Runway 17R/35L
E388000
Runway 17R/35L is one of the main paved runways at Congonhas–São Paulo Airport in Brazil, used for intensive domestic commercial air traffic in the city of São Paulo.
All labels observed (1)
| Label | Occurrences |
|---|---|
| Runway 17R/35L canonical | 1 |
Statements (28)
| Predicate | Object |
|---|---|
| instanceOf |
airport runway
ⓘ
paved runway ⓘ |
| hasOrientation | approximately north–south ⓘ |
| hasRunwayDesignation |
17R
ⓘ
35L ⓘ |
| hasRunwayNumber |
17
ⓘ
35 ⓘ |
| hasSideDesignator |
L
ⓘ
R ⓘ |
| hasSurfaceType | asphalt ⓘ |
| hasUsageIntensity | high ⓘ |
| isAssociatedWithIATAAirportCode | CGH ⓘ |
| isAssociatedWithICAOAirportCode | SBSP ⓘ |
| isMainRunwayOf | Congonhas–São Paulo Airport ⓘ |
| isOperatedBy | Infraero ⓘ |
| locatedIn | Congonhas–São Paulo Airport ⓘ |
| locatedInCity | São Paulo ⓘ |
| locatedInCountry | Brazil ⓘ |
| locatedInState |
state of São Paulo
ⓘ
surface form:
São Paulo (state)
|
| partOf | infrastructure of Congonhas–São Paulo Airport ⓘ |
| servesMetropolitanArea |
São Paulo metropolitan area
ⓘ
surface form:
São Paulo metropolitan region
|
| servesPrimaryRole |
main landing runway at Congonhas–São Paulo Airport
ⓘ
main takeoff runway at Congonhas–São Paulo Airport ⓘ |
| supportsTrafficType |
IFR operations
ⓘ
VFR operations ⓘ |
| usedFor |
airline operations
ⓘ
domestic commercial air traffic ⓘ passenger flights ⓘ |
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 17R/35L Description of subject: Runway 17R/35L is one of the main paved runways at Congonhas–São Paulo Airport in Brazil, used for intensive domestic commercial air traffic in the city of São Paulo.
Referenced by (1)
Full triples — surface form annotated when it differs from this entity's canonical label.