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: ['Broxbourne Station has operator Uno.', 'Newport Beach is a city in Orange County.']
Example Output: DISSIMILAR

Example Input: ['A Severed Wasp originates from the United States and is written in English. The leader of the US is Barack Obama and one of the ethnic groups in the country are the Asian Americans.', 'A Severed Wasp is from the U.S. and is written in English. Barack Obama is the leader of the U.S. One ethnic group in the U.S. is Asian Americans.']
Example Output: SIMILAR

Example Input: ['A.F.C. Blackpool has its grounds at Jepson Way and has 1500 members.', 'A.F.C. Blackpool has 1500 members and play at their ground, Jepson Way.']
Example Output:
SIMILAR