Triple

T11310944
Position Surface form Disambiguated ID Type / Status
Subject Black South African E267831 entity
Predicate legalClassificationUnderApartheid P20275 FINISHED
Object Black 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: Black | Statement: [Black South African, legalClassificationUnderApartheid, Black]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: legalClassificationUnderApartheid
Context triple: [Black South African, legalClassificationUnderApartheid, Black]
  • A. legalStatusUnderApartheid
    Indicates the legal classification or rights a person or group held under apartheid-era laws and policies.
  • B. legalStatusDuringApartheid
    Indicates the legal classification or rights a person or group held under the laws and policies of the apartheid system.
  • C. populationGroupClassificationApartheid chosen
    Indicates the classification of a population group under an apartheid system, specifying how people are segregated or categorized by law or policy.
  • D. functionDuringApartheid
    Indicates that the function, role, or activity occurred specifically during the historical period of apartheid.
  • E. positionOnApartheid
    Indicates a stance, opinion, or policy that an entity holds regarding apartheid.
  • 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_69d6aaca5c24819083db46a30d86cb34 completed April 8, 2026, 7:21 p.m.
NER Named-entity recognition batch_69d7e9c0b3b88190ac0e3d6a5ad3b9bc completed April 9, 2026, 6:02 p.m.
PD Predicate disambiguation batch_69d787aa31888190860eecaa80da5b20 completed April 9, 2026, 11:04 a.m.
Created at: April 8, 2026, 9:32 p.m.