Triple

T10617123
Position Surface form Disambiguated ID Type / Status
Subject Atyrau E276148 entity
Predicate hasSportsTeam P330 FINISHED
Object FC Atyrau
FC Atyrau is a professional football club from the city of Atyrau in Kazakhstan that competes in the country’s top leagues.
E876094 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 Atyrau | Statement: [Atyrau, hasSportsTeam, FC Atyrau]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: FC Atyrau
Context triple: [Atyrau, hasSportsTeam, FC Atyrau]
  • A. FC Aktobe
    FC Aktobe is a professional football club from Aktobe, Kazakhstan, known for competing in the Kazakhstan Premier League and winning multiple national titles.
  • B. Shakhter Karagandy football club
    Shakhter Karagandy football club is a professional Kazakhstani football team known for competing in the country’s top division and achieving domestic league success.
  • C. Gabala FK
    Gabala FK is a professional football club from Qabala, Azerbaijan, that competes in the Azerbaijan Premier League.
  • D. FC Kairat
    FC Kairat is a professional football club from Almaty, Kazakhstan, known as one of the country’s most historic and successful teams.
  • E. 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.
  • 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 Atyrau
Triple: [Atyrau, hasSportsTeam, FC Atyrau]
Generated description
FC Atyrau is a professional football club from the city of Atyrau in Kazakhstan that competes in the country’s top leagues.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: FC Atyrau
Target entity description: FC Atyrau is a professional football club from the city of Atyrau in Kazakhstan that competes in the country’s top leagues.
  • A. FC Aktobe
    FC Aktobe is a professional football club from Aktobe, Kazakhstan, known for competing in the Kazakhstan Premier League and winning multiple national titles.
  • B. Shakhter Karagandy football club
    Shakhter Karagandy football club is a professional Kazakhstani football team known for competing in the country’s top division and achieving domestic league success.
  • C. Gabala FK
    Gabala FK is a professional football club from Qabala, Azerbaijan, that competes in the Azerbaijan Premier League.
  • D. FC Kairat
    FC Kairat is a professional football club from Almaty, Kazakhstan, known as one of the country’s most historic and successful teams.
  • E. 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.
  • 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_69d6aaf948d88190806cc3a8c47a3fb2 completed April 8, 2026, 7:22 p.m.
NER Named-entity recognition batch_69d6df6e2df4819099a19b59d90d0dd1 completed April 8, 2026, 11:06 p.m.
NED1 Entity disambiguation (via context triple) batch_69d96b7bb7108190b0f1cbe4117abec0 completed April 10, 2026, 9:28 p.m.
NEDg Description generation batch_69d96dee84f48190bf5b0cb1115a8bba completed April 10, 2026, 9:38 p.m.
NED2 Entity disambiguation (via description) batch_69d9708824208190acf75933962d690f completed April 10, 2026, 9:50 p.m.
Created at: April 8, 2026, 7:33 p.m.