Triple

T7561675
Position Surface form Disambiguated ID Type / Status
Subject Arakawa, Tokyo E178807 entity
Predicate namedAfter P63 FINISHED
Object Arakawa River E249387 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: Arakawa River | Statement: [Arakawa, Tokyo, namedAfter, Arakawa River]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Arakawa River
Context triple: [Arakawa, Tokyo, namedAfter, Arakawa River]
  • A. Arakawa River chosen
    The Arakawa River is a major river in the Tokyo region of Japan, known for its extensive flood control systems and role in shaping the urban landscape.
  • B. Usui River
    The Usui River is a river in Gunma Prefecture, Japan, known for flowing through the city of Takasaki and the surrounding mountainous region.
  • C. Kamogawa River
    The Kamogawa River is a prominent river flowing through Kyoto, Japan, known for its scenic banks lined with traditional teahouses, restaurants, and popular walking paths.
  • D. Yamato River
    The Yamato River is a major river in Japan’s Kansai region that flows through Nara and Osaka Prefectures before emptying into Osaka Bay.
  • E. Yoshino River
    The Yoshino River is one of Japan’s major rivers, renowned for its strong currents, hydroelectric dams, and scenic gorges as it flows across the island of Shikoku.
  • 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_69c69f2f80288190b95cceb4da92ab2b completed March 27, 2026, 3:15 p.m.
NER Named-entity recognition batch_69c6f8f847c48190a1081aa9de7ff945 completed March 27, 2026, 9:39 p.m.
NED1 Entity disambiguation (via context triple) batch_69c90098f65c8190a3130a8c1aad5e7b completed March 29, 2026, 10:36 a.m.
Created at: March 27, 2026, 3:50 p.m.