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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>", "note": "<string or null>", "is_beur": <true|false|null>, "beur_num": "<string or null>", "refference": "<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. `refference` is required string (keep exact misspelling). Use "" when missing. 3. `path` is required list of strings (use [] when unknown, never null). 4. `is_beur` must be boolean or null (never "true"/"false" strings). 5. Use JSON null literal for missing optional values (never "null" string). 6. Do not include any keys not listed above. Extraction rules: 1. Extract all visible numeric/table facts, including negatives in parentheses and totals. 2. Also extract placeholder values ("-", "โ€”", "โ€“", similar dashes) when they appear as actual cell values. 3. Keep `value` exactly as printed (commas, parentheses, percent sign, dash placeholders). 5. `note`: textual qualifier tied to the specific fact (for example `*without debt insurance`), else null. 6. `beur_num`: use when this fact belongs to data presented inside that beur section; else null. 7. `refference`: use when this fact points/references another beur; else "". 8. `currency`: infer from page/header context (for example "ืฉืงืœื™ื ื—ื“ืฉื™ื" -> "ILS"), else null. 9. `scale`: 1 unless page/header indicates thousands or millions. 10. `value_type`: "amount" unless the fact is a percentage ("%"). 11. `date`: map by column/year context when explicit and unambiguous; else null. 12. `meta.type`: use "profits" for "ื“ื•ื—ื•ืช ืขืœ ื”ืคืขื™ืœื•ื™ื•ืช"; otherwise choose the best enum value. 13. No duplicate facts. Order `facts` top-to-bottom, then left-to-right. 14. 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":"ืขืชื™ื“ ื”ื˜ื ื™ืก - ืขืžื•ืชื” ืœืงื™ื“ื•ื ื”ื˜ื ื™ืก ื‘ืื–ื•ืจ ืจืืฉื•ืŸ ืœืฆื™ื•ืŸ ื•ื”ืกื‘ื™ื‘ื” (ืขืดืจ)","page_num":null,"type":"title","title":null},"facts":[]}
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>", "note": "<string or null>", "is_beur": <true|false|null>, "beur_num": "<string or null>", "refference": "<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. `refference` is required string (keep exact misspelling). Use "" when missing. 3. `path` is required list of strings (use [] when unknown, never null). 4. `is_beur` must be boolean or null (never "true"/"false" strings). 5. Use JSON null literal for missing optional values (never "null" string). 6. Do not include any keys not listed above. Extraction rules: 1. Extract all visible numeric/table facts, including negatives in parentheses and totals. 2. Also extract placeholder values ("-", "โ€”", "โ€“", similar dashes) when they appear as actual cell values. 3. Keep `value` exactly as printed (commas, parentheses, percent sign, dash placeholders). 5. `note`: textual qualifier tied to the specific fact (for example `*without debt insurance`), else null. 6. `beur_num`: use when this fact belongs to data presented inside that beur section; else null. 7. `refference`: use when this fact points/references another beur; else "". 8. `currency`: infer from page/header context (for example "ืฉืงืœื™ื ื—ื“ืฉื™ื" -> "ILS"), else null. 9. `scale`: 1 unless page/header indicates thousands or millions. 10. `value_type`: "amount" unless the fact is a percentage ("%"). 11. `date`: map by column/year context when explicit and unambiguous; else null. 12. `meta.type`: use "profits" for "ื“ื•ื—ื•ืช ืขืœ ื”ืคืขื™ืœื•ื™ื•ืช"; otherwise choose the best enum value. 13. No duplicate facts. Order `facts` top-to-bottom, then left-to-right. 14. 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":"ืขืชื™ื“ ื”ื˜ื ื™ืก - ืขืžื•ืชื” ืœืงื™ื“ื•ื ื”ื˜ื ื™ืก ื‘ืื–ื•ืจ ืจืืฉื•ืŸ ืœืฆื™ื•ืŸ ื•ื”ืกื‘ื™ื‘ื” (ืขืดืจ)","page_num":null,"type":"contents_page","title":null},"facts":[]}
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>", "note": "<string or null>", "is_beur": <true|false|null>, "beur_num": "<string or null>", "refference": "<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. `refference` is required string (keep exact misspelling). Use "" when missing. 3. `path` is required list of strings (use [] when unknown, never null). 4. `is_beur` must be boolean or null (never "true"/"false" strings). 5. Use JSON null literal for missing optional values (never "null" string). 6. Do not include any keys not listed above. Extraction rules: 1. Extract all visible numeric/table facts, including negatives in parentheses and totals. 2. Also extract placeholder values ("-", "โ€”", "โ€“", similar dashes) when they appear as actual cell values. 3. Keep `value` exactly as printed (commas, parentheses, percent sign, dash placeholders). 5. `note`: textual qualifier tied to the specific fact (for example `*without debt insurance`), else null. 6. `beur_num`: use when this fact belongs to data presented inside that beur section; else null. 7. `refference`: use when this fact points/references another beur; else "". 8. `currency`: infer from page/header context (for example "ืฉืงืœื™ื ื—ื“ืฉื™ื" -> "ILS"), else null. 9. `scale`: 1 unless page/header indicates thousands or millions. 10. `value_type`: "amount" unless the fact is a percentage ("%"). 11. `date`: map by column/year context when explicit and unambiguous; else null. 12. `meta.type`: use "profits" for "ื“ื•ื—ื•ืช ืขืœ ื”ืคืขื™ืœื•ื™ื•ืช"; otherwise choose the best enum value. 13. No duplicate facts. Order `facts` top-to-bottom, then left-to-right. 14. 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":"ืขืชื™ื“ ื”ื˜ื ื™ืก - ืขืžื•ืชื” ืœืงื™ื“ื•ื ื”ื˜ื ื™ืก ื‘ืื–ื•ืจ ืจืืฉื•ืŸ ืœืฆื™ื•ืŸ ื•ื”ืกื‘ื™ื‘ื” (ืขืดืจ)","page_num":"2","type":"declaration","title":null},"facts":[]}
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>", "note": "<string or null>", "is_beur": <true|false|null>, "beur_num": "<string or null>", "refference": "<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. `refference` is required string (keep exact misspelling). Use "" when missing. 3. `path` is required list of strings (use [] when unknown, never null). 4. `is_beur` must be boolean or null (never "true"/"false" strings). 5. Use JSON null literal for missing optional values (never "null" string). 6. Do not include any keys not listed above. Extraction rules: 1. Extract all visible numeric/table facts, including negatives in parentheses and totals. 2. Also extract placeholder values ("-", "โ€”", "โ€“", similar dashes) when they appear as actual cell values. 3. Keep `value` exactly as printed (commas, parentheses, percent sign, dash placeholders). 5. `note`: textual qualifier tied to the specific fact (for example `*without debt insurance`), else null. 6. `beur_num`: use when this fact belongs to data presented inside that beur section; else null. 7. `refference`: use when this fact points/references another beur; else "". 8. `currency`: infer from page/header context (for example "ืฉืงืœื™ื ื—ื“ืฉื™ื" -> "ILS"), else null. 9. `scale`: 1 unless page/header indicates thousands or millions. 10. `value_type`: "amount" unless the fact is a percentage ("%"). 11. `date`: map by column/year context when explicit and unambiguous; else null. 12. `meta.type`: use "profits" for "ื“ื•ื—ื•ืช ืขืœ ื”ืคืขื™ืœื•ื™ื•ืช"; otherwise choose the best enum value. 13. No duplicate facts. Order `facts` top-to-bottom, then left-to-right. 14. 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":"ืขืชื™ื“ ื”ื˜ื ื™ืก - ืขืžื•ืชื” ืœืงื™ื“ื•ื ื”ื˜ื ื™ืก ื‘ืื–ื•ืจ ืจืืฉื•ืŸ ืœืฆื™ื•ืŸ ื•ื”ืกื‘ื™ื‘ื” (ืขืดืจ)","page_num":"3","type":"balance_sheet","title":"ืžืื–ื ื™ื"},"facts":[{"value":"8196","note":null,"is_beur":null,"beur_num":null,"refference":"","date":"31.12.2022","path":["ืจื›ื•ืฉ ืฉื•ื˜ืฃ","ืžื–ื•ืžื ื™ื ื•ืฉื•ื•ื™ ืžื–ื•ืžื ื™ื"],"currency":"ILS","scale":1,"value_type":"amount"},{"value":"2002","note":null,"is_beur":null,"beur_num":null,"refference":"","date":"31.12.2023","path":["ืจื›ื•ืฉ ืฉื•ื˜ืฃ","ืžื–ื•ืžื ื™ื ื•ืฉื•ื•ื™ ืžื–ื•ืžื ื™ื"],"currency":"ILS","scale":1,"value_type":"amount"},{"value":"3800","note":null,"is_beur":null,"beur_num":null,"refference":"","date":"31.12.2022","path":["ืจื›ื•ืฉ ืฉื•ื˜ืฃ","ื“ืžื™ ื—ื‘ืจ ืœืงื‘ืœ / ืœืงื•ื—ื•ืช"],"currency":"ILS","scale":1,"value_type":"amount"},{"value":"14854","note":null,"is_beur":null,"beur_num":null,"refference":"","date":"31.12.2023","path":["ืจื›ื•ืฉ ืฉื•ื˜ืฃ","ื“ืžื™ ื—ื‘ืจ ืœืงื‘ืœ / ืœืงื•ื—ื•ืช"],"currency":"ILS","scale":1,"value_type":"amount"},{"value":"11996","note":null,"is_beur":null,"beur_num":null,"refference":"","date":"31.12.2022","path":["ืจื›ื•ืฉ ืฉื•ื˜ืฃ","ืกื”ืดื›"],"currency":"ILS","scale":1,"value_type":"amount"},{"value":"16856","note":null,"is_beur":null,"beur_num":null,"refference":"","date":"31.12.2023","path":["ืจื›ื•ืฉ ืฉื•ื˜ืฃ","ืกื”ืดื›"],"currency":"ILS","scale":1,"value_type":"amount"},{"value":"26003","note":null,"is_beur":null,"beur_num":null,"refference":"3","date":"31.12.2023","path":["ืจื›ื•ืฉ ืงื‘ื•ืข"],"currency":"ILS","scale":1,"value_type":"amount"},{"value":"8281","note":null,"is_beur":null,"beur_num":null,"refference":"3","date":"31.12.2022","path":["ืจื›ื•ืฉ ืงื‘ื•ืข"],"currency":"ILS","scale":1,"value_type":"amount"},{"value":"20277","note":null,"is_beur":null,"beur_num":null,"refference":"","date":"31.12.2022","path":["ืกื”\"ื› ื ื›ืกื™ื"],"currency":"ILS","scale":1,"value_type":"amount"},{"value":"42859","note":null,"is_beur":null,"beur_num":null,"refference":"","date":"31.12.2023","path":["ืกื”\"ื› ื ื›ืกื™ื"],"currency":"ILS","scale":1,"value_type":"amount"},{"value":"27709","note":null,"is_beur":null,"beur_num":null,"refference":"","date":"31.12.2023","path":["ื”ืชื—ื™ื™ื‘ื•ื™ื•ืช ืฉื•ื˜ืคื•ืช","ืืฉืจืื™ ืžืชืื’ื™ื“ื™ื ื‘ื ืงืื™ื™ื"],"currency":"ILS","scale":1,"value_type":"amount"},{"value":"11460","note":null,"is_beur":null,"beur_num":null,"refference":"","date":"31.12.2022","path":["ื”ืชื—ื™ื™ื‘ื•ื™ื•ืช ืฉื•ื˜ืคื•ืช","ืืฉืจืื™ ืžืชืื’ื™ื“ื™ื ื‘ื ืงืื™ื™ื"],"currency":"ILS","scale":1,"value_type":"amount"},{"value":"12230","note":null,"is_beur":null,"beur_num":null,"refference":"","date":"31.12.2022","path":["ื”ืชื—ื™ื™ื‘ื•ื™ื•ืช ืฉื•ื˜ืคื•ืช","ืกืคืงื™ื ื•ื ื•ืชื ื™ ืฉืจื•ืชื™ื"],"currency":"ILS","scale":1,"value_type":"amount"},{"value":"15927","note":null,"is_beur":null,"beur_num":null,"refference":"","date":"31.12.2023","path":["ื”ืชื—ื™ื™ื‘ื•ื™ื•ืช ืฉื•ื˜ืคื•ืช","ืกืคืงื™ื ื•ื ื•ืชื ื™ ืฉืจื•ืชื™ื"],"currency":"ILS","scale":1,"value_type":"amount"},{"value":"37348","note":null,"is_beur":null,"beur_num":null,"refference":"4","date":"31.12.2023","path":["ื”ืชื—ื™ื™ื‘ื•ื™ื•ืช ืฉื•ื˜ืคื•ืช","ื–ื›ืื™ื ืฉื•ื ื™ื ื•ื™ืชืจื•ืช ื–ื›ื•ืช"],"currency":"ILS","scale":1,"value_type":"amount"},{"value":"30594","note":null,"is_beur":null,"beur_num":null,"refference":"4","date":"31.12.2022","path":["ื”ืชื—ื™ื™ื‘ื•ื™ื•ืช ืฉื•ื˜ืคื•ืช","ื–ื›ืื™ื ืฉื•ื ื™ื ื•ื™ืชืจื•ืช ื–ื›ื•ืช"],"currency":"ILS","scale":1,"value_type":"amount"},{"value":"80984","note":null,"is_beur":null,"beur_num":null,"refference":"","date":"31.12.2023","path":["ื”ืชื—ื™ื™ื‘ื•ื™ื•ืช ืฉื•ื˜ืคื•ืช","ืกื”ืดื›"],"currency":"ILS","scale":1,"value_type":"amount"},{"value":"54284","note":null,"is_beur":null,"beur_num":null,"refference":"","date":"31.12.2022","path":["ื”ืชื—ื™ื™ื‘ื•ื™ื•ืช ืฉื•ื˜ืคื•ืช","ืกื”ืดื›"],"currency":"ILS","scale":1,"value_type":"amount"},{"value":"54284","note":null,"is_beur":null,"beur_num":null,"refference":"","date":"31.12.2022","path":["ืกื”\"ื› ื”ืชื—ื™ื™ื‘ื•ื™ื•ืช"],"currency":"ILS","scale":1,"value_type":"amount"},{"value":"80984","note":null,"is_beur":null,"beur_num":null,"refference":"","date":"31.12.2023","path":["ืกื”\"ื› ื”ืชื—ื™ื™ื‘ื•ื™ื•ืช"],"currency":"ILS","scale":1,"value_type":"amount"},{"value":"-","note":null,"is_beur":null,"beur_num":null,"refference":"","date":"31.12.2022","path":["ื’ืจืขื•ืŸ ื‘ื”ื•ืŸ","ื ื›ืกื™ื ื ื˜ื• ืฉืœื ืงื™ื™ืžืช ืœื’ื‘ื™ื”ื ื”ื’ื‘ืœื” (ื’ืจืขื•ืŸ)","ื ื›ืกื™ื ื ื˜ื• ืœืฉื™ืžื•ืฉ ืœืคืขื™ืœื•ื™ื•ืช","ืฉื™ื•ืขื“ื• ืขืœ ื™ื“ื™ ืžื•ืกื“ื•ืช ื”ืžืœื›\"ืจ"],"currency":"ILS","scale":1,"value_type":"amount"},{"value":"-","note":null,"is_beur":null,"beur_num":null,"refference":"","date":"31.12.2023","path":["ื’ืจืขื•ืŸ ื‘ื”ื•ืŸ","ื ื›ืกื™ื ื ื˜ื• ืฉืœื ืงื™ื™ืžืช ืœื’ื‘ื™ื”ื ื”ื’ื‘ืœื” (ื’ืจืขื•ืŸ)","ื ื›ืกื™ื ื ื˜ื• ืœืฉื™ืžื•ืฉ ืœืคืขื™ืœื•ื™ื•ืช","ืฉื™ื•ืขื“ื• ืขืœ ื™ื“ื™ ืžื•ืกื“ื•ืช ื”ืžืœื›\"ืจ"],"currency":"ILS","scale":1,"value_type":"amount"},{"value":"(64128)","note":null,"is_beur":null,"beur_num":null,"refference":"","date":"31.12.2023","path":["ื’ืจืขื•ืŸ ื‘ื”ื•ืŸ","ื ื›ืกื™ื ื ื˜ื• ืœืฉื™ืžื•ืฉ ืœืคืขื™ืœื•ื™ื•ืช","ื ื›ืกื™ื ื ื˜ื• ืฉืœื ืงื™ื™ืžืช ืœื’ื‘ื™ื”ื ื”ื’ื‘ืœื” (ื’ืจืขื•ืŸ)","ืฉืœื ื™ื•ืขื“ื• ืขืœ ื™ื“ื™ ืžื•ืกื“ื•ืช ื”ืžืœื›\"ืจ"],"currency":"ILS","scale":1,"value_type":"amount"},{"value":"(42288)","note":null,"is_beur":null,"beur_num":null,"refference":"","date":"31.12.2022","path":["ื’ืจืขื•ืŸ ื‘ื”ื•ืŸ","ื ื›ืกื™ื ื ื˜ื• ืœืฉื™ืžื•ืฉ ืœืคืขื™ืœื•ื™ื•ืช","ื ื›ืกื™ื ื ื˜ื• ืฉืœื ืงื™ื™ืžืช ืœื’ื‘ื™ื”ื ื”ื’ื‘ืœื” (ื’ืจืขื•ืŸ)","ืฉืœื ื™ื•ืขื“ื• ืขืœ ื™ื“ื™ ืžื•ืกื“ื•ืช ื”ืžืœื›\"ืจ"],"currency":"ILS","scale":1,"value_type":"amount"},{"value":"(42288)","note":null,"is_beur":null,"beur_num":null,"refference":"","date":"31.12.2022","path":["ื’ืจืขื•ืŸ ื‘ื”ื•ืŸ","ื ื›ืกื™ื ื ื˜ื• ืฉืœื ืงื™ื™ืžืช ืœื’ื‘ื™ื”ื ื”ื’ื‘ืœื” (ื’ืจืขื•ืŸ)","ื ื›ืกื™ื ื ื˜ื• ืœืฉื™ืžื•ืฉ ืœืคืขื™ืœื•ื™ื•ืช","ืกื”\"ื›"],"currency":"ILS","scale":1,"value_type":"amount"},{"value":"(64128)","note":null,"is_beur":null,"beur_num":null,"refference":"","date":"31.12.2023","path":["ื’ืจืขื•ืŸ ื‘ื”ื•ืŸ","ื ื›ืกื™ื ื ื˜ื• ืฉืœื ืงื™ื™ืžืช ืœื’ื‘ื™ื”ื ื”ื’ื‘ืœื” (ื’ืจืขื•ืŸ)","ื ื›ืกื™ื ื ื˜ื• ืœืฉื™ืžื•ืฉ ืœืคืขื™ืœื•ื™ื•ืช","ืกื”\"ื›"],"currency":"ILS","scale":1,"value_type":"amount"},{"value":"26003","note":null,"is_beur":null,"beur_num":null,"refference":"","date":"31.12.2023","path":["ื’ืจืขื•ืŸ ื‘ื”ื•ืŸ","ื ื›ืกื™ื ื ื˜ื• ืฉืœื ืงื™ื™ืžืช ืœื’ื‘ื™ื”ื ื”ื’ื‘ืœื” (ื’ืจืขื•ืŸ)","ื ื›ืกื™ื ื ื˜ื• ืฉืฉื™ืžืฉื• ืœืจื›ื•ืฉ ืงื‘ื•ืข"],"currency":"ILS","scale":1,"value_type":"amount"},{"value":"8281","note":null,"is_beur":null,"beur_num":null,"refference":"","date":"31.12.2022","path":["ื’ืจืขื•ืŸ ื‘ื”ื•ืŸ","ื ื›ืกื™ื ื ื˜ื• ืฉืœื ืงื™ื™ืžืช ืœื’ื‘ื™ื”ื ื”ื’ื‘ืœื” (ื’ืจืขื•ืŸ)","ื ื›ืกื™ื ื ื˜ื• ืฉืฉื™ืžืฉื• ืœืจื›ื•ืฉ ืงื‘ื•ืข"],"currency":"ILS","scale":1,"value_type":"amount"},{"value":"(38125)","note":null,"is_beur":null,"beur_num":null,"refference":"","date":"31.12.2023","path":["ื’ืจืขื•ืŸ ื‘ื”ื•ืŸ","ืกื”ืดื›"],"currency":"ILS","scale":1,"value_type":"amount"},{"value":"(34007)","note":null,"is_beur":null,"beur_num":null,"refference":"","date":"31.12.2022","path":["ื’ืจืขื•ืŸ ื‘ื”ื•ืŸ","ืกื”ืดื›"],"currency":"ILS","scale":1,"value_type":"amount"},{"value":"20277","note":null,"is_beur":null,"beur_num":null,"refference":"","date":"31.12.2022","path":["ืกื”\"ื› ื”ืชื—ื™ื™ื‘ื•ื™ื•ืช ื•ื ื›ืกื™ื ื ื˜ื•"],"currency":"ILS","scale":1,"value_type":"amount"},{"value":"42859","note":null,"is_beur":null,"beur_num":null,"refference":"","date":"31.12.2023","path":["ืกื”\"ื› ื”ืชื—ื™ื™ื‘ื•ื™ื•ืช ื•ื ื›ืกื™ื ื ื˜ื•"],"currency":"ILS","scale":1,"value_type":"amount"}]}
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>", "note": "<string or null>", "is_beur": <true|false|null>, "beur_num": "<string or null>", "refference": "<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. `refference` is required string (keep exact misspelling). Use "" when missing. 3. `path` is required list of strings (use [] when unknown, never null). 4. `is_beur` must be boolean or null (never "true"/"false" strings). 5. Use JSON null literal for missing optional values (never "null" string). 6. Do not include any keys not listed above. Extraction rules: 1. Extract all visible numeric/table facts, including negatives in parentheses and totals. 2. Also extract placeholder values ("-", "โ€”", "โ€“", similar dashes) when they appear as actual cell values. 3. Keep `value` exactly as printed (commas, parentheses, percent sign, dash placeholders). 5. `note`: textual qualifier tied to the specific fact (for example `*without debt insurance`), else null. 6. `beur_num`: use when this fact belongs to data presented inside that beur section; else null. 7. `refference`: use when this fact points/references another beur; else "". 8. `currency`: infer from page/header context (for example "ืฉืงืœื™ื ื—ื“ืฉื™ื" -> "ILS"), else null. 9. `scale`: 1 unless page/header indicates thousands or millions. 10. `value_type`: "amount" unless the fact is a percentage ("%"). 11. `date`: map by column/year context when explicit and unambiguous; else null. 12. `meta.type`: use "profits" for "ื“ื•ื—ื•ืช ืขืœ ื”ืคืขื™ืœื•ื™ื•ืช"; otherwise choose the best enum value. 13. No duplicate facts. Order `facts` top-to-bottom, then left-to-right. 14. 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":"ืขืชื™ื“ ื”ื˜ื ื™ืก - ืขืžื•ืชื” ืœืงื™ื“ื•ื ื”ื˜ื ื™ืก ื‘ืื–ื•ืจ ืจืืฉื•ืŸ ืœืฆื™ื•ืŸ ื•ื”ืกื‘ื™ื‘ื” (ืขืดืจ)","page_num":"4","type":"income_statement","title":"ื“ื•ื—ื•ืช ืขืœ ื”ืคืขื™ืœื•ื™ื•ืช"},"facts":[{"value":"1280395","note":null,"is_beur":null,"beur_num":null,"refference":"","date":"31.12.2022","path":["ืžื—ื–ื•ืจ ื”ืคืขื™ืœื•ื™ื•ืช","ื”ื›ื ืกื•ืช ืžืžืชืŸ ืฉื™ืจื•ืชื™ื"],"currency":"ILS","scale":1,"value_type":"amount"},{"value":"1445674","note":null,"is_beur":null,"beur_num":null,"refference":"","date":"31.12.2023","path":["ืžื—ื–ื•ืจ ื”ืคืขื™ืœื•ื™ื•ืช","ื”ื›ื ืกื•ืช ืžืžืชืŸ ืฉื™ืจื•ืชื™ื"],"currency":"ILS","scale":1,"value_type":"amount"},{"value":"1344239","note":null,"is_beur":null,"beur_num":null,"refference":"5","date":"31.12.2022","path":["ืขืœื•ืช ื”ืคืขื™ืœื•ื™ื•ืช"],"currency":"ILS","scale":1,"value_type":"amount"},{"value":"1304248","note":null,"is_beur":null,"beur_num":null,"refference":"5","date":"31.12.2023","path":["ืขืœื•ืช ื”ืคืขื™ืœื•ื™ื•ืช"],"currency":"ILS","scale":1,"value_type":"amount"},{"value":"141426","note":null,"is_beur":null,"beur_num":null,"refference":"","date":"31.12.2023","path":["ื”ื›ื ืกื•ืช (ื”ื•ืฆืื•ืช) ื ื˜ื• ืžืคืขื™ืœื•ื™ื•ืช (ืœืคืขื™ืœื•ื™ื•ืช)"],"currency":"ILS","scale":1,"value_type":"amount"},{"value":"(63844)","note":null,"is_beur":null,"beur_num":null,"refference":"","date":"31.12.2022","path":["ื”ื›ื ืกื•ืช (ื”ื•ืฆืื•ืช) ื ื˜ื• ืžืคืขื™ืœื•ื™ื•ืช (ืœืคืขื™ืœื•ื™ื•ืช)"],"currency":"ILS","scale":1,"value_type":"amount"},{"value":"142051","note":null,"is_beur":null,"beur_num":null,"refference":"6","date":"31.12.2022","path":["ื”ื•ืฆืื•ืช ื”ื ื”ืœื” ื•ื›ืœืœื™ื•ืช"],"currency":"ILS","scale":1,"value_type":"amount"},{"value":"134960","note":null,"is_beur":null,"beur_num":null,"refference":"6","date":"31.12.2023","path":["ื”ื•ืฆืื•ืช ื”ื ื”ืœื” ื•ื›ืœืœื™ื•ืช"],"currency":"ILS","scale":1,"value_type":"amount"},{"value":"(205895)","note":null,"is_beur":null,"beur_num":null,"refference":"","date":"31.12.2022","path":["ื”ื›ื ืกื•ืช (ื”ื•ืฆืื•ืช) ื ื˜ื• ืœืคื ื™ ืžื™ืžื•ืŸ"],"currency":"ILS","scale":1,"value_type":"amount"},{"value":"6466","note":null,"is_beur":null,"beur_num":null,"refference":"","date":"31.12.2023","path":["ื”ื›ื ืกื•ืช (ื”ื•ืฆืื•ืช) ื ื˜ื• ืœืคื ื™ ืžื™ืžื•ืŸ"],"currency":"ILS","scale":1,"value_type":"amount"},{"value":"10584","note":null,"is_beur":null,"beur_num":null,"refference":"","date":"31.12.2023","path":["ืžื™ืžื•ืŸ, ื ื˜ื•"],"currency":"ILS","scale":1,"value_type":"amount"},{"value":"9102","note":null,"is_beur":null,"beur_num":null,"refference":"","date":"31.12.2022","path":["ืžื™ืžื•ืŸ, ื ื˜ื•"],"currency":"ILS","scale":1,"value_type":"amount"},{"value":"(4118)","note":null,"is_beur":null,"beur_num":null,"refference":"","date":"31.12.2023","path":["ื’ืจืขื•ืŸ ืœืชืงื•ืคื”"],"currency":"ILS","scale":1,"value_type":"amount"},{"value":"(214997)","note":null,"is_beur":null,"beur_num":null,"refference":"","date":"31.12.2022","path":["ื’ืจืขื•ืŸ ืœืชืงื•ืคื”"],"currency":"ILS","scale":1,"value_type":"amount"}]}
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>", "note": "<string or null>", "is_beur": <true|false|null>, "beur_num": "<string or null>", "refference": "<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. `refference` is required string (keep exact misspelling). Use "" when missing. 3. `path` is required list of strings (use [] when unknown, never null). 4. `is_beur` must be boolean or null (never "true"/"false" strings). 5. Use JSON null literal for missing optional values (never "null" string). 6. Do not include any keys not listed above. Extraction rules: 1. Extract all visible numeric/table facts, including negatives in parentheses and totals. 2. Also extract placeholder values ("-", "โ€”", "โ€“", similar dashes) when they appear as actual cell values. 3. Keep `value` exactly as printed (commas, parentheses, percent sign, dash placeholders). 5. `note`: textual qualifier tied to the specific fact (for example `*without debt insurance`), else null. 6. `beur_num`: use when this fact belongs to data presented inside that beur section; else null. 7. `refference`: use when this fact points/references another beur; else "". 8. `currency`: infer from page/header context (for example "ืฉืงืœื™ื ื—ื“ืฉื™ื" -> "ILS"), else null. 9. `scale`: 1 unless page/header indicates thousands or millions. 10. `value_type`: "amount" unless the fact is a percentage ("%"). 11. `date`: map by column/year context when explicit and unambiguous; else null. 12. `meta.type`: use "profits" for "ื“ื•ื—ื•ืช ืขืœ ื”ืคืขื™ืœื•ื™ื•ืช"; otherwise choose the best enum value. 13. No duplicate facts. Order `facts` top-to-bottom, then left-to-right. 14. 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.
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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>", "note": "<string or null>", "is_beur": <true|false|null>, "beur_num": "<string or null>", "refference": "<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. `refference` is required string (keep exact misspelling). Use "" when missing. 3. `path` is required list of strings (use [] when unknown, never null). 4. `is_beur` must be boolean or null (never "true"/"false" strings). 5. Use JSON null literal for missing optional values (never "null" string). 6. Do not include any keys not listed above. Extraction rules: 1. Extract all visible numeric/table facts, including negatives in parentheses and totals. 2. Also extract placeholder values ("-", "โ€”", "โ€“", similar dashes) when they appear as actual cell values. 3. Keep `value` exactly as printed (commas, parentheses, percent sign, dash placeholders). 5. `note`: textual qualifier tied to the specific fact (for example `*without debt insurance`), else null. 6. `beur_num`: use when this fact belongs to data presented inside that beur section; else null. 7. `refference`: use when this fact points/references another beur; else "". 8. `currency`: infer from page/header context (for example "ืฉืงืœื™ื ื—ื“ืฉื™ื" -> "ILS"), else null. 9. `scale`: 1 unless page/header indicates thousands or millions. 10. `value_type`: "amount" unless the fact is a percentage ("%"). 11. `date`: map by column/year context when explicit and unambiguous; else null. 12. `meta.type`: use "profits" for "ื“ื•ื—ื•ืช ืขืœ ื”ืคืขื™ืœื•ื™ื•ืช"; otherwise choose the best enum value. 13. No duplicate facts. Order `facts` top-to-bottom, then left-to-right. 14. 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":"ืขืชื™ื“ ื”ื˜ื ื™ืก - ืขืžื•ืชื” ืœืงื™ื“ื•ื ื”ื˜ื ื™ืก ื‘ืื–ื•ืจ ืจืืฉื•ืŸ ืœืฆื™ื•ืŸ ื•ื”ืกื‘ื™ื‘ื” (ืข\"ืจ)","page_num":"6","type":"notes","title":"ื‘ืื•ืจื™ื ืœื“ื•ื—ื•ืช ื”ื›ืกืคื™ื™ื"},"facts":[{"value":"8281","note":null,"is_beur":true,"beur_num":"3","refference":"","date":"31.12.2022","path":["ื‘ืื•ืจ 3 - ืจื›ื•ืฉ ืงื‘ื•ืข","ืจื™ื”ื•ื˜ ื•ืฆื™ื•ื“ ืžืฉืจื“ื™","ืขืœื•ืช ืžื•ืคื—ืชืช"],"currency":"ILS","scale":1,"value_type":"amount"},{"value":"26003","note":null,"is_beur":true,"beur_num":"3","refference":"","date":"31.12.2023","path":["ื‘ืื•ืจ 3 - ืจื›ื•ืฉ ืงื‘ื•ืข","ืจื™ื”ื•ื˜ ื•ืฆื™ื•ื“ ืžืฉืจื“ื™","ืขืœื•ืช ืžื•ืคื—ืชืช"],"currency":"ILS","scale":1,"value_type":"amount"},{"value":"3558","note":null,"is_beur":true,"beur_num":"3","refference":"","date":"31.12.2023","path":["ื‘ืื•ืจ 3 - ืจื›ื•ืฉ ืงื‘ื•ืข","ืจื™ื”ื•ื˜ ื•ืฆื™ื•ื“ ืžืฉืจื“ื™","ืคื—ืช ืฉื ืฆื‘ืจ"],"currency":"ILS","scale":1,"value_type":"amount"},{"value":"29561","note":null,"is_beur":true,"beur_num":"3","refference":"","date":"31.12.2023","path":["ื‘ืื•ืจ 3 - ืจื›ื•ืฉ ืงื‘ื•ืข","ืจื™ื”ื•ื˜ ื•ืฆื™ื•ื“ ืžืฉืจื“ื™","ืขืœื•ืช"],"currency":"ILS","scale":1,"value_type":"amount"}]}
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>", "note": "<string or null>", "is_beur": <true|false|null>, "beur_num": "<string or null>", "refference": "<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. `refference` is required string (keep exact misspelling). Use "" when missing. 3. `path` is required list of strings (use [] when unknown, never null). 4. `is_beur` must be boolean or null (never "true"/"false" strings). 5. Use JSON null literal for missing optional values (never "null" string). 6. Do not include any keys not listed above. Extraction rules: 1. Extract all visible numeric/table facts, including negatives in parentheses and totals. 2. Also extract placeholder values ("-", "โ€”", "โ€“", similar dashes) when they appear as actual cell values. 3. Keep `value` exactly as printed (commas, parentheses, percent sign, dash placeholders). 5. `note`: textual qualifier tied to the specific fact (for example `*without debt insurance`), else null. 6. `beur_num`: use when this fact belongs to data presented inside that beur section; else null. 7. `refference`: use when this fact points/references another beur; else "". 8. `currency`: infer from page/header context (for example "ืฉืงืœื™ื ื—ื“ืฉื™ื" -> "ILS"), else null. 9. `scale`: 1 unless page/header indicates thousands or millions. 10. `value_type`: "amount" unless the fact is a percentage ("%"). 11. `date`: map by column/year context when explicit and unambiguous; else null. 12. `meta.type`: use "profits" for "ื“ื•ื—ื•ืช ืขืœ ื”ืคืขื™ืœื•ื™ื•ืช"; otherwise choose the best enum value. 13. No duplicate facts. Order `facts` top-to-bottom, then left-to-right. 14. 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":"ืขืชื™ื“ ื”ื˜ื ื™ืก - ืขืžื•ืชื” ืœืงื™ื“ื•ื ื”ื˜ื ื™ืก ื‘ืื–ื•ืจ ืจืืฉื•ืŸ ืœืฆื™ื•ืŸ ื•ื”ืกื‘ื™ื‘ื” (ืข\"ืจ)","page_num":"7","type":"notes","title":"ื‘ืื•ืจื™ื ืœื“ื•ื—ื•ืช ื”ื›ืกืคื™ื™ื"},"facts":[{"value":"20021","note":null,"is_beur":null,"beur_num":null,"refference":"","date":"31.12.2022","path":["ื‘ืื•ืจ 4 - ื–ื›ืื™ื ืฉื•ื ื™ื ื•ื™ืชืจื•ืช ื–ื›ื•ืช","ืžื•ืกื“ื•ืช"],"currency":"ILS","scale":1,"value_type":"amount"},{"value":"8230","note":null,"is_beur":null,"beur_num":null,"refference":"","date":"31.12.2023","path":["ื‘ืื•ืจ 4 - ื–ื›ืื™ื ืฉื•ื ื™ื ื•ื™ืชืจื•ืช ื–ื›ื•ืช","ืžื•ืกื“ื•ืช"],"currency":"ILS","scale":1,"value_type":"amount"},{"value":"10573","note":null,"is_beur":null,"beur_num":null,"refference":"","date":"31.12.2022","path":["ื‘ืื•ืจ 4 - ื–ื›ืื™ื ืฉื•ื ื™ื ื•ื™ืชืจื•ืช ื–ื›ื•ืช","ืขื•ื‘ื“ื™ื"],"currency":"ILS","scale":1,"value_type":"amount"},{"value":"25780","note":null,"is_beur":null,"beur_num":null,"refference":"","date":"31.12.2023","path":["ื‘ืื•ืจ 4 - 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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>", "note": "<string or null>", "is_beur": <true|false|null>, "beur_num": "<string or null>", "refference": "<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. `refference` is required string (keep exact misspelling). Use "" when missing. 3. `path` is required list of strings (use [] when unknown, never null). 4. `is_beur` must be boolean or null (never "true"/"false" strings). 5. Use JSON null literal for missing optional values (never "null" string). 6. Do not include any keys not listed above. Extraction rules: 1. Extract all visible numeric/table facts, including negatives in parentheses and totals. 2. Also extract placeholder values ("-", "โ€”", "โ€“", similar dashes) when they appear as actual cell values. 3. Keep `value` exactly as printed (commas, parentheses, percent sign, dash placeholders). 5. `note`: textual qualifier tied to the specific fact (for example `*without debt insurance`), else null. 6. `beur_num`: use when this fact belongs to data presented inside that beur section; else null. 7. `refference`: use when this fact points/references another beur; else "". 8. `currency`: infer from page/header context (for example "ืฉืงืœื™ื ื—ื“ืฉื™ื" -> "ILS"), else null. 9. `scale`: 1 unless page/header indicates thousands or millions. 10. `value_type`: "amount" unless the fact is a percentage ("%"). 11. `date`: map by column/year context when explicit and unambiguous; else null. 12. `meta.type`: use "profits" for "ื“ื•ื—ื•ืช ืขืœ ื”ืคืขื™ืœื•ื™ื•ืช"; otherwise choose the best enum value. 13. No duplicate facts. Order `facts` top-to-bottom, then left-to-right. 14. 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":"ืื•ืจื ื™ื - ื”ืžื›ืœืœื” ื”ืืงื“ืžื™ืช ืœื—ื™ื ื•ืš, ื”ืชื ื•ืขื” ื”ืงื™ื‘ื•ืฆื™ืช","page_num":null,"type":"other","title":"ื“ื•ื—ื•ืช ื›ืกืคื™ื™ื"},"facts":[]}
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>", "note": "<string or null>", "is_beur": <true|false|null>, "beur_num": "<string or null>", "refference": "<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. `refference` is required string (keep exact misspelling). Use "" when missing. 3. `path` is required list of strings (use [] when unknown, never null). 4. `is_beur` must be boolean or null (never "true"/"false" strings). 5. Use JSON null literal for missing optional values (never "null" string). 6. Do not include any keys not listed above. Extraction rules: 1. Extract all visible numeric/table facts, including negatives in parentheses and totals. 2. Also extract placeholder values ("-", "โ€”", "โ€“", similar dashes) when they appear as actual cell values. 3. Keep `value` exactly as printed (commas, parentheses, percent sign, dash placeholders). 5. `note`: textual qualifier tied to the specific fact (for example `*without debt insurance`), else null. 6. `beur_num`: use when this fact belongs to data presented inside that beur section; else null. 7. `refference`: use when this fact points/references another beur; else "". 8. `currency`: infer from page/header context (for example "ืฉืงืœื™ื ื—ื“ืฉื™ื" -> "ILS"), else null. 9. `scale`: 1 unless page/header indicates thousands or millions. 10. `value_type`: "amount" unless the fact is a percentage ("%"). 11. `date`: map by column/year context when explicit and unambiguous; else null. 12. `meta.type`: use "profits" for "ื“ื•ื—ื•ืช ืขืœ ื”ืคืขื™ืœื•ื™ื•ืช"; otherwise choose the best enum value. 13. No duplicate facts. Order `facts` top-to-bottom, then left-to-right. 14. 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":"ืื•ืจื ื™ื - ื”ืžื›ืœืœื” ื”ืืงื“ืžื™ืช ืœื—ื™ื ื•ืš, ื”ืชื ื•ืขื” ื”ืงื™ื‘ื•ืฆื™ืช","page_num":null,"type":"contents_page","title":"ืชื•ื›ืŸ ื”ืขื ื™ื™ื ื™ื"},"facts":[]}
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>", "note": "<string or null>", "is_beur": <true|false|null>, "beur_num": "<string or null>", "refference": "<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. `refference` is required string (keep exact misspelling). Use "" when missing. 3. `path` is required list of strings (use [] when unknown, never null). 4. `is_beur` must be boolean or null (never "true"/"false" strings). 5. Use JSON null literal for missing optional values (never "null" string). 6. Do not include any keys not listed above. Extraction rules: 1. Extract all visible numeric/table facts, including negatives in parentheses and totals. 2. Also extract placeholder values ("-", "โ€”", "โ€“", similar dashes) when they appear as actual cell values. 3. Keep `value` exactly as printed (commas, parentheses, percent sign, dash placeholders). 5. `note`: textual qualifier tied to the specific fact (for example `*without debt insurance`), else null. 6. `beur_num`: use when this fact belongs to data presented inside that beur section; else null. 7. `refference`: use when this fact points/references another beur; else "". 8. `currency`: infer from page/header context (for example "ืฉืงืœื™ื ื—ื“ืฉื™ื" -> "ILS"), else null. 9. `scale`: 1 unless page/header indicates thousands or millions. 10. `value_type`: "amount" unless the fact is a percentage ("%"). 11. `date`: map by column/year context when explicit and unambiguous; else null. 12. `meta.type`: use "profits" for "ื“ื•ื—ื•ืช ืขืœ ื”ืคืขื™ืœื•ื™ื•ืช"; otherwise choose the best enum value. 13. No duplicate facts. Order `facts` top-to-bottom, then left-to-right. 14. 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":"ืื•ืจื ื™ื - ื”ืžื›ืœืœื” ื”ืืงื“ืžื™ืช ืœื—ื™ื ื•ืš, ื”ืชื ื•ืขื” ื”ืงื™ื‘ื•ืฆื™ืช","page_num":"2","type":"declaration","title":"ื“ื•ื— ืจื•ืื” ื”ื—ืฉื‘ื•ืŸ ื”ืžื‘ืงืจ ืœื—ื‘ืจื™ ื”ืขืžื•ืชื”"},"facts":[]}
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>", "note": "<string or null>", "is_beur": <true|false|null>, "beur_num": "<string or null>", "refference": "<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. `refference` is required string (keep exact misspelling). Use "" when missing. 3. `path` is required list of strings (use [] when unknown, never null). 4. `is_beur` must be boolean or null (never "true"/"false" strings). 5. Use JSON null literal for missing optional values (never "null" string). 6. Do not include any keys not listed above. Extraction rules: 1. Extract all visible numeric/table facts, including negatives in parentheses and totals. 2. Also extract placeholder values ("-", "โ€”", "โ€“", similar dashes) when they appear as actual cell values. 3. Keep `value` exactly as printed (commas, parentheses, percent sign, dash placeholders). 5. `note`: textual qualifier tied to the specific fact (for example `*without debt insurance`), else null. 6. `beur_num`: use when this fact belongs to data presented inside that beur section; else null. 7. `refference`: use when this fact points/references another beur; else "". 8. `currency`: infer from page/header context (for example "ืฉืงืœื™ื ื—ื“ืฉื™ื" -> "ILS"), else null. 9. `scale`: 1 unless page/header indicates thousands or millions. 10. `value_type`: "amount" unless the fact is a percentage ("%"). 11. `date`: map by column/year context when explicit and unambiguous; else null. 12. `meta.type`: use "profits" for "ื“ื•ื—ื•ืช ืขืœ ื”ืคืขื™ืœื•ื™ื•ืช"; otherwise choose the best enum value. 13. No duplicate facts. Order `facts` top-to-bottom, then left-to-right. 14. 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":"ืื•ืจื ื™ื - ื”ืžื›ืœืœื” ื”ืืงื“ืžื™ืช ืœื—ื™ื ื•ืš, ื”ืชื ื•ืขื” ื”ืงื™ื‘ื•ืฆื™ืช","page_num":"3","type":"balance_sheet","title":"ื“ื•ื—ื•ืช ืขืœ ื”ืžืฆื‘ ื”ื›ืกืคื™"},"facts":[{"value":"4851","note":null,"is_beur":null,"beur_num":null,"refference":"4","date":"30.09.2020","path":["ื ื›ืกื™ื ืฉื•ื˜ืคื™ื","ืžื–ื•ืžื ื™ื ื•ืฉื•ื•ื™ ืžื–ื•ืžื ื™ื"],"currency":"ILS","scale":1000,"value_type":"amount"},{"value":"10255","note":null,"is_beur":null,"beur_num":null,"refference":"4","date":"30.09.2021","path":["ื ื›ืกื™ื ืฉื•ื˜ืคื™ื","ืžื–ื•ืžื ื™ื ื•ืฉื•ื•ื™ ืžื–ื•ืžื ื™ื"],"currency":"ILS","scale":1000,"value_type":"amount"},{"value":"3283","note":null,"is_beur":null,"beur_num":null,"refference":"5","date":"30.09.2021","path":["ื ื›ืกื™ื ืฉื•ื˜ืคื™ื","ื ื™ื™ืจื•ืช ืขืจืš ืกื—ื™ืจื™ื ืœื–ืžืŸ ืงืฆืจ"],"currency":"ILS","scale":1000,"value_type":"amount"},{"value":"5240","note":null,"is_beur":null,"beur_num":null,"refference":"5","date":"30.09.2020","path":["ื ื›ืกื™ื ืฉื•ื˜ืคื™ื","ื ื™ื™ืจื•ืช ืขืจืš ืกื—ื™ืจื™ื ืœื–ืžืŸ ืงืฆืจ"],"currency":"ILS","scale":1000,"value_type":"amount"},{"value":"1361","note":null,"is_beur":null,"beur_num":null,"refference":"","date":"30.09.2020","path":["ื ื›ืกื™ื ืฉื•ื˜ืคื™ื","ืœืงื•ื—ื•ืช"],"currency":"ILS","scale":1000,"value_type":"amount"},{"value":"963","note":null,"is_beur":null,"beur_num":null,"refference":"","date":"30.09.2021","path":["ื ื›ืกื™ื ืฉื•ื˜ืคื™ื","ืœืงื•ื—ื•ืช"],"currency":"ILS","scale":1000,"value_type":"amount"},{"value":"12164","note":null,"is_beur":null,"beur_num":null,"refference":"6","date":"30.09.2021","path":["ื ื›ืกื™ื ืฉื•ื˜ืคื™ื","ื—ื™ื™ื‘ื™ื ื•ื™ืชืจื•ืช ื—ื•ื‘ื”"],"currency":"ILS","scale":1000,"value_type":"amount"},{"value":"11337","note":null,"is_beur":null,"beur_num":null,"refference":"6","date":"30.09.2020","path":["ื ื›ืกื™ื ืฉื•ื˜ืคื™ื","ื—ื™ื™ื‘ื™ื ื•ื™ืชืจื•ืช ื—ื•ื‘ื”"],"currency":"ILS","scale":1000,"value_type":"amount"},{"value":"26665","note":null,"is_beur":null,"beur_num":null,"refference":"","date":"30.09.2021","path":["ื ื›ืกื™ื ืฉื•ื˜ืคื™ื"],"currency":"ILS","scale":1000,"value_type":"amount"},{"value":"22789","note":null,"is_beur":null,"beur_num":null,"refference":"","date":"30.09.2020","path":["ื ื›ืกื™ื ืฉื•ื˜ืคื™ื"],"currency":"ILS","scale":1000,"value_type":"amount"},{"value":"2296","note":null,"is_beur":null,"beur_num":null,"refference":"","date":"30.09.2021","path":["ื ื›ืกื™ื ืœื ืฉื•ื˜ืคื™ื","ืžื–ื•ืžื ื™ื ื”ืžื™ื•ืขื“ื™ื ืœื›ื™ืกื•ื™ ืงืจื ื•ืช"],"currency":"ILS","scale":1000,"value_type":"amount"},{"value":"2123","note":null,"is_beur":null,"beur_num":null,"refference":"","date":"30.09.2020","path":["ื ื›ืกื™ื ืœื ืฉื•ื˜ืคื™ื","ืžื–ื•ืžื ื™ื ื”ืžื™ื•ืขื“ื™ื ืœื›ื™ืกื•ื™ ืงืจื ื•ืช"],"currency":"ILS","scale":1000,"value_type":"amount"},{"value":"23878","note":null,"is_beur":null,"beur_num":null,"refference":"12,5ื'","date":"30.09.2021","path":["ื ื›ืกื™ื ืœื ืฉื•ื˜ืคื™ื","ื ื™ื™ืจื•ืช ืขืจืš ืœื–ืžืŸ ืืจื•ืš ืžื™ื•ืขื“ื™ื"],"currency":"ILS","scale":1000,"value_type":"amount"},{"value":"20340","note":null,"is_beur":null,"beur_num":null,"refference":"12,5ื'","date":"30.09.2020","path":["ื ื›ืกื™ื ืœื ืฉื•ื˜ืคื™ื","ื ื™ื™ืจื•ืช ืขืจืš ืœื–ืžืŸ ืืจื•ืš ืžื™ื•ืขื“ื™ื"],"currency":"ILS","scale":1000,"value_type":"amount"},{"value":"3252","note":null,"is_beur":null,"beur_num":null,"refference":"13ื'","date":"30.09.2020","path":["ื ื›ืกื™ื ืœื ืฉื•ื˜ืคื™ื","ื”ื•ืฆืื•ืช ืžืจืืฉ"],"currency":"ILS","scale":1000,"value_type":"amount"},{"value":"3104","note":null,"is_beur":null,"beur_num":null,"refference":"13ื'","date":"30.09.2021","path":["ื ื›ืกื™ื ืœื ืฉื•ื˜ืคื™ื","ื”ื•ืฆืื•ืช ืžืจืืฉ"],"currency":"ILS","scale":1000,"value_type":"amount"},{"value":"44066","note":null,"is_beur":null,"beur_num":null,"refference":"7","date":"30.09.2020","path":["ื ื›ืกื™ื ืœื ืฉื•ื˜ืคื™ื","ืจื›ื•ืฉ ืงื‘ื•ืข, ื ื˜ื•"],"currency":"ILS","scale":1000,"value_type":"amount"},{"value":"42289","note":null,"is_beur":null,"beur_num":null,"refference":"7","date":"30.09.2021","path":["ื ื›ืกื™ื ืœื ืฉื•ื˜ืคื™ื","ืจื›ื•ืฉ ืงื‘ื•ืข, ื ื˜ื•"],"currency":"ILS","scale":1000,"value_type":"amount"},{"value":"75","note":null,"is_beur":null,"beur_num":null,"refference":"8","date":"30.09.2020","path":["ื ื›ืกื™ื ืœื ืฉื•ื˜ืคื™ื","ื ื›ืกื™ื ื‘ืœืชื™ ืžื•ื—ืฉื™ื™ื, ื ื˜ื•"],"currency":"ILS","scale":1000,"value_type":"amount"},{"value":"99","note":null,"is_beur":null,"beur_num":null,"refference":"8","date":"30.09.2021","path":["ื ื›ืกื™ื ืœื ืฉื•ื˜ืคื™ื","ื ื›ืกื™ื ื‘ืœืชื™ ืžื•ื—ืฉื™ื™ื, ื ื˜ื•"],"currency":"ILS","scale":1000,"value_type":"amount"},{"value":"69856","note":null,"is_beur":null,"beur_num":null,"refference":"","date":"30.09.2020","path":["ื ื›ืกื™ื ืœื ืฉื•ื˜ืคื™ื","ืกื”ืดื›"],"currency":"ILS","scale":1000,"value_type":"amount"},{"value":"71666","note":null,"is_beur":null,"beur_num":null,"refference":"","date":"30.09.2021","path":["ื ื›ืกื™ื ืœื ืฉื•ื˜ืคื™ื","ืกื”ืดื›"],"currency":"ILS","scale":1000,"value_type":"amount"},{"value":"92645","note":null,"is_beur":null,"beur_num":null,"refference":"","date":"30.09.2020","path":["ื ื›ืกื™ื","ืกื”ืดื›"],"currency":"ILS","scale":1000,"value_type":"amount"},{"value":"98331","note":null,"is_beur":null,"beur_num":null,"refference":"","date":"30.09.2021","path":["ื ื›ืกื™ื","ืกื”ืดื›"],"currency":"ILS","scale":1000,"value_type":"amount"}]}
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>", "note": "<string or null>", "is_beur": <true|false|null>, "beur_num": "<string or null>", "refference": "<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. `refference` is required string (keep exact misspelling). Use "" when missing. 3. `path` is required list of strings (use [] when unknown, never null). 4. `is_beur` must be boolean or null (never "true"/"false" strings). 5. Use JSON null literal for missing optional values (never "null" string). 6. Do not include any keys not listed above. Extraction rules: 1. Extract all visible numeric/table facts, including negatives in parentheses and totals. 2. Also extract placeholder values ("-", "โ€”", "โ€“", similar dashes) when they appear as actual cell values. 3. Keep `value` exactly as printed (commas, parentheses, percent sign, dash placeholders). 5. `note`: textual qualifier tied to the specific fact (for example `*without debt insurance`), else null. 6. `beur_num`: use when this fact belongs to data presented inside that beur section; else null. 7. `refference`: use when this fact points/references another beur; else "". 8. `currency`: infer from page/header context (for example "ืฉืงืœื™ื ื—ื“ืฉื™ื" -> "ILS"), else null. 9. `scale`: 1 unless page/header indicates thousands or millions. 10. `value_type`: "amount" unless the fact is a percentage ("%"). 11. `date`: map by column/year context when explicit and unambiguous; else null. 12. `meta.type`: use "profits" for "ื“ื•ื—ื•ืช ืขืœ ื”ืคืขื™ืœื•ื™ื•ืช"; otherwise choose the best enum value. 13. No duplicate facts. Order `facts` top-to-bottom, then left-to-right. 14. 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.
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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>", "note": "<string or null>", "is_beur": <true|false|null>, "beur_num": "<string or null>", "refference": "<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. `refference` is required string (keep exact misspelling). Use "" when missing. 3. `path` is required list of strings (use [] when unknown, never null). 4. `is_beur` must be boolean or null (never "true"/"false" strings). 5. Use JSON null literal for missing optional values (never "null" string). 6. Do not include any keys not listed above. Extraction rules: 1. Extract all visible numeric/table facts, including negatives in parentheses and totals. 2. Also extract placeholder values ("-", "โ€”", "โ€“", similar dashes) when they appear as actual cell values. 3. Keep `value` exactly as printed (commas, parentheses, percent sign, dash placeholders). 5. `note`: textual qualifier tied to the specific fact (for example `*without debt insurance`), else null. 6. `beur_num`: use when this fact belongs to data presented inside that beur section; else null. 7. `refference`: use when this fact points/references another beur; else "". 8. `currency`: infer from page/header context (for example "ืฉืงืœื™ื ื—ื“ืฉื™ื" -> "ILS"), else null. 9. `scale`: 1 unless page/header indicates thousands or millions. 10. `value_type`: "amount" unless the fact is a percentage ("%"). 11. `date`: map by column/year context when explicit and unambiguous; else null. 12. `meta.type`: use "profits" for "ื“ื•ื—ื•ืช ืขืœ ื”ืคืขื™ืœื•ื™ื•ืช"; otherwise choose the best enum value. 13. No duplicate facts. Order `facts` top-to-bottom, then left-to-right. 14. 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":"ืื•ืจื ื™ื - ื”ืžื›ืœืœื” ื”ืืงื“ืžื™ืช ืœื—ื™ื ื•ืš, ื”ืชื ื•ืขื” ื”ืงื™ื‘ื•ืฆื™ืช","page_num":"5","type":"profits","title":"ื“ื•ื—ื•ืช ืขืœ ื”ืคืขื™ืœื•ื™ื•ืช"},"facts":[{"value":"47121","note":null,"is_beur":null,"beur_num":null,"refference":"15","date":"30.09.2021","path":["ืžื—ื–ื•ืจ ื”ืคืขื™ืœื•ื™ื•ืช","ื”ื›ื ืกื•ืช ืžืกื˜ื•ื“ื ื˜ื™ื"],"currency":"ILS","scale":1000,"value_type":"amount"},{"value":"47463","note":null,"is_beur":null,"beur_num":null,"refference":"15","date":"30.09.2020","path":["ืžื—ื–ื•ืจ ื”ืคืขื™ืœื•ื™ื•ืช","ื”ื›ื ืกื•ืช ืžืกื˜ื•ื“ื ื˜ื™ื"],"currency":"ILS","scale":1000,"value_type":"amount"},{"value":"75887","note":"ื›ื•ืœืœ ื”ื›ื ืกื•ืช (ื”ื•ืฆืื•ืช) ื”ืชืงื‘ืœื•ืช (ื”ื ื™ืชื ื•ืช) ื™ืฉื™ืจื•ืช ืœืžื•ืจื™ื ืžืžืฉืจื“ ื”ื—ื™ื ื•ืš.","is_beur":null,"beur_num":null,"refference":"16","date":"30.09.2021","path":["ืžื—ื–ื•ืจ ื”ืคืขื™ืœื•ื™ื•ืช","ื”ืงืฆื‘ื•ืช ืžืžืฉืจื“ ื”ื—ื™ื ื•ืš ืœืฉื™ืžื•ืฉ ืœืคืขื™ืœื•ืช ื”ื•ืจืื” (ื)"],"currency":"ILS","scale":1000,"value_type":"amount"},{"value":"76814","note":"ื›ื•ืœืœ ื”ื›ื ืกื•ืช (ื”ื•ืฆืื•ืช) ื”ืชืงื‘ืœื•ืช (ื”ื ื™ืชื ื•ืช) ื™ืฉื™ืจื•ืช ืœืžื•ืจื™ื ืžืžืฉืจื“ ื”ื—ื™ื ื•ืš.","is_beur":null,"beur_num":null,"refference":"16","date":"30.09.2020","path":["ืžื—ื–ื•ืจ ื”ืคืขื™ืœื•ื™ื•ืช","ื”ืงืฆื‘ื•ืช ืžืžืฉืจื“ ื”ื—ื™ื ื•ืš ืœืฉื™ืžื•ืฉ ืœืคืขื™ืœื•ืช ื”ื•ืจืื” (ื)"],"currency":"ILS","scale":1000,"value_type":"amount"},{"value":"7213","note":null,"is_beur":null,"beur_num":null,"refference":"","date":"30.09.2021","path":["ืžื—ื–ื•ืจ ื”ืคืขื™ืœื•ื™ื•ืช","ื”ืงืฆื‘ื•ืช ืื—ืจื•ืช ืžืžืฉืจื“ื™ ืžืžืฉืœื”"],"currency":"ILS","scale":1000,"value_type":"amount"},{"value":"5289","note":null,"is_beur":null,"beur_num":null,"refference":"","date":"30.09.2020","path":["ืžื—ื–ื•ืจ ื”ืคืขื™ืœื•ื™ื•ืช","ื”ืงืฆื‘ื•ืช ืื—ืจื•ืช ืžืžืฉืจื“ื™ ืžืžืฉืœื”"],"currency":"ILS","scale":1000,"value_type":"amount"},{"value":"20081","note":"ื”ืขืžื•ืชื” ืœื ืงื™ื‘ืœื” ืชืจื•ืžื” ืžื™ืฉื•ืช ืžื“ื™ื ื™ืช ื–ืจื” ื›ืžืฉืžืขื•ืชื” ื‘ืกืขื™ืฃ 36ื‘ืณ ืœื—ื•ืง ื”ืขืžื•ืชื•ืช.","is_beur":null,"beur_num":null,"refference":"17","date":"30.09.2021","path":["ืžื—ื–ื•ืจ ื”ืคืขื™ืœื•ื™ื•ืช","ืชืจื•ืžื•ืช ื•ื”ืงืฆื‘ื•ืช (ื‘)"],"currency":"ILS","scale":1000,"value_type":"amount"},{"value":"19336","note":"ื”ืขืžื•ืชื” ืœื ืงื™ื‘ืœื” ืชืจื•ืžื” ืžื™ืฉื•ืช ืžื“ื™ื ื™ืช ื–ืจื” ื›ืžืฉืžืขื•ืชื” ื‘ืกืขื™ืฃ 36ื‘ืณ ืœื—ื•ืง ื”ืขืžื•ืชื•ืช.","is_beur":null,"beur_num":null,"refference":"17","date":"30.09.2020","path":["ืžื—ื–ื•ืจ ื”ืคืขื™ืœื•ื™ื•ืช","ืชืจื•ืžื•ืช ื•ื”ืงืฆื‘ื•ืช (ื‘)"],"currency":"ILS","scale":1000,"value_type":"amount"},{"value":"2288","note":null,"is_beur":null,"beur_num":null,"refference":"18","date":"30.09.2021","path":["ืžื—ื–ื•ืจ ื”ืคืขื™ืœื•ื™ื•ืช","ื”ื›ื ืกื•ืช ืฉื•ื ื•ืช"],"currency":"ILS","scale":1000,"value_type":"amount"},{"value":"2511","note":null,"is_beur":null,"beur_num":null,"refference":"18","date":"30.09.2020","path":["ืžื—ื–ื•ืจ 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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>", "note": "<string or null>", "is_beur": <true|false|null>, "beur_num": "<string or null>", "refference": "<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. `refference` is required string (keep exact misspelling). Use "" when missing. 3. `path` is required list of strings (use [] when unknown, never null). 4. `is_beur` must be boolean or null (never "true"/"false" strings). 5. Use JSON null literal for missing optional values (never "null" string). 6. Do not include any keys not listed above. Extraction rules: 1. Extract all visible numeric/table facts, including negatives in parentheses and totals. 2. Also extract placeholder values ("-", "โ€”", "โ€“", similar dashes) when they appear as actual cell values. 3. Keep `value` exactly as printed (commas, parentheses, percent sign, dash placeholders). 5. `note`: textual qualifier tied to the specific fact (for example `*without debt insurance`), else null. 6. `beur_num`: use when this fact belongs to data presented inside that beur section; else null. 7. `refference`: use when this fact points/references another beur; else "". 8. `currency`: infer from page/header context (for example "ืฉืงืœื™ื ื—ื“ืฉื™ื" -> "ILS"), else null. 9. `scale`: 1 unless page/header indicates thousands or millions. 10. `value_type`: "amount" unless the fact is a percentage ("%"). 11. `date`: map by column/year context when explicit and unambiguous; else null. 12. `meta.type`: use "profits" for "ื“ื•ื—ื•ืช ืขืœ ื”ืคืขื™ืœื•ื™ื•ืช"; otherwise choose the best enum value. 13. No duplicate facts. Order `facts` top-to-bottom, then left-to-right. 14. 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":"ืื•ืจื ื™ื - ื”ืžื›ืœืœื” ื”ืืงื“ืžื™ืช ืœื—ื™ื ื•ืš, ื”ืชื ื•ืขื” ื”ืงื™ื‘ื•ืฆื™ืช","page_num":"6","type":"profits","title":"ื“ื•ื— ืขืœ ื”ืฉื™ื ื•ื™ื™ื ื‘ื ื›ืกื™ื ื ื˜ื•"},"facts":[{"value":"44553","note":null,"is_beur":null,"beur_num":null,"refference":"","date":"01.10.2020","path":["ื™ืชืจื” ืœื™ื•ื 1 ื‘ืื•ืงื˜ื•ื‘ืจ, 2020","ืกืš ื”ื›ืœ"],"currency":"ILS","scale":1000,"value_type":"amount"},{"value":"135","note":null,"is_beur":null,"beur_num":null,"refference":"","date":"01.10.2020","path":["ื™ืชืจื” ืœื™ื•ื 1 ื‘ืื•ืงื˜ื•ื‘ืจ, 2020","ื ื›ืกื™ื ื ื˜ื• ืฉืงื™ื™ืžืช ืœื’ื‘ื™ื”ื ื”ื’ื‘ืœื”","ื‘ืขืœืช ืื•ืคื™ ืงื‘ื•ืข"],"currency":"ILS","scale":1000,"value_type":"amount"},{"value":"5164","note":null,"is_beur":null,"beur_num":null,"refference":"","date":"01.10.2020","path":["ื™ืชืจื” ืœื™ื•ื 1 ื‘ืื•ืงื˜ื•ื‘ืจ, 2020","ื ื›ืกื™ื ื ื˜ื• ืฉืงื™ื™ืžืช ืœื’ื‘ื™ื”ื ื”ื’ื‘ืœื”","ื‘ืขืœืช ืื•ืคื™ 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ื”ื›ืœ"],"currency":"ILS","scale":1000,"value_type":"amount"},{"value":"(5412)","note":null,"is_beur":null,"beur_num":null,"refference":"","date":"30.09.2021","path":["ื”ืขื‘ืจืช ืกื›ื•ืžื™ื ืฉืœื ืงื™ื™ืžืช ืœื’ื‘ื™ื”ื ื”ื’ื‘ืœื”","ืกื›ื•ืžื™ื ืฉื”ื•ืขื‘ืจื• ืœื›ื™ืกื•ื™ ื”ื•ืฆืื•ืช ืคื—ืช","ื ื›ืกื™ื ื ื˜ื• ืฉืœื ืงื™ื™ืžืช ืœื’ื‘ื™ื”ื ื”ื’ื‘ืœื” (ื’ื™ืจืขื•ืŸ ืžืฆื˜ื‘ืจ ืžืคืขื™ืœื•ื™ื•ืช)","ืฉืฉื™ืžืฉื• ืœืจื›ื•ืฉ ืงื‘ื•ืข ื•ื ื›ืกื™ื ื‘ืœืชื™ ืžื•ื—ืฉื™ื™ื"],"currency":"ILS","scale":1000,"value_type":"amount"},{"value":"5412","note":null,"is_beur":null,"beur_num":null,"refference":"","date":"30.09.2021","path":["ื”ืขื‘ืจืช ืกื›ื•ืžื™ื ืฉืœื ืงื™ื™ืžืช ืœื’ื‘ื™ื”ื ื”ื’ื‘ืœื”","ืกื›ื•ืžื™ื ืฉื”ื•ืขื‘ืจื• ืœื›ื™ืกื•ื™ ื”ื•ืฆืื•ืช ืคื—ืช","ื ื›ืกื™ื ื ื˜ื• ืฉืœื ืงื™ื™ืžืช ืœื’ื‘ื™ื”ื ื”ื’ื‘ืœื” (ื’ื™ืจืขื•ืŸ ืžืฆื˜ื‘ืจ ืžืคืขื™ืœื•ื™ื•ืช)","ืœืฉืžื•ืฉ ืœืคืขื™ืœื•ื™ื•ืช"],"currency":"ILS","scale":1000,"value_type":"amount"},{"value":"-","note":null,"is_beur":null,"beur_num":null,"refference":"","date":"30.09.2021","path":["ื”ืขื‘ืจืช ืกื›ื•ืžื™ื ืฉืœื ืงื™ื™ืžืช ืœื’ื‘ื™ื”ื ื”ื’ื‘ืœื”","ืกื›ื•ืžื™ื ืฉื”ื•ืขื‘ืจื• ืœื›ื™ืกื•ื™ ื”ื•ืฆืื•ืช ืคื—ืช","ื ื›ืกื™ื ื ื˜ื• ืฉืงื™ื™ืžืช ืœื’ื‘ื™ื”ื ื”ื’ื‘ืœื”","ื‘ืขืœืช ืื•ืคื™ ืงื‘ื•ืข"],"currency":"ILS","scale":1000,"value_type":"amount"},{"value":"-","note":null,"is_beur":null,"beur_num":null,"refference":"","date":"30.09.2021","path":["ื”ืขื‘ืจืช ืกื›ื•ืžื™ื ืฉืœื ืงื™ื™ืžืช ืœื’ื‘ื™ื”ื ื”ื’ื‘ืœื”","ืกื›ื•ืžื™ื ืฉื”ื•ืขื‘ืจื• ืœื›ื™ืกื•ื™ ื”ื•ืฆืื•ืช ืคื—ืช","ื ื›ืกื™ื ื ื˜ื• ืฉืงื™ื™ืžืช ืœื’ื‘ื™ื”ื ื”ื’ื‘ืœื”","ื‘ืขืœืช ืื•ืคื™ ื–ืžื ื™"],"currency":"ILS","scale":1000,"value_type":"amount"},{"value":"49111","note":null,"is_beur":null,"beur_num":null,"refference":"","date":"30.09.2021","path":["ื™ืชืจื” ืœื™ื•ื 30 ื‘ืกืคื˜ืžื‘ืจ, 2021","ืกืš 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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>", "note": "<string or null>", "is_beur": <true|false|null>, "beur_num": "<string or null>", "refference": "<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. `refference` is required string (keep exact misspelling). Use "" when missing. 3. `path` is required list of strings (use [] when unknown, never null). 4. `is_beur` must be boolean or null (never "true"/"false" strings). 5. Use JSON null literal for missing optional values (never "null" string). 6. Do not include any keys not listed above. Extraction rules: 1. Extract all visible numeric/table facts, including negatives in parentheses and totals. 2. Also extract placeholder values ("-", "โ€”", "โ€“", similar dashes) when they appear as actual cell values. 3. Keep `value` exactly as printed (commas, parentheses, percent sign, dash placeholders). 5. `note`: textual qualifier tied to the specific fact (for example `*without debt insurance`), else null. 6. `beur_num`: use when this fact belongs to data presented inside that beur section; else null. 7. `refference`: use when this fact points/references another beur; else "". 8. `currency`: infer from page/header context (for example "ืฉืงืœื™ื ื—ื“ืฉื™ื" -> "ILS"), else null. 9. `scale`: 1 unless page/header indicates thousands or millions. 10. `value_type`: "amount" unless the fact is a percentage ("%"). 11. `date`: map by column/year context when explicit and unambiguous; else null. 12. `meta.type`: use "profits" for "ื“ื•ื—ื•ืช ืขืœ ื”ืคืขื™ืœื•ื™ื•ืช"; otherwise choose the best enum value. 13. No duplicate facts. Order `facts` top-to-bottom, then left-to-right. 14. 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.
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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>", "note": "<string or null>", "is_beur": <true|false|null>, "beur_num": "<string or null>", "refference": "<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. `refference` is required string (keep exact misspelling). Use "" when missing. 3. `path` is required list of strings (use [] when unknown, never null). 4. `is_beur` must be boolean or null (never "true"/"false" strings). 5. Use JSON null literal for missing optional values (never "null" string). 6. Do not include any keys not listed above. Extraction rules: 1. Extract all visible numeric/table facts, including negatives in parentheses and totals. 2. Also extract placeholder values ("-", "โ€”", "โ€“", similar dashes) when they appear as actual cell values. 3. Keep `value` exactly as printed (commas, parentheses, percent sign, dash placeholders). 5. `note`: textual qualifier tied to the specific fact (for example `*without debt insurance`), else null. 6. `beur_num`: use when this fact belongs to data presented inside that beur section; else null. 7. `refference`: use when this fact points/references another beur; else "". 8. `currency`: infer from page/header context (for example "ืฉืงืœื™ื ื—ื“ืฉื™ื" -> "ILS"), else null. 9. `scale`: 1 unless page/header indicates thousands or millions. 10. `value_type`: "amount" unless the fact is a percentage ("%"). 11. `date`: map by column/year context when explicit and unambiguous; else null. 12. `meta.type`: use "profits" for "ื“ื•ื—ื•ืช ืขืœ ื”ืคืขื™ืœื•ื™ื•ืช"; otherwise choose the best enum value. 13. No duplicate facts. Order `facts` top-to-bottom, then left-to-right. 14. 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.
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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>", "note": "<string or null>", "is_beur": <true|false|null>, "beur_num": "<string or null>", "refference": "<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. `refference` is required string (keep exact misspelling). Use "" when missing. 3. `path` is required list of strings (use [] when unknown, never null). 4. `is_beur` must be boolean or null (never "true"/"false" strings). 5. Use JSON null literal for missing optional values (never "null" string). 6. Do not include any keys not listed above. Extraction rules: 1. Extract all visible numeric/table facts, including negatives in parentheses and totals. 2. Also extract placeholder values ("-", "โ€”", "โ€“", similar dashes) when they appear as actual cell values. 3. Keep `value` exactly as printed (commas, parentheses, percent sign, dash placeholders). 5. `note`: textual qualifier tied to the specific fact (for example `*without debt insurance`), else null. 6. `beur_num`: use when this fact belongs to data presented inside that beur section; else null. 7. `refference`: use when this fact points/references another beur; else "". 8. `currency`: infer from page/header context (for example "ืฉืงืœื™ื ื—ื“ืฉื™ื" -> "ILS"), else null. 9. `scale`: 1 unless page/header indicates thousands or millions. 10. `value_type`: "amount" unless the fact is a percentage ("%"). 11. `date`: map by column/year context when explicit and unambiguous; else null. 12. `meta.type`: use "profits" for "ื“ื•ื—ื•ืช ืขืœ ื”ืคืขื™ืœื•ื™ื•ืช"; otherwise choose the best enum value. 13. No duplicate facts. Order `facts` top-to-bottom, then left-to-right. 14. 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":"ืื•ืจื ื™ื - ื”ืžื›ืœืœื” ื”ืืงื“ืžื™ืช ืœื—ื™ื ื•ืš, ื”ืชื ื•ืขื” ื”ืงื™ื‘ื•ืฆื™ืช","page_num":"9","type":"cash_flow","title":"ื“ื•ื—ื•ืช ืขืœ ืชื–ืจื™ืžื™ ื”ืžื–ื•ืžื ื™ื"},"facts":[{"value":"(3737)","note":null,"is_beur":null,"beur_num":null,"refference":"","date":"30.09.2020","path":["(ื) ื”ืชืืžื•ืช ื”ื“ืจื•ืฉื•ืช ื›ื“ื™ ืœื”ืฆื™ื’ ืืช ืชื–ืจื™ืžื™ ื”ืžื–ื•ืžื ื™ื ืžืคืขื™ืœื•ืช ืฉื•ื˜ืคืช:","ื”ื•ืฆืื•ืช (ื”ื›ื ืกื•ืช) ืฉืื™ื ืŸ ื›ืจื•ื›ื•ืช ื‘ืชื–ืจื™ืžื™ ืžื–ื•ืžื ื™ื:","ืกื›ื•ืžื™ื ืฉืฉื•ื—ืจืจื• ืžื ื›ืกื™ื ื ื˜ื• ืฉืงื™ื™ืžืช ืœื’ื‘ื™ื”ื ื”ื’ื‘ืœื” ื‘ืขืœืช ืื•ืคื™ ื–ืžื ื™"],"currency":"ILS","scale":1000,"value_type":"amount"},{"value":"(2978)","note":null,"is_beur":null,"beur_num":null,"refference":"","date":"30.09.2021","path":["(ื) ื”ืชืืžื•ืช ื”ื“ืจื•ืฉื•ืช ื›ื“ื™ ืœื”ืฆื™ื’ ืืช ืชื–ืจื™ืžื™ ื”ืžื–ื•ืžื ื™ื ืžืคืขื™ืœื•ืช ืฉื•ื˜ืคืช:","ื”ื•ืฆืื•ืช (ื”ื›ื ืกื•ืช) ืฉืื™ื ืŸ ื›ืจื•ื›ื•ืช ื‘ืชื–ืจื™ืžื™ ืžื–ื•ืžื ื™ื:","ืกื›ื•ืžื™ื ืฉืฉื•ื—ืจืจื• ืžื ื›ืกื™ื ื ื˜ื• ืฉืงื™ื™ืžืช ืœื’ื‘ื™ื”ื ื”ื’ื‘ืœื” ื‘ืขืœืช ืื•ืคื™ ื–ืžื ื™"],"currency":"ILS","scale":1000,"value_type":"amount"},{"value":"(10)","note":null,"is_beur":null,"beur_num":null,"refference":"","date":"30.09.2020","path":["(ื) ื”ืชืืžื•ืช ื”ื“ืจื•ืฉื•ืช ื›ื“ื™ ืœื”ืฆื™ื’ ืืช ืชื–ืจื™ืžื™ ื”ืžื–ื•ืžื ื™ื ืžืคืขื™ืœื•ืช ืฉื•ื˜ืคืช:","ื”ื•ืฆืื•ืช (ื”ื›ื ืกื•ืช) ืฉืื™ื ืŸ ื›ืจื•ื›ื•ืช ื‘ืชื–ืจื™ืžื™ ืžื–ื•ืžื ื™ื:","ืกื›ื•ืžื™ื ืฉืฉื•ื—ืจืจื• ืžื ื›ืกื™ื ื ื˜ื• ืฉืงื™ื™ืžืช ืœื’ื‘ื™ื”ื ื”ื’ื‘ืœื” ื‘ืขืœืช ืื•ืคื™ ืงื‘ื•ืข"],"currency":"ILS","scale":1000,"value_type":"amount"},{"value":"(118)","note":null,"is_beur":null,"beur_num":null,"refference":"","date":"30.09.2021","path":["(ื) ื”ืชืืžื•ืช ื”ื“ืจื•ืฉื•ืช ื›ื“ื™ ืœื”ืฆื™ื’ ืืช ืชื–ืจื™ืžื™ ื”ืžื–ื•ืžื ื™ื ืžืคืขื™ืœื•ืช ืฉื•ื˜ืคืช:","ื”ื•ืฆืื•ืช (ื”ื›ื ืกื•ืช) ืฉืื™ื ืŸ ื›ืจื•ื›ื•ืช ื‘ืชื–ืจื™ืžื™ ืžื–ื•ืžื ื™ื:","ืกื›ื•ืžื™ื ืฉืฉื•ื—ืจืจื• ืžื ื›ืกื™ื ื ื˜ื• ืฉืงื™ื™ืžืช ืœื’ื‘ื™ื”ื ื”ื’ื‘ืœื” ื‘ืขืœืช ืื•ืคื™ ืงื‘ื•ืข"],"currency":"ILS","scale":1000,"value_type":"amount"},{"value":"(1686)","note":null,"is_beur":null,"beur_num":null,"refference":"","date":"30.09.2021","path":["(ื) ื”ืชืืžื•ืช ื”ื“ืจื•ืฉื•ืช ื›ื“ื™ ืœื”ืฆื™ื’ ืืช ืชื–ืจื™ืžื™ ื”ืžื–ื•ืžื ื™ื ืžืคืขื™ืœื•ืช ืฉื•ื˜ืคืช:","ื”ื•ืฆืื•ืช (ื”ื›ื ืกื•ืช) ืฉืื™ื ืŸ ื›ืจื•ื›ื•ืช ื‘ืชื–ืจื™ืžื™ ืžื–ื•ืžื ื™ื:","ืฉืขืจื•ืš ื”ืฉืงืขื•ืช ื‘ื ื™ื™ืจื•ืช ืขืจืš"],"currency":"ILS","scale":1000,"value_type":"amount"},{"value":"285","note":null,"is_beur":null,"beur_num":null,"refference":"","date":"30.09.2020","path":["(ื) ื”ืชืืžื•ืช ื”ื“ืจื•ืฉื•ืช ื›ื“ื™ ืœื”ืฆื™ื’ ืืช ืชื–ืจื™ืžื™ ื”ืžื–ื•ืžื ื™ื ืžืคืขื™ืœื•ืช ืฉื•ื˜ืคืช:","ื”ื•ืฆืื•ืช (ื”ื›ื ืกื•ืช) ืฉืื™ื ืŸ ื›ืจื•ื›ื•ืช ื‘ืชื–ืจื™ืžื™ ืžื–ื•ืžื ื™ื:","ืฉืขืจื•ืš ื”ืฉืงืขื•ืช ื‘ื ื™ื™ืจื•ืช ืขืจืš"],"currency":"ILS","scale":1000,"value_type":"amount"},{"value":"(137)","note":null,"is_beur":null,"beur_num":null,"refference":"","date":"30.09.2020","path":["(ื) ื”ืชืืžื•ืช ื”ื“ืจื•ืฉื•ืช ื›ื“ื™ ืœื”ืฆื™ื’ ืืช ืชื–ืจื™ืžื™ ื”ืžื–ื•ืžื ื™ื ืžืคืขื™ืœื•ืช ืฉื•ื˜ืคืช:","ื”ื•ืฆืื•ืช (ื”ื›ื ืกื•ืช) ืฉืื™ื ืŸ ื›ืจื•ื›ื•ืช ื‘ืชื–ืจื™ืžื™ ืžื–ื•ืžื ื™ื:","ืขืœื™ื™ื” ื‘ื”ืชื—ื™ื™ื‘ื•ื™ื•ืช ื‘ื’ื™ืŸ ื–ื›ื•ื™ื•ืช ืขื•ื‘ื“ื™ื"],"currency":"ILS","scale":1000,"value_type":"amount"},{"value":"(638)","note":null,"is_beur":null,"beur_num":null,"refference":"","date":"30.09.2021","path":["(ื) ื”ืชืืžื•ืช ื”ื“ืจื•ืฉื•ืช ื›ื“ื™ ืœื”ืฆื™ื’ ืืช ืชื–ืจื™ืžื™ ื”ืžื–ื•ืžื ื™ื ืžืคืขื™ืœื•ืช ืฉื•ื˜ืคืช:","ื”ื•ืฆืื•ืช (ื”ื›ื ืกื•ืช) ืฉืื™ื ืŸ ื›ืจื•ื›ื•ืช ื‘ืชื–ืจื™ืžื™ ืžื–ื•ืžื ื™ื:","ืขืœื™ื™ื” ื‘ื”ืชื—ื™ื™ื‘ื•ื™ื•ืช ื‘ื’ื™ืŸ ื–ื›ื•ื™ื•ืช 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ื›ื“ื™ ืœื”ืฆื™ื’ ืืช ืชื–ืจื™ืžื™ ื”ืžื–ื•ืžื ื™ื ืžืคืขื™ืœื•ืช ืฉื•ื˜ืคืช:","ืฉื™ื ื•ื™ื™ื ื‘ืกืขื™ืคื™ ืจื›ื•ืฉ ื•ื”ืชื—ื™ื™ื‘ื•ื™ื•ืช:"],"currency":"ILS","scale":1000,"value_type":"amount"},{"value":"1078","note":null,"is_beur":null,"beur_num":null,"refference":"","date":"30.09.2020","path":["(ื) ื”ืชืืžื•ืช ื”ื“ืจื•ืฉื•ืช ื›ื“ื™ ืœื”ืฆื™ื’ ืืช ืชื–ืจื™ืžื™ ื”ืžื–ื•ืžื ื™ื ืžืคืขื™ืœื•ืช ืฉื•ื˜ืคืช:"],"currency":"ILS","scale":1000,"value_type":"amount"},{"value":"139","note":null,"is_beur":null,"beur_num":null,"refference":"","date":"30.09.2021","path":["(ื) ื”ืชืืžื•ืช ื”ื“ืจื•ืฉื•ืช ื›ื“ื™ ืœื”ืฆื™ื’ ืืช ืชื–ืจื™ืžื™ ื”ืžื–ื•ืžื ื™ื ืžืคืขื™ืœื•ืช ืฉื•ื˜ืคืช:"],"currency":"ILS","scale":1000,"value_type":"amount"}]}
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>", "note": "<string or null>", "is_beur": <true|false|null>, "beur_num": "<string or null>", "refference": "<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. `refference` is required string (keep exact misspelling). Use "" when missing. 3. `path` is required list of strings (use [] when unknown, never null). 4. `is_beur` must be boolean or null (never "true"/"false" strings). 5. Use JSON null literal for missing optional values (never "null" string). 6. Do not include any keys not listed above. Extraction rules: 1. Extract all visible numeric/table facts, including negatives in parentheses and totals. 2. Also extract placeholder values ("-", "โ€”", "โ€“", similar dashes) when they appear as actual cell values. 3. Keep `value` exactly as printed (commas, parentheses, percent sign, dash placeholders). 5. `note`: textual qualifier tied to the specific fact (for example `*without debt insurance`), else null. 6. `beur_num`: use when this fact belongs to data presented inside that beur section; else null. 7. `refference`: use when this fact points/references another beur; else "". 8. `currency`: infer from page/header context (for example "ืฉืงืœื™ื ื—ื“ืฉื™ื" -> "ILS"), else null. 9. `scale`: 1 unless page/header indicates thousands or millions. 10. `value_type`: "amount" unless the fact is a percentage ("%"). 11. `date`: map by column/year context when explicit and unambiguous; else null. 12. `meta.type`: use "profits" for "ื“ื•ื—ื•ืช ืขืœ ื”ืคืขื™ืœื•ื™ื•ืช"; otherwise choose the best enum value. 13. No duplicate facts. Order `facts` top-to-bottom, then left-to-right. 14. 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":"ืื•ืจื ื™ื - ื”ืžื›ืœืœื” ื”ืืงื“ืžื™ืช ืœื—ื™ื ื•ืš, ื”ืชื ื•ืขื” ื”ืงื™ื‘ื•ืฆื™ืช","page_num":"10","type":"notes","title":"ื‘ืื•ืจื™ื ืœื“ื•ื—ื•ืช ื”ื›ืกืคื™ื™ื"},"facts":[]}
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>", "note": "<string or null>", "is_beur": <true|false|null>, "beur_num": "<string or null>", "refference": "<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. `refference` is required string (keep exact misspelling). Use "" when missing. 3. `path` is required list of strings (use [] when unknown, never null). 4. `is_beur` must be boolean or null (never "true"/"false" strings). 5. Use JSON null literal for missing optional values (never "null" string). 6. Do not include any keys not listed above. Extraction rules: 1. Extract all visible numeric/table facts, including negatives in parentheses and totals. 2. Also extract placeholder values ("-", "โ€”", "โ€“", similar dashes) when they appear as actual cell values. 3. Keep `value` exactly as printed (commas, parentheses, percent sign, dash placeholders). 5. `note`: textual qualifier tied to the specific fact (for example `*without debt insurance`), else null. 6. `beur_num`: use when this fact belongs to data presented inside that beur section; else null. 7. `refference`: use when this fact points/references another beur; else "". 8. `currency`: infer from page/header context (for example "ืฉืงืœื™ื ื—ื“ืฉื™ื" -> "ILS"), else null. 9. `scale`: 1 unless page/header indicates thousands or millions. 10. `value_type`: "amount" unless the fact is a percentage ("%"). 11. `date`: map by column/year context when explicit and unambiguous; else null. 12. `meta.type`: use "profits" for "ื“ื•ื—ื•ืช ืขืœ ื”ืคืขื™ืœื•ื™ื•ืช"; otherwise choose the best enum value. 13. No duplicate facts. Order `facts` top-to-bottom, then left-to-right. 14. 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":"ืื•ืจื ื™ื - ื”ืžื›ืœืœื” ื”ืืงื“ืžื™ืช ืœื—ื™ื ื•ืš, ื”ืชื ื•ืขื” ื”ืงื™ื‘ื•ืฆื™ืช","page_num":"11","type":"other","title":"ื‘ืื•ืจื™ื ืœื“ื•ื—ื•ืช ื”ื›ืกืคื™ื™ื"},"facts":[]}
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>", "note": "<string or null>", "is_beur": <true|false|null>, "beur_num": "<string or null>", "refference": "<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. `refference` is required string (keep exact misspelling). Use "" when missing. 3. `path` is required list of strings (use [] when unknown, never null). 4. `is_beur` must be boolean or null (never "true"/"false" strings). 5. Use JSON null literal for missing optional values (never "null" string). 6. Do not include any keys not listed above. Extraction rules: 1. Extract all visible numeric/table facts, including negatives in parentheses and totals. 2. Also extract placeholder values ("-", "โ€”", "โ€“", similar dashes) when they appear as actual cell values. 3. Keep `value` exactly as printed (commas, parentheses, percent sign, dash placeholders). 5. `note`: textual qualifier tied to the specific fact (for example `*without debt insurance`), else null. 6. `beur_num`: use when this fact belongs to data presented inside that beur section; else null. 7. `refference`: use when this fact points/references another beur; else "". 8. `currency`: infer from page/header context (for example "ืฉืงืœื™ื ื—ื“ืฉื™ื" -> "ILS"), else null. 9. `scale`: 1 unless page/header indicates thousands or millions. 10. `value_type`: "amount" unless the fact is a percentage ("%"). 11. `date`: map by column/year context when explicit and unambiguous; else null. 12. `meta.type`: use "profits" for "ื“ื•ื—ื•ืช ืขืœ ื”ืคืขื™ืœื•ื™ื•ืช"; otherwise choose the best enum value. 13. No duplicate facts. Order `facts` top-to-bottom, then left-to-right. 14. 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":"ืื•ืจื ื™ื - ื”ืžื›ืœืœื” ื”ืืงื“ืžื™ืช ืœื—ื™ื ื•ืš, ื”ืชื ื•ืขื” ื”ืงื™ื‘ื•ืฆื™ืช","page_num":"12","type":"notes","title":"ื‘ืื•ืจื™ื ืœื“ื•ื—ื•ืช ื”ื›ืกืคื™ื™ื"},"facts":[{"value":"4","note":null,"is_beur":null,"beur_num":null,"refference":"","date":null,"path":["ื‘ืื•ืจ 2: ืขื™ืงืจื™ ื”ืžื“ื™ื ื™ื•ืช ื”ื—ืฉื‘ื•ื ืื™ืช - ื”ืžืฉืš","ื•. ืจื›ื•ืฉ ืงื‘ื•ืข","2. ื”ืคื—ืช ืžื—ื•ืฉื‘ ื‘ืฉื™ืขื•ืจื™ื ืฉื ืชื™ื™ื ืฉื•ื•ื™ื ืขืœ ื‘ืกื™ืก ืฉื™ื˜ืช ื”ืงื• ื”ื™ืฉืจ ืœืื•ืจืš ืชืงื•ืคืช ื”ื—ื™ื™ื ื”ืฉื™ืžื•ืฉื™ื™ื ื‘ื ื›ืก, ื›ื“ืœืงืžืŸ:","ืžื‘ื ื™ื ืขืœ ืงืจืงืข ื—ื›ื•ืจื”"],"currency":null,"scale":1,"value_type":"%"},{"value":"7-15","note":null,"is_beur":null,"beur_num":null,"refference":"","date":null,"path":["ื‘ืื•ืจ 2: ืขื™ืงืจื™ ื”ืžื“ื™ื ื™ื•ืช ื”ื—ืฉื‘ื•ื ืื™ืช - ื”ืžืฉืš","ื•. ืจื›ื•ืฉ ืงื‘ื•ืข","2. ื”ืคื—ืช ืžื—ื•ืฉื‘ ื‘ืฉื™ืขื•ืจื™ื ืฉื ืชื™ื™ื ืฉื•ื•ื™ื ืขืœ ื‘ืกื™ืก ืฉื™ื˜ืช ื”ืงื• ื”ื™ืฉืจ ืœืื•ืจืš ืชืงื•ืคืช ื”ื—ื™ื™ื ื”ืฉื™ืžื•ืฉื™ื™ื ื‘ื ื›ืก, ื›ื“ืœืงืžืŸ:","ืจื™ื”ื•ื˜ ื•ืฆื™ื•ื“ ืžืฉืจื“ื™"],"currency":null,"scale":1,"value_type":"%"},{"value":"15","note":null,"is_beur":null,"beur_num":null,"refference":"","date":null,"path":["ื‘ืื•ืจ 2: ืขื™ืงืจื™ ื”ืžื“ื™ื ื™ื•ืช ื”ื—ืฉื‘ื•ื ืื™ืช - ื”ืžืฉืš","ื•. ืจื›ื•ืฉ ืงื‘ื•ืข","2. ื”ืคื—ืช ืžื—ื•ืฉื‘ ื‘ืฉื™ืขื•ืจื™ื ืฉื ืชื™ื™ื ืฉื•ื•ื™ื ืขืœ ื‘ืกื™ืก ืฉื™ื˜ืช ื”ืงื• ื”ื™ืฉืจ ืœืื•ืจืš ืชืงื•ืคืช ื”ื—ื™ื™ื ื”ืฉื™ืžื•ืฉื™ื™ื ื‘ื ื›ืก, ื›ื“ืœืงืžืŸ:","ื›ืœื™ ืจื›ื‘"],"currency":null,"scale":1,"value_type":"%"},{"value":"33","note":null,"is_beur":null,"beur_num":null,"refference":"","date":null,"path":["ื‘ืื•ืจ 2: ืขื™ืงืจื™ ื”ืžื“ื™ื ื™ื•ืช ื”ื—ืฉื‘ื•ื ืื™ืช - ื”ืžืฉืš","ื•. ืจื›ื•ืฉ ืงื‘ื•ืข","2. ื”ืคื—ืช ืžื—ื•ืฉื‘ ื‘ืฉื™ืขื•ืจื™ื ืฉื ืชื™ื™ื ืฉื•ื•ื™ื ืขืœ ื‘ืกื™ืก ืฉื™ื˜ืช ื”ืงื• ื”ื™ืฉืจ ืœืื•ืจืš ืชืงื•ืคืช ื”ื—ื™ื™ื ื”ืฉื™ืžื•ืฉื™ื™ื ื‘ื ื›ืก, ื›ื“ืœืงืžืŸ:","ืžื—ืฉื‘ื™ื"],"currency":null,"scale":1,"value_type":"%"},{"value":"33","note":null,"is_beur":null,"beur_num":null,"refference":"","date":null,"path":["ื‘ืื•ืจ 2: ืขื™ืงืจื™ ื”ืžื“ื™ื ื™ื•ืช ื”ื—ืฉื‘ื•ื ืื™ืช - ื”ืžืฉืš","ื–. ื ื›ืกื™ื ื‘ืœืชื™ ืžื•ื—ืฉื™ื™ื","ืื•ืจืš ื”ื—ื™ื™ื ื”ืฉื™ืžื•ืฉื™ื™ื ืฉืœ ื ื›ืกื™ื ื‘ืœืชื™ ืžื•ื—ืฉื™ื™ื ื”ื™ื ื• ื›ื“ืœืงืžืŸ:","ืชื•ื›ื ื•ืช ืžื—ืฉื‘"],"currency":null,"scale":1,"value_type":"%"}]}
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