**Reasoning and extraction process**
1. **Identify the source information** – The only finding provided is titled *“VERCLY uzyskała dofinansowanie UE na projekt AML i ryzyka politycznego (PEP)”* and describes that VERCLY Sp. z o.o. received EU funding for a project aimed at combating money laundering, terrorism financing, and identifying politically exposed persons (PEP).
2. **Determine atomic facts** – From this single finding we can derive one atomic fact that captures the essential information:
- VERCLY received EU funding for a specific project.
- The project’s purpose is to develop innovative methods for AML/CFT and PEP identification.
3. **Compose the fact** – The fact must be exactly two sentences, as required.
4. **Assign confidence values**
- The statement is directly supported by the finding, so **confidence = 1.0**.
- The finding mentions VERCLY by name (but does not contain the detailed company registry data required for a 1.0 *finding_confidence*), therefore **finding_confidence = 0.5‑0.8**. I set it to **0.7** to reflect the presence of the company name without the exact registry details.
5. **Prepare the JSON output** – Include the fact, confidence scores, and the source title.
---
```json
{
"facts": [
{
"statement": "VERCLY Spółka z o.o. otrzymała dofinansowanie z Unii Europejskiej na realizację projektu dotyczącego przeciwdziałania praniu pieniędzy i finansowaniu terroryzmu. Projekt ma na celu opracowanie innowacyjnych metod wspierających instytucje w identyfikacji osób zajmujących eksponowane stanowiska polityczne.",
"confidence": 1.0,
"finding_confidence": 0.7,
"source_finding_titles": [
"VERCLY uzyskała dofinansowanie UE na projekt AML i ryzyka politycznego (PEP)"
]
}
]
}
```