Triple

T19793086
Position Surface form Disambiguated ID Type / Status
Subject Matsuzakaya Nagoya E475467 entity
Predicate partOf P40 FINISHED
Object Matsuzakaya department store chain NE NERFINISHED

How this triple was built (3 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: Matsuzakaya department store chain | Statement: [Matsuzakaya Nagoya, partOf, Matsuzakaya department store chain]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Matsuzakaya department store chain
Context triple: [Matsuzakaya Nagoya, partOf, Matsuzakaya department store chain]
  • A. Odakyu department store
    Odakyu department store is a major Japanese department store chain best known for its large flagship store complex in Tokyo’s Shinjuku district.
  • B. Keihan Department Stores
    Keihan Department Stores is a Japanese retail chain operating department stores primarily in the Kansai region, offering a wide range of fashion, lifestyle, and household goods.
  • C. Marui department stores
    Marui department stores is a Japanese retail chain known for its fashion-focused department stores and shopping complexes, particularly in Tokyo.
  • D. Matsuzakaya Ginza department store
    Matsuzakaya Ginza department store was a long-standing, traditional Japanese department store in Tokyo’s upscale Ginza district, known for its fashion, luxury goods, and role as a local retail landmark before its redevelopment.
  • E. Daimaru
    Daimaru is a major Japanese department store chain known for its upscale retail offerings and long-established presence in Japan’s urban shopping districts.
  • F. None of above. chosen
  • G. Unsure - the case is ambiguous/there is not enough information to decide.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Matsuzakaya department store chain
Target entity description: The Matsuzakaya department store chain is a long-established Japanese retail group known for its large, upscale department stores, particularly in major cities such as Nagoya and Tokyo.
  • A. Odakyu department store
    Odakyu department store is a major Japanese department store chain best known for its large flagship store complex in Tokyo’s Shinjuku district.
  • B. Keihan Department Stores
    Keihan Department Stores is a Japanese retail chain operating department stores primarily in the Kansai region, offering a wide range of fashion, lifestyle, and household goods.
  • C. Marui department stores
    Marui department stores is a Japanese retail chain known for its fashion-focused department stores and shopping complexes, particularly in Tokyo.
  • D. Matsuzakaya Ginza department store chosen
    Matsuzakaya Ginza department store was a long-standing, traditional Japanese department store in Tokyo’s upscale Ginza district, known for its fashion, luxury goods, and role as a local retail landmark before its redevelopment.
  • E. Daimaru
    Daimaru is a major Japanese department store chain known for its upscale retail offerings and long-established presence in Japan’s urban shopping districts.
  • F. None of above.

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_69d8e51b014081908b263e167370529a completed April 10, 2026, 11:55 a.m.
NER Named-entity recognition batch_69e653c4a8a88190afc2f2cd1ebbbe1e completed April 20, 2026, 4:26 p.m.
Created at: April 10, 2026, 1:49 p.m.