Triple

T10278847
Position Surface form Disambiguated ID Type / Status
Subject Itabashi, Tokyo E241039 entity
Predicate hasRiver P165 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: [Itabashi, Tokyo, hasRiver, Arakawa River]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Arakawa River
Context triple: [Itabashi, Tokyo, hasRiver, 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. Asahi River
    The Asahi River is a major river in western Japan that flows through Okayama Prefecture before emptying into the Seto Inland Sea.
  • E. 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.
  • 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_69d381a94c1881908fc38fc263d9b9c2 completed April 6, 2026, 9:49 a.m.
NER Named-entity recognition batch_69d4d29fdf2c819099dd581deac08cf2 completed April 7, 2026, 9:47 a.m.
NED1 Entity disambiguation (via context triple) batch_69e5e877c6188190817fb30f2c9a07bf completed April 20, 2026, 8:48 a.m.
Created at: April 6, 2026, 11:38 a.m.