Triple

T16231178
Position Surface form Disambiguated ID Type / Status
Subject Eskişehirspor E393982 entity
Predicate notableRival P893 FINISHED
Object Konyaspor E752623 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: Konyaspor | Statement: [Eskişehirspor, notableRival, Konyaspor]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Konyaspor
Context triple: [Eskişehirspor, notableRival, Konyaspor]
  • A. Konyaspor chosen
    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.
  • B. Kayserispor
    Kayserispor is a professional Turkish football club based in Kayseri that competes in the country’s top leagues.
  • 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. Sakaryaspor
    Sakaryaspor is a Turkish professional football club known for developing notable talents such as legendary striker Hakan Şükür.
  • 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_69d87f204df88190a8f88923decf9835 completed April 10, 2026, 4:40 a.m.
NER Named-entity recognition batch_69e23d29fa248190943f4c3f7808908b completed April 17, 2026, 2:01 p.m.
NED1 Entity disambiguation (via context triple) batch_6a0017ad3fa88190b71aa1e0c6414807 completed May 10, 2026, 5:29 a.m.
Created at: April 10, 2026, 5:04 a.m.