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: ['Curitiba is in Brazil.', 'Brazil is located in Curitiba.']
Example Output: DISSIMILAR

Example Input: ['Sweet potato is an ingredient in Binignit which comes from the Philippines.', 'Binignit comes from the Philippines and one of the ingredients is sweet potato.']
Example Output: SIMILAR

Example Input: ['Clowns is a new coffee shop serving French cuisine and with a low customer rating. It is located riverside and it is near Clare Hall.', 'A poorly rated, inexpensive fast food restaurant in town is Browns Cambridge.']
Example Output:
DISSIMILAR