MEP
E789332
MEP is the ICAO airline designator assigned to Midwest Connect, a former regional airline brand in the United States.
All labels observed (1)
| Label | Occurrences |
|---|---|
| MEP canonical | 2 |
Statements (9)
| Predicate | Object |
|---|---|
| instanceOf |
ICAO airline designator
ⓘ
airline brand ⓘ |
| airlineCodeType | ICAO designator ⓘ |
| airlineType | regional airline brand ⓘ |
| assignedTo | Midwest Connect NERFINISHED ⓘ |
| country |
United States of America
ⓘ
surface form:
United States
|
| ICAODesignator | MEP NERFINISHED ⓘ |
| operatingRegion | United States NERFINISHED ⓘ |
| status | former ⓘ |
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: MEP Description of subject: MEP is the ICAO airline designator assigned to Midwest Connect, a former regional airline brand in the United States.
Referenced by (2)
Full triples — surface form annotated when it differs from this entity's canonical label.