Triple

T9794251
Position Surface form Disambiguated ID Type / Status
Subject Rina van Niekirk E237678 entity
Predicate workHistoricalContext P1409 FINISHED
Object apartheid-era South Africa — 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: apartheid-era South Africa | Statement: [Rina van Niekirk, workHistoricalContext, apartheid-era South Africa]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: workHistoricalContext
Context triple: [Rina van Niekirk, workHistoricalContext, apartheid-era South Africa]
  • A. hasHistoricalContext chosen
    Indicates that something is related to, influenced by, or best understood in light of specific past events, conditions, or time periods.
  • B. shareHistoricalContextAs
    Indicates that two or more entities are associated with or understood within the same historical background, period, or circumstances.
  • C. historicalBackground
    Indicates that one entity provides contextual historical information or circumstances that help explain the origin, development, or significance of another entity.
  • D. historicalContextOfWriting
    Indicates that one entity provides the historical circumstances, period, or background in which another entity (typically a text or document) was written.
  • E. historicalCategory
    Indicates that an entity is classified within a particular historical grouping, period, or type based on its time-related characteristics or context.
  • 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_69ca84dc04488190b9c91193976c0960 completed March 30, 2026, 2:12 p.m.
NER Named-entity recognition batch_69cda347b6bc8190a99b7dec1650cd46 completed April 1, 2026, 10:59 p.m.
PD Predicate disambiguation batch_69cd03da45a88190b71b1be3354c15a6 completed April 1, 2026, 11:39 a.m.
Created at: March 30, 2026, 8:28 p.m.