Triple

T10063402
Position Surface form Disambiguated ID Type / Status
Subject Canonbury E213041 entity
Predicate partOf P40 FINISHED
Object Islington E391232 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: Islington | Statement: [Canonbury, partOf, Islington]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Islington
Context triple: [Canonbury, partOf, Islington]
  • A. Islington chosen
    Islington is a vibrant inner London borough in England known for its dense urban character, cultural venues, and strong football heritage.
  • B. Islington
    Islington is a village within the town of Westwood, Massachusetts, known as one of its primary residential neighborhoods.
  • C. Finsbury
    Finsbury is an inner-city district of central London, historically part of the London Borough of Islington and known for its dense urban character and proximity to the City of London.
  • D. Redbridge
    Redbridge is a borough in northeast London, England, known for its suburban character, green spaces, and diverse communities.
  • E. Highbury & Islington
    Highbury & Islington is a major London transport hub in Islington served by London Underground, London Overground, and National Rail services.
  • 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_69ca83977128819084084eb7d1d8c52a completed March 30, 2026, 2:07 p.m.
NER Named-entity recognition batch_69cdcfd4e4ac8190a37061b4082caa48 completed April 2, 2026, 2:09 a.m.
NED1 Entity disambiguation (via context triple) batch_69dff74d59f88190bbd975521b16ae49 completed April 15, 2026, 8:38 p.m.
Created at: March 30, 2026, 8:58 p.m.