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: The 8th series of Heartbeat, which aired in 1998-1999, ranked the 5th with an average audience share of 14.35m.
Example Output: [['8', 'RANK', '5th'], ['8', 'AVERAGE_AUDIENCE_SHARE', '14.35m'], ['[TABLECONTEXT]', '[TITLE]', 'Heartbeat (UK TV series)'], ['8', 'YEAR', '1998-1999'], ['[TABLECONTEXT]', 'SERIES', '8']]

Example Input: The Rice Boat is a Japanese establishment on the riverside with a high customer rating, unfortunately it does not welcome children.
Example Output: [['The Rice Boat', 'food', 'Japanese'], ['The Rice Boat', 'customer rating', '5 out of 5'], ['The Rice Boat', 'area', 'riverside'], ['The Rice Boat', 'familyFriendly', 'no']]

Example Input: The Vaults is a 1 out of 5 high priced pub. But what pub has a high rating right, we're located near the Café Adriatic.
Example Output:
[['The Vaults', 'eatType', 'pub'], ['The Vaults', 'priceRange', 'high'], ['The Vaults', 'customer rating', '5 out of 5'], ['The Vaults', 'near', 'Café Adriatic']]