Triple

T3433943
Position Surface form Disambiguated ID Type / Status
Subject Bond Street Underground station E72402 entity
Predicate near P350 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: [Bond Street Underground station, near, Mayfair]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Mayfair
Context triple: [Bond Street Underground station, near, 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_69ad85af50288190a854b76653deee6f completed March 8, 2026, 2:20 p.m.
NER Named-entity recognition batch_69adb9c1d9148190b873ba66d34d4f01 completed March 8, 2026, 6:02 p.m.
NED1 Entity disambiguation (via context triple) batch_69b373a2271081908816fbf6cac06975 completed March 13, 2026, 2:17 a.m.
Created at: March 8, 2026, 3:16 p.m.