Triple

T17737061
Position Surface form Disambiguated ID Type / Status
Subject Albemarle Street, London E442747 entity
Predicate locatedIn P40 FINISHED
Object Mayfair 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: Mayfair | Statement: [Albemarle Street, London, locatedIn, Mayfair]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Mayfair
Context triple: [Albemarle Street, London, locatedIn, Mayfair]
  • A. Mayfair
    Mayfair is a residential neighborhood located within the city of Homewood, Alabama.
  • B. Mayfair chosen
    Mayfair is an affluent central London district known for its luxury shops, exclusive residences, and prestigious hotels and restaurants.
  • C. Mayfair
    Mayfair is a residential neighborhood on Chicago’s Northwest Side known for its diverse community and proximity to major parks and transit routes.
  • D. Knightsbridge
    Knightsbridge is an affluent central London district renowned for its luxury shopping, upscale residences, and proximity to Hyde Park.
  • E. 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.
  • 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_69d8b9ed3a2081909b2ec0d4dd2f4c37 completed April 10, 2026, 8:50 a.m.
NER Named-entity recognition batch_69e478ec48988190a503f9aafeab6d23 completed April 19, 2026, 6:40 a.m.
Created at: April 10, 2026, 10:08 a.m.