Triple
T18409110
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Kuanyama language |
E441705
|
entity |
| Predicate | subclassOf |
P1244
|
FINISHED |
| Object | Ovambo language |
—
|
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: Ovambo language | Statement: [Kuanyama language, subclassOf, Ovambo language]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Ovambo language Context triple: [Kuanyama language, subclassOf, Ovambo language]
-
A.
Ovambo language
chosen
The Ovambo language is a Bantu language spoken primarily in northern Namibia and southern Angola by the Ovambo people.
-
B.
Kavango languages
The Kavango languages are a group of closely related Bantu languages spoken primarily along the Kavango River region in Namibia and Angola.
-
C.
Ngamo language
The Ngamo language is a West Chadic language spoken primarily in northeastern Nigeria by the Ngamo people.
-
D.
Haiǁom language
The Haiǁom language is a Khoisan language spoken by the Haiǁom people of Namibia, known for its use of click consonants and close relation to Nama.
-
E.
Teke-Ngungwel language
The Teke-Ngungwel language is a Bantu language spoken by the Teke people in Central Africa, particularly in parts of the Republic of the Congo and neighboring regions.
- 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_69d8b9eb8a508190a942fd75ebd8b1dc |
completed | April 10, 2026, 8:50 a.m. |
| NER | Named-entity recognition | batch_69e5195b98808190b9cfb2e444f2b524 |
completed | April 19, 2026, 6:05 p.m. |
Created at: April 10, 2026, 10:47 a.m.