Triple

T7076625
Position Surface form Disambiguated ID Type / Status
Subject Gheorghe Hagi E164835 entity
Predicate managed P3234 FINISHED
Object Bursaspor E86231 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: Bursaspor | Statement: [Gheorghe Hagi, managed, Bursaspor]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Bursaspor
Context triple: [Gheorghe Hagi, managed, Bursaspor]
  • A. Bursaspor chosen
    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.
  • 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. Kocaelispor
    Kocaelispor is a Turkish professional football club based in İzmit, known for its passionate fan base and regional rivalries in the Marmara region.
  • E. Antalyaspor
    Antalyaspor is a professional Turkish football club based in Antalya that competes in the country’s top-tier league, the Süper Lig.
  • 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_69c6887cbc6c8190bdfac42d940f4d8a completed March 27, 2026, 1:39 p.m.
NER Named-entity recognition batch_69c6e4ebf4048190bf5d7156817f93a7 completed March 27, 2026, 8:13 p.m.
NED1 Entity disambiguation (via context triple) batch_69c7946dbf048190a6307fefeb1dd6a9 completed March 28, 2026, 8:42 a.m.
Created at: March 27, 2026, 2:40 p.m.