Triple

T20998187
Position Surface form Disambiguated ID Type / Status
Subject Noboribetsu E517206 entity
Predicate knownFor P22 FINISHED
Object Noboribetsu Onsen 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: Noboribetsu Onsen | Statement: [Noboribetsu, knownFor, Noboribetsu Onsen]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Noboribetsu Onsen
Context triple: [Noboribetsu, knownFor, Noboribetsu Onsen]
  • A. Noboribetsu Onsen chosen
    Noboribetsu Onsen is one of Japan’s most famous hot spring resort towns, renowned for its volcanic “Hell Valley” landscapes and diverse mineral-rich baths.
  • B. Asama Onsen
    Asama Onsen is a historic hot spring resort area in Matsumoto, Nagano Prefecture, known for its traditional ryokan inns and therapeutic baths.
  • C. Nyuto Onsen
    Nyuto Onsen is a remote hot spring village in Japan famed for its rustic, traditional ryokan inns and milky, mineral-rich baths nestled in the mountains of Akita Prefecture.
  • D. Goshogake Onsen
    Goshogake Onsen is a remote hot spring resort in Japan’s Akita Prefecture, known for its volcanic landscapes, bubbling mud pools, and traditional rustic baths.
  • E. Tsuchiyu Onsen
    Tsuchiyu Onsen is a traditional Japanese hot spring village in Fukushima Prefecture, known for its therapeutic baths, scenic mountain setting near Mount Azuma, and distinctive wooden kokeshi dolls.
  • 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_69e0b5006e2881909fc2383f841740cc completed April 16, 2026, 10:08 a.m.
NER Named-entity recognition batch_69e6fc22ca6081908bf054ddcfea9e19 completed April 21, 2026, 4:25 a.m.
Created at: April 16, 2026, 1:51 p.m.