Triple

T795225
Position Surface form Disambiguated ID Type / Status
Subject Lord Mandelson E17003 entity
Predicate workLocation P7 FINISHED
Object Westminster E14557 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: Westminster | Statement: [Lord Mandelson, workLocation, Westminster]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Westminster
Context triple: [Lord Mandelson, workLocation, Westminster]
  • A. 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.
  • B. City of Westminster chosen
    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.
  • C. City of London
    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.
  • D. London Victoria
    London Victoria is a major central London railway terminus and Underground station, serving as a key hub for commuter, regional, and Gatwick Airport services.
  • E. Kensington
    Kensington is a district in West London, England, known for its affluent residential areas, cultural institutions, and royal associations.
  • 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_69a49378b9c48190adbf5f62e5b7aca1 completed March 1, 2026, 7:28 p.m.
NER Named-entity recognition batch_69a4a7b04cd8819092e2fd7ba4df8672 completed March 1, 2026, 8:55 p.m.
NED1 Entity disambiguation (via context triple) batch_69ac1ccd40188190b5c4b9c3dc1f7554 completed March 7, 2026, 12:40 p.m.
Created at: March 1, 2026, 7:38 p.m.