Adlington railway station
E494320
Adlington railway station is a local rail stop in Lancashire, England, serving the village of Adlington on the Manchester–Preston line.
All labels observed (1)
| Label | Occurrences |
|---|---|
| Adlington railway station canonical | 2 |
Statements (47)
| Predicate | Object |
|---|---|
| instanceOf |
railway station
ⓘ
railway station in the United Kingdom ⓘ |
| category | local railway station ⓘ |
| country | United Kingdom ⓘ |
| electrificationStatus | on an electrified route ⓘ |
| electrificationSystem | 25 kV AC overhead (route) ⓘ |
| fareZone | Northern Trains fare system ⓘ |
| hasAccess |
pedestrian access
ⓘ
road access ⓘ |
| hasFacility |
bicycle storage
ⓘ
car park ⓘ customer information screens ⓘ step-free access ⓘ ticket machines ⓘ timetable posters ⓘ waiting shelters ⓘ |
| hasLanguage | English signage ⓘ |
| hasPassengerUsage | commuter-oriented ⓘ |
| hasStationCode | ADL NERFINISHED ⓘ |
| lineServed | Manchester–Preston line NERFINISHED ⓘ |
| locatedIn |
Adlington
NERFINISHED
ⓘ
England ⓘ Lancashire ⓘ |
| locatedInAdministrativeTerritorialEntity | Chorley borough NERFINISHED ⓘ |
| locatedNear |
Chorley
NERFINISHED
ⓘ
Rivington area NERFINISHED ⓘ |
| locatedOn | Manchester to Preston railway route NERFINISHED ⓘ |
| operator | Northern Trains ⓘ |
| owner | Network Rail NERFINISHED ⓘ |
| partOf | Manchester–Preston railway corridor NERFINISHED ⓘ |
| platformCount | 2 ⓘ |
| railGauge | standard gauge ⓘ |
| railwayNetwork | National Rail ⓘ |
| safetySystem | modern signalling ⓘ |
| servedBy | Northern Trains NERFINISHED ⓘ |
| serves |
local commuter traffic
ⓘ
village of Adlington ⓘ |
| serviceType |
local stopping services
ⓘ
regional services ⓘ |
| structureType | at-grade ⓘ |
| ticketingSystem | National Rail ticketing ⓘ |
| timezone | Europe/London NERFINISHED ⓘ |
| trackCount | 2 ⓘ |
| typicalDestinations |
Bolton
NERFINISHED
ⓘ
Manchester NERFINISHED ⓘ Preston NERFINISHED ⓘ |
| usedFor | passenger rail transport ⓘ |
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: Adlington railway station Description of subject: Adlington railway station is a local rail stop in Lancashire, England, serving the village of Adlington on the Manchester–Preston line.
Referenced by (2)
Full triples — surface form annotated when it differs from this entity's canonical label.