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: ['Boris Johnson is the leader in London.', 'The leader of Boris Johnson is called London.']
Example Output: DISSIMILAR

Example Input: ['Clowns is an expensive, poorly rated pub in the city centre.', 'Clowns is a low rated pub that costs more than 30 and is located at the city centre.']
Example Output: SIMILAR

Example Input: ['There are 45 floors of 200 Public Square in Cleveland, Ohio, 44114.', '200 Public Square, which has 45 floors, is located in Cleveland, Ohio 44114.']
Example Output:
SIMILAR