numberOfStations
P1301
predicate
Indicates the total count of stations associated with or contained by a given entity.
All labels observed (21)
| Label | Occurrences |
|---|---|
| numberOfStations canonical | 454 |
| hasNumberOfStations | 34 |
| numberOfStops | 5 |
| hasStationCount | 3 |
| typicalNumberOfStations | 2 |
| 駅数 | 2 |
| hasNumberOfCBDStations | 1 |
| hasNumberOfFireStations | 1 |
| hasNumberOfTelevisionStations | 1 |
| hasNumberOfUndergroundStations | 1 |
| lineNumberOfStations | 1 |
| numberOfFireStations | 1 |
| numberOfPowerStations | 1 |
| numberOfRailStations | 1 |
| numberOfStationsBuilt | 1 |
| numberOfStationsOnRoute | 1 |
| numberOfStationsOperated | 1 |
| numberOfSurfaceStations | 1 |
| ownedAndOperatedStationsCountApprox | 1 |
| totalStations | 1 |
| trainingStationsCapacity | 1 |
Description generation (PDg)
The one-sentence description above was generated by prompting gpt-5.1 with the predicate name and this instruction.
Instruction
Given a predicate that represents a relationship or action between entities, generate a one-sentence description explaining its meaning. # Instructions Focus on describing the relationship, not the entities themselves. # Response Format Begin the description with \' Indicates...\'
Input
Predicate: numberOfStations
Generated description
Indicates the total count of stations associated with or contained by a given entity.
Sample triples (515)
| Subject | Object |
|---|---|
| Washington Metro | 90+ ⓘ |
| AirTrain JFK | 10 ⓘ |
|
Washington Metro
linked to:
Metro
|
90+ ⓘ |
| Caltrain | over 30 ⓘ |
| Baltimore Light RailLink | 30+ ⓘ |
| Disney Skyliner | 6 ⓘ |
| Moscow Metro | more than 200 ⓘ |
| Walt Disney World Railroad | 3 ⓘ |
|
Line 3 Scarborough
linked to:
Line 3 Scarborough (closed in 2023)
|
6 ⓘ |
| Santiago Metro | over 130 ⓘ |
| Beijing Subway | over 400 ⓘ |
| Dubai Tram | 11 ⓘ |
| Trafford Park Line | 6 ⓘ |
| Mattapan Trolley | 8 ⓘ |
| BART | 50+ ⓘ |
| RER C | more than 80 ⓘ |
| 42nd Street Shuttle | 2 ⓘ |
| Glasgow Subway | 15 ⓘ |
| Metropolitan Atlanta Rapid Transit Authority | 38 via predicate surface "numberOfRailStations" ⓘ |
| Orlyval | 3 ⓘ |
| Stations of the Cross | 14 via predicate surface "typicalNumberOfStations" ⓘ |
| MBTA Green Line D branch | 24 ⓘ |
| Line 4 Sheppard | 5 via predicate surface "hasNumberOfStations" ⓘ |
| Mexico City Metro | 190+ ⓘ |
| Pink Line | 22 ⓘ |
| Lisbon Metro | over 50 ⓘ |
|
Yellow Line (CTA)
linked to:
Yellow Line
|
3 ⓘ |
| Delhi Metro | more than 280 ⓘ |
| RideKC Streetcar | 10 ⓘ |
| PATH | 13 ⓘ |
| PATCO Speedline | 13 via predicate surface "hasNumberOfStations" ⓘ |
| Léman Express | approximately 45 ⓘ |
| Tokyo Metro Ginza Line | 19 ⓘ |
| Oslo Metro | over 100 ⓘ |
| Oslo Tramway | over 100 stops via predicate surface "numberOfStops" ⓘ |
| ABC Owned Television Stations | 8 via predicate surface "hasNumberOfStations" ⓘ |
| JR Yamanote Line | 30 ⓘ |
| PHX Sky Train | 5 ⓘ |
| WES Commuter Rail | 5 ⓘ |
| Tokyo Metro Hanzomon Line | 14 ⓘ |
| MBTA Blue Line | 12 ⓘ |
| Madrid Metro | over 300 ⓘ |
| Long Island Rail Road | over 120 ⓘ |
| Staten Island Railway | 22 ⓘ |
| American Broadcasting Company | 8 via predicate surface "ownedAndOperatedStationsCountApprox" ⓘ |
| Baltimore Metro SubwayLink | 14 ⓘ |
| Osaka Metro Sennichimae Line | 14 via predicate surface "hasNumberOfStations" ⓘ |
| Disneyland Monorail System | 2 ⓘ |
| Busan Metro | over 100 ⓘ |
| PATH train system | approximately 13 ⓘ |