Triple

T5104372
Position Surface form Disambiguated ID Type / Status
Subject Kizugawa, Japan E115054 entity
Predicate namedAfter P63 FINISHED
Object Kizu River E274275 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: Kizu River | Statement: [Kizugawa, Japan, namedAfter, Kizu River]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Kizu River
Context triple: [Kizugawa, Japan, namedAfter, Kizu River]
  • A. Kizu River chosen
    The Kizu River is a significant river in Japan’s Kansai region that flows through Nara and Kyoto Prefectures before joining the Yodo River system.
  • B. Shizukuishi River
    The Shizukuishi River is a river in Iwate Prefecture, Japan, that flows through the city of Morioka and is part of the Kitakami River system.
  • C. Osuga River
    The Osuga River is a watercourse in Russia that flows through the Tver Oblast region, passing near the village of Pryamukhino.
  • D. Motoyasu River
    The Motoyasu River is a river flowing through central Hiroshima, Japan, known for running beside the Atomic Bomb Dome and Hiroshima Peace Memorial Park.
  • E. Yoshii River
    The Yoshii River is a significant river in Okayama Prefecture, Japan, known for flowing through several cities and supporting local agriculture and ecosystems before emptying into the Seto Inland Sea.
  • 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_69bd4440b3348190be1251fd8b7951f1 completed March 20, 2026, 12:57 p.m.
NER Named-entity recognition batch_69bd7588c1cc81909d380f91ee214808 completed March 20, 2026, 4:27 p.m.
NED1 Entity disambiguation (via context triple) batch_69bfa92639a88190a28d9b74e0e55c39 completed March 22, 2026, 8:32 a.m.
Created at: March 20, 2026, 1:41 p.m.