Triple

T16153477
Position Surface form Disambiguated ID Type / Status
Subject Fujinomiya E391972 entity
Predicate hasRiver P165 FINISHED
Object Kamanashi 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: Kamanashi River | Statement: [Fujinomiya, hasRiver, Kamanashi River]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Kamanashi River
Context triple: [Fujinomiya, hasRiver, Kamanashi River]
  • A. Kamanashi River chosen
    The Kamanashi River is a major river in central Japan that flows through Yamanashi Prefecture as part of the upper Fuji River system.
  • B. Tadami River
    The Tadami River is a scenic river in Japan’s Tōhoku region, renowned for its picturesque valleys, hydroelectric dams, and iconic railway bridges, especially within Fukushima Prefecture.
  • C. Tamakoshi River
    The Tamakoshi River is a significant Himalayan river in Nepal known for its hydropower potential and contribution to the Koshi river system.
  • D. 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.
  • E. Kitayama River
    The Kitayama River is a significant river in Japan’s Kii Peninsula, known for its scenic gorges and traditional log rafting activities.
  • 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_69d87f1c65e48190aa2b4c472e9bafc4 completed April 10, 2026, 4:39 a.m.
NER Named-entity recognition batch_69e21e57e95c8190ae4ed641be974ce5 completed April 17, 2026, 11:49 a.m.
Created at: April 10, 2026, 5:01 a.m.