Triple
T14047861
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Sioma, Zambia |
E338006
|
entity |
| Predicate | partOf |
P40
|
FINISHED |
| Object | Barotseland region |
E250951
|
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: Barotseland region | Statement: [Sioma, Zambia, partOf, Barotseland region]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Barotseland region Context triple: [Sioma, Zambia, partOf, Barotseland region]
-
A.
Barotseland region
chosen
Barotseland region is a historical and cultural area in western Zambia, traditionally associated with the Lozi people and their kingdom.
-
B.
Ohangwena Region
Ohangwena Region is an administrative region in northern Namibia, known for its dense rural population and location along the border with Angola.
-
C.
Ovamboland
Ovamboland is a historical region in northern Namibia and southern Angola traditionally inhabited by the Ovambo people, who speak the Oshiwambo language.
-
D.
Kunene Region
Kunene Region is a sparsely populated, northwestern region of Namibia known for its rugged landscapes, desert-adapted wildlife, and remote Atlantic coastline.
-
E.
Zambezi Region
The Zambezi Region is a narrow, northeastern extension of Namibia known for its lush wetlands, rich wildlife, and strategic location bordering several neighboring countries.
- 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_69d81c664e48819088cbd8f433aeffe5 |
completed | April 9, 2026, 9:38 p.m. |
| NER | Named-entity recognition | batch_69de3c88b5e48190b0f0149102c08992 |
completed | April 14, 2026, 1:09 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69fbc34332448190b044f55f0f85d5e2 |
completed | May 6, 2026, 10:40 p.m. |
Created at: April 9, 2026, 10:20 p.m.