This task is about using the specified sentence and converting the sentence to Resource Description Framework (RDF) triplets of the form (subject, predicate object). The RDF triplets generated must be such that the triplets accurately capture the structure and semantics of the input sentence. The input is a sentence and the output is a list of triplets of the form [subject, predicate, object] that capture the relationships present in the sentence. When a sentence has more than 1 RDF triplet possible, the output must contain all of them.

Example Input: The Communications and Corporate Affairs position was held by Jeff Rotman from 2008 to 2009.
Example Output: [['2008-2009', 'COMMUNICATIONS_AND_CORPORATE_AFFAIRS', 'Jeff Rotman']]

Example Input: The Waterman is a French restaurant located near the riverside, it has a price range of £20-£25 and a customer rating of 3 out of 5. This isn't a kid friendly restaurant.
Example Output: [['The Waterman', 'eatType', 'restaurant'], ['The Waterman', 'food', 'French'], ['The Waterman', 'customer rating', '3 out of 5'], ['The Waterman', 'area', 'riverside'], ['The Waterman', 'familyFriendly', 'no']]

Example Input: Beijing Hyundai won the Chinese FA Super Cup in the 2003 season.
Example Output:
[['[TABLECONTEXT]', '[TITLE]', 'Chinese FA Super Cup'], ['2003', 'FA_CUP_WINNER', 'Beijing Hyundai (now Beijing Guoan)'], ['[TABLECONTEXT]', 'SEASON', '2003']]