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.

Input: Consider Input: Mikhail goikhberg had the most laps led in monterey, california when scott rarick won the race.

Output: [['NC', 'WINNING_DRIVER', 'Scott Rarick'], ['NC', 'MOST_LAPS_LED', 'Mikhail Goikhberg'], ['NC', 'LOCATION', 'Monterey, California']]


Input: Consider Input: The Golden Curry near Café Rouge is a fast food family-friendly has an average customer rating. It is in the city centre area.

Output: [['The Golden Curry', 'food', 'Fast food'], ['The Golden Curry', 'customer rating', 'average'], ['The Golden Curry', 'area', 'city centre'], ['The Golden Curry', 'familyFriendly', 'yes'], ['The Golden Curry', 'near', 'Café Rouge']]


Input: Consider Input: Located near the river, Fitzbillies is a family coffee shop. However, customer ratings are below average.


Output: [['Fitzbillies', 'eatType', 'coffee shop'], ['Fitzbillies', 'customer rating', '3 out of 5'], ['Fitzbillies', 'area', 'riverside']]