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: Blue Spice is located in the riverside area. It serves Italian food with a high price range.
Example Output: [['Blue Spice', 'food', 'Italian'], ['Blue Spice', 'priceRange', 'high'], ['Blue Spice', 'area', 'riverside']]

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 Waterman is an average family friendly, cheap priced Italian restaurant located near the riverside.
Example Output:
[['The Waterman', 'eatType', 'restaurant'], ['The Waterman', 'food', 'Italian'], ['The Waterman', 'priceRange', 'cheap'], ['The Waterman', 'area', 'riverside'], ['The Waterman', 'familyFriendly', 'yes']]