Triple

T2637586
Position Surface form Disambiguated ID Type / Status
Subject Penge Urban District E59784 entity
Predicate locatedNear P294 FINISHED
Object Beckenham E64122 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: Beckenham | Statement: [Penge Urban District, locatedNear, Beckenham]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Beckenham
Context triple: [Penge Urban District, locatedNear, Beckenham]
  • A. Beckenham chosen
    Beckenham is a suburban town in southeast London known for its residential character, green spaces, and commuter links into central London.
  • B. Westerham
    Westerham is a small historic town in Kent, England, known for its picturesque setting and associations with figures such as Winston Churchill.
  • C. Merstham
    Merstham is a village and suburb in Surrey, England, known for its historic centre and proximity to the town of Redhill.
  • D. Banstead
    Banstead is a suburban town in southeast England known for its village-like high street and green spaces within the county of Surrey.
  • E. 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.
  • 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_69ab4ac8596c8190b34997e73d9e991c completed March 6, 2026, 9:44 p.m.
NER Named-entity recognition batch_69abd8e3190081908ea828fe79569cc9 completed March 7, 2026, 7:50 a.m.
NED1 Entity disambiguation (via context triple) batch_69bdb8d89e248190a9cd92e9f61697f8 completed March 20, 2026, 9:15 p.m.
Created at: March 6, 2026, 9:50 p.m.