Triple

T11825741
Position Surface form Disambiguated ID Type / Status
Subject Caxton House E281255 entity
Predicate location P40 FINISHED
Object Tothill Street E344377 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: Tothill Street | Statement: [Caxton House, location, Tothill Street]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Tothill Street
Context triple: [Caxton House, location, Tothill Street]
  • A. Tothill Street chosen
    Tothill Street is a historic street in Westminster, central London, situated near the Houses of Parliament and notable government buildings.
  • B. Eccleston Street
    Eccleston Street is a road in central London’s Belgravia area, situated near Victoria and close to major landmarks such as Buckingham Palace.
  • C. Margaret Street
    Margaret Street is a fictional character from Toni Morrison’s novel "Tar Baby," representing complex themes of race, identity, and cultural dislocation.
  • D. Margaret Street
    Margaret Street is an individual known primarily as the spouse of Valerian Street.
  • E. Great Russell Street
    Great Russell Street is a central London thoroughfare in Bloomsbury best known as the location of the British Museum.
  • 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_69d6ab276f8c8190b1966a0ef11349ac completed April 8, 2026, 7:23 p.m.
NER Named-entity recognition batch_69d8a5eb299481909de3c0e85628fbe4 completed April 10, 2026, 7:25 a.m.
NED1 Entity disambiguation (via context triple) batch_69f739644ed48190896d7b2b6c3b5f8f completed May 3, 2026, 12:02 p.m.
Created at: April 8, 2026, 9:43 p.m.