Triple

T16519670
Position Surface form Disambiguated ID Type / Status
Subject Kiso Valley E401284 entity
Predicate traversedBy P225 FINISHED
Object Kiso 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: Kiso River | Statement: [Kiso Valley, traversedBy, Kiso River]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Kiso River
Context triple: [Kiso Valley, traversedBy, Kiso River]
  • A. Kiso River chosen
    The Kiso River is a major river in central Japan known for flowing through the Kiso Valley and contributing to the Nōbi Plain’s fertile landscape.
  • B. Misasa River
    Misasa River is a Japanese river known as a tributary of the Ōta River in Hiroshima Prefecture.
  • C. Miya River
    The Miya River is a major river in central Japan’s Mie Prefecture, known for flowing through the city of Ise and playing an important role in the region’s ecology and culture.
  • D. Koizumi River
    Koizumi River is a small river in the Kumagaya area of Saitama Prefecture, Japan, contributing to the region’s local waterways and landscape.
  • E. Kenamu River
    Kenamu River is a river in Labrador, Canada, that drains a remote forested watershed before emptying into the inland fjord-like basin of Lake Melville.
  • 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_69d883838abc8190bc79cb2d41733ce2 completed April 10, 2026, 4:58 a.m.
NER Named-entity recognition batch_69e32e7ec45c8190b5e2c4a5f707e332 completed April 18, 2026, 7:10 a.m.
Created at: April 10, 2026, 5:14 a.m.