Triple

T6252925
Position Surface form Disambiguated ID Type / Status
Subject Sussex Police E140090 entity
Predicate hasAbbreviation P43 FINISHED
Object Sussex Police E140090 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: Sussex Police | Statement: [Sussex Police, hasAbbreviation, Sussex Police]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Sussex Police
Context triple: [Sussex Police, hasAbbreviation, Sussex Police]
  • A. Sussex Police chosen
    Sussex Police is the territorial police force responsible for law enforcement and public safety across the counties of East and West Sussex in England.
  • B. Hampshire Constabulary
    Hampshire Constabulary is the territorial police force responsible for law enforcement and public safety across the county of Hampshire and the Isle of Wight in southern England.
  • C. Essex Police
    Essex Police is the territorial police force responsible for law enforcement and public safety across the county of Essex in England.
  • D. Suffolk Constabulary
    Suffolk Constabulary is the territorial police force responsible for law enforcement and public safety across the county of Suffolk in eastern England.
  • E. Surrey Police
    Surrey Police is the territorial police force responsible for law enforcement and public safety across the county of Surrey in South East England.
  • 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_69c008b4858c819095b0199114a9a87b completed March 22, 2026, 3:20 p.m.
NER Named-entity recognition batch_69c063417c8c8190945049881819d307 completed March 22, 2026, 9:46 p.m.
NED1 Entity disambiguation (via context triple) batch_69c2442a556081908b91e7d999a82514 completed March 24, 2026, 7:58 a.m.
Created at: March 22, 2026, 4:24 p.m.