Ankang Fuqiang Airport
E749509
Ankang Fuqiang Airport is a regional civil airport serving the city of Ankang in Shaanxi Province, China, providing passenger and cargo air transport connections.
All labels observed (1)
| Label | Occurrences |
|---|---|
| Ankang Fuqiang Airport canonical | 1 |
Statements (20)
| Predicate | Object |
|---|---|
| instanceOf |
airport
ⓘ
civil airport ⓘ |
| airportType | regional airport ⓘ |
| country | China ⓘ |
| hasFunction |
air transport
ⓘ
cargo transport ⓘ passenger transport ⓘ |
| hasNameInChinese | 安康富强机场 ⓘ |
| hasNameInEnglish | Ankang Fuqiang Airport NERFINISHED ⓘ |
| isPublic | true ⓘ |
| locatedIn |
Ankang
NERFINISHED
ⓘ
China ⓘ Shaanxi Province NERFINISHED ⓘ |
| locatedInAdministrativeTerritory |
People's Republic of China
NERFINISHED
ⓘ
Shaanxi Province NERFINISHED ⓘ |
| regionServed |
Ankang
NERFINISHED
ⓘ
Shaanxi Province NERFINISHED ⓘ |
| serves | Ankang NERFINISHED ⓘ |
| servesCity | Ankang NERFINISHED ⓘ |
| usedFor | civil aviation ⓘ |
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: Ankang Fuqiang Airport Description of subject: Ankang Fuqiang Airport is a regional civil airport serving the city of Ankang in Shaanxi Province, China, providing passenger and cargo air transport connections.
Referenced by (1)
Full triples — surface form annotated when it differs from this entity's canonical label.