served by Uyuni Airport
E127178
Uyuni Airport is a regional airport in southwestern Bolivia that provides air access to the famous Salar de Uyuni salt flats and the nearby town of Uyuni.
All labels observed (1)
| Label | Occurrences |
|---|---|
| served by Uyuni Airport canonical | 1 |
Statements (20)
| Predicate | Object |
|---|---|
| instanceOf |
airport
ⓘ
regional airport ⓘ |
| country | Bolivia ⓘ |
| hasIATACode | UYU ⓘ |
| hasICAOCode | SLUY ⓘ |
| hasType | public airport ⓘ |
| locatedIn | Uyuni ⓘ |
| locatedInRegion |
western Bolivia
ⓘ
surface form:
southwestern Bolivia
|
| locatedNear |
Salar de Uyuni
ⓘ
Uyuni ⓘ |
| locatedOnContinent | South America ⓘ |
| providesAccessTo |
Salar de Uyuni
ⓘ
Uyuni ⓘ |
| runwaySurface | asphalt ⓘ |
| serves |
Salar de Uyuni
ⓘ
Uyuni ⓘ |
| servesRegion | Potosí Department ⓘ |
| usedFor |
access to salt flats
ⓘ
passenger transport ⓘ tourism ⓘ |
How these facts were elicited
The pipeline generated the facts above by prompting gpt-5.1 with this entity's name + description and the instruction below.
Instruction
You are a knowledge base construction expert. Given a subject entity and a description of it, return factual statements that you know for the subject as a JSON list of dictionaries(triples), where keys must be "subject", "predicate" and "object". The number of facts may be very high, between 25 to 50 or more, for very popular subjects. For less popular subjects, the number of facts can be very low, like 5 or 10. # Requirements - If you don't know the subject at all, return an empty list. - If the subject is not a named entity, return an empty list. - Include at least one triple where predicate is "instanceOf". - Do not get too wordy. - Separate several objects into multiple triples with one object.
Input
Subject: served by Uyuni Airport Description of subject: Uyuni Airport is a regional airport in southwestern Bolivia that provides air access to the famous Salar de Uyuni salt flats and the nearby town of Uyuni.
Referenced by (1)
Full triples — surface form annotated when it differs from this entity's canonical label.