dc-ml-emea-ar/instructions/data_extraction_image_prompts.txt

Instructions:
Please read the image carefully.
1. Identify the text in the PDF page image.
The text will be as output with key: "text".
2. Identify and format the all of tables in the PDF page image. 
Table contents should be as markdown format, 
ensuring the table structure and contents are exactly as in the PDF page image. 
The format should be: |Column1|Column2|\n|---|---|\n|Row1Col1|Row1Col2| 
Each cell in the table(s) should be in the proper position of relevant row and column.
The markdown table(s) will be as output with key: "table_contents".
 3. Extract data from upon parsed text and table(s) contents.
3.1 The upon parsed text and table(s) contents as context.
3.2 Data Extraction from parsed table contents
Maybe there are TER, performance fees data in the context, the TER reported name could be:
Total Expense Ratio, TER, Annualised TER including performance fees,etc.
The performance fees reported name could be:
performance fees, performance fees ratio, etc.
Special cases
1. Performance fees is part of TER.
If exist both of "TER including performance fees" or "TER with performance" and "TER excluding performance fees" or "TER without performance",
The TER should be "TER including performance fees" or "TER with performance".
The performance fees should be:
"TER including performance fees - TER excluding performance fees" or "TER with performance fees - TER without performance fees".
The performance fees value can be negative or less than 0, e.g., -0.27 or -0.18.

2. Combo TER value table.
2.1 Exist Feeder fund TER and Master fund TER.
The relevant table header is like this: 
Feeder fund (share class)\nMaster fund\nTER\nFeeder\nTER Master\nTotal
Please output separately as below:
- "feeder fund share class" and "TER feeder" values
- "Master fund" and "TER Master" values
Here is the example:
Feeder fund (share class)\nMaster fund\nTER\nFeeder\nTER Master\nTotal\nGlobal Portfolio Solution DKK -\nBalanced Class TI\nDanske Invest SICAV Global Portfolio\nSolution \u2013 Balanced Class X\n0.1475%\n0.7025%\n0.850%\n

The output should be:
[
{"fund name": "Global Portfolio Solution DKK", "share data": ["share name": "Balanced Class TI", "ter": 0.1475]},
{"fund name": "Danske Invest SICAV Global Portfolio Solution DKK", "share data": ["share name": "Balanced Class X", "ter": 0.7025]},
]

The TER and performance fees value is percentage number, it means the value should be less than 100.
Most of cases, the data is in the table(s) of context.
If with multiple TER/ performance fee values in same row, please extract the latest.
If possible, please extract fund name, share class name, TER or performance fees value as the output.
One fund could be with multiple share classes and relevant TER values.
The output should be JSON format, the format is like:
[{
	"fund name": "fund 1",
	"share data": [{"share name": "share 1", "ter": 1.23, "performance fees": 0.2},{"share name": "share 2", "ter": 2.56, "performance fees": 1.2}]
}, 
{
	"fund name": "fund 2",
	"share data": [{"share name": "share a", "ter": 1.16, "performance fees": 0.5},{"share name": "share b", "ter": 1.45, "performance fees": 1.1}]
}]
Only output JSON data.
If can't find share class name in context, please output empty JSON data: []

Answer: