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: ['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: ['Blue Spice in riverside was rate 3 out of 5 and has an average price range of £20-25, however it is not kid friendly.', 'The average priced Japanese coffee shop - Fitzbillies - is child friendly and priced modestly. It is in the city centre, and has been rated highly by customers.']
Example Output: DISSIMILAR

Example Input: ['The Athens International Airport serves the city of Athens.', 'Athens International Airport International Airport serves the city of Athens.']
Example Output:
DISSIMILAR