Old Town Transit Center
E257264
Old Town Transit Center is a major public transportation hub in San Diego that connects trolley, bus, and regional rail services for the Old Town area and beyond.
All labels observed (1)
| Label | Occurrences |
|---|---|
| Old Town Transit Center canonical | 4 |
Statements (50)
| Predicate | Object |
|---|---|
| instanceOf |
bus station
ⓘ
commuter rail station ⓘ light rail station ⓘ train station ⓘ transportation hub ⓘ |
| accessible | yes ⓘ |
| category |
Amtrak stations in California
ⓘ
COASTER stations ⓘ Railway stations in San Diego ⓘ San Diego Trolley stations ⓘ |
| connectsTo |
Downtown San Diego
ⓘ
La Jolla, California, United States ⓘ
surface form:
La Jolla area
Mission Valley ⓘ North County coastal cities ⓘ San Diego International Airport via bus ⓘ |
| country |
United States of America
ⓘ
surface form:
United States
|
| electrified | yes (trolley tracks) ⓘ |
| fareSystem | Compass Card ⓘ |
| hasFacility |
bicycle parking
ⓘ
park-and-ride parking ⓘ sheltered waiting areas ⓘ ticket vending machines ⓘ |
| hasPlatform |
island platform
ⓘ
side platforms ⓘ |
| hasService |
commuter rail
ⓘ
intercity rail ⓘ light rail ⓘ local bus ⓘ regional bus ⓘ |
| locatedIn |
California, United States
ⓘ
surface form:
California
Old Town, San Diego ⓘ San Diego ⓘ |
| nearbyAttraction |
Old Town San Diego State Historic Park
ⓘ
Presidio Park, San Diego ⓘ
surface form:
Presidio Park
|
| nearbyRoad |
Interstate 5
ⓘ
Interstate 8 ⓘ |
| opened | 1980s ⓘ |
| operator |
Amtrak
ⓘ
North County Transit District ⓘ San Diego Metropolitan Transit System ⓘ |
| owner | San Diego Metropolitan Transit System ⓘ |
| publicTransportService |
MTS bus routes
ⓘ
NCTD BREEZE bus routes ⓘ |
| railLine |
Amtrak California
ⓘ
surface form:
Amtrak Pacific Surfliner
COASTER ⓘ San Diego Trolley ⓘ
surface form:
San Diego Trolley Blue Line
San Diego Trolley ⓘ
surface form:
San Diego Trolley Green Line
|
| serves |
Old Town neighborhood
ⓘ
San Diego metropolitan area ⓘ |
| structureType | at-grade station ⓘ |
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: Old Town Transit Center Description of subject: Old Town Transit Center is a major public transportation hub in San Diego that connects trolley, bus, and regional rail services for the Old Town area and beyond.
Referenced by (4)
Full triples — surface form annotated when it differs from this entity's canonical label.