Triple

T4696049
Position Surface form Disambiguated ID Type / Status
Subject Islington, London, England E104143 entity
Predicate hasNeighbourhood P4813 FINISHED
Object Canonbury E213041 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: Canonbury | Statement: [Islington, London, England, hasNeighbourhood, Canonbury]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Canonbury
Context triple: [Islington, London, England, hasNeighbourhood, Canonbury]
  • A. Canonbury chosen
    Canonbury is a largely residential district in the London Borough of Islington, known for its historic Georgian and Victorian architecture and literary associations.
  • B. Epping
    Epping is a market town in the Epping Forest district of Essex, England, known for its historic high street and proximity to the ancient Epping Forest.
  • C. Banstead
    Banstead is a suburban town in southeast England known for its village-like high street and green spaces within the county of Surrey.
  • D. Cheshunt
    Cheshunt is a town in Hertfordshire, England, situated just north of London and known as a commuter hub with rail links into the capital.
  • E. Loughton
    Loughton is a suburban town in southeast England known for its proximity to Epping Forest and its role as a commuter hub within the London metropolitan 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_69bd43df91f481908e9add1b617b60ef completed March 20, 2026, 12:55 p.m.
NER Named-entity recognition batch_69bd63b2eb708190962f460063615f9a completed March 20, 2026, 3:11 p.m.
NED1 Entity disambiguation (via context triple) batch_69be39dd7d9c8190912044c8616cf8a0 completed March 21, 2026, 6:25 a.m.
Created at: March 20, 2026, 1:17 p.m.