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: Lokve is локве in the Cyrillic alphabet, and Locve in Romanian.
Example Output: [['Lokve', 'CYRILLIC_NAME_OTHER_NAMES', 'Локве (Romanian: Locve)']]

Example Input: Strada is not child friendly, has English food, the price range is high, has a 1 out of 5 customer rating, and is near the Rainbow Vegetarian Café.
Example Output: [['Strada', 'food', 'English'], ['Strada', 'priceRange', 'high'], ['Strada', 'customer rating', '1 out of 5'], ['Strada', 'familyFriendly', 'no'], ['Strada', 'near', 'Rainbow Vegetarian Café']]

Example Input: The team clasification winner was Once-Eroski, and the combination classification winner was Mederic Clain.
Example Output:
[['3', 'TEAM_CLASSIFICATION', 'ONCE-Eroski'], ['3', 'COMBINATION_CLASSIFICATION', 'Mederic Clain']]