Triple

T12422937
Position Surface form Disambiguated ID Type / Status
Subject Osaka City Hall E296821 entity
Predicate locatedBetween P1262 FINISHED
Object Dojima River E1152645 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: Dojima River | Statement: [Osaka City Hall, locatedBetween, Dojima River]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Dojima River
Context triple: [Osaka City Hall, locatedBetween, Dojima River]
  • A. Dojima River chosen
    The Dojima River is a historically significant waterway flowing through central Osaka, Japan, known for bordering major commercial and entertainment districts.
  • B. 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.
  • C. Kumagawa River
    Kumagawa River is a major river in Japan’s Kyushu region known for its fast currents, scenic gorges, and frequent flooding.
  • D. Oigawa River
    The Oigawa River is a major river in central Japan known for its scenic valleys, hydroelectric dams, and the historic Oigawa Railway that runs along its banks.
  • E. 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.
  • 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_69d6ada0640c81908c061d7fb3d47786 completed April 8, 2026, 7:33 p.m.
NER Named-entity recognition batch_69d94d702b1481909db5f5bed6292ce0 completed April 10, 2026, 7:20 p.m.
NED1 Entity disambiguation (via context triple) batch_69ff1330527481908d518093debc9ad1 completed May 9, 2026, 10:57 a.m.
Created at: April 8, 2026, 9:55 p.m.