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: Cotto is a coffee shop serving Italian food near The Portland Arms. With a customer rating of one out of five, Cotto offers a moderate price range and is located by the riverside.
Example Output: [['Cotto', 'eatType', 'coffee shop'], ['Cotto', 'food', 'Italian'], ['Cotto', 'priceRange', 'moderate'], ['Cotto', 'customer rating', '1 out of 5'], ['Cotto', 'area', 'riverside'], ['Cotto', 'near', 'The Portland Arms']]

Example Input: Midsummer House is a high priced restaurant located near All Bar One.  It has a 3 star rating.
Example Output: [['Midsummer House', 'eatType', 'restaurant'], ['Midsummer House', 'priceRange', 'high'], ['Midsummer House', 'customer rating', 'average'], ['Midsummer House', 'near', 'All Bar One']]

Example Input: Brown got 180,298 votes from San Francisco.
Example Output:
[['San Francisco', 'BROWN', '62.19%'], ['62.19%', 'BROWN_VOTES', '180,298']]