Triple
T16700409
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Moses ǁGaroëb Constituency |
E405830
|
entity |
| Predicate | partOf |
P40
|
FINISHED |
| Object | City of Windhoek |
E48226
|
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: City of Windhoek | Statement: [Moses ǁGaroëb Constituency, partOf, City of Windhoek]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: City of Windhoek Context triple: [Moses ǁGaroëb Constituency, partOf, City of Windhoek]
-
A.
Windhoek
chosen
Windhoek is the capital and largest city of Namibia, serving as the country’s political, economic, and cultural center.
-
B.
Otjiwarongo
Otjiwarongo is a town in central Namibia known as a key commercial and transport hub for the surrounding agricultural and wildlife regions.
-
C.
Swakopmund
Swakopmund is a coastal city in Namibia known for its German colonial architecture, cool Atlantic climate, and popularity as a tourist destination and adventure-sports hub.
-
D.
Keetmanshoop
Keetmanshoop is a historic town in southern Namibia known as a regional commercial center and gateway to the surrounding semi-desert landscapes.
-
E.
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.
- 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_69d8838db21081909589220fd71440a4 |
completed | April 10, 2026, 4:58 a.m. |
| NER | Named-entity recognition | batch_69e3833195948190801268a1053060d9 |
completed | April 18, 2026, 1:12 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a011b35ce148190a10322f392cb7366 |
completed | May 10, 2026, 11:56 p.m. |
Created at: April 10, 2026, 5:19 a.m.