It can't be perfect without something like sending drones all around to addresses, but theory it's well suited to an LLM to be better and faster than a human could do it - there's various unstructured chatter and news articles and such out there online around businesses closing, opening, etc.
But it's not JUST an LLM problem: it's also a search problem and a connection-making-problem ("if a new restaurant opened at that address, the old one is probably closed").
And then even if there was a ChatGPT browsing plugin that excelled at scraping all of the relevant up-to-date info off the internet, you'd still need some layers in between that and today's context-window limits.
As more stuff changes in the real world since the training corpus for today's publicly-exposed OpenAI models, we'll probably see some further disillusionment from people who thought there was a bit more magic there than there was. But "LLMs, but with more up to date info" isn't an impossible problem with today's tech (even if you only fake it with multiple agents, multiple steps, batch jobs behind the scenes, etc), it's just not a trivial one.