I came upon this when trying to understand the proof to "Theorem on Existence of Best Approximations in a Metric Space" as given by Cheney (1981).
Let $\mathcal K$ denote a compact set in a metric space. To each point $p$ of the space there corresponds a point in $\mathcal K$ of minimum distance from $p$.
The proof begins with assuming a sequence $x_1, x_2, \cdots, x_n$ in $\mathcal K$ and continues as below.
"By the compactness of $\mathcal K$, we may assume that the sequence converges to a point $x^*$ of $\mathcal K$; for if necessary we may extract from the given sequence a subsequence with this property."
Now this last sentence comes quite problematic to me; as I imagine we may extract two (or arbitrarily many) different convergent sub-sequences from the original $\{ x_n\}$ each converging to a different $x^*.$ (Am I right about this?)
Thus I believe the answer to the question in the title is No. The proof then proceeds: "We will show that $x^*$ is a point of $\mathcal K$ of minimum distance from $p$." But if I am right in what I described earlier, then we may have two (or arbitrarily many) $x^*$s. Am I missing something here?
You are right that any two different convergent subsequences you extract may have different limits. This doesn't make a difference for the proof because the proof only needs a subsequence converging to some limit $x^*$ and then it shows $x^*$ has the properties you need. It doesn't matter at all that you could have chosen a different subsequence with a different limit $y^*$.
Notice that you shouldn't be worried by the possibility of arbitrarily many points $x^*$ at minimum distance from $p$ since such points aren't unique. For example, consider the unit circle $K = \{x \in \mathbb{R}^2: |x| = 1\}$ and $p = 0$. Then every point of $K$ minimises the distance to $p$.