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: 200 Public Square is located at Public Square, Cleveland.
Example Output: [['200 Public Square', 'LOCATION', 'Public Square, Cleveland']]

Example Input: 90,252 people poured into Ohio Stadium on November 20 to watch the game.
Example Output: [['November 20', 'ATTENDANCE', '90,252'], ['November 20', 'SITE', 'Ohio Stadium • Columbus, OH']]

Example Input: Browns Cambridge offers Italian food for less than £20 but has a relatively low customer rating.
Example Output:
[['Browns Cambridge', 'food', 'Italian'], ['Browns Cambridge', 'priceRange', 'less than £20'], ['Browns Cambridge', 'customer rating', 'low']]