Triple

T3115368
Position Surface form Disambiguated ID Type / Status
Subject London Borough of Croydon E65049 entity
Predicate contains P35 FINISHED
Object Selsdon E501091 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: Selsdon | Statement: [London Borough of Croydon, contains, Selsdon]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Selsdon
Context triple: [London Borough of Croydon, contains, Selsdon]
  • A. 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.
  • 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. Purley chosen
    Purley is a suburban town in South London known for its residential character and location within the London Borough of Croydon.
  • 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. Beckenham
    Beckenham is a suburban town in southeast London known for its residential character, green spaces, and commuter links into 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_69ad857fcc088190b0c4d45a5cde6f61 completed March 8, 2026, 2:19 p.m.
NER Named-entity recognition batch_69ada4e40bc48190b9b17c706a2450d5 completed March 8, 2026, 4:33 p.m.
NED1 Entity disambiguation (via context triple) batch_69beef70e6048190b0e5659a59634d5d completed March 21, 2026, 7:20 p.m.
Created at: March 8, 2026, 3:04 p.m.