Viedma Airport
E477031
Viedma Airport is a regional public airport serving the city of Viedma and surrounding areas in Argentina’s Río Negro Province.
All labels observed (1)
| Label | Occurrences |
|---|---|
| Viedma Airport canonical | 1 |
How this entity was disambiguated
This entity first appeared as the object of triple T4879684 — resolving that mention is where its identity was fixed. The disambiguator weighed these candidate entities and picked the highlighted one (or “None”, minting a new entity). This is how homonymy is resolved: the same surface form can point to different entities.
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Viedma Airport Context triple: [Río Negro Province, hasAirport, Viedma Airport]
-
A.
Tartu Airport
Tartu Airport is a regional airport in Estonia serving the city of Tartu and the surrounding area with domestic and limited international flights.
-
B.
Lennart Meri Tallinn Airport
Lennart Meri Tallinn Airport is the main international airport serving Estonia’s capital, Tallinn, and the country’s largest air travel hub.
-
C.
Egvekinot Airport
Egvekinot Airport is a small regional airport in the remote settlement of Egvekinot in Russia’s Chukotka Autonomous Okrug, providing vital air connectivity for passengers and supplies.
-
D.
Yeysk Airport
Yeysk Airport is a regional airport serving the town of Yeysk in Krasnodar Krai, Russia, handling civilian and possibly military aviation operations.
-
E.
Petrozavodsk Airport
Petrozavodsk Airport is a regional public airport serving the city of Petrozavodsk in the Republic of Karelia, Russia.
- F. None of above. chosen
- G. Unsure - the case is ambiguous/there is not enough information to decide.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Viedma Airport Target entity description: Viedma Airport is a regional public airport serving the city of Viedma and surrounding areas in Argentina’s Río Negro Province.
-
A.
Tartu Airport
Tartu Airport is a regional airport in Estonia serving the city of Tartu and the surrounding area with domestic and limited international flights.
-
B.
Lennart Meri Tallinn Airport
Lennart Meri Tallinn Airport is the main international airport serving Estonia’s capital, Tallinn, and the country’s largest air travel hub.
-
C.
Egvekinot Airport
Egvekinot Airport is a small regional airport in the remote settlement of Egvekinot in Russia’s Chukotka Autonomous Okrug, providing vital air connectivity for passengers and supplies.
-
D.
Yeysk Airport
Yeysk Airport is a regional airport serving the town of Yeysk in Krasnodar Krai, Russia, handling civilian and possibly military aviation operations.
-
E.
Petrozavodsk Airport
Petrozavodsk Airport is a regional public airport serving the city of Petrozavodsk in the Republic of Karelia, Russia.
- F. None of above. chosen
Statements (25)
| Predicate | Object |
|---|---|
| instanceOf |
airport
ⓘ
public airport ⓘ regional airport ⓘ |
| airportType | civil ⓘ |
| continent | South America ⓘ |
| country | Argentina ⓘ |
| hasAccess | road transport ⓘ |
| hasFacility |
apron
ⓘ
runway lighting ⓘ taxiways ⓘ |
| hasNavigationAid | standard regional navigation aids ⓘ |
| hasRunway | primary runway suitable for regional traffic ⓘ |
| hasRunwaySurface | asphalt ⓘ |
| hasTerminal | passenger terminal ⓘ |
| locatedIn | Viedma ⓘ |
| locatedInAdministrativeTerritorialEntity |
Patagonia
ⓘ
Río Negro Province ⓘ |
| locatedInTimeZone | UTC−03:00 ⓘ |
| operationalStatus | operational ⓘ |
| publicUse | true ⓘ |
| regionServed | Río Negro Province ⓘ |
| serves |
Viedma
ⓘ
surrounding areas of Viedma ⓘ |
| usedFor |
cargo transport
ⓘ
passenger transport ⓘ |
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: Viedma Airport Description of subject: Viedma Airport is a regional public airport serving the city of Viedma and surrounding areas in Argentina’s Río Negro Province.
Referenced by (1)
Full triples — surface form annotated when it differs from this entity's canonical label.