Triple

T15764082
Position Surface form Disambiguated ID Type / Status
Subject Toya caldera E382173 entity
Predicate hasNearbyOnsenArea P42027 FINISHED
Object Noboribetsu Onsen E388624 NE FINISHED

How this triple was built (3 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: [Toya caldera, hasNearbyOnsenArea, Noboribetsu Onsen]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Noboribetsu Onsen
Context triple: [Toya caldera, hasNearbyOnsenArea, 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. 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.
  • C. Hyotan Onsen
    Hyotan Onsen is a well-known traditional hot spring bathhouse in Beppu, Japan, famous for its variety of baths, sand baths, and authentic onsen experience.
  • D. Ureshino Onsen
    Ureshino Onsen is a historic hot spring resort town in Saga Prefecture, Japan, famed for its silky, skin-beautifying waters and nearby Ureshino tea.
  • E. Kinugawa Onsen
    Kinugawa Onsen is a famous hot spring resort area in Tochigi Prefecture, Japan, known for its riverside ryokan, scenic gorges, and easy access from Tokyo.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: hasNearbyOnsenArea
Context triple: [Toya caldera, hasNearbyOnsenArea, Noboribetsu Onsen]
  • A. hasNearbyPilgrimageSite
    Indicates that one entity is located close to a place used as a pilgrimage site for religious or spiritual journeys.
  • B. hasIslandNearby
    Indicates that one location is situated close to an island in geographic space.
  • C. hasAttractionNearby
    Indicates that one entity is located close to another entity that serves as an attraction or point of interest.
  • D. hasNearbyIslandPark
    Indicates that an island park is located close to the referenced place or entity.
  • E. nearbyResortArea chosen
    Indicates that a resort area is located close to or within a short distance of a specified place or entity.
  • F. None of above.

Provenance (4 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_69d86da09a10819082fe9797b23e4664 completed April 10, 2026, 3:25 a.m.
NER Named-entity recognition batch_69e050b6c9fc8190a1bcf763c4b04b12 completed April 16, 2026, 3 a.m.
NED1 Entity disambiguation (via context triple) batch_69ff998397688190a77b6a7c5b542f7e completed May 9, 2026, 8:30 p.m.
PD Predicate disambiguation batch_69e00531e7ac8190a4190cce4f7fab4c completed April 15, 2026, 9:37 p.m.
Created at: April 10, 2026, 4:47 a.m.