Triple

T2551983
Position Surface form Disambiguated ID Type / Status
Subject Great Marlborough Street, London E56646 entity
Predicate hasNearbyArea P4647 FINISHED
Object Mayfair E11937 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: Mayfair | Statement: [Great Marlborough Street, London, hasNearbyArea, Mayfair]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Mayfair
Context triple: [Great Marlborough Street, London, hasNearbyArea, Mayfair]
  • A. Mayfair
    Mayfair is a residential neighborhood located within the city of Homewood, Alabama.
  • B. Knightsbridge
    Knightsbridge is an affluent central London district renowned for its luxury shopping, upscale residences, and proximity to Hyde Park.
  • C. Mayfair neighborhood
    The Mayfair neighborhood is a predominantly residential area in Northeast Philadelphia known for its rowhomes, strong community identity, and commercial corridor along Frankford Avenue.
  • D. Mayfair, London, England chosen
    Mayfair, London, England is an affluent central London district known for its luxury residences, exclusive shops, and prestigious hotels and clubs.
  • E. 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.
  • 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_69ab4a4bfec081908039988ec4c86e28 completed March 6, 2026, 9:42 p.m.
NER Named-entity recognition batch_69abd30a91348190aea0dbd1efb6f8cc completed March 7, 2026, 7:26 a.m.
NED1 Entity disambiguation (via context triple) batch_69af5d14a58c819094250ee393f95a37 completed March 9, 2026, 11:51 p.m.
Created at: March 6, 2026, 9:48 p.m.