Triple

T3321811
Position Surface form Disambiguated ID Type / Status
Subject Christopher Foyle E69811 entity
Predicate employer P7 FINISHED
Object Hastings 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: Hastings police | Statement: [Christopher Foyle, employer, Hastings police]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Hastings police
Context triple: [Christopher Foyle, employer, Hastings 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. Essex Police
    Essex Police is the territorial police force responsible for law enforcement and public safety across the county of Essex in England.
  • C. Suffolk Constabulary
    Suffolk Constabulary is the territorial police force responsible for law enforcement and public safety across the county of Suffolk in eastern England.
  • D. 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.
  • E. Kent Police
    Kent Police is the territorial police force responsible for law enforcement and public safety across the county of Kent 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_69ad85a1829881908942c14075644d0d completed March 8, 2026, 2:20 p.m.
NER Named-entity recognition batch_69adb13d13a88190828d9a03fd0865ce completed March 8, 2026, 5:26 p.m.
NED1 Entity disambiguation (via context triple) batch_69b31a7954248190b0c7b5d6ab3c6687 completed March 12, 2026, 7:56 p.m.
Created at: March 8, 2026, 3:11 p.m.