Runway 3/21
E527221
Runway 3/21 is one of the primary paved runways at Montgomery Regional Airport in Alabama, used for commercial, military, and general aviation operations.
All labels observed (1)
| Label | Occurrences |
|---|---|
| Runway 3/21 canonical | 1 |
Statements (15)
| Predicate | Object |
|---|---|
| instanceOf | airport runway ⓘ |
| hasRunwayDesignation | 3/21 ⓘ |
| hasRunwayEnd |
Runway end 21
ⓘ
Runway end 3 ⓘ |
| hasSurfaceType | paved runway ⓘ |
| isPrimaryRunwayOf | Montgomery Regional Airport NERFINISHED ⓘ |
| locatedIn |
Alabama
ⓘ
Montgomery Regional Airport NERFINISHED ⓘ Montgomery, Alabama NERFINISHED ⓘ United States of America ⓘ
surface form:
United States
|
| partOf | airfield infrastructure of Montgomery Regional Airport ⓘ |
| servesAirport | Montgomery Regional Airport NERFINISHED ⓘ |
| usedFor |
commercial aviation operations
ⓘ
general aviation operations ⓘ military aviation operations ⓘ |
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 3/21 Description of subject: Runway 3/21 is one of the primary paved runways at Montgomery Regional Airport in Alabama, used for commercial, military, and general aviation operations.
Referenced by (1)
Full triples — surface form annotated when it differs from this entity's canonical label.