Triple

T14326689
Position Surface form Disambiguated ID Type / Status
Subject Utsunomiya E355232 entity
Predicate hasFootballClub P346 FINISHED
Object Tochigi SC E1093428 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: Tochigi SC | Statement: [Utsunomiya, hasFootballClub, Tochigi SC]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Tochigi SC
Context triple: [Utsunomiya, hasFootballClub, Tochigi SC]
  • A. Tochigi SC chosen
    Tochigi SC is a professional Japanese football club that competes in the J.League and is based in Tochigi Prefecture.
  • B. Kashiwa Reysol
    Kashiwa Reysol is a professional Japanese football club based in Kashiwa, Chiba, that competes in the J.League.
  • C. Sagan Tosu
    Sagan Tosu is a professional Japanese football club based in Tosu, Saga Prefecture, that competes in the J.League.
  • D. Tokyo Verdy
    Tokyo Verdy is a historic Japanese professional football club based in Tokyo, known as one of the founding and most successful teams of the J.League’s early era.
  • E. Ehime FC
    Ehime FC is a professional Japanese football club based in Matsuyama, Ehime Prefecture, competing in the J.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_69d8278fa2108190bc0d0e7939c1eb03 completed April 9, 2026, 10:26 p.m.
NER Named-entity recognition batch_69de883e6a288190b6c22f630a1eef3c completed April 14, 2026, 6:32 p.m.
NED1 Entity disambiguation (via context triple) batch_69fd4c3d20688190973e37ca38b4afe0 completed May 8, 2026, 2:36 a.m.
Created at: April 10, 2026, 1:13 a.m.