You are now a sqlite data analyst, and you are given a database schema as follows:

    【Schema】
    【DB_ID】 formula_1
【Schema】
# Table: drivers
[
(driverId:INTEGER, Primary Key, Examples: [452, 625, 103]),
(driverRef:TEXT, Examples: [hamilton, heidfeld, rosberg]),
(number:INTEGER, Examples: [44, 6, 14]),
(code:TEXT, Examples: [HAM, HEI, ROS]),
(forename:TEXT, Examples: [Lewis, Nick, Nico]),
(surname:TEXT, Examples: [Hamilton, Heidfeld, Rosberg]),
(dob:DATE, Examples: [1985-01-07]),
(nationality:TEXT, Examples: [British, German, Spanish]),
(url:TEXT)
]
# Table: seasons
[
(year:INTEGER, Primary Key, Examples: [1950, 1951, 1952]),
(url:TEXT)
]
# Table: lapTimes
[
(raceId:INTEGER, Primary Key, Examples: [1, 2, 3]),
(driverId:INTEGER, Primary Key, Examples: [1, 2, 3]),
(lap:INTEGER, Primary Key, Examples: [1, 2, 3]),
(position:INTEGER, Examples: [13, 12, 11]),
(time:TEXT, Examples: [1:49.088, 1:33.740, 1:31.600]),
(milliseconds:INTEGER, Examples: [109088, 93740, 91600])
]
# Table: status
[
(statusId:INTEGER, Primary Key, Examples: [1, 2, 3]),
(status:TEXT, Examples: [Finished, Disqualified, Accident])
]
# Table: constructors
[
(constructorId:INTEGER, Primary Key, Examples: [147, 39, 54]),
(constructorRef:TEXT, Examples: [mclaren, bmw_sauber, williams]),
(name:TEXT, Examples: [AFM, AGS, ATS]),
(nationality:TEXT, Examples: [British, German, French]),
(url:TEXT)
]
# Table: pitStops
[
(raceId:INTEGER, Primary Key, Examples: [841, 842, 843]),
(driverId:INTEGER, Primary Key, Examples: [1, 2, 3]),
(stop:INTEGER, Primary Key, Examples: [1, 2, 3]),
(lap:INTEGER, Examples: [16, 36, 15]),
(time:TEXT, Examples: [17:28:24, 17:59:29, 17:27:41]),
(duration:TEXT, Examples: [23.227, 23.199, 22.994]),
(milliseconds:INTEGER, Examples: [23227, 23199, 22994])
]
# Table: qualifying
[
(qualifyId:INTEGER, Primary Key, Examples: [1, 2, 3]),
(raceId:INTEGER, Examples: [18, 19, 20]),
(driverId:INTEGER, Examples: [1, 9, 5]),
(constructorId:INTEGER, Examples: [1, 2, 6]),
(number:INTEGER, Examples: [22, 4, 23]),
(position:INTEGER, Examples: [1, 2, 3]),
(q1:TEXT, Examples: [1:26.572, 1:26.103, 1:25.664]),
(q2:TEXT, Examples: [1:25.187, 1:25.315, 1:25.452]),
(q3:TEXT, Examples: [1:26.714, 1:26.869, 1:27.079])
]
# Table: races
[
(raceId:INTEGER, Primary Key, Examples: [837, 833, 838]),
(year:INTEGER, Examples: [2009, 2008, 2007]),
(round:INTEGER, Examples: [1, 2, 3]),
(circuitId:INTEGER, Examples: [1, 2, 17]),
(name:TEXT, Examples: [Australian Grand Prix]),
(date:DATE, Examples: [2009-03-29]),
(time:TEXT, Examples: [06:00:00, 09:00:00, 07:00:00]),
(url:TEXT)
]
# Table: results
[
(resultId:INTEGER, Primary Key, Examples: [1, 2, 3]),
(raceId:INTEGER, Examples: [18, 19, 20]),
(driverId:INTEGER, Examples: [1, 2, 3]),
(constructorId:INTEGER, Examples: [1, 2, 3]),
(number:INTEGER, Examples: [22, 3, 7]),
(grid:INTEGER, Examples: [1, 5, 7]),
(position:INTEGER, Examples: [1, 2, 3]),
(positionText:TEXT, Examples: [1, 2, 3]),
(positionOrder:INTEGER, Examples: [1, 2, 3]),
(points:REAL, Examples: [10.0, 8.0, 6.0]),
(laps:INTEGER, Examples: [58, 57, 55]),
(time:TEXT, Examples: [1:34:50.616, +5.478, +8.163]),
(milliseconds:INTEGER, Examples: [5690616, 5696094, 5698779]),
(fastestLap:INTEGER, Examples: [39, 41, 58]),
(rank:INTEGER, Examples: [2, 3, 5]),
(fastestLapTime:TEXT, Examples: [1:27.452, 1:27.739, 1:28.090]),
(fastestLapSpeed:TEXT, Examples: [218.300, 217.586, 216.719]),
(statusId:INTEGER, Examples: [1, 11, 5])
]
# Table: constructorStandings
[
(constructorStandingsId:INTEGER, Primary Key, Examples: [1, 2, 3]),
(raceId:INTEGER, Examples: [18, 19, 20]),
(constructorId:INTEGER, Examples: [1, 2, 3]),
(points:REAL, Examples: [14.0, 8.0, 9.0]),
(position:INTEGER, Examples: [1, 3, 2]),
(positionText:TEXT, Examples: [1, 3, 2]),
(wins:INTEGER, Examples: [1, 0, 2])
]
# Table: driverStandings
[
(driverStandingsId:INTEGER, Primary Key, Examples: [1, 2, 3]),
(raceId:INTEGER, Examples: [18, 19, 20]),
(driverId:INTEGER, Examples: [1, 2, 3]),
(points:REAL, Examples: [10.0, 8.0, 6.0]),
(position:INTEGER, Examples: [1, 2, 3]),
(positionText:TEXT, Examples: [1, 2, 3]),
(wins:INTEGER, Examples: [1, 0, 2])
]
# Table: circuits
[
(circuitId:INTEGER, Primary Key, Examples: [23, 61, 29]),
(circuitRef:TEXT, Examples: [sepang, bahrain, catalunya]),
(name:TEXT, Examples: [Sepang International Circuit]),
(location:TEXT, Examples: [Kuala Lumpur, Sakhir, Montmeló]),
(country:TEXT, Examples: [Malaysia, Bahrain, Spain]),
(lat:REAL, Examples: [2.76083, 26.0325, 41.57]),
(lng:REAL, Examples: [101.738, 50.5106, 2.26111]),
(alt:INTEGER),
(url:TEXT)
]
# Table: constructorResults
[
(constructorResultsId:INTEGER, Primary Key, Examples: [1, 2, 3]),
(raceId:INTEGER, Examples: [18, 19, 20]),
(constructorId:INTEGER, Examples: [1, 2, 3]),
(points:REAL, Examples: [14.0, 8.0, 9.0]),
(status:TEXT, Examples: [D])
]
【Foreign keys】
lapTimes.raceId=races.raceId
lapTimes.driverId=drivers.driverId
pitStops.raceId=races.raceId
pitStops.driverId=drivers.driverId
qualifying.raceId=races.raceId
qualifying.driverId=drivers.driverId
qualifying.constructorId=constructors.constructorId
races.year=seasons.year
races.circuitId=circuits.circuitId
results.raceId=races.raceId
results.driverId=drivers.driverId
results.constructorId=constructors.constructorId
results.statusId=status.statusId
constructorStandings.raceId=races.raceId
constructorStandings.constructorId=constructors.constructorId
driverStandings.raceId=races.raceId
driverStandings.driverId=drivers.driverId
constructorResults.raceId=races.raceId
constructorResults.constructorId=constructors.constructorId

    【Question】
    Please give more information about the Formula_1 races that used the Silverstone Circuit. more information refers to url

    【Evidence】
    more information refers to url

    Please read and understand the database schema carefully, and generate an executable SQL based on the user's question and evidence. 

SQL: SELECT DISTINCT T1.url FROM circuits AS T1 INNER JOIN races AS T2 ON T2.circuitID = T1.circuitId WHERE T1.name = 'Silverstone Circuit'