Triple
T7429750
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Kunene Region |
E171458
|
entity |
| Predicate | borders |
P224
|
FINISHED |
| Object | Oshana Region |
E92509
|
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: Oshana Region | Statement: [Kunene Region, borders, Oshana Region]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Oshana Region Context triple: [Kunene Region, borders, Oshana Region]
-
A.
Oshana Region
chosen
Oshana Region is an administrative region in northern Namibia known for its flat, seasonally flooded plains and role as a key agricultural and population center.
-
B.
Erongo Region
Erongo Region is an administrative region on Namibia’s central western coast, known for its Atlantic shoreline, desert landscapes, and the coastal town of Swakopmund.
-
C.
Ohangwena Region
Ohangwena Region is an administrative region in northern Namibia, known for its dense rural population and location along the border with Angola.
-
D.
Omaheke Region
Omaheke Region is an administrative region in eastern Namibia known for its semi-arid savannah landscapes and cattle farming.
-
E.
Kunene Region
Kunene Region is a sparsely populated, northwestern region of Namibia known for its rugged landscapes, desert-adapted wildlife, and remote Atlantic coastline.
- 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_69c68a63491881909281f73d4d5643bf |
completed | March 27, 2026, 1:47 p.m. |
| NER | Named-entity recognition | batch_69c6f3082f188190af5673d18ac7e87e |
completed | March 27, 2026, 9:13 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c83449b84c81909167f29e901c0881 |
completed | March 28, 2026, 8:04 p.m. |
Created at: March 27, 2026, 3:12 p.m.