Triple
T17101486
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Nama language |
E414989
|
entity |
| Predicate | hasDialect |
P4251
|
FINISHED |
| Object | Central Nama |
E1220523
|
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: Central Nama | Statement: [Nama language, hasDialect, Central Nama]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Central Nama Context triple: [Nama language, hasDialect, Central Nama]
-
A.
Namaqua
chosen
Namaqua is an alternate name for the Nama people, an Indigenous Khoikhoi ethnic group primarily inhabiting parts of Namibia, Botswana, and South Africa.
-
B.
Omaheke Region
Omaheke Region is an administrative region in eastern Namibia known for its semi-arid savannah landscapes and cattle farming.
-
C.
Ovamboland
Ovamboland is a historical region in northern Namibia and southern Angola traditionally inhabited by the Ovambo people, who speak the Oshiwambo language.
-
D.
Namakwa region
The Namakwa region is a sparsely populated area in South Africa’s Northern Cape known for its arid landscapes, rich Nama cultural heritage, and spectacular spring wildflower displays.
-
E.
Soshanguve
Soshanguve is a large township in the northern part of the Gauteng province of South Africa, known for its diverse population and proximity to Pretoria.
- 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_69d886cfc8e88190b05ba466edd35591 |
completed | April 10, 2026, 5:12 a.m. |
| NER | Named-entity recognition | batch_69e3dc239a088190a776fe0f4361ffc7 |
completed | April 18, 2026, 7:31 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a0139fdda488190a1ca5c7ca875e044 |
completed | May 11, 2026, 2:07 a.m. |
Created at: April 10, 2026, 5:35 a.m.