Triple

T3669642
Position Surface form Disambiguated ID Type / Status
Subject Knightsbridge E77845 entity
Predicate hasShoppingArea P4285 FINISHED
Object Sloane Street E392051 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: Sloane Street | Statement: [Knightsbridge, hasShoppingArea, Sloane Street]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Sloane Street
Context triple: [Knightsbridge, hasShoppingArea, Sloane Street]
  • A. Sloane Street chosen
    Sloane Street is an affluent shopping street in London renowned for its luxury fashion boutiques and high-end retailers.
  • B. Wardour Street
    Wardour Street is a well-known street in London’s Soho district, historically associated with the film industry, music venues, and vibrant nightlife.
  • C. Shaftesbury Avenue
    Shaftesbury Avenue is a major road in London's West End, renowned as a central hub of the city's theatre district and entertainment scene.
  • D. Curzon Street
    Curzon Street is a prestigious street in London’s Mayfair district, known for its historic architecture, embassies, and exclusive residences.
  • E. Harley Street
    Harley Street is a central London street renowned for its high concentration of private medical and healthcare practices.
  • 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_69ad85e083008190b2e1b7085fe500bd completed March 8, 2026, 2:21 p.m.
NER Named-entity recognition batch_69adc42b3f94819091d51e488bc3f2f2 completed March 8, 2026, 6:47 p.m.
NED1 Entity disambiguation (via context triple) batch_69b5e4c189208190b387c2f504047a35 completed March 14, 2026, 10:44 p.m.
Created at: March 8, 2026, 3:25 p.m.