Triple

T3909722
Position Surface form Disambiguated ID Type / Status
Subject Low Franconian languages E87291 entity
Predicate hasPart P35 FINISHED
Object Afrikaans language 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: Afrikaans language | Statement: [Low Franconian languages, hasPart, Afrikaans language]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Afrikaans language
Context triple: [Low Franconian languages, hasPart, Afrikaans language]
  • 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. 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.
  • C. Afrikaansche Galey
    Afrikaansche Galey was a Dutch exploration ship notably associated with the early 18th-century Pacific voyages of navigator Jacob Roggeveen.
  • D. Tshivenda
    Tshivenda is a Bantu language spoken primarily by the Venda people in northern South Africa and neighboring regions.
  • E. Tswa language
    The Tswa language is a Bantu language of southern Africa, spoken mainly in Mozambique and neighboring regions, and is closely related to Xitsonga within the Tswa-Ronga group.
  • 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_69aed9424514819086e9c58adde6652d completed March 9, 2026, 2:29 p.m.
NER Named-entity recognition batch_69aeed14d6d08190b74757eb9288fe4d completed March 9, 2026, 3:53 p.m.
NED1 Entity disambiguation (via context triple) batch_69b5337f3ae08190ba68fc20a3ba4692 completed March 14, 2026, 10:07 a.m.
Created at: March 9, 2026, 3:22 p.m.