Step 1: List the coordinates clearly.
$P1 = (2, 3, -1)$, $P2 = (3, 1, 1)$, $P3 = (5, -2, 3)$, $P4 = (3, 3, 3)$. Manhattan distance between two points just adds up the absolute differences along each of the 3 coordinate axes, so we build a small distance table for all pairs.
Step 2: Work out the coordinate-wise differences for each pair.
$P1$ to $P2$: differences are $1, 2, 2 \Rightarrow$ sum $= 5$
$P1$ to $P3$: differences are $3, 5, 4 \Rightarrow$ sum $= 12$
$P1$ to $P4$: differences are $1, 0, 4 \Rightarrow$ sum $= 5$
$P2$ to $P3$: differences are $2, 3, 2 \Rightarrow$ sum $= 7$
$P2$ to $P4$: differences are $0, 2, 2 \Rightarrow$ sum $= 4$
$P3$ to $P4$: differences are $2, 5, 0 \Rightarrow$ sum $= 7$
Step 3: Scan the table for the smallest entry.
Sorting the six distances: $4 < 5 = 5 < 7 = 7 < 12$. The smallest value, 4, belongs to the pair $(P2, P4)$, since their $x$-coordinates already match (difference 0) and their $y$ and $z$ coordinates are each only 2 apart.
Step 4: Apply the clustering rule.
In agglomerative clustering the very first merge always joins the closest pair of individual points. Since $(P2, P4)$ has the smallest Manhattan distance of all six pairs, this is the pair that merges first.
Final Answer:
The pair $(P2, P4)$ merges first, which is option (D).