Triple

T13011938
Position Surface form Disambiguated ID Type / Status
Subject Kuwana E322437 entity
Predicate locatedOnRiver P165 FINISHED
Object Kiso River E85808 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: Kiso River | Statement: [Kuwana, locatedOnRiver, Kiso River]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Kiso River
Context triple: [Kuwana, locatedOnRiver, 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. Lukusashi River
    The Lukusashi River is a significant tributary waterway in Zambia that feeds into the larger Luangwa River system.
  • E. Tenma River
    The Tenma River is a distributary waterway that branches from the Ōta River in Hiroshima, Japan, forming part of the city’s river delta network.
  • 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_69d807657e8c8190bd9435ee2f823845 completed April 9, 2026, 8:09 p.m.
NER Named-entity recognition batch_69d97e9e14b88190a2cee8e0c9bf31c8 completed April 10, 2026, 10:50 p.m.
NED1 Entity disambiguation (via context triple) batch_6a001f79c6ac81909935dace3dcc8bea completed May 10, 2026, 6:02 a.m.
Created at: April 9, 2026, 8:49 p.m.