Triple

T16559658
Position Surface form Disambiguated ID Type / Status
Subject Kannawa Onsen district E402301 entity
Predicate partOf P40 FINISHED
Object Beppu Onsen E1229841 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: Beppu Onsen | Statement: [Kannawa Onsen district, partOf, Beppu Onsen]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Beppu Onsen
Context triple: [Kannawa Onsen district, partOf, Beppu Onsen]
  • A. Beppu Onsen chosen
    Beppu Onsen is one of Japan’s most famous hot spring resort areas, renowned for its numerous baths, steaming “hell” springs, and long-standing onsen culture.
  • B. 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.
  • 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. Noboribetsu Onsen
    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.
  • E. Ikaho Onsen
    Ikaho Onsen is a historic hot spring resort town in Gunma Prefecture, Japan, famed for its iron-rich baths and stone stairway lined with traditional inns and shops.
  • 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_69d8838648088190acf97ef11fc3f61b completed April 10, 2026, 4:58 a.m.
NER Named-entity recognition batch_69e3576cceb881908579b56d91b15dec completed April 18, 2026, 10:05 a.m.
NED1 Entity disambiguation (via context triple) batch_6a009d2bbe9c81909031d79f93faca6a completed May 10, 2026, 2:58 p.m.
Created at: April 10, 2026, 5:15 a.m.