Triple
T4018549
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Khomas Region |
E91223
|
entity |
| Predicate | contains |
P35
|
FINISHED |
| Object | Khomas Hochland |
E405824
|
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: Khomas Hochland | Statement: [Khomas Region, contains, Khomas Hochland]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Khomas Hochland Context triple: [Khomas Region, contains, Khomas Hochland]
-
A.
Khomas Hochland
chosen
Khomas Hochland is a rugged highland area in central Namibia characterized by its mountainous terrain and scenic, sparsely populated landscapes.
-
B.
Khomas Region
Khomas Region is a central administrative region of Namibia that includes the national capital, Windhoek, and serves as a key political and economic hub of the country.
-
C.
Otjozondjupa Region
Otjozondjupa Region is an administrative region in central Namibia known for its agricultural activities, wildlife areas, and role as a key transport corridor.
-
D.
Omaheke Region
Omaheke Region is an administrative region in eastern Namibia known for its semi-arid savannah landscapes and cattle farming.
-
E.
Highveld
The Highveld is a high-altitude grassland plateau in central South Africa known for its extensive farming, mining, and major cities such as Johannesburg and Pretoria.
- 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_69aed9618b04819081750d979d2af098 |
completed | March 9, 2026, 2:29 p.m. |
| NER | Named-entity recognition | batch_69aefaa984948190a252eaeb9dbae454 |
completed | March 9, 2026, 4:51 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69b5768fae4881908c9dea4e39e3788c |
completed | March 14, 2026, 2:54 p.m. |
Created at: March 9, 2026, 3:35 p.m.