Triple

T11143043
Position Surface form Disambiguated ID Type / Status
Subject Yurakucho Station E263602 entity
Predicate serves P98 FINISHED
Object Ginza district E874731 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 district | Statement: [Yurakucho Station, serves, Ginza district]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Ginza district
Context triple: [Yurakucho Station, serves, Ginza district]
  • A. Ginza district chosen
    The Ginza district is a famous upscale area in central Tokyo known for its luxury shopping, high-end dining, and vibrant nightlife.
  • B. Nihonbashi district
    Nihonbashi district is a historic commercial and financial area in central Tokyo known for its traditional merchant roots and role as a major business hub.
  • C. Omotesando district
    Omotesando district is a fashionable Tokyo neighborhood known for its tree-lined avenue, high-end boutiques, modern architecture, and trendy cafes.
  • D. Nagatachō district
    Nagatachō district is Tokyo’s political center, housing key institutions such as the National Diet Building, the Prime Minister’s Office, and various government ministries.
  • 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_69d6aa9c0ba08190bbd19c217489b755 completed April 8, 2026, 7:21 p.m.
NER Named-entity recognition batch_69d7e8623158819096ad1678fa9e72bb completed April 9, 2026, 5:56 p.m.
NED1 Entity disambiguation (via context triple) batch_69e44215513481908909ce4289aabca6 completed April 19, 2026, 2:46 a.m.
Created at: April 8, 2026, 9:28 p.m.