Triple
T3356992
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Makhuwa |
E70628
|
entity |
| Predicate | hasDialects |
P4251
|
FINISHED |
| Object | Makhuwa-Marrevone |
E70628
|
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-Marrevone | Statement: [Makhuwa, hasDialects, Makhuwa-Marrevone]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Makhuwa-Marrevone Context triple: [Makhuwa, hasDialects, Makhuwa-Marrevone]
-
A.
Makhuwa
chosen
Makhuwa is a major Bantu language spoken primarily in northern Mozambique by the Makhuwa people.
-
B.
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.
-
C.
Lanseria
Lanseria is a town in the northwestern part of Johannesburg, South Africa, known primarily for hosting the privately owned Lanseria International Airport.
-
D.
Mazabuka
Mazabuka is a town in southern Zambia known for its sugar industry and agricultural production.
-
E.
Mafadi
Mafadi is a prominent mountain peak on the border of South Africa and Lesotho, renowned as the highest point in South Africa and a popular destination for serious hikers and mountaineers.
- 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_69ad85a660c48190998489309a3b4869 |
completed | March 8, 2026, 2:20 p.m. |
| NER | Named-entity recognition | batch_69adb244435c81908e35d2aa36ec4f46 |
completed | March 8, 2026, 5:30 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69b3342fed748190814da1b968015d43 |
completed | March 12, 2026, 9:46 p.m. |
Created at: March 8, 2026, 3:13 p.m.