Let the event \( A \) be that the ball drawn is black and event \( B \) be that the ball is drawn from Container-III. We need to find \( P(B|A) \), the probability that the ball is from Container-III given that it is black.
By Bayes' Theorem:
\[
P(B|A) = \frac{P(A|B) \cdot P(B)}{P(A)}.
\]
Now, calculate the individual probabilities:
1. \( P(A|B) \) is the probability of drawing a black ball from Container-III. This is the ratio of black balls in Container-III to the total number of balls in Container-III:
\[
P(A|B) = \frac{1}{1 + 2 + 3} = \frac{1}{6}.
\]
2. \( P(B) \) is the probability that Container-III is chosen. Since there are 3 containers, the probability of choosing any one container is \( \frac{1}{3} \).
3. \( P(A) \) is the total probability of drawing a black ball from any container. This can be calculated by adding the probabilities of drawing a black ball from each container, weighted by the probability of choosing each container:
\[
P(A) = \frac{1}{3} \cdot \frac{3}{3+4+5} + \frac{1}{3} \cdot \frac{2}{2+2+2} + \frac{1}{3} \cdot \frac{1}{1+2+3}.
\]
Simplifying:
\[
P(A) = \frac{1}{3} \cdot \frac{3}{12} + \frac{1}{3} \cdot \frac{2}{6} + \frac{1}{3} \cdot \frac{1}{6} = \frac{1}{3} \cdot \left( \frac{1}{4} + \frac{1}{3} + \frac{1}{6} \right).
\]
Finding a common denominator:
\[
P(A) = \frac{1}{3} \cdot \frac{11}{12} = \frac{11}{36}.
\]
Now, we can substitute into Bayes' Theorem:
\[
P(B|A) = \frac{\frac{1}{6} \cdot \frac{1}{3}}{\frac{11}{36}} = \frac{\frac{1}{18}}{\frac{11}{36}} = \frac{2}{11}.
\]
Conclusion:
The probability that the ball is drawn from Container-III given that the ball is black is
\[
\boxed{\frac{2}{11}}.
\]