Zone E
E805389
Zone E is a Metra commuter rail fare zone in the Chicago metropolitan area used to determine ticket prices based on distance traveled.
All labels observed (1)
| Label | Occurrences |
|---|---|
| Zone E canonical | 1 |
Statements (31)
| Predicate | Object |
|---|---|
| instanceOf |
Metra fare zone
ⓘ
commuter rail fare zone ⓘ |
| administeredBy | Metra Board of Directors NERFINISHED ⓘ |
| appliesTo | Metra commuter rail lines NERFINISHED ⓘ |
| country |
United States of America
ⓘ
surface form:
United States
|
| currency | US dollar ⓘ |
| fareCategory | commuter rail ⓘ |
| fareDependsOn |
destination zone
ⓘ
distance from downtown Chicago ⓘ origin zone ⓘ |
| fareMedia |
10-ride tickets
ⓘ
monthly passes ⓘ one-way tickets ⓘ weekend passes ⓘ |
| farePolicy |
higher zone letters generally indicate greater distance from downtown
ⓘ
ticket price increases with zone distance traveled ⓘ |
| fareStructureType | zone-based fare system ⓘ |
| fareSystemIntroducedBy | Metra NERFINISHED ⓘ |
| fareSystemOf | Metra NERFINISHED ⓘ |
| fareZoneRole | intermediate-distance zone in Metra system ⓘ |
| locatedIn | Chicago metropolitan area ⓘ |
| modeOfTransport | rail ⓘ |
| operator | Metra NERFINISHED ⓘ |
| partOf | Metra zone system NERFINISHED ⓘ |
| serves | suburban communities around Chicago ⓘ |
| state | Illinois ⓘ |
| usedBy |
Metra conductors for fare collection
ⓘ
Metra mobile ticketing app NERFINISHED ⓘ Metra ticket vending machines ⓘ |
| usedFor |
determining Metra ticket prices
ⓘ
distance-based fare calculation ⓘ |
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: Zone E Description of subject: Zone E is a Metra commuter rail fare zone in the Chicago metropolitan area used to determine ticket prices based on distance traveled.
Referenced by (1)
Full triples — surface form annotated when it differs from this entity's canonical label.