Triple

T6447345
Position Surface form Disambiguated ID Type / Status
Subject Kanegasaki, Iwate, Japan E138375 entity
Predicate hasRiver P165 FINISHED
Object Kitakami River E507619 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: Kitakami River | Statement: [Kanegasaki, Iwate, Japan, hasRiver, Kitakami River]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Kitakami River
Context triple: [Kanegasaki, Iwate, Japan, hasRiver, 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. 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.
  • C. 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.
  • D. Tamakoshi River
    The Tamakoshi River is a significant Himalayan river in Nepal known for its hydropower potential and contribution to the Koshi river system.
  • 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_69c008aa61ac8190bc96715ed79fe2d8 completed March 22, 2026, 3:20 p.m.
NER Named-entity recognition batch_69c069afd8c48190b3cab580c813ecab completed March 22, 2026, 10:14 p.m.
NED1 Entity disambiguation (via context triple) batch_69c787f5123c8190957161b7afae67dd completed March 28, 2026, 7:49 a.m.
Created at: March 22, 2026, 4:47 p.m.