dailyRidership

P10158
predicate

Indicates the typical number of people who use or ride a given transportation service each day.

All labels observed (7)

Label Occurrences
dailyRidership canonical 35
hasDailyRidership 14
dailyPassengers 3

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: dailyRidership
Generated description
Indicates the typical number of people who use or ride a given transportation service each day.

Sample triples (56)

Subject Object
Penn Station (New York City) hundreds of thousands of passengers
Moscow Metro several million passengers
RER B line over 900000 passengers
Beijing Subway millions of passengers
Chicago "L" hundreds of thousands of passengers
Madrid Metro over 2 million passengers
Shanghai Metro over 10 million passengers on busy days
Mumbai Suburban Railway millions of passengers
Mumbai Monorail relatively low compared to design capacity
South Shore Line tens of thousands of passengers via predicate surface "hasDailyRidership"
São Paulo Metro over 4,000,000 passengers
MRT Line 3 hundreds of thousands of passengers
Tokaido Shinkansen one of the highest of any high-speed rail line in the world
Metrorail hundreds of thousands of passengers
Châtelet–Les Halles over 750000 via predicate surface "dailyPassengers"
Turin Metro hundreds of thousands of passengers
Montreal Metro over 1 million passengers
Kyiv Metro over 1 million passengers
Seoul Metropolitan Subway millions of passengers
STC Metro several million passengers
Saint Petersburg Metro over 2 million passengers
Daejeon Metro tens of thousands of passengers via predicate surface "hasDailyRidership"
Alweg Monorail primarily tourists and event-goers via predicate surface "hasDailyRidership"
New York City public transportation network millions of passengers via predicate surface "dailyRidershipApprox"
Guangzhou BRT over 800000 passengers
London public transport network millions via predicate surface "dailyPassengerJourneys"
Tokyo Metro Marunouchi Line over 1 million passengers
Western Line
surface form: Western Line (Mumbai Suburban Railway)
millions of passengers
Central–Mid-Levels Escalator over 70,000 people
Caracas Metro hundreds of thousands of passengers
Pennsylvania Station hundreds of thousands via predicate surface "dailyPassengers"
Line 10 (Beijing Subway) several million passengers
Orange Line Metro Train over 200000
Orange Line Metro Train Lahore over 250,000 passengers via predicate surface "dailyRidershipCapacity"
Nakameguro Station high via predicate surface "hasDailyRidership"
Esaka Station high commuter volume via predicate surface "hasDailyRidership"
Ermita high via predicate surface "hasDailyRidership"
Gimpo Goldline over 80,000 passengers (approximate, varies by year)
Metro de la Ciudad de México one of the highest in the world
Noord/Zuidlijn over 100000 passengers via predicate surface "hasDailyRidership"
Lima Metro hundreds of thousands of passengers
Lindenwold Line tens of thousands of passengers via predicate surface "hasDailyRidership"
KRL Commuterline millions of passengers
метрополитен Санкт-Петербурга миллионы пассажиров в день
Northwest–Southwest Line tens of thousands of passengers via predicate surface "hasDailyRidership"
Tehran Metro Line 1 high via predicate surface "hasDailyRidership"
People's Square (Shanghai Metro) very high via predicate surface "hasDailyRidership"
Park Pobedy metro station tens of thousands of passengers via predicate surface "hasDailyRidership"
Bilbao metro hundreds of thousands of passengers
Tehran public transport network millions of passenger trips