Triple

T15941039
Position Surface form Disambiguated ID Type / Status
Subject Kita-ku, Osaka E386560 entity
Predicate contains P35 FINISHED
Object Nishi-Umeda E85815 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: Nishi-Umeda | Statement: [Kita-ku, Osaka, contains, Nishi-Umeda]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Nishi-Umeda
Context triple: [Kita-ku, Osaka, contains, Nishi-Umeda]
  • A. Umeda district chosen
    Umeda district is a major commercial and transportation hub in Osaka, Japan, known for its skyscrapers, shopping complexes, and extensive train and subway connections.
  • B. Osaka Namba
    Osaka Namba is a major railway station and commercial hub in central Osaka, Japan, serving multiple private rail lines and providing access to the bustling Namba entertainment and shopping district.
  • C. Motomachi
    Motomachi is a central commercial and entertainment district in Osaka known for its bustling shopping streets and proximity to major transport hubs.
  • D. Motomachi
    Motomachi is a historic commercial and shopping district in Kobe, Japan, known for its fashionable boutiques, cafes, and proximity to the city’s Chinatown and waterfront.
  • E. Motomachi
    Motomachi is a stylish shopping and entertainment district in Yokohama known for its fashionable boutiques, cafes, and Western-influenced atmosphere.
  • 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_69d86da750008190987eb26be3f6c118 completed April 10, 2026, 3:25 a.m.
NER Named-entity recognition batch_69e156cd3a188190a1a7dcbfdd38284c completed April 16, 2026, 9:38 p.m.
NED1 Entity disambiguation (via context triple) batch_6a01232399008190b23dfaec237563ef completed May 11, 2026, 12:30 a.m.
Created at: April 10, 2026, 4:53 a.m.