Triple

T7845943
Position Surface form Disambiguated ID Type / Status
Subject Department of Bantu Education E181921 entity
Predicate mottoOrStatedGoal P42 FINISHED
Object separate and unequal education for different racial groups 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: separate and unequal education for different racial groups | Statement: [Department of Bantu Education, mottoOrStatedGoal, separate and unequal education for different racial groups]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: mottoOrStatedGoal
Context triple: [Department of Bantu Education, mottoOrStatedGoal, separate and unequal education for different racial groups]
  • A. motto chosen
    Indicates that one entity serves as the guiding phrase, slogan, or maxim associated with another entity.
  • B. mottoOriginalLanguage
    Indicates the language in which a motto was originally formulated or expressed.
  • C. mottoType
    Indicates the specific category or kind of motto that characterizes the relationship between an entity and its motto.
  • D. mottoEmphasizes
    Indicates that a motto highlights, stresses, or gives special importance to a particular idea, value, or theme.
  • E. mottoOrRole
    Indicates that one entity serves as the motto, slogan, or role designation associated with another 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_69ca8285d6488190a95d4c02d7354b53 completed March 30, 2026, 2:02 p.m.
NER Named-entity recognition batch_69cb163f5da08190b7340ef4cc01cd19 completed March 31, 2026, 12:33 a.m.
PD Predicate disambiguation batch_69cae92180f88190ae3d44c3de7adc93 completed March 30, 2026, 9:20 p.m.
Created at: March 30, 2026, 4:49 p.m.