96699
74972, playsFor, 15599
60450, isAffiliatedTo, 96699
60450, isAffiliatedTo, 15599
60450, playsFor, 96699
60450, playsFor, 15599
103393, isAffiliatedTo, 96699
103393, isAffiliatedTo, 15599
103393, playsFor, 96699
103393, playsFor, 15599
38312, playsFor, 96699
38312, playsFor, 15599
111542, isAffiliatedTo, 96699
111542, isAffiliatedTo, 15599
111542, playsFor, 96699
111542, playsFor, 15599
112976, playsFor, 96699
112976, playsFor, 15599
33387, isAffiliatedTo, 96699
33387, isAffiliatedTo, 79559
33387, playsFor, 96699
33387, playsFor, 79559
109914, isAffiliatedTo, 96699
109914, isAffiliatedTo, 15599
109914, playsFor, 96699
109914, playsFor, 15599
10486, isAffiliatedTo, 96699
10486, isAffiliatedTo, 79559
10486, isAffiliatedTo, 15599
10486, playsFor, 96699
10486, playsFor, 79559
10486, playsFor, 15599
85701, playsFor, 96699
85701, playsFor, 79559
98579, isAffiliatedTo, 96699
98579, isAffiliatedTo, 15599
98579, playsFor, 96699
98579, playsFor, 15599
119344, isAffiliatedTo, 96699
119344, isAffiliatedTo, 79559
119344, isAffiliatedTo, 15599
119344, playsFor, 96699
119344, playsFor, 79559
119344, playsFor, 15599
57491, isAffiliatedTo, 79559
57491, playsFor, 79559
57491, wasBornIn, 2123
18259, playsFor, 96699
18259, wasBornIn, 2123
77229, isAffiliatedTo, 96699
77229, isAffiliatedTo, 15599
77229, playsFor, 96699
77229, playsFor, 15599
98073, isAffiliatedTo, 96699
98073, isAffiliatedTo, 15599
98073, playsFor, 96699
98073, playsFor, 15599
39355, isAffiliatedTo, 96699
39355, isAffiliatedTo, 15599
39355, playsFor, 96699
39355, playsFor, 15599
31330, isAffiliatedTo, 96699
31330, isAffiliatedTo, 15599
31330, playsFor, 96699
31330, playsFor, 15599
52194, isAffiliatedTo, 96699
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52194, playsFor, 96699
52194, playsFor, 79559
28692, wasBornIn, 2123
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91033, isAffiliatedTo, 15599
91033, playsFor, 96699
91033, playsFor, 15599
71933, isAffiliatedTo, 96699
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65408, isAffiliatedTo, 79559
65408, playsFor, 96699
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118379, isAffiliatedTo, 96699
118379, isAffiliatedTo, 79559
118379, playsFor, 96699
118379, playsFor, 79559
100415, isAffiliatedTo, 96699
100415, isAffiliatedTo, 15599
100415, playsFor, 96699
100415, playsFor, 15599
52307, isAffiliatedTo, 96699
52307, isAffiliatedTo, 79559
52307, playsFor, 96699
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109780, isAffiliatedTo, 96699
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108190, isAffiliatedTo, 96699
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108190, playsFor, 96699
108190, playsFor, 15599
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93853, playsFor, 79559
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84166, isAffiliatedTo, 96699
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84166, playsFor, 96699
84166, playsFor, 79559
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119743, isAffiliatedTo, 15599
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119743, playsFor, 15599
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Question: In what context are Derek_Mountfield and Jacques_Monod connected?
Your output must be ONLY the PATH block.
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"style": "rule"
} | {
"entities": [
"Derek_Mountfield",
"Jacques_Monod"
],
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"Aidey_Thorpe",
"isAffiliatedTo",
"Northampton_Town_F.C."
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[
"Aidey_Thorpe",
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"Tranmere_Rovers_F.C."
],
[
"Aidey_Thorpe",
"playsFor",
"Northampton_Town_F.C."
],
[
"Aidey_Thorpe",
"playsFor",
"Tranmere_Rovers_F.C."
],
[
"Alan_Mayes",
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"Carlisle_United_F.C."
],
[
"Alan_Mayes",
"isAffiliatedTo",
"Northampton_Town_F.C."
],
[
"Alan_Mayes",
"playsFor",
"Carlisle_United_F.C."
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[
"Alan_Mayes",
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"Northampton_Town_F.C."
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"Alan_O'Brien",
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"Carlisle_United_F.C."
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[
"Alan_O'Brien",
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"Tranmere_Rovers_F.C."
],
[
"Alan_O'Brien",
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"Carlisle_United_F.C."
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"Allan_Smart",
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"Carlisle_United_F.C."
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"Allan_Smart",
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"Northampton_Town_F.C."
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"Allan_Smart",
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"Carlisle_United_F.C."
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[
"Allan_Smart",
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"Northampton_Town_F.C."
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[
"Anders_Jacobsen_(footballer)",
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"Carlisle_United_F.C."
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[
"Anders_Jacobsen_(footballer)",
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"Tranmere_Rovers_F.C."
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[
"Andy_Preece",
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"Carlisle_United_F.C."
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"Andy_Preece",
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"Andy_Preece",
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"Andy_Preece",
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"Barry_Siddall",
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"Barry_Siddall",
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"Barry_Siddall",
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"Carlisle_United_F.C."
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"Barry_Siddall",
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"Bas_Savage",
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"Bas_Savage",
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"Derek_Mountfield",
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"Derek_Mountfield",
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"Northampton_Town_F.C."
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"E._F._Schumacher",
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"Northampton_Town_F.C."
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"Eric_Nixon",
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"Carlisle_United_F.C."
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"Eric_Nixon",
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"Tranmere_Rovers_F.C."
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"Eric_Nixon",
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"Carlisle_United_F.C."
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"Eric_Nixon",
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"Tranmere_Rovers_F.C."
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"Evan_Horwood",
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"George_Cook_(footballer)",
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"Carlisle_United_F.C."
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"Graham_Bell_(footballer)",
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"Carlisle_United_F.C."
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"Hugh_McAuley_(footballer_born_1953)",
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"Carlisle_United_F.C."
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[
"Paul_Fitzpatrick",
"playsFor",
"Northampton_Town_F.C."
],
[
"Paul_McGregor_(footballer)",
"isAffiliatedTo",
"Carlisle_United_F.C."
],
[
"Paul_McGregor_(footballer)",
"isAffiliatedTo",
"Northampton_Town_F.C."
],
[
"Paul_McGregor_(footballer)",
"playsFor",
"Carlisle_United_F.C."
],
[
"Paul_McGregor_(footballer)",
"playsFor",
"Northampton_Town_F.C."
],
[
"Paul_Rachubka",
"isAffiliatedTo",
"Northampton_Town_F.C."
],
[
"Paul_Rachubka",
"isAffiliatedTo",
"Tranmere_Rovers_F.C."
],
[
"Paul_Rachubka",
"playsFor",
"Northampton_Town_F.C."
],
[
"Paul_Rachubka",
"playsFor",
"Tranmere_Rovers_F.C."
],
[
"Paul_Reid_(footballer_born_1982)",
"isAffiliatedTo",
"Carlisle_United_F.C."
],
[
"Paul_Reid_(footballer_born_1982)",
"isAffiliatedTo",
"Northampton_Town_F.C."
],
[
"Paul_Reid_(footballer_born_1982)",
"playsFor",
"Carlisle_United_F.C."
],
[
"Paul_Reid_(footballer_born_1982)",
"playsFor",
"Northampton_Town_F.C."
],
[
"Raadhika_Sarathkumar",
"playsFor",
"Northampton_Town_F.C."
],
[
"Raadhika_Sarathkumar",
"playsFor",
"Tranmere_Rovers_F.C."
],
[
"Ravi_Shankar_(spiritual_leader)",
"playsFor",
"Carlisle_United_F.C."
],
[
"Ravi_Shankar_(spiritual_leader)",
"playsFor",
"Tranmere_Rovers_F.C."
],
[
"Ray_Train",
"playsFor",
"Carlisle_United_F.C."
],
[
"Ray_Train",
"playsFor",
"Northampton_Town_F.C."
],
[
"Ray_Train",
"playsFor",
"Tranmere_Rovers_F.C."
],
[
"Rob_Scott",
"isAffiliatedTo",
"Carlisle_United_F.C."
],
[
"Rob_Scott",
"isAffiliatedTo",
"Northampton_Town_F.C."
],
[
"Rob_Scott",
"playsFor",
"Carlisle_United_F.C."
],
[
"Rob_Scott",
"playsFor",
"Northampton_Town_F.C."
],
[
"Robert_Edwards_(footballer_born_1973)",
"isAffiliatedTo",
"Carlisle_United_F.C."
],
[
"Robert_Edwards_(footballer_born_1973)",
"isAffiliatedTo",
"Tranmere_Rovers_F.C."
],
[
"Robert_Edwards_(footballer_born_1973)",
"playsFor",
"Carlisle_United_F.C."
],
[
"Ron_Dellow",
"playsFor",
"Carlisle_United_F.C."
],
[
"Ron_Dellow",
"playsFor",
"Tranmere_Rovers_F.C."
],
[
"Sam_Aiston",
"isAffiliatedTo",
"Northampton_Town_F.C."
],
[
"Sam_Aiston",
"isAffiliatedTo",
"Tranmere_Rovers_F.C."
],
[
"Sam_Aiston",
"playsFor",
"Northampton_Town_F.C."
],
[
"Sam_Aiston",
"playsFor",
"Tranmere_Rovers_F.C."
],
[
"Scott_Endersby",
"playsFor",
"Carlisle_United_F.C."
],
[
"Scott_Endersby",
"playsFor",
"Tranmere_Rovers_F.C."
],
[
"Sean_McGinty",
"playsFor",
"Carlisle_United_F.C."
],
[
"Sean_McGinty",
"playsFor",
"Northampton_Town_F.C."
],
[
"Sean_McGinty",
"playsFor",
"Tranmere_Rovers_F.C."
],
[
"Shaun_Teale",
"isAffiliatedTo",
"Carlisle_United_F.C."
],
[
"Shaun_Teale",
"isAffiliatedTo",
"Tranmere_Rovers_F.C."
],
[
"Shaun_Teale",
"playsFor",
"Carlisle_United_F.C."
],
[
"Shaun_Teale",
"playsFor",
"Tranmere_Rovers_F.C."
],
[
"Stéphane_Pounewatchy",
"isAffiliatedTo",
"Carlisle_United_F.C."
],
[
"Stéphane_Pounewatchy",
"playsFor",
"Carlisle_United_F.C."
],
[
"Stéphane_Pounewatchy",
"wasBornIn",
"Paris"
],
[
"Warren_Hawke",
"isAffiliatedTo",
"Carlisle_United_F.C."
],
[
"Warren_Hawke",
"isAffiliatedTo",
"Northampton_Town_F.C."
],
[
"Warren_Hawke",
"playsFor",
"Carlisle_United_F.C."
],
[
"Warren_Hawke",
"playsFor",
"Northampton_Town_F.C."
],
[
"Władysław_II_Jagiełło",
"playsFor",
"Carlisle_United_F.C."
],
[
"Władysław_II_Jagiełło",
"playsFor",
"Northampton_Town_F.C."
],
[
"Zoumana_Bakayogo",
"isAffiliatedTo",
"Tranmere_Rovers_F.C."
],
[
"Zoumana_Bakayogo",
"playsFor",
"Tranmere_Rovers_F.C."
],
[
"Zoumana_Bakayogo",
"wasBornIn",
"Paris"
]
],
"ground_truth": [],
"gt_cost": null
} |
YAGO |
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
92118, Austin,_Texas
86909, Barcelona
40016, Bavaria
83750, Hamburg
42513, London_Heathrow_Terminal_5
26362, Miami
100997, Munich
9307, Neustadt_an_der_Waldnaab_(district)
29594, Singapore
92504, Travelzoo
31027, Vancouver
src, edge_attr, dst
40016, hasCapital, 100997
40016, isLocatedIn, 100997
42513, isConnectedTo, 92118
42513, isConnectedTo, 86909
42513, isConnectedTo, 83750
42513, isConnectedTo, 26362
42513, isConnectedTo, 100997
42513, isConnectedTo, 29594
42513, isConnectedTo, 31027
100997, isLocatedIn, 40016
9307, isLocatedIn, 40016
92504, isLocatedIn, 92118
92504, isLocatedIn, 86909
92504, isLocatedIn, 83750
92504, isLocatedIn, 26362
92504, isLocatedIn, 100997
92504, isLocatedIn, 29594
92504, isLocatedIn, 31027
Question: In what context are Miami and Neustadt_an_der_Waldnaab_(district) connected?
Your output must be ONLY the PATH block.
| graph_path | {
"style": "rule"
} | {
"entities": [
"Miami",
"Neustadt_an_der_Waldnaab_(district)"
],
"valid_edges": [
[
"Bavaria",
"hasCapital",
"Munich"
],
[
"Bavaria",
"isLocatedIn",
"Munich"
],
[
"London_Heathrow_Terminal_5",
"isConnectedTo",
"Austin,_Texas"
],
[
"London_Heathrow_Terminal_5",
"isConnectedTo",
"Barcelona"
],
[
"London_Heathrow_Terminal_5",
"isConnectedTo",
"Hamburg"
],
[
"London_Heathrow_Terminal_5",
"isConnectedTo",
"Miami"
],
[
"London_Heathrow_Terminal_5",
"isConnectedTo",
"Munich"
],
[
"London_Heathrow_Terminal_5",
"isConnectedTo",
"Singapore"
],
[
"London_Heathrow_Terminal_5",
"isConnectedTo",
"Vancouver"
],
[
"Munich",
"isLocatedIn",
"Bavaria"
],
[
"Neustadt_an_der_Waldnaab_(district)",
"isLocatedIn",
"Bavaria"
],
[
"Travelzoo",
"isLocatedIn",
"Austin,_Texas"
],
[
"Travelzoo",
"isLocatedIn",
"Barcelona"
],
[
"Travelzoo",
"isLocatedIn",
"Hamburg"
],
[
"Travelzoo",
"isLocatedIn",
"Miami"
],
[
"Travelzoo",
"isLocatedIn",
"Munich"
],
[
"Travelzoo",
"isLocatedIn",
"Singapore"
],
[
"Travelzoo",
"isLocatedIn",
"Vancouver"
]
],
"ground_truth": [],
"gt_cost": null
} |
YAGO |
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
80588, Albert_Ernest_Kitson
49443, Aloys_Van_de_Vyvere
33353, Arthur_Coningham_(RAF_officer)
98453, Boghos_Nubar
58297, Ferdinand_Foch
117717, George_S._Patton
107707, Guy_Simonds
89823, India
48879, J._R._D._Tata
56882, Jean_de_Lattre_de_Tassigny
110085, Johnnie_Johnson_(RAF_officer)
473, Marlene_Dietrich
108858, Maurice_Druon
74865, Miles_Dempsey
2596, Nicolas_Sarkozy
33804, Order_of_Leopold_(Belgium)
16235, Order_of_the_British_Empire
2123, Paris
96084, Pedro_II_of_Brazil
44309, Pierre_Mauroy
120760, Porfirio_Díaz
92878, Raoul_Magrin-Vernerey
94825, René_Pleven
77474, Sonia_Gandhi
90716, Srikakulam_district
122116, Thomas_T._Handy
2604, Wesley_Clark
src, edge_attr, dst
80588, hasWonPrize, 16235
80588, livesIn, 89823
49443, diedIn, 2123
49443, hasWonPrize, 33804
33353, hasWonPrize, 33804
33353, hasWonPrize, 16235
98453, diedIn, 2123
98453, hasWonPrize, 33804
58297, diedIn, 2123
58297, hasWonPrize, 33804
117717, hasWonPrize, 33804
117717, hasWonPrize, 16235
107707, hasWonPrize, 33804
107707, hasWonPrize, 16235
48879, isCitizenOf, 89823
48879, wasBornIn, 2123
56882, diedIn, 2123
56882, hasWonPrize, 33804
110085, hasWonPrize, 33804
110085, hasWonPrize, 16235
473, diedIn, 2123
473, hasWonPrize, 33804
108858, diedIn, 2123
108858, hasWonPrize, 33804
108858, hasWonPrize, 16235
108858, wasBornIn, 2123
74865, hasWonPrize, 33804
74865, hasWonPrize, 16235
2596, hasWonPrize, 33804
2596, wasBornIn, 2123
96084, diedIn, 2123
96084, hasWonPrize, 33804
44309, diedIn, 2123
44309, hasWonPrize, 33804
120760, diedIn, 2123
120760, hasWonPrize, 33804
92878, diedIn, 2123
92878, hasWonPrize, 16235
94825, diedIn, 2123
94825, hasWonPrize, 33804
77474, hasWonPrize, 33804
77474, isPoliticianOf, 89823
90716, isLocatedIn, 89823
122116, hasWonPrize, 33804
122116, hasWonPrize, 16235
2604, hasWonPrize, 33804
2604, hasWonPrize, 16235
Question: How are Maurice_Druon and Srikakulam_district related?
Your output must be ONLY the PATH block.
| graph_path | {
"style": "rule"
} | {
"entities": [
"Maurice_Druon",
"Srikakulam_district"
],
"valid_edges": [
[
"Albert_Ernest_Kitson",
"hasWonPrize",
"Order_of_the_British_Empire"
],
[
"Albert_Ernest_Kitson",
"livesIn",
"India"
],
[
"Aloys_Van_de_Vyvere",
"diedIn",
"Paris"
],
[
"Aloys_Van_de_Vyvere",
"hasWonPrize",
"Order_of_Leopold_(Belgium)"
],
[
"Arthur_Coningham_(RAF_officer)",
"hasWonPrize",
"Order_of_Leopold_(Belgium)"
],
[
"Arthur_Coningham_(RAF_officer)",
"hasWonPrize",
"Order_of_the_British_Empire"
],
[
"Boghos_Nubar",
"diedIn",
"Paris"
],
[
"Boghos_Nubar",
"hasWonPrize",
"Order_of_Leopold_(Belgium)"
],
[
"Ferdinand_Foch",
"diedIn",
"Paris"
],
[
"Ferdinand_Foch",
"hasWonPrize",
"Order_of_Leopold_(Belgium)"
],
[
"George_S._Patton",
"hasWonPrize",
"Order_of_Leopold_(Belgium)"
],
[
"George_S._Patton",
"hasWonPrize",
"Order_of_the_British_Empire"
],
[
"Guy_Simonds",
"hasWonPrize",
"Order_of_Leopold_(Belgium)"
],
[
"Guy_Simonds",
"hasWonPrize",
"Order_of_the_British_Empire"
],
[
"J._R._D._Tata",
"isCitizenOf",
"India"
],
[
"J._R._D._Tata",
"wasBornIn",
"Paris"
],
[
"Jean_de_Lattre_de_Tassigny",
"diedIn",
"Paris"
],
[
"Jean_de_Lattre_de_Tassigny",
"hasWonPrize",
"Order_of_Leopold_(Belgium)"
],
[
"Johnnie_Johnson_(RAF_officer)",
"hasWonPrize",
"Order_of_Leopold_(Belgium)"
],
[
"Johnnie_Johnson_(RAF_officer)",
"hasWonPrize",
"Order_of_the_British_Empire"
],
[
"Marlene_Dietrich",
"diedIn",
"Paris"
],
[
"Marlene_Dietrich",
"hasWonPrize",
"Order_of_Leopold_(Belgium)"
],
[
"Maurice_Druon",
"diedIn",
"Paris"
],
[
"Maurice_Druon",
"hasWonPrize",
"Order_of_Leopold_(Belgium)"
],
[
"Maurice_Druon",
"hasWonPrize",
"Order_of_the_British_Empire"
],
[
"Maurice_Druon",
"wasBornIn",
"Paris"
],
[
"Miles_Dempsey",
"hasWonPrize",
"Order_of_Leopold_(Belgium)"
],
[
"Miles_Dempsey",
"hasWonPrize",
"Order_of_the_British_Empire"
],
[
"Nicolas_Sarkozy",
"hasWonPrize",
"Order_of_Leopold_(Belgium)"
],
[
"Nicolas_Sarkozy",
"wasBornIn",
"Paris"
],
[
"Pedro_II_of_Brazil",
"diedIn",
"Paris"
],
[
"Pedro_II_of_Brazil",
"hasWonPrize",
"Order_of_Leopold_(Belgium)"
],
[
"Pierre_Mauroy",
"diedIn",
"Paris"
],
[
"Pierre_Mauroy",
"hasWonPrize",
"Order_of_Leopold_(Belgium)"
],
[
"Porfirio_Díaz",
"diedIn",
"Paris"
],
[
"Porfirio_Díaz",
"hasWonPrize",
"Order_of_Leopold_(Belgium)"
],
[
"Raoul_Magrin-Vernerey",
"diedIn",
"Paris"
],
[
"Raoul_Magrin-Vernerey",
"hasWonPrize",
"Order_of_the_British_Empire"
],
[
"René_Pleven",
"diedIn",
"Paris"
],
[
"René_Pleven",
"hasWonPrize",
"Order_of_Leopold_(Belgium)"
],
[
"Sonia_Gandhi",
"hasWonPrize",
"Order_of_Leopold_(Belgium)"
],
[
"Sonia_Gandhi",
"isPoliticianOf",
"India"
],
[
"Srikakulam_district",
"isLocatedIn",
"India"
],
[
"Thomas_T._Handy",
"hasWonPrize",
"Order_of_Leopold_(Belgium)"
],
[
"Thomas_T._Handy",
"hasWonPrize",
"Order_of_the_British_Empire"
],
[
"Wesley_Clark",
"hasWonPrize",
"Order_of_Leopold_(Belgium)"
],
[
"Wesley_Clark",
"hasWonPrize",
"Order_of_the_British_Empire"
]
],
"ground_truth": [],
"gt_cost": null
} |
YAGO |
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
24474, Bamyan_Province
81755, Catherine_Hicks
32844, Habiba_Sarobi
76699, Like_Father_Like_Son_(1987_film)
68869, Margaret_Colin
80384, female
src, edge_attr, dst
81755, actedIn, 76699
81755, hasGender, 80384
32844, hasGender, 80384
32844, isPoliticianOf, 24474
68869, actedIn, 76699
68869, hasGender, 80384
Question: In what context are Bamyan_Province and Like_Father_Like_Son_(1987_film) connected?
Your output must be ONLY the PATH block.
| graph_path | {
"style": "rule"
} | {
"entities": [
"Bamyan_Province",
"Like_Father_Like_Son_(1987_film)"
],
"valid_edges": [
[
"Catherine_Hicks",
"actedIn",
"Like_Father_Like_Son_(1987_film)"
],
[
"Catherine_Hicks",
"hasGender",
"female"
],
[
"Habiba_Sarobi",
"hasGender",
"female"
],
[
"Habiba_Sarobi",
"isPoliticianOf",
"Bamyan_Province"
],
[
"Margaret_Colin",
"actedIn",
"Like_Father_Like_Son_(1987_film)"
],
[
"Margaret_Colin",
"hasGender",
"female"
]
],
"ground_truth": [],
"gt_cost": null
} |
YAGO |
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
82944, A.F.C._Bournemouth
44790, Avalon_(1990_film)
39712, Jim_Ottaviani
34888, Justin_Skinner_(footballer_born_1972)
29157, United_States
src, edge_attr, dst
44790, isLocatedIn, 29157
39712, isCitizenOf, 29157
39712, playsFor, 82944
34888, isAffiliatedTo, 82944
34888, playsFor, 82944
Question: For what reason are Avalon_(1990_film) and Justin_Skinner_(footballer_born_1972) associated?
Your output must be ONLY the PATH block.
| graph_path | {
"style": "rule"
} | {
"entities": [
"Avalon_(1990_film)",
"Justin_Skinner_(footballer_born_1972)"
],
"valid_edges": [
[
"Avalon_(1990_film)",
"isLocatedIn",
"United_States"
],
[
"Jim_Ottaviani",
"isCitizenOf",
"United_States"
],
[
"Jim_Ottaviani",
"playsFor",
"A.F.C._Bournemouth"
],
[
"Justin_Skinner_(footballer_born_1972)",
"isAffiliatedTo",
"A.F.C._Bournemouth"
],
[
"Justin_Skinner_(footballer_born_1972)",
"playsFor",
"A.F.C._Bournemouth"
]
],
"ground_truth": [],
"gt_cost": null
} |
YAGO |
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
16324, Joe_Zawinul
19792, Mike_Mills
82691, Vienna
40818, Volkan_Kahraman
90252, wordnet_accordion_102672831
src, edge_attr, dst
16324, diedIn, 82691
16324, hasMusicalRole, 90252
16324, wasBornIn, 82691
19792, hasMusicalRole, 90252
40818, wasBornIn, 82691
Question: For what reason are Mike_Mills and Volkan_Kahraman associated?
Your output must be ONLY the PATH block.
| graph_path | {
"style": "rule"
} | {
"entities": [
"Mike_Mills",
"Volkan_Kahraman"
],
"valid_edges": [
[
"Joe_Zawinul",
"diedIn",
"Vienna"
],
[
"Joe_Zawinul",
"hasMusicalRole",
"wordnet_accordion_102672831"
],
[
"Joe_Zawinul",
"wasBornIn",
"Vienna"
],
[
"Mike_Mills",
"hasMusicalRole",
"wordnet_accordion_102672831"
],
[
"Volkan_Kahraman",
"wasBornIn",
"Vienna"
]
],
"ground_truth": [],
"gt_cost": null
} |
YAGO |
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
18438, Azerbaijan
48940, Dave_Stevens
90095, Naci_Şensoy
56445, Turan_Tovuz_PFK
29157, United_States
src, edge_attr, dst
18438, dealsWith, 29157
48940, isCitizenOf, 29157
90095, isAffiliatedTo, 56445
56445, owns, 18438
Question: How are Dave_Stevens and Naci_Şensoy related?
Your output must be ONLY the PATH block.
| graph_path | {
"style": "rule"
} | {
"entities": [
"Dave_Stevens",
"Naci_Şensoy"
],
"valid_edges": [
[
"Azerbaijan",
"dealsWith",
"United_States"
],
[
"Dave_Stevens",
"isCitizenOf",
"United_States"
],
[
"Naci_Şensoy",
"isAffiliatedTo",
"Turan_Tovuz_PFK"
],
[
"Turan_Tovuz_PFK",
"owns",
"Azerbaijan"
]
],
"ground_truth": [],
"gt_cost": null
} |
YAGO |
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
99590, Barry_Miller_(footballer)
74523, Uvis_Helmanis
118104, male
src, edge_attr, dst
99590, hasGender, 118104
74523, hasGender, 118104
Question: For what reason are Barry_Miller_(footballer) and Uvis_Helmanis associated?
Your output must be ONLY the PATH block.
| graph_path | {
"style": "rule"
} | {
"entities": [
"Barry_Miller_(footballer)",
"Uvis_Helmanis"
],
"valid_edges": [
[
"Barry_Miller_(footballer)",
"hasGender",
"male"
],
[
"Uvis_Helmanis",
"hasGender",
"male"
]
],
"ground_truth": [],
"gt_cost": null
} |
YAGO |
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
83466, Council_Grove,_Kansas
81384, John_Dramani_Mahama
94052, John_Martin_(Governor_of_Kansas)
113108, Kansas
19393, Morris_County,_Kansas
59525, Sam_Brownback
29157, United_States
118104, male
src, edge_attr, dst
83466, isLocatedIn, 113108
83466, isLocatedIn, 19393
83466, isLocatedIn, 29157
81384, hasGender, 118104
94052, hasGender, 118104
94052, isPoliticianOf, 113108
113108, isLocatedIn, 29157
19393, isLocatedIn, 83466
19393, isLocatedIn, 113108
59525, hasGender, 118104
59525, isPoliticianOf, 113108
Question: In what context are John_Dramani_Mahama and Morris_County,_Kansas connected?
Your output must be ONLY the PATH block.
| graph_path | {
"style": "rule"
} | {
"entities": [
"John_Dramani_Mahama",
"Morris_County,_Kansas"
],
"valid_edges": [
[
"Council_Grove,_Kansas",
"isLocatedIn",
"Kansas"
],
[
"Council_Grove,_Kansas",
"isLocatedIn",
"Morris_County,_Kansas"
],
[
"Council_Grove,_Kansas",
"isLocatedIn",
"United_States"
],
[
"John_Dramani_Mahama",
"hasGender",
"male"
],
[
"John_Martin_(Governor_of_Kansas)",
"hasGender",
"male"
],
[
"John_Martin_(Governor_of_Kansas)",
"isPoliticianOf",
"Kansas"
],
[
"Kansas",
"isLocatedIn",
"United_States"
],
[
"Morris_County,_Kansas",
"isLocatedIn",
"Council_Grove,_Kansas"
],
[
"Morris_County,_Kansas",
"isLocatedIn",
"Kansas"
],
[
"Sam_Brownback",
"hasGender",
"male"
],
[
"Sam_Brownback",
"isPoliticianOf",
"Kansas"
]
],
"ground_truth": [],
"gt_cost": null
} |
YAGO |
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
46508, Amitabh_Bachchan
59879, Bhutan
45863, China
110655, Hong_Kong
89823, India
109461, Kaalia
79493, Malaysia
68958, Mumbai
83421, Neelam_Kothari
29594, Singapore
78704, United_World_Colleges
21310, Vincent_Kok
src, edge_attr, dst
46508, actedIn, 109461
46508, livesIn, 68958
59879, dealsWith, 110655
59879, dealsWith, 89823
59879, hasNeighbor, 89823
45863, dealsWith, 110655
45863, hasNeighbor, 89823
110655, dealsWith, 45863
110655, isLocatedIn, 45863
89823, dealsWith, 45863
89823, dealsWith, 110655
89823, dealsWith, 29594
89823, hasNeighbor, 59879
89823, hasNeighbor, 45863
109461, isLocatedIn, 89823
79493, dealsWith, 110655
79493, dealsWith, 89823
68958, isLocatedIn, 89823
83421, livesIn, 89823
83421, wasBornIn, 110655
29594, dealsWith, 110655
78704, isLocatedIn, 110655
78704, isLocatedIn, 89823
21310, wasBornIn, 110655
Question: For what reason are Kaalia and Vincent_Kok associated?
Your output must be ONLY the PATH block.
| graph_path | {
"style": "rule"
} | {
"entities": [
"Kaalia",
"Vincent_Kok"
],
"valid_edges": [
[
"Amitabh_Bachchan",
"actedIn",
"Kaalia"
],
[
"Amitabh_Bachchan",
"livesIn",
"Mumbai"
],
[
"Bhutan",
"dealsWith",
"Hong_Kong"
],
[
"Bhutan",
"dealsWith",
"India"
],
[
"Bhutan",
"hasNeighbor",
"India"
],
[
"China",
"dealsWith",
"Hong_Kong"
],
[
"China",
"hasNeighbor",
"India"
],
[
"Hong_Kong",
"dealsWith",
"China"
],
[
"Hong_Kong",
"isLocatedIn",
"China"
],
[
"India",
"dealsWith",
"China"
],
[
"India",
"dealsWith",
"Hong_Kong"
],
[
"India",
"dealsWith",
"Singapore"
],
[
"India",
"hasNeighbor",
"Bhutan"
],
[
"India",
"hasNeighbor",
"China"
],
[
"Kaalia",
"isLocatedIn",
"India"
],
[
"Malaysia",
"dealsWith",
"Hong_Kong"
],
[
"Malaysia",
"dealsWith",
"India"
],
[
"Mumbai",
"isLocatedIn",
"India"
],
[
"Neelam_Kothari",
"livesIn",
"India"
],
[
"Neelam_Kothari",
"wasBornIn",
"Hong_Kong"
],
[
"Singapore",
"dealsWith",
"Hong_Kong"
],
[
"United_World_Colleges",
"isLocatedIn",
"Hong_Kong"
],
[
"United_World_Colleges",
"isLocatedIn",
"India"
],
[
"Vincent_Kok",
"wasBornIn",
"Hong_Kong"
]
],
"ground_truth": [],
"gt_cost": null
} |
YAGO |
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
6666, Andrei_Ilyaskin
48850, FC_Kuban_Krasnodar
109067, FC_Tobol
24224, Georgi_Chilikov
8205, Robert_Zebelyan
28897, Sergei_Dmitriyevich_Bogdanov
src, edge_attr, dst
6666, playsFor, 48850
24224, isAffiliatedTo, 109067
24224, playsFor, 109067
8205, isAffiliatedTo, 48850
8205, isAffiliatedTo, 109067
8205, playsFor, 48850
8205, playsFor, 109067
28897, playsFor, 48850
28897, playsFor, 109067
Question: How are Andrei_Ilyaskin and Georgi_Chilikov related?
Your output must be ONLY the PATH block.
| graph_path | {
"style": "rule"
} | {
"entities": [
"Andrei_Ilyaskin",
"Georgi_Chilikov"
],
"valid_edges": [
[
"Andrei_Ilyaskin",
"playsFor",
"FC_Kuban_Krasnodar"
],
[
"Georgi_Chilikov",
"isAffiliatedTo",
"FC_Tobol"
],
[
"Georgi_Chilikov",
"playsFor",
"FC_Tobol"
],
[
"Robert_Zebelyan",
"isAffiliatedTo",
"FC_Kuban_Krasnodar"
],
[
"Robert_Zebelyan",
"isAffiliatedTo",
"FC_Tobol"
],
[
"Robert_Zebelyan",
"playsFor",
"FC_Kuban_Krasnodar"
],
[
"Robert_Zebelyan",
"playsFor",
"FC_Tobol"
],
[
"Sergei_Dmitriyevich_Bogdanov",
"playsFor",
"FC_Kuban_Krasnodar"
],
[
"Sergei_Dmitriyevich_Bogdanov",
"playsFor",
"FC_Tobol"
]
],
"ground_truth": [],
"gt_cost": null
} |
YAGO |
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
31187, Akita_Prefecture
56036, James_Rollins
62626, Kazuno,_Akita
71445, Yasuhiko_Okudera
118104, male
src, edge_attr, dst
56036, hasGender, 118104
62626, isLocatedIn, 31187
71445, hasGender, 118104
71445, wasBornIn, 62626
Question: For what reason are Akita_Prefecture and James_Rollins associated?
Your output must be ONLY the PATH block.
| graph_path | {
"style": "rule"
} | {
"entities": [
"Akita_Prefecture",
"James_Rollins"
],
"valid_edges": [
[
"James_Rollins",
"hasGender",
"male"
],
[
"Kazuno,_Akita",
"isLocatedIn",
"Akita_Prefecture"
],
[
"Yasuhiko_Okudera",
"hasGender",
"male"
],
[
"Yasuhiko_Okudera",
"wasBornIn",
"Kazuno,_Akita"
]
],
"ground_truth": [],
"gt_cost": null
} |
YAGO |
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
95024, Charles_the_Fat
50849, Marlon_King
118104, male
src, edge_attr, dst
95024, hasGender, 118104
50849, hasGender, 118104
Question: How are Charles_the_Fat and Marlon_King related?
Your output must be ONLY the PATH block.
| graph_path | {
"style": "rule"
} | {
"entities": [
"Charles_the_Fat",
"Marlon_King"
],
"valid_edges": [
[
"Charles_the_Fat",
"hasGender",
"male"
],
[
"Marlon_King",
"hasGender",
"male"
]
],
"ground_truth": [],
"gt_cost": null
} |
YAGO |
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
43702, Drouin,_Victoria
5844, Edmund_Herring
101493, John_Hope,_1st_Marquess_of_Linlithgow
75291, Paul_Dixon_(footballer,_born_1986)
17777, Victoria_(Australia)
118104, male
src, edge_attr, dst
43702, isLocatedIn, 17777
5844, hasGender, 118104
5844, isPoliticianOf, 17777
101493, hasGender, 118104
101493, isPoliticianOf, 17777
75291, hasGender, 118104
Question: How are Drouin,_Victoria and Paul_Dixon_(footballer,_born_1986) related?
Your output must be ONLY the PATH block.
| graph_path | {
"style": "rule"
} | {
"entities": [
"Drouin,_Victoria",
"Paul_Dixon_(footballer,_born_1986)"
],
"valid_edges": [
[
"Drouin,_Victoria",
"isLocatedIn",
"Victoria_(Australia)"
],
[
"Edmund_Herring",
"hasGender",
"male"
],
[
"Edmund_Herring",
"isPoliticianOf",
"Victoria_(Australia)"
],
[
"John_Hope,_1st_Marquess_of_Linlithgow",
"hasGender",
"male"
],
[
"John_Hope,_1st_Marquess_of_Linlithgow",
"isPoliticianOf",
"Victoria_(Australia)"
],
[
"Paul_Dixon_(footballer,_born_1986)",
"hasGender",
"male"
]
],
"ground_truth": [],
"gt_cost": null
} |
YAGO |
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
19114, Charlie_McGillivray
111890, Croatia_national_under-21_football_team
112168, Dundee_United_F.C.
21134, Mihael_Kovačević
18754, Vedran_Turkalj
src, edge_attr, dst
19114, isAffiliatedTo, 112168
19114, playsFor, 112168
21134, isAffiliatedTo, 111890
21134, isAffiliatedTo, 112168
21134, playsFor, 111890
21134, playsFor, 112168
18754, isAffiliatedTo, 111890
Question: For what reason are Charlie_McGillivray and Vedran_Turkalj associated?
Your output must be ONLY the PATH block.
| graph_path | {
"style": "rule"
} | {
"entities": [
"Charlie_McGillivray",
"Vedran_Turkalj"
],
"valid_edges": [
[
"Charlie_McGillivray",
"isAffiliatedTo",
"Dundee_United_F.C."
],
[
"Charlie_McGillivray",
"playsFor",
"Dundee_United_F.C."
],
[
"Mihael_Kovačević",
"isAffiliatedTo",
"Croatia_national_under-21_football_team"
],
[
"Mihael_Kovačević",
"isAffiliatedTo",
"Dundee_United_F.C."
],
[
"Mihael_Kovačević",
"playsFor",
"Croatia_national_under-21_football_team"
],
[
"Mihael_Kovačević",
"playsFor",
"Dundee_United_F.C."
],
[
"Vedran_Turkalj",
"isAffiliatedTo",
"Croatia_national_under-21_football_team"
]
],
"ground_truth": [],
"gt_cost": null
} |
YAGO |
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
108546, 1948_Arab–Israeli_War
71771, Arabic_language
19391, Arab–Israeli_conflict
112540, Gaza_Strip
119530, Ion_Dragoumis
2104, Jordan
66231, Kingdom_of_Egypt
7827, Kingdom_of_Iraq
98240, Kuwait
15864, Maurice_Barrès
34336, Middle_East
113986, Middle_Eastern_theatre_of_World_War_I
47589, Near_East
41460, Palestine_Liberation_Organization
68888, Sinai_Peninsula
64199, Six-Day_War
113520, South_Yemen
src, edge_attr, dst
108546, happenedIn, 66231
108546, happenedIn, 7827
108546, happenedIn, 34336
108546, happenedIn, 47589
108546, happenedIn, 68888
19391, happenedIn, 34336
19391, happenedIn, 47589
112540, hasOfficialLanguage, 71771
112540, participatedIn, 19391
119530, isKnownFor, 34336
2104, hasOfficialLanguage, 71771
2104, participatedIn, 108546
2104, participatedIn, 19391
2104, participatedIn, 64199
2104, participatedIn, 113520
66231, hasOfficialLanguage, 71771
66231, participatedIn, 108546
7827, hasOfficialLanguage, 71771
7827, participatedIn, 108546
98240, hasOfficialLanguage, 71771
98240, participatedIn, 113986
98240, participatedIn, 64199
15864, influences, 119530
113986, happenedIn, 2104
113986, happenedIn, 34336
113986, happenedIn, 68888
41460, participatedIn, 19391
41460, participatedIn, 64199
64199, happenedIn, 112540
64199, happenedIn, 2104
64199, happenedIn, 34336
64199, happenedIn, 47589
64199, happenedIn, 68888
64199, isLocatedIn, 47589
113520, isLocatedIn, 34336
Question: For what reason are Jordan and Maurice_Barrès associated?
Your output must be ONLY the PATH block.
| graph_path | {
"style": "rule"
} | {
"entities": [
"Jordan",
"Maurice_Barrès"
],
"valid_edges": [
[
"1948_Arab–Israeli_War",
"happenedIn",
"Kingdom_of_Egypt"
],
[
"1948_Arab–Israeli_War",
"happenedIn",
"Kingdom_of_Iraq"
],
[
"1948_Arab–Israeli_War",
"happenedIn",
"Middle_East"
],
[
"1948_Arab–Israeli_War",
"happenedIn",
"Near_East"
],
[
"1948_Arab–Israeli_War",
"happenedIn",
"Sinai_Peninsula"
],
[
"Arab–Israeli_conflict",
"happenedIn",
"Middle_East"
],
[
"Arab–Israeli_conflict",
"happenedIn",
"Near_East"
],
[
"Gaza_Strip",
"hasOfficialLanguage",
"Arabic_language"
],
[
"Gaza_Strip",
"participatedIn",
"Arab–Israeli_conflict"
],
[
"Ion_Dragoumis",
"isKnownFor",
"Middle_East"
],
[
"Jordan",
"hasOfficialLanguage",
"Arabic_language"
],
[
"Jordan",
"participatedIn",
"1948_Arab–Israeli_War"
],
[
"Jordan",
"participatedIn",
"Arab–Israeli_conflict"
],
[
"Jordan",
"participatedIn",
"Six-Day_War"
],
[
"Jordan",
"participatedIn",
"South_Yemen"
],
[
"Kingdom_of_Egypt",
"hasOfficialLanguage",
"Arabic_language"
],
[
"Kingdom_of_Egypt",
"participatedIn",
"1948_Arab–Israeli_War"
],
[
"Kingdom_of_Iraq",
"hasOfficialLanguage",
"Arabic_language"
],
[
"Kingdom_of_Iraq",
"participatedIn",
"1948_Arab–Israeli_War"
],
[
"Kuwait",
"hasOfficialLanguage",
"Arabic_language"
],
[
"Kuwait",
"participatedIn",
"Middle_Eastern_theatre_of_World_War_I"
],
[
"Kuwait",
"participatedIn",
"Six-Day_War"
],
[
"Maurice_Barrès",
"influences",
"Ion_Dragoumis"
],
[
"Middle_Eastern_theatre_of_World_War_I",
"happenedIn",
"Jordan"
],
[
"Middle_Eastern_theatre_of_World_War_I",
"happenedIn",
"Middle_East"
],
[
"Middle_Eastern_theatre_of_World_War_I",
"happenedIn",
"Sinai_Peninsula"
],
[
"Palestine_Liberation_Organization",
"participatedIn",
"Arab–Israeli_conflict"
],
[
"Palestine_Liberation_Organization",
"participatedIn",
"Six-Day_War"
],
[
"Six-Day_War",
"happenedIn",
"Gaza_Strip"
],
[
"Six-Day_War",
"happenedIn",
"Jordan"
],
[
"Six-Day_War",
"happenedIn",
"Middle_East"
],
[
"Six-Day_War",
"happenedIn",
"Near_East"
],
[
"Six-Day_War",
"happenedIn",
"Sinai_Peninsula"
],
[
"Six-Day_War",
"isLocatedIn",
"Near_East"
],
[
"South_Yemen",
"isLocatedIn",
"Middle_East"
]
],
"ground_truth": [],
"gt_cost": null
} |
YAGO |
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
29599, David_Ben-Gurion
115592, Dawid_Kręt
98373, Mariusz_Unierzyski
12458, Płońsk
2714, Płońsk_County
50208, Stephen_E._Rivkin
118104, male
src, edge_attr, dst
29599, hasGender, 118104
29599, wasBornIn, 12458
115592, hasGender, 118104
115592, wasBornIn, 12458
98373, hasGender, 118104
98373, wasBornIn, 12458
12458, isLocatedIn, 2714
50208, hasGender, 118104
Question: How are Płońsk_County and Stephen_E._Rivkin related?
Your output must be ONLY the PATH block.
| graph_path | {
"style": "rule"
} | {
"entities": [
"Płońsk_County",
"Stephen_E._Rivkin"
],
"valid_edges": [
[
"David_Ben-Gurion",
"hasGender",
"male"
],
[
"David_Ben-Gurion",
"wasBornIn",
"Płońsk"
],
[
"Dawid_Kręt",
"hasGender",
"male"
],
[
"Dawid_Kręt",
"wasBornIn",
"Płońsk"
],
[
"Mariusz_Unierzyski",
"hasGender",
"male"
],
[
"Mariusz_Unierzyski",
"wasBornIn",
"Płońsk"
],
[
"Płońsk",
"isLocatedIn",
"Płońsk_County"
],
[
"Stephen_E._Rivkin",
"hasGender",
"male"
]
],
"ground_truth": [],
"gt_cost": null
} |
YAGO |
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
77906, A.C.F._Fiorentina
17887, A.S._Livorno_Calcio
113731, ACF_Fiorentina
73054, Alessandro_Diamanti
26053, Antonio_Nocerino
15614, Billericay_Town_F.C.
14850, Bologna_F.C._1909
40391, Brackley_Town_F.C.
90227, Bradley_Woods-Garness
108498, Brescia_Calcio
68175, David_Di_Michele
20011, Diego_Tristán
79126, Ebbsfleet_United_F.C.
76148, Emmanuel_Cascione
9692, Empoli_F.C.
62988, Fabio_Daprelà
20121, Florin_Răducioiu
42557, Gianfranco_Zola
1272, Guangzhou_Evergrande
81898, Hendon_F.C.
31799, Italy_national_football_team
7781, Jefferson_Louis
104520, Joe_Benjamin_(footballer)
10679, Lowestoft_Town_F.C.
6214, Luis_Antonio_Jiménez
100026, Manuel_da_Costa_(footballer)
79070, Marco_Borriello
70345, Marlon_Harewood
4021, Mick_Brown_(musician)
4614, Pavel_Srníček
33498, Savio_Nsereko
77834, Tomáš_Řepka
102763, Valon_Behrami
31048, Walter_Alberto_López
81901, West_Ham_United_F.C.
src, edge_attr, dst
73054, isAffiliatedTo, 77906
73054, isAffiliatedTo, 17887
73054, isAffiliatedTo, 113731
73054, isAffiliatedTo, 14850
73054, isAffiliatedTo, 108498
73054, isAffiliatedTo, 9692
73054, isAffiliatedTo, 1272
73054, isAffiliatedTo, 31799
73054, isAffiliatedTo, 81901
73054, playsFor, 17887
73054, playsFor, 113731
73054, playsFor, 14850
73054, playsFor, 108498
73054, playsFor, 9692
73054, playsFor, 31799
73054, playsFor, 81901
26053, isAffiliatedTo, 31799
26053, isAffiliatedTo, 81901
26053, playsFor, 81901
90227, playsFor, 15614
90227, playsFor, 10679
68175, isAffiliatedTo, 31799
68175, isAffiliatedTo, 81901
68175, playsFor, 31799
68175, playsFor, 81901
20011, isAffiliatedTo, 17887
20011, isAffiliatedTo, 81901
20011, playsFor, 17887
20011, playsFor, 81901
76148, isAffiliatedTo, 113731
76148, isAffiliatedTo, 81901
76148, playsFor, 113731
76148, playsFor, 81901
62988, isAffiliatedTo, 108498
62988, isAffiliatedTo, 81901
62988, playsFor, 108498
62988, playsFor, 81901
20121, isAffiliatedTo, 108498
20121, isAffiliatedTo, 81901
20121, playsFor, 108498
20121, playsFor, 81901
42557, isAffiliatedTo, 31799
42557, isAffiliatedTo, 81901
42557, playsFor, 31799
7781, isAffiliatedTo, 40391
7781, isAffiliatedTo, 79126
7781, isAffiliatedTo, 81898
7781, isAffiliatedTo, 10679
7781, playsFor, 40391
7781, playsFor, 79126
7781, playsFor, 81898
7781, playsFor, 10679
104520, isAffiliatedTo, 15614
104520, isAffiliatedTo, 40391
104520, isAffiliatedTo, 79126
104520, isAffiliatedTo, 81898
104520, isAffiliatedTo, 10679
104520, isAffiliatedTo, 81901
104520, playsFor, 15614
104520, playsFor, 40391
104520, playsFor, 79126
104520, playsFor, 81898
104520, playsFor, 10679
6214, isAffiliatedTo, 77906
6214, isAffiliatedTo, 113731
6214, isAffiliatedTo, 81901
6214, playsFor, 113731
6214, playsFor, 81901
100026, isAffiliatedTo, 77906
100026, isAffiliatedTo, 113731
100026, isAffiliatedTo, 81901
100026, playsFor, 113731
100026, playsFor, 81901
79070, isAffiliatedTo, 9692
79070, isAffiliatedTo, 31799
79070, isAffiliatedTo, 81901
79070, playsFor, 9692
79070, playsFor, 31799
79070, playsFor, 81901
70345, isAffiliatedTo, 1272
70345, isAffiliatedTo, 81901
70345, playsFor, 81901
4021, playsFor, 113731
4021, playsFor, 14850
4021, playsFor, 108498
4021, playsFor, 81901
4614, isAffiliatedTo, 108498
4614, isAffiliatedTo, 81901
4614, playsFor, 108498
4614, playsFor, 81901
33498, isAffiliatedTo, 77906
33498, isAffiliatedTo, 113731
33498, isAffiliatedTo, 14850
33498, isAffiliatedTo, 108498
33498, isAffiliatedTo, 81901
33498, playsFor, 113731
33498, playsFor, 14850
33498, playsFor, 108498
33498, playsFor, 81901
77834, isAffiliatedTo, 77906
77834, isAffiliatedTo, 113731
77834, isAffiliatedTo, 81901
77834, playsFor, 113731
77834, playsFor, 81901
102763, isAffiliatedTo, 77906
102763, isAffiliatedTo, 113731
102763, isAffiliatedTo, 81901
102763, playsFor, 113731
102763, playsFor, 81901
31048, isAffiliatedTo, 108498
31048, isAffiliatedTo, 81901
31048, playsFor, 108498
31048, playsFor, 81901
Question: How are Alessandro_Diamanti and Lowestoft_Town_F.C. related?
Your output must be ONLY the PATH block.
| graph_path | {
"style": "rule"
} | {
"entities": [
"Alessandro_Diamanti",
"Lowestoft_Town_F.C."
],
"valid_edges": [
[
"Alessandro_Diamanti",
"isAffiliatedTo",
"A.C.F._Fiorentina"
],
[
"Alessandro_Diamanti",
"isAffiliatedTo",
"A.S._Livorno_Calcio"
],
[
"Alessandro_Diamanti",
"isAffiliatedTo",
"ACF_Fiorentina"
],
[
"Alessandro_Diamanti",
"isAffiliatedTo",
"Bologna_F.C._1909"
],
[
"Alessandro_Diamanti",
"isAffiliatedTo",
"Brescia_Calcio"
],
[
"Alessandro_Diamanti",
"isAffiliatedTo",
"Empoli_F.C."
],
[
"Alessandro_Diamanti",
"isAffiliatedTo",
"Guangzhou_Evergrande"
],
[
"Alessandro_Diamanti",
"isAffiliatedTo",
"Italy_national_football_team"
],
[
"Alessandro_Diamanti",
"isAffiliatedTo",
"West_Ham_United_F.C."
],
[
"Alessandro_Diamanti",
"playsFor",
"A.S._Livorno_Calcio"
],
[
"Alessandro_Diamanti",
"playsFor",
"ACF_Fiorentina"
],
[
"Alessandro_Diamanti",
"playsFor",
"Bologna_F.C._1909"
],
[
"Alessandro_Diamanti",
"playsFor",
"Brescia_Calcio"
],
[
"Alessandro_Diamanti",
"playsFor",
"Empoli_F.C."
],
[
"Alessandro_Diamanti",
"playsFor",
"Italy_national_football_team"
],
[
"Alessandro_Diamanti",
"playsFor",
"West_Ham_United_F.C."
],
[
"Antonio_Nocerino",
"isAffiliatedTo",
"Italy_national_football_team"
],
[
"Antonio_Nocerino",
"isAffiliatedTo",
"West_Ham_United_F.C."
],
[
"Antonio_Nocerino",
"playsFor",
"West_Ham_United_F.C."
],
[
"Bradley_Woods-Garness",
"playsFor",
"Billericay_Town_F.C."
],
[
"Bradley_Woods-Garness",
"playsFor",
"Lowestoft_Town_F.C."
],
[
"David_Di_Michele",
"isAffiliatedTo",
"Italy_national_football_team"
],
[
"David_Di_Michele",
"isAffiliatedTo",
"West_Ham_United_F.C."
],
[
"David_Di_Michele",
"playsFor",
"Italy_national_football_team"
],
[
"David_Di_Michele",
"playsFor",
"West_Ham_United_F.C."
],
[
"Diego_Tristán",
"isAffiliatedTo",
"A.S._Livorno_Calcio"
],
[
"Diego_Tristán",
"isAffiliatedTo",
"West_Ham_United_F.C."
],
[
"Diego_Tristán",
"playsFor",
"A.S._Livorno_Calcio"
],
[
"Diego_Tristán",
"playsFor",
"West_Ham_United_F.C."
],
[
"Emmanuel_Cascione",
"isAffiliatedTo",
"ACF_Fiorentina"
],
[
"Emmanuel_Cascione",
"isAffiliatedTo",
"West_Ham_United_F.C."
],
[
"Emmanuel_Cascione",
"playsFor",
"ACF_Fiorentina"
],
[
"Emmanuel_Cascione",
"playsFor",
"West_Ham_United_F.C."
],
[
"Fabio_Daprelà",
"isAffiliatedTo",
"Brescia_Calcio"
],
[
"Fabio_Daprelà",
"isAffiliatedTo",
"West_Ham_United_F.C."
],
[
"Fabio_Daprelà",
"playsFor",
"Brescia_Calcio"
],
[
"Fabio_Daprelà",
"playsFor",
"West_Ham_United_F.C."
],
[
"Florin_Răducioiu",
"isAffiliatedTo",
"Brescia_Calcio"
],
[
"Florin_Răducioiu",
"isAffiliatedTo",
"West_Ham_United_F.C."
],
[
"Florin_Răducioiu",
"playsFor",
"Brescia_Calcio"
],
[
"Florin_Răducioiu",
"playsFor",
"West_Ham_United_F.C."
],
[
"Gianfranco_Zola",
"isAffiliatedTo",
"Italy_national_football_team"
],
[
"Gianfranco_Zola",
"isAffiliatedTo",
"West_Ham_United_F.C."
],
[
"Gianfranco_Zola",
"playsFor",
"Italy_national_football_team"
],
[
"Jefferson_Louis",
"isAffiliatedTo",
"Brackley_Town_F.C."
],
[
"Jefferson_Louis",
"isAffiliatedTo",
"Ebbsfleet_United_F.C."
],
[
"Jefferson_Louis",
"isAffiliatedTo",
"Hendon_F.C."
],
[
"Jefferson_Louis",
"isAffiliatedTo",
"Lowestoft_Town_F.C."
],
[
"Jefferson_Louis",
"playsFor",
"Brackley_Town_F.C."
],
[
"Jefferson_Louis",
"playsFor",
"Ebbsfleet_United_F.C."
],
[
"Jefferson_Louis",
"playsFor",
"Hendon_F.C."
],
[
"Jefferson_Louis",
"playsFor",
"Lowestoft_Town_F.C."
],
[
"Joe_Benjamin_(footballer)",
"isAffiliatedTo",
"Billericay_Town_F.C."
],
[
"Joe_Benjamin_(footballer)",
"isAffiliatedTo",
"Brackley_Town_F.C."
],
[
"Joe_Benjamin_(footballer)",
"isAffiliatedTo",
"Ebbsfleet_United_F.C."
],
[
"Joe_Benjamin_(footballer)",
"isAffiliatedTo",
"Hendon_F.C."
],
[
"Joe_Benjamin_(footballer)",
"isAffiliatedTo",
"Lowestoft_Town_F.C."
],
[
"Joe_Benjamin_(footballer)",
"isAffiliatedTo",
"West_Ham_United_F.C."
],
[
"Joe_Benjamin_(footballer)",
"playsFor",
"Billericay_Town_F.C."
],
[
"Joe_Benjamin_(footballer)",
"playsFor",
"Brackley_Town_F.C."
],
[
"Joe_Benjamin_(footballer)",
"playsFor",
"Ebbsfleet_United_F.C."
],
[
"Joe_Benjamin_(footballer)",
"playsFor",
"Hendon_F.C."
],
[
"Joe_Benjamin_(footballer)",
"playsFor",
"Lowestoft_Town_F.C."
],
[
"Luis_Antonio_Jiménez",
"isAffiliatedTo",
"A.C.F._Fiorentina"
],
[
"Luis_Antonio_Jiménez",
"isAffiliatedTo",
"ACF_Fiorentina"
],
[
"Luis_Antonio_Jiménez",
"isAffiliatedTo",
"West_Ham_United_F.C."
],
[
"Luis_Antonio_Jiménez",
"playsFor",
"ACF_Fiorentina"
],
[
"Luis_Antonio_Jiménez",
"playsFor",
"West_Ham_United_F.C."
],
[
"Manuel_da_Costa_(footballer)",
"isAffiliatedTo",
"A.C.F._Fiorentina"
],
[
"Manuel_da_Costa_(footballer)",
"isAffiliatedTo",
"ACF_Fiorentina"
],
[
"Manuel_da_Costa_(footballer)",
"isAffiliatedTo",
"West_Ham_United_F.C."
],
[
"Manuel_da_Costa_(footballer)",
"playsFor",
"ACF_Fiorentina"
],
[
"Manuel_da_Costa_(footballer)",
"playsFor",
"West_Ham_United_F.C."
],
[
"Marco_Borriello",
"isAffiliatedTo",
"Empoli_F.C."
],
[
"Marco_Borriello",
"isAffiliatedTo",
"Italy_national_football_team"
],
[
"Marco_Borriello",
"isAffiliatedTo",
"West_Ham_United_F.C."
],
[
"Marco_Borriello",
"playsFor",
"Empoli_F.C."
],
[
"Marco_Borriello",
"playsFor",
"Italy_national_football_team"
],
[
"Marco_Borriello",
"playsFor",
"West_Ham_United_F.C."
],
[
"Marlon_Harewood",
"isAffiliatedTo",
"Guangzhou_Evergrande"
],
[
"Marlon_Harewood",
"isAffiliatedTo",
"West_Ham_United_F.C."
],
[
"Marlon_Harewood",
"playsFor",
"West_Ham_United_F.C."
],
[
"Mick_Brown_(musician)",
"playsFor",
"ACF_Fiorentina"
],
[
"Mick_Brown_(musician)",
"playsFor",
"Bologna_F.C._1909"
],
[
"Mick_Brown_(musician)",
"playsFor",
"Brescia_Calcio"
],
[
"Mick_Brown_(musician)",
"playsFor",
"West_Ham_United_F.C."
],
[
"Pavel_Srníček",
"isAffiliatedTo",
"Brescia_Calcio"
],
[
"Pavel_Srníček",
"isAffiliatedTo",
"West_Ham_United_F.C."
],
[
"Pavel_Srníček",
"playsFor",
"Brescia_Calcio"
],
[
"Pavel_Srníček",
"playsFor",
"West_Ham_United_F.C."
],
[
"Savio_Nsereko",
"isAffiliatedTo",
"A.C.F._Fiorentina"
],
[
"Savio_Nsereko",
"isAffiliatedTo",
"ACF_Fiorentina"
],
[
"Savio_Nsereko",
"isAffiliatedTo",
"Bologna_F.C._1909"
],
[
"Savio_Nsereko",
"isAffiliatedTo",
"Brescia_Calcio"
],
[
"Savio_Nsereko",
"isAffiliatedTo",
"West_Ham_United_F.C."
],
[
"Savio_Nsereko",
"playsFor",
"ACF_Fiorentina"
],
[
"Savio_Nsereko",
"playsFor",
"Bologna_F.C._1909"
],
[
"Savio_Nsereko",
"playsFor",
"Brescia_Calcio"
],
[
"Savio_Nsereko",
"playsFor",
"West_Ham_United_F.C."
],
[
"Tomáš_Řepka",
"isAffiliatedTo",
"A.C.F._Fiorentina"
],
[
"Tomáš_Řepka",
"isAffiliatedTo",
"ACF_Fiorentina"
],
[
"Tomáš_Řepka",
"isAffiliatedTo",
"West_Ham_United_F.C."
],
[
"Tomáš_Řepka",
"playsFor",
"ACF_Fiorentina"
],
[
"Tomáš_Řepka",
"playsFor",
"West_Ham_United_F.C."
],
[
"Valon_Behrami",
"isAffiliatedTo",
"A.C.F._Fiorentina"
],
[
"Valon_Behrami",
"isAffiliatedTo",
"ACF_Fiorentina"
],
[
"Valon_Behrami",
"isAffiliatedTo",
"West_Ham_United_F.C."
],
[
"Valon_Behrami",
"playsFor",
"ACF_Fiorentina"
],
[
"Valon_Behrami",
"playsFor",
"West_Ham_United_F.C."
],
[
"Walter_Alberto_López",
"isAffiliatedTo",
"Brescia_Calcio"
],
[
"Walter_Alberto_López",
"isAffiliatedTo",
"West_Ham_United_F.C."
],
[
"Walter_Alberto_López",
"playsFor",
"Brescia_Calcio"
],
[
"Walter_Alberto_López",
"playsFor",
"West_Ham_United_F.C."
]
],
"ground_truth": [],
"gt_cost": null
} |
YAGO |
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
78819, California
24206, Camp_Cucamonga
42262, Cerritos,_California
36794, Chad_Allen_(actor)
52936, Jennifer_Aniston
67689, Kristen_Stewart
110262, Los_Angeles
68276, Los_Angeles_County,_California
src, edge_attr, dst
78819, hasCapital, 110262
42262, isLocatedIn, 78819
42262, isLocatedIn, 68276
36794, actedIn, 24206
36794, wasBornIn, 42262
52936, actedIn, 24206
52936, wasBornIn, 110262
67689, wasBornIn, 110262
110262, isLocatedIn, 78819
110262, isLocatedIn, 68276
Question: For what reason are Chad_Allen_(actor) and Kristen_Stewart associated?
Your output must be ONLY the PATH block.
| graph_path | {
"style": "rule"
} | {
"entities": [
"Chad_Allen_(actor)",
"Kristen_Stewart"
],
"valid_edges": [
[
"California",
"hasCapital",
"Los_Angeles"
],
[
"Cerritos,_California",
"isLocatedIn",
"California"
],
[
"Cerritos,_California",
"isLocatedIn",
"Los_Angeles_County,_California"
],
[
"Chad_Allen_(actor)",
"actedIn",
"Camp_Cucamonga"
],
[
"Chad_Allen_(actor)",
"wasBornIn",
"Cerritos,_California"
],
[
"Jennifer_Aniston",
"actedIn",
"Camp_Cucamonga"
],
[
"Jennifer_Aniston",
"wasBornIn",
"Los_Angeles"
],
[
"Kristen_Stewart",
"wasBornIn",
"Los_Angeles"
],
[
"Los_Angeles",
"isLocatedIn",
"California"
],
[
"Los_Angeles",
"isLocatedIn",
"Los_Angeles_County,_California"
]
],
"ground_truth": [],
"gt_cost": null
} |
YAGO |
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
44238, Brisbane_Airport
94636, Essendon_Airport
65489, Incheon
8345, Incheon_International_Airport
44148, Lee_Chun-soo
src, edge_attr, dst
44238, isConnectedTo, 8345
94636, isConnectedTo, 44238
8345, isConnectedTo, 44238
8345, isLocatedIn, 65489
44148, wasBornIn, 65489
Question: How are Essendon_Airport and Lee_Chun-soo related?
Your output must be ONLY the PATH block.
| graph_path | {
"style": "rule"
} | {
"entities": [
"Essendon_Airport",
"Lee_Chun-soo"
],
"valid_edges": [
[
"Brisbane_Airport",
"isConnectedTo",
"Incheon_International_Airport"
],
[
"Essendon_Airport",
"isConnectedTo",
"Brisbane_Airport"
],
[
"Incheon_International_Airport",
"isConnectedTo",
"Brisbane_Airport"
],
[
"Incheon_International_Airport",
"isLocatedIn",
"Incheon"
],
[
"Lee_Chun-soo",
"wasBornIn",
"Incheon"
]
],
"ground_truth": [],
"gt_cost": null
} |
YAGO |
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
71052, Birol_Aksancak
21407, Duke_Louis_of_Württemberg
118104, male
src, edge_attr, dst
71052, hasGender, 118104
21407, hasGender, 118104
Question: For what reason are Birol_Aksancak and Duke_Louis_of_Württemberg associated?
Your output must be ONLY the PATH block.
| graph_path | {
"style": "rule"
} | {
"entities": [
"Birol_Aksancak",
"Duke_Louis_of_Württemberg"
],
"valid_edges": [
[
"Birol_Aksancak",
"hasGender",
"male"
],
[
"Duke_Louis_of_Württemberg",
"hasGender",
"male"
]
],
"ground_truth": [],
"gt_cost": null
} |
YAGO |
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
65669, Ahmet_Dursun
10194, Vahagn_Minasyan
118104, male
src, edge_attr, dst
65669, hasGender, 118104
10194, hasGender, 118104
Question: For what reason are Ahmet_Dursun and Vahagn_Minasyan associated?
Your output must be ONLY the PATH block.
| graph_path | {
"style": "rule"
} | {
"entities": [
"Ahmet_Dursun",
"Vahagn_Minasyan"
],
"valid_edges": [
[
"Ahmet_Dursun",
"hasGender",
"male"
],
[
"Vahagn_Minasyan",
"hasGender",
"male"
]
],
"ground_truth": [],
"gt_cost": null
} |
YAGO |
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
46826, Adis_Jahović
20072, Admir_Raščić
75860, Admir_Softić
51020, Adnan_Gušo
40540, Albin_Pelak
81646, Alen_Bašić
122945, Alexis_Nicolas
25934, Chelsea_F.C.
36366, Dalibor_Pandža
91816, Edin_Husić
69739, Elvir_Baljić
100019, Emir_Hadžić
70735, Enes_Mešanović
111656, Ensar_Arifović
7122, FK_Sarajevo
2592, FK_Željezničar_Sarajevo
17317, Fahrija_Dautbegović
62478, Faruk_Ihtijarević
115541, Feđa_Dudić
34953, Filip_Lončarić
44108, GNK_Dinamo_Zagreb
81970, Haris_Škoro
61333, Jasminko_Velić
86947, Lev_Mantula
8602, Marcel_Žigante
70323, Mario_Barić
92810, Mario_Stanić
17036, Matej_Delač
1932, Matija_Matko
98667, Mirsad_Baljić
50864, Mirsad_Fazlagić
36665, Mirza_Mešić
60500, Nermin_Vazda
112461, Nermin_Šabić
78412, Omer_Joldić
81033, Radmilo_Mihajlović
98406, Said_Husejinović
48137, Samir_Duro
82936, Sead_Kapetanović
44809, Veldin_Karić
74662, Vlado_Čapljić
119213, Željko_Pavlović
src, edge_attr, dst
46826, playsFor, 7122
46826, playsFor, 2592
20072, isAffiliatedTo, 7122
20072, isAffiliatedTo, 2592
20072, playsFor, 7122
20072, playsFor, 2592
75860, isAffiliatedTo, 7122
75860, isAffiliatedTo, 2592
75860, playsFor, 7122
75860, playsFor, 2592
51020, isAffiliatedTo, 7122
51020, isAffiliatedTo, 2592
51020, playsFor, 7122
51020, playsFor, 2592
40540, isAffiliatedTo, 7122
40540, isAffiliatedTo, 2592
40540, isAffiliatedTo, 44108
40540, playsFor, 7122
40540, playsFor, 2592
40540, playsFor, 44108
81646, isAffiliatedTo, 7122
81646, isAffiliatedTo, 2592
81646, playsFor, 7122
81646, playsFor, 2592
122945, isAffiliatedTo, 25934
122945, playsFor, 25934
36366, isAffiliatedTo, 7122
36366, isAffiliatedTo, 44108
36366, playsFor, 7122
36366, playsFor, 44108
91816, isAffiliatedTo, 7122
91816, isAffiliatedTo, 44108
91816, playsFor, 7122
91816, playsFor, 44108
69739, isAffiliatedTo, 7122
69739, isAffiliatedTo, 2592
69739, playsFor, 7122
100019, isAffiliatedTo, 7122
100019, isAffiliatedTo, 2592
100019, playsFor, 7122
100019, playsFor, 2592
70735, isAffiliatedTo, 7122
70735, isAffiliatedTo, 44108
70735, playsFor, 7122
70735, playsFor, 44108
111656, isAffiliatedTo, 7122
111656, isAffiliatedTo, 2592
111656, playsFor, 7122
111656, playsFor, 2592
17317, isAffiliatedTo, 7122
17317, isAffiliatedTo, 44108
17317, playsFor, 7122
17317, playsFor, 44108
62478, isAffiliatedTo, 7122
62478, isAffiliatedTo, 2592
62478, playsFor, 7122
62478, playsFor, 2592
115541, playsFor, 7122
115541, playsFor, 2592
34953, isAffiliatedTo, 2592
34953, isAffiliatedTo, 44108
34953, playsFor, 2592
34953, playsFor, 44108
81970, isAffiliatedTo, 2592
81970, isAffiliatedTo, 44108
81970, playsFor, 2592
81970, playsFor, 44108
61333, isAffiliatedTo, 7122
61333, isAffiliatedTo, 2592
61333, playsFor, 7122
61333, playsFor, 2592
86947, isAffiliatedTo, 7122
86947, isAffiliatedTo, 44108
86947, playsFor, 7122
86947, playsFor, 44108
8602, isAffiliatedTo, 7122
8602, isAffiliatedTo, 2592
8602, isAffiliatedTo, 44108
8602, playsFor, 7122
8602, playsFor, 2592
8602, playsFor, 44108
70323, playsFor, 7122
70323, playsFor, 44108
92810, isAffiliatedTo, 25934
92810, isAffiliatedTo, 2592
92810, isAffiliatedTo, 44108
92810, playsFor, 25934
92810, playsFor, 2592
92810, playsFor, 44108
17036, isAffiliatedTo, 25934
17036, playsFor, 25934
17036, playsFor, 7122
1932, isAffiliatedTo, 7122
1932, isAffiliatedTo, 44108
1932, playsFor, 7122
98667, isAffiliatedTo, 7122
98667, isAffiliatedTo, 2592
98667, playsFor, 2592
50864, isAffiliatedTo, 7122
50864, isAffiliatedTo, 2592
50864, playsFor, 7122
50864, playsFor, 2592
36665, isAffiliatedTo, 7122
36665, isAffiliatedTo, 2592
36665, playsFor, 7122
36665, playsFor, 2592
60500, isAffiliatedTo, 7122
60500, isAffiliatedTo, 2592
60500, playsFor, 7122
60500, playsFor, 2592
112461, isAffiliatedTo, 2592
112461, isAffiliatedTo, 44108
112461, playsFor, 2592
112461, playsFor, 44108
78412, isAffiliatedTo, 7122
78412, isAffiliatedTo, 2592
78412, playsFor, 7122
78412, playsFor, 2592
81033, isAffiliatedTo, 2592
81033, isAffiliatedTo, 44108
81033, playsFor, 2592
81033, playsFor, 44108
98406, isAffiliatedTo, 7122
98406, isAffiliatedTo, 44108
98406, playsFor, 7122
98406, playsFor, 44108
48137, isAffiliatedTo, 7122
48137, isAffiliatedTo, 2592
48137, playsFor, 7122
48137, playsFor, 2592
82936, isAffiliatedTo, 7122
82936, isAffiliatedTo, 2592
82936, playsFor, 7122
82936, playsFor, 2592
44809, isAffiliatedTo, 2592
44809, isAffiliatedTo, 44108
44809, playsFor, 2592
44809, playsFor, 44108
74662, isAffiliatedTo, 2592
74662, isAffiliatedTo, 44108
74662, playsFor, 2592
74662, playsFor, 44108
119213, isAffiliatedTo, 2592
119213, isAffiliatedTo, 44108
119213, playsFor, 2592
119213, playsFor, 44108
Question: For what reason are Alexis_Nicolas and Marcel_Žigante associated?
Your output must be ONLY the PATH block.
| graph_path | {
"style": "rule"
} | {
"entities": [
"Alexis_Nicolas",
"Marcel_Žigante"
],
"valid_edges": [
[
"Adis_Jahović",
"playsFor",
"FK_Sarajevo"
],
[
"Adis_Jahović",
"playsFor",
"FK_Željezničar_Sarajevo"
],
[
"Admir_Raščić",
"isAffiliatedTo",
"FK_Sarajevo"
],
[
"Admir_Raščić",
"isAffiliatedTo",
"FK_Željezničar_Sarajevo"
],
[
"Admir_Raščić",
"playsFor",
"FK_Sarajevo"
],
[
"Admir_Raščić",
"playsFor",
"FK_Željezničar_Sarajevo"
],
[
"Admir_Softić",
"isAffiliatedTo",
"FK_Sarajevo"
],
[
"Admir_Softić",
"isAffiliatedTo",
"FK_Željezničar_Sarajevo"
],
[
"Admir_Softić",
"playsFor",
"FK_Sarajevo"
],
[
"Admir_Softić",
"playsFor",
"FK_Željezničar_Sarajevo"
],
[
"Adnan_Gušo",
"isAffiliatedTo",
"FK_Sarajevo"
],
[
"Adnan_Gušo",
"isAffiliatedTo",
"FK_Željezničar_Sarajevo"
],
[
"Adnan_Gušo",
"playsFor",
"FK_Sarajevo"
],
[
"Adnan_Gušo",
"playsFor",
"FK_Željezničar_Sarajevo"
],
[
"Albin_Pelak",
"isAffiliatedTo",
"FK_Sarajevo"
],
[
"Albin_Pelak",
"isAffiliatedTo",
"FK_Željezničar_Sarajevo"
],
[
"Albin_Pelak",
"isAffiliatedTo",
"GNK_Dinamo_Zagreb"
],
[
"Albin_Pelak",
"playsFor",
"FK_Sarajevo"
],
[
"Albin_Pelak",
"playsFor",
"FK_Željezničar_Sarajevo"
],
[
"Albin_Pelak",
"playsFor",
"GNK_Dinamo_Zagreb"
],
[
"Alen_Bašić",
"isAffiliatedTo",
"FK_Sarajevo"
],
[
"Alen_Bašić",
"isAffiliatedTo",
"FK_Željezničar_Sarajevo"
],
[
"Alen_Bašić",
"playsFor",
"FK_Sarajevo"
],
[
"Alen_Bašić",
"playsFor",
"FK_Željezničar_Sarajevo"
],
[
"Alexis_Nicolas",
"isAffiliatedTo",
"Chelsea_F.C."
],
[
"Alexis_Nicolas",
"playsFor",
"Chelsea_F.C."
],
[
"Dalibor_Pandža",
"isAffiliatedTo",
"FK_Sarajevo"
],
[
"Dalibor_Pandža",
"isAffiliatedTo",
"GNK_Dinamo_Zagreb"
],
[
"Dalibor_Pandža",
"playsFor",
"FK_Sarajevo"
],
[
"Dalibor_Pandža",
"playsFor",
"GNK_Dinamo_Zagreb"
],
[
"Edin_Husić",
"isAffiliatedTo",
"FK_Sarajevo"
],
[
"Edin_Husić",
"isAffiliatedTo",
"GNK_Dinamo_Zagreb"
],
[
"Edin_Husić",
"playsFor",
"FK_Sarajevo"
],
[
"Edin_Husić",
"playsFor",
"GNK_Dinamo_Zagreb"
],
[
"Elvir_Baljić",
"isAffiliatedTo",
"FK_Sarajevo"
],
[
"Elvir_Baljić",
"isAffiliatedTo",
"FK_Željezničar_Sarajevo"
],
[
"Elvir_Baljić",
"playsFor",
"FK_Sarajevo"
],
[
"Emir_Hadžić",
"isAffiliatedTo",
"FK_Sarajevo"
],
[
"Emir_Hadžić",
"isAffiliatedTo",
"FK_Željezničar_Sarajevo"
],
[
"Emir_Hadžić",
"playsFor",
"FK_Sarajevo"
],
[
"Emir_Hadžić",
"playsFor",
"FK_Željezničar_Sarajevo"
],
[
"Enes_Mešanović",
"isAffiliatedTo",
"FK_Sarajevo"
],
[
"Enes_Mešanović",
"isAffiliatedTo",
"GNK_Dinamo_Zagreb"
],
[
"Enes_Mešanović",
"playsFor",
"FK_Sarajevo"
],
[
"Enes_Mešanović",
"playsFor",
"GNK_Dinamo_Zagreb"
],
[
"Ensar_Arifović",
"isAffiliatedTo",
"FK_Sarajevo"
],
[
"Ensar_Arifović",
"isAffiliatedTo",
"FK_Željezničar_Sarajevo"
],
[
"Ensar_Arifović",
"playsFor",
"FK_Sarajevo"
],
[
"Ensar_Arifović",
"playsFor",
"FK_Željezničar_Sarajevo"
],
[
"Fahrija_Dautbegović",
"isAffiliatedTo",
"FK_Sarajevo"
],
[
"Fahrija_Dautbegović",
"isAffiliatedTo",
"GNK_Dinamo_Zagreb"
],
[
"Fahrija_Dautbegović",
"playsFor",
"FK_Sarajevo"
],
[
"Fahrija_Dautbegović",
"playsFor",
"GNK_Dinamo_Zagreb"
],
[
"Faruk_Ihtijarević",
"isAffiliatedTo",
"FK_Sarajevo"
],
[
"Faruk_Ihtijarević",
"isAffiliatedTo",
"FK_Željezničar_Sarajevo"
],
[
"Faruk_Ihtijarević",
"playsFor",
"FK_Sarajevo"
],
[
"Faruk_Ihtijarević",
"playsFor",
"FK_Željezničar_Sarajevo"
],
[
"Feđa_Dudić",
"playsFor",
"FK_Sarajevo"
],
[
"Feđa_Dudić",
"playsFor",
"FK_Željezničar_Sarajevo"
],
[
"Filip_Lončarić",
"isAffiliatedTo",
"FK_Željezničar_Sarajevo"
],
[
"Filip_Lončarić",
"isAffiliatedTo",
"GNK_Dinamo_Zagreb"
],
[
"Filip_Lončarić",
"playsFor",
"FK_Željezničar_Sarajevo"
],
[
"Filip_Lončarić",
"playsFor",
"GNK_Dinamo_Zagreb"
],
[
"Haris_Škoro",
"isAffiliatedTo",
"FK_Željezničar_Sarajevo"
],
[
"Haris_Škoro",
"isAffiliatedTo",
"GNK_Dinamo_Zagreb"
],
[
"Haris_Škoro",
"playsFor",
"FK_Željezničar_Sarajevo"
],
[
"Haris_Škoro",
"playsFor",
"GNK_Dinamo_Zagreb"
],
[
"Jasminko_Velić",
"isAffiliatedTo",
"FK_Sarajevo"
],
[
"Jasminko_Velić",
"isAffiliatedTo",
"FK_Željezničar_Sarajevo"
],
[
"Jasminko_Velić",
"playsFor",
"FK_Sarajevo"
],
[
"Jasminko_Velić",
"playsFor",
"FK_Željezničar_Sarajevo"
],
[
"Lev_Mantula",
"isAffiliatedTo",
"FK_Sarajevo"
],
[
"Lev_Mantula",
"isAffiliatedTo",
"GNK_Dinamo_Zagreb"
],
[
"Lev_Mantula",
"playsFor",
"FK_Sarajevo"
],
[
"Lev_Mantula",
"playsFor",
"GNK_Dinamo_Zagreb"
],
[
"Marcel_Žigante",
"isAffiliatedTo",
"FK_Sarajevo"
],
[
"Marcel_Žigante",
"isAffiliatedTo",
"FK_Željezničar_Sarajevo"
],
[
"Marcel_Žigante",
"isAffiliatedTo",
"GNK_Dinamo_Zagreb"
],
[
"Marcel_Žigante",
"playsFor",
"FK_Sarajevo"
],
[
"Marcel_Žigante",
"playsFor",
"FK_Željezničar_Sarajevo"
],
[
"Marcel_Žigante",
"playsFor",
"GNK_Dinamo_Zagreb"
],
[
"Mario_Barić",
"playsFor",
"FK_Sarajevo"
],
[
"Mario_Barić",
"playsFor",
"GNK_Dinamo_Zagreb"
],
[
"Mario_Stanić",
"isAffiliatedTo",
"Chelsea_F.C."
],
[
"Mario_Stanić",
"isAffiliatedTo",
"FK_Željezničar_Sarajevo"
],
[
"Mario_Stanić",
"isAffiliatedTo",
"GNK_Dinamo_Zagreb"
],
[
"Mario_Stanić",
"playsFor",
"Chelsea_F.C."
],
[
"Mario_Stanić",
"playsFor",
"FK_Željezničar_Sarajevo"
],
[
"Mario_Stanić",
"playsFor",
"GNK_Dinamo_Zagreb"
],
[
"Matej_Delač",
"isAffiliatedTo",
"Chelsea_F.C."
],
[
"Matej_Delač",
"playsFor",
"Chelsea_F.C."
],
[
"Matej_Delač",
"playsFor",
"FK_Sarajevo"
],
[
"Matija_Matko",
"isAffiliatedTo",
"FK_Sarajevo"
],
[
"Matija_Matko",
"isAffiliatedTo",
"GNK_Dinamo_Zagreb"
],
[
"Matija_Matko",
"playsFor",
"FK_Sarajevo"
],
[
"Mirsad_Baljić",
"isAffiliatedTo",
"FK_Sarajevo"
],
[
"Mirsad_Baljić",
"isAffiliatedTo",
"FK_Željezničar_Sarajevo"
],
[
"Mirsad_Baljić",
"playsFor",
"FK_Željezničar_Sarajevo"
],
[
"Mirsad_Fazlagić",
"isAffiliatedTo",
"FK_Sarajevo"
],
[
"Mirsad_Fazlagić",
"isAffiliatedTo",
"FK_Željezničar_Sarajevo"
],
[
"Mirsad_Fazlagić",
"playsFor",
"FK_Sarajevo"
],
[
"Mirsad_Fazlagić",
"playsFor",
"FK_Željezničar_Sarajevo"
],
[
"Mirza_Mešić",
"isAffiliatedTo",
"FK_Sarajevo"
],
[
"Mirza_Mešić",
"isAffiliatedTo",
"FK_Željezničar_Sarajevo"
],
[
"Mirza_Mešić",
"playsFor",
"FK_Sarajevo"
],
[
"Mirza_Mešić",
"playsFor",
"FK_Željezničar_Sarajevo"
],
[
"Nermin_Vazda",
"isAffiliatedTo",
"FK_Sarajevo"
],
[
"Nermin_Vazda",
"isAffiliatedTo",
"FK_Željezničar_Sarajevo"
],
[
"Nermin_Vazda",
"playsFor",
"FK_Sarajevo"
],
[
"Nermin_Vazda",
"playsFor",
"FK_Željezničar_Sarajevo"
],
[
"Nermin_Šabić",
"isAffiliatedTo",
"FK_Željezničar_Sarajevo"
],
[
"Nermin_Šabić",
"isAffiliatedTo",
"GNK_Dinamo_Zagreb"
],
[
"Nermin_Šabić",
"playsFor",
"FK_Željezničar_Sarajevo"
],
[
"Nermin_Šabić",
"playsFor",
"GNK_Dinamo_Zagreb"
],
[
"Omer_Joldić",
"isAffiliatedTo",
"FK_Sarajevo"
],
[
"Omer_Joldić",
"isAffiliatedTo",
"FK_Željezničar_Sarajevo"
],
[
"Omer_Joldić",
"playsFor",
"FK_Sarajevo"
],
[
"Omer_Joldić",
"playsFor",
"FK_Željezničar_Sarajevo"
],
[
"Radmilo_Mihajlović",
"isAffiliatedTo",
"FK_Željezničar_Sarajevo"
],
[
"Radmilo_Mihajlović",
"isAffiliatedTo",
"GNK_Dinamo_Zagreb"
],
[
"Radmilo_Mihajlović",
"playsFor",
"FK_Željezničar_Sarajevo"
],
[
"Radmilo_Mihajlović",
"playsFor",
"GNK_Dinamo_Zagreb"
],
[
"Said_Husejinović",
"isAffiliatedTo",
"FK_Sarajevo"
],
[
"Said_Husejinović",
"isAffiliatedTo",
"GNK_Dinamo_Zagreb"
],
[
"Said_Husejinović",
"playsFor",
"FK_Sarajevo"
],
[
"Said_Husejinović",
"playsFor",
"GNK_Dinamo_Zagreb"
],
[
"Samir_Duro",
"isAffiliatedTo",
"FK_Sarajevo"
],
[
"Samir_Duro",
"isAffiliatedTo",
"FK_Željezničar_Sarajevo"
],
[
"Samir_Duro",
"playsFor",
"FK_Sarajevo"
],
[
"Samir_Duro",
"playsFor",
"FK_Željezničar_Sarajevo"
],
[
"Sead_Kapetanović",
"isAffiliatedTo",
"FK_Sarajevo"
],
[
"Sead_Kapetanović",
"isAffiliatedTo",
"FK_Željezničar_Sarajevo"
],
[
"Sead_Kapetanović",
"playsFor",
"FK_Sarajevo"
],
[
"Sead_Kapetanović",
"playsFor",
"FK_Željezničar_Sarajevo"
],
[
"Veldin_Karić",
"isAffiliatedTo",
"FK_Željezničar_Sarajevo"
],
[
"Veldin_Karić",
"isAffiliatedTo",
"GNK_Dinamo_Zagreb"
],
[
"Veldin_Karić",
"playsFor",
"FK_Željezničar_Sarajevo"
],
[
"Veldin_Karić",
"playsFor",
"GNK_Dinamo_Zagreb"
],
[
"Vlado_Čapljić",
"isAffiliatedTo",
"FK_Željezničar_Sarajevo"
],
[
"Vlado_Čapljić",
"isAffiliatedTo",
"GNK_Dinamo_Zagreb"
],
[
"Vlado_Čapljić",
"playsFor",
"FK_Željezničar_Sarajevo"
],
[
"Vlado_Čapljić",
"playsFor",
"GNK_Dinamo_Zagreb"
],
[
"Željko_Pavlović",
"isAffiliatedTo",
"FK_Željezničar_Sarajevo"
],
[
"Željko_Pavlović",
"isAffiliatedTo",
"GNK_Dinamo_Zagreb"
],
[
"Željko_Pavlović",
"playsFor",
"FK_Željezničar_Sarajevo"
],
[
"Željko_Pavlović",
"playsFor",
"GNK_Dinamo_Zagreb"
]
],
"ground_truth": [],
"gt_cost": null
} |
YAGO |
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
104805, Buckethead
43435, C.F._Monterrey
23322, Efraín_Juárez
14309, Steve_Cropper
91903, wordnet_guitar_103467517
src, edge_attr, dst
104805, hasMusicalRole, 91903
104805, playsFor, 43435
23322, isAffiliatedTo, 43435
23322, playsFor, 43435
14309, hasMusicalRole, 91903
Question: How are Efraín_Juárez and Steve_Cropper related?
Your output must be ONLY the PATH block.
| graph_path | {
"style": "rule"
} | {
"entities": [
"Efraín_Juárez",
"Steve_Cropper"
],
"valid_edges": [
[
"Buckethead",
"hasMusicalRole",
"wordnet_guitar_103467517"
],
[
"Buckethead",
"playsFor",
"C.F._Monterrey"
],
[
"Efraín_Juárez",
"isAffiliatedTo",
"C.F._Monterrey"
],
[
"Efraín_Juárez",
"playsFor",
"C.F._Monterrey"
],
[
"Steve_Cropper",
"hasMusicalRole",
"wordnet_guitar_103467517"
]
],
"ground_truth": [],
"gt_cost": null
} |
YAGO |
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
35223, Battle_of_Island_Number_Ten
1615, Charleston,_Missouri
122567, Kentucky
62290, Lancaster,_Kentucky
107730, Mississippi_River
46012, Missouri
src, edge_attr, dst
35223, happenedIn, 122567
35223, happenedIn, 46012
1615, isLocatedIn, 46012
62290, isLocatedIn, 122567
107730, isLocatedIn, 122567
107730, isLocatedIn, 46012
Question: How are Charleston,_Missouri and Lancaster,_Kentucky related?
Your output must be ONLY the PATH block.
| graph_path | {
"style": "rule"
} | {
"entities": [
"Charleston,_Missouri",
"Lancaster,_Kentucky"
],
"valid_edges": [
[
"Battle_of_Island_Number_Ten",
"happenedIn",
"Kentucky"
],
[
"Battle_of_Island_Number_Ten",
"happenedIn",
"Missouri"
],
[
"Charleston,_Missouri",
"isLocatedIn",
"Missouri"
],
[
"Lancaster,_Kentucky",
"isLocatedIn",
"Kentucky"
],
[
"Mississippi_River",
"isLocatedIn",
"Kentucky"
],
[
"Mississippi_River",
"isLocatedIn",
"Missouri"
]
],
"ground_truth": [],
"gt_cost": null
} |
YAGO |
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
104459, Beauceville,_Quebec
69435, Denis_Coderre
110458, Jean_Charest
111362, Jean_Chrétien
22771, Jeffrey_Aubynn
57059, Justin_Trudeau
36229, Marc_Garneau
23740, Paul_Martin
30340, Quebec
16676, René_Lépine
80090, Robert_Layton
122410, Thomas_Mulcair
118104, male
src, edge_attr, dst
104459, isLocatedIn, 30340
69435, hasGender, 118104
69435, livesIn, 30340
110458, hasGender, 118104
110458, livesIn, 30340
111362, hasGender, 118104
111362, livesIn, 30340
22771, hasGender, 118104
57059, hasGender, 118104
57059, livesIn, 30340
36229, hasGender, 118104
36229, livesIn, 30340
23740, hasGender, 118104
23740, livesIn, 30340
16676, hasGender, 118104
16676, livesIn, 30340
80090, hasGender, 118104
80090, livesIn, 30340
122410, hasGender, 118104
122410, livesIn, 30340
Question: In what context are Beauceville,_Quebec and Jeffrey_Aubynn connected?
Your output must be ONLY the PATH block.
| graph_path | {
"style": "rule"
} | {
"entities": [
"Beauceville,_Quebec",
"Jeffrey_Aubynn"
],
"valid_edges": [
[
"Beauceville,_Quebec",
"isLocatedIn",
"Quebec"
],
[
"Denis_Coderre",
"hasGender",
"male"
],
[
"Denis_Coderre",
"livesIn",
"Quebec"
],
[
"Jean_Charest",
"hasGender",
"male"
],
[
"Jean_Charest",
"livesIn",
"Quebec"
],
[
"Jean_Chrétien",
"hasGender",
"male"
],
[
"Jean_Chrétien",
"livesIn",
"Quebec"
],
[
"Jeffrey_Aubynn",
"hasGender",
"male"
],
[
"Justin_Trudeau",
"hasGender",
"male"
],
[
"Justin_Trudeau",
"livesIn",
"Quebec"
],
[
"Marc_Garneau",
"hasGender",
"male"
],
[
"Marc_Garneau",
"livesIn",
"Quebec"
],
[
"Paul_Martin",
"hasGender",
"male"
],
[
"Paul_Martin",
"livesIn",
"Quebec"
],
[
"René_Lépine",
"hasGender",
"male"
],
[
"René_Lépine",
"livesIn",
"Quebec"
],
[
"Robert_Layton",
"hasGender",
"male"
],
[
"Robert_Layton",
"livesIn",
"Quebec"
],
[
"Thomas_Mulcair",
"hasGender",
"male"
],
[
"Thomas_Mulcair",
"livesIn",
"Quebec"
]
],
"ground_truth": [],
"gt_cost": null
} |
YAGO |
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
69492, Aaran_Lines
30994, Alfonso_Ferrabosco_the_younger
98740, Allan_Pearce
85523, Andrew_Boyens
16230, Andrew_Durante
114160, Ben_Sigmund
106834, Cameron_Howieson
4387, Chris_James_(footballer)
91658, Chris_Killen
105171, Chris_Wood_(footballer,_born_1991)
95231, Cole_Peverley
97157, Cole_Tinkler
16883, Craig_Henderson
119013, Daniel_Ellensohn
73707, Dave_Mulligan
107360, David_Kramer_(soccer)
29260, Glen_Moss
2111, Greg_Draper
103161, Ian_Hogg_(footballer)
30775, Ivan_Vicelich
94324, Jacob_Spoonley
39611, Jake_Gleeson
96731, James_Musa
72028, James_Pritchett_(footballer)
50768, Jarrod_Smith
107694, Jeremy_Brockie
55471, Jeremy_Christie
120564, Kosta_Barbarouses
60256, Kris_Bright
72971, LA_Galaxy
21521, Leo_Bertos
116060, Leo_Shin
95382, Marco_Rojas
77411, Mark_Paston
41684, Michael_Boxall
25341, Mohammad_Ghous
66195, Neil_Jones_(footballer)
12806, New_Zealand_national_football_team
17187, New_Zealand_national_under-20_football_team
59371, New_Zealand_national_under-23_football_team
50515, Paul_Urlovic
86200, Ricki_Herbert
4547, Ryan_Nelsen
25180, Sam_Jenkins_(footballer)
3131, Shane_Smeltz
71405, Simon_Elliott
18901, Steven_Old
117673, Tim_Brown_(footballer)
31547, Tim_Payne_(footballer)
74175, Tony_Lochhead
93553, Vaughan_Coveny
43100, Wellington_Phoenix_FC
src, edge_attr, dst
69492, isAffiliatedTo, 12806
69492, isAffiliatedTo, 17187
69492, isAffiliatedTo, 59371
30994, playsFor, 17187
30994, playsFor, 59371
30994, playsFor, 43100
98740, isAffiliatedTo, 12806
98740, isAffiliatedTo, 59371
98740, playsFor, 12806
85523, isAffiliatedTo, 72971
85523, isAffiliatedTo, 12806
85523, isAffiliatedTo, 17187
85523, isAffiliatedTo, 59371
85523, playsFor, 72971
16230, isAffiliatedTo, 12806
16230, isAffiliatedTo, 43100
16230, playsFor, 12806
16230, playsFor, 43100
114160, isAffiliatedTo, 12806
114160, isAffiliatedTo, 17187
114160, isAffiliatedTo, 43100
114160, playsFor, 12806
106834, playsFor, 17187
106834, playsFor, 59371
4387, isAffiliatedTo, 12806
4387, isAffiliatedTo, 17187
91658, isAffiliatedTo, 12806
91658, isAffiliatedTo, 17187
91658, isAffiliatedTo, 59371
91658, playsFor, 12806
91658, playsFor, 59371
105171, playsFor, 12806
105171, playsFor, 59371
95231, isAffiliatedTo, 12806
95231, isAffiliatedTo, 17187
95231, isAffiliatedTo, 59371
97157, isAffiliatedTo, 17187
97157, isAffiliatedTo, 59371
97157, playsFor, 17187
97157, playsFor, 59371
16883, isAffiliatedTo, 12806
16883, isAffiliatedTo, 17187
16883, isAffiliatedTo, 59371
119013, isAffiliatedTo, 12806
119013, isAffiliatedTo, 59371
73707, isAffiliatedTo, 12806
73707, isAffiliatedTo, 17187
73707, isAffiliatedTo, 59371
73707, isAffiliatedTo, 43100
73707, playsFor, 59371
73707, playsFor, 43100
107360, isAffiliatedTo, 72971
107360, playsFor, 72971
29260, isAffiliatedTo, 12806
29260, isAffiliatedTo, 17187
29260, isAffiliatedTo, 59371
29260, isAffiliatedTo, 43100
29260, playsFor, 12806
29260, playsFor, 17187
29260, playsFor, 59371
2111, isAffiliatedTo, 12806
2111, isAffiliatedTo, 17187
2111, isAffiliatedTo, 59371
2111, isAffiliatedTo, 43100
2111, playsFor, 17187
2111, playsFor, 59371
2111, playsFor, 43100
103161, playsFor, 17187
103161, playsFor, 59371
103161, playsFor, 43100
30775, isAffiliatedTo, 12806
30775, isAffiliatedTo, 17187
30775, isAffiliatedTo, 59371
94324, isAffiliatedTo, 12806
94324, isAffiliatedTo, 17187
94324, isAffiliatedTo, 59371
94324, isAffiliatedTo, 43100
94324, playsFor, 12806
94324, playsFor, 17187
94324, playsFor, 59371
94324, playsFor, 43100
39611, isAffiliatedTo, 12806
39611, playsFor, 17187
39611, playsFor, 59371
96731, playsFor, 12806
96731, playsFor, 17187
96731, playsFor, 59371
96731, playsFor, 43100
72028, isAffiliatedTo, 12806
72028, isAffiliatedTo, 59371
72028, playsFor, 12806
72028, playsFor, 59371
50768, isAffiliatedTo, 12806
50768, isAffiliatedTo, 17187
50768, isAffiliatedTo, 59371
107694, isAffiliatedTo, 12806
107694, isAffiliatedTo, 17187
107694, isAffiliatedTo, 59371
107694, isAffiliatedTo, 43100
107694, playsFor, 12806
107694, playsFor, 17187
107694, playsFor, 59371
55471, isAffiliatedTo, 12806
55471, isAffiliatedTo, 17187
55471, isAffiliatedTo, 59371
55471, isAffiliatedTo, 43100
55471, playsFor, 43100
120564, isAffiliatedTo, 12806
120564, isAffiliatedTo, 17187
120564, isAffiliatedTo, 59371
120564, isAffiliatedTo, 43100
120564, playsFor, 17187
120564, playsFor, 59371
60256, isAffiliatedTo, 12806
60256, isAffiliatedTo, 17187
60256, playsFor, 12806
21521, isAffiliatedTo, 12806
21521, isAffiliatedTo, 59371
21521, isAffiliatedTo, 43100
21521, playsFor, 12806
21521, playsFor, 59371
21521, playsFor, 43100
116060, isAffiliatedTo, 17187
116060, isAffiliatedTo, 59371
116060, playsFor, 17187
116060, playsFor, 59371
95382, isAffiliatedTo, 12806
95382, isAffiliatedTo, 43100
95382, playsFor, 12806
95382, playsFor, 17187
95382, playsFor, 59371
95382, playsFor, 43100
77411, isAffiliatedTo, 12806
77411, isAffiliatedTo, 43100
77411, playsFor, 43100
41684, isAffiliatedTo, 12806
41684, isAffiliatedTo, 17187
41684, isAffiliatedTo, 59371
41684, isAffiliatedTo, 43100
41684, playsFor, 12806
41684, playsFor, 17187
41684, playsFor, 59371
41684, playsFor, 43100
25341, playsFor, 12806
25341, playsFor, 59371
25341, playsFor, 43100
66195, isAffiliatedTo, 12806
66195, isAffiliatedTo, 17187
66195, isAffiliatedTo, 59371
50515, isAffiliatedTo, 12806
50515, isAffiliatedTo, 17187
50515, isAffiliatedTo, 59371
86200, isAffiliatedTo, 12806
86200, isAffiliatedTo, 17187
86200, isAffiliatedTo, 43100
4547, isAffiliatedTo, 12806
4547, isAffiliatedTo, 59371
4547, playsFor, 12806
4547, playsFor, 59371
25180, isAffiliatedTo, 17187
25180, isAffiliatedTo, 59371
25180, playsFor, 17187
25180, playsFor, 59371
3131, isAffiliatedTo, 12806
3131, isAffiliatedTo, 17187
3131, isAffiliatedTo, 59371
3131, isAffiliatedTo, 43100
3131, playsFor, 12806
3131, playsFor, 59371
3131, playsFor, 43100
71405, isAffiliatedTo, 72971
71405, isAffiliatedTo, 12806
71405, isAffiliatedTo, 17187
71405, isAffiliatedTo, 59371
71405, isAffiliatedTo, 43100
71405, playsFor, 72971
71405, playsFor, 12806
71405, playsFor, 59371
71405, playsFor, 43100
18901, isAffiliatedTo, 12806
18901, isAffiliatedTo, 17187
18901, isAffiliatedTo, 59371
18901, isAffiliatedTo, 43100
18901, playsFor, 17187
18901, playsFor, 59371
18901, playsFor, 43100
117673, isAffiliatedTo, 12806
117673, isAffiliatedTo, 17187
117673, isAffiliatedTo, 59371
117673, isAffiliatedTo, 43100
117673, playsFor, 12806
117673, playsFor, 43100
31547, playsFor, 17187
31547, playsFor, 59371
74175, isAffiliatedTo, 12806
74175, isAffiliatedTo, 59371
74175, isAffiliatedTo, 43100
74175, playsFor, 43100
93553, isAffiliatedTo, 12806
93553, isAffiliatedTo, 59371
93553, isAffiliatedTo, 43100
93553, playsFor, 12806
93553, playsFor, 43100
Question: How are Dave_Mulligan and David_Kramer_(soccer) related?
Your output must be ONLY the PATH block.
| graph_path | {
"style": "rule"
} | {
"entities": [
"Dave_Mulligan",
"David_Kramer_(soccer)"
],
"valid_edges": [
[
"Aaran_Lines",
"isAffiliatedTo",
"New_Zealand_national_football_team"
],
[
"Aaran_Lines",
"isAffiliatedTo",
"New_Zealand_national_under-20_football_team"
],
[
"Aaran_Lines",
"isAffiliatedTo",
"New_Zealand_national_under-23_football_team"
],
[
"Alfonso_Ferrabosco_the_younger",
"playsFor",
"New_Zealand_national_under-20_football_team"
],
[
"Alfonso_Ferrabosco_the_younger",
"playsFor",
"New_Zealand_national_under-23_football_team"
],
[
"Alfonso_Ferrabosco_the_younger",
"playsFor",
"Wellington_Phoenix_FC"
],
[
"Allan_Pearce",
"isAffiliatedTo",
"New_Zealand_national_football_team"
],
[
"Allan_Pearce",
"isAffiliatedTo",
"New_Zealand_national_under-23_football_team"
],
[
"Allan_Pearce",
"playsFor",
"New_Zealand_national_football_team"
],
[
"Andrew_Boyens",
"isAffiliatedTo",
"LA_Galaxy"
],
[
"Andrew_Boyens",
"isAffiliatedTo",
"New_Zealand_national_football_team"
],
[
"Andrew_Boyens",
"isAffiliatedTo",
"New_Zealand_national_under-20_football_team"
],
[
"Andrew_Boyens",
"isAffiliatedTo",
"New_Zealand_national_under-23_football_team"
],
[
"Andrew_Boyens",
"playsFor",
"LA_Galaxy"
],
[
"Andrew_Durante",
"isAffiliatedTo",
"New_Zealand_national_football_team"
],
[
"Andrew_Durante",
"isAffiliatedTo",
"Wellington_Phoenix_FC"
],
[
"Andrew_Durante",
"playsFor",
"New_Zealand_national_football_team"
],
[
"Andrew_Durante",
"playsFor",
"Wellington_Phoenix_FC"
],
[
"Ben_Sigmund",
"isAffiliatedTo",
"New_Zealand_national_football_team"
],
[
"Ben_Sigmund",
"isAffiliatedTo",
"New_Zealand_national_under-20_football_team"
],
[
"Ben_Sigmund",
"isAffiliatedTo",
"Wellington_Phoenix_FC"
],
[
"Ben_Sigmund",
"playsFor",
"New_Zealand_national_football_team"
],
[
"Cameron_Howieson",
"playsFor",
"New_Zealand_national_under-20_football_team"
],
[
"Cameron_Howieson",
"playsFor",
"New_Zealand_national_under-23_football_team"
],
[
"Chris_James_(footballer)",
"isAffiliatedTo",
"New_Zealand_national_football_team"
],
[
"Chris_James_(footballer)",
"isAffiliatedTo",
"New_Zealand_national_under-20_football_team"
],
[
"Chris_Killen",
"isAffiliatedTo",
"New_Zealand_national_football_team"
],
[
"Chris_Killen",
"isAffiliatedTo",
"New_Zealand_national_under-20_football_team"
],
[
"Chris_Killen",
"isAffiliatedTo",
"New_Zealand_national_under-23_football_team"
],
[
"Chris_Killen",
"playsFor",
"New_Zealand_national_football_team"
],
[
"Chris_Killen",
"playsFor",
"New_Zealand_national_under-23_football_team"
],
[
"Chris_Wood_(footballer,_born_1991)",
"playsFor",
"New_Zealand_national_football_team"
],
[
"Chris_Wood_(footballer,_born_1991)",
"playsFor",
"New_Zealand_national_under-23_football_team"
],
[
"Cole_Peverley",
"isAffiliatedTo",
"New_Zealand_national_football_team"
],
[
"Cole_Peverley",
"isAffiliatedTo",
"New_Zealand_national_under-20_football_team"
],
[
"Cole_Peverley",
"isAffiliatedTo",
"New_Zealand_national_under-23_football_team"
],
[
"Cole_Tinkler",
"isAffiliatedTo",
"New_Zealand_national_under-20_football_team"
],
[
"Cole_Tinkler",
"isAffiliatedTo",
"New_Zealand_national_under-23_football_team"
],
[
"Cole_Tinkler",
"playsFor",
"New_Zealand_national_under-20_football_team"
],
[
"Cole_Tinkler",
"playsFor",
"New_Zealand_national_under-23_football_team"
],
[
"Craig_Henderson",
"isAffiliatedTo",
"New_Zealand_national_football_team"
],
[
"Craig_Henderson",
"isAffiliatedTo",
"New_Zealand_national_under-20_football_team"
],
[
"Craig_Henderson",
"isAffiliatedTo",
"New_Zealand_national_under-23_football_team"
],
[
"Daniel_Ellensohn",
"isAffiliatedTo",
"New_Zealand_national_football_team"
],
[
"Daniel_Ellensohn",
"isAffiliatedTo",
"New_Zealand_national_under-23_football_team"
],
[
"Dave_Mulligan",
"isAffiliatedTo",
"New_Zealand_national_football_team"
],
[
"Dave_Mulligan",
"isAffiliatedTo",
"New_Zealand_national_under-20_football_team"
],
[
"Dave_Mulligan",
"isAffiliatedTo",
"New_Zealand_national_under-23_football_team"
],
[
"Dave_Mulligan",
"isAffiliatedTo",
"Wellington_Phoenix_FC"
],
[
"Dave_Mulligan",
"playsFor",
"New_Zealand_national_under-23_football_team"
],
[
"Dave_Mulligan",
"playsFor",
"Wellington_Phoenix_FC"
],
[
"David_Kramer_(soccer)",
"isAffiliatedTo",
"LA_Galaxy"
],
[
"David_Kramer_(soccer)",
"playsFor",
"LA_Galaxy"
],
[
"Glen_Moss",
"isAffiliatedTo",
"New_Zealand_national_football_team"
],
[
"Glen_Moss",
"isAffiliatedTo",
"New_Zealand_national_under-20_football_team"
],
[
"Glen_Moss",
"isAffiliatedTo",
"New_Zealand_national_under-23_football_team"
],
[
"Glen_Moss",
"isAffiliatedTo",
"Wellington_Phoenix_FC"
],
[
"Glen_Moss",
"playsFor",
"New_Zealand_national_football_team"
],
[
"Glen_Moss",
"playsFor",
"New_Zealand_national_under-20_football_team"
],
[
"Glen_Moss",
"playsFor",
"New_Zealand_national_under-23_football_team"
],
[
"Greg_Draper",
"isAffiliatedTo",
"New_Zealand_national_football_team"
],
[
"Greg_Draper",
"isAffiliatedTo",
"New_Zealand_national_under-20_football_team"
],
[
"Greg_Draper",
"isAffiliatedTo",
"New_Zealand_national_under-23_football_team"
],
[
"Greg_Draper",
"isAffiliatedTo",
"Wellington_Phoenix_FC"
],
[
"Greg_Draper",
"playsFor",
"New_Zealand_national_under-20_football_team"
],
[
"Greg_Draper",
"playsFor",
"New_Zealand_national_under-23_football_team"
],
[
"Greg_Draper",
"playsFor",
"Wellington_Phoenix_FC"
],
[
"Ian_Hogg_(footballer)",
"playsFor",
"New_Zealand_national_under-20_football_team"
],
[
"Ian_Hogg_(footballer)",
"playsFor",
"New_Zealand_national_under-23_football_team"
],
[
"Ian_Hogg_(footballer)",
"playsFor",
"Wellington_Phoenix_FC"
],
[
"Ivan_Vicelich",
"isAffiliatedTo",
"New_Zealand_national_football_team"
],
[
"Ivan_Vicelich",
"isAffiliatedTo",
"New_Zealand_national_under-20_football_team"
],
[
"Ivan_Vicelich",
"isAffiliatedTo",
"New_Zealand_national_under-23_football_team"
],
[
"Jacob_Spoonley",
"isAffiliatedTo",
"New_Zealand_national_football_team"
],
[
"Jacob_Spoonley",
"isAffiliatedTo",
"New_Zealand_national_under-20_football_team"
],
[
"Jacob_Spoonley",
"isAffiliatedTo",
"New_Zealand_national_under-23_football_team"
],
[
"Jacob_Spoonley",
"isAffiliatedTo",
"Wellington_Phoenix_FC"
],
[
"Jacob_Spoonley",
"playsFor",
"New_Zealand_national_football_team"
],
[
"Jacob_Spoonley",
"playsFor",
"New_Zealand_national_under-20_football_team"
],
[
"Jacob_Spoonley",
"playsFor",
"New_Zealand_national_under-23_football_team"
],
[
"Jacob_Spoonley",
"playsFor",
"Wellington_Phoenix_FC"
],
[
"Jake_Gleeson",
"isAffiliatedTo",
"New_Zealand_national_football_team"
],
[
"Jake_Gleeson",
"playsFor",
"New_Zealand_national_under-20_football_team"
],
[
"Jake_Gleeson",
"playsFor",
"New_Zealand_national_under-23_football_team"
],
[
"James_Musa",
"playsFor",
"New_Zealand_national_football_team"
],
[
"James_Musa",
"playsFor",
"New_Zealand_national_under-20_football_team"
],
[
"James_Musa",
"playsFor",
"New_Zealand_national_under-23_football_team"
],
[
"James_Musa",
"playsFor",
"Wellington_Phoenix_FC"
],
[
"James_Pritchett_(footballer)",
"isAffiliatedTo",
"New_Zealand_national_football_team"
],
[
"James_Pritchett_(footballer)",
"isAffiliatedTo",
"New_Zealand_national_under-23_football_team"
],
[
"James_Pritchett_(footballer)",
"playsFor",
"New_Zealand_national_football_team"
],
[
"James_Pritchett_(footballer)",
"playsFor",
"New_Zealand_national_under-23_football_team"
],
[
"Jarrod_Smith",
"isAffiliatedTo",
"New_Zealand_national_football_team"
],
[
"Jarrod_Smith",
"isAffiliatedTo",
"New_Zealand_national_under-20_football_team"
],
[
"Jarrod_Smith",
"isAffiliatedTo",
"New_Zealand_national_under-23_football_team"
],
[
"Jeremy_Brockie",
"isAffiliatedTo",
"New_Zealand_national_football_team"
],
[
"Jeremy_Brockie",
"isAffiliatedTo",
"New_Zealand_national_under-20_football_team"
],
[
"Jeremy_Brockie",
"isAffiliatedTo",
"New_Zealand_national_under-23_football_team"
],
[
"Jeremy_Brockie",
"isAffiliatedTo",
"Wellington_Phoenix_FC"
],
[
"Jeremy_Brockie",
"playsFor",
"New_Zealand_national_football_team"
],
[
"Jeremy_Brockie",
"playsFor",
"New_Zealand_national_under-20_football_team"
],
[
"Jeremy_Brockie",
"playsFor",
"New_Zealand_national_under-23_football_team"
],
[
"Jeremy_Christie",
"isAffiliatedTo",
"New_Zealand_national_football_team"
],
[
"Jeremy_Christie",
"isAffiliatedTo",
"New_Zealand_national_under-20_football_team"
],
[
"Jeremy_Christie",
"isAffiliatedTo",
"New_Zealand_national_under-23_football_team"
],
[
"Jeremy_Christie",
"isAffiliatedTo",
"Wellington_Phoenix_FC"
],
[
"Jeremy_Christie",
"playsFor",
"Wellington_Phoenix_FC"
],
[
"Kosta_Barbarouses",
"isAffiliatedTo",
"New_Zealand_national_football_team"
],
[
"Kosta_Barbarouses",
"isAffiliatedTo",
"New_Zealand_national_under-20_football_team"
],
[
"Kosta_Barbarouses",
"isAffiliatedTo",
"New_Zealand_national_under-23_football_team"
],
[
"Kosta_Barbarouses",
"isAffiliatedTo",
"Wellington_Phoenix_FC"
],
[
"Kosta_Barbarouses",
"playsFor",
"New_Zealand_national_under-20_football_team"
],
[
"Kosta_Barbarouses",
"playsFor",
"New_Zealand_national_under-23_football_team"
],
[
"Kris_Bright",
"isAffiliatedTo",
"New_Zealand_national_football_team"
],
[
"Kris_Bright",
"isAffiliatedTo",
"New_Zealand_national_under-20_football_team"
],
[
"Kris_Bright",
"playsFor",
"New_Zealand_national_football_team"
],
[
"Leo_Bertos",
"isAffiliatedTo",
"New_Zealand_national_football_team"
],
[
"Leo_Bertos",
"isAffiliatedTo",
"New_Zealand_national_under-23_football_team"
],
[
"Leo_Bertos",
"isAffiliatedTo",
"Wellington_Phoenix_FC"
],
[
"Leo_Bertos",
"playsFor",
"New_Zealand_national_football_team"
],
[
"Leo_Bertos",
"playsFor",
"New_Zealand_national_under-23_football_team"
],
[
"Leo_Bertos",
"playsFor",
"Wellington_Phoenix_FC"
],
[
"Leo_Shin",
"isAffiliatedTo",
"New_Zealand_national_under-20_football_team"
],
[
"Leo_Shin",
"isAffiliatedTo",
"New_Zealand_national_under-23_football_team"
],
[
"Leo_Shin",
"playsFor",
"New_Zealand_national_under-20_football_team"
],
[
"Leo_Shin",
"playsFor",
"New_Zealand_national_under-23_football_team"
],
[
"Marco_Rojas",
"isAffiliatedTo",
"New_Zealand_national_football_team"
],
[
"Marco_Rojas",
"isAffiliatedTo",
"Wellington_Phoenix_FC"
],
[
"Marco_Rojas",
"playsFor",
"New_Zealand_national_football_team"
],
[
"Marco_Rojas",
"playsFor",
"New_Zealand_national_under-20_football_team"
],
[
"Marco_Rojas",
"playsFor",
"New_Zealand_national_under-23_football_team"
],
[
"Marco_Rojas",
"playsFor",
"Wellington_Phoenix_FC"
],
[
"Mark_Paston",
"isAffiliatedTo",
"New_Zealand_national_football_team"
],
[
"Mark_Paston",
"isAffiliatedTo",
"Wellington_Phoenix_FC"
],
[
"Mark_Paston",
"playsFor",
"Wellington_Phoenix_FC"
],
[
"Michael_Boxall",
"isAffiliatedTo",
"New_Zealand_national_football_team"
],
[
"Michael_Boxall",
"isAffiliatedTo",
"New_Zealand_national_under-20_football_team"
],
[
"Michael_Boxall",
"isAffiliatedTo",
"New_Zealand_national_under-23_football_team"
],
[
"Michael_Boxall",
"isAffiliatedTo",
"Wellington_Phoenix_FC"
],
[
"Michael_Boxall",
"playsFor",
"New_Zealand_national_football_team"
],
[
"Michael_Boxall",
"playsFor",
"New_Zealand_national_under-20_football_team"
],
[
"Michael_Boxall",
"playsFor",
"New_Zealand_national_under-23_football_team"
],
[
"Michael_Boxall",
"playsFor",
"Wellington_Phoenix_FC"
],
[
"Mohammad_Ghous",
"playsFor",
"New_Zealand_national_football_team"
],
[
"Mohammad_Ghous",
"playsFor",
"New_Zealand_national_under-23_football_team"
],
[
"Mohammad_Ghous",
"playsFor",
"Wellington_Phoenix_FC"
],
[
"Neil_Jones_(footballer)",
"isAffiliatedTo",
"New_Zealand_national_football_team"
],
[
"Neil_Jones_(footballer)",
"isAffiliatedTo",
"New_Zealand_national_under-20_football_team"
],
[
"Neil_Jones_(footballer)",
"isAffiliatedTo",
"New_Zealand_national_under-23_football_team"
],
[
"Paul_Urlovic",
"isAffiliatedTo",
"New_Zealand_national_football_team"
],
[
"Paul_Urlovic",
"isAffiliatedTo",
"New_Zealand_national_under-20_football_team"
],
[
"Paul_Urlovic",
"isAffiliatedTo",
"New_Zealand_national_under-23_football_team"
],
[
"Ricki_Herbert",
"isAffiliatedTo",
"New_Zealand_national_football_team"
],
[
"Ricki_Herbert",
"isAffiliatedTo",
"New_Zealand_national_under-20_football_team"
],
[
"Ricki_Herbert",
"isAffiliatedTo",
"Wellington_Phoenix_FC"
],
[
"Ryan_Nelsen",
"isAffiliatedTo",
"New_Zealand_national_football_team"
],
[
"Ryan_Nelsen",
"isAffiliatedTo",
"New_Zealand_national_under-23_football_team"
],
[
"Ryan_Nelsen",
"playsFor",
"New_Zealand_national_football_team"
],
[
"Ryan_Nelsen",
"playsFor",
"New_Zealand_national_under-23_football_team"
],
[
"Sam_Jenkins_(footballer)",
"isAffiliatedTo",
"New_Zealand_national_under-20_football_team"
],
[
"Sam_Jenkins_(footballer)",
"isAffiliatedTo",
"New_Zealand_national_under-23_football_team"
],
[
"Sam_Jenkins_(footballer)",
"playsFor",
"New_Zealand_national_under-20_football_team"
],
[
"Sam_Jenkins_(footballer)",
"playsFor",
"New_Zealand_national_under-23_football_team"
],
[
"Shane_Smeltz",
"isAffiliatedTo",
"New_Zealand_national_football_team"
],
[
"Shane_Smeltz",
"isAffiliatedTo",
"New_Zealand_national_under-20_football_team"
],
[
"Shane_Smeltz",
"isAffiliatedTo",
"New_Zealand_national_under-23_football_team"
],
[
"Shane_Smeltz",
"isAffiliatedTo",
"Wellington_Phoenix_FC"
],
[
"Shane_Smeltz",
"playsFor",
"New_Zealand_national_football_team"
],
[
"Shane_Smeltz",
"playsFor",
"New_Zealand_national_under-23_football_team"
],
[
"Shane_Smeltz",
"playsFor",
"Wellington_Phoenix_FC"
],
[
"Simon_Elliott",
"isAffiliatedTo",
"LA_Galaxy"
],
[
"Simon_Elliott",
"isAffiliatedTo",
"New_Zealand_national_football_team"
],
[
"Simon_Elliott",
"isAffiliatedTo",
"New_Zealand_national_under-20_football_team"
],
[
"Simon_Elliott",
"isAffiliatedTo",
"New_Zealand_national_under-23_football_team"
],
[
"Simon_Elliott",
"isAffiliatedTo",
"Wellington_Phoenix_FC"
],
[
"Simon_Elliott",
"playsFor",
"LA_Galaxy"
],
[
"Simon_Elliott",
"playsFor",
"New_Zealand_national_football_team"
],
[
"Simon_Elliott",
"playsFor",
"New_Zealand_national_under-23_football_team"
],
[
"Simon_Elliott",
"playsFor",
"Wellington_Phoenix_FC"
],
[
"Steven_Old",
"isAffiliatedTo",
"New_Zealand_national_football_team"
],
[
"Steven_Old",
"isAffiliatedTo",
"New_Zealand_national_under-20_football_team"
],
[
"Steven_Old",
"isAffiliatedTo",
"New_Zealand_national_under-23_football_team"
],
[
"Steven_Old",
"isAffiliatedTo",
"Wellington_Phoenix_FC"
],
[
"Steven_Old",
"playsFor",
"New_Zealand_national_under-20_football_team"
],
[
"Steven_Old",
"playsFor",
"New_Zealand_national_under-23_football_team"
],
[
"Steven_Old",
"playsFor",
"Wellington_Phoenix_FC"
],
[
"Tim_Brown_(footballer)",
"isAffiliatedTo",
"New_Zealand_national_football_team"
],
[
"Tim_Brown_(footballer)",
"isAffiliatedTo",
"New_Zealand_national_under-20_football_team"
],
[
"Tim_Brown_(footballer)",
"isAffiliatedTo",
"New_Zealand_national_under-23_football_team"
],
[
"Tim_Brown_(footballer)",
"isAffiliatedTo",
"Wellington_Phoenix_FC"
],
[
"Tim_Brown_(footballer)",
"playsFor",
"New_Zealand_national_football_team"
],
[
"Tim_Brown_(footballer)",
"playsFor",
"Wellington_Phoenix_FC"
],
[
"Tim_Payne_(footballer)",
"playsFor",
"New_Zealand_national_under-20_football_team"
],
[
"Tim_Payne_(footballer)",
"playsFor",
"New_Zealand_national_under-23_football_team"
],
[
"Tony_Lochhead",
"isAffiliatedTo",
"New_Zealand_national_football_team"
],
[
"Tony_Lochhead",
"isAffiliatedTo",
"New_Zealand_national_under-23_football_team"
],
[
"Tony_Lochhead",
"isAffiliatedTo",
"Wellington_Phoenix_FC"
],
[
"Tony_Lochhead",
"playsFor",
"Wellington_Phoenix_FC"
],
[
"Vaughan_Coveny",
"isAffiliatedTo",
"New_Zealand_national_football_team"
],
[
"Vaughan_Coveny",
"isAffiliatedTo",
"New_Zealand_national_under-23_football_team"
],
[
"Vaughan_Coveny",
"isAffiliatedTo",
"Wellington_Phoenix_FC"
],
[
"Vaughan_Coveny",
"playsFor",
"New_Zealand_national_football_team"
],
[
"Vaughan_Coveny",
"playsFor",
"Wellington_Phoenix_FC"
]
],
"ground_truth": [],
"gt_cost": null
} |
YAGO |
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
85950, Danny_Racchi
18823, Independent_(politician)
118896, Jesse_Ventura
44469, Philippe_Pétain
86927, Wrexham_F.C.
src, edge_attr, dst
85950, isAffiliatedTo, 86927
85950, playsFor, 86927
118896, isAffiliatedTo, 18823
118896, playsFor, 86927
44469, isAffiliatedTo, 18823
Question: How are Danny_Racchi and Philippe_Pétain related?
Your output must be ONLY the PATH block.
| graph_path | {
"style": "rule"
} | {
"entities": [
"Danny_Racchi",
"Philippe_Pétain"
],
"valid_edges": [
[
"Danny_Racchi",
"isAffiliatedTo",
"Wrexham_F.C."
],
[
"Danny_Racchi",
"playsFor",
"Wrexham_F.C."
],
[
"Jesse_Ventura",
"isAffiliatedTo",
"Independent_(politician)"
],
[
"Jesse_Ventura",
"playsFor",
"Wrexham_F.C."
],
[
"Philippe_Pétain",
"isAffiliatedTo",
"Independent_(politician)"
]
],
"ground_truth": [],
"gt_cost": null
} |
YAGO |
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
108513, Barthold_Fles
39470, Edward_Lodge
37975, FC_Spartak_Moscow
16264, Mildred_Dresselhaus
35396, Puttin'_On_the_Ritz_(film)
87668, Roda_JC_Kerkrade
47352, Serhiy_Pohodin
29157, United_States
src, edge_attr, dst
108513, isCitizenOf, 29157
108513, playsFor, 37975
39470, isCitizenOf, 29157
39470, playsFor, 87668
16264, livesIn, 29157
16264, playsFor, 37975
35396, isLocatedIn, 29157
47352, isAffiliatedTo, 87668
47352, playsFor, 37975
47352, playsFor, 87668
Question: In what context are Puttin'_On_the_Ritz_(film) and Serhiy_Pohodin connected?
Your output must be ONLY the PATH block.
| graph_path | {
"style": "rule"
} | {
"entities": [
"Puttin'_On_the_Ritz_(film)",
"Serhiy_Pohodin"
],
"valid_edges": [
[
"Barthold_Fles",
"isCitizenOf",
"United_States"
],
[
"Barthold_Fles",
"playsFor",
"FC_Spartak_Moscow"
],
[
"Edward_Lodge",
"isCitizenOf",
"United_States"
],
[
"Edward_Lodge",
"playsFor",
"Roda_JC_Kerkrade"
],
[
"Mildred_Dresselhaus",
"livesIn",
"United_States"
],
[
"Mildred_Dresselhaus",
"playsFor",
"FC_Spartak_Moscow"
],
[
"Puttin'_On_the_Ritz_(film)",
"isLocatedIn",
"United_States"
],
[
"Serhiy_Pohodin",
"isAffiliatedTo",
"Roda_JC_Kerkrade"
],
[
"Serhiy_Pohodin",
"playsFor",
"FC_Spartak_Moscow"
],
[
"Serhiy_Pohodin",
"playsFor",
"Roda_JC_Kerkrade"
]
],
"ground_truth": [],
"gt_cost": null
} |
YAGO |
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
111744, Europe
87054, Metropolitan_Borough_of_Bury
11573, Nataša_Osmokrović
100654, United_Kingdom
93640, Zagreb
src, edge_attr, dst
87054, isLocatedIn, 100654
11573, wasBornIn, 93640
100654, isLocatedIn, 111744
93640, isLocatedIn, 111744
Question: For what reason are Metropolitan_Borough_of_Bury and Nataša_Osmokrović associated?
Your output must be ONLY the PATH block.
| graph_path | {
"style": "rule"
} | {
"entities": [
"Metropolitan_Borough_of_Bury",
"Nataša_Osmokrović"
],
"valid_edges": [
[
"Metropolitan_Borough_of_Bury",
"isLocatedIn",
"United_Kingdom"
],
[
"Nataša_Osmokrović",
"wasBornIn",
"Zagreb"
],
[
"United_Kingdom",
"isLocatedIn",
"Europe"
],
[
"Zagreb",
"isLocatedIn",
"Europe"
]
],
"ground_truth": [],
"gt_cost": null
} |
YAGO |
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
110880, Copenhagen
94517, Duke_Jordan
38249, Peter_Wolf
26251, Socialist_People's_Party_(Denmark)
99213, wordnet_piano_103928116
src, edge_attr, dst
94517, diedIn, 110880
94517, hasMusicalRole, 99213
38249, hasMusicalRole, 99213
26251, isLocatedIn, 110880
Question: How are Peter_Wolf and Socialist_People's_Party_(Denmark) related?
Your output must be ONLY the PATH block.
| graph_path | {
"style": "rule"
} | {
"entities": [
"Peter_Wolf",
"Socialist_People's_Party_(Denmark)"
],
"valid_edges": [
[
"Duke_Jordan",
"diedIn",
"Copenhagen"
],
[
"Duke_Jordan",
"hasMusicalRole",
"wordnet_piano_103928116"
],
[
"Peter_Wolf",
"hasMusicalRole",
"wordnet_piano_103928116"
],
[
"Socialist_People's_Party_(Denmark)",
"isLocatedIn",
"Copenhagen"
]
],
"ground_truth": [],
"gt_cost": null
} |
YAGO |
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
9809, Brett_Guthrie
52939, Dimitrios_Tsaldaris
108485, John_J._Crittenden
96914, John_Y._Brown,_Jr.
122567, Kentucky
117806, McCracken_County,_Kentucky
48534, Paducah,_Kentucky
11983, Steven_Curtis_Chapman
29157, United_States
2922, Wendell_H._Ford
118104, male
src, edge_attr, dst
9809, hasGender, 118104
9809, livesIn, 122567
52939, hasGender, 118104
108485, hasGender, 118104
108485, isPoliticianOf, 122567
96914, hasGender, 118104
96914, isPoliticianOf, 122567
122567, isLocatedIn, 29157
117806, isLocatedIn, 122567
48534, isLocatedIn, 122567
48534, isLocatedIn, 117806
48534, isLocatedIn, 29157
11983, hasGender, 118104
11983, wasBornIn, 48534
2922, hasGender, 118104
2922, isPoliticianOf, 122567
2922, livesIn, 122567
Question: In what context are Dimitrios_Tsaldaris and McCracken_County,_Kentucky connected?
Your output must be ONLY the PATH block.
| graph_path | {
"style": "rule"
} | {
"entities": [
"Dimitrios_Tsaldaris",
"McCracken_County,_Kentucky"
],
"valid_edges": [
[
"Brett_Guthrie",
"hasGender",
"male"
],
[
"Brett_Guthrie",
"livesIn",
"Kentucky"
],
[
"Dimitrios_Tsaldaris",
"hasGender",
"male"
],
[
"John_J._Crittenden",
"hasGender",
"male"
],
[
"John_J._Crittenden",
"isPoliticianOf",
"Kentucky"
],
[
"John_Y._Brown,_Jr.",
"hasGender",
"male"
],
[
"John_Y._Brown,_Jr.",
"isPoliticianOf",
"Kentucky"
],
[
"Kentucky",
"isLocatedIn",
"United_States"
],
[
"McCracken_County,_Kentucky",
"isLocatedIn",
"Kentucky"
],
[
"Paducah,_Kentucky",
"isLocatedIn",
"Kentucky"
],
[
"Paducah,_Kentucky",
"isLocatedIn",
"McCracken_County,_Kentucky"
],
[
"Paducah,_Kentucky",
"isLocatedIn",
"United_States"
],
[
"Steven_Curtis_Chapman",
"hasGender",
"male"
],
[
"Steven_Curtis_Chapman",
"wasBornIn",
"Paducah,_Kentucky"
],
[
"Wendell_H._Ford",
"hasGender",
"male"
],
[
"Wendell_H._Ford",
"isPoliticianOf",
"Kentucky"
],
[
"Wendell_H._Ford",
"livesIn",
"Kentucky"
]
],
"ground_truth": [],
"gt_cost": null
} |
YAGO |
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
44509, Cate_Blanchett
107308, Golden_Globe_Award
79785, Hastings,_Victoria
67824, Melbourne
69392, Rachel_Griffiths
22, Richard_Kiley
src, edge_attr, dst
44509, hasWonPrize, 107308
44509, wasBornIn, 67824
79785, isLocatedIn, 67824
69392, hasWonPrize, 107308
69392, wasBornIn, 67824
22, hasWonPrize, 107308
Question: For what reason are Hastings,_Victoria and Richard_Kiley associated?
Your output must be ONLY the PATH block.
| graph_path | {
"style": "rule"
} | {
"entities": [
"Hastings,_Victoria",
"Richard_Kiley"
],
"valid_edges": [
[
"Cate_Blanchett",
"hasWonPrize",
"Golden_Globe_Award"
],
[
"Cate_Blanchett",
"wasBornIn",
"Melbourne"
],
[
"Hastings,_Victoria",
"isLocatedIn",
"Melbourne"
],
[
"Rachel_Griffiths",
"hasWonPrize",
"Golden_Globe_Award"
],
[
"Rachel_Griffiths",
"wasBornIn",
"Melbourne"
],
[
"Richard_Kiley",
"hasWonPrize",
"Golden_Globe_Award"
]
],
"ground_truth": [],
"gt_cost": null
} |
YAGO |
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
53471, Al_Pacino
18263, Alan_Arkin
17455, Alan_Bates
99306, Alan_Cumming
13246, Amanda_Plummer
73271, Andre_Gregory
84424, Andrew_Lloyd_Webber
40078, Angela_Lansbury
73296, Ann_Reinking
37483, Anthony_LaPaglia
2157, Audra_McDonald
11045, BD_Wong
28364, Barbara_Harris_(actress)
92784, Barnard_Hughes
74465, Barry_Manilow
5271, Bernadette_Peters
61885, Bette_Midler
94844, Bob_Fosse
46514, Brian_Dennehy
48505, Bryan_Cranston
39496, Catherine_Zeta-Jones
61557, Charlie_Smalls
18629, Christine_Baranski
58736, Christine_Ebersole
47684, Christopher_Plummer
20304, Cleavon_Little
98206, Constance_Cummings
27028, Cyndi_Lauper
109661, Dan_Fogler
102090, Debra_Monk
48470, Dee_Dee_Bridgewater
77778, Drama_Desk_Award
39532, Elaine_Stritch
37091, Ellen_Burstyn
52132, Frances_McDormand
63313, Frances_Sternhagen
36989, Frank_Langella
99344, Geoffrey_Holder
81571, Geoffrey_Rush
104452, George_Abbott
29511, George_Hearn
115402, Harvey_Fierstein
118369, Ian_McKellen
44455, Irene_Worth
100923, James_Corden
3404, James_Earl_Jones
13961, Jane_Alexander
52651, Jane_Krakowski
53953, Janet_McTeer
20110, Jason_Alexander
67372, Jason_Robert_Brown
85439, Jeffrey_Wright_(actor)
108908, Jessica_Tandy
50570, Jim_Dale
91944, Joan_Allen
10504, Joanna_Gleason
58725, Joel_Grey
11924, John_Glover_(actor)
14546, John_Larroquette
55932, John_Lithgow
82582, John_Martyn
56478, John_Patrick_Shanley
6679, John_Rubinstein
86463, John_Wood_(English_actor)
33444, Jonathan_Pryce
25375, Judd_Hirsch
89775, Judith_Ivey
7003, Judith_Light
66886, Kevin_Kline
54297, Kristin_Chenoweth
110652, Larry_Gelbart
85164, Laurence_Fishburne
111459, Lea_Salonga
103633, Lena_Horne
91724, Liev_Schreiber
5729, Linda_Ronstadt
45524, Lindsay_Duncan
38047, Madeline_Kahn
13274, Mark_Rylance
83481, Marvin_Hamlisch
89983, Mary-Louise_Parker
59435, Mary_Alice
102302, Maureen_Stapleton
19135, Mercedes_Ruehl
56330, Michael_Blakemore
3051, Michael_Crawford
119718, Michael_Gough
75613, Michael_Jeter
11007, Mike_Nichols
41990, Natasha_Richardson
76108, Nathan_Lane
47821, Neil_Patrick_Harris
20954, Neil_Simon
116276, Nell_Carter
25459, Nicholas_Dante
46475, Pauline_Collins
94185, Pete_Townshend
33347, Peter_Hall_(director)
61306, Philip_Bosco
78660, Ralph_Fiennes
114096, René_Auberjonois
32928, Rex_Harrison
61848, Richard_Griffiths
93220, Richard_Nelson_(playwright)
44642, Robert_Lindsay_(actor)
14188, Robert_Morse
88050, Ron_Leibman
93570, Ron_Rifkin
66817, Ron_Silver
112559, Rosemary_Harris
15356, Roy_Dotrice
102612, Sam_Mendes
82284, Stephen_Dillane
97721, Stephen_Sondheim
80822, Stockard_Channing
60794, Swoosie_Kurtz
109123, The_Pirates_of_Penzance_(1983_film)
85054, Thomas_Meehan_(writer)
115745, Tim_Rice
68104, Tom_Stoppard
15332, Tony_Award
94042, Vanessa_Redgrave
90029, Viola_Davis
30087, Wilford_Leach
49128, wordnet_vocal_music_107282006
src, edge_attr, dst
53471, hasWonPrize, 77778
53471, hasWonPrize, 15332
18263, hasWonPrize, 77778
18263, hasWonPrize, 15332
17455, hasWonPrize, 77778
17455, hasWonPrize, 15332
99306, hasWonPrize, 77778
99306, hasWonPrize, 15332
13246, hasWonPrize, 77778
13246, hasWonPrize, 15332
73271, hasWonPrize, 77778
73271, hasWonPrize, 15332
84424, hasWonPrize, 77778
84424, hasWonPrize, 15332
40078, actedIn, 109123
40078, hasWonPrize, 77778
40078, hasWonPrize, 15332
73296, hasWonPrize, 77778
73296, hasWonPrize, 15332
37483, hasWonPrize, 77778
37483, hasWonPrize, 15332
2157, hasWonPrize, 77778
2157, hasWonPrize, 15332
11045, hasWonPrize, 77778
11045, hasWonPrize, 15332
28364, hasWonPrize, 77778
28364, hasWonPrize, 15332
92784, hasWonPrize, 77778
92784, hasWonPrize, 15332
74465, hasMusicalRole, 49128
74465, hasWonPrize, 15332
5271, hasWonPrize, 77778
5271, hasWonPrize, 15332
61885, hasMusicalRole, 49128
61885, hasWonPrize, 15332
94844, hasWonPrize, 77778
94844, hasWonPrize, 15332
46514, hasWonPrize, 77778
46514, hasWonPrize, 15332
48505, hasWonPrize, 77778
48505, hasWonPrize, 15332
39496, hasWonPrize, 77778
39496, hasWonPrize, 15332
61557, hasWonPrize, 77778
61557, hasWonPrize, 15332
18629, hasWonPrize, 77778
18629, hasWonPrize, 15332
58736, hasWonPrize, 77778
58736, hasWonPrize, 15332
47684, hasWonPrize, 77778
47684, hasWonPrize, 15332
20304, hasWonPrize, 77778
20304, hasWonPrize, 15332
98206, hasWonPrize, 77778
98206, hasWonPrize, 15332
27028, hasMusicalRole, 49128
27028, hasWonPrize, 15332
109661, hasWonPrize, 77778
109661, hasWonPrize, 15332
102090, hasWonPrize, 77778
102090, hasWonPrize, 15332
48470, hasMusicalRole, 49128
48470, hasWonPrize, 15332
39532, hasWonPrize, 77778
39532, hasWonPrize, 15332
37091, hasWonPrize, 77778
37091, hasWonPrize, 15332
52132, hasWonPrize, 77778
52132, hasWonPrize, 15332
63313, hasWonPrize, 77778
63313, hasWonPrize, 15332
36989, hasWonPrize, 77778
36989, hasWonPrize, 15332
99344, hasWonPrize, 77778
99344, hasWonPrize, 15332
81571, hasWonPrize, 77778
81571, hasWonPrize, 15332
104452, hasWonPrize, 77778
104452, hasWonPrize, 15332
29511, hasWonPrize, 77778
29511, hasWonPrize, 15332
115402, hasWonPrize, 77778
115402, hasWonPrize, 15332
118369, hasWonPrize, 77778
118369, hasWonPrize, 15332
44455, hasWonPrize, 77778
44455, hasWonPrize, 15332
100923, hasWonPrize, 77778
100923, hasWonPrize, 15332
3404, hasWonPrize, 77778
3404, hasWonPrize, 15332
13961, hasWonPrize, 77778
13961, hasWonPrize, 15332
52651, hasWonPrize, 77778
52651, hasWonPrize, 15332
53953, hasWonPrize, 77778
53953, hasWonPrize, 15332
20110, hasWonPrize, 77778
20110, hasWonPrize, 15332
67372, hasWonPrize, 77778
67372, hasWonPrize, 15332
85439, hasWonPrize, 77778
85439, hasWonPrize, 15332
108908, hasWonPrize, 77778
108908, hasWonPrize, 15332
50570, hasWonPrize, 77778
50570, hasWonPrize, 15332
91944, hasWonPrize, 77778
91944, hasWonPrize, 15332
10504, hasWonPrize, 77778
10504, hasWonPrize, 15332
58725, hasWonPrize, 77778
58725, hasWonPrize, 15332
11924, hasWonPrize, 77778
11924, hasWonPrize, 15332
14546, hasWonPrize, 77778
14546, hasWonPrize, 15332
55932, hasWonPrize, 77778
55932, hasWonPrize, 15332
82582, hasMusicalRole, 49128
56478, hasWonPrize, 77778
56478, hasWonPrize, 15332
6679, hasWonPrize, 77778
6679, hasWonPrize, 15332
86463, hasWonPrize, 77778
86463, hasWonPrize, 15332
33444, hasWonPrize, 77778
33444, hasWonPrize, 15332
25375, hasWonPrize, 77778
25375, hasWonPrize, 15332
89775, hasWonPrize, 77778
89775, hasWonPrize, 15332
7003, hasWonPrize, 77778
7003, hasWonPrize, 15332
66886, actedIn, 109123
66886, hasWonPrize, 77778
66886, hasWonPrize, 15332
54297, hasWonPrize, 77778
54297, hasWonPrize, 15332
110652, hasWonPrize, 77778
110652, hasWonPrize, 15332
85164, hasWonPrize, 77778
85164, hasWonPrize, 15332
111459, hasMusicalRole, 49128
111459, hasWonPrize, 77778
111459, hasWonPrize, 15332
103633, hasWonPrize, 77778
103633, hasWonPrize, 15332
91724, hasWonPrize, 77778
91724, hasWonPrize, 15332
5729, actedIn, 109123
5729, hasMusicalRole, 49128
45524, hasWonPrize, 77778
45524, hasWonPrize, 15332
38047, hasWonPrize, 77778
38047, hasWonPrize, 15332
13274, hasWonPrize, 77778
13274, hasWonPrize, 15332
83481, hasWonPrize, 77778
83481, hasWonPrize, 15332
89983, hasWonPrize, 77778
89983, hasWonPrize, 15332
59435, hasWonPrize, 77778
59435, hasWonPrize, 15332
102302, hasWonPrize, 77778
102302, hasWonPrize, 15332
19135, hasWonPrize, 77778
19135, hasWonPrize, 15332
56330, hasWonPrize, 77778
56330, hasWonPrize, 15332
3051, hasWonPrize, 77778
3051, hasWonPrize, 15332
119718, hasWonPrize, 77778
119718, hasWonPrize, 15332
75613, hasWonPrize, 77778
75613, hasWonPrize, 15332
11007, hasWonPrize, 77778
11007, hasWonPrize, 15332
41990, hasWonPrize, 77778
41990, hasWonPrize, 15332
76108, hasWonPrize, 77778
76108, hasWonPrize, 15332
47821, hasWonPrize, 77778
47821, hasWonPrize, 15332
20954, hasWonPrize, 77778
20954, hasWonPrize, 15332
116276, hasWonPrize, 77778
116276, hasWonPrize, 15332
25459, hasWonPrize, 77778
25459, hasWonPrize, 15332
46475, hasWonPrize, 77778
46475, hasWonPrize, 15332
94185, hasMusicalRole, 49128
94185, hasWonPrize, 15332
33347, hasWonPrize, 77778
33347, hasWonPrize, 15332
61306, hasWonPrize, 77778
61306, hasWonPrize, 15332
78660, hasWonPrize, 77778
78660, hasWonPrize, 15332
114096, hasWonPrize, 77778
114096, hasWonPrize, 15332
32928, hasWonPrize, 77778
32928, hasWonPrize, 15332
61848, hasWonPrize, 77778
61848, hasWonPrize, 15332
93220, hasWonPrize, 77778
93220, hasWonPrize, 15332
44642, hasWonPrize, 77778
44642, hasWonPrize, 15332
14188, hasWonPrize, 77778
14188, hasWonPrize, 15332
88050, hasWonPrize, 77778
88050, hasWonPrize, 15332
93570, hasWonPrize, 77778
93570, hasWonPrize, 15332
66817, hasWonPrize, 77778
66817, hasWonPrize, 15332
112559, hasWonPrize, 77778
112559, hasWonPrize, 15332
15356, hasWonPrize, 77778
15356, hasWonPrize, 15332
102612, hasWonPrize, 77778
102612, hasWonPrize, 15332
82284, hasWonPrize, 77778
82284, hasWonPrize, 15332
97721, hasWonPrize, 77778
97721, hasWonPrize, 15332
80822, hasWonPrize, 77778
80822, hasWonPrize, 15332
60794, hasWonPrize, 77778
60794, hasWonPrize, 15332
85054, hasWonPrize, 77778
85054, hasWonPrize, 15332
115745, hasWonPrize, 77778
115745, hasWonPrize, 15332
68104, hasWonPrize, 77778
68104, hasWonPrize, 15332
94042, hasWonPrize, 77778
94042, hasWonPrize, 15332
90029, hasWonPrize, 77778
90029, hasWonPrize, 15332
30087, created, 109123
30087, directed, 109123
30087, hasWonPrize, 77778
30087, hasWonPrize, 15332
Question: In what context are Angela_Lansbury and John_Martyn connected?
Your output must be ONLY the PATH block.
| graph_path | {
"style": "rule"
} | {
"entities": [
"Angela_Lansbury",
"John_Martyn"
],
"valid_edges": [
[
"Al_Pacino",
"hasWonPrize",
"Drama_Desk_Award"
],
[
"Al_Pacino",
"hasWonPrize",
"Tony_Award"
],
[
"Alan_Arkin",
"hasWonPrize",
"Drama_Desk_Award"
],
[
"Alan_Arkin",
"hasWonPrize",
"Tony_Award"
],
[
"Alan_Bates",
"hasWonPrize",
"Drama_Desk_Award"
],
[
"Alan_Bates",
"hasWonPrize",
"Tony_Award"
],
[
"Alan_Cumming",
"hasWonPrize",
"Drama_Desk_Award"
],
[
"Alan_Cumming",
"hasWonPrize",
"Tony_Award"
],
[
"Amanda_Plummer",
"hasWonPrize",
"Drama_Desk_Award"
],
[
"Amanda_Plummer",
"hasWonPrize",
"Tony_Award"
],
[
"Andre_Gregory",
"hasWonPrize",
"Drama_Desk_Award"
],
[
"Andre_Gregory",
"hasWonPrize",
"Tony_Award"
],
[
"Andrew_Lloyd_Webber",
"hasWonPrize",
"Drama_Desk_Award"
],
[
"Andrew_Lloyd_Webber",
"hasWonPrize",
"Tony_Award"
],
[
"Angela_Lansbury",
"actedIn",
"The_Pirates_of_Penzance_(1983_film)"
],
[
"Angela_Lansbury",
"hasWonPrize",
"Drama_Desk_Award"
],
[
"Angela_Lansbury",
"hasWonPrize",
"Tony_Award"
],
[
"Ann_Reinking",
"hasWonPrize",
"Drama_Desk_Award"
],
[
"Ann_Reinking",
"hasWonPrize",
"Tony_Award"
],
[
"Anthony_LaPaglia",
"hasWonPrize",
"Drama_Desk_Award"
],
[
"Anthony_LaPaglia",
"hasWonPrize",
"Tony_Award"
],
[
"Audra_McDonald",
"hasWonPrize",
"Drama_Desk_Award"
],
[
"Audra_McDonald",
"hasWonPrize",
"Tony_Award"
],
[
"BD_Wong",
"hasWonPrize",
"Drama_Desk_Award"
],
[
"BD_Wong",
"hasWonPrize",
"Tony_Award"
],
[
"Barbara_Harris_(actress)",
"hasWonPrize",
"Drama_Desk_Award"
],
[
"Barbara_Harris_(actress)",
"hasWonPrize",
"Tony_Award"
],
[
"Barnard_Hughes",
"hasWonPrize",
"Drama_Desk_Award"
],
[
"Barnard_Hughes",
"hasWonPrize",
"Tony_Award"
],
[
"Barry_Manilow",
"hasMusicalRole",
"wordnet_vocal_music_107282006"
],
[
"Barry_Manilow",
"hasWonPrize",
"Tony_Award"
],
[
"Bernadette_Peters",
"hasWonPrize",
"Drama_Desk_Award"
],
[
"Bernadette_Peters",
"hasWonPrize",
"Tony_Award"
],
[
"Bette_Midler",
"hasMusicalRole",
"wordnet_vocal_music_107282006"
],
[
"Bette_Midler",
"hasWonPrize",
"Tony_Award"
],
[
"Bob_Fosse",
"hasWonPrize",
"Drama_Desk_Award"
],
[
"Bob_Fosse",
"hasWonPrize",
"Tony_Award"
],
[
"Brian_Dennehy",
"hasWonPrize",
"Drama_Desk_Award"
],
[
"Brian_Dennehy",
"hasWonPrize",
"Tony_Award"
],
[
"Bryan_Cranston",
"hasWonPrize",
"Drama_Desk_Award"
],
[
"Bryan_Cranston",
"hasWonPrize",
"Tony_Award"
],
[
"Catherine_Zeta-Jones",
"hasWonPrize",
"Drama_Desk_Award"
],
[
"Catherine_Zeta-Jones",
"hasWonPrize",
"Tony_Award"
],
[
"Charlie_Smalls",
"hasWonPrize",
"Drama_Desk_Award"
],
[
"Charlie_Smalls",
"hasWonPrize",
"Tony_Award"
],
[
"Christine_Baranski",
"hasWonPrize",
"Drama_Desk_Award"
],
[
"Christine_Baranski",
"hasWonPrize",
"Tony_Award"
],
[
"Christine_Ebersole",
"hasWonPrize",
"Drama_Desk_Award"
],
[
"Christine_Ebersole",
"hasWonPrize",
"Tony_Award"
],
[
"Christopher_Plummer",
"hasWonPrize",
"Drama_Desk_Award"
],
[
"Christopher_Plummer",
"hasWonPrize",
"Tony_Award"
],
[
"Cleavon_Little",
"hasWonPrize",
"Drama_Desk_Award"
],
[
"Cleavon_Little",
"hasWonPrize",
"Tony_Award"
],
[
"Constance_Cummings",
"hasWonPrize",
"Drama_Desk_Award"
],
[
"Constance_Cummings",
"hasWonPrize",
"Tony_Award"
],
[
"Cyndi_Lauper",
"hasMusicalRole",
"wordnet_vocal_music_107282006"
],
[
"Cyndi_Lauper",
"hasWonPrize",
"Tony_Award"
],
[
"Dan_Fogler",
"hasWonPrize",
"Drama_Desk_Award"
],
[
"Dan_Fogler",
"hasWonPrize",
"Tony_Award"
],
[
"Debra_Monk",
"hasWonPrize",
"Drama_Desk_Award"
],
[
"Debra_Monk",
"hasWonPrize",
"Tony_Award"
],
[
"Dee_Dee_Bridgewater",
"hasMusicalRole",
"wordnet_vocal_music_107282006"
],
[
"Dee_Dee_Bridgewater",
"hasWonPrize",
"Tony_Award"
],
[
"Elaine_Stritch",
"hasWonPrize",
"Drama_Desk_Award"
],
[
"Elaine_Stritch",
"hasWonPrize",
"Tony_Award"
],
[
"Ellen_Burstyn",
"hasWonPrize",
"Drama_Desk_Award"
],
[
"Ellen_Burstyn",
"hasWonPrize",
"Tony_Award"
],
[
"Frances_McDormand",
"hasWonPrize",
"Drama_Desk_Award"
],
[
"Frances_McDormand",
"hasWonPrize",
"Tony_Award"
],
[
"Frances_Sternhagen",
"hasWonPrize",
"Drama_Desk_Award"
],
[
"Frances_Sternhagen",
"hasWonPrize",
"Tony_Award"
],
[
"Frank_Langella",
"hasWonPrize",
"Drama_Desk_Award"
],
[
"Frank_Langella",
"hasWonPrize",
"Tony_Award"
],
[
"Geoffrey_Holder",
"hasWonPrize",
"Drama_Desk_Award"
],
[
"Geoffrey_Holder",
"hasWonPrize",
"Tony_Award"
],
[
"Geoffrey_Rush",
"hasWonPrize",
"Drama_Desk_Award"
],
[
"Geoffrey_Rush",
"hasWonPrize",
"Tony_Award"
],
[
"George_Abbott",
"hasWonPrize",
"Drama_Desk_Award"
],
[
"George_Abbott",
"hasWonPrize",
"Tony_Award"
],
[
"George_Hearn",
"hasWonPrize",
"Drama_Desk_Award"
],
[
"George_Hearn",
"hasWonPrize",
"Tony_Award"
],
[
"Harvey_Fierstein",
"hasWonPrize",
"Drama_Desk_Award"
],
[
"Harvey_Fierstein",
"hasWonPrize",
"Tony_Award"
],
[
"Ian_McKellen",
"hasWonPrize",
"Drama_Desk_Award"
],
[
"Ian_McKellen",
"hasWonPrize",
"Tony_Award"
],
[
"Irene_Worth",
"hasWonPrize",
"Drama_Desk_Award"
],
[
"Irene_Worth",
"hasWonPrize",
"Tony_Award"
],
[
"James_Corden",
"hasWonPrize",
"Drama_Desk_Award"
],
[
"James_Corden",
"hasWonPrize",
"Tony_Award"
],
[
"James_Earl_Jones",
"hasWonPrize",
"Drama_Desk_Award"
],
[
"James_Earl_Jones",
"hasWonPrize",
"Tony_Award"
],
[
"Jane_Alexander",
"hasWonPrize",
"Drama_Desk_Award"
],
[
"Jane_Alexander",
"hasWonPrize",
"Tony_Award"
],
[
"Jane_Krakowski",
"hasWonPrize",
"Drama_Desk_Award"
],
[
"Jane_Krakowski",
"hasWonPrize",
"Tony_Award"
],
[
"Janet_McTeer",
"hasWonPrize",
"Drama_Desk_Award"
],
[
"Janet_McTeer",
"hasWonPrize",
"Tony_Award"
],
[
"Jason_Alexander",
"hasWonPrize",
"Drama_Desk_Award"
],
[
"Jason_Alexander",
"hasWonPrize",
"Tony_Award"
],
[
"Jason_Robert_Brown",
"hasWonPrize",
"Drama_Desk_Award"
],
[
"Jason_Robert_Brown",
"hasWonPrize",
"Tony_Award"
],
[
"Jeffrey_Wright_(actor)",
"hasWonPrize",
"Drama_Desk_Award"
],
[
"Jeffrey_Wright_(actor)",
"hasWonPrize",
"Tony_Award"
],
[
"Jessica_Tandy",
"hasWonPrize",
"Drama_Desk_Award"
],
[
"Jessica_Tandy",
"hasWonPrize",
"Tony_Award"
],
[
"Jim_Dale",
"hasWonPrize",
"Drama_Desk_Award"
],
[
"Jim_Dale",
"hasWonPrize",
"Tony_Award"
],
[
"Joan_Allen",
"hasWonPrize",
"Drama_Desk_Award"
],
[
"Joan_Allen",
"hasWonPrize",
"Tony_Award"
],
[
"Joanna_Gleason",
"hasWonPrize",
"Drama_Desk_Award"
],
[
"Joanna_Gleason",
"hasWonPrize",
"Tony_Award"
],
[
"Joel_Grey",
"hasWonPrize",
"Drama_Desk_Award"
],
[
"Joel_Grey",
"hasWonPrize",
"Tony_Award"
],
[
"John_Glover_(actor)",
"hasWonPrize",
"Drama_Desk_Award"
],
[
"John_Glover_(actor)",
"hasWonPrize",
"Tony_Award"
],
[
"John_Larroquette",
"hasWonPrize",
"Drama_Desk_Award"
],
[
"John_Larroquette",
"hasWonPrize",
"Tony_Award"
],
[
"John_Lithgow",
"hasWonPrize",
"Drama_Desk_Award"
],
[
"John_Lithgow",
"hasWonPrize",
"Tony_Award"
],
[
"John_Martyn",
"hasMusicalRole",
"wordnet_vocal_music_107282006"
],
[
"John_Patrick_Shanley",
"hasWonPrize",
"Drama_Desk_Award"
],
[
"John_Patrick_Shanley",
"hasWonPrize",
"Tony_Award"
],
[
"John_Rubinstein",
"hasWonPrize",
"Drama_Desk_Award"
],
[
"John_Rubinstein",
"hasWonPrize",
"Tony_Award"
],
[
"John_Wood_(English_actor)",
"hasWonPrize",
"Drama_Desk_Award"
],
[
"John_Wood_(English_actor)",
"hasWonPrize",
"Tony_Award"
],
[
"Jonathan_Pryce",
"hasWonPrize",
"Drama_Desk_Award"
],
[
"Jonathan_Pryce",
"hasWonPrize",
"Tony_Award"
],
[
"Judd_Hirsch",
"hasWonPrize",
"Drama_Desk_Award"
],
[
"Judd_Hirsch",
"hasWonPrize",
"Tony_Award"
],
[
"Judith_Ivey",
"hasWonPrize",
"Drama_Desk_Award"
],
[
"Judith_Ivey",
"hasWonPrize",
"Tony_Award"
],
[
"Judith_Light",
"hasWonPrize",
"Drama_Desk_Award"
],
[
"Judith_Light",
"hasWonPrize",
"Tony_Award"
],
[
"Kevin_Kline",
"actedIn",
"The_Pirates_of_Penzance_(1983_film)"
],
[
"Kevin_Kline",
"hasWonPrize",
"Drama_Desk_Award"
],
[
"Kevin_Kline",
"hasWonPrize",
"Tony_Award"
],
[
"Kristin_Chenoweth",
"hasWonPrize",
"Drama_Desk_Award"
],
[
"Kristin_Chenoweth",
"hasWonPrize",
"Tony_Award"
],
[
"Larry_Gelbart",
"hasWonPrize",
"Drama_Desk_Award"
],
[
"Larry_Gelbart",
"hasWonPrize",
"Tony_Award"
],
[
"Laurence_Fishburne",
"hasWonPrize",
"Drama_Desk_Award"
],
[
"Laurence_Fishburne",
"hasWonPrize",
"Tony_Award"
],
[
"Lea_Salonga",
"hasMusicalRole",
"wordnet_vocal_music_107282006"
],
[
"Lea_Salonga",
"hasWonPrize",
"Drama_Desk_Award"
],
[
"Lea_Salonga",
"hasWonPrize",
"Tony_Award"
],
[
"Lena_Horne",
"hasWonPrize",
"Drama_Desk_Award"
],
[
"Lena_Horne",
"hasWonPrize",
"Tony_Award"
],
[
"Liev_Schreiber",
"hasWonPrize",
"Drama_Desk_Award"
],
[
"Liev_Schreiber",
"hasWonPrize",
"Tony_Award"
],
[
"Linda_Ronstadt",
"actedIn",
"The_Pirates_of_Penzance_(1983_film)"
],
[
"Linda_Ronstadt",
"hasMusicalRole",
"wordnet_vocal_music_107282006"
],
[
"Lindsay_Duncan",
"hasWonPrize",
"Drama_Desk_Award"
],
[
"Lindsay_Duncan",
"hasWonPrize",
"Tony_Award"
],
[
"Madeline_Kahn",
"hasWonPrize",
"Drama_Desk_Award"
],
[
"Madeline_Kahn",
"hasWonPrize",
"Tony_Award"
],
[
"Mark_Rylance",
"hasWonPrize",
"Drama_Desk_Award"
],
[
"Mark_Rylance",
"hasWonPrize",
"Tony_Award"
],
[
"Marvin_Hamlisch",
"hasWonPrize",
"Drama_Desk_Award"
],
[
"Marvin_Hamlisch",
"hasWonPrize",
"Tony_Award"
],
[
"Mary-Louise_Parker",
"hasWonPrize",
"Drama_Desk_Award"
],
[
"Mary-Louise_Parker",
"hasWonPrize",
"Tony_Award"
],
[
"Mary_Alice",
"hasWonPrize",
"Drama_Desk_Award"
],
[
"Mary_Alice",
"hasWonPrize",
"Tony_Award"
],
[
"Maureen_Stapleton",
"hasWonPrize",
"Drama_Desk_Award"
],
[
"Maureen_Stapleton",
"hasWonPrize",
"Tony_Award"
],
[
"Mercedes_Ruehl",
"hasWonPrize",
"Drama_Desk_Award"
],
[
"Mercedes_Ruehl",
"hasWonPrize",
"Tony_Award"
],
[
"Michael_Blakemore",
"hasWonPrize",
"Drama_Desk_Award"
],
[
"Michael_Blakemore",
"hasWonPrize",
"Tony_Award"
],
[
"Michael_Crawford",
"hasWonPrize",
"Drama_Desk_Award"
],
[
"Michael_Crawford",
"hasWonPrize",
"Tony_Award"
],
[
"Michael_Gough",
"hasWonPrize",
"Drama_Desk_Award"
],
[
"Michael_Gough",
"hasWonPrize",
"Tony_Award"
],
[
"Michael_Jeter",
"hasWonPrize",
"Drama_Desk_Award"
],
[
"Michael_Jeter",
"hasWonPrize",
"Tony_Award"
],
[
"Mike_Nichols",
"hasWonPrize",
"Drama_Desk_Award"
],
[
"Mike_Nichols",
"hasWonPrize",
"Tony_Award"
],
[
"Natasha_Richardson",
"hasWonPrize",
"Drama_Desk_Award"
],
[
"Natasha_Richardson",
"hasWonPrize",
"Tony_Award"
],
[
"Nathan_Lane",
"hasWonPrize",
"Drama_Desk_Award"
],
[
"Nathan_Lane",
"hasWonPrize",
"Tony_Award"
],
[
"Neil_Patrick_Harris",
"hasWonPrize",
"Drama_Desk_Award"
],
[
"Neil_Patrick_Harris",
"hasWonPrize",
"Tony_Award"
],
[
"Neil_Simon",
"hasWonPrize",
"Drama_Desk_Award"
],
[
"Neil_Simon",
"hasWonPrize",
"Tony_Award"
],
[
"Nell_Carter",
"hasWonPrize",
"Drama_Desk_Award"
],
[
"Nell_Carter",
"hasWonPrize",
"Tony_Award"
],
[
"Nicholas_Dante",
"hasWonPrize",
"Drama_Desk_Award"
],
[
"Nicholas_Dante",
"hasWonPrize",
"Tony_Award"
],
[
"Pauline_Collins",
"hasWonPrize",
"Drama_Desk_Award"
],
[
"Pauline_Collins",
"hasWonPrize",
"Tony_Award"
],
[
"Pete_Townshend",
"hasMusicalRole",
"wordnet_vocal_music_107282006"
],
[
"Pete_Townshend",
"hasWonPrize",
"Tony_Award"
],
[
"Peter_Hall_(director)",
"hasWonPrize",
"Drama_Desk_Award"
],
[
"Peter_Hall_(director)",
"hasWonPrize",
"Tony_Award"
],
[
"Philip_Bosco",
"hasWonPrize",
"Drama_Desk_Award"
],
[
"Philip_Bosco",
"hasWonPrize",
"Tony_Award"
],
[
"Ralph_Fiennes",
"hasWonPrize",
"Drama_Desk_Award"
],
[
"Ralph_Fiennes",
"hasWonPrize",
"Tony_Award"
],
[
"René_Auberjonois",
"hasWonPrize",
"Drama_Desk_Award"
],
[
"René_Auberjonois",
"hasWonPrize",
"Tony_Award"
],
[
"Rex_Harrison",
"hasWonPrize",
"Drama_Desk_Award"
],
[
"Rex_Harrison",
"hasWonPrize",
"Tony_Award"
],
[
"Richard_Griffiths",
"hasWonPrize",
"Drama_Desk_Award"
],
[
"Richard_Griffiths",
"hasWonPrize",
"Tony_Award"
],
[
"Richard_Nelson_(playwright)",
"hasWonPrize",
"Drama_Desk_Award"
],
[
"Richard_Nelson_(playwright)",
"hasWonPrize",
"Tony_Award"
],
[
"Robert_Lindsay_(actor)",
"hasWonPrize",
"Drama_Desk_Award"
],
[
"Robert_Lindsay_(actor)",
"hasWonPrize",
"Tony_Award"
],
[
"Robert_Morse",
"hasWonPrize",
"Drama_Desk_Award"
],
[
"Robert_Morse",
"hasWonPrize",
"Tony_Award"
],
[
"Ron_Leibman",
"hasWonPrize",
"Drama_Desk_Award"
],
[
"Ron_Leibman",
"hasWonPrize",
"Tony_Award"
],
[
"Ron_Rifkin",
"hasWonPrize",
"Drama_Desk_Award"
],
[
"Ron_Rifkin",
"hasWonPrize",
"Tony_Award"
],
[
"Ron_Silver",
"hasWonPrize",
"Drama_Desk_Award"
],
[
"Ron_Silver",
"hasWonPrize",
"Tony_Award"
],
[
"Rosemary_Harris",
"hasWonPrize",
"Drama_Desk_Award"
],
[
"Rosemary_Harris",
"hasWonPrize",
"Tony_Award"
],
[
"Roy_Dotrice",
"hasWonPrize",
"Drama_Desk_Award"
],
[
"Roy_Dotrice",
"hasWonPrize",
"Tony_Award"
],
[
"Sam_Mendes",
"hasWonPrize",
"Drama_Desk_Award"
],
[
"Sam_Mendes",
"hasWonPrize",
"Tony_Award"
],
[
"Stephen_Dillane",
"hasWonPrize",
"Drama_Desk_Award"
],
[
"Stephen_Dillane",
"hasWonPrize",
"Tony_Award"
],
[
"Stephen_Sondheim",
"hasWonPrize",
"Drama_Desk_Award"
],
[
"Stephen_Sondheim",
"hasWonPrize",
"Tony_Award"
],
[
"Stockard_Channing",
"hasWonPrize",
"Drama_Desk_Award"
],
[
"Stockard_Channing",
"hasWonPrize",
"Tony_Award"
],
[
"Swoosie_Kurtz",
"hasWonPrize",
"Drama_Desk_Award"
],
[
"Swoosie_Kurtz",
"hasWonPrize",
"Tony_Award"
],
[
"Thomas_Meehan_(writer)",
"hasWonPrize",
"Drama_Desk_Award"
],
[
"Thomas_Meehan_(writer)",
"hasWonPrize",
"Tony_Award"
],
[
"Tim_Rice",
"hasWonPrize",
"Drama_Desk_Award"
],
[
"Tim_Rice",
"hasWonPrize",
"Tony_Award"
],
[
"Tom_Stoppard",
"hasWonPrize",
"Drama_Desk_Award"
],
[
"Tom_Stoppard",
"hasWonPrize",
"Tony_Award"
],
[
"Vanessa_Redgrave",
"hasWonPrize",
"Drama_Desk_Award"
],
[
"Vanessa_Redgrave",
"hasWonPrize",
"Tony_Award"
],
[
"Viola_Davis",
"hasWonPrize",
"Drama_Desk_Award"
],
[
"Viola_Davis",
"hasWonPrize",
"Tony_Award"
],
[
"Wilford_Leach",
"created",
"The_Pirates_of_Penzance_(1983_film)"
],
[
"Wilford_Leach",
"directed",
"The_Pirates_of_Penzance_(1983_film)"
],
[
"Wilford_Leach",
"hasWonPrize",
"Drama_Desk_Award"
],
[
"Wilford_Leach",
"hasWonPrize",
"Tony_Award"
]
],
"ground_truth": [],
"gt_cost": null
} |
YAGO |
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
98661, Alireza_Jahanbakhsh
81319, Antonio_Díaz_Jurado
29002, Central_District_(Qazvin_County)
22324, Hassan_Roudbarian
61516, Qazvin
118104, male
src, edge_attr, dst
98661, hasGender, 118104
98661, wasBornIn, 61516
81319, hasGender, 118104
22324, hasGender, 118104
22324, wasBornIn, 61516
61516, isLocatedIn, 29002
Question: For what reason are Antonio_Díaz_Jurado and Central_District_(Qazvin_County) associated?
Your output must be ONLY the PATH block.
| graph_path | {
"style": "rule"
} | {
"entities": [
"Antonio_Díaz_Jurado",
"Central_District_(Qazvin_County)"
],
"valid_edges": [
[
"Alireza_Jahanbakhsh",
"hasGender",
"male"
],
[
"Alireza_Jahanbakhsh",
"wasBornIn",
"Qazvin"
],
[
"Antonio_Díaz_Jurado",
"hasGender",
"male"
],
[
"Hassan_Roudbarian",
"hasGender",
"male"
],
[
"Hassan_Roudbarian",
"wasBornIn",
"Qazvin"
],
[
"Qazvin",
"isLocatedIn",
"Central_District_(Qazvin_County)"
]
],
"ground_truth": [],
"gt_cost": null
} |
YAGO |
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
3340, A_Chump_at_Oxford
104636, A_Quiet_Street
59456, A_Tough_Winter
15656, Adriano_Munoz
113186, Air_Raid_Wardens
13268, Along_Came_Auntie
34905, Angora_Love
61247, Arabian_Nights_(1942_film)
28927, Arbor_Day_(film)
25307, Atoll_K
6608, Baby_Brother
34549, Back_Stage_(1923_film)
119887, Bedtime_Worries
20122, Big_Business_(1929_film)
14029, Billy_Gilbert
119210, Birmingham
102521, Björn_Bergmann_Sigurðarson
43253, Block-Heads
25801, Bonnie_Scotland
100787, Bouncing_Babies
10523, Boxing_Gloves_(film)
55979, Came_the_Brawn
1279, Charley_Rogers
64904, Charlie_Hall_(actor)
60422, Chicago
66900, Dogs_of_War_(film)
11110, Fire_Fighters_(film)
95275, Flying_Elephants
45577, From_Soup_to_Nuts
68077, General_Spanky
77133, Giants_vs._Yanks
12483, God's_Gift_to_Women
5675, H._M._Walker
73046, Habeas_Corpus_(1928_film)
106575, Hollywood_Party_(1934_film)
115140, Jitterbugs
75845, July_Days_(film)
110284, Kelvin_Onosiughe
99351, Leroy_Shield
110262, Los_Angeles
76923, Louisville,_Kentucky
91869, Marvin_Hatley
29753, Men_O'_War
60655, Men_in_Black_(1934_film)
86469, Nothing_but_Trouble_(1944_film)
61287, Oliver_Hardy
85428, One_Terrible_Day
13930, Oulun_Palloseura_(football)
60856, Our_Gang_(film)
95405, Our_Gang_Follies_of_1936
85988, Our_Gang_Follies_of_1938
112930, Pack_Up_Your_Troubles
73003, Pardon_My_Scotch
26945, Perfect_Day_(1929_film)
96170, Raggedy_Rose
98001, Railroadin'
41283, Santa_Monica,_California
34466, Saps_at_Sea
64259, Saturday_Morning_(1922_film)
72715, School's_Out_(1930_film)
54279, Scram!
96604, Seeing_the_World
108847, Shrimps_for_a_Day
15273, Small_Talk_(film)
38863, Sons_of_the_Desert
49496, Stage_Fright_(1923_film)
110148, Stan_Laurel
77421, Swiss_Miss_(film)
122859, Teacher's_Pet_(1930_film)
106618, The_Big_Noise
106642, The_Big_Show_(1923_film)
105463, The_Bohemian_Girl_(film)
16144, The_Champeen
52851, The_Cobbler_(1923_film)
72612, The_Dancing_Masters
92320, The_Devil's_Brother
14181, The_Music_Box
16780, Their_Purple_Moment
105598, Them_Thar_Hills
74137, They_Go_Boom
12423, They_Just_Had_to_Get_Married
18953, Thundering_Fleas
72641, Two_Too_Young
67620, Unaccustomed_As_We_Are
29157, United_States
92235, Vero_Beach,_Florida
95165, Way_Out_West_(1937_film)
31626, Wild_Poses
59281, Young_Sherlocks
118104, male
src, edge_attr, dst
3340, isLocatedIn, 29157
104636, isLocatedIn, 29157
59456, isLocatedIn, 29157
15656, hasGender, 118104
15656, isAffiliatedTo, 13930
15656, playsFor, 13930
113186, isLocatedIn, 29157
13268, isLocatedIn, 29157
34905, isLocatedIn, 29157
61247, isLocatedIn, 29157
28927, isLocatedIn, 29157
6608, isLocatedIn, 29157
34549, isLocatedIn, 29157
119887, isLocatedIn, 29157
20122, isLocatedIn, 29157
14029, actedIn, 61247
14029, actedIn, 43253
14029, actedIn, 60655
14029, actedIn, 73003
14029, actedIn, 105598
14029, diedIn, 110262
14029, hasGender, 118104
14029, wasBornIn, 76923
102521, hasGender, 118104
102521, playsFor, 13930
43253, isLocatedIn, 29157
25801, isLocatedIn, 29157
100787, isLocatedIn, 29157
10523, isLocatedIn, 29157
55979, isLocatedIn, 29157
1279, actedIn, 73046
1279, actedIn, 112930
1279, actedIn, 92320
1279, created, 3340
1279, created, 113186
1279, created, 43253
1279, created, 25801
1279, created, 85988
1279, created, 34466
1279, created, 95165
1279, diedIn, 110262
1279, directed, 105463
1279, directed, 105598
1279, hasGender, 118104
1279, wasBornIn, 119210
64904, actedIn, 3340
64904, actedIn, 34905
64904, actedIn, 20122
64904, actedIn, 29753
64904, actedIn, 34466
64904, actedIn, 105598
64904, actedIn, 74137
64904, hasGender, 118104
64904, wasBornIn, 119210
60422, isLocatedIn, 29157
66900, isLocatedIn, 29157
11110, isLocatedIn, 29157
95275, isLocatedIn, 29157
45577, isLocatedIn, 29157
68077, isLocatedIn, 29157
77133, isLocatedIn, 29157
12483, isLocatedIn, 29157
5675, created, 104636
5675, created, 59456
5675, created, 13268
5675, created, 34905
5675, created, 6608
5675, created, 34549
5675, created, 20122
5675, created, 100787
5675, created, 10523
5675, created, 66900
5675, created, 11110
5675, created, 95275
5675, created, 45577
5675, created, 77133
5675, created, 73046
5675, created, 75845
5675, created, 29753
5675, created, 85428
5675, created, 60856
5675, created, 112930
5675, created, 26945
5675, created, 96170
5675, created, 98001
5675, created, 64259
5675, created, 72715
5675, created, 54279
5675, created, 96604
5675, created, 15273
5675, created, 49496
5675, created, 122859
5675, created, 106642
5675, created, 16144
5675, created, 52851
5675, created, 14181
5675, created, 16780
5675, created, 105598
5675, created, 74137
5675, created, 12423
5675, created, 18953
5675, created, 67620
5675, created, 31626
5675, created, 59281
5675, diedIn, 60422
5675, hasGender, 118104
73046, isLocatedIn, 29157
106575, isLocatedIn, 29157
75845, isLocatedIn, 29157
110284, hasGender, 118104
110284, playsFor, 13930
99351, diedIn, 92235
99351, hasGender, 118104
99351, wroteMusicFor, 119887
99351, wroteMusicFor, 25801
99351, wroteMusicFor, 55979
99351, wroteMusicFor, 12483
99351, wroteMusicFor, 95405
99351, wroteMusicFor, 26945
99351, wroteMusicFor, 34466
99351, wroteMusicFor, 72715
99351, wroteMusicFor, 108847
99351, wroteMusicFor, 38863
99351, wroteMusicFor, 122859
99351, wroteMusicFor, 14181
99351, wroteMusicFor, 105598
99351, wroteMusicFor, 72641
99351, wroteMusicFor, 31626
110262, isLocatedIn, 29157
76923, isLocatedIn, 29157
91869, hasGender, 118104
91869, wroteMusicFor, 3340
91869, wroteMusicFor, 59456
91869, wroteMusicFor, 28927
91869, wroteMusicFor, 119887
91869, wroteMusicFor, 43253
91869, wroteMusicFor, 25801
91869, wroteMusicFor, 68077
91869, wroteMusicFor, 95405
91869, wroteMusicFor, 85988
91869, wroteMusicFor, 112930
91869, wroteMusicFor, 34466
91869, wroteMusicFor, 72715
91869, wroteMusicFor, 38863
91869, wroteMusicFor, 122859
91869, wroteMusicFor, 14181
91869, wroteMusicFor, 105598
91869, wroteMusicFor, 31626
29753, isLocatedIn, 29157
60655, isLocatedIn, 29157
86469, isLocatedIn, 29157
61287, actedIn, 3340
61287, actedIn, 113186
61287, actedIn, 13268
61287, actedIn, 34905
61287, actedIn, 25307
61287, actedIn, 6608
61287, actedIn, 20122
61287, actedIn, 43253
61287, actedIn, 25801
61287, actedIn, 95275
61287, actedIn, 45577
61287, actedIn, 73046
61287, actedIn, 106575
61287, actedIn, 115140
61287, actedIn, 29753
61287, actedIn, 86469
61287, actedIn, 112930
61287, actedIn, 26945
61287, actedIn, 34466
61287, actedIn, 54279
61287, actedIn, 38863
61287, actedIn, 77421
61287, actedIn, 106618
61287, actedIn, 105463
61287, actedIn, 72612
61287, actedIn, 92320
61287, actedIn, 14181
61287, actedIn, 16780
61287, actedIn, 105598
61287, actedIn, 74137
61287, actedIn, 18953
61287, actedIn, 67620
61287, actedIn, 95165
61287, actedIn, 31626
61287, diedIn, 110262
61287, hasGender, 118104
85428, isLocatedIn, 29157
60856, isLocatedIn, 29157
95405, isLocatedIn, 29157
85988, isLocatedIn, 29157
112930, isLocatedIn, 29157
73003, isLocatedIn, 29157
26945, isLocatedIn, 29157
96170, isLocatedIn, 29157
98001, isLocatedIn, 29157
41283, isLocatedIn, 29157
34466, isLocatedIn, 29157
64259, isLocatedIn, 29157
72715, isLocatedIn, 29157
54279, isLocatedIn, 29157
96604, isLocatedIn, 29157
108847, isLocatedIn, 29157
15273, isLocatedIn, 29157
38863, isLocatedIn, 29157
49496, isLocatedIn, 29157
110148, actedIn, 3340
110148, actedIn, 113186
110148, actedIn, 34905
110148, actedIn, 25307
110148, actedIn, 20122
110148, actedIn, 43253
110148, actedIn, 95275
110148, actedIn, 45577
110148, actedIn, 73046
110148, actedIn, 106575
110148, actedIn, 115140
110148, actedIn, 29753
110148, actedIn, 86469
110148, actedIn, 112930
110148, actedIn, 26945
110148, actedIn, 34466
110148, actedIn, 54279
110148, actedIn, 38863
110148, actedIn, 77421
110148, actedIn, 106618
110148, actedIn, 105463
110148, actedIn, 72612
110148, actedIn, 92320
110148, actedIn, 14181
110148, actedIn, 16780
110148, actedIn, 105598
110148, actedIn, 74137
110148, actedIn, 67620
110148, actedIn, 95165
110148, actedIn, 31626
110148, created, 13268
110148, created, 96170
110148, diedIn, 41283
110148, hasGender, 118104
77421, isLocatedIn, 29157
122859, isLocatedIn, 29157
106618, isLocatedIn, 29157
106642, isLocatedIn, 29157
105463, isLocatedIn, 29157
16144, isLocatedIn, 29157
52851, isLocatedIn, 29157
72612, isLocatedIn, 29157
92320, isLocatedIn, 29157
14181, isLocatedIn, 29157
16780, isLocatedIn, 29157
105598, isLocatedIn, 29157
74137, isLocatedIn, 29157
12423, isLocatedIn, 29157
18953, isLocatedIn, 29157
72641, isLocatedIn, 29157
67620, isLocatedIn, 29157
92235, isLocatedIn, 29157
95165, isLocatedIn, 29157
31626, isLocatedIn, 29157
59281, isLocatedIn, 29157
Question: For what reason are Oulun_Palloseura_(football) and Them_Thar_Hills associated?
Your output must be ONLY the PATH block.
| graph_path | {
"style": "rule"
} | {
"entities": [
"Oulun_Palloseura_(football)",
"Them_Thar_Hills"
],
"valid_edges": [
[
"A_Chump_at_Oxford",
"isLocatedIn",
"United_States"
],
[
"A_Quiet_Street",
"isLocatedIn",
"United_States"
],
[
"A_Tough_Winter",
"isLocatedIn",
"United_States"
],
[
"Adriano_Munoz",
"hasGender",
"male"
],
[
"Adriano_Munoz",
"isAffiliatedTo",
"Oulun_Palloseura_(football)"
],
[
"Adriano_Munoz",
"playsFor",
"Oulun_Palloseura_(football)"
],
[
"Air_Raid_Wardens",
"isLocatedIn",
"United_States"
],
[
"Along_Came_Auntie",
"isLocatedIn",
"United_States"
],
[
"Angora_Love",
"isLocatedIn",
"United_States"
],
[
"Arabian_Nights_(1942_film)",
"isLocatedIn",
"United_States"
],
[
"Arbor_Day_(film)",
"isLocatedIn",
"United_States"
],
[
"Baby_Brother",
"isLocatedIn",
"United_States"
],
[
"Back_Stage_(1923_film)",
"isLocatedIn",
"United_States"
],
[
"Bedtime_Worries",
"isLocatedIn",
"United_States"
],
[
"Big_Business_(1929_film)",
"isLocatedIn",
"United_States"
],
[
"Billy_Gilbert",
"actedIn",
"Arabian_Nights_(1942_film)"
],
[
"Billy_Gilbert",
"actedIn",
"Block-Heads"
],
[
"Billy_Gilbert",
"actedIn",
"Men_in_Black_(1934_film)"
],
[
"Billy_Gilbert",
"actedIn",
"Pardon_My_Scotch"
],
[
"Billy_Gilbert",
"actedIn",
"Them_Thar_Hills"
],
[
"Billy_Gilbert",
"diedIn",
"Los_Angeles"
],
[
"Billy_Gilbert",
"hasGender",
"male"
],
[
"Billy_Gilbert",
"wasBornIn",
"Louisville,_Kentucky"
],
[
"Björn_Bergmann_Sigurðarson",
"hasGender",
"male"
],
[
"Björn_Bergmann_Sigurðarson",
"playsFor",
"Oulun_Palloseura_(football)"
],
[
"Block-Heads",
"isLocatedIn",
"United_States"
],
[
"Bonnie_Scotland",
"isLocatedIn",
"United_States"
],
[
"Bouncing_Babies",
"isLocatedIn",
"United_States"
],
[
"Boxing_Gloves_(film)",
"isLocatedIn",
"United_States"
],
[
"Came_the_Brawn",
"isLocatedIn",
"United_States"
],
[
"Charley_Rogers",
"actedIn",
"Habeas_Corpus_(1928_film)"
],
[
"Charley_Rogers",
"actedIn",
"Pack_Up_Your_Troubles"
],
[
"Charley_Rogers",
"actedIn",
"The_Devil's_Brother"
],
[
"Charley_Rogers",
"created",
"A_Chump_at_Oxford"
],
[
"Charley_Rogers",
"created",
"Air_Raid_Wardens"
],
[
"Charley_Rogers",
"created",
"Block-Heads"
],
[
"Charley_Rogers",
"created",
"Bonnie_Scotland"
],
[
"Charley_Rogers",
"created",
"Our_Gang_Follies_of_1938"
],
[
"Charley_Rogers",
"created",
"Saps_at_Sea"
],
[
"Charley_Rogers",
"created",
"Way_Out_West_(1937_film)"
],
[
"Charley_Rogers",
"diedIn",
"Los_Angeles"
],
[
"Charley_Rogers",
"directed",
"The_Bohemian_Girl_(film)"
],
[
"Charley_Rogers",
"directed",
"Them_Thar_Hills"
],
[
"Charley_Rogers",
"hasGender",
"male"
],
[
"Charley_Rogers",
"wasBornIn",
"Birmingham"
],
[
"Charlie_Hall_(actor)",
"actedIn",
"A_Chump_at_Oxford"
],
[
"Charlie_Hall_(actor)",
"actedIn",
"Angora_Love"
],
[
"Charlie_Hall_(actor)",
"actedIn",
"Big_Business_(1929_film)"
],
[
"Charlie_Hall_(actor)",
"actedIn",
"Men_O'_War"
],
[
"Charlie_Hall_(actor)",
"actedIn",
"Saps_at_Sea"
],
[
"Charlie_Hall_(actor)",
"actedIn",
"Them_Thar_Hills"
],
[
"Charlie_Hall_(actor)",
"actedIn",
"They_Go_Boom"
],
[
"Charlie_Hall_(actor)",
"hasGender",
"male"
],
[
"Charlie_Hall_(actor)",
"wasBornIn",
"Birmingham"
],
[
"Chicago",
"isLocatedIn",
"United_States"
],
[
"Dogs_of_War_(film)",
"isLocatedIn",
"United_States"
],
[
"Fire_Fighters_(film)",
"isLocatedIn",
"United_States"
],
[
"Flying_Elephants",
"isLocatedIn",
"United_States"
],
[
"From_Soup_to_Nuts",
"isLocatedIn",
"United_States"
],
[
"General_Spanky",
"isLocatedIn",
"United_States"
],
[
"Giants_vs._Yanks",
"isLocatedIn",
"United_States"
],
[
"God's_Gift_to_Women",
"isLocatedIn",
"United_States"
],
[
"H._M._Walker",
"created",
"A_Quiet_Street"
],
[
"H._M._Walker",
"created",
"A_Tough_Winter"
],
[
"H._M._Walker",
"created",
"Along_Came_Auntie"
],
[
"H._M._Walker",
"created",
"Angora_Love"
],
[
"H._M._Walker",
"created",
"Baby_Brother"
],
[
"H._M._Walker",
"created",
"Back_Stage_(1923_film)"
],
[
"H._M._Walker",
"created",
"Big_Business_(1929_film)"
],
[
"H._M._Walker",
"created",
"Bouncing_Babies"
],
[
"H._M._Walker",
"created",
"Boxing_Gloves_(film)"
],
[
"H._M._Walker",
"created",
"Dogs_of_War_(film)"
],
[
"H._M._Walker",
"created",
"Fire_Fighters_(film)"
],
[
"H._M._Walker",
"created",
"Flying_Elephants"
],
[
"H._M._Walker",
"created",
"From_Soup_to_Nuts"
],
[
"H._M._Walker",
"created",
"Giants_vs._Yanks"
],
[
"H._M._Walker",
"created",
"Habeas_Corpus_(1928_film)"
],
[
"H._M._Walker",
"created",
"July_Days_(film)"
],
[
"H._M._Walker",
"created",
"Men_O'_War"
],
[
"H._M._Walker",
"created",
"One_Terrible_Day"
],
[
"H._M._Walker",
"created",
"Our_Gang_(film)"
],
[
"H._M._Walker",
"created",
"Pack_Up_Your_Troubles"
],
[
"H._M._Walker",
"created",
"Perfect_Day_(1929_film)"
],
[
"H._M._Walker",
"created",
"Raggedy_Rose"
],
[
"H._M._Walker",
"created",
"Railroadin'"
],
[
"H._M._Walker",
"created",
"Saturday_Morning_(1922_film)"
],
[
"H._M._Walker",
"created",
"School's_Out_(1930_film)"
],
[
"H._M._Walker",
"created",
"Scram!"
],
[
"H._M._Walker",
"created",
"Seeing_the_World"
],
[
"H._M._Walker",
"created",
"Small_Talk_(film)"
],
[
"H._M._Walker",
"created",
"Stage_Fright_(1923_film)"
],
[
"H._M._Walker",
"created",
"Teacher's_Pet_(1930_film)"
],
[
"H._M._Walker",
"created",
"The_Big_Show_(1923_film)"
],
[
"H._M._Walker",
"created",
"The_Champeen"
],
[
"H._M._Walker",
"created",
"The_Cobbler_(1923_film)"
],
[
"H._M._Walker",
"created",
"The_Music_Box"
],
[
"H._M._Walker",
"created",
"Their_Purple_Moment"
],
[
"H._M._Walker",
"created",
"Them_Thar_Hills"
],
[
"H._M._Walker",
"created",
"They_Go_Boom"
],
[
"H._M._Walker",
"created",
"They_Just_Had_to_Get_Married"
],
[
"H._M._Walker",
"created",
"Thundering_Fleas"
],
[
"H._M._Walker",
"created",
"Unaccustomed_As_We_Are"
],
[
"H._M._Walker",
"created",
"Wild_Poses"
],
[
"H._M._Walker",
"created",
"Young_Sherlocks"
],
[
"H._M._Walker",
"diedIn",
"Chicago"
],
[
"H._M._Walker",
"hasGender",
"male"
],
[
"Habeas_Corpus_(1928_film)",
"isLocatedIn",
"United_States"
],
[
"Hollywood_Party_(1934_film)",
"isLocatedIn",
"United_States"
],
[
"July_Days_(film)",
"isLocatedIn",
"United_States"
],
[
"Kelvin_Onosiughe",
"hasGender",
"male"
],
[
"Kelvin_Onosiughe",
"playsFor",
"Oulun_Palloseura_(football)"
],
[
"Leroy_Shield",
"diedIn",
"Vero_Beach,_Florida"
],
[
"Leroy_Shield",
"hasGender",
"male"
],
[
"Leroy_Shield",
"wroteMusicFor",
"Bedtime_Worries"
],
[
"Leroy_Shield",
"wroteMusicFor",
"Bonnie_Scotland"
],
[
"Leroy_Shield",
"wroteMusicFor",
"Came_the_Brawn"
],
[
"Leroy_Shield",
"wroteMusicFor",
"God's_Gift_to_Women"
],
[
"Leroy_Shield",
"wroteMusicFor",
"Our_Gang_Follies_of_1936"
],
[
"Leroy_Shield",
"wroteMusicFor",
"Perfect_Day_(1929_film)"
],
[
"Leroy_Shield",
"wroteMusicFor",
"Saps_at_Sea"
],
[
"Leroy_Shield",
"wroteMusicFor",
"School's_Out_(1930_film)"
],
[
"Leroy_Shield",
"wroteMusicFor",
"Shrimps_for_a_Day"
],
[
"Leroy_Shield",
"wroteMusicFor",
"Sons_of_the_Desert"
],
[
"Leroy_Shield",
"wroteMusicFor",
"Teacher's_Pet_(1930_film)"
],
[
"Leroy_Shield",
"wroteMusicFor",
"The_Music_Box"
],
[
"Leroy_Shield",
"wroteMusicFor",
"Them_Thar_Hills"
],
[
"Leroy_Shield",
"wroteMusicFor",
"Two_Too_Young"
],
[
"Leroy_Shield",
"wroteMusicFor",
"Wild_Poses"
],
[
"Los_Angeles",
"isLocatedIn",
"United_States"
],
[
"Louisville,_Kentucky",
"isLocatedIn",
"United_States"
],
[
"Marvin_Hatley",
"hasGender",
"male"
],
[
"Marvin_Hatley",
"wroteMusicFor",
"A_Chump_at_Oxford"
],
[
"Marvin_Hatley",
"wroteMusicFor",
"A_Tough_Winter"
],
[
"Marvin_Hatley",
"wroteMusicFor",
"Arbor_Day_(film)"
],
[
"Marvin_Hatley",
"wroteMusicFor",
"Bedtime_Worries"
],
[
"Marvin_Hatley",
"wroteMusicFor",
"Block-Heads"
],
[
"Marvin_Hatley",
"wroteMusicFor",
"Bonnie_Scotland"
],
[
"Marvin_Hatley",
"wroteMusicFor",
"General_Spanky"
],
[
"Marvin_Hatley",
"wroteMusicFor",
"Our_Gang_Follies_of_1936"
],
[
"Marvin_Hatley",
"wroteMusicFor",
"Our_Gang_Follies_of_1938"
],
[
"Marvin_Hatley",
"wroteMusicFor",
"Pack_Up_Your_Troubles"
],
[
"Marvin_Hatley",
"wroteMusicFor",
"Saps_at_Sea"
],
[
"Marvin_Hatley",
"wroteMusicFor",
"School's_Out_(1930_film)"
],
[
"Marvin_Hatley",
"wroteMusicFor",
"Sons_of_the_Desert"
],
[
"Marvin_Hatley",
"wroteMusicFor",
"Teacher's_Pet_(1930_film)"
],
[
"Marvin_Hatley",
"wroteMusicFor",
"The_Music_Box"
],
[
"Marvin_Hatley",
"wroteMusicFor",
"Them_Thar_Hills"
],
[
"Marvin_Hatley",
"wroteMusicFor",
"Wild_Poses"
],
[
"Men_O'_War",
"isLocatedIn",
"United_States"
],
[
"Men_in_Black_(1934_film)",
"isLocatedIn",
"United_States"
],
[
"Nothing_but_Trouble_(1944_film)",
"isLocatedIn",
"United_States"
],
[
"Oliver_Hardy",
"actedIn",
"A_Chump_at_Oxford"
],
[
"Oliver_Hardy",
"actedIn",
"Air_Raid_Wardens"
],
[
"Oliver_Hardy",
"actedIn",
"Along_Came_Auntie"
],
[
"Oliver_Hardy",
"actedIn",
"Angora_Love"
],
[
"Oliver_Hardy",
"actedIn",
"Atoll_K"
],
[
"Oliver_Hardy",
"actedIn",
"Baby_Brother"
],
[
"Oliver_Hardy",
"actedIn",
"Big_Business_(1929_film)"
],
[
"Oliver_Hardy",
"actedIn",
"Block-Heads"
],
[
"Oliver_Hardy",
"actedIn",
"Bonnie_Scotland"
],
[
"Oliver_Hardy",
"actedIn",
"Flying_Elephants"
],
[
"Oliver_Hardy",
"actedIn",
"From_Soup_to_Nuts"
],
[
"Oliver_Hardy",
"actedIn",
"Habeas_Corpus_(1928_film)"
],
[
"Oliver_Hardy",
"actedIn",
"Hollywood_Party_(1934_film)"
],
[
"Oliver_Hardy",
"actedIn",
"Jitterbugs"
],
[
"Oliver_Hardy",
"actedIn",
"Men_O'_War"
],
[
"Oliver_Hardy",
"actedIn",
"Nothing_but_Trouble_(1944_film)"
],
[
"Oliver_Hardy",
"actedIn",
"Pack_Up_Your_Troubles"
],
[
"Oliver_Hardy",
"actedIn",
"Perfect_Day_(1929_film)"
],
[
"Oliver_Hardy",
"actedIn",
"Saps_at_Sea"
],
[
"Oliver_Hardy",
"actedIn",
"Scram!"
],
[
"Oliver_Hardy",
"actedIn",
"Sons_of_the_Desert"
],
[
"Oliver_Hardy",
"actedIn",
"Swiss_Miss_(film)"
],
[
"Oliver_Hardy",
"actedIn",
"The_Big_Noise"
],
[
"Oliver_Hardy",
"actedIn",
"The_Bohemian_Girl_(film)"
],
[
"Oliver_Hardy",
"actedIn",
"The_Dancing_Masters"
],
[
"Oliver_Hardy",
"actedIn",
"The_Devil's_Brother"
],
[
"Oliver_Hardy",
"actedIn",
"The_Music_Box"
],
[
"Oliver_Hardy",
"actedIn",
"Their_Purple_Moment"
],
[
"Oliver_Hardy",
"actedIn",
"Them_Thar_Hills"
],
[
"Oliver_Hardy",
"actedIn",
"They_Go_Boom"
],
[
"Oliver_Hardy",
"actedIn",
"Thundering_Fleas"
],
[
"Oliver_Hardy",
"actedIn",
"Unaccustomed_As_We_Are"
],
[
"Oliver_Hardy",
"actedIn",
"Way_Out_West_(1937_film)"
],
[
"Oliver_Hardy",
"actedIn",
"Wild_Poses"
],
[
"Oliver_Hardy",
"diedIn",
"Los_Angeles"
],
[
"Oliver_Hardy",
"hasGender",
"male"
],
[
"One_Terrible_Day",
"isLocatedIn",
"United_States"
],
[
"Our_Gang_(film)",
"isLocatedIn",
"United_States"
],
[
"Our_Gang_Follies_of_1936",
"isLocatedIn",
"United_States"
],
[
"Our_Gang_Follies_of_1938",
"isLocatedIn",
"United_States"
],
[
"Pack_Up_Your_Troubles",
"isLocatedIn",
"United_States"
],
[
"Pardon_My_Scotch",
"isLocatedIn",
"United_States"
],
[
"Perfect_Day_(1929_film)",
"isLocatedIn",
"United_States"
],
[
"Raggedy_Rose",
"isLocatedIn",
"United_States"
],
[
"Railroadin'",
"isLocatedIn",
"United_States"
],
[
"Santa_Monica,_California",
"isLocatedIn",
"United_States"
],
[
"Saps_at_Sea",
"isLocatedIn",
"United_States"
],
[
"Saturday_Morning_(1922_film)",
"isLocatedIn",
"United_States"
],
[
"School's_Out_(1930_film)",
"isLocatedIn",
"United_States"
],
[
"Scram!",
"isLocatedIn",
"United_States"
],
[
"Seeing_the_World",
"isLocatedIn",
"United_States"
],
[
"Shrimps_for_a_Day",
"isLocatedIn",
"United_States"
],
[
"Small_Talk_(film)",
"isLocatedIn",
"United_States"
],
[
"Sons_of_the_Desert",
"isLocatedIn",
"United_States"
],
[
"Stage_Fright_(1923_film)",
"isLocatedIn",
"United_States"
],
[
"Stan_Laurel",
"actedIn",
"A_Chump_at_Oxford"
],
[
"Stan_Laurel",
"actedIn",
"Air_Raid_Wardens"
],
[
"Stan_Laurel",
"actedIn",
"Angora_Love"
],
[
"Stan_Laurel",
"actedIn",
"Atoll_K"
],
[
"Stan_Laurel",
"actedIn",
"Big_Business_(1929_film)"
],
[
"Stan_Laurel",
"actedIn",
"Block-Heads"
],
[
"Stan_Laurel",
"actedIn",
"Flying_Elephants"
],
[
"Stan_Laurel",
"actedIn",
"From_Soup_to_Nuts"
],
[
"Stan_Laurel",
"actedIn",
"Habeas_Corpus_(1928_film)"
],
[
"Stan_Laurel",
"actedIn",
"Hollywood_Party_(1934_film)"
],
[
"Stan_Laurel",
"actedIn",
"Jitterbugs"
],
[
"Stan_Laurel",
"actedIn",
"Men_O'_War"
],
[
"Stan_Laurel",
"actedIn",
"Nothing_but_Trouble_(1944_film)"
],
[
"Stan_Laurel",
"actedIn",
"Pack_Up_Your_Troubles"
],
[
"Stan_Laurel",
"actedIn",
"Perfect_Day_(1929_film)"
],
[
"Stan_Laurel",
"actedIn",
"Saps_at_Sea"
],
[
"Stan_Laurel",
"actedIn",
"Scram!"
],
[
"Stan_Laurel",
"actedIn",
"Sons_of_the_Desert"
],
[
"Stan_Laurel",
"actedIn",
"Swiss_Miss_(film)"
],
[
"Stan_Laurel",
"actedIn",
"The_Big_Noise"
],
[
"Stan_Laurel",
"actedIn",
"The_Bohemian_Girl_(film)"
],
[
"Stan_Laurel",
"actedIn",
"The_Dancing_Masters"
],
[
"Stan_Laurel",
"actedIn",
"The_Devil's_Brother"
],
[
"Stan_Laurel",
"actedIn",
"The_Music_Box"
],
[
"Stan_Laurel",
"actedIn",
"Their_Purple_Moment"
],
[
"Stan_Laurel",
"actedIn",
"Them_Thar_Hills"
],
[
"Stan_Laurel",
"actedIn",
"They_Go_Boom"
],
[
"Stan_Laurel",
"actedIn",
"Unaccustomed_As_We_Are"
],
[
"Stan_Laurel",
"actedIn",
"Way_Out_West_(1937_film)"
],
[
"Stan_Laurel",
"actedIn",
"Wild_Poses"
],
[
"Stan_Laurel",
"created",
"Along_Came_Auntie"
],
[
"Stan_Laurel",
"created",
"Raggedy_Rose"
],
[
"Stan_Laurel",
"diedIn",
"Santa_Monica,_California"
],
[
"Stan_Laurel",
"hasGender",
"male"
],
[
"Swiss_Miss_(film)",
"isLocatedIn",
"United_States"
],
[
"Teacher's_Pet_(1930_film)",
"isLocatedIn",
"United_States"
],
[
"The_Big_Noise",
"isLocatedIn",
"United_States"
],
[
"The_Big_Show_(1923_film)",
"isLocatedIn",
"United_States"
],
[
"The_Bohemian_Girl_(film)",
"isLocatedIn",
"United_States"
],
[
"The_Champeen",
"isLocatedIn",
"United_States"
],
[
"The_Cobbler_(1923_film)",
"isLocatedIn",
"United_States"
],
[
"The_Dancing_Masters",
"isLocatedIn",
"United_States"
],
[
"The_Devil's_Brother",
"isLocatedIn",
"United_States"
],
[
"The_Music_Box",
"isLocatedIn",
"United_States"
],
[
"Their_Purple_Moment",
"isLocatedIn",
"United_States"
],
[
"Them_Thar_Hills",
"isLocatedIn",
"United_States"
],
[
"They_Go_Boom",
"isLocatedIn",
"United_States"
],
[
"They_Just_Had_to_Get_Married",
"isLocatedIn",
"United_States"
],
[
"Thundering_Fleas",
"isLocatedIn",
"United_States"
],
[
"Two_Too_Young",
"isLocatedIn",
"United_States"
],
[
"Unaccustomed_As_We_Are",
"isLocatedIn",
"United_States"
],
[
"Vero_Beach,_Florida",
"isLocatedIn",
"United_States"
],
[
"Way_Out_West_(1937_film)",
"isLocatedIn",
"United_States"
],
[
"Wild_Poses",
"isLocatedIn",
"United_States"
],
[
"Young_Sherlocks",
"isLocatedIn",
"United_States"
]
],
"ground_truth": [],
"gt_cost": null
} |
YAGO |
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
68632, Aalborg_DH
117012, Anja_Andersen
29408, Antioch_College
76398, Beáta_Siti
119411, Birte_Weiss
79090, Bækkelagets_SK
27868, Camilla_Andersen
119941, Christina_of_Saxony
55153, Cliff_Robertson
25977, Clifford_Geertz
84839, Connie_Hedegaard
33133, Coretta_Scott_King
64438, Denmark
47504, Denmark_women's_national_handball_team
118949, Dina_Merrill
13708, Emiliya_Turey
29506, FCK_Håndbold
40968, FC_Midtjylland_Håndbold
87566, Gro_Hammerseng
113940, Harvard_University
73645, Heidi_Løke
64124, Helle_Thorning-Schmidt
29611, Howard_Hughes_Medical_Institute
108301, James_Watson
109271, Joan_A._Steitz
73224, Karen_Blixen
95031, Karen_Ellemann
77973, Karen_Jespersen
31714, Karin_Mortensen
17942, Katalin_Pálinger
62156, Katja_Nyberg
96736, Katrine_Lunde_Haraldsen
3789, Kristine_Lunde-Borgersen
78831, Lene_Espersen
55494, Lene_Hau
41041, Linnea_Torstenson
18352, Lisbeth_Movin
59490, Lois_Wolk
105225, Lotte_Kiærskou
115473, Margrethe_II_of_Denmark
4273, Mario_Capecchi
24793, National_Medal_of_Science
82727, Odense
34877, Philadelphia
86102, Slagelse_FH
102782, Stephen_Jay_Gould
329, Viborg_HK
80384, female
15665, Ágnes_Farkas
src, edge_attr, dst
117012, hasGender, 80384
117012, isAffiliatedTo, 68632
117012, isAffiliatedTo, 79090
117012, isAffiliatedTo, 47504
117012, isAffiliatedTo, 29506
117012, isAffiliatedTo, 40968
117012, isAffiliatedTo, 86102
117012, isAffiliatedTo, 329
117012, isCitizenOf, 64438
117012, playsFor, 68632
117012, playsFor, 79090
117012, playsFor, 40968
117012, playsFor, 329
117012, wasBornIn, 82727
76398, hasGender, 80384
76398, isAffiliatedTo, 40968
76398, playsFor, 40968
119411, hasGender, 80384
119411, isPoliticianOf, 64438
27868, hasGender, 80384
27868, isAffiliatedTo, 79090
27868, isAffiliatedTo, 47504
27868, isAffiliatedTo, 29506
27868, isAffiliatedTo, 86102
27868, playsFor, 79090
27868, playsFor, 29506
27868, playsFor, 86102
119941, diedIn, 82727
119941, hasGender, 80384
55153, graduatedFrom, 29408
55153, isMarriedTo, 118949
25977, diedIn, 34877
25977, graduatedFrom, 29408
25977, graduatedFrom, 113940
84839, hasGender, 80384
84839, isPoliticianOf, 64438
33133, graduatedFrom, 29408
33133, hasGender, 80384
118949, hasGender, 80384
118949, isMarriedTo, 55153
13708, hasGender, 80384
13708, isAffiliatedTo, 29506
13708, isAffiliatedTo, 86102
13708, playsFor, 29506
13708, playsFor, 86102
87566, hasGender, 80384
87566, isAffiliatedTo, 40968
87566, playsFor, 40968
73645, hasGender, 80384
73645, isAffiliatedTo, 68632
73645, playsFor, 68632
64124, hasGender, 80384
64124, isLeaderOf, 64438
64124, isPoliticianOf, 64438
109271, graduatedFrom, 29408
109271, graduatedFrom, 113940
109271, hasAcademicAdvisor, 108301
109271, hasGender, 80384
109271, hasWonPrize, 24793
109271, worksAt, 29611
73224, hasGender, 80384
73224, isCitizenOf, 64438
95031, hasGender, 80384
95031, isPoliticianOf, 64438
77973, hasGender, 80384
77973, isPoliticianOf, 64438
31714, hasGender, 80384
31714, isAffiliatedTo, 47504
31714, isAffiliatedTo, 29506
31714, isAffiliatedTo, 40968
31714, playsFor, 47504
31714, playsFor, 29506
31714, playsFor, 40968
17942, hasGender, 80384
17942, isAffiliatedTo, 29506
17942, playsFor, 29506
62156, hasGender, 80384
62156, isAffiliatedTo, 40968
62156, playsFor, 40968
96736, hasGender, 80384
96736, isAffiliatedTo, 68632
96736, isAffiliatedTo, 329
96736, playsFor, 68632
96736, playsFor, 329
3789, hasGender, 80384
3789, isAffiliatedTo, 68632
3789, isAffiliatedTo, 329
3789, playsFor, 68632
3789, playsFor, 329
78831, hasGender, 80384
78831, isPoliticianOf, 64438
55494, hasGender, 80384
55494, isCitizenOf, 64438
41041, hasGender, 80384
41041, isAffiliatedTo, 68632
41041, isAffiliatedTo, 40968
41041, isAffiliatedTo, 329
18352, hasGender, 80384
18352, wasBornIn, 82727
59490, graduatedFrom, 29408
59490, hasGender, 80384
59490, wasBornIn, 34877
105225, hasGender, 80384
105225, isAffiliatedTo, 47504
105225, isAffiliatedTo, 329
105225, isCitizenOf, 64438
105225, playsFor, 47504
105225, playsFor, 329
115473, hasGender, 80384
115473, isLeaderOf, 64438
4273, graduatedFrom, 29408
4273, graduatedFrom, 113940
4273, hasAcademicAdvisor, 108301
4273, hasWonPrize, 24793
4273, worksAt, 29611
82727, isLocatedIn, 64438
102782, graduatedFrom, 29408
102782, worksAt, 113940
15665, hasGender, 80384
15665, isAffiliatedTo, 68632
15665, playsFor, 68632
Question: How are Anja_Andersen and Antioch_College related?
Your output must be ONLY the PATH block.
| graph_path | {
"style": "rule"
} | {
"entities": [
"Anja_Andersen",
"Antioch_College"
],
"valid_edges": [
[
"Anja_Andersen",
"hasGender",
"female"
],
[
"Anja_Andersen",
"isAffiliatedTo",
"Aalborg_DH"
],
[
"Anja_Andersen",
"isAffiliatedTo",
"Bækkelagets_SK"
],
[
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[
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],
[
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],
[
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"playsFor",
"Aalborg_DH"
]
],
"ground_truth": [],
"gt_cost": null
} |
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