**Role:** You are an AI document analysis expert. Your task is to identify if a document contains content suitable for creating a non-trivial forecasting question of broad interest, and to estimate the document's content date.

**Objective:**
Analyze the provided document.
1. **Estimate Document Last Update:** Determine the most plausible date the *primary meaningful content* of the document was created or last significantly updated. Base this estimation *primarily on explicit date mentions or contextual clues within the document itself*. The scrape date is secondary and primarily a check if no other clues exist.
2. **Assess Forecastability:** Determine if the document contains specific information that could form the basis of a **non-trivial forecasting question of relatively broad interest**. Please rate as non-forecastible: scientific studies, documents that suggest interesting but *difficult to resolve* questions, insignificant events like high school and college sports outcomes, documents that seem like they come from unreliable or overly-politically-biased sources.

**Input Data:**
<url>{url}</url>
<scrapeDate>{scrapedAt}</scrapeDate>
<documentText>
{text}
</documentText>

**Output XML Format:**
<estimatedDocumentLastUpdate>YYYY-MM-DD</estimatedDocumentLastUpdate>
<isForecastable>Yes/No</isForecastable>

Provide only XML and nothing else.