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: ['The Eagle is a cheap, family-friendly, Italian coffee shop near Burger King, in riverside. It has an average customer rating.', 'The Eagle is a cheap, family-friendly, Italian coffee shop near Burger King, in riverside, with an average customer rating.']
Example Output: SIMILAR

Example Input: ['20 Fenchurch Street, London was designed by the architect Rafael Vinoly. Boris Johnson is a leader of London which is lead by the European Parliament.', '20 Fenchurch Street, a Rafael Vinoly building, is in London, a city linked to the European Parliament and headed by Boris Johnson as Mayor.']
Example Output: SIMILAR

Example Input: ['The Philippine dish of Binignit contains banana as an ingredient.', 'Alimentum restaurant offers moderately priced Chinese food that is not kid friendly. It is located at riverside.']
Example Output:
DISSIMILAR