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 17 | keep_triple bool 1
class | query_prompt stringlengths 3.26k 3.33k | query stringlengths 105 170 | entity_a stringlengths 4 37 | entity_b stringlengths 5 66 | rel_b stringclasses 10
values | prompt stringlengths 3.58k 3.68k | index int64 700 719 | raw_responses stringclasses 1
value |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
[
"Q417767",
"P2175",
"Q35869"
] | [
"Q3633651",
"P2175",
"Q35869"
] | [
"Q3633651",
"P129",
"Q22679015"
] | [
"montelukast",
"medical condition treated",
"asthma"
] | [
"bambuterol",
"medical condition treated",
"asthma"
] | [
"bambuterol",
"physically interacts with",
"butyrylcholinesterase"
] | Q35869__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 montelukast, a medication used to manage asthma, and a substance that physically interacts with butyrylcholinesterase? | montelukast | butyrylcholinesterase | physically interacts with | Query: What are different ways of connecting montelukast, a medication used to manage asthma, and a substance that physically interacts with butyrylcholinesterase?
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... | 700 | {} |
[
"Q10272473",
"P57",
"Q7312520"
] | [
"Q10272473",
"P57",
"Q10366823"
] | [
"Q10366823",
"P106",
"Q488111"
] | [
"Emoções Sexuais de um Cavalo",
"director",
"Renalto Alves"
] | [
"Emoções Sexuais de um Cavalo",
"director",
"Sady Baby"
] | [
"Sady Baby",
"occupation",
"pornographic actor"
] | Q10272473__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 "Emoções Sexuais de um Cavalo" and someone who is known for their work in the adult film industry? | Emoções Sexuais de um Cavalo | pornographic actor | occupation | Query: What are different ways of connecting "Emoções Sexuais de um Cavalo" and someone who is known for their work in the adult film 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, relationship, tail) form... | 701 | {} |
[
"Q7684084",
"P54",
"Q213417"
] | [
"Q7851054",
"P54",
"Q213417"
] | [
"Q7851054",
"P69",
"Q1138384"
] | [
"Tanyon Sturtze",
"member of sports team",
"New York Yankees"
] | [
"Tucker Ashford",
"member of sports team",
"New York Yankees"
] | [
"Tucker Ashford",
"educated at",
"University of Mississippi"
] | Q213417__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 Tanyon Sturtze, the former professional baseball pitcher, and someone who was educated at the University of Mississippi? | Tanyon Sturtze | University of Mississippi | educated at | Query: What are different ways of connecting Tanyon Sturtze, the former professional baseball pitcher, and someone who was educated at the University of Mississippi?
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... | 702 | {} |
[
"Q1076942",
"P54",
"Q128109"
] | [
"Q2331852",
"P54",
"Q128109"
] | [
"Q2331852",
"P27",
"Q30"
] | [
"Chris Anstey",
"member of sports team",
"Chicago Bulls"
] | [
"Bob Hansen",
"member of sports team",
"Chicago Bulls"
] | [
"Bob Hansen",
"country of citizenship",
"United States of America"
] | Q128109__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 Chris Anstey, the Australian basketball player, and someone who is a citizen of the United States of America? | Chris Anstey | United States of America | country of citizenship | Query: What are different ways of connecting Chris Anstey, the Australian basketball player, and someone who is a citizen of the United States of America?
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,... | 703 | {} |
[
"Q309788",
"P40",
"Q2315802"
] | [
"Q176455",
"P40",
"Q2315802"
] | [
"Q176455",
"P166",
"Q1967719"
] | [
"Don Johnson",
"child",
"Dakota Johnson"
] | [
"Melanie Griffith",
"child",
"Dakota Johnson"
] | [
"Melanie Griffith",
"award received",
"National Society of Film Critics Award for Best Supporting Actress"
] | Q2315802__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 Don Johnson, the American actor, and someone who received the National Society of Film Critics Award for Best Supporting Actress? | Don Johnson | National Society of Film Critics Award for Best Supporting Actress | award received | Query: What are different ways of connecting Don Johnson, the American actor, and someone who received the National Society of Film Critics Award for Best Supporting Actress?
Task: Identify how two real-world entities are connected by producing MANY connection paths. A connection path is a sequence of factual triples ... | 704 | {} |
[
"Q1359151",
"P39",
"Q484876"
] | [
"Q380570",
"P39",
"Q484876"
] | [
"Q380570",
"P69",
"Q7690279"
] | [
"Lloyd Blankfein",
"position held",
"chief executive officer"
] | [
"Jon Corzine",
"position held",
"chief executive officer"
] | [
"Jon Corzine",
"educated at",
"Taylorville High School"
] | goldman_ceos__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 Lloyd Blankfein, the former CEO of Goldman Sachs, and someone who was educated at Taylorville High School? | Lloyd Blankfein | Taylorville High School | educated at | Query: What are different ways of connecting Lloyd Blankfein, the former CEO of Goldman Sachs, and someone who was educated at Taylorville 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, ta... | 705 | {} |
[
"Q5383",
"P166",
"Q935843"
] | [
"Q217787",
"P166",
"Q935843"
] | [
"Q217787",
"P69",
"Q1760438"
] | [
"David Bowie",
"award received",
"Grammy Lifetime Achievement Award"
] | [
"Carole King",
"award received",
"Grammy Lifetime Achievement Award"
] | [
"Carole King",
"educated at",
"Queens College"
] | 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 David Bowie, the iconic musician, and someone who was educated at Queens College? | David Bowie | Queens College | educated at | Query: What are different ways of connecting David Bowie, the iconic musician, and someone who was educated at Queens College?
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 ... | 706 | {} |
[
"Q2875",
"P161",
"Q4280517"
] | [
"Q2875",
"P161",
"Q95068"
] | [
"Q95068",
"P1038",
"Q21664350"
] | [
"Gone with the Wind",
"cast member",
"Margaret Mann"
] | [
"Gone with the Wind",
"cast member",
"Olivia de Havilland"
] | [
"Olivia de Havilland",
"relative",
"Hereward de Havilland"
] | Q2875__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 Margaret Mann and someone who is a relative of Olivia de Havilland? | Margaret Mann | Hereward de Havilland | relative | Query: What are different ways of connecting Margaret Mann and someone who is a relative of Olivia de Havilland?
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 beg... | 707 | {} |
[
"Q18041957",
"P2293",
"Q11081"
] | [
"Q2745322",
"P2293",
"Q11081"
] | [
"Q2745322",
"P5572",
"Q66590413"
] | [
"LIMS2",
"genetic association",
"Alzheimer's disease"
] | [
"STK11",
"genetic association",
"Alzheimer's disease"
] | [
"STK11",
"expressed in",
"right hemisphere of cerebellum"
] | Q11081__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 LIMS2, a gene involved in various biological processes, and a substance that is expressed in the right hemisphere of the cerebellum? | LIMS2 | right hemisphere of cerebellum | expressed in | Query: What are different ways of connecting LIMS2, a gene involved in various biological processes, and a substance that is expressed in the right hemisphere of the cerebellum?
Task: Identify how two real-world entities are connected by producing MANY connection paths. A connection path is a sequence of factual tripl... | 708 | {} |
[
"Q10397511",
"P58",
"Q12059269"
] | [
"Q10397511",
"P58",
"Q12022908"
] | [
"Q12022908",
"P166",
"Q104708102"
] | [
"Whisper",
"screenwriter",
"Tomáš Mašín"
] | [
"Whisper",
"screenwriter",
"Jan Novák"
] | [
"Jan Novák",
"award received",
"\"Magnesia Litera\" award for the best book of the year"
] | Q10397511__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 Tomáš Mašín, a notable figure in literature, and someone who has received the "Magnesia Litera" award for the best book of the year? | Tomáš Mašín | "Magnesia Litera" award for the best book of the year | award received | Query: What are different ways of connecting Tomáš Mašín, a notable figure in literature, and someone who has received the "Magnesia Litera" award for the best book of the year?
Task: Identify how two real-world entities are connected by producing MANY connection paths. A connection path is a sequence of factual tripl... | 709 | {} |
[
"Q19591937",
"P40",
"Q1267"
] | [
"Q53300",
"P40",
"Q1267"
] | [
"Q53300",
"P166",
"Q38040410"
] | [
"Agnes Maria Carolina Almquist",
"child",
"Dag Hammarskjöld"
] | [
"Hjalmar Hammarskjöld",
"child",
"Dag Hammarskjöld"
] | [
"Hjalmar Hammarskjöld",
"award received",
"honorary doctor of the University of Uppsala"
] | Q1267__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 Agnes Maria Carolina Almquist and someone who has received an honorary doctorate from the University of Uppsala? | Agnes Maria Carolina Almquist | honorary doctor of the University of Uppsala | award received | Query: What are different ways of connecting Agnes Maria Carolina Almquist and someone who has received an honorary doctorate from the University of Uppsala?
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... | 710 | {} |
[
"Q531814",
"P54",
"Q8682"
] | [
"Q367934",
"P54",
"Q8682"
] | [
"Q367934",
"P413",
"Q336286"
] | [
"Kaká",
"member of sports team",
"Real Madrid CF"
] | [
"José María Antón",
"member of sports team",
"Real Madrid CF"
] | [
"José María Antón",
"position played on team / speciality",
"defender"
] | 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 Kaká, the Brazilian footballer, and someone who played as a defender on a team? | Kaká | defender | position played on team / speciality | Query: What are different ways of connecting Kaká, the Brazilian footballer, and someone who played as a defender on a team?
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... | 711 | {} |
[
"Q63439",
"P463",
"Q11898"
] | [
"Q316528",
"P463",
"Q11898"
] | [
"Q316528",
"P106",
"Q36834"
] | [
"Alexander Hacke",
"member of",
"Einstürzende Neubauten"
] | [
"Blixa Bargeld",
"member of",
"Einstürzende Neubauten"
] | [
"Blixa Bargeld",
"occupation",
"composer"
] | Q11898__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 Alexander Hacke, a musician, and someone who is known for their work as a composer? | Alexander Hacke | composer | occupation | Query: What are different ways of connecting Alexander Hacke, a musician, and someone who is known for their work as a composer?
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 continuou... | 712 | {} |
[
"Q335038",
"P166",
"Q17144"
] | [
"Q6086016",
"P166",
"Q17144"
] | [
"Q6086016",
"P19",
"Q864024"
] | [
"Peter Carington, 6th Baron Carrington",
"award received",
"Presidential Medal of Freedom"
] | [
"Isolina Ferréro",
"award received",
"Presidential Medal of Freedom"
] | [
"Isolina Ferréro",
"place of birth",
"Ponce"
] | 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 Peter Carington, 6th Baron Carrington, and someone who was born in Ponce? | Peter Carington, 6th Baron Carrington | Ponce | place of birth | Query: What are different ways of connecting Peter Carington, 6th Baron Carrington, and someone who was born in Ponce?
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 th... | 713 | {} |
[
"Q107315171",
"P40",
"Q1716"
] | [
"Q3351401",
"P40",
"Q1716"
] | [
"Q3351401",
"P106",
"Q4853732"
] | [
"Solange Mériaux/Séchan",
"child",
"Renaud"
] | [
"Olivier Séchan",
"child",
"Renaud"
] | [
"Olivier Séchan",
"occupation",
"children's writer"
] | Q1716__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 Solange Mériaux/Séchan, and someone who is known for being a children's writer? | Solange Mériaux/Séchan | children's writer | occupation | Query: What are different ways of connecting Solange Mériaux/Séchan, and someone who is known for being a children's writer?
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... | 714 | {} |
[
"Q101091774",
"P162",
"Q28492396"
] | [
"Q101091774",
"P162",
"Q7482626"
] | [
"Q7482626",
"P19",
"Q1088792"
] | [
"The Man from Toronto",
"producer",
"Todd Black"
] | [
"The Man from Toronto",
"producer",
"Steve Tisch"
] | [
"Steve Tisch",
"place of birth",
"Lakewood Township"
] | Q101091774__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 Todd Black, a notable figure in the film industry, and someone who was born in Lakewood Township? | Todd Black | Lakewood Township | place of birth | Query: What are different ways of connecting Todd Black, a notable figure in the film industry, and someone who was born in Lakewood Township?
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) formi... | 715 | {} |
[
"Q770696",
"P54",
"Q131364"
] | [
"Q18685899",
"P54",
"Q131364"
] | [
"Q18685899",
"P69",
"Q17066323"
] | [
"Cazzie Russell",
"member of sports team",
"New York Knicks"
] | [
"Henry Ellenson",
"member of sports team",
"New York Knicks"
] | [
"Henry Ellenson",
"educated at",
"Rice Lake High School"
] | Q131364__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 Cazzie Russell, the former basketball player, and someone who was educated at Rice Lake High School? | Cazzie Russell | Rice Lake High School | educated at | Query: What are different ways of connecting Cazzie Russell, the former basketball player, and someone who was educated at Rice Lake 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, tail) fo... | 716 | {} |
[
"Q10648",
"P39",
"Q14211"
] | [
"Q180589",
"P39",
"Q14211"
] | [
"Q180589",
"P793",
"Q87910176"
] | [
"Gordon Brown",
"position held",
"Prime Minister of the United Kingdom"
] | [
"Boris Johnson",
"position held",
"Prime Minister of the United Kingdom"
] | [
"Boris Johnson",
"significant event",
"COVID-19 pandemic in London"
] | 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 Gordon Brown, the former Prime Minister of the UK, and someone for whom the COVID-19 pandemic in London was a significant event? | Gordon Brown | COVID-19 pandemic in London | significant event | Query: What are different ways of connecting Gordon Brown, the former Prime Minister of the UK, and someone for whom the COVID-19 pandemic in London was a significant event?
Task: Identify how two real-world entities are connected by producing MANY connection paths. A connection path is a sequence of factual triples (... | 717 | {} |
[
"Q10357227",
"P58",
"Q16336701"
] | [
"Q10357227",
"P58",
"Q9061186"
] | [
"Q9061186",
"P166",
"Q10341322"
] | [
"Rainha Diaba",
"screenwriter",
"Antonio Carlos da Fontoura"
] | [
"Rainha Diaba",
"screenwriter",
"Plínio Marcos"
] | [
"Plínio Marcos",
"award received",
"Ordem do Mérito Cultural"
] | Q10357227__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 Antonio Carlos da Fontoura, a notable figure in Brazilian culture, and someone who has received the Ordem do Mérito Cultural award? | Antonio Carlos da Fontoura | Ordem do Mérito Cultural | award received | Query: What are different ways of connecting Antonio Carlos da Fontoura, a notable figure in Brazilian culture, and someone who has received the Ordem do Mérito Cultural award?
Task: Identify how two real-world entities are connected by producing MANY connection paths. A connection path is a sequence of factual triple... | 718 | {} |
[
"Q18015408",
"P54",
"Q7156"
] | [
"Q18059624",
"P54",
"Q7156"
] | [
"Q18059624",
"P27",
"Q29"
] | [
"Jorge Hernández González",
"member of sports team",
"FC Barcelona"
] | [
"Gustavo Green",
"member of sports team",
"FC Barcelona"
] | [
"Gustavo Green",
"country of citizenship",
"Spain"
] | Q7156__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 Jorge Hernández González and someone who holds citizenship in Spain? | Jorge Hernández González | Spain | country of citizenship | Query: What are different ways of connecting Jorge Hernández González and someone who holds citizenship in Spain?
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... | 719 | {} |
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-pro-preview - Server URL:
Not specified - API Key:
Not provided - Request Timeout:
30 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:
high
Feature Flags
- Step by Step Reasoning:
False - Reasoning Enabled:
False - No Curator:
False - Index Filter:
None (all samples) - Start Index:
700 - End Index:
720
Data Information
- Input File:
connections-dev/connection_queries_jan12 - Number of Samples:
20 - Output Filename:
connection_queries_jan12__natural__s700__e720__original__1__high__0.7__16384__gemini-3-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("s700_e720_original_1_high_0.7_16384_gemini-3-pro-preview__raw")
Generation Details
This dataset was generated on 2026-01-26 14:46:40 using the inference pipeline with the above configuration.
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