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Solve the following problem using Python, implementing the functions described below, one line at a time
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Description:
 def get_linked_agenda_items(self) -> List[str]: """ Returns entities that can be linked to spans in the question, that should be in the agenda, for training a coverage based semantic parser. This method essentially does a heuristic entity linking, to provide weak supervision for a learning to search parser. """

        agenda_items: List[str] = []
        for entity in self._get_longest_span_matching_entities():
            agenda_items.append(entity)
            # If the entity is a cell, we need to add the column to the agenda as well,
            # because the answer most likely involves getting the row with the cell.
            if 'fb:cell' in entity:
                agenda_items.append(self.neighbors[entity][0])
        return agenda_items