Which interpretation of a 95% confidence interval is correct in the repeated-sampling sense?

A. There is a 95% chance that every future observation will lie inside it B. The parameter changes randomly after the interval is computed C. Exactly 95% of the observed data must lie inside the interval D. The procedure would capture the true parameter in about 95% of repeated samples