Triple
T11469269
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Gǀui language |
E271858
|
entity |
| Predicate | languageFamily |
P1047
|
FINISHED |
| Object | Khoe-Kwadi |
E86793
|
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: Khoe-Kwadi | Statement: [Gǀui language, languageFamily, Khoe-Kwadi]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Khoe-Kwadi Context triple: [Gǀui language, languageFamily, Khoe-Kwadi]
-
A.
Khoe-Kwadi
chosen
Khoe-Kwadi is a proposed language family of southern Africa that groups together the Khoe languages (including Khoikhoi) with the extinct Kwadi language of Angola.
-
B.
Shosholoza
Shosholoza is a traditional South African folk song, often associated with mine workers and later adopted as an unofficial sporting anthem.
-
C.
Mabalako
Mabalako is a health zone in North Kivu Province in the eastern Democratic Republic of the Congo, known for being heavily affected by Ebola outbreaks.
-
D.
Botshabelo
Botshabelo is a large township in South Africa’s Free State province, known as one of the country’s biggest residential areas established during the apartheid era.
-
E.
Khoe
Khoe is a branch of the Khoe–Kwadi language family spoken by various Khoisan communities in southern Africa.
- 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_69d6aae0c8d881908a5a360c0be3242e |
completed | April 8, 2026, 7:22 p.m. |
| NER | Named-entity recognition | batch_69d822f74144819094479690c8151073 |
completed | April 9, 2026, 10:06 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69e5e94ea4748190b375e644b2f1a46c |
completed | April 20, 2026, 8:52 a.m. |
Created at: April 8, 2026, 9:35 p.m.