Triple

T10186139
Position Surface form Disambiguated ID Type / Status
Subject Crystal Palace E236912 entity
Predicate near P350 FINISHED
Object Anerley E242793 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: Anerley | Statement: [Crystal Palace, near, Anerley]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Anerley
Context triple: [Crystal Palace, near, Anerley]
  • A. Anerley chosen
    Anerley is a suburban district in the London Borough of Bromley in south London, known for its residential character and local transport links.
  • B. Camberwell
    Camberwell is a district in south London known for its diverse community, vibrant arts scene, and mix of historic and modern urban character.
  • C. Camberwell
    Camberwell is a small rural locality in the Singleton Shire of New South Wales, Australia, known for its coal mining and agricultural activities.
  • D. Selhurst
    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.
  • E. Snaresbrook
    Snaresbrook is a suburban area in East London known for its leafy residential streets, proximity to Epping Forest, and its Central line Underground station.
  • 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_69ca84d7260c8190bfbec36762943f37 completed March 30, 2026, 2:12 p.m.
NER Named-entity recognition batch_69cded790b488190b1ed4645554873cd completed April 2, 2026, 4:15 a.m.
NED1 Entity disambiguation (via context triple) batch_69d89f25c16c8190a17dc19e3e1b197a completed April 10, 2026, 6:56 a.m.
Created at: March 30, 2026, 9:12 p.m.