Triple

T8934012
Position Surface form Disambiguated ID Type / Status
Subject James Debbah E212728 entity
Predicate memberOfSportsTeam P330 FINISHED
Object Ankaragücü E81006 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: Ankaragücü | Statement: [James Debbah, memberOfSportsTeam, Ankaragücü]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Ankaragücü
Context triple: [James Debbah, memberOfSportsTeam, Ankaragücü]
  • A. Kayserispor
    Kayserispor is a professional Turkish football club based in Kayseri that competes in the country’s top leagues.
  • B. MKE Ankaragücü chosen
    MKE Ankaragücü is a professional Turkish sports club best known for its football team, traditionally representing the capital city Ankara in the country’s top leagues.
  • C. Göztepe
    Göztepe is a coastal residential neighborhood in Istanbul, Turkey, known for its parks, seaside promenade, and location on the Asian side of the city.
  • D. Fatih Karagümrük S.K.
    Fatih Karagümrük S.K. is a Turkish professional football club based in Istanbul that competes in the country’s top leagues and has attracted notable international managers and players.
  • E. Konyaspor
    Konyaspor is a professional Turkish football club based in Konya that competes in the country’s top leagues and has a passionate regional fan base.
  • 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_69ca8395c438819087d7cb844ab5990c completed March 30, 2026, 2:07 p.m.
NER Named-entity recognition batch_69cc668fa87c8190bfeda820368b89e4 completed April 1, 2026, 12:27 a.m.
NED1 Entity disambiguation (via context triple) batch_69cfeb2b4f048190a2d387b64975647a completed April 3, 2026, 4:30 p.m.
Created at: March 30, 2026, 6:57 p.m.