Triple

T15976279
Position Surface form Disambiguated ID Type / Status
Subject Alanyaspor E387455 entity
Predicate shortName P43 FINISHED
Object Alanyaspor E387455 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: Alanyaspor | Statement: [Alanyaspor, shortName, Alanyaspor]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Alanyaspor
Context triple: [Alanyaspor, shortName, Alanyaspor]
  • A. Alanyaspor chosen
    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.
  • B. Antalyaspor
    Antalyaspor is a professional Turkish football club based in Antalya that competes in the country’s top-tier league, the Süper Lig.
  • C. Manisaspor
    Manisaspor is a Turkish professional football club based in the city of Manisa, known for competing in the national league system and developing local talent.
  • D. Kayserispor
    Kayserispor is a professional Turkish football club based in Kayseri that competes in the country’s top leagues.
  • 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_69d86da94ccc819083d187f5dc6a123e completed April 10, 2026, 3:25 a.m.
NER Named-entity recognition batch_69e1575166d081909c5275c235c8ce0f completed April 16, 2026, 9:40 p.m.
NED1 Entity disambiguation (via context triple) batch_69ffe46f19f48190a33647c711893564 completed May 10, 2026, 1:50 a.m.
Created at: April 10, 2026, 4:54 a.m.