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: Earl Watson had the high assists during a game at the Toyota Center with a crowd of 18,370.
Example Output: [['79', 'HIGH_ASSISTS', 'earl watson (8)'], ['79', 'ATTENDANCE', 'toyota center 18,370']]

Example Input: Cocum is a coffee shop which is kid friendly, has a average rating, is expensive, and serves Indian food.
Example Output: [['Cocum', 'eatType', 'coffee shop'], ['Cocum', 'food', 'Indian'], ['Cocum', 'priceRange', 'high'], ['Cocum', 'customer rating', 'average'], ['Cocum', 'familyFriendly', 'yes']]

Example Input: The 3Arena is located in Dublin, which is a part of Leinster, in the Republic of Ireland.
Example Output:
[['Dublin', 'COUNTRY', 'Republic of Ireland'], ['3Arena', 'LOCATION', 'Dublin'], ['Dublin', 'IS_PART_OF', 'Leinster']]