Triple

T7276329
Position Surface form Disambiguated ID Type / Status
Subject Tswa–Ronga languages E163038 entity
Predicate hasPart P35 FINISHED
Object Tswa language E152870 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: Tswa language | Statement: [Tswa–Ronga languages, hasPart, Tswa language]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Tswa language
Context triple: [Tswa–Ronga languages, hasPart, Tswa language]
  • A. Tswa language chosen
    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.
  • B. Tswa–Ronga languages
    The Tswa–Ronga languages are a closely related group of Bantu languages spoken primarily in southern Africa, including varieties such as Tsonga and Ronga.
  • C. Sotho–Tswana languages
    The Sotho–Tswana languages are a closely related group of Southern Bantu languages spoken primarily in South Africa, Lesotho, and Botswana, including Sesotho, Setswana, and Sepedi.
  • D. Swazi language
    Swazi language is a Bantu language of the Nguni group spoken primarily in Eswatini and parts of South Africa.
  • 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_69c6885c5964819085b209701769877f completed March 27, 2026, 1:38 p.m.
NER Named-entity recognition batch_69c6eb2f239c819097c1ac4d6de8b0e5 completed March 27, 2026, 8:40 p.m.
NED1 Entity disambiguation (via context triple) batch_69c7db2c76fc81909632c7ee4e54f81c completed March 28, 2026, 1:44 p.m.
Created at: March 27, 2026, 2:59 p.m.