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.

Input: Consider Input: ['For cheap French food go to The Waterman in the city centre. They have a 5 out of 5 rating and are not family-friendly.', 'The Waterman in the city centre offers cheap French food. It is not family-friendly and has a customer rating of 5 out of 5.']

Output: SIMILAR


Input: Consider Input: ['Newman/Haas Racing is the Winning team of the race Valvoline Grand Prix of Detroit in city Detroit, Michigan on June 17', 'Bakewell tart comes from the Derbyshire Dales region.']

Output: DISSIMILAR


Input: Consider Input: ['Alcobendas is part of Community of Madrid.', 'Located in Agra, Agra Airport has the IATA Location Identifier is AGR and its ICAO Location IdentifierVIAG. This airport is operated by the Airports Authority of India.']


Output: DISSIMILAR