Triple

T16836399
Position Surface form Disambiguated ID Type / Status
Subject Southern Region of British Railways E409292 entity
Predicate servedArea P82 FINISHED
Object 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: Surrey | Statement: [Southern Region of British Railways, servedArea, Surrey]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Surrey
Context triple: [Southern Region of British Railways, servedArea, 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. Surrey County
    Surrey County is a historic and predominantly suburban county in South East England, known for its affluent towns, extensive green spaces, and proximity to London.
  • D. Surrey County
    Surrey County is one of the historic counties of Jamaica, located on the eastern side of the island and encompassing parishes such as Portland, St. Thomas, and St. Mary.
  • E. Surrey, England
    Surrey, England is a county in South East England known for its affluent towns, leafy suburbs, and proximity to London.
  • 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_69d883952b048190887740a980b712ed completed April 10, 2026, 4:59 a.m.
NER Named-entity recognition batch_69e3b34d49d08190aa62f05d67244584 completed April 18, 2026, 4:37 p.m.
NED1 Entity disambiguation (via context triple) batch_6a00bb15c9f48190a4d73bb08a15beb4 completed May 10, 2026, 5:06 p.m.
Created at: April 10, 2026, 5:23 a.m.