Before revision:  While several recent papers have approached the general question of which properties are elicitable, we suggest that this is the wrong question---all properties are elicitable by first eliciting the entire distribution or data set, and thus the important questionis how elicitable. Specifically, what is the minimum number of regression parameters needed to compute the property?
After revision:  While several recent papers have approached the general question of which properties are elicitable, we instead advocate for a more nuanced question: how many dimensions are required to indirectly elicit a given property? This number is called the elicitation complexity of the minimum number of regression parameters needed to compute the property?