Solve the following sql problem:
In which city's station is a bike borrowed on trip ID4069?

Schema:
SCHEMA:
- Table: station
  - Column: id
    - Samples: [2, 3, 4, 5, 6]
  - Column: name
    - Samples: [San Jose Diridon Caltrain Station, San Jose Civic Center, Santa Clara at Almaden, Adobe on Almaden, San Pedro Square]
  - Column: lat
    - Samples: [37.329732, 37.330698, 37.333988, 37.331415, 37.336721000000004]
  - Column: long
    - Samples: [-121.90178200000001, -121.888979, -121.894902, -121.8932, -121.894074]
  - Column: dock_count
    - Samples: [27, 15, 11, 19, 15]
  - Column: city
    - Samples: [San Jose, San Jose, San Jose, San Jose, San Jose]
  - Column: installation_date
    - Samples: [8/6/2013, 8/5/2013, 8/6/2013, 8/5/2013, 8/7/2013]
- Table: status
  - Column: station_id
    - Samples: [2, 2, 2, 2, 2]
  - Column: bikes_available
    - Samples: [2, 2, 2, 2, 2]
  - Column: docks_available
    - Samples: [25, 25, 25, 25, 25]
  - Column: time
    - Samples: [2013/08/29 12:06:01, 2013/08/29 12:07:01, 2013/08/29 12:08:01, 2013/08/29 12:09:01, 2013/08/29 12:10:01]
- Table: trip
  - Column: id
    - Samples: [4069, 4073, 4074, 4075, 4076]
  - Column: duration
    - Samples: [174, 1067, 1131, 1117, 1118]
  - Column: start_date
    - Samples: [8/29/2013 9:08, 8/29/2013 9:24, 8/29/2013 9:24, 8/29/2013 9:24, 8/29/2013 9:25]
  - Column: start_station_name
    - Samples: [2nd at South Park, South Van Ness at Market, South Van Ness at Market, South Van Ness at Market, South Van Ness at Market]
  - Column: start_station_id
    - Samples: [64, 66, 66, 66, 66]
  - Column: end_date
    - Samples: [8/29/2013 9:11, 8/29/2013 9:42, 8/29/2013 9:43, 8/29/2013 9:43, 8/29/2013 9:43]
  - Column: end_station_name
    - Samples: [2nd at South Park, San Francisco Caltrain 2 (330 Townsend), San Francisco Caltrain 2 (330 Townsend), San Francisco Caltrain 2 (330 Townsend), San Francisco Caltrain 2 (330 Townsend)]
  - Column: end_station_id
    - Samples: [64, 69, 69, 69, 69]
  - Column: bike_id
    - Samples: [288, 321, 317, 316, 322]
  - Column: subscription_type
    - Samples: [Subscriber, Subscriber, Subscriber, Subscriber, Subscriber]
  - Column: zip_code
    - Samples: [94114, 94703, 94115, 94122, 94597]
- Table: weather
  - Column: date
    - Samples: [8/29/2013, 8/30/2013, 8/31/2013, 9/1/2013, 9/2/2013]
  - Column: max_temperature_f
    - Samples: [74, 78, 71, 74, 75]
  - Column: mean_temperature_f
    - Samples: [68, 69, 64, 66, 69]
  - Column: min_temperature_f
    - Samples: [61, 60, 57, 58, 62]
  - Column: max_dew_point_f
    - Samples: [61, 61, 57, 60, 61]
  - Column: mean_dew_point_f
    - Samples: [58, 58, 56, 56, 60]
  - Column: min_dew_point_f
    - Samples: [56, 56, 54, 53, 58]
  - Column: max_humidity
    - Samples: [93, 90, 93, 87, 93]
  - Column: mean_humidity
    - Samples: [75, 70, 75, 68, 77]
  - Column: min_humidity
    - Samples: [57, 50, 57, 49, 61]
  - Column: max_sea_level_pressure_inches
    - Samples: [30.07, 30.05, 30.0, 29.96, 29.97]
  - Column: mean_sea_level_pressure_inches
    - Samples: [30.02, 30.0, 29.96, 29.93, 29.94]
  - Column: min_sea_level_pressure_inches
    - Samples: [29.97, 29.93, 29.92, 29.91, 29.9]
  - Column: max_visibility_miles
    - Samples: [10, 10, 10, 10, 10]
  - Column: mean_visibility_miles
    - Samples: [10, 10, 10, 10, 10]
  - Column: min_visibility_miles
    - Samples: [10, 7, 10, 10, 6]
  - Column: max_wind_Speed_mph
    - Samples: [23, 29, 26, 25, 23]
  - Column: mean_wind_speed_mph
    - Samples: [11, 13, 15, 13, 12]
  - Column: max_gust_speed_mph
    - Samples: [28, 35, 31, 29, 30]
  - Column: precipitation_inches
    - Samples: [0, 0, 0, 0, 0]
  - Column: cloud_cover
    - Samples: [4, 2, 4, 4, 6]
  - Column: events
    - Samples: [, , , , ]
  - Column: wind_dir_degrees
    - Samples: [286, 291, 284, 284, 277]
  - Column: zip_code
    - Samples: [94107, 94107, 94107, 94107, 94107]

SELECT T2.city FROM trip AS T1 INNER JOIN station AS T2 ON T2.name = T1.start_station_name WHERE T1.id = 4069