Triple

T11526906
Position Surface form Disambiguated ID Type / Status
Subject Apple Store Regent Street E273319 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: [Apple Store Regent Street, locatedIn, Regent Street]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Regent Street
Context triple: [Apple Store Regent Street, 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_69d6aae3fbec8190a14632a5df2538b6 completed April 8, 2026, 7:22 p.m.
NER Named-entity recognition batch_69d87fd379648190b342e0c4b4f685b7 completed April 10, 2026, 4:42 a.m.
NED1 Entity disambiguation (via context triple) batch_69f69b76e0cc8190aa7303347e0183d4 completed May 3, 2026, 12:48 a.m.
Created at: April 8, 2026, 9:37 p.m.