<｜begin▁of▁sentence｜>### Instruction:
In the high-stakes world of movie magic, where visual effects are the bread and butter of storytelling, imagine you're tasked with conceptualizing an intricate cityscape for an upcoming sci-fi flick. You've decided the best way to plan out the visual complexity of this futuristic metropolis is to model it first as a network graph.

The Graph Atlas is your go-to for inspiration, and within it is a catalog of graphs that are numbered like scenes in a script. Your job is to bring graph number `i` to life. You need to translate this graph into a digital prop – a detailed JSON blueprint that defines the intricate web of connections between nodes (think interstellar pathways) and edges (the routes that bind them). This JSON object will serve as the core structure for your CGI team to build upon, perhaps as "graph_atlas_i.json".

Can you reframe the task of extracting the nodes and edges of graph number `i` from the Graph Atlas into this creative model, ensuring the resulting JSON captures the essence of your envisioned virtual cityscape?
### Response:
import networkx as nx

# Generate graph number i from the graph atlas
i = 5
G = nx.graph_atlas(i)

# Iterate over the nodes and edges to generate JSON object
data = {
  'graph nodes': [{'id': node, 'label': str(node)} for node in G.nodes()],
  'graph edges': [{'source': edge[0], 'target': edge[1], 'label': str(edge)} for edge in G.edges()]
}

print(data)
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