Triple

T15395511
Position Surface form Disambiguated ID Type / Status
Subject Kingston, England E368166 entity
Predicate near P350 FINISHED
Object Surbiton E430118 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: Surbiton | Statement: [Kingston, England, near, Surbiton]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Surbiton
Context triple: [Kingston, England, near, Surbiton]
  • A. Surbiton chosen
    Surbiton is a suburban area in southwest London, England, known for its commuter links to central London and its leafy residential character.
  • B. Hounslow
    Hounslow is a suburban district in West London known for its diverse community, major transport links, and proximity to Heathrow Airport.
  • C. Teddington
    Teddington is a suburban town in southwest London, England, known for its riverside location on the Thames and proximity to several royal parks.
  • D. Weybridge
    Weybridge is a suburban town in southeast England known for its affluent residential areas and proximity to the River Thames and major transport links into London.
  • E. Purley
    Purley is a suburban town in South London known for its residential character and location within the London Borough of Croydon.
  • 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_69d85a16c68c819099c1b547fbc87b32 completed April 10, 2026, 2:01 a.m.
NER Named-entity recognition batch_69e03e8ac79081908ac79c0b3e7587ff completed April 16, 2026, 1:42 a.m.
NED1 Entity disambiguation (via context triple) batch_6a07b4d35f088190875264a509504dc7 completed May 16, 2026, 12:05 a.m.
Created at: April 10, 2026, 3:19 a.m.