Triple
T18763186
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Southern Namibia |
E458826
|
entity |
| Predicate | hasTown |
P847
|
FINISHED |
| Object | Keetmanshoop |
—
|
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: Keetmanshoop | Statement: [Southern Namibia, hasTown, Keetmanshoop]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Keetmanshoop Context triple: [Southern Namibia, hasTown, Keetmanshoop]
-
A.
Keetmanshoop
chosen
Keetmanshoop is a historic town in southern Namibia known as a regional commercial center and gateway to the surrounding semi-desert landscapes.
-
B.
Groblershoop
Groblershoop is a small town in South Africa’s Northern Cape province, known as an agricultural center in the Orange River wine and grape-growing region.
-
C.
Oudtshoorn
Oudtshoorn is a South African town famed as the "ostrich capital of the world," known for its ostrich farms, Cango Caves, and semi-arid Karoo landscape.
-
D.
Rustenburg
Rustenburg is a city in South Africa’s North West Province known for its mining industry and as one of the venues for the 2010 FIFA World Cup.
-
E.
Hoedspruit
Hoedspruit is a small South African town near Kruger National Park, known as a gateway to wildlife reserves and scenic Lowveld attractions.
- 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_69d8d395dba0819087568404508590cb |
completed | April 10, 2026, 10:40 a.m. |
| NER | Named-entity recognition | batch_69e58d80a954819083946dafc0c7af05 |
completed | April 20, 2026, 2:20 a.m. |
Created at: April 10, 2026, 11:52 a.m.