Triple

T1195673
Position Surface form Disambiguated ID Type / Status
Subject Limpopo E25662 entity
Predicate hasOfficialLanguage P236 FINISHED
Object Xitsonga E25191 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: Xitsonga | Statement: [Limpopo, hasOfficialLanguage, Xitsonga]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Xitsonga
Context triple: [Limpopo, hasOfficialLanguage, Xitsonga]
  • A. Xitsonga chosen
    Xitsonga is a Bantu language spoken primarily by the Tsonga people in southern Africa, notably in South Africa, Mozambique, and Zimbabwe.
  • B. Tshivenda
    Tshivenda is a Bantu language spoken primarily by the Venda people in northern South Africa and neighboring regions.
  • 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. 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.
  • E. 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.
  • 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_69a49429f5ec8190a6a205eb0ae81e5e completed March 1, 2026, 7:31 p.m.
NER Named-entity recognition batch_69a4bd7a756c819085d695acfffeaceb completed March 1, 2026, 10:28 p.m.
NED1 Entity disambiguation (via context triple) batch_69ad4005cd4c81909cff0ed6529d1695 completed March 8, 2026, 9:23 a.m.
Created at: March 1, 2026, 7:46 p.m.