As Gerry Myerson already noted in a comment, to talk about the chaoticity of anything, you first have to embed it into the framework of dynamical systems. At the very least, you have to have:
- some notion of state of a system (this may be what you understand by condition),
- some dependence of future states on present states,
- some notion of distance between possible states.
Applying the first point to prime numbers already requires making some very loose associations creativity. There are no different states of prime numbers; they just are.
You could consider an individual prime number as a state of a system and the function $n$ that maps a prime number to the next prime number as your temporal relation between states. But then all you can modify about your sequence is where in the sequence you start – the sequence itself is fixed. The best approximations of a state $p_i$ are its predecessor $p_{i-1}$ and successor $p_{i+1}$. If you insist continuing with this, the best approximations of the present state do allow for the best approximation of the future states. For example, if the present state is $p_i$ the future state after $k$ iterations is $n^k(p_i) = p_{i+k}$ and the respective future states the best approximations of the present state are $p_{i+k-1}$ and $p_{i+k+1}$, which happen to be the best approximations of the future state. But keep in mind that this is already stretching the perspective a lot.
Is the distribution of prime numbers chaotic?
What is that even supposed to mean? I never heard anybody apply the term chaotic to distributions. It’s dynamics that can be chaotic.