Triple

T10889307
Position Surface form Disambiguated ID Type / Status
Subject Omiya Ardija E257132 entity
Predicate shortName P43 FINISHED
Object Omiya Ardija E257132 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: Omiya Ardija | Statement: [Omiya Ardija, shortName, Omiya Ardija]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Omiya Ardija
Context triple: [Omiya Ardija, shortName, Omiya Ardija]
  • A. Omiya Ardija chosen
    Omiya Ardija is a professional Japanese football club based in Saitama that competes in the J.League.
  • B. Urawa Red Diamonds
    Urawa Red Diamonds are a professional Japanese football club based in Saitama, known as one of the country’s most successful and passionately supported teams.
  • 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. Kashiwa Reysol
    Kashiwa Reysol is a professional Japanese football club based in Kashiwa, Chiba, that competes in the J.League.
  • E. 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.
  • 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_69d6aa848804819081b2713ca0bedf06 completed April 8, 2026, 7:20 p.m.
NER Named-entity recognition batch_69d75202b7248190adeb5780fc5b9199 completed April 9, 2026, 7:15 a.m.
NED1 Entity disambiguation (via context triple) batch_69e154f288b48190b0e840178d1071af completed April 16, 2026, 9:30 p.m.
Created at: April 8, 2026, 9:21 p.m.