Triple
T22169882
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Xichangana |
E547889
|
entity |
| Predicate | neighboringLanguages |
P16383
|
FINISHED |
| Object | Tswa |
—
|
NE NERFINISHED |
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 | Statement: [Xichangana, neighboringLanguages, Tswa]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Tswa Context triple: [Xichangana, neighboringLanguages, Tswa]
-
A.
Tshivenda
Tshivenda is a Bantu language spoken primarily by the Venda people in northern South Africa and neighboring regions.
-
B.
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.
-
C.
Xitswa
Xitswa is a Bantu language spoken primarily in southern Mozambique and neighboring regions, known for its rich oral traditions and close relation to other Tswa-Ronga languages.
-
D.
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.
-
E.
Ndonga
Ndonga is a major Bantu language variety spoken primarily in northern Namibia and southern Angola, often used in education, media, and religious contexts.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (2 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_69e11e3c4c5c81908d336165816b12e0 |
completed | April 16, 2026, 5:37 p.m. |
| NER | Named-entity recognition | batch_69f12a67f4dc81909cc5f8d2c1fe6129 |
completed | April 28, 2026, 9:45 p.m. |
Created at: April 16, 2026, 8:34 p.m.