Triple

T7606920
Position Surface form Disambiguated ID Type / Status
Subject Toyooka E180128 entity
Predicate hasOnsenArea P20880 FINISHED
Object Kinosaki Onsen E135461 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: Kinosaki Onsen | Statement: [Toyooka, hasOnsenArea, Kinosaki Onsen]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Kinosaki Onsen
Context triple: [Toyooka, hasOnsenArea, Kinosaki Onsen]
  • A. Kinosaki Onsen chosen
    Kinosaki Onsen is a historic Japanese hot spring town famed for its seven public bathhouses, traditional ryokan inns, and picturesque willow-lined canals.
  • B. 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.
  • C. Takegawara Onsen
    Takegawara Onsen is a historic public hot spring bathhouse in Beppu, Japan, famed for its traditional architecture and sand baths.
  • D. Toyako Onsen
    Toyako Onsen is a renowned hot spring resort town on the shores of Lake Tōya in Hokkaido, Japan, famous for its scenic lakeside views, frequent fireworks, and access to volcanic landscapes.
  • E. Arima Onsen
    Arima Onsen is one of Japan’s oldest and most famous hot spring towns, renowned for its mineral-rich “gold” and “silver” baths nestled in the mountains near Kobe.
  • 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_69c69f3567008190ab01d2ca7b53584a completed March 27, 2026, 3:16 p.m.
NER Named-entity recognition batch_69c6f9fe10408190b1c12bb8f911cea8 completed March 27, 2026, 9:43 p.m.
NED1 Entity disambiguation (via context triple) batch_69c89a9dd42c8190bd03e960ebad8df9 completed March 29, 2026, 3:21 a.m.
Created at: March 27, 2026, 3:54 p.m.