Triple

T13256090
Position Surface form Disambiguated ID Type / Status
Subject Shiribeshi Subprefecture E315661 entity
Predicate administrativeCenter P1474 FINISHED
Object Kutchan E408389 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: Kutchan | Statement: [Shiribeshi Subprefecture, administrativeCenter, Kutchan]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Kutchan
Context triple: [Shiribeshi Subprefecture, administrativeCenter, Kutchan]
  • A. Kutchan chosen
    Kutchan is a town in Hokkaido, Japan, known as a major access point to the Niseko ski resort area and for its heavy snowfall and potato farming.
  • B. Kogarah
    Kogarah is a suburb in southern Sydney, New South Wales, Australia, known as a residential and commercial hub in the St George area.
  • C. Kitchawan
    Kitchawan is a small hamlet within the town of Yorktown in Westchester County, New York, known for its residential character and proximity to natural areas.
  • D. Kōta
    Kōta is a town in central Japan known for its manufacturing industries and location within Aichi Prefecture.
  • E. Bilibino
    Bilibino is a small town in Russia’s Far East best known for hosting one of the world’s northernmost nuclear power plants.
  • 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_69d806b1d9ac8190852c5571d5bd5f0f completed April 9, 2026, 8:06 p.m.
NER Named-entity recognition batch_69d98f7614fc8190a1cac076d706e9aa completed April 11, 2026, 12:01 a.m.
NED1 Entity disambiguation (via context triple) batch_69f716c90c5c8190a6de94b92db12210 completed May 3, 2026, 9:35 a.m.
Created at: April 9, 2026, 9:24 p.m.