Triple

T6781247
Position Surface form Disambiguated ID Type / Status
Subject Maison Hermès Tokyo E155685 entity
Predicate district P2709 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, district, Ginza]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Ginza
Context triple: [Maison Hermès Tokyo, district, 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. Nagatacho
    Nagatacho is a central district in Tokyo, Japan, known as the political heart of the country and home to key government institutions such as the National Diet Building.
  • D. 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.
  • E. 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.
  • 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_69c8d66fdb1c81909ca125e5918b0997 completed March 29, 2026, 7:36 a.m.
Created at: March 27, 2026, 2:14 p.m.