Runway 04/22
E61303
Runway 04/22 is one of LaGuardia Airport’s primary runways, used for handling a significant portion of the airport’s takeoff and landing traffic.
All labels observed (1)
| Label | Occurrences |
|---|---|
| Runway 04/22 canonical | 3 |
How this entity was disambiguated
This entity first appeared as the object of triple T490610 — 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 04/22 Context triple: [LaGuardia Airport, hasRunway, Runway 04/22]
-
A.
Runway 04L/22R
Runway 04L/22R is one of the primary paved runways used for aircraft takeoffs and landings at Wuhan Tianhe International Airport in Wuhan, China.
-
B.
Runway 4/22
Runway 4/22 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.
-
C.
Runway 4R/22L
Runway 4R/22L is one of the primary paved runways at Boston Logan International Airport, used for handling a significant share of the airport’s commercial air traffic.
-
D.
Runway 05R/23L
Runway 05R/23L is one of the main parallel runways at Manchester Airport in the United Kingdom, used for handling commercial air traffic.
-
E.
Runway 05L/23R
Runway 05L/23R is one of the main parallel runways at Manchester Airport, used for handling a high volume of commercial air traffic.
- 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 04/22 Target entity description: Runway 04/22 is one of LaGuardia Airport’s primary runways, used for handling a significant portion of the airport’s takeoff and landing traffic.
-
A.
Runway 04L/22R
Runway 04L/22R is one of the primary paved runways used for aircraft takeoffs and landings at Wuhan Tianhe International Airport in Wuhan, China.
-
B.
Runway 4/22
Runway 4/22 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.
-
C.
Runway 4R/22L
Runway 4R/22L is one of the primary paved runways at Boston Logan International Airport, used for handling a significant share of the airport’s commercial air traffic.
-
D.
Runway 05R/23L
Runway 05R/23L is one of the main parallel runways at Manchester Airport in the United Kingdom, used for handling commercial air traffic.
-
E.
Runway 05L/23R
Runway 05L/23R is one of the main parallel runways at Manchester Airport, used for handling a high volume of commercial air traffic.
- F. None of above. chosen
Statements (29)
| Predicate | Object |
|---|---|
| instanceOf | airport runway ⓘ |
| handles | significant portion of LaGuardia Airport traffic ⓘ |
| hasIATAAirportCode | LGA ⓘ |
| hasLighting | runway edge lighting ⓘ |
| hasRole |
primary arrival runway at LaGuardia Airport
ⓘ
primary departure runway at LaGuardia Airport ⓘ |
| hasRunwayDesignation |
04
ⓘ
22 ⓘ |
| hasRunwayEnd |
Runway 04
ⓘ
Runway 22 ⓘ |
| hasRunwayNumber |
04
ⓘ
22 ⓘ |
| hasRunwayOrientation |
approximately 040 degrees magnetic
ⓘ
approximately 220 degrees magnetic ⓘ |
| hasUsage |
commercial aviation
ⓘ
general aviation ⓘ |
| isParallelTo |
Runway 13/31
ⓘ
surface form:
Runway 13/31 at LaGuardia Airport
|
| isPrimaryRunwayOf | LaGuardia Airport ⓘ |
| locatedIn |
LaGuardia Airport
ⓘ
New York City ⓘ New York ⓘ
surface form:
New York State
Queens, New York City, New York, United States ⓘ
surface form:
Queens, New York City
United States of America ⓘ
surface form:
United States
|
| operatedBy | Port Authority of New York and New Jersey ⓘ |
| partOf | LaGuardia Airport ⓘ |
| servesAirport | LaGuardia Airport ⓘ |
| 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 04/22 Description of subject: Runway 04/22 is one of LaGuardia Airport’s primary runways, used for handling a significant portion of the airport’s takeoff and landing traffic.
Referenced by (3)
Full triples — surface form annotated when it differs from this entity's canonical label.
subject surface form:
LaGuardia Airport