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 |
How this entity was disambiguated
This entity first appeared as the object of triple T2720494 — 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: Runway 17R/35L Context triple: [Congonhas–São Paulo Airport, hasRunway, Runway 17R/35L]
-
A.
Runway 17R/35L
Runway 17R/35L is a primary north–south runway used for commercial air traffic operations at Orlando International Airport in Orlando, Florida.
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B.
Runway 17R/35L
Runway 17R/35L is one of the primary north–south runways at Denver International Airport, used for handling a significant share of the airport’s takeoff and landing traffic.
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C.
Runway 17L/35R
Runway 17L/35R is one of the primary paved runways at Orlando International Airport, used for handling both commercial and general aviation traffic.
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D.
Runway 17L/35R
Runway 17L/35R is a primary paved runway at North Texas Regional Airport used for general aviation and regional air traffic operations.
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E.
Runway 15L/33R
Runway 15L/33R is one of the primary paved runways at Baltimore/Washington International Thurgood Marshall Airport, used for handling commercial air traffic in both directions.
- 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: Runway 17R/35L Target entity description: 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.
-
A.
Runway 17R/35L
Runway 17R/35L is a primary north–south runway used for commercial air traffic operations at Orlando International Airport in Orlando, Florida.
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B.
Runway 17R/35L
Runway 17R/35L is one of the primary north–south runways at Denver International Airport, used for handling a significant share of the airport’s takeoff and landing traffic.
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C.
Runway 17L/35R
Runway 17L/35R is one of the primary paved runways at Orlando International Airport, used for handling both commercial and general aviation traffic.
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D.
Runway 17L/35R
Runway 17L/35R is a primary paved runway at North Texas Regional Airport used for general aviation and regional air traffic operations.
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E.
Runway 15L/33R
Runway 15L/33R is one of the primary paved runways at Baltimore/Washington International Thurgood Marshall Airport, used for handling commercial air traffic in both directions.
- F. None of above. chosen
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.