What is the intuition behind convergence in probability?

Could you elaborate on the intuition behind convergence in probability? It's a concept that's often mentioned in the realm of statistics and probability theory, but I'm having trouble grasping the fundamental idea behind it. Specifically, how does one interpret the notion that a sequence of random variables converges in probability to a specific value? Are there any real-world examples that can help illustrate this concept more clearly?