Profsoyuznaya
E1024031
Profsoyuznaya is a Moscow Metro station serving the Kaluzhsko–Rizhskaya Line in the south of the city.
All labels observed (1)
| Label | Occurrences |
|---|---|
| Profsoyuznaya canonical | 1 |
Statements (46)
| Predicate | Object |
|---|---|
| instanceOf |
Moscow Metro station
ⓘ
underground railway station ⓘ |
| administrativeOkrug | South-Western Administrative Okrug NERFINISHED ⓘ |
| city | Moscow ⓘ |
| country | Russia ⓘ |
| depthBelowSurface_m | 7 ⓘ |
| district | Akademichesky District NERFINISHED ⓘ |
| fareCollection | turnstiles ⓘ |
| gauge | 1520 mm ⓘ |
| hasAccess | subway entrances from Profsoyuznaya Street ⓘ |
| hasAdjacentStation |
Akademicheskaya
NERFINISHED
ⓘ
Novye Cheryomushki NERFINISHED ⓘ |
| hasCode | 103 ⓘ |
| hasColumns | two rows of columns ⓘ |
| hasDesignStyle | Soviet modernist ⓘ |
| hasElectrification | third rail ⓘ |
| hasFareZone | single Moscow Metro zone ⓘ |
| hasLatitude | 55.677 ⓘ |
| hasLineNumber | 6 ⓘ |
| hasLongitude | 37.562 ⓘ |
| hasPassengerInformationSystem | electronic displays ⓘ |
| hasPlatformSurface | granite ⓘ |
| hasRussianName | Профсоюзная NERFINISHED ⓘ |
| hasSafetyFeatures |
CCTV surveillance
ⓘ
public address system ⓘ |
| hasStationLayout | single island platform with central hall ⓘ |
| hasTicketHall | underground vestibule ⓘ |
| hasTransferTo | no direct transfer ⓘ |
| hasVestibules | 2 ⓘ |
| hasWallFinish | ceramic tiles ⓘ |
| lineColor | orange ⓘ |
| lineSection | Kaluzhskaya radius ⓘ |
| locatedIn |
Moscow
ⓘ
Russia ⓘ |
| namedAfter | Profsoyuznaya Street NERFINISHED ⓘ |
| numberOfPlatforms | 1 ⓘ |
| numberOfTracks | 2 ⓘ |
| openingDate | 1962-10-13 ⓘ |
| operatedBy | Moscow Metro NERFINISHED ⓘ |
| ownedBy | Moscow city NERFINISHED ⓘ |
| partOfNetwork | Moscow Metro NERFINISHED ⓘ |
| platformType | island platform ⓘ |
| servesLine | Kaluzhsko–Rizhskaya Line NERFINISHED ⓘ |
| structureType | deep column station ⓘ |
| ticketingSystem | Moscow Metro unified ticketing ⓘ |
| yearOpened | 1962 ⓘ |
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: Profsoyuznaya Description of subject: Profsoyuznaya is a Moscow Metro station serving the Kaluzhsko–Rizhskaya Line in the south of the city.
Referenced by (1)
Full triples — surface form annotated when it differs from this entity's canonical label.