Triple
T16859841
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Otjozondjupa Region |
E409879
|
entity |
| Predicate | containsSettlement |
P847
|
FINISHED |
| Object |
Tsumkwe
Tsumkwe is a remote settlement in northeastern Namibia known as a center of San (Bushmen) communities and culture.
|
E1236523
|
NE FINISHED |
How this triple was built (4 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: Tsumkwe | Statement: [Otjozondjupa Region, containsSettlement, Tsumkwe]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Tsumkwe Context triple: [Otjozondjupa Region, containsSettlement, Tsumkwe]
-
A.
Keabetswe
Keabetswe is the given first name of Mokgweetsi Masisi, the president of Botswana.
-
B.
Kagiso
Kagiso is a township in South Africa’s Gauteng province, situated west of Johannesburg and known for its dense residential communities and vibrant local culture.
-
C.
Omaruru
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.
-
D.
Gatenga
Gatenga is an urban sector within Kigali, Rwanda, known for its residential neighborhoods and local commercial activity.
-
E.
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.
- F. None of above. chosen
- G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg
Description generation
gpt-5.1
Instruction
Generate a one-sentence description of the target entity. You are given a context triple in the form (subject, predicate, object), where the object is the target entity. # Instructions Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. Avoid repeating the information from the triple, unless really essential. # Response Format Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: Tsumkwe Triple: [Otjozondjupa Region, containsSettlement, Tsumkwe]
Generated description
Tsumkwe is a remote settlement in northeastern Namibia known as a center of San (Bushmen) communities and culture.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Tsumkwe Target entity description: Tsumkwe is a remote settlement in northeastern Namibia known as a center of San (Bushmen) communities and culture.
-
A.
Keabetswe
Keabetswe is the given first name of Mokgweetsi Masisi, the president of Botswana.
-
B.
Kagiso
Kagiso is a township in South Africa’s Gauteng province, situated west of Johannesburg and known for its dense residential communities and vibrant local culture.
-
C.
Omaruru
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.
-
D.
Gatenga
Gatenga is an urban sector within Kigali, Rwanda, known for its residential neighborhoods and local commercial activity.
-
E.
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.
- F. None of above. chosen
Provenance (5 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_69d88395e6c88190b22730f335107c14 |
completed | April 10, 2026, 4:59 a.m. |
| NER | Named-entity recognition | batch_69e3b501f72881909f7600311705fb33 |
completed | April 18, 2026, 4:44 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a00bb25300c8190a352037c21c244bd |
completed | May 10, 2026, 5:06 p.m. |
| NEDg | Description generation | batch_6a00bbc80d54819092de4ee363508b49 |
completed | May 10, 2026, 5:09 p.m. |
| NED2 | Entity disambiguation (via description) | batch_6a00bc66dbc08190bd569ed2b355c99d |
completed | May 10, 2026, 5:12 p.m. |
Created at: April 10, 2026, 5:24 a.m.