SurfaceWatch runway monitoring
E884685
SurfaceWatch runway monitoring is an advanced Garmin safety feature that provides visual and aural alerts to help pilots avoid runway incursions and wrong-runway takeoffs or landings.
All labels observed (1)
| Label | Occurrences |
|---|---|
| SurfaceWatch runway monitoring canonical | 1 |
How this entity was disambiguated
This entity first appeared as the object of triple T10763133 — 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.
Target entity: SurfaceWatch runway monitoring Context triple: [Garmin G1000 NXi, feature, SurfaceWatch runway monitoring]
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A.
Automatic Warning System
The Automatic Warning System (AWS) is a British railway safety system that alerts train drivers to signal aspects and speed restrictions and automatically applies the brakes if necessary to prevent accidents.
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B.
Air Traffic Control Tower
An Air Traffic Control Tower is a facility at an airport from which controllers manage aircraft movements on the ground and in the immediate airspace around the airport.
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C.
Runway 09L/27R
Runway 09L/27R is a major east–west runway at Chicago O'Hare International Airport used for handling high volumes of commercial air traffic.
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D.
Runway 09L/27R
Runway 09L/27R is one of the primary parallel runways used for commercial air traffic operations at São Paulo–Guarulhos International Airport in Brazil.
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E.
Runway 09L/27R
Runway 09L/27R is one of the primary parallel runways used for commercial aircraft operations at Philadelphia International Airport.
- F. None of above. chosen
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Target entity: SurfaceWatch runway monitoring Target entity description: SurfaceWatch runway monitoring is an advanced Garmin safety feature that provides visual and aural alerts to help pilots avoid runway incursions and wrong-runway takeoffs or landings.
-
A.
Automatic Warning System
The Automatic Warning System (AWS) is a British railway safety system that alerts train drivers to signal aspects and speed restrictions and automatically applies the brakes if necessary to prevent accidents.
-
B.
Air Traffic Control Tower
An Air Traffic Control Tower is a facility at an airport from which controllers manage aircraft movements on the ground and in the immediate airspace around the airport.
-
C.
Runway 09L/27R
Runway 09L/27R is a major east–west runway at Chicago O'Hare International Airport used for handling high volumes of commercial air traffic.
-
D.
Runway 09L/27R
Runway 09L/27R is one of the primary parallel runways used for commercial air traffic operations at São Paulo–Guarulhos International Airport in Brazil.
-
E.
Runway 09L/27R
Runway 09L/27R is one of the primary parallel runways used for commercial aircraft operations at Philadelphia International Airport.
- F. None of above. chosen
Statements (46)
| Predicate | Object |
|---|---|
| instanceOf |
Garmin avionics feature
ⓘ
aviation safety feature ⓘ |
| aimsTo |
help pilots avoid runway incursions
ⓘ
help pilots avoid wrong-runway landings ⓘ help pilots avoid wrong-runway takeoffs ⓘ |
| alertsWhen |
aircraft is about to take off from a taxiway or non-runway surface
ⓘ
aircraft is aligned with a runway different from the selected runway ⓘ aircraft is approaching a runway end ⓘ aircraft is approaching a runway that does not meet performance criteria ⓘ aircraft is on a runway shorter than the pilot-selected minimum length ⓘ |
| category |
runway safety technology
ⓘ
situational awareness enhancement ⓘ |
| contributesTo |
reduction of runway incursions
ⓘ
reduction of wrong-runway events ⓘ |
| designedFor | fixed-wing aircraft ⓘ |
| developer | Garmin NERFINISHED ⓘ |
| featureOf |
Garmin G1000 NXi avionics system
NERFINISHED
ⓘ
Garmin G3000 avionics system NERFINISHED ⓘ Garmin G5000 avionics system NERFINISHED ⓘ Garmin GTN series navigators NERFINISHED ⓘ Garmin integrated flight decks ⓘ |
| hasComponent |
runway distance remaining alerting
ⓘ
runway identification alerting ⓘ runway position awareness ⓘ takeoff and landing runway verification ⓘ |
| intendedUser |
air transport pilots
ⓘ
business aviation pilots ⓘ general aviation pilots ⓘ |
| operatesOn | airport surface environment ⓘ |
| outputType |
aural voice callouts
ⓘ
cockpit display annunciations ⓘ |
| provides |
aural alerts
ⓘ
visual alerts ⓘ |
| requires |
compatible Garmin avionics hardware
ⓘ
current aviation database ⓘ |
| safetyRole |
augmentation of pilot visual runway verification
ⓘ
last-line defense against runway identification errors ⓘ |
| supportsPhaseOfFlight |
landing
ⓘ
takeoff ⓘ taxi ⓘ |
| uses |
aircraft GPS position
ⓘ
airport layout data ⓘ runway database information ⓘ runway identification data ⓘ runway length data ⓘ runway orientation data ⓘ |
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.
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.
Subject: SurfaceWatch runway monitoring Description of subject: SurfaceWatch runway monitoring is an advanced Garmin safety feature that provides visual and aural alerts to help pilots avoid runway incursions and wrong-runway takeoffs or landings.
Referenced by (1)
Full triples — surface form annotated when it differs from this entity's canonical label.