Triple

T22490209
Position Surface form Disambiguated ID Type / Status
Subject Kashiwa Reysol E555993 entity
Predicate rival P437 FINISHED
Object JEF United Chiba NE NERFINISHED

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: JEF United Chiba | Statement: [Kashiwa Reysol, rival, JEF United Chiba]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: JEF United Chiba
Context triple: [Kashiwa Reysol, rival, JEF United Chiba]
  • A. JEF United Chiba chosen
    JEF United Chiba is a professional Japanese football club based in Chiba that competes in the J.League system.
  • B. Sanfrecce Hiroshima
    Sanfrecce Hiroshima is a professional Japanese football club based in Hiroshima that competes in the J1 League.
  • C. Júbilo Iwata
    Júbilo Iwata is a professional Japanese football club based in Iwata, Shizuoka, known for its success in the J.League and domestic cup competitions.
  • 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. Kashiwa Reysol
    Kashiwa Reysol is a professional Japanese football club based in Kashiwa, Chiba, that competes in the J.League.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (2 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_69e11e53897c819088863779f8c50bb0 completed April 16, 2026, 5:37 p.m.
NER Named-entity recognition batch_69f15c40930c81908310ac6afd98c62e completed April 29, 2026, 1:17 a.m.
Created at: April 16, 2026, 8:49 p.m.