triple1 listlengths 3 3 | triple2 listlengths 3 3 | triple3 listlengths 3 3 | triple1_labels listlengths 3 3 | triple2_labels listlengths 3 3 | triple3_labels listlengths 3 3 | description stringlengths 8 19 | keep_triple bool 1
class | query_prompt stringlengths 3.23k 3.36k | query stringlengths 85 226 | entity_a stringlengths 3 55 | entity_b stringlengths 4 85 | rel_b stringclasses 88
values | index int64 0 930 | prompt stringlengths 3.53k 3.75k | path_prediction listlengths 1 1 | prompt_for_path listlengths 1 1 | usage listlengths 1 1 | __index_level_0__ int64 0 928 | raw_path_prediction listlengths 1 1 | source_path listlengths 3 3 | parsed_paths stringlengths 4 4.07k | reasoning_paths listlengths 1 1 | paths_0 stringlengths 2 4.07k | reasoning_0 stringlengths 1.89k 7.08k | relation_recall_scores_set_0 float64 0 0 | num_paths_where_source_relations_found_0 float64 0 0 | path_recall_scores_set_0 float64 0 0 | num_paths_where_source_triple_found_0 float64 0 0 | relation_lexical_uniqueness_0 int64 0 38 | entity_lexical_uniqueness_0 int64 0 55 | num_triples_0 int64 0 58 | uniqueness_scores_0 listlengths 1 24 | unique_raw_response_0 listlengths 1 24 | max_uniqueness_score_0 listlengths 1 24 | factuality_scores_0 listlengths 1 24 | raw_responses_factuality_0 listlengths 1 24 | parsed_scores_factuality_0 listlengths 1 24 | raw_salience_scores_0 listlengths 1 24 | min_salience_scores_0 listlengths 1 24 | salience_raw_responses_0 listlengths 1 24 | validity_per_path_0 listlengths 1 24 | validity_reasons_0 listlengths 1 24 | avg_path_length_0 float64 0 6.4 | num_paths_0 float64 0 24 |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
[
"Q1352656",
"P166",
"Q935843"
] | [
"Q356715",
"P166",
"Q935843"
] | [
"Q356715",
"P358",
"Q100871850"
] | [
"Morton Gould",
"award received",
"Grammy Lifetime Achievement Award"
] | [
"Benny Carter",
"award received",
"Grammy Lifetime Achievement Award"
] | [
"Benny Carter",
"discography",
"Benny Carter discography"
] | Q935843__P166 | false | Task: Generate a Natural Language Query.
You will be given input in the following format:
Concept A: entity1
Concept B: entity2
Concept C: (concept B, rel, entity3)
Concept A and Concept C are connected via an independent concept B. Concept C is a property of Concept B, which the person is supposed to guess.
You... | What are different ways of connecting Morton Gould, the American composer and conductor, and someone who has a notable discography in the music industry? | Morton Gould | Benny Carter discography | discography | 0 | Query: What are different ways of connecting Morton Gould, the American composer and conductor, and someone who has a notable discography in the music industry?
Task: Identify how two real-world entities are connected by producing MANY connection paths. A connection path is a sequence of factual triples (head, relatio... | [
"<think>Let me think through this carefully. I need to find connection paths from \"Morton Gould\" to \"Benny Carter discography\".\n\nThe target endpoint is a discography - specifically Benny Carter's discography. So every path must end with:\n(some entity, \"discography\", \"Benny Carter discography\")\n\nLet me ... | [
"Query: What are different ways of connecting Morton Gould, the American composer and conductor, and someone who has a notable discography in the music industry?\n\nTask: Identify how two real-world entities are connected by producing MANY connection paths. A connection path is a sequence of factual triples (head, ... | [
{
"completion_tokens": 1988,
"prompt_tokens": 859,
"total_tokens": 2847
}
] | 0 | [
"<think>Let me think through this carefully. I need to find connection paths from \"Morton Gould\" to \"Benny Carter discography\".\n\nThe target endpoint is a discography - specifically Benny Carter's discography. So every path must end with:\n(some entity, \"discography\", \"Benny Carter discography\")\n\nLet me ... | [
[
"Morton Gould",
"award received",
"Grammy Lifetime Achievement Award"
],
[
"Benny Carter",
"award received",
"Grammy Lifetime Achievement Award"
],
[
"Benny Carter",
"discography",
"Benny Carter discography"
]
] | [[[["morton gould", "contemporary of", "benny carter"], ["benny carter", "discography", "benny carter discography"]], [["morton gould", "recorded for", "rca victor"], ["rca victor", "recorded", "benny carter"], ["benny carter", "discography", "benny carter discography"]], [["morton gould", "recorded for", "columbia rec... | [
"<think>Let me think through this carefully. I need to find connection paths from \"Morton Gould\" to \"Benny Carter discography\".\n\nThe target endpoint is a discography - specifically Benny Carter's discography. So every path must end with:\n(some entity, \"discography\", \"Benny Carter discography\")\n\nLet me ... | [[["morton gould", "contemporary of", "benny carter"], ["benny carter", "discography", "benny carter discography"]], [["morton gould", "recorded for", "rca victor"], ["rca victor", "recorded", "benny carter"], ["benny carter", "discography", "benny carter discography"]], [["morton gould", "recorded for", "columbia reco... | "<think>Let me think through this carefully. I need to find connection paths from \"Morton Gould\" to \"Benny Carter discography\".\n\nThe target endpoint is a discography - specifically Benny Carter's discography. So every path must end with:\n(some entity, \"discography\", \"Benny Carter discography\")\n\nLet me thin... | 0 | 0 | 0 | 0 | 15 | 9 | 18 | [
[
2,
1
],
[
1,
1,
1
],
[
1,
1,
1
],
[
1,
1,
1
],
[
1,
1,
1
],
[
1,
2,
1
],
[
1,
3,
1
],
[
2,
1
],
[
1,
1,
1
],
[
1,
2,
1
]
] | [
"{\n \"explanation\": \"Morton Gould is publicly known primarily as an American composer and conductor. The statement that he was a \\\"contemporary of\\\" Benny Carter describes a biographical relationship rather than a core activity like composing or conducting; such relational facts are commonly mentioned but a... | [
2,
1,
1,
1,
1,
2,
3,
2,
1,
2
] | [
0,
1,
0,
1,
1,
1,
1,
1,
1,
0
] | [
"{\n \"explanation\": \"The first triple links two real, well‑known musicians—composer Morton Gould and jazz saxophonist Benny Carter—who were active during overlapping periods, making the claim that they were contemporaries accurate and not hallucinated. The second triple treats \\\"benny carter discography\\\" a... | [
[
1,
0
],
[
1,
1,
1
],
[
1,
1,
0
],
[
1,
1,
1
],
[
1,
1,
1
],
[
1,
1,
1
],
[
1,
1,
1
],
[
1,
1
],
[
1,
1,
1
],
[
1,
1,
0
]
] | [
[
3,
5
],
[
2,
1,
5
],
[
2,
1,
5
],
[
2,
1,
5
],
[
1,
1,
5
],
[
1,
1,
5
],
[
3,
1,
5
],
[
4,
5
],
[
2,
3,
5
],
[
1,
1,
5
]
] | [
3,
1,
1,
1,
1,
1,
1,
4,
2,
1
] | [
"[\n {\n \"explanation\": \"Class A (subjects that are \\\"contemporary of\\\" Benny Carter) includes all musicians, composers, and public figures who lived and worked in the same era as Benny Carter (roughly 1900‑1960). The jazz world alone contains hundreds of such figures, and when broader cultural contempor... | [
1,
1,
1,
1,
1,
1,
1,
1,
1,
1
] | [
"",
"",
"",
"",
"",
"",
"",
"",
"",
""
] | 2.8 | 10 |
[
"Q57067",
"P166",
"Q38104"
] | [
"Q131729",
"P166",
"Q38104"
] | [
"Q131729",
"P106",
"Q593644"
] | [
"Max von Laue",
"award received",
"Nobel Prize in Physics"
] | [
"William Lawrence Bragg",
"award received",
"Nobel Prize in Physics"
] | [
"William Lawrence Bragg",
"occupation",
"chemist"
] | Q38104__P166 | false | Task: Generate a Natural Language Query.
You will be given input in the following format:
Concept A: entity1
Concept B: entity2
Concept C: (concept B, rel, entity3)
Concept A and Concept C are connected via an independent concept B. Concept C is a property of Concept B, which the person is supposed to guess.
You... | What are different ways of connecting Max von Laue, the physicist known for his work in X-ray diffraction, and someone who is recognized for their contributions as a chemist? | Max von Laue | chemist | occupation | 1 | Query: What are different ways of connecting Max von Laue, the physicist known for his work in X-ray diffraction, and someone who is recognized for their contributions as a chemist?
Task: Identify how two real-world entities are connected by producing MANY connection paths. A connection path is a sequence of factual t... | [
"<think>Let me think about how to connect Max von Laue (physicist known for X-ray diffraction) to someone who is recognized as a chemist.\n\nMax von Laue was a German physicist who won the Nobel Prize in Physics in 1912 for his discovery of the diffraction of X-rays by crystals. He lived from 1879-1960.\n\nI need t... | [
"Query: What are different ways of connecting Max von Laue, the physicist known for his work in X-ray diffraction, and someone who is recognized for their contributions as a chemist?\n\nTask: Identify how two real-world entities are connected by producing MANY connection paths. A connection path is a sequence of fa... | [
{
"completion_tokens": 3300,
"prompt_tokens": 864,
"total_tokens": 4164
}
] | 1 | [
"<think>Let me think about how to connect Max von Laue (physicist known for X-ray diffraction) to someone who is recognized as a chemist.\n\nMax von Laue was a German physicist who won the Nobel Prize in Physics in 1912 for his discovery of the diffraction of X-rays by crystals. He lived from 1879-1960.\n\nI need t... | [
[
"Max von Laue",
"award received",
"Nobel Prize in Physics"
],
[
"William Lawrence Bragg",
"award received",
"Nobel Prize in Physics"
],
[
"William Lawrence Bragg",
"occupation",
"chemist"
]
] | [[[["max von laue", "pioneered", "x-ray crystallography"], ["dorothy hodgkin", "expert in", "x-ray crystallography"], ["dorothy hodgkin", "occupation", "chemist"]], [["max von laue", "contemporary of", "linus pauling"], ["linus pauling", "studied", "chemical bonding"], ["linus pauling", "occupation", "chemist"]], [["ma... | [
"<think>Let me think about how to connect Max von Laue (physicist known for X-ray diffraction) to someone who is recognized as a chemist.\n\nMax von Laue was a German physicist who won the Nobel Prize in Physics in 1912 for his discovery of the diffraction of X-rays by crystals. He lived from 1879-1960.\n\nI need t... | [[["max von laue", "pioneered", "x-ray crystallography"], ["dorothy hodgkin", "expert in", "x-ray crystallography"], ["dorothy hodgkin", "occupation", "chemist"]], [["max von laue", "contemporary of", "linus pauling"], ["linus pauling", "studied", "chemical bonding"], ["linus pauling", "occupation", "chemist"]], [["max... | "<think>Let me think about how to connect Max von Laue (physicist known for X-ray diffraction) to someone who is recognized as a chemist.\n\nMax von Laue was a German physicist who won the Nobel Prize in Physics in 1912 for his discovery of the diffraction of X-rays by crystals. He lived from 1879-1960.\n\nI need to fi... | 0 | 0 | 0 | 0 | 14 | 8 | 20 | [
[
1,
1,
1
],
[
2,
1,
1
],
[
1,
1,
1
],
[
1,
1,
1
],
[
2,
2,
1
],
[
1,
1,
1
],
[
1,
2,
1
],
[
1,
1,
1
],
[
2,
1,
1
],
[
3,
1,
1
]
] | [
"{\n \"explanation\": \"Max von Laue is publicly known as a physicist who pioneered X‑ray diffraction (crystallography), so the triple that he pioneered X‑ray crystallography directly matches his core domain and is typical (T1). Dorothy Hodgkin is widely recognized as a chemist famous for her work with X‑ray cryst... | [
1,
2,
1,
1,
2,
1,
2,
1,
2,
3
] | [
1,
1,
1,
1,
0,
1,
1,
1,
1,
0
] | [
"{\n \"explanation\": \"All three triples involve real, well‑known individuals and accurate relationships. Max von Laue was a German physicist who discovered X‑ray diffraction by crystals, effectively pioneering X‑ray crystallography. Dorothy Hodgkin was a British Nobel‑winning chemist renowned for her expertise i... | [
[
1,
1,
1
],
[
1,
1,
1
],
[
1,
1,
1
],
[
1,
1,
1
],
[
0,
1,
1
],
[
1,
1,
1
],
[
1,
1,
1
],
[
1,
1,
1
],
[
1,
1,
1
],
[
0,
1,
1
]
] | [
[
5,
4,
1
],
[
1,
1,
1
],
[
1,
1,
1
],
[
3,
3,
1
],
[
4,
4,
1
],
[
1,
1,
1
],
[
4,
2,
1
],
[
5,
4,
1
],
[
4,
4,
1
],
[
3,
5,
1
]
] | [
4,
1,
1,
3,
4,
1,
2,
4,
4,
3
] | [
"[\n {\n \"explanation\": \"Class A (subjects who pioneered X‑ray crystallography): historically only a handful of scientists are credited – Max von Laue, W.L. Bragg (and his father) and perhaps one or two others, so I estimate about 3. Class B (objects Max von Laue pioneered): his main pioneering contribution ... | [
1,
1,
1,
0,
1,
1,
0,
0,
1,
1
] | [
"",
"",
"",
"there is no continuity for the pair (0, 1)",
"",
"",
"there is no continuity for the pair (0, 1)",
"there is no continuity for the pair (0, 1)",
"",
""
] | 3 | 10 |
[
"Q2085",
"P161",
"Q164328"
] | [
"Q2085",
"P161",
"Q174263"
] | [
"Q174263",
"P19",
"Q268873"
] | [
"Twin Peaks",
"cast member",
"David Koechner"
] | [
"Twin Peaks",
"cast member",
"Rodney Rowland"
] | [
"Rodney Rowland",
"place of birth",
"Newport Beach"
] | Q2085__P161 | false | "Task: Generate a Natural Language Query.\n\nYou will be given input in the following format: \nC(...TRUNCATED) | "What are different ways of connecting David Koechner, the American actor and comedian, and someone (...TRUNCATED) | David Koechner | Newport Beach | place of birth | 2 | "Query: What are different ways of connecting David Koechner, the American actor and comedian, and s(...TRUNCATED) | ["<think>Let me think about this carefully. I need to find connection paths from David Koechner to s(...TRUNCATED) | ["Query: What are different ways of connecting David Koechner, the American actor and comedian, and (...TRUNCATED) | [
{
"completion_tokens": 1712,
"prompt_tokens": 893,
"total_tokens": 2605
}
] | 0 | ["<think>Let me think about this carefully. I need to find connection paths from David Koechner to s(...TRUNCATED) | [["Twin Peaks","cast member","David Koechner"],["Twin Peaks","cast member","Rodney Rowland"],["Rodne(...TRUNCATED) | "[[[[\"1\", \"[['david koechner', 'appeared in film with', 'will ferrell'], ['will ferrell', 'co-sta(...TRUNCATED) | ["<think>Let me think about this carefully. I need to find connection paths from David Koechner to s(...TRUNCATED) | "[[[\"1\", \"[['david koechner', 'appeared in film with', 'will ferrell'], ['will ferrell', 'co-star(...TRUNCATED) | "\"<think>Let me think about this carefully. I need to find connection paths from David Koechner to (...TRUNCATED) | 0 | 0 | 0 | 0 | 2 | 2 | 2 | [
[
1,
1,
2,
1,
2,
2,
1,
1,
1,
2
],
[
1
]
] | ["{\n \"explanation\": \"David Koechner is publicly known as an actor and comedian, so facts about (...TRUNCATED) | [
2,
1
] | [
0,
0
] | ["{\n \"explanation\": \"I examined each triple for real, identifiable entities and for a plausible(...TRUNCATED) | [
[
1,
0,
0,
0,
0,
0,
0,
0,
0,
0
],
[
0
]
] | [
[
3,
3,
3,
5,
2,
3,
3,
3,
3,
4
],
[
5
]
] | [
2,
5
] | ["[\n {\n \"explanation\": \"Class A (subjects who appeared in a film with Will Ferrell) include(...TRUNCATED) | [
0,
0
] | [
"there is no continuity for the pair (0, 1)",
""
] | 2 | 2 |
[
"Q18037479",
"P2293",
"Q11081"
] | [
"Q18053558",
"P2293",
"Q11081"
] | [
"Q18053558",
"P2548",
"Q22809711"
] | [
"CD2AP",
"genetic association",
"Alzheimer's disease"
] | [
"ATXN7L1",
"genetic association",
"Alzheimer's disease"
] | [
"ATXN7L1",
"strand orientation",
"reverse strand"
] | Q11081__P2293 | false | "Task: Generate a Natural Language Query.\n\nYou will be given input in the following format: \nC(...TRUNCATED) | "What are different ways of connecting CD2AP, a protein involved in cellular processes, and a substa(...TRUNCATED) | CD2AP | reverse strand | strand orientation | 3 | "Query: What are different ways of connecting CD2AP, a protein involved in cellular processes, and a(...TRUNCATED) | ["<think>Let me analyze this query carefully.\n\nThe query asks for connections between:\n1. CD2AP -(...TRUNCATED) | ["Query: What are different ways of connecting CD2AP, a protein involved in cellular processes, and (...TRUNCATED) | [
{
"completion_tokens": 2072,
"prompt_tokens": 850,
"total_tokens": 2922
}
] | 1 | ["<think>Let me analyze this query carefully.\n\nThe query asks for connections between:\n1. CD2AP -(...TRUNCATED) | [["CD2AP","genetic association","Alzheimer's disease"],["ATXN7L1","genetic association","Alzheimer's(...TRUNCATED) | "[[[[\"cd2ap\", \"encoded by\", \"cd2ap gene\"], [\"cd2ap gene\", \"strand orientation\", \"reverse (...TRUNCATED) | ["<think>Let me analyze this query carefully.\n\nThe query asks for connections between:\n1. CD2AP -(...TRUNCATED) | "[[[\"cd2ap\", \"encoded by\", \"cd2ap gene\"], [\"cd2ap gene\", \"strand orientation\", \"reverse s(...TRUNCATED) | "\"<think>Let me analyze this query carefully.\\n\\nThe query asks for connections between:\\n1. CD2(...TRUNCATED) | 0 | 0 | 0 | 0 | 10 | 8 | 13 | [
[
1,
3
],
[
1,
1
],
[
1,
1
],
[
1,
1,
3
],
[
1,
1,
1
],
[
1,
1,
1,
2,
3
],
[
1,
1,
3
]
] | ["{\n \"explanation\": \"The subject 'cd2ap' is a protein (CD2-associated protein), so its core dom(...TRUNCATED) | [
1,
1,
1,
1,
1,
2,
1
] | [
1,
1,
0,
1,
1,
1,
1
] | ["{\n \"explanation\": \"The first triple links the protein CD2AP (written in lowercase as \\\"cd2a(...TRUNCATED) | [
[
1,
1
],
[
1,
1
],
[
1,
0
],
[
1,
1,
1
],
[
1,
1,
1
],
[
1,
1,
1,
1,
1
],
[
1,
1,
1
]
] | [
[
5,
1
],
[
5,
1
],
[
5,
1
],
[
5,
5,
1
],
[
2,
2,
1
],
[
4,
5,
2,
2,
1
],
[
4,
5,
1
]
] | [
5,
5,
5,
5,
2,
2,
4
] | ["[\n {\n \"explanation\": \"Class A (subject‑variation): all entities that are encoded by the(...TRUNCATED) | [
1,
1,
1,
1,
1,
1,
1
] | [
"",
"",
"",
"",
"",
"",
""
] | 2.857143 | 7 |
[
"Q283572",
"P463",
"Q254138"
] | [
"Q316136",
"P463",
"Q254138"
] | [
"Q316136",
"P19",
"Q39709"
] | [
"Kun Nong",
"member of",
"Slipknot"
] | [
"Chris Fehn",
"member of",
"Slipknot"
] | [
"Chris Fehn",
"place of birth",
"Des Moines"
] | Q254138__P463 | false | "Task: Generate a Natural Language Query.\n\nYou will be given input in the following format: \nC(...TRUNCATED) | What are different ways of connecting Kun Nong and someone who was born in Des Moines? | Kun Nong | Des Moines | place of birth | 4 | "Query: What are different ways of connecting Kun Nong and someone who was born in Des Moines?\n\nTa(...TRUNCATED) | ["<think>Let me think about this query. I need to find connections between \"Kun Nong\" and someone (...TRUNCATED) | ["Query: What are different ways of connecting Kun Nong and someone who was born in Des Moines?\n\nT(...TRUNCATED) | [
{
"completion_tokens": 1093,
"prompt_tokens": 890,
"total_tokens": 1983
}
] | 2 | ["<think>Let me think about this query. I need to find connections between \"Kun Nong\" and someone (...TRUNCATED) | [["Kun Nong","member of","Slipknot"],["Chris Fehn","member of","Slipknot"],["Chris Fehn","place of b(...TRUNCATED) | "[[[[\"kun nong\", \"no reliable connection data available\", \"unable to generate valid paths\"]]]](...TRUNCATED) | ["<think>Let me think about this query. I need to find connections between \"Kun Nong\" and someone (...TRUNCATED) | [[["kun nong", "no reliable connection data available", "unable to generate valid paths"]]] | "\"<think>Let me think about this query. I need to find connections between \\\"Kun Nong\\\" and som(...TRUNCATED) | 0 | 0 | 0 | 0 | 0 | 0 | 0 | [
[
3
]
] | ["{\n \"explanation\": \"The subject \\\"kun nong\\\" is publicly known as a mythological/legendary(...TRUNCATED) | [
3
] | [
0
] | ["{\n \"explanation\": \"The triple lists 'kun nong' as the subject, but there is no known real-wor(...TRUNCATED) | [
[
0
]
] | [
[
5
]
] | [
5
] | ["[\n {\n \"explanation\": \"Class A (subject‑variation): we need all subjects x such that (x,(...TRUNCATED) | [
0
] | [
""
] | 1 | 1 |
[
"Q423327",
"P2175",
"Q12199"
] | [
"Q422654",
"P2175",
"Q12199"
] | [
"Q422654",
"P769",
"Q898407"
] | [
"enfuvirtide",
"medical condition treated",
"HIV/AIDS"
] | [
"saquinavir",
"medical condition treated",
"HIV/AIDS"
] | [
"saquinavir",
"significant drug interaction",
"venlafaxine"
] | Q12199__P2175 | false | "Task: Generate a Natural Language Query.\n\nYou will be given input in the following format: \nC(...TRUNCATED) | "What are different ways of connecting enfuvirtide, a medication used to treat HIV, and a substance (...TRUNCATED) | enfuvirtide | venlafaxine | significant drug interaction | 5 | "Query: What are different ways of connecting enfuvirtide, a medication used to treat HIV, and a sub(...TRUNCATED) | ["<think>This is a challenging query that requires finding connection paths between enfuvirtide and (...TRUNCATED) | ["Query: What are different ways of connecting enfuvirtide, a medication used to treat HIV, and a su(...TRUNCATED) | [
{
"completion_tokens": 2754,
"prompt_tokens": 863,
"total_tokens": 3617
}
] | 3 | ["<think>This is a challenging query that requires finding connection paths between enfuvirtide and (...TRUNCATED) | [["enfuvirtide","medical condition treated","HIV/AIDS"],["saquinavir","medical condition treated","H(...TRUNCATED) | "[[[[\"enfuvirtide\", \"boosted with\", \"ritonavir\"], [\"ritonavir\", \"significant drug interacti(...TRUNCATED) | ["<think>This is a challenging query that requires finding connection paths between enfuvirtide and (...TRUNCATED) | "[[[\"enfuvirtide\", \"boosted with\", \"ritonavir\"], [\"ritonavir\", \"significant drug interactio(...TRUNCATED) | "\"<think>This is a challenging query that requires finding connection paths between enfuvirtide and(...TRUNCATED) | 0 | 0 | 0 | 0 | 10 | 2 | 13 | [
[
2,
2
],
[
1,
1,
2
],
[
1,
1,
1,
3
],
[
1,
1,
1
],
[
1,
1,
1,
3
],
[
1,
1,
2
]
] | ["{\n \"explanation\": \"Enfuvirtide is primarily known as an HIV fusion inhibitor used in antiretr(...TRUNCATED) | [
2,
1,
1,
1,
1,
1
] | [
0,
1,
1,
1,
1,
0
] | ["{\n \"explanation\": \"The first triple links enfuvirtide, an injectable HIV fusion inhibitor, wi(...TRUNCATED) | [
[
0,
1
],
[
1,
1,
1
],
[
1,
1,
1,
1
],
[
1,
1,
1
],
[
1,
1,
1,
1
],
[
1,
1,
0
]
] | [
[
4,
3
],
[
5,
4,
3
],
[
4,
4,
4,
3
],
[
4,
4,
3
],
[
4,
4,
4,
4
],
[
5,
4,
4
]
] | [
4,
4,
4,
4,
4,
4
] | ["[\n {\n \"explanation\": \"Class A (subjects boosted with ritonavir): ritonavir is used as a p(...TRUNCATED) | [
1,
1,
1,
1,
1,
0
] | [
"",
"",
"",
"",
"",
"there is no continuity for the pair (0, 1)"
] | 3.166667 | 6 |
[
"Q77462",
"P463",
"Q32645"
] | [
"Q95556",
"P463",
"Q32645"
] | [
"Q95556",
"P451",
"Q551050"
] | [
"Bela B",
"member of",
"Die Ärzte"
] | [
"Hagen Liebing",
"member of",
"Die Ärzte"
] | [
"Hagen Liebing",
"unmarried partner",
"Anja Caspary"
] | Q32645__P463 | false | "Task: Generate a Natural Language Query.\n\nYou will be given input in the following format: \nC(...TRUNCATED) | "What are different ways of connecting Bela B, the German musician, and someone who is the unmarried(...TRUNCATED) | Bela B | Anja Caspary | unmarried partner | 6 | "Query: What are different ways of connecting Bela B, the German musician, and someone who is the un(...TRUNCATED) | ["<think>Let me break down this task:\n\n1. Start entity: Bela B (German musician)\n2. End condition(...TRUNCATED) | ["Query: What are different ways of connecting Bela B, the German musician, and someone who is the u(...TRUNCATED) | [
{
"completion_tokens": 1991,
"prompt_tokens": 900,
"total_tokens": 2891
}
] | 4 | ["<think>Let me break down this task:\n\n1. Start entity: Bela B (German musician)\n2. End condition(...TRUNCATED) | [["Bela B","member of","Die Ärzte"],["Hagen Liebing","member of","Die Ärzte"],["Hagen Liebing","un(...TRUNCATED) | "[[[[\"bela b\", \"member of\", \"die \\u00e4rzte\"], [\"die \\u00e4rzte\", \"active in\", \"german (...TRUNCATED) | ["<think>Let me break down this task:\n\n1. Start entity: Bela B (German musician)\n2. End condition(...TRUNCATED) | "[[[\"bela b\", \"member of\", \"die \\u00e4rzte\"], [\"die \\u00e4rzte\", \"active in\", \"german p(...TRUNCATED) | "\"<think>Let me break down this task:\\n\\n1. Start entity: Bela B (German musician)\\n2. End condi(...TRUNCATED) | 0 | 0 | 0 | 0 | 12 | 7 | 12 | [
[
1,
1,
1,
3
],
[
1,
1,
3,
3
],
[
1,
1,
2
],
[
1,
2,
3
],
[
1,
3,
2
]
] | ["{\n \"explanation\": \"Bela B is publicly known as a German punk‑rock musician and a member of (...TRUNCATED) | [
1,
3,
1,
2,
3
] | [
0,
0,
0,
0,
0
] | ["{\n \"explanation\": \"The first triple correctly identifies Bela B (the stage name of Dirk Felse(...TRUNCATED) | [
[
1,
1,
1,
0
],
[
1,
1,
1,
0
],
[
1,
1,
0
],
[
1,
1,
0
],
[
1,
1,
0
]
] | [
[
5,
3,
3,
5
],
[
5,
1,
1,
5
],
[
1,
1,
5
],
[
2,
3,
5
],
[
1,
1,
5
]
] | [
3,
1,
1,
2,
1
] | ["[\n {\n \"explanation\": \"Class A (subjects that are members of \\\"die ärzte\\\"): the band(...TRUNCATED) | [
1,
1,
1,
1,
1
] | [
"",
"",
"",
"",
""
] | 3.4 | 5 |
[
"Q651253",
"P40",
"Q1268"
] | [
"Q9356382",
"P40",
"Q1268"
] | [
"Q9356382",
"P22",
"Q11716498"
] | [
"Nicolas Chopin",
"child",
"Frédéric Chopin"
] | [
"Tekla Justyna Chopin",
"child",
"Frédéric Chopin"
] | [
"Tekla Justyna Chopin",
"father",
"Jakub Krzyżanowski"
] | Q1268__P40 | false | "Task: Generate a Natural Language Query.\n\nYou will be given input in the following format: \nC(...TRUNCATED) | "What are different ways of connecting Nicolas Chopin, and someone who is the father of Jakub Krzyż(...TRUNCATED) | Nicolas Chopin | Jakub Krzyżanowski | father | 7 | "Query: What are different ways of connecting Nicolas Chopin, and someone who is the father of Jakub(...TRUNCATED) | ["<think>Let me research the connection between Nicolas Chopin and someone who is the father of Jaku(...TRUNCATED) | ["Query: What are different ways of connecting Nicolas Chopin, and someone who is the father of Jaku(...TRUNCATED) | [
{
"completion_tokens": 1213,
"prompt_tokens": 897,
"total_tokens": 2110
}
] | 5 | ["<think>Let me research the connection between Nicolas Chopin and someone who is the father of Jaku(...TRUNCATED) | [["Nicolas Chopin","child","Frédéric Chopin"],["Tekla Justyna Chopin","child","Frédéric Chopin"](...TRUNCATED) | "[[[[\"nicolas chopin\", \"lived in\", \"warsaw\"], [\"warsaw\", \"was center of\", \"polish intelle(...TRUNCATED) | ["<think>Let me research the connection between Nicolas Chopin and someone who is the father of Jaku(...TRUNCATED) | "[[[\"nicolas chopin\", \"lived in\", \"warsaw\"], [\"warsaw\", \"was center of\", \"polish intellec(...TRUNCATED) | "\"<think>Let me research the connection between Nicolas Chopin and someone who is the father of Jak(...TRUNCATED) | 0 | 0 | 0 | 0 | 12 | 10 | 14 | [
[
1,
1,
3,
1
],
[
3,
3,
3,
1
],
[
3,
3,
1,
1
],
[
2,
3,
1
],
[
1,
1,
1,
1
]
] | ["{\n \"explanation\": \"1) Nicolas Chopin is publicly known primarily as the father of composer Fr(...TRUNCATED) | [
3,
3,
3,
3,
1
] | [
0,
0,
0,
1,
0
] | ["{\n \"explanation\": \"The first triple is correct: Nicolas (Mikołaj) Chopin was a real person w(...TRUNCATED) | [
[
1,
1,
0,
1
],
[
0,
0,
0,
0
],
[
0,
1,
1,
1
],
[
1,
1,
1
],
[
0,
0,
0,
0
]
] | [
[
1,
4,
3,
5
],
[
1,
4,
3,
5
],
[
3,
3,
5,
5
],
[
1,
1,
5
],
[
1,
4,
5,
5
]
] | [
1,
1,
3,
1,
1
] | ["[\n {\n \"explanation\": \"Class A (subjects that lived in Warsaw) includes every person who h(...TRUNCATED) | [
1,
1,
1,
1,
1
] | [
"",
"",
"",
"",
""
] | 3.8 | 5 |
[
"Q23505",
"P40",
"Q207"
] | [
"Q190628",
"P40",
"Q207"
] | [
"Q190628",
"P39",
"Q7166256"
] | [
"George H. W. Bush",
"child",
"George W. Bush"
] | [
"Barbara Bush",
"child",
"George W. Bush"
] | [
"Barbara Bush",
"position held",
"First Lady of the United States"
] | Q207__P40 | false | "Task: Generate a Natural Language Query.\n\nYou will be given input in the following format: \nC(...TRUNCATED) | "What are different ways of connecting George H. W. Bush, the 41st President of the United States, a(...TRUNCATED) | George H. W. Bush | First Lady of the United States | position held | 8 | "Query: What are different ways of connecting George H. W. Bush, the 41st President of the United St(...TRUNCATED) | ["<think>Let me think about this carefully. I need to find connection paths from George H. W. Bush t(...TRUNCATED) | ["Query: What are different ways of connecting George H. W. Bush, the 41st President of the United S(...TRUNCATED) | [
{
"completion_tokens": 2421,
"prompt_tokens": 870,
"total_tokens": 3291
}
] | 6 | ["<think>Let me think about this carefully. I need to find connection paths from George H. W. Bush t(...TRUNCATED) | [["George H. W. Bush","child","George W. Bush"],["Barbara Bush","child","George W. Bush"],["Barbara (...TRUNCATED) | "[[[[\"george h. w. bush\", \"spouse\", \"barbara bush\"], [\"barbara bush\", \"position held\", \"f(...TRUNCATED) | ["<think>Let me think about this carefully. I need to find connection paths from George H. W. Bush t(...TRUNCATED) | "[[[\"george h. w. bush\", \"spouse\", \"barbara bush\"], [\"barbara bush\", \"position held\", \"fi(...TRUNCATED) | "\"<think>Let me think about this carefully. I need to find connection paths from George H. W. Bush (...TRUNCATED) | 0 | 0 | 0 | 0 | 3 | 5 | 5 | [
[
2,
1
],
[
2,
2,
1
],
[
1,
2,
1
]
] | ["{\n \"explanation\": \"For the first triple, George H. W. Bush’s core public identity is as a U(...TRUNCATED) | [
2,
2,
2
] | [
1,
1,
1
] | ["{\n \"explanation\": \"Both triples involve real, well-known individuals. George H. W. Bush was m(...TRUNCATED) | [
[
1,
1
],
[
1,
1,
1
],
[
1,
1,
1
]
] | [
[
5,
4
],
[
5,
5,
4
],
[
5,
5,
4
]
] | [
5,
5,
5
] | ["[\n {\n \"explanation\": \"Class A (subject‑variation): all people who are spouses of Barbar(...TRUNCATED) | [
1,
1,
1
] | [
"",
"",
""
] | 2.666667 | 3 |
[
"Q18037778",
"P2293",
"Q131755"
] | [
"Q18046338",
"P2293",
"Q131755"
] | [
"Q18046338",
"P5572",
"Q64386"
] | [
"INTS7",
"genetic association",
"bipolar disorder"
] | [
"MCTP1",
"genetic association",
"bipolar disorder"
] | [
"MCTP1",
"expressed in",
"gallbladder"
] | Q131755__P2293 | false | "Task: Generate a Natural Language Query.\n\nYou will be given input in the following format: \nC(...TRUNCATED) | "What are different ways of connecting INTS7, a protein involved in various cellular processes, and (...TRUNCATED) | INTS7 | gallbladder | expressed in | 9 | "Query: What are different ways of connecting INTS7, a protein involved in various cellular processe(...TRUNCATED) | ["<think>Let me analyze this query carefully.\n\nThe query asks for connection paths between:\n1. ST(...TRUNCATED) | ["Query: What are different ways of connecting INTS7, a protein involved in various cellular process(...TRUNCATED) | [
{
"completion_tokens": 1719,
"prompt_tokens": 859,
"total_tokens": 2578
}
] | 7 | ["<think>Let me analyze this query carefully.\n\nThe query asks for connection paths between:\n1. ST(...TRUNCATED) | [["INTS7","genetic association","bipolar disorder"],["MCTP1","genetic association","bipolar disorder(...TRUNCATED) | [[]] | ["<think>Let me analyze this query carefully.\n\nThe query asks for connection paths between:\n1. ST(...TRUNCATED) | [] | "\"<think>Let me analyze this query carefully.\\n\\nThe query asks for connection paths between:\\n1(...TRUNCATED) | 0 | 0 | 0 | 0 | 0 | 0 | 0 | [
[]
] | [
"Hello! How can I assist you today?"
] | [
1
] | [
1
] | [
"Hello! How can I assist you today?"
] | [
[]
] | [
[]
] | [
0
] | [
"Hello! How can I assist you today?"
] | [
0
] | [
""
] | 0 | 0 |
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