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 9 15 | keep_triple bool 1
class | query_prompt stringlengths 3.24k 3.33k | query stringlengths 97 170 | entity_a stringlengths 5 18 | entity_b stringlengths 5 40 | rel_b stringlengths 7 25 | prompt stringlengths 3.56k 3.65k | index int64 460 479 | raw_responses stringlengths 1.51k 6.89k |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
[
"Q3491058",
"P40",
"Q535"
] | [
"Q2299673",
"P40",
"Q535"
] | [
"Q2299673",
"P166",
"Q10855195"
] | [
"Sophie Trébuchet",
"child",
"Victor Hugo"
] | [
"Joseph Léopold Sigisbert Hugo",
"child",
"Victor Hugo"
] | [
"Joseph Léopold Sigisbert Hugo",
"award received",
"Officer of the Legion of Honour"
] | Q535__P40 | 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 Sophie Trébuchet, a notable figure in literary history, and someone who received the Officer of the Legion of Honour? | Sophie Trébuchet | Officer of the Legion of Honour | award received | Query: What are different ways of connecting Sophie Trébuchet, a notable figure in literary history, and someone who received the Officer of the Legion of Honour?
Task: Identify how two real-world entities are connected by producing MANY connection paths. A connection path is a sequence of factual triples (head, relat... | 460 | {"final_response": "```json\n{\n \"1\": [\n [\"Sophie Tr\u00e9buchet\", \"mother of\", \"Victor Hugo\"],\n [\"Victor Hugo\", \"award received\", \"Officer of the Legion of Honour\"]\n ],\n \"2\": [\n [\"Sophie Tr\u00e9buchet\", \"mother of\", \"Victor Hugo\"],\n [\"Victor Hugo\", \"friend of\", \"Prosper... |
[
"Q2085",
"P161",
"Q5479089"
] | [
"Q2085",
"P161",
"Q292446"
] | [
"Q292446",
"P3373",
"Q314471"
] | [
"Twin Peaks",
"cast member",
"Francesca Eastwood"
] | [
"Twin Peaks",
"cast member",
"Frances Bay"
] | [
"Frances Bay",
"sibling",
"Erving Goffman"
] | Q2085__P161 | 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 Francesca Eastwood, the actress and daughter of Clint Eastwood, and someone who is a sibling of both Frances Bay and Erving Goffman? | Francesca Eastwood | Erving Goffman | sibling | Query: What are different ways of connecting Francesca Eastwood, the actress and daughter of Clint Eastwood, and someone who is a sibling of both Frances Bay and Erving Goffman?
Task: Identify how two real-world entities are connected by producing MANY connection paths. A connection path is a sequence of factual tripl... | 461 | {"final_response": "```json\n<answer>\n{\n \"1\": [\n [\"Francesca Eastwood\", \"acted in\", \"Twin Peaks (2017)\"],\n [\"Kyle MacLachlan\", \"acted in\", \"Twin Peaks (2017)\"],\n [\"Kyle MacLachlan\", \"acted in\", \"Blue Velvet\"],\n [\"Frances Bay\", \"acted in\", \"Blue Velvet\"],\n [\"Frances Bay\... |
[
"Q40096",
"P40",
"Q298209"
] | [
"Q228787",
"P40",
"Q298209"
] | [
"Q228787",
"P101",
"Q3908516"
] | [
"Will Smith",
"child",
"Willow Smith"
] | [
"Jada Pinkett Smith",
"child",
"Willow Smith"
] | [
"Jada Pinkett Smith",
"field of work",
"entrepreneurship"
] | Q298209__P40 | 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 Will Smith, the well-known actor, and someone who is recognized for their work in the field of entrepreneurship? | Will Smith | entrepreneurship | field of work | Query: What are different ways of connecting Will Smith, the well-known actor, and someone who is recognized for their work in the field of entrepreneurship?
Task: Identify how two real-world entities are connected by producing MANY connection paths. A connection path is a sequence of factual triples (head, relationsh... | 462 | {"final_response": "<answer>\n{\n \"1\": [\n [\"Will Smith\", \"spouse\", \"Jada Pinkett Smith\"],\n [\"Jada Pinkett Smith\", \"field of work\", \"entrepreneurship\"]\n ],\n \"2\": [\n [\"Will Smith\", \"parent of\", \"Jaden Smith\"],\n [\"Jaden Smith\", \"field of work\", \"entrepreneurship\"]\n ],\n ... |
[
"Q1002250",
"P166",
"Q38104"
] | [
"Q56855591",
"P166",
"Q38104"
] | [
"Q56855591",
"P463",
"Q2027280"
] | [
"Duncan Haldane",
"award received",
"Nobel Prize in Physics"
] | [
"Donna Strickland",
"award received",
"Nobel Prize in Physics"
] | [
"Donna Strickland",
"member of",
"Optica"
] | 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 Duncan Haldane, a renowned physicist, and someone who is a member of the journal Optica? | Duncan Haldane | Optica | member of | Query: What are different ways of connecting Duncan Haldane, a renowned physicist, and someone who is a member of the journal Optica?
Task: Identify how two real-world entities are connected by producing MANY connection paths. A connection path is a sequence of factual triples (head, relationship, tail) forming a cont... | 463 | {"final_response": "<answer>\n{\n \"1\": [\n [\"Duncan Haldane\", \"awarded\", \"Nobel Prize in Physics\"],\n [\"Nobel Prize in Physics\", \"awarded to\", \"Donna Strickland\"],\n [\"Donna Strickland\", \"member of\", \"Optica\"]\n ],\n \"2\": [\n [\"Duncan Haldane\", \"employer\", \"Princeton University... |
[
"Q65768604",
"P161",
"Q113005312"
] | [
"Q65768604",
"P161",
"Q5524395"
] | [
"Q5524395",
"P106",
"Q14373094"
] | [
"Thor: Love and Thunder",
"cast member",
"Alan Dukes"
] | [
"Thor: Love and Thunder",
"cast member",
"Garth Wood"
] | [
"Garth Wood",
"occupation",
"rugby league player"
] | Q65768604__P161 | 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 Alan Dukes, a notable figure in Irish politics, and someone who is known for their occupation as a rugby league player? | Alan Dukes | rugby league player | occupation | Query: What are different ways of connecting Alan Dukes, a notable figure in Irish politics, and someone who is known for their occupation as a rugby league player?
Task: Identify how two real-world entities are connected by producing MANY connection paths. A connection path is a sequence of factual triples (head, rel... | 464 | {"final_response": "```json\n{\n \"1\": [\n [\n \"Alan Dukes\",\n \"nationality\",\n \"Republic of Ireland\"\n ],\n [\n \"Republic of Ireland\",\n \"represented by\",\n \"Ireland national rugby league team\"\n ],\n [\n \"Liam Finn\",\n \"played for\",\n \"Ire... |
[
"Q347621",
"P2175",
"Q1477"
] | [
"Q413879",
"P2175",
"Q1477"
] | [
"Q413879",
"P8026",
"Q83284878"
] | [
"olsalazine",
"medical condition treated",
"ulcerative colitis"
] | [
"golimumab",
"medical condition treated",
"ulcerative colitis"
] | [
"golimumab",
"LiverTox likelihood score",
"LiverTox toxicity likelihood category E*"
] | Q1477__P2175 | 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 olsalazine, a chemical compound, and a substance that is categorized in the LiverTox toxicity likelihood category E? | olsalazine | LiverTox toxicity likelihood category E* | LiverTox likelihood score | Query: What are different ways of connecting olsalazine, a chemical compound, and a substance that is categorized in the LiverTox toxicity likelihood category E?
Task: Identify how two real-world entities are connected by producing MANY connection paths. A connection path is a sequence of factual triples (head, relati... | 465 | {"final_response": "```json\n{\n \"1\": [\n [\n \"olsalazine\",\n \"LiverTox likelihood score\",\n \"LiverTox toxicity likelihood category E*\"\n ]\n ],\n \"2\": [\n [\n \"olsalazine\",\n \"metabolized to\",\n \"mesalazine\"\n ],\n [\n \"mesalazine\",\n \"LiverT... |
[
"Q18061762",
"P2293",
"Q128581"
] | [
"Q17816452",
"P2293",
"Q128581"
] | [
"Q17816452",
"P5572",
"Q66592424"
] | [
"DIRC3",
"genetic association",
"breast cancer"
] | [
"AKT1",
"genetic association",
"breast cancer"
] | [
"AKT1",
"expressed in",
"stromal cell of endometrium"
] | Q128581__P2293 | 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 DIRC3, a gene, and a substance that is expressed in the stromal cells of the endometrium? | DIRC3 | stromal cell of endometrium | expressed in | Query: What are different ways of connecting DIRC3, a gene, and a substance that is expressed in the stromal cells of the endometrium?
Task: Identify how two real-world entities are connected by producing MANY connection paths. A connection path is a sequence of factual triples (head, relationship, tail) forming a con... | 466 | {"final_response": "<answer>\n{\n \"1\": [\n [\"DIRC3\", \"regulates\", \"SOX10\"],\n [\"SOX10\", \"interacts with\", \"ESR1\"],\n [\"ESR1\", \"expressed in\", \"stromal cell of endometrium\"]\n ],\n \"2\": [\n [\"DIRC3\", \"interacts with\", \"IGF1\"],\n [\"IGF1\", \"interacts with\", \"IGFBP1\"],\n ... |
[
"Q104195912",
"P57",
"Q104196432"
] | [
"Q104195912",
"P57",
"Q104196302"
] | [
"Q104196302",
"P106",
"Q24387718"
] | [
"Banksy most wanted",
"director",
"Laurent Richard"
] | [
"Banksy most wanted",
"director",
"Seamus Haley"
] | [
"Seamus Haley",
"occupation",
"co-director"
] | Q104195912__P57 | 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 Banksy most wanted and someone who is a co-director by occupation? | Banksy most wanted | co-director | occupation | Query: What are different ways of connecting Banksy most wanted and someone who is a co-director by occupation?
Task: Identify how two real-world entities are connected by producing MANY connection paths. A connection path is a sequence of factual triples (head, relationship, tail) forming a continuous chain that begi... | 467 | {"final_response": "<answer>\n{\n \"1\": [\n [\"Banksy most wanted\", \"directed by\", \"Aur\u00e9lia Rouvier\"],\n [\"Aur\u00e9lia Rouvier\", \"occupation\", \"co-director\"]\n ],\n \"2\": [\n [\"Banksy most wanted\", \"directed by\", \"Seamus Haley\"],\n [\"Seamus Haley\", \"occupation\", \"co-director... |
[
"Q940737",
"P54",
"Q8682"
] | [
"Q3320968",
"P54",
"Q8682"
] | [
"Q3320968",
"P106",
"Q628099"
] | [
"Enrique Corrales",
"member of sports team",
"Real Madrid CF"
] | [
"Jorge D'Alessandro",
"member of sports team",
"Real Madrid CF"
] | [
"Jorge D'Alessandro",
"occupation",
"association football coach"
] | Q8682__P54 | 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 Enrique Corrales, a notable figure in sports, and someone who is an association football coach? | Enrique Corrales | association football coach | occupation | Query: What are different ways of connecting Enrique Corrales, a notable figure in sports, and someone who is an association football coach?
Task: Identify how two real-world entities are connected by producing MANY connection paths. A connection path is a sequence of factual triples (head, relationship, tail) forming... | 468 | {"final_response": "<answer>\n{\n \"1\": [\n [\"Enrique Corrales\", \"coached by\", \"Javier Aguirre\"],\n [\"Javier Aguirre\", \"occupation\", \"association football coach\"]\n ],\n \"2\": [\n [\"Enrique Corrales\", \"coached by\", \"Jos\u00e9 Antonio Camacho\"],\n [\"Jos\u00e9 Antonio Camacho\", \"occu... |
[
"Q722224",
"P39",
"Q62070236"
] | [
"Q1894004",
"P39",
"Q62070236"
] | [
"Q1894004",
"P69",
"Q2840233"
] | [
"Halfdan T. Mahler",
"position held",
"Director-General of the World Health Organization"
] | [
"Marcolino Gomes Candau",
"position held",
"Director-General of the World Health Organization"
] | [
"Marcolino Gomes Candau",
"educated at",
"Rio de Janeiro State University"
] | Q62070236__P39 | 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 Halfdan T. Mahler, a prominent figure in global health, and someone who was educated at Rio de Janeiro State University? | Halfdan T. Mahler | Rio de Janeiro State University | educated at | Query: What are different ways of connecting Halfdan T. Mahler, a prominent figure in global health, and someone who was educated at Rio de Janeiro State University?
Task: Identify how two real-world entities are connected by producing MANY connection paths. A connection path is a sequence of factual triples (head, re... | 469 | {"final_response": "```json\n{\n \"1\": [\n \"(\\\"Halfdan T. Mahler\\\", \\\"director of\\\", \\\"World Health Organization\\\")\",\n \"(\\\"World Health Organization\\\", \\\"collaborates with\\\", \\\"Ministry of Health (Brazil)\\\")\",\n \"(\\\"Nelson Teich\\\", \\\"minister of\\\", \\\"Ministry of Health... |
[
"Q297816",
"P166",
"Q935843"
] | [
"Q215835",
"P166",
"Q935843"
] | [
"Q215835",
"P412",
"Q27914"
] | [
"Sammy Davis Jr.",
"award received",
"Grammy Lifetime Achievement Award"
] | [
"John Entwistle",
"award received",
"Grammy Lifetime Achievement Award"
] | [
"John Entwistle",
"voice type",
"tenor"
] | 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 Sammy Davis Jr., the legendary entertainer, and someone who is known for having a tenor voice type? | Sammy Davis Jr. | tenor | voice type | Query: What are different ways of connecting Sammy Davis Jr., the legendary entertainer, and someone who is known for having a tenor voice type?
Task: Identify how two real-world entities are connected by producing MANY connection paths. A connection path is a sequence of factual triples (head, relationship, tail) for... | 470 | {"final_response": "<answer>\n{\n \"1\": [\n [\"Sammy Davis Jr.\", \"honored at\", \"Sammy Davis Jr. 60th Anniversary Celebration\"],\n [\"Sammy Davis Jr. 60th Anniversary Celebration\", \"featured performer\", \"Michael Jackson\"],\n [\"Michael Jackson\", \"voice type\", \"tenor\"]\n ],\n \"2\": [\n [\"... |
[
"Q8008132",
"P54",
"Q18656"
] | [
"Q2406328",
"P54",
"Q18656"
] | [
"Q2406328",
"P19",
"Q659803"
] | [
"William Dunn",
"member of sports team",
"Manchester United F.C."
] | [
"Bert Whalley",
"member of sports team",
"Manchester United F.C."
] | [
"Bert Whalley",
"place of birth",
"Ashton-under-Lyne"
] | Q18656__P54 | 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 William Dunn and someone who was born in Ashton-under-Lyne? | William Dunn | Ashton-under-Lyne | place of birth | Query: What are different ways of connecting William Dunn and someone who was born in Ashton-under-Lyne?
Task: Identify how two real-world entities are connected by producing MANY connection paths. A connection path is a sequence of factual triples (head, relationship, tail) forming a continuous chain that begins with... | 471 | {"final_response": "```json\n{\n \"1\": [\n [\n \"William Dunn\",\n \"represented\",\n \"Paisley\"\n ],\n [\n \"Paisley\",\n \"located in\",\n \"Scotland\"\n ],\n [\n \"Scotland\",\n \"represented by\",\n \"Scotland national football team\"\n ],\n [\n ... |
[
"Q166635",
"P39",
"Q14211"
] | [
"Q312577",
"P39",
"Q14211"
] | [
"Q312577",
"P19",
"Q202088"
] | [
"Stanley Baldwin",
"position held",
"Prime Minister of the United Kingdom"
] | [
"Henry Addington, 1st Viscount Sidmouth",
"position held",
"Prime Minister of the United Kingdom"
] | [
"Henry Addington, 1st Viscount Sidmouth",
"place of birth",
"London Borough of Camden"
] | Q14211__P39 | 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 Stanley Baldwin, a former British Prime Minister, and someone who was born in the London Borough of Camden? | Stanley Baldwin | London Borough of Camden | place of birth | Query: What are different ways of connecting Stanley Baldwin, a former British Prime Minister, and someone who was born in the London Borough of Camden?
Task: Identify how two real-world entities are connected by producing MANY connection paths. A connection path is a sequence of factual triples (head, relationship, t... | 472 | {"final_response": "```json\n{\n \"1\": [\n [\n \"Stanley Baldwin\",\n \"educated at\",\n \"Trinity College, Cambridge\"\n ],\n [\n \"Andrew Huxley\",\n \"educated at\",\n \"Trinity College, Cambridge\"\n ],\n [\n \"Andrew Huxley\",\n \"place of birth\",\n \"... |
[
"Q80044",
"P161",
"Q1139717"
] | [
"Q80044",
"P161",
"Q261926"
] | [
"Q261926",
"P19",
"Q985351"
] | [
"Prison Break",
"cast member",
"Cress Williams"
] | [
"Prison Break",
"cast member",
"Muse Watson"
] | [
"Muse Watson",
"place of birth",
"Alexandria"
] | Q80044__P161 | 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 Cress Williams, the American actor, and someone who was born in Alexandria? | Cress Williams | Alexandria | place of birth | Query: What are different ways of connecting Cress Williams, the American actor, and someone who was born in Alexandria?
Task: Identify how two real-world entities are connected by producing MANY connection paths. A connection path is a sequence of factual triples (head, relationship, tail) forming a continuous chain ... | 473 | {"final_response": "```json\n{\n \"1\": [\n [\"Cress Williams\", \"acted in\", \"Fallen\"],\n [\"Denzel Washington\", \"acted in\", \"Fallen\"],\n [\"Denzel Washington\", \"acted in\", \"The Pelican Brief\"],\n [\"Julia Roberts\", \"acted in\", \"The Pelican Brief\"],\n [\"Julia Roberts\", \"acted in\",... |
[
"Q280722",
"P40",
"Q1394"
] | [
"Q470041",
"P40",
"Q1394"
] | [
"Q470041",
"P106",
"Q38126150"
] | [
"Ilya Ulyanov",
"child",
"Vladimir Lenin"
] | [
"Maria Ulyanova",
"child",
"Vladimir Lenin"
] | [
"Maria Ulyanova",
"occupation",
"housewife"
] | Q1394__P40 | 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 Ilya Ulyanov, a notable figure, and someone who is known for being a housewife? | Ilya Ulyanov | housewife | occupation | Query: What are different ways of connecting Ilya Ulyanov, a notable figure, and someone who is known for being a housewife?
Task: Identify how two real-world entities are connected by producing MANY connection paths. A connection path is a sequence of factual triples (head, relationship, tail) forming a continuous ch... | 474 | {"final_response": "<answer>\n{\n \"1\": [\n [\"Ilya Ulyanov\", \"spouse\", \"Maria Alexandrovna Ulyanova\"],\n [\"Maria Alexandrovna Ulyanova\", \"occupation\", \"housewife\"]\n ],\n \"2\": [\n [\"Ilya Ulyanov\", \"child\", \"Vladimir Lenin\"],\n [\"Vladimir Lenin\", \"resting place\", \"Lenin's Mausole... |
[
"Q1003128",
"P162",
"Q676051"
] | [
"Q1003128",
"P162",
"Q851018"
] | [
"Q851018",
"P106",
"Q10800557"
] | [
"Eastern Condors",
"producer",
"Corey Yuen"
] | [
"Eastern Condors",
"producer",
"Wu Ma"
] | [
"Wu Ma",
"occupation",
"film actor"
] | Q1003128__P162 | 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 Corey Yuen, the renowned action choreographer and director, and someone who is a film actor? | Corey Yuen | film actor | occupation | Query: What are different ways of connecting Corey Yuen, the renowned action choreographer and director, and someone who is a film actor?
Task: Identify how two real-world entities are connected by producing MANY connection paths. A connection path is a sequence of factual triples (head, relationship, tail) forming a ... | 475 | {"final_response": "<answer>\n{\n \"1\": [\n [\"Corey Yuen\", \"directed\", \"The Transporter\"],\n [\"The Transporter\", \"cast member\", \"Jason Statham\"],\n [\"Jason Statham\", \"occupation\", \"film actor\"]\n ],\n \"2\": [\n [\"Corey Yuen\", \"directed\", \"Yes, Madam\"],\n [\"Yes, Madam\", \"ca... |
[
"Q47703",
"P58",
"Q182870"
] | [
"Q47703",
"P58",
"Q56094"
] | [
"Q56094",
"P166",
"Q787131"
] | [
"The Godfather",
"screenwriter",
"Mario Puzo"
] | [
"The Godfather",
"screenwriter",
"Francis Ford Coppola"
] | [
"Francis Ford Coppola",
"award received",
"BAFTA Award for Best Direction"
] | Q47703__P58 | 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 Mario Puzo, the author known for his crime novels, and someone who has received the BAFTA Award for Best Direction? | Mario Puzo | BAFTA Award for Best Direction | award received | Query: What are different ways of connecting Mario Puzo, the author known for his crime novels, and someone who has received the BAFTA Award for Best Direction?
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... | 476 | {"final_response": "```json\n<answer>\n{\n \"1\": [\n [\"Mario Puzo\", \"wrote\", \"The Godfather\"],\n [\"Francis Ford Coppola\", \"directed\", \"The Godfather\"],\n [\"Francis Ford Coppola\", \"award received\", \"BAFTA Award for Best Direction\"]\n ],\n \"2\": [\n [\"Mario Puzo\", \"wrote\", \"The God... |
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Dataset: connections-dev/connection_queries_jan12
This dataset was generated using the inference script with the following configuration:
Inference Parameters
Model Configuration
- Model Name:
gemini-3.1-pro-preview - Server URL:
Not specified - API Key:
Not provided - Request Timeout:
120 seconds
Query Configuration
- Query Type:
natural - Query Column:
query - Sampling Type:
original
Generation Parameters
- Temperature:
0.7 - Max Tokens:
16384 - Number of Runs:
1 - Chunk Size:
Entire dataset - Effort Level:
medium
Feature Flags
- Step by Step Reasoning:
False - Reasoning Enabled:
False - No Curator:
False - Index Filter:
None (all samples) - Start Index:
460 - End Index:
480
Data Information
- Input File:
connections-dev/connection_queries_jan12 - Number of Samples:
20 - Output Filename:
connection_queries_jan12__natural__s460__e480__original__1__medium__0.7__16384__gemini-3_1-pro-preview.jsonl
Dataset Structure
The dataset contains the following key columns:
query: The original queryentity_a: Starting entityentity_b: Target entityrel_b: Target relationshippath_prediction: Generated connection pathsprompt_for_path: Prompts used for path generation
Usage
You can load this dataset using:
from datasets import load_dataset
dataset = load_dataset("s460_e480_original_1_medium_0.7_16384_gemini-3_1-pro-preview__raw")
Generation Details
This dataset was generated on 2026-03-12 06:46:28 using the inference pipeline with the above configuration.
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