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: ["Fitzbillies is a family-friendly, inexpensive, Japanese coffee shop. It is located near the city center and doesn't get very good customer ratings.", 'There is Japanese food at Fitzbillies in the city centre. It is a coffee shop with a price range of less than £20 and is family-friendly. It has a low  customer rating.']
Example Output: SIMILAR

Example Input: ['Ampara Hospital is in Eastern Province, Sri Lanka where the leader is Austin Fernando. Sri Jayawardenepura Kotte is the capital of the country.', 'Ampara Hospital is in the Eastern Province, Sri Lanka where Austin Fernando is the leader. Sri Jayawardenepura Kotte is the capital of Sri Lanka.']
Example Output: SIMILAR

Example Input: ['The Bella Sky hotel in Copenhagen has 23 floors, is owned by Bella Center and tenanted by Marriott International.', 'The owner of the AC Hotel Bella Sky Copenhagen which has 23 floors is Bella Center and the tenant is Marriott International.']
Example Output:
SIMILAR