Triple

T2866122
Position Surface form Disambiguated ID Type / Status
Subject Cavendish Hotel E63441 entity
Predicate nearby P350 FINISHED
Object Jermyn Street E197580 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: Jermyn Street | Statement: [Cavendish Hotel, nearby, Jermyn Street]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Jermyn Street
Context triple: [Cavendish Hotel, nearby, 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 (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_69ab4c42fb8c8190b36e161d47c03b81 completed March 6, 2026, 9:50 p.m.
NER Named-entity recognition batch_69abdfbb7ed4819096ca65391077e2af completed March 7, 2026, 8:20 a.m.
NED1 Entity disambiguation (via context triple) batch_69b12e0c57b481908726496e6c2fc395 completed March 11, 2026, 8:55 a.m.
Created at: March 6, 2026, 10:02 p.m.