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: 668 units of a vehicle were produced in 1994–1998.
Example Output: [['2.8i v6 24v', 'PRODUCTION_PERIOD', '1994-1998'], ['2.8i v6 24v', 'UNITS_PRODUCED', '668']]

Example Input: In the city centre is the English restaurant Alimentum. With a cheap price range and average customer rating, it is located near Yippee Noodle Bar.
Example Output: [['Alimentum', 'eatType', 'restaurant'], ['Alimentum', 'food', 'English'], ['Alimentum', 'priceRange', 'moderate'], ['Alimentum', 'customer rating', 'average'], ['Alimentum', 'area', 'city centre'], ['Alimentum', 'near', 'Yippee Noodle Bar']]

Example Input: There is an adult only fast food coffee shop Taste of Cambridge located in the centre of the city near Crowne Plaza Hotel.
Example Output:
[['Taste of Cambridge', 'eatType', 'coffee shop'], ['Taste of Cambridge', 'food', 'Fast food'], ['Taste of Cambridge', 'area', 'city centre'], ['Taste of Cambridge', 'familyFriendly', 'no'], ['Taste of Cambridge', 'near', 'Crowne Plaza Hotel']]