Triple

T33152351
Position Surface form Disambiguated ID Type / Status
Subject Transkei E848469 entity
Predicate purposeUnderApartheid P95170 FINISHED
Object territorial segregation of black South Africans LITERAL 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: territorial segregation of black South Africans | Statement: [Transkei, purposeUnderApartheid, territorial segregation of black South Africans]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: purposeUnderApartheid
Context triple: [Transkei, purposeUnderApartheid, territorial segregation of black South Africans]
  • A. primaryFunctionUnderApartheid chosen
    Indicates the main role or purpose something served specifically within the context of the apartheid system.
  • B. functionDuringApartheid
    Indicates that the function, role, or activity occurred specifically during the historical period of apartheid.
  • C. legalStatusUnderApartheid
    Indicates the legal classification or rights a person or group held under apartheid-era laws and policies.
  • D. positionOnApartheid
    Indicates a stance, opinion, or policy that an entity holds regarding apartheid.
  • E. legalStatusDuringApartheid
    Indicates the legal classification or rights a person or group held under the laws and policies of the apartheid system.
  • 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_69f3495a458c8190a1d34b237ba0be3f completed April 30, 2026, 12:21 p.m.
NER Named-entity recognition batch_69f6e02ba6b881908dfafc52d3b75f1c completed May 3, 2026, 5:42 a.m.
PD Predicate disambiguation batch_69f6de09c2f481909f8b2545d3208c9f completed May 3, 2026, 5:32 a.m.
Created at: May 1, 2026, 1:28 a.m.