Triple

T23391955
Position Surface form Disambiguated ID Type / Status
Subject Yokote Kamakura Snow Festival E594041 entity
Predicate heldIn P2777 FINISHED
Object Yokote, Akita 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: Yokote, Akita | Statement: [Yokote Kamakura Snow Festival, heldIn, Yokote, Akita]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Yokote, Akita
Context triple: [Yokote Kamakura Snow Festival, heldIn, Yokote, Akita]
  • A. Yokote, Akita chosen
    Yokote, Akita is a city in Akita Prefecture, Japan, known for its heavy snowfall and the traditional Yokote Kamakura Snow Festival featuring igloo-like snow huts.
  • B. Higashinaruse, Akita
    Higashinaruse, Akita is a small mountainous village in Akita Prefecture, Japan, known for its heavy snowfall, natural scenery, and traditional rural lifestyle.
  • C. Yoshida, Niigata
    Yoshida, Niigata is a town in Niigata Prefecture, Japan, known as a local administrative and residential center on the coast of the Sea of Japan.
  • D. Tokamachi, Niigata
    Tokamachi, Niigata is a city in Niigata Prefecture, Japan, known for its heavy snowfall, traditional Echigo-jofu textiles, and scenic rural landscapes.
  • E. Yonezawa
    Yonezawa is a city in southern Yamagata Prefecture, Japan, known for its historic castle town, high-quality Yonezawa beef, and snowy climate.
  • 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_69e25d2754fc819085deea939bde60ab completed April 17, 2026, 4:17 p.m.
NER Named-entity recognition batch_69f1a49ca5a0819091b74ca59e7fedd4 completed April 29, 2026, 6:26 a.m.
Created at: April 17, 2026, 5:36 p.m.