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: ['Clowns is a coffee shop providing Indian food It is located in the riverside. It is near Clare Hall. Its customer rating is 5 out of 5.', 'Clowns is an Indian coffee shop by the river, not far from Clare Hall. It has an excellent customer rating.']
Example Output: SIMILAR

Example Input: ['108 St Georges Terrace has a floor count of 50.', 'There are 108 St Georges Terrace floors at 50.']
Example Output: DISSIMILAR

Example Input: ['The Pakistan Civil Aviation Authority is the operating organisation of the Allama Iqbal International Airport in Punjab, Pakistan which serves the city of Lahore. The airport has a runway named 18L/36R which is 3310.0 in length.', 'Allama Iqbal International Airport, which has a runway name of 18L/36R and length of 3,310, is located in Punjab Pakistan. The airport serves the city of Lahore and is governed by the Pakistan Civil Aviation Authority.']
Example Output:
SIMILAR