Triple

T14067892
Position Surface form Disambiguated ID Type / Status
Subject Thornton Heath E338523 entity
Predicate hasNearbyArea P4647 FINISHED
Object Norbury E327647 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: Norbury | Statement: [Thornton Heath, hasNearbyArea, Norbury]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Norbury
Context triple: [Thornton Heath, hasNearbyArea, Norbury]
  • A. Norbury chosen
    Norbury is a suburban district in south London known for its residential character, diverse community, and good transport links into central London.
  • B. Norbury
    Norbury is a rural English village known for its scenic location along the Shropshire Union Canal and surrounding countryside.
  • C. Norbury Park
    Norbury Park is a historic country estate and public park in Surrey, England, known for its woodlands, riverside scenery, and extensive walking and cycling trails.
  • D. Oldbury
    Oldbury is a town in the West Midlands of England that serves as the administrative centre of the Metropolitan Borough of Sandwell.
  • E. Wanborough
    Wanborough is a historic rural village and civil parish in Wiltshire, England, situated near the town of Swindon.
  • 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_69d81c67ba6c819091935650dfb3b895 completed April 9, 2026, 9:38 p.m.
NER Named-entity recognition batch_69de568b81f08190a571004261c0e8e4 completed April 14, 2026, 3 p.m.
NED1 Entity disambiguation (via context triple) batch_69fcb66aeff8819088239226bbe25fd5 completed May 7, 2026, 3:57 p.m.
Created at: April 9, 2026, 10:21 p.m.