Triple

T17830043
Position Surface form Disambiguated ID Type / Status
Subject Chikugo River E445227 entity
Predicate alsoKnownAs P39 FINISHED
Object Chikugogawa 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: Chikugogawa | Statement: [Chikugo River, alsoKnownAs, Chikugogawa]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Chikugogawa
Context triple: [Chikugo River, alsoKnownAs, Chikugogawa]
  • A. Sakuragawa
    Sakuragawa is a neighborhood in Osaka, Japan, known as one of the major districts within Naniwa Ward.
  • B. Kumagawa River
    Kumagawa River is a major river in Japan’s Kyushu region known for its fast currents, scenic gorges, and frequent flooding.
  • C. Mukogawa River
    The Mukogawa River is a prominent river in Japan’s Hyōgo Prefecture that flows through cities such as Nishinomiya before emptying into Osaka Bay.
  • D. Chikugo River chosen
    The Chikugo River is one of Kyushu’s longest and most important rivers, supporting agriculture, industry, and communities across western Japan.
  • 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 (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_69d8b9f1a6d881909f024bc603111cdb completed April 10, 2026, 8:50 a.m.
NER Named-entity recognition batch_69e48917c4d88190b919a4b75aed011c completed April 19, 2026, 7:49 a.m.
Created at: April 10, 2026, 10:15 a.m.