Triple

T5377466
Position Surface form Disambiguated ID Type / Status
Subject Sangiin E112996 entity
Predicate locatedInDistrict P40 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: [Sangiin, locatedInDistrict, Nagatachō]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Nagatachō
Context triple: [Sangiin, locatedInDistrict, Nagatachō]
  • A. 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.
  • B. 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.
  • C. 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.
  • D. Nihonbashi
    Nihonbashi is a historic commercial district in central Tokyo known for its iconic bridge, traditional merchants, and major financial and retail centers.
  • E. Motomachi
    Motomachi is a historic commercial and shopping district in Kobe, Japan, known for its fashionable boutiques, cafes, and proximity to the city’s Chinatown and waterfront.
  • 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_69bd4436a1988190af18dcff7fd306b4 completed March 20, 2026, 12:57 p.m.
NER Named-entity recognition batch_69bd86cb13ac81909dc364e7d3605844 completed March 20, 2026, 5:41 p.m.
NED1 Entity disambiguation (via context triple) batch_69c141085da88190bf5cd0a90914f929 completed March 23, 2026, 1:32 p.m.
Created at: March 20, 2026, 2:03 p.m.