Triple

T2837525
Position Surface form Disambiguated ID Type / Status
Subject Göztepe S.K. E62385 entity
Predicate shortName P43 FINISHED
Object Göztepe E304455 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: Göztepe | Statement: [Göztepe S.K., shortName, Göztepe]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Göztepe
Context triple: [Göztepe S.K., shortName, Göztepe]
  • A. Göztepe chosen
    Göztepe is a coastal residential neighborhood in Istanbul, Turkey, known for its parks, seaside promenade, and location on the Asian side of the city.
  • B. Göztepe S.K.
    Göztepe S.K. is a professional Turkish football club based in İzmir, known for its passionate fan base and historic presence in Turkish football.
  • C. Besiktas JK
    Beşiktaş JK is one of Turkey’s most prominent and historic multi-sport clubs, best known for its successful professional football team.
  • D. Samsunspor
    Samsunspor is a professional Turkish sports club best known for its football team, based in the city of Samsun and competing in the national league system.
  • E. Bursaspor
    Bursaspor is a professional Turkish sports club best known for its football team, which has competed in the country’s top leagues and is based in the city of Bursa.
  • 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_69ab4c3c39188190955b9c49d98463d8 completed March 6, 2026, 9:50 p.m.
NER Named-entity recognition batch_69abdeede0488190a9782f55b57559ee completed March 7, 2026, 8:16 a.m.
NED1 Entity disambiguation (via context triple) batch_69b01d7705108190a986d3def0c08f7b completed March 10, 2026, 1:32 p.m.
Created at: March 6, 2026, 10:01 p.m.