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: ['United States citizen Thomas Chorny got 8th Rank with the Time of 9:24.26.', 'The Asser Levy Public Baths are located in New York City, Manhattan, New York, United States. The leader of Manhattan is Cyrus Vance Jr.']
Example Output: DISSIMILAR

Example Input: ['Browns Cambridge is a low priced Japanese restaurant with a three star rating in the city centre.', 'Located in the city centre, Browns Cambridge is a low priced Japanese restaurant with a three star rating.']
Example Output: SIMILAR

Example Input: ['Bionico, a dessert found in Mexico, is made from sour cream, chopped fruits, condensed milk, granola, raisins, and shredded coconut. Bionico comes from the Jalisco region.', 'Bionico is a Mexican dessert dish from the region of Jalisco and the main ingredients are chopped fruits, sour cream, condensed milk, granola, shredded coconut and raisins.']
Example Output:
SIMILAR