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: Dream House was released in 2011.
Example Output: [['Dream House', 'YEAR', '2011']]

Example Input: The Latin for "you sang" is "cantavisti".
Example Output: [['Galician language comparison', 'LATIN', 'cantavisti'], ['Galician language comparison', 'ENGLISH', 'you sang']]

Example Input: The Waterman is a family-friendly, French restaurant with average customer ratings and a price range less than £20 located in the city centre.
Example Output:
[['The Waterman', 'eatType', 'restaurant'], ['The Waterman', 'food', 'French'], ['The Waterman', 'priceRange', 'less than £20'], ['The Waterman', 'customer rating', 'average'], ['The Waterman', 'area', 'city centre'], ['The Waterman', 'familyFriendly', 'yes']]