Triple
T14158147
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Macua |
E350865
|
entity |
| Predicate | hasDialect |
P4251
|
FINISHED |
| Object | Makhuwa-Meetto |
E594813
|
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: Makhuwa-Meetto | Statement: [Macua, hasDialect, Makhuwa-Meetto]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Makhuwa-Meetto Context triple: [Macua, hasDialect, Makhuwa-Meetto]
-
A.
Makhuwa
Makhuwa is a major Bantu language spoken primarily in northern Mozambique by the Makhuwa people.
-
B.
Nongqawuse
Nongqawuse was a teenage Xhosa prophet whose visions in 1856–1857 inspired the catastrophic cattle-killing movement that led to widespread famine and social upheaval among the Xhosa people.
-
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.
Mbekweni
Mbekweni is a predominantly residential township in the Western Cape province of South Africa, situated near Paarl within the Drakenstein municipal area.
-
E.
Emakhuwa
chosen
Emakhuwa is a Bantu language widely spoken in northern Mozambique, primarily by the Makua people.
- 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_69d8278775fc8190b0802d22ca2f495d |
completed | April 9, 2026, 10:26 p.m. |
| NER | Named-entity recognition | batch_69de61377de48190a3470d28f0edd34a |
completed | April 14, 2026, 3:45 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69fcf7ef4d80819098d210503f5d22e9 |
completed | May 7, 2026, 8:37 p.m. |
Created at: April 10, 2026, 12:58 a.m.