image imagewidth (px) 812 924 | system stringclasses 1 value | instruction stringclasses 1 value | text stringlengths 125 19k |
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You are a precise financial statement extraction system. Return only valid JSON that matches the required schema. | You are extracting financial-statement annotations from a single page image into the exact Pydantic schema `PageExtraction`.
Return ONLY valid JSON.
Do NOT return markdown, code fences, comments, prose, or extra keys.
Top-level schema (exact keys only):
{
"meta": {
"entity_name": "<string or null>",
"page_num": "<string or null>",
"type": "balance_sheet|income_statement|cash_flow|notes|contents_page|title|declaration|profits|other",
"title": "<string or null>"
},
"facts": [
{
"value": "<string>",
"comment": "<string or null>",
"is_note": <true|false>,
"note": "<string or null>",
"note_reference": "<string>",
"date": "<string or null>",
"path": ["<string>", "..."],
"currency": "ILS|USD|EUR|GBP|null",
"scale": 1|1000|1000000|null,
"value_type": "amount|%|null"
}
]
}
Type/validation rules (must match schema):
1. `meta` and `facts` are required.
2. `note_reference` is required string. Use "" when missing.
3. `path` is required list of strings (use [] when unknown, never null).
4. `is_note` must be boolean (never null and never "true"/"false" strings).
5. `date` must be `YYYY` or `YYYY-MM-DD` when provided.
6. `value` rules:
- If the value is a percentage, include `%` (for example `12%`, `12.5%`).
- If not a percentage, output only canonical numeric text: `Num`, `Num.Num`, `(Num)`, or `(Num.Num)`.
- For non-`%` values remove commas, spaces, currency signs/codes, and use parentheses for negatives (never leading `-`).
7. Use JSON null literal for missing optional values (never "null" string).
8. Do not include any keys not listed above.
Extraction rules:
1. Extract all visible numeric/table facts, including negatives in parentheses and totals.
2. If source is a dash placeholder (`-`, `鈥擿, `鈥揱), still extract the fact but set `value` to empty string `""`.
3. For non-`%` values, normalize `value` to canonical numeric shape only (`Num`, `Num.Num`, `(Num)`, `(Num.Num)`).
4. For `%` values, keep `%` in `value`.
6. `comment`: textual qualifier tied to the specific fact (for example `*without debt insurance`), else null.
7. `is_note`: true when the fact is itself inside a note section, else false.
8. `note`: use when this fact belongs to data presented inside a note section; else null.
9. `note_reference`: use when this fact points/references another note; else "".
10. `currency`: infer from page/header context (for example "砖拽诇讬诐 讞讚砖讬诐" -> "ILS"), else null.
11. `scale`: 1 unless page/header indicates thousands or millions.
12. `value_type`: "amount" unless the fact is a percentage ("%").
13. `date`: output only `YYYY` or `YYYY-MM-DD`. Convert dotted dates (`D.M.YYYY` / `DD.MM.YYYY`) to `YYYY-MM-DD` using day-first parsing.
14. `meta.type`: use "profits" for "讚讜讞讜转 注诇 讛驻注讬诇讜讬讜转"; otherwise choose the best enum value.
15. No duplicate facts. Order `facts` top-to-bottom; within each row use right-to-left for Hebrew/RTL pages and left-to-right for English/LTR pages (fallback RTL if uncertain).
16. Output UTF-8 Hebrew directly (do not escape to unicode sequences).
Path hierarchy rule:
1. Build `path` with horizontal-axis hierarchy first (row-side structure: group -> subgroup -> line item).
2. Then append vertical-axis hierarchy only when it adds business semantics not already represented by dedicated fields.
3. Do not encode period/currency/scale/value-format in `path` when already represented by `date`/`currency`/`scale`/`value_type`.
4. Keep labels exactly as shown. Do not invent levels. | {"meta":{"entity_name":"注转讬讚 讛讟谞讬住 - 注诪讜转讛 诇拽讬讚讜诐 讛讟谞讬住 讘讗讝讜专 专讗砖讜谉 诇爪讬讜谉 讜讛住讘讬讘讛 (注状专)","page_num":null,"type":"title","title":null},"facts":[]} | |
You are a precise financial statement extraction system. Return only valid JSON that matches the required schema. | You are extracting financial-statement annotations from a single page image into the exact Pydantic schema `PageExtraction`.
Return ONLY valid JSON.
Do NOT return markdown, code fences, comments, prose, or extra keys.
Top-level schema (exact keys only):
{
"meta": {
"entity_name": "<string or null>",
"page_num": "<string or null>",
"type": "balance_sheet|income_statement|cash_flow|notes|contents_page|title|declaration|profits|other",
"title": "<string or null>"
},
"facts": [
{
"value": "<string>",
"comment": "<string or null>",
"is_note": <true|false>,
"note": "<string or null>",
"note_reference": "<string>",
"date": "<string or null>",
"path": ["<string>", "..."],
"currency": "ILS|USD|EUR|GBP|null",
"scale": 1|1000|1000000|null,
"value_type": "amount|%|null"
}
]
}
Type/validation rules (must match schema):
1. `meta` and `facts` are required.
2. `note_reference` is required string. Use "" when missing.
3. `path` is required list of strings (use [] when unknown, never null).
4. `is_note` must be boolean (never null and never "true"/"false" strings).
5. `date` must be `YYYY` or `YYYY-MM-DD` when provided.
6. `value` rules:
- If the value is a percentage, include `%` (for example `12%`, `12.5%`).
- If not a percentage, output only canonical numeric text: `Num`, `Num.Num`, `(Num)`, or `(Num.Num)`.
- For non-`%` values remove commas, spaces, currency signs/codes, and use parentheses for negatives (never leading `-`).
7. Use JSON null literal for missing optional values (never "null" string).
8. Do not include any keys not listed above.
Extraction rules:
1. Extract all visible numeric/table facts, including negatives in parentheses and totals.
2. If source is a dash placeholder (`-`, `鈥擿, `鈥揱), still extract the fact but set `value` to empty string `""`.
3. For non-`%` values, normalize `value` to canonical numeric shape only (`Num`, `Num.Num`, `(Num)`, `(Num.Num)`).
4. For `%` values, keep `%` in `value`.
6. `comment`: textual qualifier tied to the specific fact (for example `*without debt insurance`), else null.
7. `is_note`: true when the fact is itself inside a note section, else false.
8. `note`: use when this fact belongs to data presented inside a note section; else null.
9. `note_reference`: use when this fact points/references another note; else "".
10. `currency`: infer from page/header context (for example "砖拽诇讬诐 讞讚砖讬诐" -> "ILS"), else null.
11. `scale`: 1 unless page/header indicates thousands or millions.
12. `value_type`: "amount" unless the fact is a percentage ("%").
13. `date`: output only `YYYY` or `YYYY-MM-DD`. Convert dotted dates (`D.M.YYYY` / `DD.MM.YYYY`) to `YYYY-MM-DD` using day-first parsing.
14. `meta.type`: use "profits" for "讚讜讞讜转 注诇 讛驻注讬诇讜讬讜转"; otherwise choose the best enum value.
15. No duplicate facts. Order `facts` top-to-bottom; within each row use right-to-left for Hebrew/RTL pages and left-to-right for English/LTR pages (fallback RTL if uncertain).
16. Output UTF-8 Hebrew directly (do not escape to unicode sequences).
Path hierarchy rule:
1. Build `path` with horizontal-axis hierarchy first (row-side structure: group -> subgroup -> line item).
2. Then append vertical-axis hierarchy only when it adds business semantics not already represented by dedicated fields.
3. Do not encode period/currency/scale/value-format in `path` when already represented by `date`/`currency`/`scale`/`value_type`.
4. Keep labels exactly as shown. Do not invent levels. | {"meta":{"entity_name":"注转讬讚 讛讟谞讬住 - 注诪讜转讛 诇拽讬讚讜诐 讛讟谞讬住 讘讗讝讜专 专讗砖讜谉 诇爪讬讜谉 讜讛住讘讬讘讛 (注状专)","page_num":null,"type":"contents_page","title":null},"facts":[]} | |
You are a precise financial statement extraction system. Return only valid JSON that matches the required schema. | You are extracting financial-statement annotations from a single page image into the exact Pydantic schema `PageExtraction`.
Return ONLY valid JSON.
Do NOT return markdown, code fences, comments, prose, or extra keys.
Top-level schema (exact keys only):
{
"meta": {
"entity_name": "<string or null>",
"page_num": "<string or null>",
"type": "balance_sheet|income_statement|cash_flow|notes|contents_page|title|declaration|profits|other",
"title": "<string or null>"
},
"facts": [
{
"value": "<string>",
"comment": "<string or null>",
"is_note": <true|false>,
"note": "<string or null>",
"note_reference": "<string>",
"date": "<string or null>",
"path": ["<string>", "..."],
"currency": "ILS|USD|EUR|GBP|null",
"scale": 1|1000|1000000|null,
"value_type": "amount|%|null"
}
]
}
Type/validation rules (must match schema):
1. `meta` and `facts` are required.
2. `note_reference` is required string. Use "" when missing.
3. `path` is required list of strings (use [] when unknown, never null).
4. `is_note` must be boolean (never null and never "true"/"false" strings).
5. `date` must be `YYYY` or `YYYY-MM-DD` when provided.
6. `value` rules:
- If the value is a percentage, include `%` (for example `12%`, `12.5%`).
- If not a percentage, output only canonical numeric text: `Num`, `Num.Num`, `(Num)`, or `(Num.Num)`.
- For non-`%` values remove commas, spaces, currency signs/codes, and use parentheses for negatives (never leading `-`).
7. Use JSON null literal for missing optional values (never "null" string).
8. Do not include any keys not listed above.
Extraction rules:
1. Extract all visible numeric/table facts, including negatives in parentheses and totals.
2. If source is a dash placeholder (`-`, `鈥擿, `鈥揱), still extract the fact but set `value` to empty string `""`.
3. For non-`%` values, normalize `value` to canonical numeric shape only (`Num`, `Num.Num`, `(Num)`, `(Num.Num)`).
4. For `%` values, keep `%` in `value`.
6. `comment`: textual qualifier tied to the specific fact (for example `*without debt insurance`), else null.
7. `is_note`: true when the fact is itself inside a note section, else false.
8. `note`: use when this fact belongs to data presented inside a note section; else null.
9. `note_reference`: use when this fact points/references another note; else "".
10. `currency`: infer from page/header context (for example "砖拽诇讬诐 讞讚砖讬诐" -> "ILS"), else null.
11. `scale`: 1 unless page/header indicates thousands or millions.
12. `value_type`: "amount" unless the fact is a percentage ("%").
13. `date`: output only `YYYY` or `YYYY-MM-DD`. Convert dotted dates (`D.M.YYYY` / `DD.MM.YYYY`) to `YYYY-MM-DD` using day-first parsing.
14. `meta.type`: use "profits" for "讚讜讞讜转 注诇 讛驻注讬诇讜讬讜转"; otherwise choose the best enum value.
15. No duplicate facts. Order `facts` top-to-bottom; within each row use right-to-left for Hebrew/RTL pages and left-to-right for English/LTR pages (fallback RTL if uncertain).
16. Output UTF-8 Hebrew directly (do not escape to unicode sequences).
Path hierarchy rule:
1. Build `path` with horizontal-axis hierarchy first (row-side structure: group -> subgroup -> line item).
2. Then append vertical-axis hierarchy only when it adds business semantics not already represented by dedicated fields.
3. Do not encode period/currency/scale/value-format in `path` when already represented by `date`/`currency`/`scale`/`value_type`.
4. Keep labels exactly as shown. Do not invent levels. | {"meta":{"entity_name":"注转讬讚 讛讟谞讬住 - 注诪讜转讛 诇拽讬讚讜诐 讛讟谞讬住 讘讗讝讜专 专讗砖讜谉 诇爪讬讜谉 讜讛住讘讬讘讛 (注状专)","page_num":"2","type":"declaration","title":null},"facts":[]} | |
You are a precise financial statement extraction system. Return only valid JSON that matches the required schema. | You are extracting financial-statement annotations from a single page image into the exact Pydantic schema `PageExtraction`.
Return ONLY valid JSON.
Do NOT return markdown, code fences, comments, prose, or extra keys.
Top-level schema (exact keys only):
{
"meta": {
"entity_name": "<string or null>",
"page_num": "<string or null>",
"type": "balance_sheet|income_statement|cash_flow|notes|contents_page|title|declaration|profits|other",
"title": "<string or null>"
},
"facts": [
{
"value": "<string>",
"comment": "<string or null>",
"is_note": <true|false>,
"note": "<string or null>",
"note_reference": "<string>",
"date": "<string or null>",
"path": ["<string>", "..."],
"currency": "ILS|USD|EUR|GBP|null",
"scale": 1|1000|1000000|null,
"value_type": "amount|%|null"
}
]
}
Type/validation rules (must match schema):
1. `meta` and `facts` are required.
2. `note_reference` is required string. Use "" when missing.
3. `path` is required list of strings (use [] when unknown, never null).
4. `is_note` must be boolean (never null and never "true"/"false" strings).
5. `date` must be `YYYY` or `YYYY-MM-DD` when provided.
6. `value` rules:
- If the value is a percentage, include `%` (for example `12%`, `12.5%`).
- If not a percentage, output only canonical numeric text: `Num`, `Num.Num`, `(Num)`, or `(Num.Num)`.
- For non-`%` values remove commas, spaces, currency signs/codes, and use parentheses for negatives (never leading `-`).
7. Use JSON null literal for missing optional values (never "null" string).
8. Do not include any keys not listed above.
Extraction rules:
1. Extract all visible numeric/table facts, including negatives in parentheses and totals.
2. If source is a dash placeholder (`-`, `鈥擿, `鈥揱), still extract the fact but set `value` to empty string `""`.
3. For non-`%` values, normalize `value` to canonical numeric shape only (`Num`, `Num.Num`, `(Num)`, `(Num.Num)`).
4. For `%` values, keep `%` in `value`.
6. `comment`: textual qualifier tied to the specific fact (for example `*without debt insurance`), else null.
7. `is_note`: true when the fact is itself inside a note section, else false.
8. `note`: use when this fact belongs to data presented inside a note section; else null.
9. `note_reference`: use when this fact points/references another note; else "".
10. `currency`: infer from page/header context (for example "砖拽诇讬诐 讞讚砖讬诐" -> "ILS"), else null.
11. `scale`: 1 unless page/header indicates thousands or millions.
12. `value_type`: "amount" unless the fact is a percentage ("%").
13. `date`: output only `YYYY` or `YYYY-MM-DD`. Convert dotted dates (`D.M.YYYY` / `DD.MM.YYYY`) to `YYYY-MM-DD` using day-first parsing.
14. `meta.type`: use "profits" for "讚讜讞讜转 注诇 讛驻注讬诇讜讬讜转"; otherwise choose the best enum value.
15. No duplicate facts. Order `facts` top-to-bottom; within each row use right-to-left for Hebrew/RTL pages and left-to-right for English/LTR pages (fallback RTL if uncertain).
16. Output UTF-8 Hebrew directly (do not escape to unicode sequences).
Path hierarchy rule:
1. Build `path` with horizontal-axis hierarchy first (row-side structure: group -> subgroup -> line item).
2. Then append vertical-axis hierarchy only when it adds business semantics not already represented by dedicated fields.
3. Do not encode period/currency/scale/value-format in `path` when already represented by `date`/`currency`/`scale`/`value_type`.
4. Keep labels exactly as shown. Do not invent levels. | {"meta":{"entity_name":"注转讬讚 讛讟谞讬住 - 注诪讜转讛 诇拽讬讚讜诐 讛讟谞讬住 讘讗讝讜专 专讗砖讜谉 诇爪讬讜谉 讜讛住讘讬讘讛 (注状专)","page_num":"3","type":"balance_sheet","title":"诪讗讝谞讬诐"},"facts":[{"value":"2002","comment":null,"is_note":false,"note":null,"note_reference":"","date":"2023-12-31","path":["专讻讜砖 砖讜讟祝","诪讝讜诪谞讬诐 讜砖讜讜讬 诪讝讜诪谞讬诐"],"currency":"ILS","scale":1,"value_type":"amount"},{"value":"8196","comment":null,"is_note":false,"note":null,"note_reference":"","date":"2022-12-31","path":["专讻讜砖 砖讜讟祝","诪讝讜诪谞讬诐 讜砖讜讜讬 诪讝讜诪谞讬诐"],"currency":"ILS","scale":1,"value_type":"amount"},{"value":"14854","comment":null,"is_note":false,"note":null,"note_reference":"","date":"2023-12-31","path":["专讻讜砖 砖讜讟祝","讚诪讬 讞讘专 诇拽讘诇 / 诇拽讜讞讜转"],"currency":"ILS","scale":1,"value_type":"amount"},{"value":"3800","comment":null,"is_note":false,"note":null,"note_reference":"","date":"2022-12-31","path":["专讻讜砖 砖讜讟祝","讚诪讬 讞讘专 诇拽讘诇 / 诇拽讜讞讜转"],"currency":"ILS","scale":1,"value_type":"amount"},{"value":"16856","comment":null,"is_note":false,"note":null,"note_reference":"","date":"2023-12-31","path":["专讻讜砖 砖讜讟祝","住讛状讻"],"currency":"ILS","scale":1,"value_type":"amount"},{"value":"11996","comment":null,"is_note":false,"note":null,"note_reference":"","date":"2022-12-31","path":["专讻讜砖 砖讜讟祝","住讛状讻"],"currency":"ILS","scale":1,"value_type":"amount"},{"value":"26003","comment":null,"is_note":false,"note":null,"note_reference":"3","date":"2023-12-31","path":["专讻讜砖 拽讘讜注"],"currency":"ILS","scale":1,"value_type":"amount"},{"value":"8281","comment":null,"is_note":false,"note":null,"note_reference":"3","date":"2022-12-31","path":["专讻讜砖 拽讘讜注"],"currency":"ILS","scale":1,"value_type":"amount"},{"value":"42859","comment":null,"is_note":false,"note":null,"note_reference":"","date":"2023-12-31","path":["住讛\"讻 谞讻住讬诐"],"currency":"ILS","scale":1,"value_type":"amount"},{"value":"20277","comment":null,"is_note":false,"note":null,"note_reference":"","date":"2022-12-31","path":["住讛\"讻 谞讻住讬诐"],"currency":"ILS","scale":1,"value_type":"amount"},{"value":"27709","comment":null,"is_note":false,"note":null,"note_reference":"","date":"2023-12-31","path":["讛转讞讬讬讘讜讬讜转 砖讜讟驻讜转","讗砖专讗讬 诪转讗讙讬讚讬诐 讘谞拽讗讬讬诐"],"currency":"ILS","scale":1,"value_type":"amount"},{"value":"11460","comment":null,"is_note":false,"note":null,"note_reference":"","date":"2022-12-31","path":["讛转讞讬讬讘讜讬讜转 砖讜讟驻讜转","讗砖专讗讬 诪转讗讙讬讚讬诐 讘谞拽讗讬讬诐"],"currency":"ILS","scale":1,"value_type":"amount"},{"value":"15927","comment":null,"is_note":false,"note":null,"note_reference":"","date":"2023-12-31","path":["讛转讞讬讬讘讜讬讜转 砖讜讟驻讜转","住驻拽讬诐 讜谞讜转谞讬 砖专讜转讬诐"],"currency":"ILS","scale":1,"value_type":"amount"},{"value":"12230","comment":null,"is_note":false,"note":null,"note_reference":"","date":"2022-12-31","path":["讛转讞讬讬讘讜讬讜转 砖讜讟驻讜转","住驻拽讬诐 讜谞讜转谞讬 砖专讜转讬诐"],"currency":"ILS","scale":1,"value_type":"amount"},{"value":"37348","comment":null,"is_note":false,"note":null,"note_reference":"4","date":"2023-12-31","path":["讛转讞讬讬讘讜讬讜转 砖讜讟驻讜转","讝讻讗讬诐 砖讜谞讬诐 讜讬转专讜转 讝讻讜转"],"currency":"ILS","scale":1,"value_type":"amount"},{"value":"30594","comment":null,"is_note":false,"note":null,"note_reference":"4","date":"2022-12-31","path":["讛转讞讬讬讘讜讬讜转 砖讜讟驻讜转","讝讻讗讬诐 砖讜谞讬诐 讜讬转专讜转 讝讻讜转"],"currency":"ILS","scale":1,"value_type":"amount"},{"value":"80984","comment":null,"is_note":false,"note":null,"note_reference":"","date":"2023-12-31","path":["讛转讞讬讬讘讜讬讜转 砖讜讟驻讜转","住讛状讻"],"currency":"ILS","scale":1,"value_type":"amount"},{"value":"54284","comment":null,"is_note":false,"note":null,"note_reference":"","date":"2022-12-31","path":["讛转讞讬讬讘讜讬讜转 砖讜讟驻讜转","住讛状讻"],"currency":"ILS","scale":1,"value_type":"amount"},{"value":"80984","comment":null,"is_note":false,"note":null,"note_reference":"","date":"2023-12-31","path":["住讛\"讻 讛转讞讬讬讘讜讬讜转"],"currency":"ILS","scale":1,"value_type":"amount"},{"value":"54284","comment":null,"is_note":false,"note":null,"note_reference":"","date":"2022-12-31","path":["住讛\"讻 讛转讞讬讬讘讜讬讜转"],"currency":"ILS","scale":1,"value_type":"amount"},{"value":"","comment":null,"is_note":false,"note":null,"note_reference":"","date":"2023-12-31","path":["讙专注讜谉 讘讛讜谉","谞讻住讬诐 谞讟讜 砖诇讗 拽讬讬诪转 诇讙讘讬讛诐 讛讙讘诇讛 (讙专注讜谉)","谞讻住讬诐 谞讟讜 诇砖讬诪讜砖 诇驻注讬诇讜讬讜转","砖讬讜注讚讜 注诇 讬讚讬 诪讜住讚讜转 讛诪诇讻\"专"],"currency":"ILS","scale":1,"value_type":"amount"},{"value":"","comment":null,"is_note":false,"note":null,"note_reference":"","date":"2022-12-31","path":["讙专注讜谉 讘讛讜谉","谞讻住讬诐 谞讟讜 砖诇讗 拽讬讬诪转 诇讙讘讬讛诐 讛讙讘诇讛 (讙专注讜谉)","谞讻住讬诐 谞讟讜 诇砖讬诪讜砖 诇驻注讬诇讜讬讜转","砖讬讜注讚讜 注诇 讬讚讬 诪讜住讚讜转 讛诪诇讻\"专"],"currency":"ILS","scale":1,"value_type":"amount"},{"value":"(64128)","comment":null,"is_note":false,"note":null,"note_reference":"","date":"2023-12-31","path":["讙专注讜谉 讘讛讜谉","谞讻住讬诐 谞讟讜 诇砖讬诪讜砖 诇驻注讬诇讜讬讜转","谞讻住讬诐 谞讟讜 砖诇讗 拽讬讬诪转 诇讙讘讬讛诐 讛讙讘诇讛 (讙专注讜谉)","砖诇讗 讬讜注讚讜 注诇 讬讚讬 诪讜住讚讜转 讛诪诇讻\"专"],"currency":"ILS","scale":1,"value_type":"amount"},{"value":"(42288)","comment":null,"is_note":false,"note":null,"note_reference":"","date":"2022-12-31","path":["讙专注讜谉 讘讛讜谉","谞讻住讬诐 谞讟讜 诇砖讬诪讜砖 诇驻注讬诇讜讬讜转","谞讻住讬诐 谞讟讜 砖诇讗 拽讬讬诪转 诇讙讘讬讛诐 讛讙讘诇讛 (讙专注讜谉)","砖诇讗 讬讜注讚讜 注诇 讬讚讬 诪讜住讚讜转 讛诪诇讻\"专"],"currency":"ILS","scale":1,"value_type":"amount"},{"value":"(64128)","comment":null,"is_note":false,"note":null,"note_reference":"","date":"2023-12-31","path":["讙专注讜谉 讘讛讜谉","谞讻住讬诐 谞讟讜 砖诇讗 拽讬讬诪转 诇讙讘讬讛诐 讛讙讘诇讛 (讙专注讜谉)","谞讻住讬诐 谞讟讜 诇砖讬诪讜砖 诇驻注讬诇讜讬讜转","住讛\"讻"],"currency":"ILS","scale":1,"value_type":"amount"},{"value":"(42288)","comment":null,"is_note":false,"note":null,"note_reference":"","date":"2022-12-31","path":["讙专注讜谉 讘讛讜谉","谞讻住讬诐 谞讟讜 砖诇讗 拽讬讬诪转 诇讙讘讬讛诐 讛讙讘诇讛 (讙专注讜谉)","谞讻住讬诐 谞讟讜 诇砖讬诪讜砖 诇驻注讬诇讜讬讜转","住讛\"讻"],"currency":"ILS","scale":1,"value_type":"amount"},{"value":"26003","comment":null,"is_note":false,"note":null,"note_reference":"","date":"2023-12-31","path":["讙专注讜谉 讘讛讜谉","谞讻住讬诐 谞讟讜 砖诇讗 拽讬讬诪转 诇讙讘讬讛诐 讛讙讘诇讛 (讙专注讜谉)","谞讻住讬诐 谞讟讜 砖砖讬诪砖讜 诇专讻讜砖 拽讘讜注"],"currency":"ILS","scale":1,"value_type":"amount"},{"value":"8281","comment":null,"is_note":false,"note":null,"note_reference":"","date":"2022-12-31","path":["讙专注讜谉 讘讛讜谉","谞讻住讬诐 谞讟讜 砖诇讗 拽讬讬诪转 诇讙讘讬讛诐 讛讙讘诇讛 (讙专注讜谉)","谞讻住讬诐 谞讟讜 砖砖讬诪砖讜 诇专讻讜砖 拽讘讜注"],"currency":"ILS","scale":1,"value_type":"amount"},{"value":"(38125)","comment":null,"is_note":false,"note":null,"note_reference":"","date":"2023-12-31","path":["讙专注讜谉 讘讛讜谉","住讛状讻"],"currency":"ILS","scale":1,"value_type":"amount"},{"value":"(34007)","comment":null,"is_note":false,"note":null,"note_reference":"","date":"2022-12-31","path":["讙专注讜谉 讘讛讜谉","住讛状讻"],"currency":"ILS","scale":1,"value_type":"amount"},{"value":"42859","comment":null,"is_note":false,"note":null,"note_reference":"","date":"2023-12-31","path":["住讛\"讻 讛转讞讬讬讘讜讬讜转 讜谞讻住讬诐 谞讟讜"],"currency":"ILS","scale":1,"value_type":"amount"},{"value":"20277","comment":null,"is_note":false,"note":null,"note_reference":"","date":"2022-12-31","path":["住讛\"讻 讛转讞讬讬讘讜讬讜转 讜谞讻住讬诐 谞讟讜"],"currency":"ILS","scale":1,"value_type":"amount"}]} | |
You are a precise financial statement extraction system. Return only valid JSON that matches the required schema. | You are extracting financial-statement annotations from a single page image into the exact Pydantic schema `PageExtraction`.
Return ONLY valid JSON.
Do NOT return markdown, code fences, comments, prose, or extra keys.
Top-level schema (exact keys only):
{
"meta": {
"entity_name": "<string or null>",
"page_num": "<string or null>",
"type": "balance_sheet|income_statement|cash_flow|notes|contents_page|title|declaration|profits|other",
"title": "<string or null>"
},
"facts": [
{
"value": "<string>",
"comment": "<string or null>",
"is_note": <true|false>,
"note": "<string or null>",
"note_reference": "<string>",
"date": "<string or null>",
"path": ["<string>", "..."],
"currency": "ILS|USD|EUR|GBP|null",
"scale": 1|1000|1000000|null,
"value_type": "amount|%|null"
}
]
}
Type/validation rules (must match schema):
1. `meta` and `facts` are required.
2. `note_reference` is required string. Use "" when missing.
3. `path` is required list of strings (use [] when unknown, never null).
4. `is_note` must be boolean (never null and never "true"/"false" strings).
5. `date` must be `YYYY` or `YYYY-MM-DD` when provided.
6. `value` rules:
- If the value is a percentage, include `%` (for example `12%`, `12.5%`).
- If not a percentage, output only canonical numeric text: `Num`, `Num.Num`, `(Num)`, or `(Num.Num)`.
- For non-`%` values remove commas, spaces, currency signs/codes, and use parentheses for negatives (never leading `-`).
7. Use JSON null literal for missing optional values (never "null" string).
8. Do not include any keys not listed above.
Extraction rules:
1. Extract all visible numeric/table facts, including negatives in parentheses and totals.
2. If source is a dash placeholder (`-`, `鈥擿, `鈥揱), still extract the fact but set `value` to empty string `""`.
3. For non-`%` values, normalize `value` to canonical numeric shape only (`Num`, `Num.Num`, `(Num)`, `(Num.Num)`).
4. For `%` values, keep `%` in `value`.
6. `comment`: textual qualifier tied to the specific fact (for example `*without debt insurance`), else null.
7. `is_note`: true when the fact is itself inside a note section, else false.
8. `note`: use when this fact belongs to data presented inside a note section; else null.
9. `note_reference`: use when this fact points/references another note; else "".
10. `currency`: infer from page/header context (for example "砖拽诇讬诐 讞讚砖讬诐" -> "ILS"), else null.
11. `scale`: 1 unless page/header indicates thousands or millions.
12. `value_type`: "amount" unless the fact is a percentage ("%").
13. `date`: output only `YYYY` or `YYYY-MM-DD`. Convert dotted dates (`D.M.YYYY` / `DD.MM.YYYY`) to `YYYY-MM-DD` using day-first parsing.
14. `meta.type`: use "profits" for "讚讜讞讜转 注诇 讛驻注讬诇讜讬讜转"; otherwise choose the best enum value.
15. No duplicate facts. Order `facts` top-to-bottom; within each row use right-to-left for Hebrew/RTL pages and left-to-right for English/LTR pages (fallback RTL if uncertain).
16. Output UTF-8 Hebrew directly (do not escape to unicode sequences).
Path hierarchy rule:
1. Build `path` with horizontal-axis hierarchy first (row-side structure: group -> subgroup -> line item).
2. Then append vertical-axis hierarchy only when it adds business semantics not already represented by dedicated fields.
3. Do not encode period/currency/scale/value-format in `path` when already represented by `date`/`currency`/`scale`/`value_type`.
4. Keep labels exactly as shown. Do not invent levels. | {"meta":{"entity_name":"注转讬讚 讛讟谞讬住 - 注诪讜转讛 诇拽讬讚讜诐 讛讟谞讬住 讘讗讝讜专 专讗砖讜谉 诇爪讬讜谉 讜讛住讘讬讘讛 (注状专)","page_num":"4","type":"income_statement","title":"讚讜讞讜转 注诇 讛驻注讬诇讜讬讜转"},"facts":[{"value":"1445674","comment":null,"is_note":false,"note":null,"note_reference":"","date":"2023-12-31","path":["诪讞讝讜专 讛驻注讬诇讜讬讜转","讛讻谞住讜转 诪诪转谉 砖讬专讜转讬诐"],"currency":"ILS","scale":1,"value_type":"amount"},{"value":"1280395","comment":null,"is_note":false,"note":null,"note_reference":"","date":"2022-12-31","path":["诪讞讝讜专 讛驻注讬诇讜讬讜转","讛讻谞住讜转 诪诪转谉 砖讬专讜转讬诐"],"currency":"ILS","scale":1,"value_type":"amount"},{"value":"1304248","comment":null,"is_note":false,"note":null,"note_reference":"5","date":"2023-12-31","path":["注诇讜转 讛驻注讬诇讜讬讜转"],"currency":"ILS","scale":1,"value_type":"amount"},{"value":"1344239","comment":null,"is_note":false,"note":null,"note_reference":"5","date":"2022-12-31","path":["注诇讜转 讛驻注讬诇讜讬讜转"],"currency":"ILS","scale":1,"value_type":"amount"},{"value":"141426","comment":null,"is_note":false,"note":null,"note_reference":"","date":"2023-12-31","path":["讛讻谞住讜转 (讛讜爪讗讜转) 谞讟讜 诪驻注讬诇讜讬讜转 (诇驻注讬诇讜讬讜转)"],"currency":"ILS","scale":1,"value_type":"amount"},{"value":"(63844)","comment":null,"is_note":false,"note":null,"note_reference":"","date":"2022-12-31","path":["讛讻谞住讜转 (讛讜爪讗讜转) 谞讟讜 诪驻注讬诇讜讬讜转 (诇驻注讬诇讜讬讜转)"],"currency":"ILS","scale":1,"value_type":"amount"},{"value":"134960","comment":null,"is_note":false,"note":null,"note_reference":"6","date":"2023-12-31","path":["讛讜爪讗讜转 讛谞讛诇讛 讜讻诇诇讬讜转"],"currency":"ILS","scale":1,"value_type":"amount"},{"value":"142051","comment":null,"is_note":false,"note":null,"note_reference":"6","date":"2022-12-31","path":["讛讜爪讗讜转 讛谞讛诇讛 讜讻诇诇讬讜转"],"currency":"ILS","scale":1,"value_type":"amount"},{"value":"6466","comment":null,"is_note":false,"note":null,"note_reference":"","date":"2023-12-31","path":["讛讻谞住讜转 (讛讜爪讗讜转) 谞讟讜 诇驻谞讬 诪讬诪讜谉"],"currency":"ILS","scale":1,"value_type":"amount"},{"value":"(205895)","comment":null,"is_note":false,"note":null,"note_reference":"","date":"2022-12-31","path":["讛讻谞住讜转 (讛讜爪讗讜转) 谞讟讜 诇驻谞讬 诪讬诪讜谉"],"currency":"ILS","scale":1,"value_type":"amount"},{"value":"10584","comment":null,"is_note":false,"note":null,"note_reference":"","date":"2023-12-31","path":["诪讬诪讜谉, 谞讟讜"],"currency":"ILS","scale":1,"value_type":"amount"},{"value":"9102","comment":null,"is_note":false,"note":null,"note_reference":"","date":"2022-12-31","path":["诪讬诪讜谉, 谞讟讜"],"currency":"ILS","scale":1,"value_type":"amount"},{"value":"(4118)","comment":null,"is_note":false,"note":null,"note_reference":"","date":"2023-12-31","path":["讙专注讜谉 诇转拽讜驻讛"],"currency":"ILS","scale":1,"value_type":"amount"},{"value":"(214997)","comment":null,"is_note":false,"note":null,"note_reference":"","date":"2022-12-31","path":["讙专注讜谉 诇转拽讜驻讛"],"currency":"ILS","scale":1,"value_type":"amount"}]} | |
You are a precise financial statement extraction system. Return only valid JSON that matches the required schema. | You are extracting financial-statement annotations from a single page image into the exact Pydantic schema `PageExtraction`.
Return ONLY valid JSON.
Do NOT return markdown, code fences, comments, prose, or extra keys.
Top-level schema (exact keys only):
{
"meta": {
"entity_name": "<string or null>",
"page_num": "<string or null>",
"type": "balance_sheet|income_statement|cash_flow|notes|contents_page|title|declaration|profits|other",
"title": "<string or null>"
},
"facts": [
{
"value": "<string>",
"comment": "<string or null>",
"is_note": <true|false>,
"note": "<string or null>",
"note_reference": "<string>",
"date": "<string or null>",
"path": ["<string>", "..."],
"currency": "ILS|USD|EUR|GBP|null",
"scale": 1|1000|1000000|null,
"value_type": "amount|%|null"
}
]
}
Type/validation rules (must match schema):
1. `meta` and `facts` are required.
2. `note_reference` is required string. Use "" when missing.
3. `path` is required list of strings (use [] when unknown, never null).
4. `is_note` must be boolean (never null and never "true"/"false" strings).
5. `date` must be `YYYY` or `YYYY-MM-DD` when provided.
6. `value` rules:
- If the value is a percentage, include `%` (for example `12%`, `12.5%`).
- If not a percentage, output only canonical numeric text: `Num`, `Num.Num`, `(Num)`, or `(Num.Num)`.
- For non-`%` values remove commas, spaces, currency signs/codes, and use parentheses for negatives (never leading `-`).
7. Use JSON null literal for missing optional values (never "null" string).
8. Do not include any keys not listed above.
Extraction rules:
1. Extract all visible numeric/table facts, including negatives in parentheses and totals.
2. If source is a dash placeholder (`-`, `鈥擿, `鈥揱), still extract the fact but set `value` to empty string `""`.
3. For non-`%` values, normalize `value` to canonical numeric shape only (`Num`, `Num.Num`, `(Num)`, `(Num.Num)`).
4. For `%` values, keep `%` in `value`.
6. `comment`: textual qualifier tied to the specific fact (for example `*without debt insurance`), else null.
7. `is_note`: true when the fact is itself inside a note section, else false.
8. `note`: use when this fact belongs to data presented inside a note section; else null.
9. `note_reference`: use when this fact points/references another note; else "".
10. `currency`: infer from page/header context (for example "砖拽诇讬诐 讞讚砖讬诐" -> "ILS"), else null.
11. `scale`: 1 unless page/header indicates thousands or millions.
12. `value_type`: "amount" unless the fact is a percentage ("%").
13. `date`: output only `YYYY` or `YYYY-MM-DD`. Convert dotted dates (`D.M.YYYY` / `DD.MM.YYYY`) to `YYYY-MM-DD` using day-first parsing.
14. `meta.type`: use "profits" for "讚讜讞讜转 注诇 讛驻注讬诇讜讬讜转"; otherwise choose the best enum value.
15. No duplicate facts. Order `facts` top-to-bottom; within each row use right-to-left for Hebrew/RTL pages and left-to-right for English/LTR pages (fallback RTL if uncertain).
16. Output UTF-8 Hebrew directly (do not escape to unicode sequences).
Path hierarchy rule:
1. Build `path` with horizontal-axis hierarchy first (row-side structure: group -> subgroup -> line item).
2. Then append vertical-axis hierarchy only when it adds business semantics not already represented by dedicated fields.
3. Do not encode period/currency/scale/value-format in `path` when already represented by `date`/`currency`/`scale`/`value_type`.
4. Keep labels exactly as shown. 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讛诪诇讻\"专"],"currency":"ILS","scale":1,"value_type":"amount"},{"value":"","comment":null,"is_note":false,"note":null,"note_reference":"","date":"2023-12-31","path":["讛注讘专转 住讻讜诪讬诐 砖诇讗 拽讬讬诪转 诇讙讘讬讛诐 讛讙讘诇讛","砖讗讬谉 诇讙讘讬讛诐 讛讙讘诇讛","诇砖讬诪讜砖 诇驻注讬诇讜讬讜转 砖讬讜注讚讜 注诇 讬讚讬 诪讜住讚讜转 讛诪诇讻\"专"],"currency":"ILS","scale":1,"value_type":"amount"},{"value":"17722","comment":null,"is_note":false,"note":null,"note_reference":"","date":"2023-12-31","path":["讛注讘专转 住讻讜诪讬诐 砖诇讗 拽讬讬诪转 诇讙讘讬讛诐 讛讙讘诇讛","砖讗讬谉 诇讙讘讬讛诐 讛讙讘诇讛","谞讻住讬诐 谞讟讜 砖砖讬诪砖讜 诇专讻讜砖 拽讘讜注"],"currency":"ILS","scale":1,"value_type":"amount"},{"value":"","comment":null,"is_note":false,"note":null,"note_reference":"","date":"2023-12-31","path":["讛注讘专转 住讻讜诪讬诐 砖诇讗 拽讬讬诪转 诇讙讘讬讛诐 讛讙讘诇讛","住讛\"讻"],"currency":"ILS","scale":1,"value_type":"amount"},{"value":"(64128)","comment":null,"is_note":false,"note":null,"note_reference":"","date":"2023-12-31","path":["讬转专讜转 诇讬讜诐 31 讘讚爪诪讘专 2023","砖讗讬谉 诇讙讘讬讛诐 讛讙讘诇讛","诇砖讬诪讜砖 诇驻注讬诇讜讬讜转 砖诇讗 讬讜注讚讜 注诇 讬讚讬 诪讜住讚讜转 讛诪诇讻\"专"],"currency":"ILS","scale":1,"value_type":"amount"},{"value":"","comment":null,"is_note":false,"note":null,"note_reference":"","date":"2023-12-31","path":["讬转专讜转 诇讬讜诐 31 讘讚爪诪讘专 2023","砖讗讬谉 诇讙讘讬讛诐 讛讙讘诇讛","诇砖讬诪讜砖 诇驻注讬诇讜讬讜转 砖讬讜注讚讜 注诇 讬讚讬 诪讜住讚讜转 讛诪诇讻\"专"],"currency":"ILS","scale":1,"value_type":"amount"},{"value":"26003","comment":null,"is_note":false,"note":null,"note_reference":"","date":"2023-12-31","path":["讬转专讜转 诇讬讜诐 31 讘讚爪诪讘专 2023","砖讗讬谉 诇讙讘讬讛诐 讛讙讘诇讛","谞讻住讬诐 谞讟讜 砖砖讬诪砖讜 诇专讻讜砖 拽讘讜注"],"currency":"ILS","scale":1,"value_type":"amount"},{"value":"(38125)","comment":null,"is_note":false,"note":null,"note_reference":"","date":"2023-12-31","path":["讬转专讜转 诇讬讜诐 31 讘讚爪诪讘专 2023","住讛\"讻"],"currency":"ILS","scale":1,"value_type":"amount"}]} | |
You are a precise financial statement extraction system. Return only valid JSON that matches the required schema. | You are extracting financial-statement annotations from a single page image into the exact Pydantic schema `PageExtraction`.
Return ONLY valid JSON.
Do NOT return markdown, code fences, comments, prose, or extra keys.
Top-level schema (exact keys only):
{
"meta": {
"entity_name": "<string or null>",
"page_num": "<string or null>",
"type": "balance_sheet|income_statement|cash_flow|notes|contents_page|title|declaration|profits|other",
"title": "<string or null>"
},
"facts": [
{
"value": "<string>",
"comment": "<string or null>",
"is_note": <true|false>,
"note": "<string or null>",
"note_reference": "<string>",
"date": "<string or null>",
"path": ["<string>", "..."],
"currency": "ILS|USD|EUR|GBP|null",
"scale": 1|1000|1000000|null,
"value_type": "amount|%|null"
}
]
}
Type/validation rules (must match schema):
1. `meta` and `facts` are required.
2. `note_reference` is required string. Use "" when missing.
3. `path` is required list of strings (use [] when unknown, never null).
4. `is_note` must be boolean (never null and never "true"/"false" strings).
5. `date` must be `YYYY` or `YYYY-MM-DD` when provided.
6. `value` rules:
- If the value is a percentage, include `%` (for example `12%`, `12.5%`).
- If not a percentage, output only canonical numeric text: `Num`, `Num.Num`, `(Num)`, or `(Num.Num)`.
- For non-`%` values remove commas, spaces, currency signs/codes, and use parentheses for negatives (never leading `-`).
7. Use JSON null literal for missing optional values (never "null" string).
8. Do not include any keys not listed above.
Extraction rules:
1. Extract all visible numeric/table facts, including negatives in parentheses and totals.
2. If source is a dash placeholder (`-`, `鈥擿, `鈥揱), still extract the fact but set `value` to empty string `""`.
3. For non-`%` values, normalize `value` to canonical numeric shape only (`Num`, `Num.Num`, `(Num)`, `(Num.Num)`).
4. For `%` values, keep `%` in `value`.
6. `comment`: textual qualifier tied to the specific fact (for example `*without debt insurance`), else null.
7. `is_note`: true when the fact is itself inside a note section, else false.
8. `note`: use when this fact belongs to data presented inside a note section; else null.
9. `note_reference`: use when this fact points/references another note; else "".
10. `currency`: infer from page/header context (for example "砖拽诇讬诐 讞讚砖讬诐" -> "ILS"), else null.
11. `scale`: 1 unless page/header indicates thousands or millions.
12. `value_type`: "amount" unless the fact is a percentage ("%").
13. `date`: output only `YYYY` or `YYYY-MM-DD`. Convert dotted dates (`D.M.YYYY` / `DD.MM.YYYY`) to `YYYY-MM-DD` using day-first parsing.
14. `meta.type`: use "profits" for "讚讜讞讜转 注诇 讛驻注讬诇讜讬讜转"; otherwise choose the best enum value.
15. No duplicate facts. Order `facts` top-to-bottom; within each row use right-to-left for Hebrew/RTL pages and left-to-right for English/LTR pages (fallback RTL if uncertain).
16. Output UTF-8 Hebrew directly (do not escape to unicode sequences).
Path hierarchy rule:
1. Build `path` with horizontal-axis hierarchy first (row-side structure: group -> subgroup -> line item).
2. Then append vertical-axis hierarchy only when it adds business semantics not already represented by dedicated fields.
3. Do not encode period/currency/scale/value-format in `path` when already represented by `date`/`currency`/`scale`/`value_type`.
4. Keep labels exactly as shown. Do not invent levels. | {"meta":{"entity_name":"注转讬讚 讛讟谞讬住 - 注诪讜转讛 诇拽讬讚讜诐 讛讟谞讬住 讘讗讝讜专 专讗砖讜谉 诇爪讬讜谉 讜讛住讘讬讘讛 (注\"专)","page_num":"6","type":"notes","title":"讘讗讜专讬诐 诇讚讜讞讜转 讛讻住驻讬讬诐"},"facts":[{"value":"29561","comment":"3","is_note":true,"note":"3","note_reference":"","date":"2023-12-31","path":["讘讗讜专 3 - 专讻讜砖 拽讘讜注","专讬讛讜讟 讜爪讬讜讚 诪砖专讚讬","注诇讜转"],"currency":"ILS","scale":1,"value_type":"amount"},{"value":"3558","comment":"3","is_note":true,"note":"3","note_reference":"","date":"2023-12-31","path":["讘讗讜专 3 - 专讻讜砖 拽讘讜注","专讬讛讜讟 讜爪讬讜讚 诪砖专讚讬","驻讞转 砖谞爪讘专"],"currency":"ILS","scale":1,"value_type":"amount"},{"value":"26003","comment":"3","is_note":true,"note":"3","note_reference":"","date":"2023-12-31","path":["讘讗讜专 3 - 专讻讜砖 拽讘讜注","专讬讛讜讟 讜爪讬讜讚 诪砖专讚讬","注诇讜转 诪讜驻讞转转"],"currency":"ILS","scale":1,"value_type":"amount"},{"value":"8281","comment":"3","is_note":true,"note":"3","note_reference":"","date":"2022-12-31","path":["讘讗讜专 3 - 专讻讜砖 拽讘讜注","专讬讛讜讟 讜爪讬讜讚 诪砖专讚讬","注诇讜转 诪讜驻讞转转"],"currency":"ILS","scale":1,"value_type":"amount"}]} | |
You are a precise financial statement extraction system. Return only valid JSON that matches the required schema. | You are extracting financial-statement annotations from a single page image into the exact Pydantic schema `PageExtraction`.
Return ONLY valid JSON.
Do NOT return markdown, code fences, comments, prose, or extra keys.
Top-level schema (exact keys only):
{
"meta": {
"entity_name": "<string or null>",
"page_num": "<string or null>",
"type": "balance_sheet|income_statement|cash_flow|notes|contents_page|title|declaration|profits|other",
"title": "<string or null>"
},
"facts": [
{
"value": "<string>",
"comment": "<string or null>",
"is_note": <true|false>,
"note": "<string or null>",
"note_reference": "<string>",
"date": "<string or null>",
"path": ["<string>", "..."],
"currency": "ILS|USD|EUR|GBP|null",
"scale": 1|1000|1000000|null,
"value_type": "amount|%|null"
}
]
}
Type/validation rules (must match schema):
1. `meta` and `facts` are required.
2. `note_reference` is required string. Use "" when missing.
3. `path` is required list of strings (use [] when unknown, never null).
4. `is_note` must be boolean (never null and never "true"/"false" strings).
5. `date` must be `YYYY` or `YYYY-MM-DD` when provided.
6. `value` rules:
- If the value is a percentage, include `%` (for example `12%`, `12.5%`).
- If not a percentage, output only canonical numeric text: `Num`, `Num.Num`, `(Num)`, or `(Num.Num)`.
- For non-`%` values remove commas, spaces, currency signs/codes, and use parentheses for negatives (never leading `-`).
7. Use JSON null literal for missing optional values (never "null" string).
8. Do not include any keys not listed above.
Extraction rules:
1. Extract all visible numeric/table facts, including negatives in parentheses and totals.
2. If source is a dash placeholder (`-`, `鈥擿, `鈥揱), still extract the fact but set `value` to empty string `""`.
3. For non-`%` values, normalize `value` to canonical numeric shape only (`Num`, `Num.Num`, `(Num)`, `(Num.Num)`).
4. For `%` values, keep `%` in `value`.
6. `comment`: textual qualifier tied to the specific fact (for example `*without debt insurance`), else null.
7. `is_note`: true when the fact is itself inside a note section, else false.
8. `note`: use when this fact belongs to data presented inside a note section; else null.
9. `note_reference`: use when this fact points/references another note; else "".
10. `currency`: infer from page/header context (for example "砖拽诇讬诐 讞讚砖讬诐" -> "ILS"), else null.
11. `scale`: 1 unless page/header indicates thousands or millions.
12. `value_type`: "amount" unless the fact is a percentage ("%").
13. `date`: output only `YYYY` or `YYYY-MM-DD`. Convert dotted dates (`D.M.YYYY` / `DD.MM.YYYY`) to `YYYY-MM-DD` using day-first parsing.
14. `meta.type`: use "profits" for "讚讜讞讜转 注诇 讛驻注讬诇讜讬讜转"; otherwise choose the best enum value.
15. No duplicate facts. Order `facts` top-to-bottom; within each row use right-to-left for Hebrew/RTL pages and left-to-right for English/LTR pages (fallback RTL if uncertain).
16. Output UTF-8 Hebrew directly (do not escape to unicode sequences).
Path hierarchy rule:
1. Build `path` with horizontal-axis hierarchy first (row-side structure: group -> subgroup -> line item).
2. Then append vertical-axis hierarchy only when it adds business semantics not already represented by dedicated fields.
3. Do not encode period/currency/scale/value-format in `path` when already represented by `date`/`currency`/`scale`/`value_type`.
4. Keep labels exactly as shown. Do not invent levels. | {"meta":{"entity_name":"注转讬讚 讛讟谞讬住 - 注诪讜转讛 诇拽讬讚讜诐 讛讟谞讬住 讘讗讝讜专 专讗砖讜谉 诇爪讬讜谉 讜讛住讘讬讘讛 (注\"专)","page_num":"7","type":"notes","title":"讘讗讜专讬诐 诇讚讜讞讜转 讛讻住驻讬讬诐"},"facts":[{"value":"8230","comment":null,"is_note":false,"note":null,"note_reference":"","date":"2023-12-31","path":["讘讗讜专 4 - 讝讻讗讬诐 砖讜谞讬诐 讜讬转专讜转 讝讻讜转","诪讜住讚讜转"],"currency":"ILS","scale":1,"value_type":"amount"},{"value":"20021","comment":null,"is_note":false,"note":null,"note_reference":"","date":"2022-12-31","path":["讘讗讜专 4 - 讝讻讗讬诐 砖讜谞讬诐 讜讬转专讜转 讝讻讜转","诪讜住讚讜转"],"currency":"ILS","scale":1,"value_type":"amount"},{"value":"25780","comment":null,"is_note":false,"note":null,"note_reference":"","date":"2023-12-31","path":["讘讗讜专 4 - 讝讻讗讬诐 砖讜谞讬诐 讜讬转专讜转 讝讻讜转","注讜讘讚讬诐"],"currency":"ILS","scale":1,"value_type":"amount"},{"value":"10573","comment":null,"is_note":false,"note":null,"note_reference":"","date":"2022-12-31","path":["讘讗讜专 4 - 讝讻讗讬诐 砖讜谞讬诐 讜讬转专讜转 讝讻讜转","注讜讘讚讬诐"],"currency":"ILS","scale":1,"value_type":"amount"},{"value":"3338","comment":null,"is_note":false,"note":null,"note_reference":"","date":"2023-12-31","path":["讘讗讜专 4 - 讝讻讗讬诐 砖讜谞讬诐 讜讬转专讜转 讝讻讜转","讗讞专讬诐"],"currency":"ILS","scale":1,"value_type":"amount"},{"value":"","comment":null,"is_note":false,"note":null,"note_reference":"","date":"2022-12-31","path":["讘讗讜专 4 - 讝讻讗讬诐 砖讜谞讬诐 讜讬转专讜转 讝讻讜转","讗讞专讬诐"],"currency":"ILS","scale":1,"value_type":"amount"},{"value":"37348","comment":null,"is_note":false,"note":null,"note_reference":"","date":"2023-12-31","path":["讘讗讜专 4 - 讝讻讗讬诐 砖讜谞讬诐 讜讬转专讜转 讝讻讜转","住讛\"讻"],"currency":"ILS","scale":1,"value_type":"amount"},{"value":"30594","comment":null,"is_note":false,"note":null,"note_reference":"","date":"2022-12-31","path":["讘讗讜专 4 - 讝讻讗讬诐 砖讜谞讬诐 讜讬转专讜转 讝讻讜转","住讛\"讻"],"currency":"ILS","scale":1,"value_type":"amount"},{"value":"483409","comment":null,"is_note":false,"note":null,"note_reference":"","date":"2023-12-31","path":["讘讗讜专 5 - 注诇讜转 讛驻注讬诇讜讬讜转","砖讻专 注讘讜讚讛"],"currency":"ILS","scale":1,"value_type":"amount"},{"value":"389331","comment":null,"is_note":false,"note":null,"note_reference":"","date":"2022-12-31","path":["讘讗讜专 5 - 注诇讜转 讛驻注讬诇讜讬讜转","砖讻专 注讘讜讚讛"],"currency":"ILS","scale":1,"value_type":"amount"},{"value":"88943","comment":null,"is_note":false,"note":null,"note_reference":"","date":"2023-12-31","path":["讘讗讜专 5 - 注诇讜转 讛驻注讬诇讜讬讜转","讛讜爪讗讜转 谞诇讜讜转 诇砖讻专"],"currency":"ILS","scale":1,"value_type":"amount"},{"value":"80649","comment":null,"is_note":false,"note":null,"note_reference":"","date":"2022-12-31","path":["讘讗讜专 5 - 注诇讜转 讛驻注讬诇讜讬讜转","讛讜爪讗讜转 谞诇讜讜转 诇砖讻专"],"currency":"ILS","scale":1,"value_type":"amount"},{"value":"330793","comment":null,"is_note":false,"note":null,"note_reference":"","date":"2023-12-31","path":["讘讗讜专 5 - 注诇讜转 讛驻注讬诇讜讬讜转","拽讘诇谞讬 诪砖谞讛 讜注讘讜讚讜转 讞讜抓"],"currency":"ILS","scale":1,"value_type":"amount"},{"value":"434594","comment":null,"is_note":false,"note":null,"note_reference":"","date":"2022-12-31","path":["讘讗讜专 5 - 注诇讜转 讛驻注讬诇讜讬讜转","拽讘诇谞讬 诪砖谞讛 讜注讘讜讚讜转 讞讜抓"],"currency":"ILS","scale":1,"value_type":"amount"},{"value":"118105","comment":null,"is_note":false,"note":null,"note_reference":"","date":"2023-12-31","path":["讘讗讜专 5 - 注诇讜转 讛驻注讬诇讜讬讜转","砖讻讬专讜转 诪转拽谞讬诐 讜诪讙专砖讬诐"],"currency":"ILS","scale":1,"value_type":"amount"},{"value":"168043","comment":null,"is_note":false,"note":null,"note_reference":"","date":"2022-12-31","path":["讘讗讜专 5 - 注诇讜转 讛驻注讬诇讜讬讜转","砖讻讬专讜转 诪转拽谞讬诐 讜诪讙专砖讬诐"],"currency":"ILS","scale":1,"value_type":"amount"},{"value":"4461","comment":null,"is_note":false,"note":null,"note_reference":"","date":"2023-12-31","path":["讘讗讜专 5 - 注诇讜转 讛驻注讬诇讜讬讜转","讛住注讜转 讜讛讜讘诇讜转"],"currency":"ILS","scale":1,"value_type":"amount"},{"value":"8495","comment":null,"is_note":false,"note":null,"note_reference":"","date":"2022-12-31","path":["讘讗讜专 5 - 注诇讜转 讛驻注讬诇讜讬讜转","讛住注讜转 讜讛讜讘诇讜转"],"currency":"ILS","scale":1,"value_type":"amount"},{"value":"80865","comment":null,"is_note":false,"note":null,"note_reference":"","date":"2023-12-31","path":["讘讗讜专 5 - 注诇讜转 讛驻注讬诇讜讬讜转","拽谞讬讜转 驻专住讬诐, 爪讬讜讚 讜讘讬讙讜讚"],"currency":"ILS","scale":1,"value_type":"amount"},{"value":"91309","comment":null,"is_note":false,"note":null,"note_reference":"","date":"2022-12-31","path":["讘讗讜专 5 - 注诇讜转 讛驻注讬诇讜讬讜转","拽谞讬讜转 驻专住讬诐, 爪讬讜讚 讜讘讬讙讜讚"],"currency":"ILS","scale":1,"value_type":"amount"},{"value":"197672","comment":null,"is_note":false,"note":null,"note_reference":"","date":"2023-12-31","path":["讘讗讜专 5 - 注诇讜转 讛驻注讬诇讜讬讜转","讛驻拽转 驻专讜讬讬拽讟讬诐 讜讗讬专讜注讬诐"],"currency":"ILS","scale":1,"value_type":"amount"},{"value":"171818","comment":null,"is_note":false,"note":null,"note_reference":"","date":"2022-12-31","path":["讘讗讜专 5 - 注诇讜转 讛驻注讬诇讜讬讜转","讛驻拽转 驻专讜讬讬拽讟讬诐 讜讗讬专讜注讬诐"],"currency":"ILS","scale":1,"value_type":"amount"},{"value":"1304248","comment":null,"is_note":false,"note":null,"note_reference":"","date":"2023-12-31","path":["讘讗讜专 5 - 注诇讜转 讛驻注讬诇讜讬讜转","住讛\"讻"],"currency":"ILS","scale":1,"value_type":"amount"},{"value":"1344239","comment":null,"is_note":false,"note":null,"note_reference":"","date":"2022-12-31","path":["讘讗讜专 5 - 注诇讜转 讛驻注讬诇讜讬讜转","住讛\"讻"],"currency":"ILS","scale":1,"value_type":"amount"},{"value":"10389","comment":null,"is_note":false,"note":null,"note_reference":"","date":"2023-12-31","path":["讘讗讜专 6 - 讛讜爪讗讜转 讛谞讛诇讛 讜讻诇诇讬讜转","诪砖专讚讬讜转"],"currency":"ILS","scale":1,"value_type":"amount"},{"value":"11572","comment":null,"is_note":false,"note":null,"note_reference":"","date":"2022-12-31","path":["讘讗讜专 6 - 讛讜爪讗讜转 讛谞讛诇讛 讜讻诇诇讬讜转","诪砖专讚讬讜转"],"currency":"ILS","scale":1,"value_type":"amount"},{"value":"10134","comment":null,"is_note":false,"note":null,"note_reference":"","date":"2023-12-31","path":["讘讗讜专 6 - 讛讜爪讗讜转 讛谞讛诇讛 讜讻诇诇讬讜转","讗讞讝拽讛"],"currency":"ILS","scale":1,"value_type":"amount"},{"value":"4983","comment":null,"is_note":false,"note":null,"note_reference":"","date":"2022-12-31","path":["讘讗讜专 6 - 讛讜爪讗讜转 讛谞讛诇讛 讜讻诇诇讬讜转","讗讞讝拽讛"],"currency":"ILS","scale":1,"value_type":"amount"},{"value":"31856","comment":null,"is_note":false,"note":null,"note_reference":"","date":"2023-12-31","path":["讘讗讜专 6 - 讛讜爪讗讜转 讛谞讛诇讛 讜讻诇诇讬讜转","砖讬专讜转讬诐 诪拽爪讜注讬讬诐"],"currency":"ILS","scale":1,"value_type":"amount"},{"value":"39560","comment":null,"is_note":false,"note":null,"note_reference":"","date":"2022-12-31","path":["讘讗讜专 6 - 讛讜爪讗讜转 讛谞讛诇讛 讜讻诇诇讬讜转","砖讬专讜转讬诐 诪拽爪讜注讬讬诐"],"currency":"ILS","scale":1,"value_type":"amount"},{"value":"","comment":null,"is_note":false,"note":null,"note_reference":"","date":"2023-12-31","path":["讘讗讜专 6 - 讛讜爪讗讜转 讛谞讛诇讛 讜讻诇诇讬讜转","讻讬讘讜讚讬诐 讜讗砖\"诇"],"currency":"ILS","scale":1,"value_type":"amount"},{"value":"4384","comment":null,"is_note":false,"note":null,"note_reference":"","date":"2022-12-31","path":["讘讗讜专 6 - 讛讜爪讗讜转 讛谞讛诇讛 讜讻诇诇讬讜转","讻讬讘讜讚讬诐 讜讗砖\"诇"],"currency":"ILS","scale":1,"value_type":"amount"},{"value":"11658","comment":null,"is_note":false,"note":null,"note_reference":"","date":"2023-12-31","path":["讘讗讜专 6 - 讛讜爪讗讜转 讛谞讛诇讛 讜讻诇诇讬讜转","讘讬讟讜讞讬诐"],"currency":"ILS","scale":1,"value_type":"amount"},{"value":"12971","comment":null,"is_note":false,"note":null,"note_reference":"","date":"2022-12-31","path":["讘讗讜专 6 - 讛讜爪讗讜转 讛谞讛诇讛 讜讻诇诇讬讜转","讘讬讟讜讞讬诐"],"currency":"ILS","scale":1,"value_type":"amount"},{"value":"45309","comment":null,"is_note":false,"note":null,"note_reference":"","date":"2023-12-31","path":["讘讗讜专 6 - 讛讜爪讗讜转 讛谞讛诇讛 讜讻诇诇讬讜转","讗讞讝拽转 专讻讘"],"currency":"ILS","scale":1,"value_type":"amount"},{"value":"45984","comment":null,"is_note":false,"note":null,"note_reference":"","date":"2022-12-31","path":["讘讗讜专 6 - 讛讜爪讗讜转 讛谞讛诇讛 讜讻诇诇讬讜转","讗讞讝拽转 专讻讘"],"currency":"ILS","scale":1,"value_type":"amount"},{"value":"702","comment":null,"is_note":false,"note":null,"note_reference":"","date":"2023-12-31","path":["讘讗讜专 6 - 讛讜爪讗讜转 讛谞讛诇讛 讜讻诇诇讬讜转","诪砖驻讟讬讜转"],"currency":"ILS","scale":1,"value_type":"amount"},{"value":"","comment":null,"is_note":false,"note":null,"note_reference":"","date":"2022-12-31","path":["讘讗讜专 6 - 讛讜爪讗讜转 讛谞讛诇讛 讜讻诇诇讬讜转","诪砖驻讟讬讜转"],"currency":"ILS","scale":1,"value_type":"amount"},{"value":"18964","comment":null,"is_note":false,"note":null,"note_reference":"","date":"2023-12-31","path":["讘讗讜专 6 - 讛讜爪讗讜转 讛谞讛诇讛 讜讻诇诇讬讜转","驻专住讜诐"],"currency":"ILS","scale":1,"value_type":"amount"},{"value":"13122","comment":null,"is_note":false,"note":null,"note_reference":"","date":"2022-12-31","path":["讘讗讜专 6 - 讛讜爪讗讜转 讛谞讛诇讛 讜讻诇诇讬讜转","驻专住讜诐"],"currency":"ILS","scale":1,"value_type":"amount"},{"value":"1715","comment":null,"is_note":false,"note":null,"note_reference":"","date":"2023-12-31","path":["讘讗讜专 6 - 讛讜爪讗讜转 讛谞讛诇讛 讜讻诇诇讬讜转","诪讬住讬诐 讜讗讙专讜转"],"currency":"ILS","scale":1,"value_type":"amount"},{"value":"4966","comment":null,"is_note":false,"note":null,"note_reference":"","date":"2022-12-31","path":["讘讗讜专 6 - 讛讜爪讗讜转 讛谞讛诇讛 讜讻诇诇讬讜转","诪讬住讬诐 讜讗讙专讜转"],"currency":"ILS","scale":1,"value_type":"amount"},{"value":"(35)","comment":null,"is_note":false,"note":null,"note_reference":"","date":"2023-12-31","path":["讘讗讜专 6 - 讛讜爪讗讜转 讛谞讛诇讛 讜讻诇诇讬讜转","砖讜谞讜转 讜讘讟讜诇讬 讬转专讜转"],"currency":"ILS","scale":1,"value_type":"amount"},{"value":"(261)","comment":null,"is_note":false,"note":null,"note_reference":"","date":"2022-12-31","path":["讘讗讜专 6 - 讛讜爪讗讜转 讛谞讛诇讛 讜讻诇诇讬讜转","砖讜谞讜转 讜讘讟讜诇讬 讬转专讜转"],"currency":"ILS","scale":1,"value_type":"amount"},{"value":"1830","comment":null,"is_note":false,"note":null,"note_reference":"","date":"2023-12-31","path":["讘讗讜专 6 - 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讛讜爪讗讜转 讛谞讛诇讛 讜讻诇诇讬讜转","住讛\"讻"],"currency":"ILS","scale":1,"value_type":"amount"}]} | |
You are a precise financial statement extraction system. Return only valid JSON that matches the required schema. | You are extracting financial-statement annotations from a single page image into the exact Pydantic schema `PageExtraction`.
Return ONLY valid JSON.
Do NOT return markdown, code fences, comments, prose, or extra keys.
Top-level schema (exact keys only):
{
"meta": {
"entity_name": "<string or null>",
"page_num": "<string or null>",
"type": "balance_sheet|income_statement|cash_flow|notes|contents_page|title|declaration|profits|other",
"title": "<string or null>"
},
"facts": [
{
"value": "<string>",
"comment": "<string or null>",
"is_note": <true|false>,
"note": "<string or null>",
"note_reference": "<string>",
"date": "<string or null>",
"path": ["<string>", "..."],
"currency": "ILS|USD|EUR|GBP|null",
"scale": 1|1000|1000000|null,
"value_type": "amount|%|null"
}
]
}
Type/validation rules (must match schema):
1. `meta` and `facts` are required.
2. `note_reference` is required string. Use "" when missing.
3. `path` is required list of strings (use [] when unknown, never null).
4. `is_note` must be boolean (never null and never "true"/"false" strings).
5. `date` must be `YYYY` or `YYYY-MM-DD` when provided.
6. `value` rules:
- If the value is a percentage, include `%` (for example `12%`, `12.5%`).
- If not a percentage, output only canonical numeric text: `Num`, `Num.Num`, `(Num)`, or `(Num.Num)`.
- For non-`%` values remove commas, spaces, currency signs/codes, and use parentheses for negatives (never leading `-`).
7. Use JSON null literal for missing optional values (never "null" string).
8. Do not include any keys not listed above.
Extraction rules:
1. Extract all visible numeric/table facts, including negatives in parentheses and totals.
2. If source is a dash placeholder (`-`, `鈥擿, `鈥揱), still extract the fact but set `value` to empty string `""`.
3. For non-`%` values, normalize `value` to canonical numeric shape only (`Num`, `Num.Num`, `(Num)`, `(Num.Num)`).
4. For `%` values, keep `%` in `value`.
6. `comment`: textual qualifier tied to the specific fact (for example `*without debt insurance`), else null.
7. `is_note`: true when the fact is itself inside a note section, else false.
8. `note`: use when this fact belongs to data presented inside a note section; else null.
9. `note_reference`: use when this fact points/references another note; else "".
10. `currency`: infer from page/header context (for example "砖拽诇讬诐 讞讚砖讬诐" -> "ILS"), else null.
11. `scale`: 1 unless page/header indicates thousands or millions.
12. `value_type`: "amount" unless the fact is a percentage ("%").
13. `date`: output only `YYYY` or `YYYY-MM-DD`. Convert dotted dates (`D.M.YYYY` / `DD.MM.YYYY`) to `YYYY-MM-DD` using day-first parsing.
14. `meta.type`: use "profits" for "讚讜讞讜转 注诇 讛驻注讬诇讜讬讜转"; otherwise choose the best enum value.
15. No duplicate facts. Order `facts` top-to-bottom; within each row use right-to-left for Hebrew/RTL pages and left-to-right for English/LTR pages (fallback RTL if uncertain).
16. Output UTF-8 Hebrew directly (do not escape to unicode sequences).
Path hierarchy rule:
1. Build `path` with horizontal-axis hierarchy first (row-side structure: group -> subgroup -> line item).
2. Then append vertical-axis hierarchy only when it adds business semantics not already represented by dedicated fields.
3. Do not encode period/currency/scale/value-format in `path` when already represented by `date`/`currency`/`scale`/`value_type`.
4. Keep labels exactly as shown. Do not invent levels. | {"meta":{"entity_name":"讗讜专谞讬诐 - 讛诪讻诇诇讛 讛讗拽讚诪讬转 诇讞讬谞讜讱, 讛转谞讜注讛 讛拽讬讘讜爪讬转","page_num":null,"type":"other","title":"讚讜讞讜转 讻住驻讬讬诐"},"facts":[]} | |
You are a precise financial statement extraction system. Return only valid JSON that matches the required schema. | You are extracting financial-statement annotations from a single page image into the exact Pydantic schema `PageExtraction`.
Return ONLY valid JSON.
Do NOT return markdown, code fences, comments, prose, or extra keys.
Top-level schema (exact keys only):
{
"meta": {
"entity_name": "<string or null>",
"page_num": "<string or null>",
"type": "balance_sheet|income_statement|cash_flow|notes|contents_page|title|declaration|profits|other",
"title": "<string or null>"
},
"facts": [
{
"value": "<string>",
"comment": "<string or null>",
"is_note": <true|false>,
"note": "<string or null>",
"note_reference": "<string>",
"date": "<string or null>",
"path": ["<string>", "..."],
"currency": "ILS|USD|EUR|GBP|null",
"scale": 1|1000|1000000|null,
"value_type": "amount|%|null"
}
]
}
Type/validation rules (must match schema):
1. `meta` and `facts` are required.
2. `note_reference` is required string. Use "" when missing.
3. `path` is required list of strings (use [] when unknown, never null).
4. `is_note` must be boolean (never null and never "true"/"false" strings).
5. `date` must be `YYYY` or `YYYY-MM-DD` when provided.
6. `value` rules:
- If the value is a percentage, include `%` (for example `12%`, `12.5%`).
- If not a percentage, output only canonical numeric text: `Num`, `Num.Num`, `(Num)`, or `(Num.Num)`.
- For non-`%` values remove commas, spaces, currency signs/codes, and use parentheses for negatives (never leading `-`).
7. Use JSON null literal for missing optional values (never "null" string).
8. Do not include any keys not listed above.
Extraction rules:
1. Extract all visible numeric/table facts, including negatives in parentheses and totals.
2. If source is a dash placeholder (`-`, `鈥擿, `鈥揱), still extract the fact but set `value` to empty string `""`.
3. For non-`%` values, normalize `value` to canonical numeric shape only (`Num`, `Num.Num`, `(Num)`, `(Num.Num)`).
4. For `%` values, keep `%` in `value`.
6. `comment`: textual qualifier tied to the specific fact (for example `*without debt insurance`), else null.
7. `is_note`: true when the fact is itself inside a note section, else false.
8. `note`: use when this fact belongs to data presented inside a note section; else null.
9. `note_reference`: use when this fact points/references another note; else "".
10. `currency`: infer from page/header context (for example "砖拽诇讬诐 讞讚砖讬诐" -> "ILS"), else null.
11. `scale`: 1 unless page/header indicates thousands or millions.
12. `value_type`: "amount" unless the fact is a percentage ("%").
13. `date`: output only `YYYY` or `YYYY-MM-DD`. Convert dotted dates (`D.M.YYYY` / `DD.MM.YYYY`) to `YYYY-MM-DD` using day-first parsing.
14. `meta.type`: use "profits" for "讚讜讞讜转 注诇 讛驻注讬诇讜讬讜转"; otherwise choose the best enum value.
15. No duplicate facts. Order `facts` top-to-bottom; within each row use right-to-left for Hebrew/RTL pages and left-to-right for English/LTR pages (fallback RTL if uncertain).
16. Output UTF-8 Hebrew directly (do not escape to unicode sequences).
Path hierarchy rule:
1. Build `path` with horizontal-axis hierarchy first (row-side structure: group -> subgroup -> line item).
2. Then append vertical-axis hierarchy only when it adds business semantics not already represented by dedicated fields.
3. Do not encode period/currency/scale/value-format in `path` when already represented by `date`/`currency`/`scale`/`value_type`.
4. Keep labels exactly as shown. Do not invent levels. | {"meta":{"entity_name":"讗讜专谞讬诐 - 讛诪讻诇诇讛 讛讗拽讚诪讬转 诇讞讬谞讜讱, 讛转谞讜注讛 讛拽讬讘讜爪讬转","page_num":null,"type":"contents_page","title":"转讜讻谉 讛注谞讬讬谞讬诐"},"facts":[]} | |
You are a precise financial statement extraction system. Return only valid JSON that matches the required schema. | You are extracting financial-statement annotations from a single page image into the exact Pydantic schema `PageExtraction`.
Return ONLY valid JSON.
Do NOT return markdown, code fences, comments, prose, or extra keys.
Top-level schema (exact keys only):
{
"meta": {
"entity_name": "<string or null>",
"page_num": "<string or null>",
"type": "balance_sheet|income_statement|cash_flow|notes|contents_page|title|declaration|profits|other",
"title": "<string or null>"
},
"facts": [
{
"value": "<string>",
"comment": "<string or null>",
"is_note": <true|false>,
"note": "<string or null>",
"note_reference": "<string>",
"date": "<string or null>",
"path": ["<string>", "..."],
"currency": "ILS|USD|EUR|GBP|null",
"scale": 1|1000|1000000|null,
"value_type": "amount|%|null"
}
]
}
Type/validation rules (must match schema):
1. `meta` and `facts` are required.
2. `note_reference` is required string. Use "" when missing.
3. `path` is required list of strings (use [] when unknown, never null).
4. `is_note` must be boolean (never null and never "true"/"false" strings).
5. `date` must be `YYYY` or `YYYY-MM-DD` when provided.
6. `value` rules:
- If the value is a percentage, include `%` (for example `12%`, `12.5%`).
- If not a percentage, output only canonical numeric text: `Num`, `Num.Num`, `(Num)`, or `(Num.Num)`.
- For non-`%` values remove commas, spaces, currency signs/codes, and use parentheses for negatives (never leading `-`).
7. Use JSON null literal for missing optional values (never "null" string).
8. Do not include any keys not listed above.
Extraction rules:
1. Extract all visible numeric/table facts, including negatives in parentheses and totals.
2. If source is a dash placeholder (`-`, `鈥擿, `鈥揱), still extract the fact but set `value` to empty string `""`.
3. For non-`%` values, normalize `value` to canonical numeric shape only (`Num`, `Num.Num`, `(Num)`, `(Num.Num)`).
4. For `%` values, keep `%` in `value`.
6. `comment`: textual qualifier tied to the specific fact (for example `*without debt insurance`), else null.
7. `is_note`: true when the fact is itself inside a note section, else false.
8. `note`: use when this fact belongs to data presented inside a note section; else null.
9. `note_reference`: use when this fact points/references another note; else "".
10. `currency`: infer from page/header context (for example "砖拽诇讬诐 讞讚砖讬诐" -> "ILS"), else null.
11. `scale`: 1 unless page/header indicates thousands or millions.
12. `value_type`: "amount" unless the fact is a percentage ("%").
13. `date`: output only `YYYY` or `YYYY-MM-DD`. Convert dotted dates (`D.M.YYYY` / `DD.MM.YYYY`) to `YYYY-MM-DD` using day-first parsing.
14. `meta.type`: use "profits" for "讚讜讞讜转 注诇 讛驻注讬诇讜讬讜转"; otherwise choose the best enum value.
15. No duplicate facts. Order `facts` top-to-bottom; within each row use right-to-left for Hebrew/RTL pages and left-to-right for English/LTR pages (fallback RTL if uncertain).
16. Output UTF-8 Hebrew directly (do not escape to unicode sequences).
Path hierarchy rule:
1. Build `path` with horizontal-axis hierarchy first (row-side structure: group -> subgroup -> line item).
2. Then append vertical-axis hierarchy only when it adds business semantics not already represented by dedicated fields.
3. Do not encode period/currency/scale/value-format in `path` when already represented by `date`/`currency`/`scale`/`value_type`.
4. Keep labels exactly as shown. Do not invent levels. | {"meta":{"entity_name":"讗讜专谞讬诐 - 讛诪讻诇诇讛 讛讗拽讚诪讬转 诇讞讬谞讜讱, 讛转谞讜注讛 讛拽讬讘讜爪讬转","page_num":"2","type":"declaration","title":"讚讜讞 专讜讗讛 讛讞砖讘讜谉 讛诪讘拽专 诇讞讘专讬 讛注诪讜转讛"},"facts":[]} | |
You are a precise financial statement extraction system. Return only valid JSON that matches the required schema. | You are extracting financial-statement annotations from a single page image into the exact Pydantic schema `PageExtraction`.
Return ONLY valid JSON.
Do NOT return markdown, code fences, comments, prose, or extra keys.
Top-level schema (exact keys only):
{
"meta": {
"entity_name": "<string or null>",
"page_num": "<string or null>",
"type": "balance_sheet|income_statement|cash_flow|notes|contents_page|title|declaration|profits|other",
"title": "<string or null>"
},
"facts": [
{
"value": "<string>",
"comment": "<string or null>",
"is_note": <true|false>,
"note": "<string or null>",
"note_reference": "<string>",
"date": "<string or null>",
"path": ["<string>", "..."],
"currency": "ILS|USD|EUR|GBP|null",
"scale": 1|1000|1000000|null,
"value_type": "amount|%|null"
}
]
}
Type/validation rules (must match schema):
1. `meta` and `facts` are required.
2. `note_reference` is required string. Use "" when missing.
3. `path` is required list of strings (use [] when unknown, never null).
4. `is_note` must be boolean (never null and never "true"/"false" strings).
5. `date` must be `YYYY` or `YYYY-MM-DD` when provided.
6. `value` rules:
- If the value is a percentage, include `%` (for example `12%`, `12.5%`).
- If not a percentage, output only canonical numeric text: `Num`, `Num.Num`, `(Num)`, or `(Num.Num)`.
- For non-`%` values remove commas, spaces, currency signs/codes, and use parentheses for negatives (never leading `-`).
7. Use JSON null literal for missing optional values (never "null" string).
8. Do not include any keys not listed above.
Extraction rules:
1. Extract all visible numeric/table facts, including negatives in parentheses and totals.
2. If source is a dash placeholder (`-`, `鈥擿, `鈥揱), still extract the fact but set `value` to empty string `""`.
3. For non-`%` values, normalize `value` to canonical numeric shape only (`Num`, `Num.Num`, `(Num)`, `(Num.Num)`).
4. For `%` values, keep `%` in `value`.
6. `comment`: textual qualifier tied to the specific fact (for example `*without debt insurance`), else null.
7. `is_note`: true when the fact is itself inside a note section, else false.
8. `note`: use when this fact belongs to data presented inside a note section; else null.
9. `note_reference`: use when this fact points/references another note; else "".
10. `currency`: infer from page/header context (for example "砖拽诇讬诐 讞讚砖讬诐" -> "ILS"), else null.
11. `scale`: 1 unless page/header indicates thousands or millions.
12. `value_type`: "amount" unless the fact is a percentage ("%").
13. `date`: output only `YYYY` or `YYYY-MM-DD`. Convert dotted dates (`D.M.YYYY` / `DD.MM.YYYY`) to `YYYY-MM-DD` using day-first parsing.
14. `meta.type`: use "profits" for "讚讜讞讜转 注诇 讛驻注讬诇讜讬讜转"; otherwise choose the best enum value.
15. No duplicate facts. Order `facts` top-to-bottom; within each row use right-to-left for Hebrew/RTL pages and left-to-right for English/LTR pages (fallback RTL if uncertain).
16. Output UTF-8 Hebrew directly (do not escape to unicode sequences).
Path hierarchy rule:
1. Build `path` with horizontal-axis hierarchy first (row-side structure: group -> subgroup -> line item).
2. Then append vertical-axis hierarchy only when it adds business semantics not already represented by dedicated fields.
3. Do not encode period/currency/scale/value-format in `path` when already represented by `date`/`currency`/`scale`/`value_type`.
4. Keep labels exactly as shown. Do not invent levels. | {"meta":{"entity_name":"讗讜专谞讬诐 - 讛诪讻诇诇讛 讛讗拽讚诪讬转 诇讞讬谞讜讱, 讛转谞讜注讛 讛拽讬讘讜爪讬转","page_num":"3","type":"balance_sheet","title":"讚讜讞讜转 注诇 讛诪爪讘 讛讻住驻讬"},"facts":[{"value":"10255","comment":null,"is_note":false,"note":null,"note_reference":"4","date":"2021-09-30","path":["谞讻住讬诐 砖讜讟驻讬诐","诪讝讜诪谞讬诐 讜砖讜讜讬 诪讝讜诪谞讬诐"],"currency":"ILS","scale":1000,"value_type":"amount"},{"value":"4851","comment":null,"is_note":false,"note":null,"note_reference":"4","date":"2020-09-30","path":["谞讻住讬诐 砖讜讟驻讬诐","诪讝讜诪谞讬诐 讜砖讜讜讬 诪讝讜诪谞讬诐"],"currency":"ILS","scale":1000,"value_type":"amount"},{"value":"3283","comment":null,"is_note":false,"note":null,"note_reference":"5","date":"2021-09-30","path":["谞讻住讬诐 砖讜讟驻讬诐","谞讬讬专讜转 注专讱 住讞讬专讬诐 诇讝诪谉 拽爪专"],"currency":"ILS","scale":1000,"value_type":"amount"},{"value":"5240","comment":null,"is_note":false,"note":null,"note_reference":"5","date":"2020-09-30","path":["谞讻住讬诐 砖讜讟驻讬诐","谞讬讬专讜转 注专讱 住讞讬专讬诐 诇讝诪谉 拽爪专"],"currency":"ILS","scale":1000,"value_type":"amount"},{"value":"963","comment":null,"is_note":false,"note":null,"note_reference":"","date":"2021-09-30","path":["谞讻住讬诐 砖讜讟驻讬诐","诇拽讜讞讜转"],"currency":"ILS","scale":1000,"value_type":"amount"},{"value":"1361","comment":null,"is_note":false,"note":null,"note_reference":"","date":"2020-09-30","path":["谞讻住讬诐 砖讜讟驻讬诐","诇拽讜讞讜转"],"currency":"ILS","scale":1000,"value_type":"amount"},{"value":"12164","comment":null,"is_note":false,"note":null,"note_reference":"6","date":"2021-09-30","path":["谞讻住讬诐 砖讜讟驻讬诐","讞讬讬讘讬诐 讜讬转专讜转 讞讜讘讛"],"currency":"ILS","scale":1000,"value_type":"amount"},{"value":"11337","comment":null,"is_note":false,"note":null,"note_reference":"6","date":"2020-09-30","path":["谞讻住讬诐 砖讜讟驻讬诐","讞讬讬讘讬诐 讜讬转专讜转 讞讜讘讛"],"currency":"ILS","scale":1000,"value_type":"amount"},{"value":"26665","comment":null,"is_note":false,"note":null,"note_reference":"","date":"2021-09-30","path":["谞讻住讬诐 砖讜讟驻讬诐"],"currency":"ILS","scale":1000,"value_type":"amount"},{"value":"22789","comment":null,"is_note":false,"note":null,"note_reference":"","date":"2020-09-30","path":["谞讻住讬诐 砖讜讟驻讬诐"],"currency":"ILS","scale":1000,"value_type":"amount"},{"value":"2296","comment":null,"is_note":false,"note":null,"note_reference":"","date":"2021-09-30","path":["谞讻住讬诐 诇讗 砖讜讟驻讬诐","诪讝讜诪谞讬诐 讛诪讬讜注讚讬诐 诇讻讬住讜讬 拽专谞讜转"],"currency":"ILS","scale":1000,"value_type":"amount"},{"value":"2123","comment":null,"is_note":false,"note":null,"note_reference":"","date":"2020-09-30","path":["谞讻住讬诐 诇讗 砖讜讟驻讬诐","诪讝讜诪谞讬诐 讛诪讬讜注讚讬诐 诇讻讬住讜讬 拽专谞讜转"],"currency":"ILS","scale":1000,"value_type":"amount"},{"value":"23878","comment":null,"is_note":false,"note":null,"note_reference":"12,5讗'","date":"2021-09-30","path":["谞讻住讬诐 诇讗 砖讜讟驻讬诐","谞讬讬专讜转 注专讱 诇讝诪谉 讗专讜讱 诪讬讜注讚讬诐"],"currency":"ILS","scale":1000,"value_type":"amount"},{"value":"20340","comment":null,"is_note":false,"note":null,"note_reference":"12,5讗'","date":"2020-09-30","path":["谞讻住讬诐 诇讗 砖讜讟驻讬诐","谞讬讬专讜转 注专讱 诇讝诪谉 讗专讜讱 诪讬讜注讚讬诐"],"currency":"ILS","scale":1000,"value_type":"amount"},{"value":"3104","comment":null,"is_note":false,"note":null,"note_reference":"13讗'","date":"2021-09-30","path":["谞讻住讬诐 诇讗 砖讜讟驻讬诐","讛讜爪讗讜转 诪专讗砖"],"currency":"ILS","scale":1000,"value_type":"amount"},{"value":"3252","comment":null,"is_note":false,"note":null,"note_reference":"13讗'","date":"2020-09-30","path":["谞讻住讬诐 诇讗 砖讜讟驻讬诐","讛讜爪讗讜转 诪专讗砖"],"currency":"ILS","scale":1000,"value_type":"amount"},{"value":"42289","comment":null,"is_note":false,"note":null,"note_reference":"7","date":"2021-09-30","path":["谞讻住讬诐 诇讗 砖讜讟驻讬诐","专讻讜砖 拽讘讜注, 谞讟讜"],"currency":"ILS","scale":1000,"value_type":"amount"},{"value":"44066","comment":null,"is_note":false,"note":null,"note_reference":"7","date":"2020-09-30","path":["谞讻住讬诐 诇讗 砖讜讟驻讬诐","专讻讜砖 拽讘讜注, 谞讟讜"],"currency":"ILS","scale":1000,"value_type":"amount"},{"value":"99","comment":null,"is_note":false,"note":null,"note_reference":"8","date":"2021-09-30","path":["谞讻住讬诐 诇讗 砖讜讟驻讬诐","谞讻住讬诐 讘诇转讬 诪讜讞砖讬讬诐, 谞讟讜"],"currency":"ILS","scale":1000,"value_type":"amount"},{"value":"75","comment":null,"is_note":false,"note":null,"note_reference":"8","date":"2020-09-30","path":["谞讻住讬诐 诇讗 砖讜讟驻讬诐","谞讻住讬诐 讘诇转讬 诪讜讞砖讬讬诐, 谞讟讜"],"currency":"ILS","scale":1000,"value_type":"amount"},{"value":"71666","comment":null,"is_note":false,"note":null,"note_reference":"","date":"2021-09-30","path":["谞讻住讬诐 诇讗 砖讜讟驻讬诐","住讛状讻"],"currency":"ILS","scale":1000,"value_type":"amount"},{"value":"69856","comment":null,"is_note":false,"note":null,"note_reference":"","date":"2020-09-30","path":["谞讻住讬诐 诇讗 砖讜讟驻讬诐","住讛状讻"],"currency":"ILS","scale":1000,"value_type":"amount"},{"value":"98331","comment":null,"is_note":false,"note":null,"note_reference":"","date":"2021-09-30","path":["谞讻住讬诐","住讛状讻"],"currency":"ILS","scale":1000,"value_type":"amount"},{"value":"92645","comment":null,"is_note":false,"note":null,"note_reference":"","date":"2020-09-30","path":["谞讻住讬诐","住讛状讻"],"currency":"ILS","scale":1000,"value_type":"amount"}]} | |
You are a precise financial statement extraction system. Return only valid JSON that matches the required schema. | You are extracting financial-statement annotations from a single page image into the exact Pydantic schema `PageExtraction`.
Return ONLY valid JSON.
Do NOT return markdown, code fences, comments, prose, or extra keys.
Top-level schema (exact keys only):
{
"meta": {
"entity_name": "<string or null>",
"page_num": "<string or null>",
"type": "balance_sheet|income_statement|cash_flow|notes|contents_page|title|declaration|profits|other",
"title": "<string or null>"
},
"facts": [
{
"value": "<string>",
"comment": "<string or null>",
"is_note": <true|false>,
"note": "<string or null>",
"note_reference": "<string>",
"date": "<string or null>",
"path": ["<string>", "..."],
"currency": "ILS|USD|EUR|GBP|null",
"scale": 1|1000|1000000|null,
"value_type": "amount|%|null"
}
]
}
Type/validation rules (must match schema):
1. `meta` and `facts` are required.
2. `note_reference` is required string. Use "" when missing.
3. `path` is required list of strings (use [] when unknown, never null).
4. `is_note` must be boolean (never null and never "true"/"false" strings).
5. `date` must be `YYYY` or `YYYY-MM-DD` when provided.
6. `value` rules:
- If the value is a percentage, include `%` (for example `12%`, `12.5%`).
- If not a percentage, output only canonical numeric text: `Num`, `Num.Num`, `(Num)`, or `(Num.Num)`.
- For non-`%` values remove commas, spaces, currency signs/codes, and use parentheses for negatives (never leading `-`).
7. Use JSON null literal for missing optional values (never "null" string).
8. Do not include any keys not listed above.
Extraction rules:
1. Extract all visible numeric/table facts, including negatives in parentheses and totals.
2. If source is a dash placeholder (`-`, `鈥擿, `鈥揱), still extract the fact but set `value` to empty string `""`.
3. For non-`%` values, normalize `value` to canonical numeric shape only (`Num`, `Num.Num`, `(Num)`, `(Num.Num)`).
4. For `%` values, keep `%` in `value`.
6. `comment`: textual qualifier tied to the specific fact (for example `*without debt insurance`), else null.
7. `is_note`: true when the fact is itself inside a note section, else false.
8. `note`: use when this fact belongs to data presented inside a note section; else null.
9. `note_reference`: use when this fact points/references another note; else "".
10. `currency`: infer from page/header context (for example "砖拽诇讬诐 讞讚砖讬诐" -> "ILS"), else null.
11. `scale`: 1 unless page/header indicates thousands or millions.
12. `value_type`: "amount" unless the fact is a percentage ("%").
13. `date`: output only `YYYY` or `YYYY-MM-DD`. Convert dotted dates (`D.M.YYYY` / `DD.MM.YYYY`) to `YYYY-MM-DD` using day-first parsing.
14. `meta.type`: use "profits" for "讚讜讞讜转 注诇 讛驻注讬诇讜讬讜转"; otherwise choose the best enum value.
15. No duplicate facts. Order `facts` top-to-bottom; within each row use right-to-left for Hebrew/RTL pages and left-to-right for English/LTR pages (fallback RTL if uncertain).
16. Output UTF-8 Hebrew directly (do not escape to unicode sequences).
Path hierarchy rule:
1. Build `path` with horizontal-axis hierarchy first (row-side structure: group -> subgroup -> line item).
2. Then append vertical-axis hierarchy only when it adds business semantics not already represented by dedicated fields.
3. Do not encode period/currency/scale/value-format in `path` when already represented by `date`/`currency`/`scale`/`value_type`.
4. Keep labels exactly as shown. Do not invent levels. | {"meta":{"entity_name":"讗讜专谞讬诐 - 讛诪讻诇诇讛 讛讗拽讚诪讬转 诇讞讬谞讜讱, 讛转谞讜注讛 讛拽讬讘讜爪讬转","page_num":"4","type":"balance_sheet","title":"讚讜讞讜转 注诇 讛诪爪讘 讛讻住驻讬"},"facts":[{"value":"8330","comment":null,"is_note":false,"note":null,"note_reference":"","date":"2021-09-30","path":["讛转讞讬讬讘讜讬讜转 砖讜讟驻讜转","诪拽讚诪讜转 注诇 讞砖讘讜谉 砖讻专 诇讬诪讜讚"],"currency":"ILS","scale":1000,"value_type":"amount"},{"value":"6077","comment":null,"is_note":false,"note":null,"note_reference":"","date":"2020-09-30","path":["讛转讞讬讬讘讜讬讜转 砖讜讟驻讜转","诪拽讚诪讜转 注诇 讞砖讘讜谉 砖讻专 诇讬诪讜讚"],"currency":"ILS","scale":1000,"value_type":"amount"},{"value":"3671","comment":null,"is_note":false,"note":null,"note_reference":"9","date":"2021-09-30","path":["讛转讞讬讬讘讜讬讜转 砖讜讟驻讜转","住驻拽讬诐"],"currency":"ILS","scale":1000,"value_type":"amount"},{"value":"3201","comment":null,"is_note":false,"note":null,"note_reference":"9","date":"2020-09-30","path":["讛转讞讬讬讘讜讬讜转 砖讜讟驻讜转","住驻拽讬诐"],"currency":"ILS","scale":1000,"value_type":"amount"},{"value":"12407","comment":null,"is_note":false,"note":null,"note_reference":"10","date":"2021-09-30","path":["讛转讞讬讬讘讜讬讜转 砖讜讟驻讜转","讛转讞讬讬讘讜讬讜转 诇注讜讘讚讬诐 讜讛转讞讬讬讘讜讬讜转 讗讞专讜转 讘讙讬谉 砖讻专 讜诪砖讻讜专转"],"currency":"ILS","scale":1000,"value_type":"amount"},{"value":"11263","comment":null,"is_note":false,"note":null,"note_reference":"10","date":"2020-09-30","path":["讛转讞讬讬讘讜讬讜转 砖讜讟驻讜转","讛转讞讬讬讘讜讬讜转 诇注讜讘讚讬诐 讜讛转讞讬讬讘讜讬讜转 讗讞专讜转 讘讙讬谉 砖讻专 讜诪砖讻讜专转"],"currency":"ILS","scale":1000,"value_type":"amount"},{"value":"5179","comment":null,"is_note":false,"note":null,"note_reference":"11","date":"2021-09-30","path":["讛转讞讬讬讘讜讬讜转 砖讜讟驻讜转","讝讻讗讬诐 讜讬转专讜转 讝讻讜转"],"currency":"ILS","scale":1000,"value_type":"amount"},{"value":"7080","comment":null,"is_note":false,"note":null,"note_reference":"11","date":"2020-09-30","path":["讛转讞讬讬讘讜讬讜转 砖讜讟驻讜转","讝讻讗讬诐 讜讬转专讜转 讝讻讜转"],"currency":"ILS","scale":1000,"value_type":"amount"},{"value":"29587","comment":null,"is_note":false,"note":null,"note_reference":"","date":"2021-09-30","path":["讛转讞讬讬讘讜讬讜转 砖讜讟驻讜转","住讱 讛讻诇"],"currency":"ILS","scale":1000,"value_type":"amount"},{"value":"27621","comment":null,"is_note":false,"note":null,"note_reference":"","date":"2020-09-30","path":["讛转讞讬讬讘讜讬讜转 砖讜讟驻讜转","住讱 讛讻诇"],"currency":"ILS","scale":1000,"value_type":"amount"},{"value":"118","comment":null,"is_note":false,"note":null,"note_reference":"13讗'","date":"2021-09-30","path":["讛转讞讬讬讘讜讬讜转 诇讗 砖讜讟驻讜转","讝讻讗讬诐 诇讝诪谉 讗专讜讱"],"currency":"ILS","scale":1000,"value_type":"amount"},{"value":"318","comment":null,"is_note":false,"note":null,"note_reference":"13讗'","date":"2020-09-30","path":["讛转讞讬讬讘讜讬讜转 诇讗 砖讜讟驻讜转","讝讻讗讬诐 诇讝诪谉 讗专讜讱"],"currency":"ILS","scale":1000,"value_type":"amount"},{"value":"18093","comment":null,"is_note":false,"note":null,"note_reference":"12","date":"2021-09-30","path":["讛转讞讬讬讘讜讬讜转 诇讗 砖讜讟驻讜转","讛转讞讬讬讘讜讬讜转 讘砖诇 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You are a precise financial statement extraction system. Return only valid JSON that matches the required schema. | You are extracting financial-statement annotations from a single page image into the exact Pydantic schema `PageExtraction`.
Return ONLY valid JSON.
Do NOT return markdown, code fences, comments, prose, or extra keys.
Top-level schema (exact keys only):
{
"meta": {
"entity_name": "<string or null>",
"page_num": "<string or null>",
"type": "balance_sheet|income_statement|cash_flow|notes|contents_page|title|declaration|profits|other",
"title": "<string or null>"
},
"facts": [
{
"value": "<string>",
"comment": "<string or null>",
"is_note": <true|false>,
"note": "<string or null>",
"note_reference": "<string>",
"date": "<string or null>",
"path": ["<string>", "..."],
"currency": "ILS|USD|EUR|GBP|null",
"scale": 1|1000|1000000|null,
"value_type": "amount|%|null"
}
]
}
Type/validation rules (must match schema):
1. `meta` and `facts` are required.
2. `note_reference` is required string. Use "" when missing.
3. `path` is required list of strings (use [] when unknown, never null).
4. `is_note` must be boolean (never null and never "true"/"false" strings).
5. `date` must be `YYYY` or `YYYY-MM-DD` when provided.
6. `value` rules:
- If the value is a percentage, include `%` (for example `12%`, `12.5%`).
- If not a percentage, output only canonical numeric text: `Num`, `Num.Num`, `(Num)`, or `(Num.Num)`.
- For non-`%` values remove commas, spaces, currency signs/codes, and use parentheses for negatives (never leading `-`).
7. Use JSON null literal for missing optional values (never "null" string).
8. Do not include any keys not listed above.
Extraction rules:
1. Extract all visible numeric/table facts, including negatives in parentheses and totals.
2. If source is a dash placeholder (`-`, `鈥擿, `鈥揱), still extract the fact but set `value` to empty string `""`.
3. For non-`%` values, normalize `value` to canonical numeric shape only (`Num`, `Num.Num`, `(Num)`, `(Num.Num)`).
4. For `%` values, keep `%` in `value`.
6. `comment`: textual qualifier tied to the specific fact (for example `*without debt insurance`), else null.
7. `is_note`: true when the fact is itself inside a note section, else false.
8. `note`: use when this fact belongs to data presented inside a note section; else null.
9. `note_reference`: use when this fact points/references another note; else "".
10. `currency`: infer from page/header context (for example "砖拽诇讬诐 讞讚砖讬诐" -> "ILS"), else null.
11. `scale`: 1 unless page/header indicates thousands or millions.
12. `value_type`: "amount" unless the fact is a percentage ("%").
13. `date`: output only `YYYY` or `YYYY-MM-DD`. Convert dotted dates (`D.M.YYYY` / `DD.MM.YYYY`) to `YYYY-MM-DD` using day-first parsing.
14. `meta.type`: use "profits" for "讚讜讞讜转 注诇 讛驻注讬诇讜讬讜转"; otherwise choose the best enum value.
15. No duplicate facts. Order `facts` top-to-bottom; within each row use right-to-left for Hebrew/RTL pages and left-to-right for English/LTR pages (fallback RTL if uncertain).
16. Output UTF-8 Hebrew directly (do not escape to unicode sequences).
Path hierarchy rule:
1. Build `path` with horizontal-axis hierarchy first (row-side structure: group -> subgroup -> line item).
2. Then append vertical-axis hierarchy only when it adds business semantics not already represented by dedicated fields.
3. Do not encode period/currency/scale/value-format in `path` when already represented by `date`/`currency`/`scale`/`value_type`.
4. Keep labels exactly as shown. Do not invent levels. | {"meta":{"entity_name":"讗讜专谞讬诐 - 讛诪讻诇诇讛 讛讗拽讚诪讬转 诇讞讬谞讜讱, 讛转谞讜注讛 讛拽讬讘讜爪讬转","page_num":"5","type":"profits","title":"讚讜讞讜转 注诇 讛驻注讬诇讜讬讜转"},"facts":[{"value":"47121","comment":null,"is_note":false,"note":null,"note_reference":"15","date":"2021-09-30","path":["诪讞讝讜专 讛驻注讬诇讜讬讜转","讛讻谞住讜转 诪住讟讜讚谞讟讬诐"],"currency":"ILS","scale":1000,"value_type":"amount"},{"value":"47463","comment":null,"is_note":false,"note":null,"note_reference":"15","date":"2020-09-30","path":["诪讞讝讜专 讛驻注讬诇讜讬讜转","讛讻谞住讜转 诪住讟讜讚谞讟讬诐"],"currency":"ILS","scale":1000,"value_type":"amount"},{"value":"75887","comment":"讻讜诇诇 讛讻谞住讜转 (讛讜爪讗讜转) 讛转拽讘诇讜转 (讛谞讬转谞讜转) 讬砖讬专讜转 诇诪讜专讬诐 诪诪砖专讚 讛讞讬谞讜讱.","is_note":false,"note":null,"note_reference":"16","date":"2021-09-30","path":["诪讞讝讜专 讛驻注讬诇讜讬讜转","讛拽爪讘讜转 诪诪砖专讚 讛讞讬谞讜讱 诇砖讬诪讜砖 诇驻注讬诇讜转 讛讜专讗讛 (讗)"],"currency":"ILS","scale":1000,"value_type":"amount"},{"value":"76814","comment":"讻讜诇诇 讛讻谞住讜转 (讛讜爪讗讜转) 讛转拽讘诇讜转 (讛谞讬转谞讜转) 讬砖讬专讜转 诇诪讜专讬诐 诪诪砖专讚 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You are a precise financial statement extraction system. Return only valid JSON that matches the required schema. | You are extracting financial-statement annotations from a single page image into the exact Pydantic schema `PageExtraction`.
Return ONLY valid JSON.
Do NOT return markdown, code fences, comments, prose, or extra keys.
Top-level schema (exact keys only):
{
"meta": {
"entity_name": "<string or null>",
"page_num": "<string or null>",
"type": "balance_sheet|income_statement|cash_flow|notes|contents_page|title|declaration|profits|other",
"title": "<string or null>"
},
"facts": [
{
"value": "<string>",
"comment": "<string or null>",
"is_note": <true|false>,
"note": "<string or null>",
"note_reference": "<string>",
"date": "<string or null>",
"path": ["<string>", "..."],
"currency": "ILS|USD|EUR|GBP|null",
"scale": 1|1000|1000000|null,
"value_type": "amount|%|null"
}
]
}
Type/validation rules (must match schema):
1. `meta` and `facts` are required.
2. `note_reference` is required string. Use "" when missing.
3. `path` is required list of strings (use [] when unknown, never null).
4. `is_note` must be boolean (never null and never "true"/"false" strings).
5. `date` must be `YYYY` or `YYYY-MM-DD` when provided.
6. `value` rules:
- If the value is a percentage, include `%` (for example `12%`, `12.5%`).
- If not a percentage, output only canonical numeric text: `Num`, `Num.Num`, `(Num)`, or `(Num.Num)`.
- For non-`%` values remove commas, spaces, currency signs/codes, and use parentheses for negatives (never leading `-`).
7. Use JSON null literal for missing optional values (never "null" string).
8. Do not include any keys not listed above.
Extraction rules:
1. Extract all visible numeric/table facts, including negatives in parentheses and totals.
2. If source is a dash placeholder (`-`, `鈥擿, `鈥揱), still extract the fact but set `value` to empty string `""`.
3. For non-`%` values, normalize `value` to canonical numeric shape only (`Num`, `Num.Num`, `(Num)`, `(Num.Num)`).
4. For `%` values, keep `%` in `value`.
6. `comment`: textual qualifier tied to the specific fact (for example `*without debt insurance`), else null.
7. `is_note`: true when the fact is itself inside a note section, else false.
8. `note`: use when this fact belongs to data presented inside a note section; else null.
9. `note_reference`: use when this fact points/references another note; else "".
10. `currency`: infer from page/header context (for example "砖拽诇讬诐 讞讚砖讬诐" -> "ILS"), else null.
11. `scale`: 1 unless page/header indicates thousands or millions.
12. `value_type`: "amount" unless the fact is a percentage ("%").
13. `date`: output only `YYYY` or `YYYY-MM-DD`. Convert dotted dates (`D.M.YYYY` / `DD.MM.YYYY`) to `YYYY-MM-DD` using day-first parsing.
14. `meta.type`: use "profits" for "讚讜讞讜转 注诇 讛驻注讬诇讜讬讜转"; otherwise choose the best enum value.
15. No duplicate facts. Order `facts` top-to-bottom; within each row use right-to-left for Hebrew/RTL pages and left-to-right for English/LTR pages (fallback RTL if uncertain).
16. Output UTF-8 Hebrew directly (do not escape to unicode sequences).
Path hierarchy rule:
1. Build `path` with horizontal-axis hierarchy first (row-side structure: group -> subgroup -> line item).
2. Then append vertical-axis hierarchy only when it adds business semantics not already represented by dedicated fields.
3. Do not encode period/currency/scale/value-format in `path` when already represented by `date`/`currency`/`scale`/`value_type`.
4. Keep labels exactly as shown. Do not invent levels. | {"meta":{"entity_name":"讗讜专谞讬诐 - 讛诪讻诇诇讛 讛讗拽讚诪讬转 诇讞讬谞讜讱, 讛转谞讜注讛 讛拽讬讘讜爪讬转","page_num":"6","type":"profits","title":"讚讜讞 注诇 讛砖讬谞讜讬讬诐 讘谞讻住讬诐 谞讟讜"},"facts":[{"value":"(4887)","comment":null,"is_note":false,"note":null,"note_reference":"","date":"2020-10-01","path":["讬转专讛 诇讬讜诐 1 讘讗讜拽讟讜讘专, 2020","谞讻住讬诐 谞讟讜 砖诇讗 拽讬讬诪转 诇讙讘讬讛诐 讛讙讘诇讛 (讙讬专注讜谉 诪爪讟讘专 诪驻注讬诇讜讬讜转)","诇砖诪讜砖 诇驻注讬诇讜讬讜转"],"currency":"ILS","scale":1000,"value_type":"amount"},{"value":"44141","comment":null,"is_note":false,"note":null,"note_reference":"","date":"2020-10-01","path":["讬转专讛 诇讬讜诐 1 讘讗讜拽讟讜讘专, 2020","谞讻住讬诐 谞讟讜 砖诇讗 拽讬讬诪转 诇讙讘讬讛诐 讛讙讘诇讛 (讙讬专注讜谉 诪爪讟讘专 诪驻注讬诇讜讬讜转)","砖砖讬诪砖讜 诇专讻讜砖 拽讘讜注 讜谞讻住讬诐 讘诇转讬 诪讜讞砖讬讬诐"],"currency":"ILS","scale":1000,"value_type":"amount"},{"value":"5164","comment":null,"is_note":false,"note":null,"note_reference":"","date":"2020-10-01","path":["讬转专讛 诇讬讜诐 1 讘讗讜拽讟讜讘专, 2020","谞讻住讬诐 谞讟讜 砖拽讬讬诪转 诇讙讘讬讛诐 讛讙讘诇讛","讘注诇转 讗讜驻讬 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You are a precise financial statement extraction system. Return only valid JSON that matches the required schema. | You are extracting financial-statement annotations from a single page image into the exact Pydantic schema `PageExtraction`.
Return ONLY valid JSON.
Do NOT return markdown, code fences, comments, prose, or extra keys.
Top-level schema (exact keys only):
{
"meta": {
"entity_name": "<string or null>",
"page_num": "<string or null>",
"type": "balance_sheet|income_statement|cash_flow|notes|contents_page|title|declaration|profits|other",
"title": "<string or null>"
},
"facts": [
{
"value": "<string>",
"comment": "<string or null>",
"is_note": <true|false>,
"note": "<string or null>",
"note_reference": "<string>",
"date": "<string or null>",
"path": ["<string>", "..."],
"currency": "ILS|USD|EUR|GBP|null",
"scale": 1|1000|1000000|null,
"value_type": "amount|%|null"
}
]
}
Type/validation rules (must match schema):
1. `meta` and `facts` are required.
2. `note_reference` is required string. Use "" when missing.
3. `path` is required list of strings (use [] when unknown, never null).
4. `is_note` must be boolean (never null and never "true"/"false" strings).
5. `date` must be `YYYY` or `YYYY-MM-DD` when provided.
6. `value` rules:
- If the value is a percentage, include `%` (for example `12%`, `12.5%`).
- If not a percentage, output only canonical numeric text: `Num`, `Num.Num`, `(Num)`, or `(Num.Num)`.
- For non-`%` values remove commas, spaces, currency signs/codes, and use parentheses for negatives (never leading `-`).
7. Use JSON null literal for missing optional values (never "null" string).
8. Do not include any keys not listed above.
Extraction rules:
1. Extract all visible numeric/table facts, including negatives in parentheses and totals.
2. If source is a dash placeholder (`-`, `鈥擿, `鈥揱), still extract the fact but set `value` to empty string `""`.
3. For non-`%` values, normalize `value` to canonical numeric shape only (`Num`, `Num.Num`, `(Num)`, `(Num.Num)`).
4. For `%` values, keep `%` in `value`.
6. `comment`: textual qualifier tied to the specific fact (for example `*without debt insurance`), else null.
7. `is_note`: true when the fact is itself inside a note section, else false.
8. `note`: use when this fact belongs to data presented inside a note section; else null.
9. `note_reference`: use when this fact points/references another note; else "".
10. `currency`: infer from page/header context (for example "砖拽诇讬诐 讞讚砖讬诐" -> "ILS"), else null.
11. `scale`: 1 unless page/header indicates thousands or millions.
12. `value_type`: "amount" unless the fact is a percentage ("%").
13. `date`: output only `YYYY` or `YYYY-MM-DD`. Convert dotted dates (`D.M.YYYY` / `DD.MM.YYYY`) to `YYYY-MM-DD` using day-first parsing.
14. `meta.type`: use "profits" for "讚讜讞讜转 注诇 讛驻注讬诇讜讬讜转"; otherwise choose the best enum value.
15. No duplicate facts. Order `facts` top-to-bottom; within each row use right-to-left for Hebrew/RTL pages and left-to-right for English/LTR pages (fallback RTL if uncertain).
16. Output UTF-8 Hebrew directly (do not escape to unicode sequences).
Path hierarchy rule:
1. Build `path` with horizontal-axis hierarchy first (row-side structure: group -> subgroup -> line item).
2. Then append vertical-axis hierarchy only when it adds business semantics not already represented by dedicated fields.
3. Do not encode period/currency/scale/value-format in `path` when already represented by `date`/`currency`/`scale`/`value_type`.
4. Keep labels exactly as shown. Do not invent levels. | {"meta":{"entity_name":"讗讜专谞讬诐 - 讛诪讻诇诇讛 讛讗拽讚诪讬转 诇讞讬谞讜讱, 讛转谞讜注讛 讛拽讬讘讜爪讬转","page_num":"7","type":"profits","title":"讚讜讞 注诇 讛砖讬谞讜讬讬诐 讘谞讻住讬诐 谞讟讜"},"facts":[{"value":"(10152)","comment":null,"is_note":false,"note":null,"note_reference":"","date":"2019-10-01","path":["讬转专讛 诇讬讜诐 1 讘讗讜拽讟讜讘专, 2019","谞讻住讬诐 谞讟讜 砖诇讗 拽讬讬诪转 诇讙讘讬讛诐 讛讙讘诇讛 (讙讬专注讜谉 诪爪讟讘专 诪驻注讬诇讜讬讜转)","诇砖讬诪讜砖 诇驻注讬诇讜讬讜转"],"currency":"ILS","scale":1000,"value_type":"amount"},{"value":"45866","comment":null,"is_note":false,"note":null,"note_reference":"","date":"2019-10-01","path":["讬转专讛 诇讬讜诐 1 讘讗讜拽讟讜讘专, 2019","谞讻住讬诐 谞讟讜 砖诇讗 拽讬讬诪转 诇讙讘讬讛诐 讛讙讘诇讛 (讙讬专注讜谉 诪爪讟讘专 诪驻注讬诇讜讬讜转)","砖砖讬诪砖讜 诇专讻讬砖转 专讻讜砖 拽讘讜注 讜谞讻住讬诐 讘诇转讬 诪讜讞砖讬讬诐"],"currency":"ILS","scale":1000,"value_type":"amount"},{"value":"5381","comment":null,"is_note":false,"note":null,"note_reference":"","date":"2019-10-01","path":["讬转专讛 诇讬讜诐 1 讘讗讜拽讟讜讘专, 2019","谞讻住讬诐 谞讟讜 砖拽讬讬诪转 诇讙讘讬讛诐 讛讙讘诇讛","讘注诇转 讗讜驻讬 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You are a precise financial statement extraction system. Return only valid JSON that matches the required schema. | You are extracting financial-statement annotations from a single page image into the exact Pydantic schema `PageExtraction`.
Return ONLY valid JSON.
Do NOT return markdown, code fences, comments, prose, or extra keys.
Top-level schema (exact keys only):
{
"meta": {
"entity_name": "<string or null>",
"page_num": "<string or null>",
"type": "balance_sheet|income_statement|cash_flow|notes|contents_page|title|declaration|profits|other",
"title": "<string or null>"
},
"facts": [
{
"value": "<string>",
"comment": "<string or null>",
"is_note": <true|false>,
"note": "<string or null>",
"note_reference": "<string>",
"date": "<string or null>",
"path": ["<string>", "..."],
"currency": "ILS|USD|EUR|GBP|null",
"scale": 1|1000|1000000|null,
"value_type": "amount|%|null"
}
]
}
Type/validation rules (must match schema):
1. `meta` and `facts` are required.
2. `note_reference` is required string. Use "" when missing.
3. `path` is required list of strings (use [] when unknown, never null).
4. `is_note` must be boolean (never null and never "true"/"false" strings).
5. `date` must be `YYYY` or `YYYY-MM-DD` when provided.
6. `value` rules:
- If the value is a percentage, include `%` (for example `12%`, `12.5%`).
- If not a percentage, output only canonical numeric text: `Num`, `Num.Num`, `(Num)`, or `(Num.Num)`.
- For non-`%` values remove commas, spaces, currency signs/codes, and use parentheses for negatives (never leading `-`).
7. Use JSON null literal for missing optional values (never "null" string).
8. Do not include any keys not listed above.
Extraction rules:
1. Extract all visible numeric/table facts, including negatives in parentheses and totals.
2. If source is a dash placeholder (`-`, `鈥擿, `鈥揱), still extract the fact but set `value` to empty string `""`.
3. For non-`%` values, normalize `value` to canonical numeric shape only (`Num`, `Num.Num`, `(Num)`, `(Num.Num)`).
4. For `%` values, keep `%` in `value`.
6. `comment`: textual qualifier tied to the specific fact (for example `*without debt insurance`), else null.
7. `is_note`: true when the fact is itself inside a note section, else false.
8. `note`: use when this fact belongs to data presented inside a note section; else null.
9. `note_reference`: use when this fact points/references another note; else "".
10. `currency`: infer from page/header context (for example "砖拽诇讬诐 讞讚砖讬诐" -> "ILS"), else null.
11. `scale`: 1 unless page/header indicates thousands or millions.
12. `value_type`: "amount" unless the fact is a percentage ("%").
13. `date`: output only `YYYY` or `YYYY-MM-DD`. Convert dotted dates (`D.M.YYYY` / `DD.MM.YYYY`) to `YYYY-MM-DD` using day-first parsing.
14. `meta.type`: use "profits" for "讚讜讞讜转 注诇 讛驻注讬诇讜讬讜转"; otherwise choose the best enum value.
15. No duplicate facts. Order `facts` top-to-bottom; within each row use right-to-left for Hebrew/RTL pages and left-to-right for English/LTR pages (fallback RTL if uncertain).
16. Output UTF-8 Hebrew directly (do not escape to unicode sequences).
Path hierarchy rule:
1. Build `path` with horizontal-axis hierarchy first (row-side structure: group -> subgroup -> line item).
2. Then append vertical-axis hierarchy only when it adds business semantics not already represented by dedicated fields.
3. Do not encode period/currency/scale/value-format in `path` when already represented by `date`/`currency`/`scale`/`value_type`.
4. Keep labels exactly as shown. Do not invent levels. | {"meta":{"entity_name":"讗讜专谞讬诐 - 讛诪讻诇诇讛 讛讗拽讚诪讬转 诇讞讬谞讜讱, 讛转谞讜注讛 讛拽讬讘讜爪讬转","page_num":"8","type":"cash_flow","title":"讚讜讞讜转 注诇 转讝专讬诪讬 讛诪讝讜诪谞讬诐"},"facts":[{"value":"5863","comment":null,"is_note":false,"note":null,"note_reference":"","date":"2021-09-30","path":["转讝专讬诪讬 诪讝讜诪谞讬诐 诪驻注讬诇讜转 砖讜讟驻转","注讜讚祝 诇砖谞讛"],"currency":"ILS","scale":1000,"value_type":"amount"},{"value":"4175","comment":null,"is_note":false,"note":null,"note_reference":"","date":"2020-09-30","path":["转讝专讬诪讬 诪讝讜诪谞讬诐 诪驻注讬诇讜转 砖讜讟驻转","注讜讚祝 诇砖谞讛"],"currency":"ILS","scale":1000,"value_type":"amount"},{"value":"139","comment":null,"is_note":false,"note":null,"note_reference":"讗","date":"2021-09-30","path":["转讝专讬诪讬 诪讝讜诪谞讬诐 诪驻注讬诇讜转 砖讜讟驻转","讛转讗诪讜转 讛讚专讜砖讜转 讻讚讬 诇讛爪讬讙 讗转 转讝专讬诪讬 讛诪讝讜诪谞讬诐 诪驻注讬诇讜转 砖讜讟驻转 (讗)"],"currency":"ILS","scale":1000,"value_type":"amount"},{"value":"1078","comment":null,"is_note":false,"note":null,"note_reference":"讗","date":"2020-09-30","path":["转讝专讬诪讬 诪讝讜诪谞讬诐 诪驻注讬诇讜转 砖讜讟驻转","讛转讗诪讜转 讛讚专讜砖讜转 讻讚讬 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讛砖谞讛"],"currency":"ILS","scale":1000,"value_type":"amount"},{"value":"4851","comment":null,"is_note":false,"note":null,"note_reference":"","date":"2020-09-30","path":["诪讝讜诪谞讬诐 讜砖讜讜讬 诪讝讜诪谞讬诐 诇住讜祝 讛砖谞讛"],"currency":"ILS","scale":1000,"value_type":"amount"}]} | |
You are a precise financial statement extraction system. Return only valid JSON that matches the required schema. | You are extracting financial-statement annotations from a single page image into the exact Pydantic schema `PageExtraction`.
Return ONLY valid JSON.
Do NOT return markdown, code fences, comments, prose, or extra keys.
Top-level schema (exact keys only):
{
"meta": {
"entity_name": "<string or null>",
"page_num": "<string or null>",
"type": "balance_sheet|income_statement|cash_flow|notes|contents_page|title|declaration|profits|other",
"title": "<string or null>"
},
"facts": [
{
"value": "<string>",
"comment": "<string or null>",
"is_note": <true|false>,
"note": "<string or null>",
"note_reference": "<string>",
"date": "<string or null>",
"path": ["<string>", "..."],
"currency": "ILS|USD|EUR|GBP|null",
"scale": 1|1000|1000000|null,
"value_type": "amount|%|null"
}
]
}
Type/validation rules (must match schema):
1. `meta` and `facts` are required.
2. `note_reference` is required string. Use "" when missing.
3. `path` is required list of strings (use [] when unknown, never null).
4. `is_note` must be boolean (never null and never "true"/"false" strings).
5. `date` must be `YYYY` or `YYYY-MM-DD` when provided.
6. `value` rules:
- If the value is a percentage, include `%` (for example `12%`, `12.5%`).
- If not a percentage, output only canonical numeric text: `Num`, `Num.Num`, `(Num)`, or `(Num.Num)`.
- For non-`%` values remove commas, spaces, currency signs/codes, and use parentheses for negatives (never leading `-`).
7. Use JSON null literal for missing optional values (never "null" string).
8. Do not include any keys not listed above.
Extraction rules:
1. Extract all visible numeric/table facts, including negatives in parentheses and totals.
2. If source is a dash placeholder (`-`, `鈥擿, `鈥揱), still extract the fact but set `value` to empty string `""`.
3. For non-`%` values, normalize `value` to canonical numeric shape only (`Num`, `Num.Num`, `(Num)`, `(Num.Num)`).
4. For `%` values, keep `%` in `value`.
6. `comment`: textual qualifier tied to the specific fact (for example `*without debt insurance`), else null.
7. `is_note`: true when the fact is itself inside a note section, else false.
8. `note`: use when this fact belongs to data presented inside a note section; else null.
9. `note_reference`: use when this fact points/references another note; else "".
10. `currency`: infer from page/header context (for example "砖拽诇讬诐 讞讚砖讬诐" -> "ILS"), else null.
11. `scale`: 1 unless page/header indicates thousands or millions.
12. `value_type`: "amount" unless the fact is a percentage ("%").
13. `date`: output only `YYYY` or `YYYY-MM-DD`. Convert dotted dates (`D.M.YYYY` / `DD.MM.YYYY`) to `YYYY-MM-DD` using day-first parsing.
14. `meta.type`: use "profits" for "讚讜讞讜转 注诇 讛驻注讬诇讜讬讜转"; otherwise choose the best enum value.
15. No duplicate facts. Order `facts` top-to-bottom; within each row use right-to-left for Hebrew/RTL pages and left-to-right for English/LTR pages (fallback RTL if uncertain).
16. Output UTF-8 Hebrew directly (do not escape to unicode sequences).
Path hierarchy rule:
1. Build `path` with horizontal-axis hierarchy first (row-side structure: group -> subgroup -> line item).
2. Then append vertical-axis hierarchy only when it adds business semantics not already represented by dedicated fields.
3. Do not encode period/currency/scale/value-format in `path` when already represented by `date`/`currency`/`scale`/`value_type`.
4. Keep labels exactly as shown. 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