Triple

T23239760
Position Surface form Disambiguated ID Type / Status
Subject Bayes Business School E581403 entity
Predicate location P40 FINISHED
Object Islington, London NE NERFINISHED

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: Islington, London | Statement: [Bayes Business School, location, Islington, London]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Islington, London
Context triple: [Bayes Business School, location, Islington, London]
  • A. Islington, London, England chosen
    Islington, London, England is an inner-city district in North London known for its vibrant cultural scene, historic architecture, and proximity to the City of London.
  • B. Islington
    Islington is a vibrant inner London borough in England known for its dense urban character, cultural venues, and strong football heritage.
  • C. Islington
    Islington is a village within the town of Westwood, Massachusetts, known as one of its primary residential neighborhoods.
  • D. Islington, Liverpool
    Islington, Liverpool is an inner-city district of Liverpool, England, known for its major road junction and proximity to the city centre and Everton.
  • E. Stoke Newington
    Stoke Newington is a residential district in the London Borough of Hackney known for its independent shops, diverse community, and vibrant cultural scene.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (2 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_69e2460556f88190be1744a84a84173f completed April 17, 2026, 2:39 p.m.
NER Named-entity recognition batch_69f192ecc7e481908cac59df5c0deea1 completed April 29, 2026, 5:11 a.m.
Created at: April 17, 2026, 4:10 p.m.