Triple

T5609466
Position Surface form Disambiguated ID Type / Status
Subject Albirex Niigata E147315 entity
Predicate shortName P43 FINISHED
Object Albirex E147315 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: Albirex | Statement: [Albirex Niigata, shortName, Albirex]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Albirex
Context triple: [Albirex Niigata, shortName, Albirex]
  • A. Albirex Niigata chosen
    Albirex Niigata is a professional Japanese football club based in Niigata that competes in the J.League.
  • B. Alvark Tokyo
    Alvark Tokyo is a professional basketball team based in Tokyo, Japan, competing at the top level of the Japanese B.League.
  • C. Niigata Albirex BB
    Niigata Albirex BB is a professional Japanese basketball team based in Niigata, known for competing in the country’s top-tier leagues and cultivating a strong local fan base.
  • D. Moroka Swallows F.C.
    Moroka Swallows F.C. is a historic South African football club from Soweto, known as one of the country’s oldest and most traditional teams.
  • E. Giravanz Kitakyushu
    Giravanz Kitakyushu is a Japanese professional football club based in Kitakyushu, known for competing in the J.League system.
  • 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_69c0090500f881908374285baf0ac46f completed March 22, 2026, 3:21 p.m.
NER Named-entity recognition batch_69c020fe7ee0819088ced51afd9a4f93 completed March 22, 2026, 5:03 p.m.
NED1 Entity disambiguation (via context triple) batch_69c04d4876208190b8f5b5ab2ba762d8 completed March 22, 2026, 8:12 p.m.
Created at: March 22, 2026, 3:39 p.m.