Runway 13/31
E61749
Runway 13/31 is one of the primary intersecting runways at New York’s LaGuardia Airport, used for both arrivals and departures in varying wind and traffic conditions.
All labels observed (2)
| Label | Occurrences |
|---|---|
| Runway 13/31 canonical | 4 |
| Runway 13/31 at LaGuardia Airport | 1 |
How this entity was disambiguated
This entity first appeared as the object of triple T490611 — 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 13/31 Context triple: [LaGuardia Airport, hasRunway, Runway 13/31]
-
A.
Runway 15/33
Runway 15/33 is one of the primary runways at Ronald Reagan Washington National Airport in Arlington, Virginia, serving commercial air traffic for the Washington, D.C. area.
-
B.
Runway 14/32
Runway 14/32 is one of the primary paved runways at Boston Logan International Airport, used for handling a mix of domestic and international air traffic under varying wind and weather conditions.
-
C.
Runway 10/28
Runway 10/28 is a principal paved runway at José Martí International Airport in Havana, Cuba, used for handling a significant share of the airport’s commercial air traffic.
-
D.
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.
-
E.
Runway 14R/32L
Runway 14R/32L is a primary paved runway at Moffett Field in California, used for military, research, and general aviation operations.
- 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 13/31 Target entity description: Runway 13/31 is one of the primary intersecting runways at New York’s LaGuardia Airport, used for both arrivals and departures in varying wind and traffic conditions.
-
A.
Runway 15/33
Runway 15/33 is one of the primary runways at Ronald Reagan Washington National Airport in Arlington, Virginia, serving commercial air traffic for the Washington, D.C. area.
-
B.
Runway 14/32
Runway 14/32 is one of the primary paved runways at Boston Logan International Airport, used for handling a mix of domestic and international air traffic under varying wind and weather conditions.
-
C.
Runway 10/28
Runway 10/28 is a principal paved runway at José Martí International Airport in Havana, Cuba, used for handling a significant share of the airport’s commercial air traffic.
-
D.
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.
-
E.
Runway 14R/32L
Runway 14R/32L is a primary paved runway at Moscow’s Domodedovo International Airport used for handling commercial air traffic.
- F. None of above. chosen
Statements (25)
| Predicate | Object |
|---|---|
| instanceOf |
airport runway
ⓘ
runway at LaGuardia Airport ⓘ |
| hasApproachDirection |
runway 13
ⓘ
runway 31 ⓘ |
| hasFunction |
landing operations
ⓘ
takeoff operations ⓘ |
| hasRunwayDesignator |
13
ⓘ
31 ⓘ |
| hasSurfaceType | asphalt ⓘ |
| isControlledBy |
LaGuardia Airport air traffic control tower
ⓘ
linked to:
LaGuardia Tower
|
| isIntersectingRunwayWith | Runway 04/22 ⓘ |
| isPrimaryRunwayOf | LaGuardia Airport ⓘ |
| locatedIn |
LaGuardia Airport
ⓘ
New York City ⓘ New York State ⓘ
linked to:
New York
Queens, New York City ⓘ United States ⓘ
linked to:
United States of America
|
| operatedBy | Port Authority of New York and New Jersey ⓘ |
| partOf |
LaGuardia Airport runway system
ⓘ
linked to:
LaGuardia Airport
|
| serves |
commercial air traffic
ⓘ
general aviation traffic ⓘ |
| usageDependsOn |
traffic conditions
ⓘ
wind conditions ⓘ |
| usedFor |
arrivals
ⓘ
departures ⓘ |
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 13/31 Description of subject: Runway 13/31 is one of the primary intersecting runways at New York’s LaGuardia Airport, used for both arrivals and departures in varying wind and traffic conditions.
Referenced by (5)
Full triples — surface form annotated when it differs from this entity's canonical label.