Triple

T3413606
Position Surface form Disambiguated ID Type / Status
Subject Shikoku Mountains E71954 entity
Predicate drainage P1559 FINISHED
Object Yoshino River basin E119132 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: Yoshino River basin | Statement: [Shikoku Mountains, drainage, Yoshino River basin]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Yoshino River basin
Context triple: [Shikoku Mountains, drainage, Yoshino River basin]
  • A. Yoshino River chosen
    The Yoshino River is one of Japan’s major rivers, renowned for its strong currents, hydroelectric dams, and scenic gorges as it flows across the island of Shikoku.
  • B. Katsura River
    The Katsura River is a scenic river in Japan’s Kyoto Prefecture, famed for flowing through the Arashiyama district and its picturesque bridges, cherry blossoms, and traditional boat rides.
  • C. Arakawa River
    The Arakawa River is a major river in the Tokyo region of Japan, known for its extensive flood control systems and role in shaping the urban landscape.
  • D. Hirose River
    The Hirose River is a prominent river in Miyagi Prefecture, Japan, known for flowing through the city of Sendai and for its scenic banks and clear waters.
  • E. Okano River
    The Okano River is a significant river in Gabon that serves as one of the principal tributaries feeding the Ogooué River system.
  • 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_69ad85ac312481909e7027ced1456a9f completed March 8, 2026, 2:20 p.m.
NER Named-entity recognition batch_69adb927e8d081908a5ab283da93beb2 completed March 8, 2026, 6 p.m.
NED1 Entity disambiguation (via context triple) batch_69b360be3b6c81909ee0ac6d4512a56d completed March 13, 2026, 12:56 a.m.
Created at: March 8, 2026, 3:15 p.m.