Triple

T19931351
Position Surface form Disambiguated ID Type / Status
Subject Haymarket E479060 entity
Predicate hasNearbyStreet P8235 FINISHED
Object Jermyn Street 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: Jermyn Street | Statement: [Haymarket, hasNearbyStreet, Jermyn Street]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Jermyn Street
Context triple: [Haymarket, hasNearbyStreet, Jermyn Street]
  • A. Jermyn Street chosen
    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.
  • B. New Bond Street
    New Bond Street is an exclusive shopping street in London’s West End, renowned for its luxury fashion boutiques, art galleries, and high-end jewelers.
  • C. Marylebone High Street
    Marylebone High Street is a prominent central London shopping street known for its mix of upscale boutiques, independent shops, cafés, and restaurants in the Marylebone district.
  • D. Old Bond Street
    Old Bond Street is an exclusive shopping street in London's West End, renowned for its luxury boutiques, art galleries, and high-end fashion houses.
  • E. 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.
  • 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_69d8e521855c8190b41871700afc8d6a completed April 10, 2026, 11:55 a.m.
NER Named-entity recognition batch_69e65a13ebc08190a583aa4c5e9f6648 completed April 20, 2026, 4:53 p.m.
Created at: April 10, 2026, 1:53 p.m.