Triple

T7767825
Position Surface form Disambiguated ID Type / Status
Subject Banstead Downs E178993 entity
Predicate nearestTown P350 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 Downs, nearestTown, Banstead]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Banstead
Context triple: [Banstead Downs, nearestTown, 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. Beddington
    Beddington is a suburban area in South London known for its historic village core, green spaces, and proximity to Croydon and central 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_69c69f30602c819082ab52cd4af5c592 completed March 27, 2026, 3:16 p.m.
NER Named-entity recognition batch_69c70435b7f88190a5e68e6ae701c58f completed March 27, 2026, 10:27 p.m.
NED1 Entity disambiguation (via context triple) batch_69cf51147c4c8190b3c893700f48fc54 completed April 3, 2026, 5:33 a.m.
Created at: March 27, 2026, 4:11 p.m.