Triple

T980883
Position Surface form Disambiguated ID Type / Status
Subject Kensington and Chelsea E21164 entity
Predicate contains P35 FINISHED
Object Knightsbridge (part) E77845 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: Knightsbridge (part) | Statement: [Kensington and Chelsea, contains, Knightsbridge (part)]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Knightsbridge (part)
Context triple: [Kensington and Chelsea, contains, Knightsbridge (part)]
  • A. Knightsbridge chosen
    Knightsbridge is an affluent central London district renowned for its luxury shopping, upscale residences, and proximity to Hyde Park.
  • B. Marylebone
    Marylebone is a central London district in the City of Westminster, known for its elegant Georgian architecture, upscale shopping streets, and cultural landmarks.
  • C. Berkeley Square
    Berkeley Square is a historic garden square in London’s affluent Mayfair district, known for its elegant Georgian architecture and plane trees.
  • D. New Bond Street
    New Bond Street is an exclusive shopping street in London’s West End, renowned for its luxury fashion boutiques, art galleries, and high-end jewelers.
  • 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_69a493c2b62c8190b616351789ec47f8 completed March 1, 2026, 7:30 p.m.
NER Named-entity recognition batch_69a4b47b58ec81908d95f151b9af3dae completed March 1, 2026, 9:49 p.m.
NED1 Entity disambiguation (via context triple) batch_69ac1ce14ffc8190b2d0a7915960ff89 completed March 7, 2026, 12:41 p.m.
Created at: March 1, 2026, 7:40 p.m.