Triple

T14972054
Position Surface form Disambiguated ID Type / Status
Subject Hokuriku region E373344 entity
Predicate tourismAttraction P530 FINISHED
Object Kaga Onsen E171139 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: Kaga Onsen | Statement: [Hokuriku region, tourismAttraction, Kaga Onsen]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Kaga Onsen
Context triple: [Hokuriku region, tourismAttraction, Kaga Onsen]
  • A. Kaga Onsen chosen
    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.
  • B. Nagashima Onsen
    Nagashima Onsen is a major Japanese hot spring and leisure resort complex in Mie Prefecture, known for its large onsen facilities, amusement park, outlet mall, and seasonal flower displays.
  • C. Takegawara Onsen
    Takegawara Onsen is a historic public hot spring bathhouse in Beppu, Japan, famed for its traditional architecture and sand baths.
  • D. 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.
  • E. Dōgo Onsen
    Dōgo Onsen is one of Japan’s oldest and most famous hot spring baths, renowned for its historic wooden bathhouse and cultural significance in Matsuyama, Ehime Prefecture.
  • 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_69d85ccbbcd48190acb56e7cf104d8ad completed April 10, 2026, 2:13 a.m.
NER Named-entity recognition batch_69ded6e767608190940eb6f16ea97451 completed April 15, 2026, 12:08 a.m.
NED1 Entity disambiguation (via context triple) batch_69fe8be8af688190832efb00695f8b20 completed May 9, 2026, 1:20 a.m.
Created at: April 10, 2026, 2:50 a.m.