Triple

T2274862
Position Surface form Disambiguated ID Type / Status
Subject Almaty E50745 entity
Predicate hasSportsClub P346 FINISHED
Object FC Kairat
FC Kairat is a professional football club from Almaty, Kazakhstan, known as one of the country’s most historic and successful teams.
E251363 NE FINISHED

How this triple was built (4 steps)

Every LLM step that produced this triple, in pipeline order — named-entity classification, the disambiguation choices (the exact options shown, with the pick highlighted), and the generated description. The batch + timestamp of each is in the Provenance table below.

NER Named-entity recognition gpt-5-mini
Instruction
Given a phrase, classify it is english named entity (e.g., persons, organizations, works of art) in Latin script, or not (e.g., literals, dates, URLs, verbose phrases). For disambiguation, the statement where the phrase occurs as object is also given. Please return a JSON object with `phrase` (string, the phrase being analyzed) and `is_ne` (boolean, indicating whether the phrase is a Named Entity).
Input
Phrase: FC Kairat | Statement: [Almaty, hasSportsClub, FC Kairat]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: FC Kairat
Context triple: [Almaty, hasSportsClub, FC Kairat]
  • A. FC Astana
    FC Astana is a professional football club from Kazakhstan that competes in the country’s top division and regularly features in European competitions.
  • B. Barys Astana
    Barys Astana is a professional ice hockey team from Astana, Kazakhstan that competes in the Kontinental Hockey League (KHL).
  • C. FC Rubin Kazan
    FC Rubin Kazan is a professional Russian football club based in Kazan that has competed in the Russian Premier League and won multiple national titles.
  • D. Altay S.K.
    Altay S.K. is a historic Turkish professional football club based in İzmir, known as one of the country's oldest and most traditional teams.
  • E. Gaziantep FK
    Gaziantep FK is a professional Turkish football club based in the city of Gaziantep that competes in the country’s top leagues.
  • F. None of above. chosen
  • G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg Description generation gpt-5.1
Instruction
Generate a one-sentence description of the target entity. 
You are given a context triple in the form (subject, predicate, object), where the object is the target entity. 
# Instructions
Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. 
Avoid repeating the information from the triple, unless really essential.
# Response Format
Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: FC Kairat
Triple: [Almaty, hasSportsClub, FC Kairat]
Generated description
FC Kairat is a professional football club from Almaty, Kazakhstan, known as one of the country’s most historic and successful teams.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: FC Kairat
Target entity description: FC Kairat is a professional football club from Almaty, Kazakhstan, known as one of the country’s most historic and successful teams.
  • A. FC Astana
    FC Astana is a professional football club from Kazakhstan that competes in the country’s top division and regularly features in European competitions.
  • B. Barys Astana
    Barys Astana is a professional ice hockey team from Astana, Kazakhstan that competes in the Kontinental Hockey League (KHL).
  • C. FC Rubin Kazan
    FC Rubin Kazan is a professional Russian football club based in Kazan that has competed in the Russian Premier League and won multiple national titles.
  • D. Altay S.K.
    Altay S.K. is a historic Turkish professional football club based in İzmir, known as one of the country's oldest and most traditional teams.
  • E. Gaziantep FK
    Gaziantep FK is a professional Turkish football club based in the city of Gaziantep that competes in the country’s top leagues.
  • F. None of above. chosen

Provenance (5 batches)

The batch behind each pipeline step, in order, with when it ran. Timestamps are batch-level — stages were processed in waves, so the object chain (NER → NED1 → NEDg → NED2) reads in order, but predicate / elicitation batches can sit in a different wave.

Step Stage Batch ID Status When
creating Elicitation batch_69a88b05910c8190a9a2b1ff230c85f9 completed March 4, 2026, 7:41 p.m.
NER Named-entity recognition batch_69abc1ebaa148190851952567878b3a1 completed March 7, 2026, 6:12 a.m.
NED1 Entity disambiguation (via context triple) batch_69ae71e01860819082bca15c146b9c64 completed March 9, 2026, 7:08 a.m.
NEDg Description generation batch_69ae727388f48190bbb516e1cc907689 completed March 9, 2026, 7:10 a.m.
NED2 Entity disambiguation (via description) batch_69ae733c44008190ac1429da66cf77aa completed March 9, 2026, 7:14 a.m.
Created at: March 4, 2026, 7:48 p.m.