Triple

T8197102
Position Surface form Disambiguated ID Type / Status
Subject Bülent Korkmaz E191459 entity
Predicate managedTeam P3234 FINISHED
Object Kayserispor E552950 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: Kayserispor | Statement: [Bülent Korkmaz, managedTeam, Kayserispor]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Kayserispor
Context triple: [Bülent Korkmaz, managedTeam, Kayserispor]
  • A. Kayserispor chosen
    Kayserispor is a professional Turkish football club based in Kayseri that competes in the country’s top leagues.
  • B. 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.
  • C. Kocaelispor
    Kocaelispor is a Turkish professional football club based in İzmit, known for its passionate fan base and regional rivalries in the Marmara region.
  • D. 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.
  • 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 (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_69ca82c6e9548190a4c5ca14516e4417 completed March 30, 2026, 2:03 p.m.
NER Named-entity recognition batch_69cb5c2341f881908be59c378896e5bc completed March 31, 2026, 5:31 a.m.
NED1 Entity disambiguation (via context triple) batch_69cf421875f88190a005c3ffba04dffe completed April 3, 2026, 4:29 a.m.
Created at: March 30, 2026, 5:42 p.m.