Triple

T16013836
Position Surface form Disambiguated ID Type / Status
Subject Shinbashi E388409 entity
Predicate near P350 FINISHED
Object Toranomon NE NERFINISHED

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: Toranomon | Statement: [Shinbashi, near, Toranomon]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Toranomon
Context triple: [Shinbashi, near, Toranomon]
  • A. Toranomon chosen
    Toranomon is a central business district in Tokyo known for its government offices, corporate headquarters, and proximity to major transport and commercial hubs.
  • B. Toranomon Hills
    Toranomon Hills is a major skyscraper and mixed-use urban development complex in Tokyo known for its offices, luxury hotel, residences, and retail facilities.
  • 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. 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. Toranomon district
    Toranomon district is a central business and commercial area in Tokyo known for its modern skyscrapers, government offices, and proximity to major transport and cultural sites.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (2 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_69d86dabcb7c8190b6a39d6831d2fa1b completed April 10, 2026, 3:25 a.m.
NER Named-entity recognition batch_69e18292b79881908efac869603c4029 completed April 17, 2026, 12:45 a.m.
Created at: April 10, 2026, 4:55 a.m.