Suppose a 95% Confidence Interval For $\mu$ Turns Out to Be (1,000, 2,100)

Suppose a 95% confidence interval for $\mu$ turns out to be (1,000, 2,100) .Give a definition of what it means to be "95% confident" as an inference.

A) In repeated sampling, the population parameter would fall in the given interval 95% of the time.
B) In repeated sampling, 95% of the intervals constructed would contain the population mean.
C) 95% of the observations in the entire population fall in the given interval.
D) 95% of the observations in the sample fall in the given interval.