This task is about classifying the similarity of two sentences. The sentences can be classified as (a) SIMILAR - similar to each other, and (b) DISSIMILAR - not similar to each other. Sentences that have the same RDF relationship in terms of [subject, predicate, object] are similar to each other. The input is a list of two sentences and the output is either SIMILAR or DISSIMILAR.

Example Input: ['With a customer rating of 3 out of 5, Zizzi is a high price range coffee shop in the city centre that is not child friendly.', 'Zizzi is a coffee shop in the city centre in the high price range. It is not child friendly and has a rating of 3 out of 5.']
Example Output: SIMILAR

Example Input: ["Birmingham's governing body is Birmingham City Council.", 'The governing body of Birmingham City Council is Birmingham.']
Example Output: DISSIMILAR

Example Input: ['The Waterman provides Indian food in the high price range . It is located in the city centre.', 'The French riverside restaurant, The Waterman is a highly rated restaurant with prices ranging more than £30.  It is not child friendly and has been rated 5 out of 5 by customers.']
Example Output:
DISSIMILAR