Triple

T10814216
Position Surface form Disambiguated ID Type / Status
Subject Hanno E255182 entity
Predicate locatedOnRiver P165 FINISHED
Object Iruma River E945099 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: Iruma River | Statement: [Hanno, locatedOnRiver, Iruma River]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Iruma River
Context triple: [Hanno, locatedOnRiver, Iruma River]
  • A. Iruma River chosen
    The Iruma River is a river in Japan that flows through Saitama Prefecture and joins the larger Arakawa River system.
  • B. Inagawa River
    The Inagawa River is a river in Japan’s Kansai region that flows through Hyōgo Prefecture, including the city of Amagasaki, before emptying into Osaka Bay.
  • C. Shakujii River
    Shakujii River is a tributary of the Arakawa River flowing through western and northern Tokyo, known for its urban green corridors and riverside parks.
  • D. Yoshida River
    The Yoshida River is a significant waterway flowing through Japan’s Miyagi Prefecture, contributing to the region’s natural landscape and local ecosystems.
  • E. Kumagawa River
    Kumagawa River is a major river in Japan’s Kyushu region known for its fast currents, scenic gorges, and frequent flooding.
  • 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_69d6aa8081448190a9324184f2bd1c26 completed April 8, 2026, 7:20 p.m.
NER Named-entity recognition batch_69d733ece4488190b553a66c4b5188bc completed April 9, 2026, 5:06 a.m.
NED1 Entity disambiguation (via context triple) batch_69f62a6efa448190a9d95c5bd68ff34b completed May 2, 2026, 4:46 p.m.
Created at: April 8, 2026, 9:18 p.m.