Triple

T21755072
Position Surface form Disambiguated ID Type / Status
Subject Niigata Stadium E537016 entity
Predicate tenant P75 FINISHED
Object Albirex Niigata 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: Albirex Niigata | Statement: [Niigata Stadium, tenant, Albirex Niigata]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Albirex Niigata
Context triple: [Niigata Stadium, tenant, Albirex Niigata]
  • A. Albirex Niigata chosen
    Albirex Niigata is a professional Japanese football club based in Niigata that competes in the J.League.
  • B. Gamba Osaka
    Gamba Osaka is a professional Japanese football club that competes in the J1 League and is known as one of the country's most successful and historic teams.
  • C. Kashima Antlers
    Kashima Antlers is a Japanese professional football club renowned as one of the country’s most dominant and historically successful teams.
  • D. 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.
  • E. Vissel Kobe
    Vissel Kobe is a professional Japanese football club based in Kobe that competes in the J1 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_69e0c46eab808190b848242d63a17c47 completed April 16, 2026, 11:13 a.m.
NER Named-entity recognition batch_69f01d8d6d0081908e0ccfbccea58895 completed April 28, 2026, 2:38 a.m.
Created at: April 16, 2026, 6:50 p.m.