Triple

T2814296
Position Surface form Disambiguated ID Type / Status
Subject Kantō region E54245 entity
Predicate containsMajorRiver 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: [Kantō region, containsMajorRiver, Arakawa River]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Arakawa River
Context triple: [Kantō region, containsMajorRiver, 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. 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.
  • C. 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.
  • D. Okano River
    The Okano River is a significant river in Gabon that serves as one of the principal tributaries feeding the Ogooué River system.
  • E. Mukogawa River
    The Mukogawa River is a prominent river in Japan’s Hyōgo Prefecture that flows through cities such as Nishinomiya 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_69ab49de0af08190b3da69683be1e728 completed March 6, 2026, 9:40 p.m.
NER Named-entity recognition batch_69abde4ba34c819085a336498fc326b0 completed March 7, 2026, 8:14 a.m.
NED1 Entity disambiguation (via context triple) batch_69b4e4c13494819095821f44916329c9 completed March 14, 2026, 4:32 a.m.
Created at: March 6, 2026, 9:59 p.m.