Triple

T3179218
Position Surface form Disambiguated ID Type / Status
Subject County of Surrey (Jamaica) E66538 entity
Predicate namedAfter P63 FINISHED
Object Surrey (England) E2921 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: Surrey (England) | Statement: [County of Surrey (Jamaica), namedAfter, Surrey (England)]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Surrey (England)
Context triple: [County of Surrey (Jamaica), namedAfter, Surrey (England)]
  • A. Surrey chosen
    Surrey is a county in southeast England known for its historic towns, affluent suburbs, and proximity to London.
  • B. Surrey
    Surrey is a large, rapidly growing city in the Metro Vancouver region of southwestern British Columbia, Canada.
  • C. Buckinghamshire
    Buckinghamshire is a ceremonial and non-metropolitan county in South East England, known for its historic towns, Chiltern Hills countryside, and proximity to London.
  • D. Surrey Heath
    Surrey Heath is a local government district and borough in Surrey, England, encompassing towns and villages such as Bagshot, Camberley, and Frimley.
  • E. Staines-upon-Thames
    Staines-upon-Thames is a riverside town in southeast England situated on the River Thames, known historically as a crossing point into London and now as a commuter and commercial center.
  • 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_69ad8586a34c8190944c63ec11a8de1a completed March 8, 2026, 2:19 p.m.
NER Named-entity recognition batch_69ada69db2088190baa1305892eb148a completed March 8, 2026, 4:41 p.m.
NED1 Entity disambiguation (via context triple) batch_69b2620b62f48190905812d0c0e9f85c completed March 12, 2026, 6:49 a.m.
Created at: March 8, 2026, 3:06 p.m.