Triple

T20793553
Position Surface form Disambiguated ID Type / Status
Subject Andy Crawford E511842 entity
Predicate employer P7 FINISHED
Object Dock Green police station — NE NERFINISHED

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: Dock Green police station | Statement: [Andy Crawford, employer, Dock Green police station]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Dock Green police station
Context triple: [Andy Crawford, employer, Dock Green police station]
  • A. Dock Green police station chosen
    Dock Green police station is the fictional East London police station featured in the long-running British television series "Dixon of Dock Green."
  • B. Paddington Green Police Station
    Paddington Green Police Station was a high-security police station in London known for holding terrorism suspects and other high-risk detainees.
  • C. Enfield Police Station
    Enfield Police Station is the main local law enforcement facility serving the community of Enfield Town in the London Borough of Enfield.
  • D. Catford Police Station
    Catford Police Station is a local law enforcement facility serving the Catford area in the London Borough of Lewisham.
  • E. Old Hill Street Police Station
    Old Hill Street Police Station is a historic former police station in Singapore’s Civic District, renowned for its distinctive neoclassical architecture and brightly colored window shutters.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (2 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_69e0b4cb83948190bd57bec21d78ed53 completed April 16, 2026, 10:07 a.m.
NER Named-entity recognition batch_69e6c2aadd7081908c6343821e8c655c completed April 21, 2026, 12:19 a.m.
Created at: April 16, 2026, 12:39 p.m.