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 10 16 | keep_triple bool 1
class | query_prompt stringlengths 3.24k 3.31k | query stringlengths 106 166 | entity_a stringlengths 3 30 | entity_b stringlengths 5 46 | rel_b stringlengths 5 21 | prompt stringlengths 3.56k 3.68k | index int64 520 539 | raw_responses stringlengths 1.1k 4.64k |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
[
"Q3822815",
"P2175",
"Q12125"
] | [
"Q263958",
"P2175",
"Q12125"
] | [
"Q263958",
"P703",
"Q3055692"
] | [
"zinc gluconate",
"medical condition treated",
"common cold"
] | [
"(+)-pseudoephedrine",
"medical condition treated",
"common cold"
] | [
"(+)-pseudoephedrine",
"found in taxon",
"Ephedra major"
] | Q12125__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 zinc gluconate, a chemical compound, and a substance that is found in the taxon Ephedra major? | zinc gluconate | Ephedra major | found in taxon | Query: What are different ways of connecting zinc gluconate, a chemical compound, and a substance that is found in the taxon Ephedra major?
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 ... | 520 | {"final_response": "<answer>\n{\n \"1\": [\n [\"zinc gluconate\", \"contains element\", \"zinc\"],\n [\"zinc\", \"found in taxon\", \"Ephedra major\"]\n ],\n \"2\": [\n [\"zinc gluconate\", \"treats\", \"common cold\"],\n [\"pseudoephedrine\", \"treats\", \"common cold\"],\n [\"pseudoephedrine\", \"fo... |
[
"Q12971771",
"P40",
"Q1500"
] | [
"Q36170137",
"P40",
"Q1500"
] | [
"Q36170137",
"P19",
"Q75961"
] | [
"Teodora Alonso",
"child",
"José Rizal"
] | [
"Francisco Mercado",
"child",
"José Rizal"
] | [
"Francisco Mercado",
"place of birth",
"Biñan"
] | Q1500__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 Teodora Alonso, a notable figure, and someone who was born in Biñan? | Teodora Alonso | Biñan | place of birth | Query: What are different ways of connecting Teodora Alonso, a notable figure, and someone who was born in Biñan?
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 be... | 521 | {"final_response": "<answer>\n{\n \"1\": [\n [\"Teodora Alonso\", \"spouse\", \"Francisco Mercado\"],\n [\"Francisco Mercado\", \"place of birth\", \"Bi\u00f1an\"]\n ],\n \"2\": [\n [\"Teodora Alonso\", \"father\", \"Lorenzo Alberto Alonso\"],\n [\"Lorenzo Alberto Alonso\", \"place of birth\", \"Bi\u00f1... |
[
"Q7963980",
"P54",
"Q337758"
] | [
"Q941113",
"P54",
"Q337758"
] | [
"Q941113",
"P19",
"Q79212"
] | [
"Walt Harris",
"member of sports team",
"San Francisco 49ers"
] | [
"Wilbur Jackson",
"member of sports team",
"San Francisco 49ers"
] | [
"Wilbur Jackson",
"place of birth",
"Ozark"
] | Q337758__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 Walt Harris, the American mixed martial artist, and someone who was born in Ozark? | Walt Harris | Ozark | place of birth | Query: What are different ways of connecting Walt Harris, the American mixed martial artist, and someone who was born in Ozark?
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... | 522 | {"final_response": "```json\n{\n \"1\": [\n [\"Walt Harris\", \"born in\", \"Birmingham\"],\n [\"Birmingham\", \"located in\", \"Alabama\"],\n [\"University of Alabama\", \"located in\", \"Alabama\"],\n [\"Wilbur Jackson\", \"attended\", \"University of Alabama\"],\n [\"Wilbur Jackson\", \"place of birt... |
[
"Q113687947",
"P57",
"Q10266157"
] | [
"Q9601891",
"P57",
"Q10266157"
] | [
"Q10266157",
"P19",
"Q174"
] | [
"Paulo Aragão",
"director",
"Didi, the Goofy Cupid"
] | [
"Alexandre Boury",
"director",
"Didi, the Goofy Cupid"
] | [
"Didi, the Goofy Cupid",
"place of birth",
"São Paulo"
] | Q10266157__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 Paulo Aragão, a notable figure, and someone who was born in São Paulo? | Paulo Aragão | São Paulo | place of birth | Query: What are different ways of connecting Paulo Aragão, a notable figure, and someone who was born in São Paulo?
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 ... | 523 | {"final_response": "```json\n<answer>\n{\n \"1\": [\n [\n \"Paulo Arag\u00e3o\",\n \"researched works of\",\n \"An\u00edbal Augusto Sardinha\"\n ],\n [\n \"An\u00edbal Augusto Sardinha\",\n \"place of birth\",\n \"S\u00e3o Paulo\"\n ]\n ],\n \"2\": [\n [\n \"Paulo Ar... |
[
"Q3051661",
"P166",
"Q17144"
] | [
"Q724164",
"P166",
"Q17144"
] | [
"Q724164",
"P69",
"Q6237045"
] | [
"Elouise P. Cobell",
"award received",
"Presidential Medal of Freedom"
] | [
"Denton Cooley",
"award received",
"Presidential Medal of Freedom"
] | [
"Denton Cooley",
"educated at",
"Heights High School"
] | Q17144__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 Elouise P. Cobell, a prominent Native American activist, and someone who was educated at Heights High School? | Elouise P. Cobell | Heights High School | educated at | Query: What are different ways of connecting Elouise P. Cobell, a prominent Native American activist, and someone who was educated at Heights High School?
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,... | 524 | {"final_response": "```json\n{\n \"1\": [\n [\"Elouise P. Cobell\", \"awarded by\", \"Barack Obama\"],\n [\"Barack Obama\", \"interviewed by\", \"Dan Rather\"],\n [\"Dan Rather\", \"educated at\", \"Heights High School\"]\n ],\n \"2\": [\n [\"Elouise P. Cobell\", \"awarded by\", \"Barack Obama\"],\n [... |
[
"Q232414",
"P40",
"Q227129"
] | [
"Q180224",
"P40",
"Q227129"
] | [
"Q180224",
"P737",
"Q7542"
] | [
"Lisa Bonet",
"child",
"Zoë Kravitz"
] | [
"Lenny Kravitz",
"child",
"Zoë Kravitz"
] | [
"Lenny Kravitz",
"influenced by",
"Prince"
] | Q227129__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 Lisa Bonet, the American actress, and someone who has influenced Prince? | Lisa Bonet | Prince | influenced by | Query: What are different ways of connecting Lisa Bonet, the American actress, and someone who has influenced Prince?
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 tha... | 525 | {"final_response": "<answer>\n{\n \"1\": [\n [\"Lisa Bonet\", \"spouse of\", \"Lenny Kravitz\"],\n [\"Lenny Kravitz\", \"influenced by\", \"Prince\"]\n ],\n \"2\": [\n [\"Lisa Bonet\", \"mother of\", \"Zo\u00eb Kravitz\"],\n [\"Zo\u00eb Kravitz\", \"influenced by\", \"Prince\"]\n ],\n \"3\": [\n [\"... |
[
"Q65124727",
"P463",
"Q25507"
] | [
"Q683741",
"P463",
"Q25507"
] | [
"Q683741",
"P136",
"Q38848"
] | [
"Frank Friedrich",
"member of",
"Accept"
] | [
"Uwe Lulis",
"member of",
"Accept"
] | [
"Uwe Lulis",
"genre",
"heavy metal"
] | Q25507__P463 | 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 Frank Friedrich, a figure in the music scene, and someone who is associated with the heavy metal genre? | Frank Friedrich | heavy metal | genre | Query: What are different ways of connecting Frank Friedrich, a figure in the music scene, and someone who is associated with the heavy metal genre?
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)... | 526 | {"final_response": "<answer>\n{\n \"1\": [\n [\"Frank Friedrich\", \"member of\", \"Warlock (band)\"],\n [\"Warlock (band)\", \"genre\", \"heavy metal\"]\n ],\n \"2\": [\n [\"Frank Friedrich\", \"performed on\", \"Burning the Witches\"],\n [\"Burning the Witches\", \"genre\", \"heavy metal\"]\n ],\n \"... |
[
"Q100967106",
"P162",
"Q23829651"
] | [
"Q100967106",
"P162",
"Q3852200"
] | [
"Q3852200",
"P69",
"Q3831956"
] | [
"Shadows",
"producer",
"Andrea Paris"
] | [
"Shadows",
"producer",
"Matteo Rovere"
] | [
"Matteo Rovere",
"educated at",
"Liceo Terenzio Mamiani"
] | Q100967106__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 Andrea Paris, and someone who was educated at Liceo Terenzio Mamiani? | Andrea Paris | Liceo Terenzio Mamiani | educated at | Query: What are different ways of connecting Andrea Paris, and someone who was educated at Liceo Terenzio Mamiani?
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 b... | 527 | {"final_response": "```json\n{\n \"1\": [\n [\"Andrea Paris\", \"produced\", \"Smetto quando voglio\"],\n [\"Smetto quando voglio\", \"stars\", \"Edoardo Leo\"],\n [\"Edoardo Leo\", \"co-starred with\", \"Margherita Buy\"],\n [\"Margherita Buy\", \"educated at\", \"Liceo Terenzio Mamiani\"]\n ],\n \"2\":... |
[
"Q270650",
"P39",
"Q62070236"
] | [
"Q722224",
"P39",
"Q62070236"
] | [
"Q722224",
"P101",
"Q11190"
] | [
"Margaret Chan",
"position held",
"Director-General of the World Health Organization"
] | [
"Halfdan T. Mahler",
"position held",
"Director-General of the World Health Organization"
] | [
"Halfdan T. Mahler",
"field of work",
"medicine"
] | 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 Margaret Chan, a prominent figure in global health, and someone who has made significant contributions in the field of medicine? | Margaret Chan | medicine | field of work | Query: What are different ways of connecting Margaret Chan, a prominent figure in global health, and someone who has made significant contributions in the field of medicine?
Task: Identify how two real-world entities are connected by producing MANY connection paths. A connection path is a sequence of factual triples (... | 528 | {"final_response": "<answer>\n{\n \"1\": [\n [\"Margaret Chan\", \"field of work\", \"medicine\"]\n ],\n \"2\": [\n [\"Margaret Chan\", \"director of\", \"World Health Organization\"],\n [\"Lee Jong-wook\", \"director of\", \"World Health Organization\"],\n [\"Lee Jong-wook\", \"field of work\", \"medici... |
[
"Q18029021",
"P2293",
"Q128581"
] | [
"Q18047762",
"P2293",
"Q128581"
] | [
"Q18047762",
"P688",
"Q21149754"
] | [
"MAP3K1",
"genetic association",
"breast cancer"
] | [
"ZNF577",
"genetic association",
"breast cancer"
] | [
"ZNF577",
"encodes",
"Zinc finger protein 577"
] | 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 MAP3K1, a gene involved in various cellular processes, and a substance that encodes the Zinc finger protein 577? | MAP3K1 | Zinc finger protein 577 | encodes | Query: What are different ways of connecting MAP3K1, a gene involved in various cellular processes, and a substance that encodes the Zinc finger protein 577?
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... | 529 | {"final_response": "<answer>\n{\n \"1\": [\n [\"MAP3K1\", \"found in taxon\", \"Homo sapiens\"],\n [\"ZNF577\", \"found in taxon\", \"Homo sapiens\"],\n [\"ZNF577\", \"encodes\", \"Zinc finger protein 577\"]\n ],\n \"2\": [\n [\"MAP3K1\", \"interacts with\", \"UBC\"],\n [\"ZNF577\", \"interacts with\"... |
[
"Q15648198",
"P162",
"Q314502"
] | [
"Q15648198",
"P162",
"Q15429514"
] | [
"Q15429514",
"P1411",
"Q488651"
] | [
"Whiplash",
"producer",
"Jason Reitman"
] | [
"Whiplash",
"producer",
"Nicholas Britell"
] | [
"Nicholas Britell",
"nominated for",
"Academy Award for Best Original Score"
] | Q15648198__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 Jason Reitman, the filmmaker, and someone who was nominated for the Academy Award for Best Original Score? | Jason Reitman | Academy Award for Best Original Score | nominated for | Query: What are different ways of connecting Jason Reitman, the filmmaker, and someone who was nominated for the Academy Award for Best Original Score?
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, ta... | 530 | {"final_response": "<answer>\n{\n \"1\": [\n [\"Jason Reitman\", \"directed\", \"Saturday Night\"],\n [\"Saturday Night\", \"scored by\", \"Jon Batiste\"],\n [\"Jon Batiste\", \"nominated for\", \"Academy Award for Best Original Score\"]\n ],\n \"2\": [\n [\"Jason Reitman\", \"directed\", \"Up in the Air... |
[
"Q14912501",
"P2293",
"Q62736"
] | [
"Q18035408",
"P2293",
"Q62736"
] | [
"Q18035408",
"P5572",
"Q180569"
] | [
"FTO",
"genetic association",
"osteoarthritis"
] | [
"COG5",
"genetic association",
"osteoarthritis"
] | [
"COG5",
"expressed in",
"tonsil"
] | Q62736__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 FTO, a gene associated with obesity, and a substance that is expressed in the tonsil? | FTO | tonsil | expressed in | Query: What are different ways of connecting FTO, a gene associated with obesity, and a substance that is expressed in the tonsil?
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 continu... | 531 | {"final_response": "<answer>\n{\n \"1\": [\n [\"FTO\", \"expressed in\", \"tonsil\"]\n ],\n \"2\": [\n [\"FTO\", \"interacts with\", \"MYC\"],\n [\"MYC\", \"expressed in\", \"tonsil\"]\n ],\n \"3\": [\n [\"FTO\", \"interacts with\", \"TP53\"],\n [\"TP53\", \"expressed in\", \"tonsil\"]\n ],\n \"4\... |
[
"Q132689",
"P161",
"Q95486"
] | [
"Q132689",
"P161",
"Q70692"
] | [
"Q70692",
"P106",
"Q2526255"
] | [
"Casablanca",
"cast member",
"Trude Berliner"
] | [
"Casablanca",
"cast member",
"Paul Panzer"
] | [
"Paul Panzer",
"occupation",
"film director"
] | Q132689__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 Trude Berliner, a notable figure in the film industry, and someone who is known for their work as a film director? | Trude Berliner | film director | occupation | Query: What are different ways of connecting Trude Berliner, a notable figure in the film industry, and someone who is known for their work as a film director?
Task: Identify how two real-world entities are connected by producing MANY connection paths. A connection path is a sequence of factual triples (head, relation... | 532 | {"final_response": "<answer>\n{\n \"1\": [\n [\"Trude Berliner\", \"cast member\", \"The Tiger of Berlin\"],\n [\"The Tiger of Berlin\", \"directed by\", \"Johannes Meyer\"],\n [\"Johannes Meyer\", \"occupation\", \"film director\"]\n ],\n \"2\": [\n [\"Trude Berliner\", \"cast member\", \"The Pride of C... |
[
"Q157259",
"P39",
"Q14211"
] | [
"Q264766",
"P39",
"Q14211"
] | [
"Q264766",
"P3602",
"Q30173038"
] | [
"John Russell, 1st Earl Russell",
"position held",
"Prime Minister of the United Kingdom"
] | [
"Theresa May",
"position held",
"Prime Minister of the United Kingdom"
] | [
"Theresa May",
"candidacy in election",
"2019 United Kingdom general election"
] | 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 John Russell, 1st Earl Russell, and someone who was a candidate in the 2019 United Kingdom general election? | John Russell, 1st Earl Russell | 2019 United Kingdom general election | candidacy in election | Query: What are different ways of connecting John Russell, 1st Earl Russell, and someone who was a candidate in the 2019 United Kingdom general election?
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, ... | 533 | {"final_response": "<answer>\n{\n \"1\": [\n [\n \"John Russell, 1st Earl Russell\",\n \"held position\",\n \"Prime Minister of the United Kingdom\"\n ],\n [\n \"Boris Johnson\",\n \"held position\",\n \"Prime Minister of the United Kingdom\"\n ],\n [\n \"Boris Johnson... |
[
"Q186215",
"P166",
"Q17144"
] | [
"Q184697",
"P166",
"Q17144"
] | [
"Q184697",
"P1303",
"Q133163"
] | [
"Jim Jordan",
"award received",
"Presidential Medal of Freedom"
] | [
"Gloria Estefan",
"award received",
"Presidential Medal of Freedom"
] | [
"Gloria Estefan",
"instrument",
"percussion instrument"
] | Q17144__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 Jim Jordan, a prominent political figure, and someone who is known for playing a percussion instrument? | Jim Jordan | percussion instrument | instrument | Query: What are different ways of connecting Jim Jordan, a prominent political figure, and someone who is known for playing a percussion instrument?
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)... | 534 | {"final_response": "```json\n{\n \"1\": [\n [\"Jim Jordan\", \"awarded\", \"Presidential Medal of Freedom\"],\n [\"Presidential Medal of Freedom\", \"awarded to\", \"Lionel Hampton\"],\n [\"Lionel Hampton\", \"instrument\", \"percussion instrument\"]\n ],\n \"2\": [\n [\"Jim Jordan\", \"awarded\", \"Pres... |
[
"Q61698499",
"P57",
"Q100869555"
] | [
"Q62566741",
"P57",
"Q100869555"
] | [
"Q100869555",
"P69",
"Q1138556"
] | [
"Valérie Urrea",
"director",
"Pornotropic"
] | [
"Nathalie Masduraud",
"director",
"Pornotropic"
] | [
"Pornotropic",
"educated at",
"La Fémis"
] | Q100869555__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 Valérie Urrea, a notable figure in the film industry, and an organization that has educated someone at La Fémis? | Valérie Urrea | La Fémis | educated at | Query: What are different ways of connecting Valérie Urrea, a notable figure in the film industry, and an organization that has educated someone at La Fémis?
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... | 535 | {"final_response": "<answer>\n{\n \"1\": [\n [\"Val\u00e9rie Urrea\", \"employed by\", \"ARTE\"],\n [\"ARTE\", \"co-produced film by\", \"Fran\u00e7ois Ozon\"],\n [\"Fran\u00e7ois Ozon\", \"educated at\", \"La F\u00e9mis\"]\n ],\n \"2\": [\n [\"Val\u00e9rie Urrea\", \"directed\", \"Ousmane Sembene tout \... |
[
"Q92609",
"P166",
"Q185667"
] | [
"Q92641",
"P166",
"Q185667"
] | [
"Q92641",
"P19",
"Q60"
] | [
"Fred Brooks",
"award received",
"Turing Award"
] | [
"Robert W. Floyd",
"award received",
"Turing Award"
] | [
"Robert W. Floyd",
"place of birth",
"New York City"
] | Q185667__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 Fred Brooks, a prominent computer scientist, and someone who was born in New York City? | Fred Brooks | New York City | place of birth | Query: What are different ways of connecting Fred Brooks, a prominent computer scientist, and someone who was born in New York City?
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 conti... | 536 | {"final_response": "```json\n{\n \"1\": [\n [\n \"Fred Brooks\",\n \"won award\",\n \"Turing Award\"\n ],\n [\n \"Marvin Minsky\",\n \"won award\",\n \"Turing Award\"\n ],\n [\n \"Marvin Minsky\",\n \"place of birth\",\n \"New York City\"\n ]\n ],\n \"2\... |
[
"Q88463514",
"P54",
"Q171337"
] | [
"Q78499",
"P54",
"Q171337"
] | [
"Q78499",
"P1344",
"Q23681630"
] | [
"Franco Colapinto",
"member of sports team",
"Williams Racing"
] | [
"Alexander Wurz",
"member of sports team",
"Williams Racing"
] | [
"Alexander Wurz",
"participant in",
"2014 FIA World Endurance Drivers' Championship"
] | Q171337__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 Franco Colapinto, a racing driver, and someone who participated in the 2014 FIA World Endurance Drivers' Championship? | Franco Colapinto | 2014 FIA World Endurance Drivers' Championship | participant in | Query: What are different ways of connecting Franco Colapinto, a racing driver, and someone who participated in the 2014 FIA World Endurance Drivers' Championship?
Task: Identify how two real-world entities are connected by producing MANY connection paths. A connection path is a sequence of factual triples (head, rela... | 537 | {"final_response": "```json\n{\n \"1\": [\n [\n \"Franco Colapinto\",\n \"drove for\",\n \"Williams Racing\"\n ],\n [\n \"Williams Racing\",\n \"employed\",\n \"Mark Webber\"\n ],\n [\n \"Mark Webber\",\n \"participant in\",\n \"2014 FIA World Endurance Drive... |
End of preview. Expand in Data Studio
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:
520 - End Index:
540
Data Information
- Input File:
connections-dev/connection_queries_jan12 - Number of Samples:
20 - Output Filename:
connection_queries_jan12__natural__s520__e540__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("s520_e540_original_1_medium_0.7_16384_gemini-3_1-pro-preview__raw")
Generation Details
This dataset was generated on 2026-03-12 07:35:28 using the inference pipeline with the above configuration.
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