Triple
T17002831
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Mwenezi District |
E412490
|
entity |
| Predicate | hasEthnicGroup |
P1898
|
FINISHED |
| Object | Karanga Shona |
E28785
|
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: Karanga Shona | Statement: [Mwenezi District, hasEthnicGroup, Karanga Shona]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Karanga Shona Context triple: [Mwenezi District, hasEthnicGroup, Karanga Shona]
-
A.
Shona
chosen
Shona is a major Bantu language of Zimbabwe, widely spoken by the Shona people and used in education, media, and government.
-
B.
Tumbuka
Tumbuka is a Bantu language spoken primarily in northern Malawi and parts of Zambia and Tanzania.
-
C.
Chichewa
Chichewa is a major Bantu language spoken primarily in Malawi and neighboring countries, serving as a national and widely used lingua franca in the region.
-
D.
Kwanyama
Kwanyama is a major standardized dialect of the Ovambo language spoken primarily in northern Namibia and southern Angola.
-
E.
Kimbundu
Kimbundu is a major Bantu language spoken primarily in northwestern Angola, especially around the capital Luanda, by the Ambundu 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_69d886cb581c8190ab05f4b429c9cd85 |
completed | April 10, 2026, 5:12 a.m. |
| NER | Named-entity recognition | batch_69e3d37f8ba88190b8d32a1d09b6e6fd |
completed | April 18, 2026, 6:54 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a011b451ff88190b63f4ebddf93f153 |
completed | May 10, 2026, 11:56 p.m. |
Created at: April 10, 2026, 5:32 a.m.