Runway 07L/25R
E87182
Runway 07L/25R is a designated airport runway forming one of a pair of parallel runways used for aircraft takeoffs and landings.
All labels observed (2)
| Label | Occurrences |
|---|---|
| Runway 07L/25R canonical | 7 |
| Runway 7L/25R | 3 |
How this entity was disambiguated
This entity first appeared as the object of triple T666025 — 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 07L/25R Context triple: [Runway 07R/25L, isParallelTo, Runway 07L/25R]
-
A.
Runway 07R/25L
Runway 07R/25L is one of the primary east–west runways at Los Angeles International Airport, used for handling a high volume of commercial air traffic.
-
B.
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.
-
C.
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.
-
D.
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.
-
E.
Runway 01L/19R
Runway 01L/19R is one of the primary parallel runways at San Francisco International Airport, used for both arrivals and departures in varying wind conditions.
- 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 07L/25R Target entity description: Runway 07L/25R is a designated airport runway forming one of a pair of parallel runways used for aircraft takeoffs and landings.
-
A.
Runway 07R/25L
Runway 07R/25L is one of the primary east–west runways at Los Angeles International Airport, used for handling a high volume of commercial air traffic.
-
B.
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.
-
C.
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.
-
D.
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.
-
E.
Runway 01L/19R
Runway 01L/19R is one of the primary parallel runways at San Francisco International Airport, used for both arrivals and departures in varying wind conditions.
- F. None of above. chosen
Statements (31)
| Predicate | Object |
|---|---|
| instanceOf |
airport runway
ⓘ
runway designation ⓘ |
| followsICAODesignationStandard | true ⓘ |
| hasDesignationSystem | runway number and side letter ⓘ |
| hasLeftRunwayIn07Direction | true ⓘ |
| hasMagneticHeadingApprox | 070 degrees ⓘ |
| hasOrientation | east-northeast to west-southwest ⓘ |
| hasParallelRunway | Runway 07R/25L ⓘ |
| hasReciprocalMagneticHeadingApprox | 250 degrees ⓘ |
| hasRegulatoryStandard |
FAA runway numbering conventions (where applicable)
ⓘ
ICAO Annex 14 (general runway designation rules) ⓘ |
| hasRightRunwayIn25Direction | true ⓘ |
| hasRunwayDirection |
07L
ⓘ
25R ⓘ |
| hasRunwayMarkings | standard instrument runway markings (typical) ⓘ |
| hasRunwayNumber |
07
ⓘ
25 ⓘ |
| hasRunwaySide |
L
ⓘ
R ⓘ |
| hasSafetyFunction | separation of parallel traffic ⓘ |
| hasSurfaceType | paved (typical for such designations) ⓘ |
| hasTwoOperationalDirections | true ⓘ |
| isNumberedByMagneticHeading | true ⓘ |
| isPartOf | parallel runway pair ⓘ |
| isUsedBy |
commercial airliners
ⓘ
fixed-wing aircraft ⓘ general aviation aircraft ⓘ |
| supportsIFROperations | possible ⓘ |
| supportsVFROperations | true ⓘ |
| 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 07L/25R Description of subject: Runway 07L/25R is a designated airport runway forming one of a pair of parallel runways used for aircraft takeoffs and landings.
Referenced by (10)
Full triples — surface form annotated when it differs from this entity's canonical label.
linked to: Runway 07L/25R
linked to: Runway 07L/25R
subject linked to:
FAI
linked to: Runway 07L/25R