Triple

T22005523
Position Surface form Disambiguated ID Type / Status
Subject Borough E543441 entity
Predicate near P350 FINISHED
Object City of London 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: City of London | Statement: [Borough, near, City of London]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: City of London
Context triple: [Borough, near, City of London]
  • A. City of London chosen
    The City of London is the historic and financial core of Greater London, renowned as one of the world’s leading global finance and business centers.
  • B. Westminster
    Westminster is a small New England town in northern Massachusetts known for its rural character, historic charm, and proximity to the Wachusett Mountain area.
  • C. Westminster
    Westminster is a small city in Oconee County, South Carolina, known for its historic downtown and annual cultural festivals.
  • D. Westminster
    Westminster is a central district of London that serves as the political heart of the United Kingdom, housing key institutions such as the Houses of Parliament and Westminster Abbey.
  • E. Westminster
    Westminster is a city in Orange County, California, known for its large Vietnamese-American community and vibrant Little Saigon district.
  • 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_69e11e2db934819095556760c7d85e4d completed April 16, 2026, 5:36 p.m.
NER Named-entity recognition batch_69f127a0afa881908318a4ebe211ca28 completed April 28, 2026, 9:33 p.m.
Created at: April 16, 2026, 8:21 p.m.