Triple
T19609420
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Eastern Province, Zambia |
E470689
|
entity |
| Predicate | hasTown |
P847
|
FINISHED |
| Object | Mambwe |
—
|
NE NERFINISHED |
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: [Eastern Province, Zambia, hasTown, Mambwe]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Mambwe Context triple: [Eastern Province, Zambia, hasTown, 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.
Sinazongwe
Sinazongwe is a lakeside town in southern Zambia situated on the shores of Lake Kariba, known primarily for fishing and agriculture.
-
C.
Chongwe
Chongwe is a town in Zambia’s Lusaka Province that serves as a local commercial and administrative center east of the capital, Lusaka.
-
D.
Cedza
Cedza is a Swazi prince and social entrepreneur known for his work in youth leadership and development initiatives.
-
E.
Ntshona
Ntshona is the surname of South African actor and playwright Winston Ntshona, known for his influential work in anti-apartheid theatre.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (2 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_69d8e510fa248190b7afb274a1d4cf73 |
completed | April 10, 2026, 11:54 a.m. |
| NER | Named-entity recognition | batch_69e640ca57a081909c05000fca52271f |
completed | April 20, 2026, 3:05 p.m. |
Created at: April 10, 2026, 1:43 p.m.