Triple

T16385875
Position Surface form Disambiguated ID Type / Status
Subject Mount Aoba E397920 entity
Predicate locatedNear P294 FINISHED
Object Hirose 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: Hirose River | Statement: [Mount Aoba, locatedNear, Hirose River]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Hirose River
Context triple: [Mount Aoba, locatedNear, Hirose River]
  • A. Hirose River chosen
    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.
  • B. Hirose River
    The Hirose River is a Japanese river that flows through the city of Maebashi in Gunma Prefecture.
  • C. Tsuboi River
    Tsuboi River is a river flowing through Kumamoto in Japan’s Kyushu region, known for its role in the city’s landscape and local water management.
  • D. Hirase River
    The Hirase River is a smaller river in Japan that feeds into the larger Tama River within the Kanto region.
  • E. Hijikawa River
    The Hijikawa River is a major river in Ehime Prefecture on Japan’s Shikoku Island, known for flowing through several towns and supporting local agriculture and ecosystems.
  • 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_69d87f2880b48190ae1a9673a3bbef80 completed April 10, 2026, 4:40 a.m.
NER Named-entity recognition batch_69e3263d260081909db9ac6016d5738a completed April 18, 2026, 6:35 a.m.
Created at: April 10, 2026, 5:08 a.m.