Triple

T9008127
Position Surface form Disambiguated ID Type / Status
Subject Vegalta Sendai E215395 entity
Predicate nickName P2937 FINISHED
Object Vegalta 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 | Statement: [Vegalta Sendai, nickName, Vegalta]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Vegalta
Context triple: [Vegalta Sendai, nickName, Vegalta]
  • A. Vegalta Sendai chosen
    Vegalta Sendai is a Japanese professional football club based in Sendai that competes in the J.League.
  • B. 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.
  • 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. Sanfrecce Hiroshima
    Sanfrecce Hiroshima is a professional Japanese football club based in Hiroshima that competes in the J1 League.
  • E. Nagoya Grampus
    Nagoya Grampus is a professional Japanese football club that competes in the J1 League and is known for its long history and association with the Toyota group.
  • 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_69cfeb671e488190920fb1780e4ad48d completed April 3, 2026, 4:31 p.m.
Created at: March 30, 2026, 7:06 p.m.