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 price range is high for a 1 out of 5 rated place. The Wildwood is a pub with Italian food.', 'Wildwood is an expensive but low rated Italian pub.']
Example Output: SIMILAR

Example Input: ['The 13/31 runway at Atlantic City International Airport, operated by the Port Authority of New York and New Jersey, is 1873 in length.', 'The Port Authority of New York and New Jersey is the operating organisation of Atlantic City International airport., This airport has a runway length of 1873.0 metres and a runway named 13/31.']
Example Output: SIMILAR

Example Input: ['A coffee shop named Fitzbillies is located in the city centre area. It has a low customer rating with fast food and a price range less then£20. It is family-friendly.', 'A family-friendly coffee shop named Fitzbillies is located in the city centre area. It has a low customer rating with fast food and a price range less then£20.']
Example Output:
SIMILAR