Triple

T3179423
Position Surface form Disambiguated ID Type / Status
Subject Lyssons E66543 entity
Predicate partOf P40 FINISHED
Object County of Surrey 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: County of Surrey | Statement: [Lyssons, partOf, County of Surrey]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: County of Surrey
Context triple: [Lyssons, partOf, County of Surrey]
  • A. Surrey
    Surrey is a large, rapidly growing city in the Metro Vancouver region of southwestern British Columbia, Canada.
  • B. Surrey chosen
    Surrey is a county in southeast England known for its historic towns, affluent suburbs, and proximity to London.
  • C. Mid Sussex District
    Mid Sussex District is a local government district in West Sussex, England, encompassing towns such as Haywards Heath, Burgess Hill, and East Grinstead.
  • D. London Borough of Sutton
    The London Borough of Sutton is a suburban borough in south London, England, known for its residential character, green spaces, and strong local schools.
  • E. West Sussex
    West Sussex is a county in South East England known for its mix of coastal towns, rural countryside, and historic market settlements.
  • 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_69ada69f2d108190847922795e7b6687 completed March 8, 2026, 4:41 p.m.
NED1 Entity disambiguation (via context triple) batch_69b276f529008190bc22ca454bd5d76b completed March 12, 2026, 8:19 a.m.
Created at: March 8, 2026, 3:06 p.m.