Triple

T8376132
Position Surface form Disambiguated ID Type / Status
Subject Jermyn Street E197580 entity
Predicate hasNearbyArea P4647 FINISHED
Object Regent Street E52433 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: Regent Street | Statement: [Jermyn Street, hasNearbyArea, Regent Street]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Regent Street
Context triple: [Jermyn Street, hasNearbyArea, Regent Street]
  • A. Regent Street chosen
    Regent Street is a major shopping and commercial thoroughfare in London’s West End, renowned for its elegant architecture and flagship retail stores.
  • B. Marylebone Road
    Marylebone Road is a major thoroughfare in central London, known for its heavy traffic and proximity to notable institutions and landmarks.
  • C. Tottenham Court Road
    Tottenham Court Road is a major shopping and entertainment street in central London, known for its electronics stores, proximity to the West End, and busy Underground station.
  • D. Gough Street
    Gough Street is a major north–south thoroughfare in San Francisco, California, running through neighborhoods such as Hayes Valley and connecting key parts of the city.
  • E. 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.
  • 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_69ca82f64c188190af4e1608036b865d completed March 30, 2026, 2:04 p.m.
NER Named-entity recognition batch_69cb80bf6b8081909b98762b1f900bef completed March 31, 2026, 8:07 a.m.
NED1 Entity disambiguation (via context triple) batch_69cea813e384819090a8a7dc05e41ab2 completed April 2, 2026, 5:32 p.m.
Created at: March 30, 2026, 6:01 p.m.