Triple

T5609458
Position Surface form Disambiguated ID Type / Status
Subject Albirex Niigata E147315 entity
Predicate basedIn P40 FINISHED
Object Niigata E27598 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: Niigata | Statement: [Albirex Niigata, basedIn, Niigata]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Niigata
Context triple: [Albirex Niigata, basedIn, Niigata]
  • A. Niigata chosen
    Niigata is a major coastal city in north-central Japan known for its important seaport on the Sea of Japan, rice production, and sake brewing.
  • B. Kanazawa
    Kanazawa is a historic Japanese city on the Sea of Japan coast, renowned for its well-preserved samurai and geisha districts, traditional crafts, and the celebrated Kenrokuen Garden.
  • C. Okayama
    Okayama is a major city in western Japan known for its historic Okayama Castle, the celebrated Korakuen Garden, and its role as a regional transportation and cultural hub.
  • D. Toyohashi
    Toyohashi is a city in Aichi Prefecture, Japan, known as a regional commercial and transportation hub on the Pacific coast of central Honshu.
  • E. Takasaki
    Takasaki is a city in Japan’s Gunma Prefecture known for its Daruma doll production and as a regional commercial and transportation hub.
  • 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_69cf4205d7a08190839c10bdfc476d9f completed April 3, 2026, 4:28 a.m.
Created at: March 22, 2026, 3:39 p.m.