Triple

T3959378
Position Surface form Disambiguated ID Type / Status
Subject Nama E85862 entity
Predicate hasNeighboringContactLanguages P16383 FINISHED
Object Afrikaans E5797 NE FINISHED

How this triple was built (3 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 | Statement: [Nama, hasNeighboringContactLanguages, Afrikaans]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Afrikaans
Context triple: [Nama, hasNeighboringContactLanguages, 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. Afrikaansche Galey
    Afrikaansche Galey was a Dutch exploration ship notably associated with the early 18th-century Pacific voyages of navigator Jacob Roggeveen.
  • 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. Tshivenda
    Tshivenda is a Bantu language spoken primarily by the Venda people in northern South Africa and neighboring regions.
  • E. 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.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: hasNeighboringContactLanguages
Context triple: [Nama, hasNeighboringContactLanguages, Afrikaans]
  • A. hasNeighboringLanguages chosen
    Indicates that two languages are geographically or regionally adjacent to each other in their areas of use.
  • B. usedAsContactLanguageBetween
    Indicates that a language functions as the medium of communication between two or more distinct language communities.
  • C. neighboringLanguageFamilies
    Indicates that two language families are geographically adjacent or border each other in their primary regions of use.
  • D. closelyAssociatedLanguage
    Indicates that one language is closely connected to another, such as through frequent co-use, mutual influence, or strong cultural or regional association.
  • E. usesWorkingLanguagesOf
    Indicates that one entity employs or operates using the working languages associated with another entity.
  • F. None of above.

Provenance (4 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_69aed93a96908190bcbdbfa718f155bd completed March 9, 2026, 2:29 p.m.
NER Named-entity recognition batch_69aefba878a48190a2e234d775215938 completed March 9, 2026, 4:56 p.m.
NED1 Entity disambiguation (via context triple) batch_69b53fff53b88190a268c90889f7b5b6 completed March 14, 2026, 11:01 a.m.
PD Predicate disambiguation batch_69aef8efcf3c81908ccf61d9ce26b0c0 completed March 9, 2026, 4:44 p.m.
Created at: March 9, 2026, 3:31 p.m.