Runway 2L/20R
E252525
Runway 2L/20R is one of the primary paved runways at DuPage Airport in Illinois, used for general aviation and corporate aircraft operations.
All labels observed (1)
| Label | Occurrences |
|---|---|
| Runway 2L/20R canonical | 1 |
Statements (18)
| Predicate | Object |
|---|---|
| instanceOf | airport runway ⓘ |
| country |
United States of America
ⓘ
surface form:
United States
|
| hasLeftRightDesignation |
left (2L end)
ⓘ
right (20R end) ⓘ |
| hasOperator | DuPage Airport Authority ⓘ |
| hasOrientation | approximately north-south ⓘ |
| hasRunwayDesignation |
20R
ⓘ
2L ⓘ |
| hasSurfaceType | paved ⓘ |
| isPrimaryRunwayAt | DuPage Airport ⓘ |
| locatedIn |
DuPage Airport
ⓘ
Illinois ⓘ United States of America ⓘ
surface form:
United States
West Chicago, Illinois ⓘ |
| partOf |
DuPage Airport
ⓘ
surface form:
DuPage Airport runway system
|
| serves | DuPage Airport traffic ⓘ |
| usedFor |
corporate aircraft operations
ⓘ
general 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 2L/20R Description of subject: Runway 2L/20R is one of the primary paved runways at DuPage Airport in Illinois, used for general aviation and corporate aircraft operations.
Referenced by (1)
Full triples — surface form annotated when it differs from this entity's canonical label.