Triple

T13075547
Position Surface form Disambiguated ID Type / Status
Subject Croydon North E329562 entity
Predicate containsArea P11790 FINISHED
Object Selhurst E642490 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: Selhurst | Statement: [Croydon North, containsArea, Selhurst]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Selhurst
Context triple: [Croydon North, containsArea, Selhurst]
  • A. Selhurst chosen
    Selhurst is a residential district in the London Borough of Croydon, best known for being home to Crystal Palace Football Club’s stadium, Selhurst Park.
  • B. Surbiton
    Surbiton is a suburban area in southwest London, England, known for its commuter links to central London and its leafy residential character.
  • C. Wood Green
    Wood Green is a busy urban district and major shopping and transport hub in the London Borough of Haringey in north London.
  • D. Buckhurst Hill
    Buckhurst Hill is a suburban town in Essex, England, situated on the edge of Epping Forest and forming part of the London commuter belt.
  • E. Kentish Town
    Kentish Town is a residential and commercial district in north London known for its vibrant high street, music venues, and proximity to 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_69d80771749c81909a6d9197b9504872 completed April 9, 2026, 8:09 p.m.
NER Named-entity recognition batch_69d98117209081908272021013df2222 completed April 10, 2026, 11 p.m.
NED1 Entity disambiguation (via context triple) batch_6a006065741c8190ad4ceb6bd3d60f9f completed May 10, 2026, 10:39 a.m.
Created at: April 9, 2026, 9:01 p.m.