Triple

T10829717
Position Surface form Disambiguated ID Type / Status
Subject W1 postcode district E255584 entity
Predicate containsLandmark P1098 FINISHED
Object Savile Row E69780 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: Savile Row | Statement: [W1 postcode district, containsLandmark, Savile Row]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Savile Row
Context triple: [W1 postcode district, containsLandmark, Savile Row]
  • A. Savile Row chosen
    Savile Row is a famous street in London renowned as the historic home of traditional bespoke men’s tailoring.
  • B. Knightsbridge
    Knightsbridge is an affluent central London district renowned for its luxury shopping, upscale residences, and proximity to Hyde Park.
  • C. Earlscourt
    Earlscourt is a historic working-class neighbourhood in Toronto, Ontario, known for its early 20th-century immigrant communities, particularly Italian and British residents.
  • D. Jermyn Street
    Jermyn Street is a historic street in London’s St James’s district, renowned for its traditional gentlemen’s outfitters, shirtmakers, and classic British menswear shops.
  • E. Mulliner
    Mulliner is Bentley’s bespoke coachbuilding and personalization division, renowned for crafting highly customized, ultra-luxury versions of the brand’s vehicles.
  • 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_69d6aa8081448190a9324184f2bd1c26 completed April 8, 2026, 7:20 p.m.
NER Named-entity recognition batch_69d74420fa188190b5b3c59e1a9f551d completed April 9, 2026, 6:16 a.m.
NED1 Entity disambiguation (via context triple) batch_69de85a068b08190948c3ca32cdda147 completed April 14, 2026, 6:21 p.m.
Created at: April 8, 2026, 9:19 p.m.