Triple

T21792235
Position Surface form Disambiguated ID Type / Status
Subject South Kensington E537998 entity
Predicate adjacentTo P224 FINISHED
Object Knightsbridge 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: Knightsbridge | Statement: [South Kensington, adjacentTo, Knightsbridge]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Knightsbridge
Context triple: [South Kensington, adjacentTo, Knightsbridge]
  • A. Knightsbridge chosen
    Knightsbridge is an affluent central London district renowned for its luxury shopping, upscale residences, and proximity to Hyde Park.
  • B. Sloane Square
    Sloane Square is a prominent public square and transport hub in central London, known for its upscale shops, theatres, and proximity to the fashionable Chelsea district.
  • C. Old Kensington
    Old Kensington is a 19th-century novel by Anne Isabella Thackeray Ritchie that offers a gently satirical and nostalgic portrayal of Victorian middle-class life in London.
  • D. Mayfair
    Mayfair is a residential neighborhood in Northeast Philadelphia known for its rowhouses, commercial corridors, and strong working- and middle-class community character.
  • E. Mayfair
    Mayfair is a residential neighborhood in Northeast Washington, D.C., known for its proximity to the Anacostia River and its mix of rowhouses and apartment complexes.
  • 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_69e0c47198f881908cb0d237266c10e9 completed April 16, 2026, 11:13 a.m.
NER Named-entity recognition batch_69f06220bbe0819091cf3b41aa788cc3 completed April 28, 2026, 7:30 a.m.
Created at: April 16, 2026, 6:52 p.m.