Triple

T15698757
Position Surface form Disambiguated ID Type / Status
Subject London Coliseum E380536 entity
Predicate location P40 FINISHED
Object St Martin's Lane E525457 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: St Martin's Lane | Statement: [London Coliseum, location, St Martin's Lane]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: St Martin's Lane
Context triple: [London Coliseum, location, St Martin's Lane]
  • A. St Martin’s Lane chosen
    St Martin’s Lane is a historic street in London’s West End known for its theatres, arts venues, and proximity to Trafalgar Square and Covent Garden.
  • B. Thurloe Street
    Thurloe Street is a street in South Kensington, London, known for its proximity to major museums and its entrance to South Kensington Underground station.
  • C. Abingdon Street
    Abingdon Street is a road in Westminster, London, running near the Houses of Parliament and forming part of the area around Parliament Square.
  • D. Magdalen Street
    Magdalen Street is a central street in Oxford, England, known for its shops, historic buildings, and proximity to major city landmarks.
  • E. Sidney Street
    Sidney Street is a central thoroughfare in Cambridge, England, known for its mix of shops, eateries, and historic urban character near the city’s market area.
  • 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_69d86d99e860819094b6957cde470f2c completed April 10, 2026, 3:25 a.m.
NER Named-entity recognition batch_69e04f6c3328819081325b702ca92862 completed April 16, 2026, 2:54 a.m.
NED1 Entity disambiguation (via context triple) batch_6a00758380d08190bfe73d3e052c1f0a completed May 10, 2026, 12:09 p.m.
Created at: April 10, 2026, 4:44 a.m.