Morgan
E372121
Morgan is a Chicago 'L' rapid transit station on the Near West Side serving the city's Pink and Green Lines.
All labels observed (1)
| Label | Occurrences |
|---|---|
| Morgan canonical | 1 |
Statements (30)
| Predicate | Object |
|---|---|
| instanceOf |
Chicago 'L' station
ⓘ
rapid transit station ⓘ |
| accessible | yes ⓘ |
| closed | 1948 ⓘ |
| fareSystem | Ventra ⓘ |
| fareZone | CTA flat fare zone ⓘ |
| hasBicycleFacilities | yes ⓘ |
| hasBusConnections | yes ⓘ |
| hasCanopy | yes ⓘ |
| hasElevator | yes ⓘ |
| hasTicketVendingMachines | yes ⓘ |
| locatedInCity | Chicago ⓘ |
| locatedInCountry |
United States of America
ⓘ
surface form:
United States
|
| locatedInCounty | Cook County ⓘ |
| locatedInNeighborhood | Near West Side ⓘ |
| locatedInState | Illinois ⓘ |
| numberOfPlatforms | 2 ⓘ |
| numberOfTracks | 2 ⓘ |
| operator | Chicago Transit Authority ⓘ |
| originalOpeningDate | 1893 ⓘ |
| ownedBy | Chicago Transit Authority ⓘ |
| platformType | island platform ⓘ |
| reopened | 2012 ⓘ |
| servedByLine |
Green Line
ⓘ
Pink Line ⓘ |
| servesLineBranch |
Green Line Ashland/63rd Branch
ⓘ
surface form:
Green Line Ashland branch
Cermak Branch of Pink Line ⓘ
surface form:
Pink Line Cermak branch
|
| stationCode | MOR ⓘ |
| structureType | elevated ⓘ |
| system |
Chicago "L"
ⓘ
surface form:
Chicago 'L'
|
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: Morgan Description of subject: Morgan is a Chicago 'L' rapid transit station on the Near West Side serving the city's Pink and Green Lines.
Referenced by (1)
Full triples — surface form annotated when it differs from this entity's canonical label.