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: ['Margrethe II is the Queen of Denmark where the Greenlandic language is spoken. The country is the location of Aarhus airport in Tirstrup, part of the Central Denmark region.', 'Margrethe II is the Queen of Denmark where one of the languages spoken is Greenlandic. The country is the location of Aarhus airport in Tirstrup, part of the Central Denmark region.']
Example Output: SIMILAR

Example Input: ['Alan Shepard, who was born in New Hampshire and served as a test pilot, is deceased.', 'Alan Shepard (born in New Hampshire) served as a test pilot but is now deceased.']
Example Output: SIMILAR

Example Input: ['The Golden Palace in Riverside serve meals from £20-25, it is a coffee shop which has a customer rating of high, it serves fast food.', 'In Riverside The Golden Palace is rated as high, its a coffee shop which served fast food and meals range from £20-25.']
Example Output:
SIMILAR