connectsCity

P4245
predicate

Indicates a relationship where one entity serves as a link or route that joins or provides direct access between two cities.

All labels observed (18)

Label Occurrences
connectsCity canonical 8,564
connectsToCity 619
connectedCity 326

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: connectsCity
Generated description
Indicates a relationship where one entity serves as a link or route that joins or provides direct access between two cities.

Sample triples (9,871)

Subject Object
Mexican Federal Highway 2 Reynosa
Mexican Federal Highway 2 Matamoros
Georgia State Route 53 Rome, Georgia
Georgia State Route 53 Calhoun, Georgia
Georgia State Route 53 Jasper, Georgia
Georgia State Route 53 Dawsonville
surface form: Dawsonville, Georgia
Georgia State Route 53 Gainesville, Georgia
Georgia State Route 53 Hoschton, Georgia
Sam Rayburn Tollway Plano, Texas
Sam Rayburn Tollway Frisco, Texas
Sam Rayburn Tollway City of The Colony, Texas
surface form: The Colony, Texas
Sam Rayburn Tollway Lewisville, Texas
Sam Rayburn Tollway McKinney, Texas
Sam Rayburn Tollway Carrollton
surface form: Carrollton, Texas
Trinity Railway Express Dallas, Texas
surface form: Dallas
Trinity Railway Express Fort Worth, Texas
surface form: Fort Worth
Trinity Railway Express Irving, Texas
surface form: Irving
Trinity Railway Express Arlington
Trinity Railway Express Grand Prairie
Glasgow–Carlisle route Glasgow
Glasgow–Carlisle route Carlisle
Portuguese national rail network Lisbon
Portuguese national rail network Porto
Portuguese national rail network Coimbra
Portuguese national rail network Braga
Portuguese national rail network Faro
Portuguese national rail network Évora
Portuguese national rail network Guimarães
Portuguese national rail network Aveiro
Portuguese national rail network Viana do Castelo
Portuguese national rail network Vila Real
Portuguese national rail network Covilhã
Portuguese national rail network Beja District
surface form: Beja
Tokaido Shinkansen Tokyo
Tokaido Shinkansen Nagoya
Tokaido Shinkansen Kyoto
Tokaido Shinkansen Osaka
U.S. Route 501 Durham, North Carolina
U.S. Route 501 Chapel Hill, North Carolina
U.S. Route 501 Roxboro, North Carolina
U.S. Route 501 South Boston, Virginia
U.S. Route 501 Lynchburg, Virginia
U.S. Route 501 Conway, South Carolina
U.S. Route 501 Myrtle Beach, South Carolina
Oregon Route 34 Corvallis, Oregon
Oregon Route 34 Lebanon, Oregon
Oregon Route 34 Waldport, Oregon
Goethals Bridge Elizabeth
Wuhan–Jiujiang Passenger Railway Wuhan
Wuhan–Jiujiang Passenger Railway Jiujiang