The JSON source should contain a dictionary with the following structure, simplified for clarity:

{
    "solver": {...},
    "query": {...},
    "answers": [
        {
            "bindings": {...},
            "model": [{"truth": ..., "value": {...}}],
            "tree": {
                "node": {"value": {...}},
                "children": [
                    {
                        "node": {"value": {...}},
                        "children": [...]
                    },
                    ...
                ]
            }
        },
        ...
    ]
}

The answers field is a list of answers, each containing bindings, a model, and a tree structure. The tree field represents the justification tree, where each node has a value and may have children, forming a hierarchical structure of implications.

The output is a DOT graph representation of the justification tree, where each node corresponds to a term in the justification, and edges represent implications between nodes. The graph is directed, with arrows indicating the direction of implications from one node to another.

The output is formatted as a DOT graph, which can be visualised using graph visualisation tools like Graphviz. The output can be customised using the Options parameter, which allows for setting various attributes of the graph, such as:

• tab(Width): Specifies the indentation width for the output.
• rankdir(Direction): Sets the direction of the graph layout, e.g. 'LR' for left-to-right.
• bgcolor(Color): Sets the background colour of the graph.
• node(Attributes): Specifies attributes for the nodes in the graph.
• edge(Attributes): Specifies attributes for the edges in the graph.
• elides(Nodes): A list of nodes to elide in the graph, meaning they will not be displayed.

This predicate is useful for visualising the justification structure of s(CASP) queries, making it easier to understand the relationships between different terms and their implications in the context of logic programming and answer set programming.