Triple

T7824430
Position Surface form Disambiguated ID Type / Status
Subject Lumine department store E181210 entity
Predicate hasLocation P40 FINISHED
Object Lumine EST Shinjuku E695228 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: Lumine EST Shinjuku | Statement: [Lumine department store, hasLocation, Lumine EST Shinjuku]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Lumine EST Shinjuku
Context triple: [Lumine department store, hasLocation, Lumine EST Shinjuku]
  • A. Lumine Shinjuku 1 chosen
    Lumine Shinjuku 1 is a major fashion-focused shopping complex in Tokyo’s Shinjuku district, featuring a wide range of trendy apparel, lifestyle goods, and dining options.
  • B. Lumine Ikebukuro
    Lumine Ikebukuro is a popular multi-story shopping complex in Tokyo’s Ikebukuro district, featuring a wide range of fashion, lifestyle, and dining options.
  • C. Kitasenju Lumine
    Kitasenju Lumine is a shopping complex in the Kitasenju area of Tokyo that forms part of the Lumine chain of fashion-focused department stores.
  • D. Lumine
    Lumine is a Japanese chain of fashionable urban department stores known for trendy apparel, lifestyle goods, and youth-oriented shopping complexes, especially around major train hubs.
  • E. Lumo
    Lumo is a British open-access train operator running low-cost, long-distance electric services on the East Coast Main Line between London and northeastern England.
  • 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_69ca8282ccec819083c48efb72d21cf9 completed March 30, 2026, 2:02 p.m.
NER Named-entity recognition batch_69cafa0c1f5c8190b16db20daad159a1 completed March 30, 2026, 10:32 p.m.
NED1 Entity disambiguation (via context triple) batch_69cbdee0fddc819086a5736f1a709865 completed March 31, 2026, 2:49 p.m.
Created at: March 30, 2026, 4:42 p.m.