Triple

T848478
Position Surface form Disambiguated ID Type / Status
Subject A3 road E18328 entity
Predicate passesThrough P225 FINISHED
Object Elmbridge E95873 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: Elmbridge | Statement: [A3 road, passesThrough, Elmbridge]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Elmbridge
Context triple: [A3 road, passesThrough, Elmbridge]
  • A. Elmbridge chosen
    Elmbridge is a local government district and borough in Surrey, England, known for its affluent suburban towns and proximity to London.
  • B. 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.
  • C. Banstead
    Banstead is a suburban town in southeast England known for its village-like high street and green spaces within the county of Surrey.
  • D. Bromley
    Bromley is a large suburban town in southeast London, England, known as a major commercial and retail centre within the London Borough of Bromley.
  • E. Hounslow
    Hounslow is a suburban district in West London known for its diverse community, major transport links, and proximity to Heathrow Airport.
  • 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_69a4938b04208190b82e1df6b572c548 completed March 1, 2026, 7:29 p.m.
NER Named-entity recognition batch_69a4ac1e41748190a21cd1ce5ebcb8ff completed March 1, 2026, 9:14 p.m.
NED1 Entity disambiguation (via context triple) batch_69aca2caba8c81908ef693677acbd4cc completed March 7, 2026, 10:12 p.m.
Created at: March 1, 2026, 7:38 p.m.