Runway 3L
E692554
Runway 3L is a specific left-side runway designation at an airport, typically paired with a parallel "3R" runway aligned on a 030-degree magnetic heading.
All labels observed (1)
| Label | Occurrences |
|---|---|
| Runway 3L canonical | 1 |
How this entity was disambiguated
This entity first appeared as the object of triple T7541447 — 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 3L Context triple: [Runway 3, hasExampleVariant, Runway 3L]
-
A.
Runway 34
Runway 34 is one end of an airport runway aligned approximately toward the 340-degree magnetic heading, typically used for aircraft takeoffs and landings in that direction.
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B.
Runway 23
Runway 23 is an airport runway designated for use in the approximate 230-degree magnetic heading direction, typically paired with its opposite-direction counterpart as part of a single physical runway.
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C.
Runway 13R/31L
Runway 13R/31L is one of the primary paved runways at Budapest Ferenc Liszt International Airport, used for handling commercial air traffic in various wind and traffic conditions.
-
D.
Runway 13R/31L
Runway 13R/31L is one of the primary paved runways at Chicago Midway International Airport, used for handling a significant share of the airport’s takeoff and landing traffic.
-
E.
Runway 13R/31L
Runway 13R/31L is a primary paved runway used for aircraft takeoffs and landings at San Antonio International Airport in Texas.
- 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 3L Target entity description: Runway 3L is a specific left-side runway designation at an airport, typically paired with a parallel "3R" runway aligned on a 030-degree magnetic heading.
-
A.
Runway 34
Runway 34 is one end of an airport runway aligned approximately toward the 340-degree magnetic heading, typically used for aircraft takeoffs and landings in that direction.
-
B.
Runway 23
Runway 23 is an airport runway designated for use in the approximate 230-degree magnetic heading direction, typically paired with its opposite-direction counterpart as part of a single physical runway.
-
C.
Runway 13R/31L
Runway 13R/31L is one of the primary paved runways at Budapest Ferenc Liszt International Airport, used for handling commercial air traffic in various wind and traffic conditions.
-
D.
Runway 13R/31L
Runway 13R/31L is one of the primary paved runways at Chicago Midway International Airport, used for handling a significant share of the airport’s takeoff and landing traffic.
-
E.
Runway 13R/31L
Runway 13R/31L is a primary paved runway at William P. Hobby Airport in Houston, Texas, used for commercial and general aviation operations.
- F. None of above. chosen
Statements (46)
| Predicate | Object |
|---|---|
| instanceOf |
airport infrastructure element
ⓘ
runway designation ⓘ |
| belongsToRunwaySystem | Runway 3L/21R ⓘ |
| hasAssociatedNavigationAids | may include ILS, PAPI, or VASI depending on airport ⓘ |
| hasFullDesignation | 3L ⓘ |
| hasLeftSideDesignationMeaning | left runway of a parallel pair or group ⓘ |
| hasLighting |
runway edge lights
ⓘ
runway end identifier lights (optional) ⓘ runway threshold lights ⓘ |
| hasMarkingColor | white ⓘ |
| hasOperationalUse | depends on specific airport procedures ⓘ |
| hasOppositeThresholdDirection | 210 degrees magnetic ⓘ |
| hasOrientationCategory | northeast-southwest ⓘ |
| hasParallelRunwaySystemRole | separates traffic flows on parallel runways ⓘ |
| hasReciprocalRunway | Runway 21R NERFINISHED ⓘ |
| hasRegulatoryAuthority | national civil aviation authority of the state where the airport is located ⓘ |
| hasRunwayNumber | 3 ⓘ |
| hasRunwayNumberRange | 01–36 ⓘ |
| hasRunwayThresholdDirection | 030 degrees magnetic ⓘ |
| hasSafetyArea | runway safety area (RSA) as required by regulation ⓘ |
| hasSideDesignator | L ⓘ |
| hasSideDesignatorSet | L, C, R (for parallel runways) ⓘ |
| hasSurfaceType | varies by airport ⓘ |
| isAlignedToApproximateMagneticHeading | 030 degrees ⓘ |
| isDefinedBy | airport’s published coordinates and dimensions ⓘ |
| isDepictedOn | aeronautical charts ⓘ |
| isLabeledOn | airport diagrams ⓘ |
| isMarkedAccordingTo |
FAA runway marking standards
ⓘ
ICAO runway marking standards ⓘ |
| isNamedRelativeTo | magnetic north ⓘ |
| isNumberedAccordingTo | leading digit(s) of magnetic heading ⓘ |
| isParallelTo | Runway 3R NERFINISHED ⓘ |
| isPartOf | an airport movement area ⓘ |
| isReferencedIn |
air traffic control clearances
ⓘ
standard instrument departures (SIDs) where applicable ⓘ standard terminal arrival routes (STARs) where applicable ⓘ |
| isSubjectTo |
airport-specific noise abatement procedures
ⓘ
airport-specific takeoff and landing minima ⓘ |
| isTypicallyPairedWith | Runway 3R NERFINISHED ⓘ |
| isUsedFor |
aircraft landing
ⓘ
aircraft takeoff ⓘ |
| isUsedIn |
instrument flight operations (where equipped)
ⓘ
visual flight operations ⓘ |
| isUsedToManage | parallel runway operations ⓘ |
| mayRequireRenumberingWhen | local magnetic variation changes significantly ⓘ |
| usesRunwayNumberingConvention | magnetic heading divided by 10 and rounded ⓘ |
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 3L Description of subject: Runway 3L is a specific left-side runway designation at an airport, typically paired with a parallel "3R" runway aligned on a 030-degree magnetic heading.
Referenced by (1)
Full triples — surface form annotated when it differs from this entity's canonical label.