Runway 04L/22R
E52503
Runway 04L/22R is one of the primary paved runways used for aircraft takeoffs and landings at Wuhan Tianhe International Airport in Wuhan, China.
All labels observed (1)
| Label | Occurrences |
|---|---|
| Runway 04L/22R canonical | 1 |
Statements (20)
| Predicate | Object |
|---|---|
| instanceOf |
airport runway
ⓘ
paved runway ⓘ |
| airportServed | Wuhan Tianhe International Airport ⓘ |
| continent | Asia ⓘ |
| country | China ⓘ |
| hasParallelRunway | Runway 04R/22L ⓘ |
| icaoRegion | ZHHH ⓘ |
| isPrimaryRunwayOf | Wuhan Tianhe International Airport ⓘ |
| locatedIn |
China
ⓘ
Hubei Province ⓘ Wuhan ⓘ Wuhan Tianhe International Airport ⓘ |
| orientation | approximately 040°/220° magnetic ⓘ |
| runwayDesignation | 04L/22R ⓘ |
| runwayEnd |
04L
ⓘ
22R ⓘ |
| servesCity | Wuhan ⓘ |
| surfaceType | asphalt ⓘ |
| usedFor |
aircraft landing
ⓘ
aircraft takeoff ⓘ |
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: Runway 04L/22R Description of subject: Runway 04L/22R is one of the primary paved runways used for aircraft takeoffs and landings at Wuhan Tianhe International Airport in Wuhan, China.
Referenced by (1)
Full triples — surface form annotated when it differs from this entity's canonical label.