Triple

T22533756
Position Surface form Disambiguated ID Type / Status
Subject Embassy of Japan in London E557106 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: [Embassy of Japan in London, locatedIn, Mayfair]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Mayfair
Context triple: [Embassy of Japan in 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 in Northeast Philadelphia known for its rowhouses, commercial corridors, and strong working- and middle-class community character.
  • D. Mayfair
    Mayfair is a residential neighborhood on Chicago’s Northwest Side known for its diverse community and proximity to major parks and transit routes.
  • 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_69e11e57483c8190b0887c4f8ff26446 completed April 16, 2026, 5:37 p.m.
NER Named-entity recognition batch_69f15ed952f48190b63225e7de131679 completed April 29, 2026, 1:28 a.m.
Created at: April 16, 2026, 8:51 p.m.