Triple

T4061927
Position Surface form Disambiguated ID Type / Status
Subject Bursaspor E86231 entity
Predicate won P1518 FINISHED
Object Turkish Cup E163568 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: Turkish Cup | Statement: [Bursaspor, won, Turkish Cup]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Turkish Cup
Context triple: [Bursaspor, won, Turkish Cup]
  • A. Turkish Cup chosen
    The Turkish Cup is Turkey's premier national football knockout tournament, contested annually by clubs from across the country's league system.
  • B. Turkish Super Cup
    The Turkish Super Cup is an annual football match in Turkey contested between the winners of the Süper Lig and the Turkish Cup to determine the national super cup champion.
  • C. TFF First League
    The TFF First League is the second-highest division in the Turkish football league system, sitting just below the Süper Lig.
  • D. Ankara derby
    The Ankara derby is a fiercely contested football rivalry between the major professional clubs based in Turkey’s capital city, most notably Gençlerbirliği S.K. and their local opponents.
  • E. Hazfi Cup
    The Hazfi Cup is Iran’s primary national knockout football cup competition, featuring clubs from various tiers of the country’s league system.
  • 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_69aed93c69208190a4efac0efe3cd69b completed March 9, 2026, 2:29 p.m.
NER Named-entity recognition batch_69aefbd4acb0819093bcffcd05ed8e6f completed March 9, 2026, 4:56 p.m.
NED1 Entity disambiguation (via context triple) batch_69b562ac25848190951431c9c853cc59 completed March 14, 2026, 1:29 p.m.
Created at: March 9, 2026, 3:38 p.m.