Triple

T6781219
Position Surface form Disambiguated ID Type / Status
Subject Maison Hermès Tokyo E155685 entity
Predicate locatedIn P40 FINISHED
Object Ginza E71727 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: Ginza | Statement: [Maison Hermès Tokyo, locatedIn, Ginza]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Ginza
Context triple: [Maison Hermès Tokyo, locatedIn, Ginza]
  • A. Ginza chosen
    Ginza is a famous upscale shopping, dining, and entertainment district in central Tokyo known for its luxury boutiques, department stores, and vibrant nightlife.
  • B. Otemachi
    Otemachi is a major business district in central Tokyo known for its concentration of corporate headquarters, financial institutions, and proximity to the Imperial Palace.
  • C. Shinbashi
    Shinbashi is a historic commercial and entertainment district in central Tokyo known as a major business hub and gateway between the Ginza area and the Shiodome skyscraper complex.
  • D. Kyobashi commercial district
    The Kyobashi commercial district is a bustling business and shopping area in central Tokyo known for its mix of modern office buildings, retail stores, and dining options between Tokyo and Ginza.
  • E. Toranomon
    Toranomon is a central business district in Tokyo known for its government offices, corporate headquarters, and proximity to major transport and commercial hubs.
  • 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_69c688162bf8819088b664b5c3b5be7a completed March 27, 2026, 1:37 p.m.
NER Named-entity recognition batch_69c6d26c621c8190a6eddc0d395e13e4 completed March 27, 2026, 6:54 p.m.
NED1 Entity disambiguation (via context triple) batch_69c8be0bdd2881909b5bea69765d696f completed March 29, 2026, 5:52 a.m.
Created at: March 27, 2026, 2:14 p.m.