Triple

T11245768
Position Surface form Disambiguated ID Type / Status
Subject Sendai, Miyagi, Japan E266198 entity
Predicate sportsTeam P330 FINISHED
Object Vegalta Sendai 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 | Statement: [Sendai, Miyagi, Japan, sportsTeam, Vegalta Sendai]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Vegalta Sendai
Context triple: [Sendai, Miyagi, Japan, sportsTeam, Vegalta Sendai]
  • A. Vegalta Sendai chosen
    Vegalta Sendai is a Japanese professional football club based in Sendai that competes in the J.League.
  • B. Sagan Tosu
    Sagan Tosu is a professional Japanese football club based in Tosu, Saga Prefecture, that competes in the J.League.
  • C. 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.
  • D. Sanfrecce Hiroshima
    Sanfrecce Hiroshima is a professional Japanese football club based in Hiroshima that competes in the J1 League.
  • E. Hokkaido Consadole Sapporo
    Hokkaido Consadole Sapporo is a Japanese professional football club based in Sapporo that competes in the J1 League.
  • 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_69d6aac7953c8190b82caf9d7640fdf9 completed April 8, 2026, 7:21 p.m.
NER Named-entity recognition batch_69d7e91c045c81908a9024a8aee32f4d completed April 9, 2026, 5:59 p.m.
NED1 Entity disambiguation (via context triple) batch_69e4ad8c3bec8190987451ab73e79011 completed April 19, 2026, 10:25 a.m.
Created at: April 8, 2026, 9:31 p.m.