Triple

T18568392
Position Surface form Disambiguated ID Type / Status
Subject Rand Afrikaans University E453814 entity
Predicate primaryLanguageCommunityServed P5562 FINISHED
Object Afrikaans-speaking students 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: Afrikaans-speaking students | Statement: [Rand Afrikaans University, primaryLanguageCommunityServed, Afrikaans-speaking students]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: primaryLanguageCommunityServed
Context triple: [Rand Afrikaans University, primaryLanguageCommunityServed, Afrikaans-speaking students]
  • A. hasLanguageCommunity chosen
    Indicates that an entity is associated with or serves a particular language community.
  • B. primaryLanguageOf
    Indicates that a specified language is the main or official language used by a particular entity (such as a person, organization, or region).
  • C. primaryLanguageRegulated
    Indicates that an authority or governing body sets rules or standards for the primary language used in a given context or domain.
  • D. majorityLanguageOf
    Indicates that a given language is the primary or most widely spoken language within a specified group, region, or entity.
  • E. primaryLanguageContact
    Indicates that one language serves as the main or dominant medium of communication in a particular contact situation between language communities.
  • 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_69d8d38974308190a9174430ef256b73 completed April 10, 2026, 10:40 a.m.
NER Named-entity recognition batch_69e53affc3e08190b4d16b5ccb0bddbc completed April 19, 2026, 8:28 p.m.
PD Predicate disambiguation batch_69e478c16e0c8190b03966aa23c395a6 completed April 19, 2026, 6:40 a.m.
Created at: April 10, 2026, 11:43 a.m.