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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_edge_sentences( G: AnalysisGraph, source: str, target: str ) -> List[str]: """ Return the sentences that led to the construction of a specified edge. Args: G source: The source of the edge. target: The target of the edge. """


    return chain.from_iterable(
        [
            [repr(e.text) for e in s.evidence]
            for s in G.edges[source, target]["InfluenceStatements"]
        ]
    )