Triple

T22679855
Position Surface form Disambiguated ID Type / Status
Subject Burak Yılmaz E560447 entity
Predicate isProlificScorerFor P108718 FINISHED
Object Trabzonspor NE NERFINISHED

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: Trabzonspor | Statement: [Burak Yılmaz, isProlificScorerFor, Trabzonspor]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Trabzonspor
Context triple: [Burak Yılmaz, isProlificScorerFor, Trabzonspor]
  • A. Trabzonspor football club chosen
    Trabzonspor football club is a prominent Turkish professional football team based in Trabzon, renowned for breaking the dominance of Istanbul clubs in the Süper Lig and boasting a passionate regional fan base.
  • B. Kayserispor
    Kayserispor is a professional Turkish football club based in Kayseri that competes in the country’s top leagues.
  • C. Alanyaspor
    Alanyaspor is a professional Turkish football club based in Alanya that competes in the country’s top leagues and is known for its regional rivalry with Antalyaspor.
  • D. İstanbulspor
    İstanbulspor is a Turkish professional football club based in Istanbul that competes in the country's football league system.
  • E. 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.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (2 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_69e2454bfd00819099115715a22cb057 completed April 17, 2026, 2:35 p.m.
NER Named-entity recognition batch_69f1785f68b4819082c5570f741f5135 completed April 29, 2026, 3:17 a.m.
Created at: April 17, 2026, 3:11 p.m.