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: ['On Riverside is a pub, Clowns. Moderately priced, customers rate it 3 out of 5.', 'The pub, Clowns, is in the riverside area and has a customer rating of 3 out of 5 with prices in the moderate range.']
Example Output: SIMILAR

Example Input: ['AWH Engineering College has a staff size of 250 and is in the city of Kuttikkattoor.', 'AWH Engineering College in Kuttikkattoor has an academic staff size of 250 people.']
Example Output: SIMILAR

Example Input: ['Cocum is a non-family-friendly pub. It has a price range of less than £20 and a low customer rating.', 'Cocum is a pub that is not family-friendly. It has a low customer rating and a price range of less than £20.']
Example Output:
SIMILAR