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: ['Sweet potato, one of the ingredients in Binignit, is also paired with banana, to make a dessert from the Mindanao region in the Phillippines.', 'Some of the ingredients found in the dessert Binignit are banana and sweet potato. The dish comes from Mindanao and is found in the Philippines.']
Example Output: SIMILAR

Example Input: ['Wildwood Pub has one star and sells spaghetti for a moderate price.', 'For moderately priced pasta, try 1-star rated Wildwood pub.']
Example Output: SIMILAR

Example Input: ['Michele Marcolini has been manager of AC Lumezzane and played for Torino FC.', 'The percentage of all immigrants in 2007 in the country is 1.7% with the same percentage in 2008 being 1.8%.']
Example Output:
DISSIMILAR