Triple

T14972419
Position Surface form Disambiguated ID Type / Status
Subject Tama River E373354 entity
Predicate tributary P415 FINISHED
Object Asakawa 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: Asakawa River | Statement: [Tama River, tributary, Asakawa River]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Asakawa River
Context triple: [Tama River, tributary, Asakawa River]
  • A. Asakawa River chosen
    Asakawa River is a river in Tokyo, Japan, that flows through the city of Hachiōji and serves as a local natural and recreational area.
  • B. Takano River
    The Takano River is a river in Kyoto, Japan, known for flowing through the northern part of the city and meeting the Kamo River near the historic Shimogamo Shrine.
  • C. Shukugawa River
    The Shukugawa River is a scenic river in Hyōgo Prefecture, Japan, famed for its cherry blossom-lined banks that attract many visitors during hanami season.
  • D. Enokawa River
    The Enokawa River is a river in western Japan that flows through Hiroshima Prefecture before joining the larger Ota River system.
  • E. 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.
  • 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_69d85ccbbcd48190acb56e7cf104d8ad completed April 10, 2026, 2:13 a.m.
NER Named-entity recognition batch_69ded6e767608190940eb6f16ea97451 completed April 15, 2026, 12:08 a.m.
Created at: April 10, 2026, 2:50 a.m.