Triple

T9723517
Position Surface form Disambiguated ID Type / Status
Subject Akasaka E235541 entity
Predicate near P350 FINISHED
Object Nagatachō E407568 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: Nagatachō | Statement: [Akasaka, near, Nagatachō]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Nagatachō
Context triple: [Akasaka, near, Nagatachō]
  • A. 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.
  • B. Nagatachō district chosen
    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.
  • C. Hamamatsucho
    Hamamatsucho is a central Tokyo district and major transportation hub known for its JR and monorail stations providing access to Haneda Airport and nearby business and waterfront areas.
  • 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. 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.
  • 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_69ca84d0123c819096f9dc3b6abb0881 completed March 30, 2026, 2:12 p.m.
NER Named-entity recognition batch_69cd9e77096481908ffd315fecb1d5ec completed April 1, 2026, 10:38 p.m.
NED1 Entity disambiguation (via context triple) batch_69d281a8e9b08190bcafaf409f83a152 completed April 5, 2026, 3:37 p.m.
Created at: March 30, 2026, 8:20 p.m.