Triple

T6252937
Position Surface form Disambiguated ID Type / Status
Subject Sussex Police E140090 entity
Predicate hasPoliceAndCrimeCommissionerArea P63054 FINISHED
Object Sussex E361007 NE FINISHED

How this triple was built (3 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 | Statement: [Sussex Police, hasPoliceAndCrimeCommissionerArea, Sussex]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Sussex
Context triple: [Sussex Police, hasPoliceAndCrimeCommissionerArea, Sussex]
  • A. Sussex
    Sussex is a traditional British dual-purpose chicken breed valued for both its meat and egg production.
  • B. Sussex chosen
    Sussex is a historic county in South East England, known for its coastal resorts, rolling South Downs, and rich medieval and maritime heritage.
  • C. East Sussex
    East Sussex is a county in South East England known for its English Channel coastline, the South Downs, and historic towns such as Hastings and Lewes.
  • D. West Sussex
    West Sussex is a county in South East England known for its mix of coastal towns, rural countryside, and historic market settlements.
  • E. Essex
    Essex is a county in the east of England, known for its mix of rural landscapes, historic towns, and proximity to London.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: hasPoliceAndCrimeCommissionerArea
Context triple: [Sussex Police, hasPoliceAndCrimeCommissionerArea, Sussex]
  • A. policeAndCrimeCommissionerArea chosen
    Indicates the geographic area over which a specific Police and Crime Commissioner has authority or jurisdiction.
  • B. policeAndCrimeCommissioner
    Indicates that an entity serves in the official role of Police and Crime Commissioner for a specified jurisdiction or area.
  • C. hasPoliceDistrict
    Indicates that an entity falls under the jurisdiction or coverage area of a specific police district.
  • D. localAuthorityArea
    Indicates that one entity is a geographic or administrative area governed or managed by a specified local authority.
  • E. hasBoroughCouncil
    Indicates that an administrative area is governed or overseen by a specific borough council.
  • F. None of above.

Provenance (4 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_69c6caf09b408190b1133afa52668bfe completed March 27, 2026, 6:22 p.m.
PD Predicate disambiguation batch_69c05605566c81908e197f5accd072d2 completed March 22, 2026, 8:50 p.m.
Created at: March 22, 2026, 4:24 p.m.