Triple

T1605032
Position Surface form Disambiguated ID Type / Status
Subject South African Party E34481 entity
Predicate policyOnRace P19420 FINISHED
Object maintenance of white political dominance 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: maintenance of white political dominance | Statement: [South African Party, policyOnRace, maintenance of white political dominance]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: policyOnRace
Context triple: [South African Party, policyOnRace, maintenance of white political dominance]
  • A. racePolicy
    Indicates that an entity has established rules, practices, or guidelines governing how races or competitive events are conducted or managed.
  • B. peacePolicy
    Indicates a policy or set of measures aimed at promoting, maintaining, or restoring peaceful relations between parties.
  • C. stanceOnSegregation chosen
    Indicates a person or group’s expressed position, attitude, or viewpoint regarding racial or social segregation.
  • D. policyFocus
    Indicates that an entity (such as a person, organization, or document) is primarily concerned with, directed toward, or centered on a particular policy area or issue.
  • E. policyName
    Indicates the specific name or title assigned to a policy associated with an entity.
  • 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_69a885fea6a481909fe83ba6441f1774 completed March 4, 2026, 7:20 p.m.
NER Named-entity recognition batch_69a93fa6926081908bc78d15c0be3185 completed March 5, 2026, 8:32 a.m.
PD Predicate disambiguation batch_69a907c35f848190a2428c52e81d013e completed March 5, 2026, 4:34 a.m.
Created at: March 4, 2026, 7:28 p.m.