  For two collections of nonnegative and suitably normalised weights
$\W=(\W_j)$ and $\V=(\V_{n,k})$, a probability distribution on the set of
partitions of the set $\{1,...,n\}$ is defined by assigning to a generic
partition $\{A_j, j\leq k\}$ the probability $\V_{n,k} \W_{|A_1|}...
\W_{|A_k|}$, where $|A_j|$ is the number of elements of $A_j$. We impose
constraints on the weights by assuming that the resulting random partitions
$\Pi_n$ of $[n]$ are consistent as $n$ varies, meaning that they define an
exchangeable partition of the set of all natural numbers. This implies that the
weights $\W$ must be of a very special form depending on a single parameter
$\alpha\in [-\infty,1]$. The case $\alpha=1$ is trivial, and for each value of
$\alpha\neq 1$ the set of possible $\V$-weights is an infinite-dimensional
simplex. We identify the extreme points of the simplex by solving the boundary
problem for a generalised Stirling triangle. In particular, we show that the
boundary is discrete for $-\infty\leq\alpha<0$ and continuous for
$0\leq\alpha<1$. For $\alpha\leq 0$ the extremes correspond to the members of
the Ewens-Pitman family of random partitions indexed by $(\alpha,\theta)$,
while for $0<\alpha<1$ the extremes are obtained by conditioning an
$(\alpha,\theta)$-partition on the asymptotics of the number of blocks of
$\Pi_n$ as $n$ tends to infinity.
