Triple

T16227670
Position Surface form Disambiguated ID Type / Status
Subject Taihaku-ku E393894 entity
Predicate contains P35 FINISHED
Object Natori 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: Natori River | Statement: [Taihaku-ku, contains, Natori River]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Natori River
Context triple: [Taihaku-ku, contains, Natori River]
  • A. Natori River chosen
    The Natori River is a significant river in Japan’s Tōhoku region that flows through Sendai before emptying into the Pacific Ocean.
  • B. Honami River
    Honami River is a local waterway flowing through Iizuka in Fukuoka Prefecture, Japan, contributing to the area's landscape and drainage system.
  • C. Shakujii River
    Shakujii River is a tributary of the Arakawa River flowing through western and northern Tokyo, known for its urban green corridors and riverside parks.
  • D. Tokko River
    The Tokko River is a tributary waterway in eastern Siberia, Russia, that feeds into the larger Olyokma River within the Lena River basin.
  • E. Naka River
    Naka River is a river in Japan known for lending its name to the Imperial Japanese Navy light cruiser Naka.
  • 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_69d87f204df88190a8f88923decf9835 completed April 10, 2026, 4:40 a.m.
NER Named-entity recognition batch_69e23d2785f88190ae80d5d61129d3e5 completed April 17, 2026, 2:01 p.m.
Created at: April 10, 2026, 5:03 a.m.