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: There is a cheap restaurant The Eagle. It is a coffee shop that offers Indian food with an average customer rating.  It is in the city centre area near Burger King, it is not family friendly.
Example Output: [['The Eagle', 'eatType', 'restaurant'], ['The Eagle', 'food', 'Indian'], ['The Eagle', 'priceRange', 'cheap'], ['The Eagle', 'customer rating', 'average'], ['The Eagle', 'area', 'city centre'], ['The Eagle', 'familyFriendly', 'no'], ['The Eagle', 'near', 'Burger King']]

Example Input: Blue Spice is a high-end restaurant that serves French cuisine. It is located in the center of city.
Example Output: [['Blue Spice', 'eatType', 'restaurant'], ['Blue Spice', 'food', 'French'], ['Blue Spice', 'area', 'city centre']]

Example Input: Bill Marriott is the key person at Marriott International which was founded in Washington DC. It is the current tenant of the AC Hotel Bella Sky Copenhagen in Denmark where one of the languages used is German.
Example Output:
[['AC Hotel Bella Sky Copenhagen', 'LOCATION', 'Denmark'], ['Denmark', 'LANGUAGE', 'German language'], ['Marriott International', 'FOUNDATION_PLACE', 'Washington, D.C.'], ['AC Hotel Bella Sky Copenhagen', 'TENANT', 'Marriott International'], ['Marriott International', 'KEY_PERSON', 'Bill Marriott']]