Triple

T22752502
Position Surface form Disambiguated ID Type / Status
Subject Nunobiki River E562741 entity
Predicate flowsThrough P225 FINISHED
Object Chūō-ku, Kobe 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: Chūō-ku, Kobe | Statement: [Nunobiki River, flowsThrough, Chūō-ku, Kobe]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Chūō-ku, Kobe
Context triple: [Nunobiki River, flowsThrough, Chūō-ku, Kobe]
  • A. Chuo-ku, Kobe chosen
    Chuo-ku, Kobe is the central ward of Kobe, Japan, known as the city’s main commercial, administrative, and entertainment district.
  • B. Higashinada-ku, Kobe
    Higashinada-ku, Kobe is a coastal ward in eastern Kobe, Japan, known for its residential districts, sake breweries, and man-made islands such as Rokkō Island.
  • C. Hyogo-ku, Kobe
    Hyogo-ku, Kobe is one of the central wards of Kobe, Japan, known for its mix of residential districts, historic sites, and industrial waterfront areas.
  • D. Nagata-ku, Kobe
    Nagata-ku, Kobe is one of the wards of Kobe, Japan, known as a traditional working-class and industrial area with a significant history, including heavy damage in the 1995 Great Hanshin earthquake.
  • E. Tarumi-ku, Kobe
    Tarumi-ku, Kobe is a coastal ward in western Kobe, Japan, known for its residential areas, seaside views, and the Akashi Kaikyō Bridge.
  • 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_69e24551ec7881909a9c924dbea155f6 completed April 17, 2026, 2:36 p.m.
NER Named-entity recognition batch_69f179baa85881909140f41f2428cc98 completed April 29, 2026, 3:23 a.m.
Created at: April 17, 2026, 3:24 p.m.