Triple

T14880548
Position Surface form Disambiguated ID Type / Status
Subject Akaishi Mountains E349988 entity
Predicate formsWatershedFor P6179 FINISHED
Object Tenryu River NE NERFINISHED

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: Tenryu River | Statement: [Akaishi Mountains, formsWatershedFor, Tenryu River]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Tenryu River
Context triple: [Akaishi Mountains, formsWatershedFor, Tenryu River]
  • A. Tenryu River chosen
    The Tenryu River is a major river in central Japan that flows through Nagano and Shizuoka Prefectures before emptying into the Pacific Ocean, known for its strong currents and scenic gorges.
  • B. Shinano River
    The Shinano River is Japan’s longest river, flowing through central Honshu before emptying into the Sea of Japan.
  • C. Okano River
    The Okano River is a significant river in Gabon that serves as one of the principal tributaries feeding the Ogooué River system.
  • D. Kamogawa River
    The Kamogawa River is a prominent river flowing through Kyoto, Japan, known for its scenic banks lined with traditional teahouses, restaurants, and popular walking paths.
  • E. Akigawa River
    Akigawa River is a scenic tributary of the Tama River in western Tokyo, Japan, known for its clear waters, forested valleys, and popular hiking and fishing spots.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (2 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_69d822ee4f408190b6ac3b2fa434f0df completed April 9, 2026, 10:06 p.m.
NER Named-entity recognition batch_69ded5e622388190b2bf91cd10b9821d completed April 15, 2026, 12:03 a.m.
Created at: April 10, 2026, 1:55 a.m.