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: ['Turkmenistan Airlines is the operating organization for Ashgabat International Airport which is located in Ashgabat. It is elevated 211 metres above sea level and has a runway length of 3800.0.', 'Ashgabat International Airport in Ashgabat is operated by Turkmenistan Airlines. It is located 211 metres above sea level and has a runway length of 3800.0.']
Example Output: SIMILAR

Example Input: ['Wildwood is a pub that serves sushi for 3 and has a low rating.', 'Wildwood is an okay pub with an average of one star reviews.']
Example Output:
SIMILAR