Triple

T8727353
Position Surface form Disambiguated ID Type / Status
Subject Kita-Senju E207162 entity
Predicate hasShoppingArea P4285 FINISHED
Object LUMINE Kita-Senju E695227 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 Kita-Senju | Statement: [Kita-Senju, hasShoppingArea, LUMINE Kita-Senju]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: LUMINE Kita-Senju
Context triple: [Kita-Senju, hasShoppingArea, LUMINE Kita-Senju]
  • A. 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.
  • B. Kitasenju Lumine chosen
    Kitasenju Lumine is a shopping complex in the Kitasenju area of Tokyo that forms part of the Lumine chain of fashion-focused department stores.
  • C. Lumine Shinjuku 1
    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.
  • D. Lumine department store
    Lumine department store is a popular Japanese shopping complex chain known for its fashion, lifestyle, and dining offerings, particularly around major train hubs like Shinjuku.
  • E. Toshimaen
    Toshimaen was a historic amusement park in Tokyo, Japan, known for its classic rides, large swimming pool complex, and long-standing popularity with local families before its closure.
  • 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_69ca835811d8819081ea00fd2a2c9a1c completed March 30, 2026, 2:06 p.m.
NER Named-entity recognition batch_69cc5d16cba881908e2a14b60ae65524 completed March 31, 2026, 11:47 p.m.
NED1 Entity disambiguation (via context triple) batch_69cf291b737481909a90e482273c5f76 completed April 3, 2026, 2:42 a.m.
Created at: March 30, 2026, 6:37 p.m.