Triple

T4038693
Position Surface form Disambiguated ID Type / Status
Subject Niseko E83888 entity
Predicate near P350 FINISHED
Object Niseko Town E83888 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: Niseko Town | Statement: [Niseko, near, Niseko Town]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Niseko Town
Context triple: [Niseko, near, Niseko Town]
  • A. Niseko chosen
    Niseko is a renowned ski resort area in northern Japan famous for its abundant light powder snow, extensive slopes, and vibrant international winter sports scene.
  • B. Taku City
    Taku City is a municipality in Saga Prefecture, Japan, known for its historic sites and traditional Japanese townscape.
  • C. Nozawa Onsen Village
    Nozawa Onsen Village is a historic hot-spring and ski resort village in Japan renowned for its traditional ryokan inns, public bathhouses, and powder snow.
  • D. Toyako Town
    Toyako Town is a lakeside town in Hokkaido, Japan, known for its scenic volcanic landscapes, hot springs, and outdoor recreation around Lake Tōya.
  • E. Hakuba Valley
    Hakuba Valley is a renowned Japanese ski and outdoor recreation area in the Northern Alps, famous for its world-class winter sports, scenic mountain landscapes, and role as a host venue during the 1998 Nagano Winter Olympics.
  • 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_69aed92f7cf0819098e0539bdcc3767f completed March 9, 2026, 2:29 p.m.
NER Named-entity recognition batch_69aefb37e24c81908d6357ab8ba5388d completed March 9, 2026, 4:54 p.m.
NED1 Entity disambiguation (via context triple) batch_69b56299dbe88190b36f4a488201acd8 completed March 14, 2026, 1:28 p.m.
Created at: March 9, 2026, 3:37 p.m.