Triple
T6366914
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Ovambo |
E143250
|
entity |
| Predicate | hasDialect |
P4251
|
FINISHED |
| Object | Ndonga |
E588289
|
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: Ndonga | Statement: [Ovambo, hasDialect, Ndonga]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Ndonga Context triple: [Ovambo, hasDialect, Ndonga]
-
A.
Kpelle
Kpelle is a major Mande language spoken primarily in Liberia and Guinea by the Kpelle people.
-
B.
Kikongo
Kikongo is a Bantu language widely spoken in Central Africa, particularly in the western regions of the Democratic Republic of the Congo and neighboring countries.
-
C.
Bakongo
The Bakongo are a Bantu-speaking ethnic group of Central Africa, primarily inhabiting regions of Angola, the Democratic Republic of the Congo, and the Republic of the Congo, known for their rich cultural traditions and historical Kongo Kingdom heritage.
-
D.
Kwanyama
chosen
Kwanyama is a major standardized dialect of the Ovambo language spoken primarily in northern Namibia and southern Angola.
-
E.
Lunda
Lunda is a Bantu language spoken primarily by the Lunda people in parts of Zambia, Angola, and the Democratic Republic of the Congo.
- 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_69c008d8c61081908bcaf61510d881ed |
completed | March 22, 2026, 3:20 p.m. |
| NER | Named-entity recognition | batch_69c06811de2881909ead116117956981 |
completed | March 22, 2026, 10:07 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c6386f361c819098dbe01b0cb07b06 |
completed | March 27, 2026, 7:57 a.m. |
Created at: March 22, 2026, 4:32 p.m.