Triple

T5786676
Position Surface form Disambiguated ID Type / Status
Subject Santander Cycles E128283 entity
Predicate cityServed P82 FINISHED
Object City of London E19087 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: City of London | Statement: [Santander Cycles, cityServed, City of London]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: City of London
Context triple: [Santander Cycles, cityServed, 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 city in northern Maryland that serves as the county seat of Carroll County and a regional hub for the surrounding communities.
  • C. Westminster
    Westminster is a city in Orange County, California, known for its large Vietnamese-American community and vibrant Little Saigon district.
  • D. Westminster
    Westminster is a suburban city in the Denver metropolitan area of Colorado, known for its residential communities, parks, and proximity to the Rocky Mountains.
  • E. City of Westminster
    The City of Westminster is a central London borough that serves as the political and ceremonial heart of the United Kingdom, encompassing landmarks such as the Houses of Parliament, Buckingham Palace, and major government institutions.
  • 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_69c0084450048190bc647b649a05136b completed March 22, 2026, 3:18 p.m.
NER Named-entity recognition batch_69c02a1c29d48190af36cc855bb491dd completed March 22, 2026, 5:42 p.m.
NED1 Entity disambiguation (via context triple) batch_69c0e349d0088190be108aa266d3af82 completed March 23, 2026, 6:52 a.m.
Created at: March 22, 2026, 3:51 p.m.