Triple

T16520517
Position Surface form Disambiguated ID Type / Status
Subject Umeda Arts Theater E401305 entity
Predicate locatedIn P40 FINISHED
Object Umeda NE ONNED1

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: Umeda | Statement: [Umeda Arts Theater, locatedIn, Umeda]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Umeda
Context triple: [Umeda Arts Theater, locatedIn, Umeda]
  • A. 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.
  • B. Shinsaibashi
    Shinsaibashi is a major shopping and entertainment district in central Osaka, Japan, known for its covered arcade, fashion boutiques, and vibrant nightlife.
  • C. Umeda district
    Umeda district is a major commercial and transportation hub in Osaka, Japan, known for its skyscrapers, shopping complexes, and extensive train and subway connections.
  • D. Umeda, Osaka chosen
    Umeda, Osaka is a major commercial and transportation district in Osaka, Japan, known for its dense cluster of department stores, office towers, and railway terminals.
  • E. Dotonbori
    Dotonbori is a famous entertainment and nightlife district in Osaka, Japan, known for its neon billboards, street food, and canal-side 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_69d883838abc8190bc79cb2d41733ce2 completed April 10, 2026, 4:58 a.m.
NER Named-entity recognition batch_69e32e7f8a1481909fe6b3c16a72059b completed April 18, 2026, 7:10 a.m.
NED1 Entity disambiguation (via context triple) batch_6a01953eaa6c819091f7d63a1e3e7070 in_progress May 11, 2026, 8:37 a.m.
Created at: April 10, 2026, 5:14 a.m.