Triple

T23469696
Position Surface form Disambiguated ID Type / Status
Subject 中央区 E569191 entity
Predicate hasLandmark P105 FINISHED
Object 三越日本橋本店 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: 三越日本橋本店 | Statement: [中央区, hasLandmark, 三越日本橋本店]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: 三越日本橋本店
Context triple: [中央区, hasLandmark, 三越日本橋本店]
  • A. Takashimaya Nihonbashi store
    The Takashimaya Nihonbashi store is a flagship branch of the historic Takashimaya department store chain, renowned for its upscale shopping, traditional service, and prominent location in Tokyo’s Nihonbashi district.
  • B. Seibu Department Store
    Seibu Department Store is a major Japanese department store chain known for its upscale retail offerings and prominent urban locations.
  • C. Hayashi Department Store
    Hayashi Department Store is a historic Japanese-era department store in Tainan, Taiwan, renowned for its preserved architecture and role as a cultural and commercial landmark.
  • 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. Keikyū Department Store
    Keikyū Department Store is a Japanese retail department store chain associated with the Keikyū railway group, offering a wide range of consumer goods and services, often located near major train stations.
  • 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: 三越日本橋本店
Target entity description: 三越日本橋本店 is the flagship department store of the Mitsukoshi chain in Tokyo’s Nihonbashi district, renowned as one of Japan’s oldest and most prestigious retail establishments.
  • A. Takashimaya Nihonbashi store
    The Takashimaya Nihonbashi store is a flagship branch of the historic Takashimaya department store chain, renowned for its upscale shopping, traditional service, and prominent location in Tokyo’s Nihonbashi district.
  • B. Seibu Department Store
    Seibu Department Store is a major Japanese department store chain known for its upscale retail offerings and prominent urban locations.
  • C. Hayashi Department Store
    Hayashi Department Store is a historic Japanese-era department store in Tainan, Taiwan, renowned for its preserved architecture and role as a cultural and commercial landmark.
  • 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. Keikyū Department Store
    Keikyū Department Store is a Japanese retail department store chain associated with the Keikyū railway group, offering a wide range of consumer goods and services, often located near major train stations.
  • F. None of above. chosen

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_69e2458ebd808190b3298163132cfb0b completed April 17, 2026, 2:37 p.m.
NER Named-entity recognition batch_69f1a6feb5688190ad4ce42fc9590adb completed April 29, 2026, 6:36 a.m.
Created at: April 17, 2026, 5:54 p.m.