Triple

T263236
Position Surface form Disambiguated ID Type / Status
Subject Afrikaans E5797 entity
Predicate hasStandardForm P103 FINISHED
Object Standard Afrikaans E5797 NE 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: Standard Afrikaans | Statement: [Afrikaans, hasStandardForm, Standard Afrikaans]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Standard Afrikaans
Context triple: [Afrikaans, hasStandardForm, Standard Afrikaans]
  • A. Afrikaans chosen
    Afrikaans is a West Germanic language spoken mainly in South Africa and Namibia, originating from 17th-century Dutch and influenced by various African and Asian languages.
  • B. South African English
    South African English is the variety of English spoken in South Africa, characterized by distinctive pronunciation, vocabulary, and influences from Afrikaans and indigenous African languages.
  • C. Xhosa
    Xhosa is a Bantu language of South Africa, known for its distinctive click consonants and as one of the country’s major official languages.
  • D. Zulu
    Zulu is a Bantu language of the Nguni group spoken primarily in South Africa and widely influential in the country’s culture and other local languages.
  • E. Setswana
    Setswana is a Bantu language spoken primarily in Botswana and parts of South Africa, known for being one of the region’s major indigenous languages.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

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_69a258dd8ea08190ac554a1cc8dfd8c3 completed Feb. 28, 2026, 2:54 a.m.
NER Named-entity recognition batch_69a25d8c7f448190af9145256f994177 completed Feb. 28, 2026, 3:14 a.m.
NED1 Entity disambiguation (via context triple) batch_69a389ac93ec8190baf0c20a1e872b94 completed March 1, 2026, 12:34 a.m.
Created at: Feb. 28, 2026, 2:55 a.m.