Triple

T9450410
Position Surface form Disambiguated ID Type / Status
Subject Kochi E227873 entity
Predicate hasRiver P165 FINISHED
Object Monobe River E744439 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: Monobe River | Statement: [Kochi, hasRiver, Monobe River]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Monobe River
Context triple: [Kochi, hasRiver, Monobe River]
  • A. Monobe River chosen
    The Monobe River is a river in Japan that flows through Kōchi Prefecture on the island of Shikoku.
  • B. Motoyasu River
    The Motoyasu River is a river flowing through central Hiroshima, Japan, known for running beside the Atomic Bomb Dome and Hiroshima Peace Memorial Park.
  • C. Tsuboi River
    Tsuboi River is a river flowing through Kumamoto in Japan’s Kyushu region, known for its role in the city’s landscape and local water management.
  • D. Osuga River
    The Osuga River is a watercourse in Russia that flows through the Tver Oblast region, passing near the village of Pryamukhino.
  • E. 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.
  • 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_69ca8439f8bc8190997f2ef40c9f0bc2 completed March 30, 2026, 2:10 p.m.
NER Named-entity recognition batch_69cd7f6649a48190b6844daa6202efe5 completed April 1, 2026, 8:26 p.m.
NED1 Entity disambiguation (via context triple) batch_69d9330fa33c8190b507ad18362a6c64 completed April 10, 2026, 5:27 p.m.
Created at: March 30, 2026, 7:51 p.m.