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: ['Located near Rainbow Vegetarian Café is  Strada a French restaurant that serves food for more than £30.  It has high ratings but is not child friendly.', 'Strada, a French restaurant near Rainbow Vegetarian Café, has a 5 out of 5 customer rating but is not family-friendly and has a price of more than 30.']
Example Output: SIMILAR

Example Input: ['The British Arabs are an English ethnic group.', 'One of the ethnic groups found in England is the British Arabs.']
Example Output: SIMILAR

Example Input: ['103 Colmore Row has 23 floors and was completed in 1976 at Colmore Row, Birmingham, England.', '103 Colmore Row is in Birmingham, England, it was completed in 1976 and has 23 floors.']
Example Output:
SIMILAR