I would argue that it is not just different subspaces of the joint Hilbert space in a GR context.
Q: How does a physicist milk a cow?
A: Well, first let us consider a spherical cow…
Minkowski space or joint Hilbert space or other Euclidean (analog) models are nice in areas like special relativity because you can have nice things like invariant Lorentz transformations to preserve the spacetime interval between any two events. But they only work in physical systems over finite distances in systems without significant gravitation.
In general relativity Minkowski space is still a good description in a local reference frame, assuming you are not next to a singularity but this is only true small regions of a gravitational field. In general if you are using anything Euclidian it will only apply to very small areas or to nonexistent fictional conditions which are simplified for a thought experiment. Even if you try to expand this to London and San Francisco the tidal forces will become noticeably non-Euclidean and will not be invariant transformations.
A practical example of this effect is that Under special relativity GPS satellite fall behind ground clocks 7 microseconds per day.
Under general relativity GPS satellites gain about 45 microseconds per day due to their altitude. But even that is a simplification where GPS time is synchronized appropriately for a frame anchored to the center of the earth.
They really don’t make efforts to correct for the Sagnac effect or frame dragging. They chose to observe from the one reference frame where they can ensure simultaneous. As a ground based observer your clock would need significant corrections to see the same but you could not correct for simultaneous with all GPS satellites at once with one correction.
Here is a paper that will explain how the Galilei group (nonrelativistic quantum mechanics), or Lorentz group (nongravitational) are the only ones that work in 3+1 and greater dimensional space.
The error introduced by using spherical cows is small enough on localized experiments and you may be able to construct a test well enough to account for wayward udders in some cases. But the horns and legs start poke out and accumulate errors pretty easily as the transforms would become less and less invariant.