Triple

T13890308
Position Surface form Disambiguated ID Type / Status
Subject Govia Thameslink Railway E333952 entity
Predicate servesRegion 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: [Govia Thameslink Railway, servesRegion, Surrey]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Surrey
Context triple: [Govia Thameslink Railway, servesRegion, 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, England
    Surrey, England is a county in South East England known for its affluent towns, leafy suburbs, and proximity to London.
  • E. 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.
  • 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_69d81c5dd2d48190b7a5fc1e009de936 completed April 9, 2026, 9:38 p.m.
NER Named-entity recognition batch_69de23a3a24881908d81d634622fbbcc completed April 14, 2026, 11:23 a.m.
NED1 Entity disambiguation (via context triple) batch_69f7c71a43908190bc7537f0a2379599 completed May 3, 2026, 10:07 p.m.
Created at: April 9, 2026, 10:15 p.m.