Triple

T841575
Position Surface form Disambiguated ID Type / Status
Subject Southern Africa E18188 entity
Predicate hasMajorLanguage P207 FINISHED
Object Setswana E24414 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: Setswana | Statement: [Southern Africa, hasMajorLanguage, Setswana]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Setswana
Context triple: [Southern Africa, hasMajorLanguage, Setswana]
  • A. Setswana chosen
    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.
  • B. Sesotho
    Sesotho is a Southern Bantu language spoken primarily in Lesotho and South Africa, where it holds official status and serves as a major medium of communication and cultural identity.
  • C. Sotho
    Sotho is a Bantu language of Southern Africa, primarily spoken in Lesotho and South Africa, where it serves as one of the country’s official languages.
  • D. Northern Sotho (Sepedi)
    Northern Sotho (Sepedi) is a Bantu language of South Africa, recognized as one of the country’s official languages and widely spoken in the northern regions, especially in Limpopo and parts of Gauteng.
  • E. Tshivenda
    Tshivenda is a Bantu language spoken primarily by the Venda people in northern South Africa and neighboring regions.
  • 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_69a49389f44881909a608fb27d89f247 completed March 1, 2026, 7:29 p.m.
NER Named-entity recognition batch_69a4abe6f0dc8190a1bebb5e21f4ceac completed March 1, 2026, 9:13 p.m.
NED1 Entity disambiguation (via context triple) batch_69a7c0144a70819098aa4872a02b62b7 completed March 4, 2026, 5:16 a.m.
Created at: March 1, 2026, 7:38 p.m.