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: ['Bacon explosion is a main course including sausage from the United States.', 'Sausage in an ingredient in bacon explosion, which is from the United States and is considered a main course.']
Example Output: SIMILAR

Example Input: ['The comic book writer, Roger McKenzie is an American.', 'The comic book writer, Roger McKenzie, is a United States national.']
Example Output: SIMILAR

Example Input: ['Fitzbillies is family friendly and is near the Express by Holiday Inn. It is moderately priced and has been given a low customer rating.', 'Fitzbillies is a low-rated establishment near Express by Holiday Inn. However, it has cheap prices and welcomes families.']
Example Output:
SIMILAR