A new study shows that KGFMs can predict whole links using only partial observations, such as half-links. It identifies four scenarios based on observed half-links and reveals that state-of-the-art models leverage seen half-links, while unseen ones present significant generalization challenges. This taxonomy offers a diagnostic framework for evaluating and improving KGFM robustness.