async def _aextract_entities_from_node(self, node: BaseNode) -> Dict[str, str]:
        """Extract entities from a node and return it's metadata dict."""
        if self.is_text_node_only and not isinstance(node, TextNode):
            return {}

        context_str = node.get_content(metadata_mode=self.metadata_mode)
        entities = await self.llm.apredict(
            PromptTemplate(template=self.prompt_template),
            num_entities=self.num_entities,
            context_str=context_str,
        )

        # Remove the backticks and ```json part using regex
        entities = utils.trim_json_string(entities.strip())
        entities = json.loads(entities)

        return {"excerpt_entities": entities}

DEFAULT_ENTITY_EXTRACT_TEMPLATE = """\
Context: {context_str}.\n Provide an array of up to {num_entities} entities from the \
provided context. Be sure to include all port names, project names, people, companies, towns, vessels etc. Proper nouns have priority. Format as an array of strings. Entities: """

def trim_json_string(input_str):
    """
    Trims surrounding noise from a JSON string.

    Args:
    input_str (str): The input string containing JSON data surrounded by noise.

    Returns:
    str: A cleaned JSON string.
    """
    # Define a regular expression pattern to extract JSON object or array
    pattern = r'(\{.*\}|\[.*\])'
    
    # Search for the pattern in the input string
    match = re.search(pattern, input_str, re.DOTALL)
    
    if match:
        # Extract the JSON part
        json_str = match.group(0)
        
        try:
            # Validate the JSON format
            json.loads(json_str)
            return json_str
        except json.JSONDecodeError:
            return "Invalid JSON found within the input string."
    else:
        return "No valid JSON object or array found in the input string."