Triple

T15094153
Position Surface form Disambiguated ID Type / Status
Subject Regent Street shopping district E360494 entity
Predicate locatedIn P40 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: [Regent Street shopping district, locatedIn, Regent Street]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Regent Street
Context triple: [Regent Street shopping district, locatedIn, 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. Mortimer Street
    Mortimer Street is a central London street in the Fitzrovia area, known for its mix of historic and modern buildings, offices, and medical facilities.
  • C. Holborn Road
    Holborn Road is a major commercial street in New Kingston, Jamaica, known for its offices, hotels, and proximity to key business and shopping areas.
  • D. Marylebone Road
    Marylebone Road is a major thoroughfare in central London, known for its heavy traffic and proximity to notable institutions and landmarks.
  • E. 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.
  • 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_69d85a035aa88190b52a139d3a1b7b6d completed April 10, 2026, 2:01 a.m.
NER Named-entity recognition batch_69e0054571a48190a57055c0d6e90f82 completed April 15, 2026, 9:38 p.m.
NED1 Entity disambiguation (via context triple) batch_6a00c28d1e1c81909e869f01659ec233 completed May 10, 2026, 5:38 p.m.
Created at: April 10, 2026, 3:04 a.m.