Triple

T6364402
Position Surface form Disambiguated ID Type / Status
Subject Kii Mountains E143188 entity
Predicate drainageTo P4497 FINISHED
Object Yoshino River 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 | Statement: [Kii Mountains, drainageTo, Yoshino River]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Yoshino River
Context triple: [Kii Mountains, drainageTo, Yoshino River]
  • 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. Yoshida River
    The Yoshida River is a significant waterway flowing through Japan’s Miyagi Prefecture, contributing to the region’s natural landscape and local ecosystems.
  • C. Tokachi River
    The Tokachi River is a major river in Hokkaido, Japan, known for flowing through the Tokachi Plain and supporting regional agriculture and settlements.
  • D. Inagawa River
    The Inagawa River is a river in Japan’s Kansai region that flows through Hyōgo Prefecture, including the city of Amagasaki, before emptying into Osaka Bay.
  • E. 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.
  • 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_69c008d8c61081908bcaf61510d881ed completed March 22, 2026, 3:20 p.m.
NER Named-entity recognition batch_69c0680ed0148190b6e310b15b3449ff completed March 22, 2026, 10:07 p.m.
NED1 Entity disambiguation (via context triple) batch_69c7421871888190aab99c6c5f6c147d completed March 28, 2026, 2:51 a.m.
Created at: March 22, 2026, 4:32 p.m.