Triple

T9008135
Position Surface form Disambiguated ID Type / Status
Subject Vegalta Sendai E215395 entity
Predicate hasSection P35 FINISHED
Object Vegalta Sendai Ladies E215395 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: Vegalta Sendai Ladies | Statement: [Vegalta Sendai, hasSection, Vegalta Sendai Ladies]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Vegalta Sendai Ladies
Context triple: [Vegalta Sendai, hasSection, Vegalta Sendai Ladies]
  • A. Omiya Ardija
    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. Vegalta Sendai chosen
    Vegalta Sendai is a Japanese professional football club based in Sendai that competes in the J.League.
  • D. Shiroki FC Serena
    Shiroki FC Serena is a Japanese women's football club known for competing in the Nadeshiko League and for having featured prominent players such as Brandi Chastain.
  • 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_69ca83a2bf088190986ee7a8eb90407d completed March 30, 2026, 2:07 p.m.
NER Named-entity recognition batch_69cc69bed8588190afc9cbca12b75a3b completed April 1, 2026, 12:41 a.m.
NED1 Entity disambiguation (via context triple) batch_69cfd0ec84348190944a2310a6a60448 completed April 3, 2026, 2:38 p.m.
Created at: March 30, 2026, 7:06 p.m.