Solve the following sql problem:
What is the name of the establishment with the highest number of low risk violations in 2014?

Schema:
SCHEMA:
- Table: businesses
  - Column: business_id
    - Samples: [10, 24, 31, 45, 48]
  - Column: name
    - Samples: [Tiramisu Kitchen, OMNI S.F. Hotel - 2nd Floor Pantry, Norman's Ice Cream and Freezes, CHARLIE'S DELI CAFE, ART'S CAFE]
  - Column: address
    - Samples: [033 Belden Pl, 500 California St, 2nd  Floor, 2801 Leavenworth St, 3202 FOLSOM St, 747 IRVING St]
  - Column: city
    - Samples: [San Francisco, San Francisco, San Francisco, S.F., SAN FRANCISCO]
  - Column: postal_code
    - Samples: [94104, 94104, 94133, 94110, 94122]
  - Column: latitude
    - Samples: [37.7911, 37.7929, 37.8072, 37.7471, 37.764]
  - Column: longitude
    - Samples: [-122.404, -122.403, -122.419, -122.414, -122.466]
  - Column: phone_number
    - Samples: [None, None, None, None, None]
  - Column: tax_code
    - Samples: [H24, H24, H24, H24, H24]
  - Column: business_certificate
    - Samples: [779059, 352312, 346882, 340024, 318022]
  - Column: application_date
    - Samples: [None, None, None, 2001-10-10, None]
  - Column: owner_name
    - Samples: [Tiramisu LLC, OMNI San Francisco Hotel Corp, Norman Antiforda, HARB, CHARLES AND KRISTIN, YOON HAE RYONG]
  - Column: owner_address
    - Samples: [33 Belden St, 500 California St, 2nd Floor, 2801 Leavenworth St, 1150 SANCHEZ, 1567 FUNSTON AVE]
  - Column: owner_city
    - Samples: [San Francisco, San Francisco, San Francisco, S.F., SAN FRANCISCO]
  - Column: owner_state
    - Samples: [CA, CA, CA, CA, CA]
  - Column: owner_zip
    - Samples: [94104, 94104, 94133, 94114, 94122]
- Table: inspections
  - Column: business_id
    - Samples: [10, 10, 10, 10, 10]
  - Column: score
    - Samples: [92, None, 94, None, 82]
  - Column: date
    - Samples: [2014-01-14, 2014-01-24, 2014-07-29, 2014-08-07, 2016-05-03]
  - Column: type
    - Samples: [Routine - Unscheduled, Reinspection/Followup, Routine - Unscheduled, Reinspection/Followup, Routine - Unscheduled]
- Table: violations
  - Column: business_id
    - Samples: [10, 10, 10, 10, 10]
  - Column: date
    - Samples: [2014-07-29, 2014-07-29, 2014-01-14, 2014-01-14, 2014-01-14]
  - Column: violation_type_id
    - Samples: [103129, 103144, 103119, 103145, 103154]
  - Column: risk_category
    - Samples: [Moderate Risk, Low Risk, Moderate Risk, Low Risk, Low Risk]
  - Column: description
    - Samples: [Insufficient hot water or running water, Unapproved or unmaintained equipment or utensils, Inadequate and inaccessible handwashing facilities, Improper storage of equipment utensils or linens, Unclean or degraded floors walls or ceilings]

SELECT T2.name FROM violations AS T1 INNER JOIN businesses AS T2 ON T1.business_id = T2.business_id WHERE STRFTIME('%Y', T1.`date`) = '2014' AND T1.risk_category = 'Low Risk' GROUP BY T2.name ORDER BY COUNT(T2.business_id) DESC LIMIT 1