Triple

T15525339
Position Surface form Disambiguated ID Type / Status
Subject Ōshū, Iwate, Japan E369067 entity
Predicate locatedAlongRiver P39043 FINISHED
Object Kitakami 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: Kitakami River | Statement: [Ōshū, Iwate, Japan, locatedAlongRiver, Kitakami River]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Kitakami River
Context triple: [Ōshū, Iwate, Japan, locatedAlongRiver, Kitakami River]
  • A. Kitakami River chosen
    The Kitakami River is a major river in Japan’s Tōhoku region, flowing through Iwate and Miyagi Prefectures and known historically for its role in regional transport, agriculture, and flood control.
  • B. Kitayama River
    The Kitayama River is a significant river in Japan’s Kii Peninsula, known for its scenic gorges and traditional log rafting activities.
  • C. 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.
  • D. Tokachi River
    The Tokachi River is a major river in Hokkaido, Japan, known for flowing through the Tokachi Plain and supporting regional agriculture and settlements.
  • E. Ajigawa River
    The Ajigawa River is a waterway in Osaka, Japan, that flows through the Konohana ward and contributes to the city's historic port and industrial waterfront areas.
  • 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_69d85a1794cc8190b0b428716296e63e completed April 10, 2026, 2:01 a.m.
NER Named-entity recognition batch_69e04145178481909fb0339a79d4239e completed April 16, 2026, 1:54 a.m.
Created at: April 10, 2026, 4:05 a.m.