Triple

T9450176
Position Surface form Disambiguated ID Type / Status
Subject Ōita Prefecture E227866 entity
Predicate tourismAttraction P530 FINISHED
Object Yufuin Onsen E800698 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: Yufuin Onsen | Statement: [Ōita Prefecture, tourismAttraction, Yufuin Onsen]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Yufuin Onsen
Context triple: [Ōita Prefecture, tourismAttraction, Yufuin Onsen]
  • A. Yufuin Onsen chosen
    Yufuin Onsen is a renowned hot spring resort town in Japan celebrated for its scenic rural landscape, traditional ryokan inns, and relaxing natural baths.
  • 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. Kinosaki Onsen
    Kinosaki Onsen is a historic Japanese hot spring town famed for its seven public bathhouses, traditional ryokan inns, and picturesque willow-lined canals.
  • D. Takegawara Onsen
    Takegawara Onsen is a historic public hot spring bathhouse in Beppu, Japan, famed for its traditional architecture and sand baths.
  • E. Kaga Onsen
    Kaga Onsen is a renowned hot spring resort area in Ishikawa Prefecture, Japan, famous for its historic ryokan inns, traditional culture, and scenic natural surroundings.
  • 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_69ca8439f8bc8190997f2ef40c9f0bc2 completed March 30, 2026, 2:10 p.m.
NER Named-entity recognition batch_69cd7f6649a48190b6844daa6202efe5 completed April 1, 2026, 8:26 p.m.
NED1 Entity disambiguation (via context triple) batch_69d12cdd08c08190b9a140e2634c4cf9 completed April 4, 2026, 3:23 p.m.
Created at: March 30, 2026, 7:51 p.m.