Triple
T8089106
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Mambwe people |
E188809
|
entity |
| Predicate | ethnonym |
P4709
|
FINISHED |
| Object | Mambwe |
E679082
|
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: Mambwe | Statement: [Mambwe people, ethnonym, Mambwe]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Mambwe Context triple: [Mambwe people, ethnonym, Mambwe]
-
A.
Mambwe
chosen
The Mambwe are a Bantu-speaking ethnic group primarily inhabiting parts of northeastern Zambia and southwestern Tanzania, known for their agricultural livelihoods and rich cultural traditions.
-
B.
Chongwe
Chongwe is a town in Zambia’s Lusaka Province that serves as a local commercial and administrative center east of the capital, Lusaka.
-
C.
Kapiri Mposhi
Kapiri Mposhi is a town in central Zambia that serves as a key rail and road junction linking the country to Tanzania and other regions.
-
D.
Chiredzi
Chiredzi is a town in southeastern Zimbabwe known as a center for sugarcane farming and a gateway to nearby wildlife and conservation areas.
-
E.
Mzuzu
Mzuzu is a major city in northern Malawi known as an important commercial and administrative center for the region.
- 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_69ca82b7b3e88190b9041ab0ef28b3cb |
completed | March 30, 2026, 2:03 p.m. |
| NER | Named-entity recognition | batch_69cb421c717c819089dd88c30a6401aa |
completed | March 31, 2026, 3:40 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ccecf8f4a48190be0af148a9da4713 |
completed | April 1, 2026, 10:01 a.m. |
Created at: March 30, 2026, 5:29 p.m.