Triple

T13192417
Position Surface form Disambiguated ID Type / Status
Subject Fezile Dabi District Municipality E314025 entity
Predicate demographicsLanguageSignificant P61052 FINISHED
Object Afrikaans speakers 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 speakers | Statement: [Fezile Dabi District Municipality, demographicsLanguageSignificant, Afrikaans speakers]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: demographicsLanguageSignificant
Context triple: [Fezile Dabi District Municipality, demographicsLanguageSignificant, Afrikaans speakers]
  • A. demographicsSignificantLanguage chosen
    Indicates that a particular language is significantly represented or prevalent within the demographic profile of a population or group.
  • B. majorityLanguageOf
    Indicates that a given language is the primary or most widely spoken language within a specified group, region, or entity.
  • C. demographicSignificanceIn
    Indicates that something has notable demographic importance, impact, or representativeness within a specified population, group, or region.
  • D. ethnicLanguageStatus
    Indicates the status or role of a language in relation to a particular ethnic group (e.g., primary, secondary, heritage, or minority language).
  • E. languageDiversity
    Indicates the degree to which multiple distinct languages are present and used within a given context or population.
  • 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_69d806ae1e08819090d95bfe1538cc17 completed April 9, 2026, 8:06 p.m.
NER Named-entity recognition batch_69d98cf054f88190b05ced98d5a22a62 completed April 10, 2026, 11:51 p.m.
PD Predicate disambiguation batch_69d98bc6bc108190b5a6a265bf6e9fd4 completed April 10, 2026, 11:46 p.m.
Created at: April 9, 2026, 9:15 p.m.