Triple

T6091000
Position Surface form Disambiguated ID Type / Status
Subject Blackwater Valley conurbation E135762 entity
Predicate containsTown P847 FINISHED
Object Frimley E28739 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: Frimley | Statement: [Blackwater Valley conurbation, containsTown, Frimley]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Frimley
Context triple: [Blackwater Valley conurbation, containsTown, Frimley]
  • A. Frimley chosen
    Frimley is a suburban town in southeast England that forms part of the Surrey Heath borough and lies within the county of Surrey.
  • B. Farnham
    Farnham is a historic market town in southern England known for its Georgian streets, medieval castle, and surrounding Surrey countryside.
  • C. Twyford
    Twyford is a village and civil parish in Berkshire, England, known as a commuter settlement between Reading and London.
  • D. Orsett
    Orsett is a village and civil parish in the borough of Thurrock in Essex, England, known for its historic church and traditional village green.
  • E. Limpsfield
    Limpsfield is a historic village and civil parish in Surrey, England, known for its picturesque countryside and traditional English character.
  • 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_69c0087bcc788190b20f093d3a6c60ec completed March 22, 2026, 3:19 p.m.
NER Named-entity recognition batch_69c057aa192081908619d3518d4efa7a completed March 22, 2026, 8:57 p.m.
NED1 Entity disambiguation (via context triple) batch_69c12531d764819083e1bb37d8c81a6c completed March 23, 2026, 11:34 a.m.
Created at: March 22, 2026, 4:12 p.m.