Terminal A Station
E328286
Terminal A Station is an AirTrain Newark stop serving passengers traveling to and from Terminal A at Newark Liberty International Airport.
All labels observed (1)
| Label | Occurrences |
|---|---|
| Terminal A Station canonical | 3 |
Statements (30)
| Predicate | Object |
|---|---|
| instanceOf |
AirTrain Newark station
ⓘ
airport rail station ⓘ |
| accessVia |
Terminal A arrivals level
ⓘ
Terminal A departures level ⓘ |
| connectedTo |
Rail Link Station
ⓘ
Terminal B Station ⓘ Terminal C Station ⓘ |
| connectsTo |
airport parking facilities
ⓘ
airport shuttle services ⓘ |
| fareControl | inside airport fare-free zone ⓘ |
| fareSystem | no separate fare within airport ⓘ |
| hasPlatformType | island platform ⓘ |
| hasService | 24-hour service ⓘ |
| line |
AirTrain Newark
ⓘ
surface form:
AirTrain Newark Terminal Loop
|
| locatedIn |
New Jersey, United States
ⓘ
surface form:
New Jersey
Newark ⓘ Newark Liberty International Airport ⓘ United States of America ⓘ
surface form:
United States
|
| openedForService | after opening of AirTrain Newark ⓘ |
| operator | Port Authority of New York and New Jersey ⓘ |
| ownedBy | Port Authority of New York and New Jersey ⓘ |
| partOf | AirTrain Newark ⓘ |
| primaryUse | passenger transfer ⓘ |
| serves | Terminal A ⓘ |
| servesAirport | Newark Liberty International Airport ⓘ |
| servesTerminal | new Terminal A complex ⓘ |
| servesTypeOfPassenger |
airline passengers
ⓘ
airport employees ⓘ |
| structureType | elevated station ⓘ |
| transportationMode | people mover ⓘ |
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: Terminal A Station Description of subject: Terminal A Station is an AirTrain Newark stop serving passengers traveling to and from Terminal A at Newark Liberty International Airport.
Referenced by (3)
Full triples — surface form annotated when it differs from this entity's canonical label.