Triple

T28113423
Position Surface form Disambiguated ID Type / Status
Subject Special Task Force (South African Police Service) E710553 entity
Predicate lawEnforcementAgencyOf P67243 FINISHED
Object South Africa 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: South Africa | Statement: [Special Task Force (South African Police Service), lawEnforcementAgencyOf, South Africa]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: lawEnforcementAgencyOf
Context triple: [Special Task Force (South African Police Service), lawEnforcementAgencyOf, South Africa]
  • A. lawEnforcementOrganization
    Indicates that the subject is an organization whose primary role is to enforce laws and maintain public order.
  • B. enforcementAgency
    Indicates that one entity serves as the authority responsible for enforcing laws, rules, or regulations related to another entity.
  • C. stateAgencyOf
    Indicates that one entity is a governmental agency that operates under the authority or jurisdiction of a particular state.
  • D. policeBureau chosen
    Indicates that an entity functions as or is associated with a police bureau or police department.
  • E. lawEnforcementLabel
    Indicates that an entity has been designated, tagged, or classified by a law enforcement authority for monitoring, identification, or investigative purposes.
  • F. None of above.

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_69ef9b72f63081909dfbc2c1ddae86c6 completed April 27, 2026, 5:22 p.m.
NER Named-entity recognition batch_69f640ca4480819089a6b9fd78c45ab2 completed May 2, 2026, 6:22 p.m.
PD Predicate disambiguation batch_69f63c6a8474819091b8c6fe98e3862d completed May 2, 2026, 6:03 p.m.
Created at: April 27, 2026, 9:12 p.m.