Triple

T12525511
Position Surface form Disambiguated ID Type / Status
Subject Central Stadium Aktobe E299427 entity
Predicate hasTenant P3277 FINISHED
Object FC Aktobe E299426 NE FINISHED

How this triple was built (2 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 Aktobe | Statement: [Central Stadium Aktobe, hasTenant, FC Aktobe]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: FC Aktobe
Context triple: [Central Stadium Aktobe, hasTenant, FC Aktobe]
  • A. FC Aktobe chosen
    FC Aktobe is a professional football club from Aktobe, Kazakhstan, known for competing in the Kazakhstan Premier League and winning multiple national titles.
  • B. FC Atyrau
    FC Atyrau is a professional football club from the city of Atyrau in Kazakhstan that competes in the country’s top leagues.
  • C. 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.
  • D. FC Tobol
    FC Tobol is a professional football club from Kostanay, Kazakhstan, known as one of the country's leading teams and a prominent competitor in the Kazakhstan Premier League.
  • E. FC Kairat
    FC Kairat is a professional football club from Almaty, Kazakhstan, known as one of the country’s most historic and successful teams.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (3 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_69d6ada5cdd48190860d9ce30aff69be completed April 8, 2026, 7:33 p.m.
NER Named-entity recognition batch_69d9545d7e6c819080c3a85c18caa1ae completed April 10, 2026, 7:49 p.m.
NED1 Entity disambiguation (via context triple) batch_69f655762ae88190ab41e23bbd65c566 completed May 2, 2026, 7:50 p.m.
Created at: April 8, 2026, 9:57 p.m.