Triple

T19054576
Position Surface form Disambiguated ID Type / Status
Subject Kakamigahara E466358 entity
Predicate hasRiver P165 FINISHED
Object Hida 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: Hida River | Statement: [Kakamigahara, hasRiver, Hida River]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Hida River
Context triple: [Kakamigahara, hasRiver, Hida River]
  • A. Hida River chosen
    The Hida River is a major river in central Japan that flows through Gifu Prefecture and is known for its scenic valleys and role in regional water systems.
  • B. Honkawa River
    The Honkawa River is a major river channel in Hiroshima, Japan, flowing through the city’s central area near the Atomic Bomb Dome before joining the Ōta River system.
  • C. Kinugawa River
    The Kinugawa River is a major river in Japan known for flowing through the hot spring resort area of Kinugawa Onsen and contributing to the scenic landscapes of the northern Kanto region.
  • D. Yasu River
    The Yasu River is a significant river in Japan’s Kansai region that flows through Shiga Prefecture and ultimately drains into Lake Biwa.
  • E. Nunobiki River
    Nunobiki River is a short mountain stream in Kobe, Japan, known for flowing through the scenic Nunobiki Falls area before reaching the city.
  • 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_69d8dd040fb881909af2a964f65ad208 completed April 10, 2026, 11:20 a.m.
NER Named-entity recognition batch_69e5dc049f64819093ae9fda26a49bd2 completed April 20, 2026, 7:55 a.m.
Created at: April 10, 2026, 12:03 p.m.