Triple
T16893913
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Erongo Mountains |
E424247
|
entity |
| Predicate | near |
P350
|
FINISHED |
| Object | Omaruru |
E417648
|
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: Omaruru | Statement: [Erongo Mountains, near, Omaruru]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Omaruru Context triple: [Erongo Mountains, near, Omaruru]
-
A.
Omaruru
chosen
Omaruru is a small historic town in central Namibia known for its colonial-era architecture, vineyards, and role as a local trading and farming center.
-
B.
Tsumkwe
Tsumkwe is a remote settlement in northeastern Namibia known as a center of San (Bushmen) communities and culture.
-
C.
Gwembe
Gwembe is a small town in southern Zambia situated near the Zambezi Valley, historically associated with Tonga communities and resettlement related to the Kariba Dam.
-
D.
Lobatse
Lobatse is a town in southeastern Botswana known as an early administrative and industrial center, located south of Gaborone near the South African border.
-
E.
Bongwe
Bongwe is a dialect of the Duala language spoken by the Duala people of Cameroon.
- 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_69d889da3e8c8190a2b118f383f0beac |
completed | April 10, 2026, 5:25 a.m. |
| NER | Named-entity recognition | batch_69e3c8d6bfc88190b6b47b89c1135871 |
completed | April 18, 2026, 6:09 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a00c7aa83bc8190832d2f3903ce0081 |
completed | May 10, 2026, 6 p.m. |
Created at: April 10, 2026, 5:29 a.m.