Triple

T19270652
Position Surface form Disambiguated ID Type / Status
Subject Minoh E481913 entity
Predicate hasRiver P165 FINISHED
Object Minoh 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: Minoh River | Statement: [Minoh, hasRiver, Minoh River]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Minoh River
Context triple: [Minoh, hasRiver, Minoh River]
  • A. Minoh River chosen
    The Minoh River is a small scenic river in Osaka Prefecture, Japan, known for flowing through Minoh Quasi-National Park and alongside the famous Minoh Waterfall.
  • B. Shinmachi River
    The Shinmachi River is a central waterway flowing through Tokushima City in Japan, known for its riverside promenades, sightseeing cruises, and role in local festivals.
  • C. Mamurogawa River
    Mamurogawa River is a river in Japan that serves as one of the tributaries feeding the larger Mogami River system.
  • D. Myōshōji River
    The Myōshōji River is a small urban waterway in Tokyo, Japan, known for flowing through residential districts and park areas before joining the larger Kanda River.
  • E. Maruyama River
    Maruyama River is a major river in northern Hyōgo Prefecture, Japan, known for flowing through Toyooka and supporting the region’s agriculture, ecosystems, and scenic landscapes.
  • 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_69d8e8ce54cc8190998418ff1f66ef28 completed April 10, 2026, 12:10 p.m.
NER Named-entity recognition batch_69e5fbb8bea08190b5c65eebe67dccbb completed April 20, 2026, 10:11 a.m.
Created at: April 10, 2026, 1:29 p.m.