Triple

T6580810
Position Surface form Disambiguated ID Type / Status
Subject Banstead railway station E157290 entity
Predicate serves P98 FINISHED
Object Banstead E29183 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: Banstead | Statement: [Banstead railway station, serves, Banstead]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Banstead
Context triple: [Banstead railway station, serves, Banstead]
  • A. Banstead chosen
    Banstead is a suburban town in southeast England known for its village-like high street and green spaces within the county of Surrey.
  • B. Beckenham
    Beckenham is a suburban town in southeast London known for its residential character, green spaces, and commuter links into central London.
  • C. Oxted
    Oxted is a commuter town in southeast England known for its proximity to London and location at the foot of the North Downs.
  • D. Burgess Hill
    Burgess Hill is a town in southeastern England known as a commuter hub with residential areas and light industry, situated within the county of West Sussex.
  • E. 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.
  • 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_69c6882b3a108190b3a9eb343ae4162c completed March 27, 2026, 1:37 p.m.
NER Named-entity recognition batch_69c6ae90c1b081908f851bff1dd19855 completed March 27, 2026, 4:21 p.m.
NED1 Entity disambiguation (via context triple) batch_69c9765b3c5081908c3114271b5d3e15 completed March 29, 2026, 6:58 p.m.
Created at: March 27, 2026, 1:54 p.m.