Triple

T7416358
Position Surface form Disambiguated ID Type / Status
Subject Kaga Onsen E171139 entity
Predicate locatedNear P294 FINISHED
Object Sea of Japan E1009 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: Sea of Japan | Statement: [Kaga Onsen, locatedNear, Sea of Japan]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Sea of Japan
Context triple: [Kaga Onsen, locatedNear, Sea of Japan]
  • A. Sea of Japan chosen
    The Sea of Japan is a marginal sea of the western Pacific Ocean located between the Japanese archipelago, the Korean Peninsula, and Russia, known for its rich fisheries and strategic shipping routes.
  • B. Suō Sea
    The Suō Sea is a body of water in western Japan, forming part of the Seto Inland Sea between Honshu and Kyushu.
  • C. Sea of Okhotsk
    The Sea of Okhotsk is a marginal sea of the western Pacific Ocean bordered by Russia and Japan, known for its rich fisheries, seasonal sea ice, and harsh subarctic climate.
  • D. Ariake Sea
    The Ariake Sea is a shallow inland sea in southwestern Japan known for its extensive tidal flats and rich fisheries along the coasts of Kyushu.
  • E. Harima-nada Sea
    The Harima-nada Sea is a section of Japan’s Seto Inland Sea along the coast of Hyōgo Prefecture, known for its sheltered waters, fishing grounds, and busy maritime routes.
  • 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_69c68a618bdc81908d8018edadecd1a4 completed March 27, 2026, 1:47 p.m.
NER Named-entity recognition batch_69c6f2c7ae0c8190a8348d6223aeeecc completed March 27, 2026, 9:12 p.m.
NED1 Entity disambiguation (via context triple) batch_69c861218ac081909798edadae16162f completed March 28, 2026, 11:15 p.m.
Created at: March 27, 2026, 3:11 p.m.