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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":"\"ื”ืžืขื™ื™ืŸ\" ืงืจืŸ ืžืœื’ื•ืช ืœืžื—ื•ื ื ื™ื (ืข\"ืจ)","page_num":"1","type":"contents_page","title":"ื”ืชื•ื›ืŸ"},"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":"\"ื”ืžืขื™ื™ืŸ\" ืงืจืŸ ืžืœื’ื•ืช ืœืžื—ื•ื ื ื™ื (ืข\"ืจ)","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":"\"ื”ืžืขื™ื™ืŸ\" ืงืจืŸ ืžืœื’ื•ืช ืœืžื—ื•ื ื ื™ื (ืข\"ืจ)","page_num":"3","type":"balance_sheet","title":"ื“ื•ื—ื•ืช ืขืœ ื”ืžืฆื‘ ื”ื›ืกืคื™"},"facts":[{"value":"851625","note":null,"is_beur":null,"beur_num":null,"refference":"","date":"31.12.2023","path":["ืจื›ื•ืฉ","ืจื›ื•ืฉ ืฉื•ื˜ืฃ","ืžื–ื•ืžื ื™ื ื•ืฉื•ื•ื” ืžื–ื•ืžื ื™ื"],"currency":"ILS","scale":1,"value_type":"amount"},{"value":"745384","note":null,"is_beur":null,"beur_num":null,"refference":"","date":"31.12.2024","path":["ืจื›ื•ืฉ","ืจื›ื•ืฉ ืฉื•ื˜ืฃ","ืžื–ื•ืžื ื™ื ื•ืฉื•ื•ื” ืžื–ื•ืžื ื™ื"],"currency":"ILS","scale":1,"value_type":"amount"},{"value":"537962","note":null,"is_beur":null,"beur_num":null,"refference":"","date":"31.12.2023","path":["ืจื›ื•ืฉ","ืจื›ื•ืฉ ืฉื•ื˜ืฃ","ื”ืฉืงืขื•ืช ื‘ื ื™ื™ืจื•ืช ืขืจืš"],"currency":"ILS","scale":1,"value_type":"amount"},{"value":"322816","note":null,"is_beur":null,"beur_num":null,"refference":"","date":"31.12.2024","path":["ืจื›ื•ืฉ","ืจื›ื•ืฉ ืฉื•ื˜ืฃ","ื”ืฉืงืขื•ืช ื‘ื ื™ื™ืจื•ืช ืขืจืš"],"currency":"ILS","scale":1,"value_type":"amount"},{"value":"6644","note":null,"is_beur":null,"beur_num":null,"refference":"","date":"31.12.2024","path":["ืจื›ื•ืฉ","ืจื›ื•ืฉ ืฉื•ื˜ืฃ","ื—ื™ื™ื‘ื™ื ื•ื™ืชืจื•ืช ื—ื•ื‘ื”"],"currency":"ILS","scale":1,"value_type":"amount"},{"value":"-","note":null,"is_beur":null,"beur_num":null,"refference":"","date":"31.12.2023","path":["ืจื›ื•ืฉ","ืจื›ื•ืฉ ืฉื•ื˜ืฃ","ื—ื™ื™ื‘ื™ื ื•ื™ืชืจื•ืช ื—ื•ื‘ื”"],"currency":"ILS","scale":1,"value_type":"amount"},{"value":"1074844","note":null,"is_beur":null,"beur_num":null,"refference":"","date":"31.12.2024","path":["ืจื›ื•ืฉ","ืจื›ื•ืฉ ืฉื•ื˜ืฃ"],"currency":"ILS","scale":1,"value_type":"amount"},{"value":"1389587","note":null,"is_beur":null,"beur_num":null,"refference":"","date":"31.12.2023","path":["ืจื›ื•ืฉ","ืจื›ื•ืฉ ืฉื•ื˜ืฃ"],"currency":"ILS","scale":1,"value_type":"amount"},{"value":"7016757","note":null,"is_beur":null,"beur_num":null,"refference":"3","date":"31.12.2023","path":["ืจื›ื•ืฉ","ื”ืฉืงืขื•ืช","ืคืงื“ื•ื ื•ืช ื‘ื‘ื ืงื™ื"],"currency":"ILS","scale":1,"value_type":"amount"},{"value":"40006913","note":null,"is_beur":null,"beur_num":null,"refference":"3","date":"31.12.2024","path":["ืจื›ื•ืฉ","ื”ืฉืงืขื•ืช","ืคืงื“ื•ื ื•ืช ื‘ื‘ื ืงื™ื"],"currency":"ILS","scale":1,"value_type":"amount"},{"value":"810066","note":null,"is_beur":null,"beur_num":null,"refference":"4","date":"31.12.2023","path":["ืจื›ื•ืฉ","ืจื›ื•ืฉ ืงื‘ื•ืข"],"currency":"ILS","scale":1,"value_type":"amount"},{"value":"1642248","note":null,"is_beur":null,"beur_num":null,"refference":"4","date":"31.12.2024","path":["ืจื›ื•ืฉ","ืจื›ื•ืฉ ืงื‘ื•ืข"],"currency":"ILS","scale":1,"value_type":"amount"},{"value":"9216410","note":null,"is_beur":null,"beur_num":null,"refference":"","date":"31.12.2023","path":["ืจื›ื•ืฉ"],"currency":"ILS","scale":1,"value_type":"amount"},{"value":"42724005","note":null,"is_beur":null,"beur_num":null,"refference":"","date":"31.12.2024","path":["ืจื›ื•ืฉ"],"currency":"ILS","scale":1,"value_type":"amount"},{"value":"14250","note":null,"is_beur":null,"beur_num":null,"refference":"","date":"31.12.2023","path":["ื”ืชื—ื™ื™ื‘ื•ื™ื•ืช ื•ื ื›ืกื™ื ื ื˜ื•","ื”ืชื—ื™ื™ื‘ื•ื™ื•ืช ืฉื•ื˜ืคื•ืช:","ื”ืžื—ืื•ืช ืœืคืจืขื•ืŸ"],"currency":"ILS","scale":1,"value_type":"amount"},{"value":"43125","note":null,"is_beur":null,"beur_num":null,"refference":"","date":"31.12.2024","path":["ื”ืชื—ื™ื™ื‘ื•ื™ื•ืช ื•ื ื›ืกื™ื ื ื˜ื•","ื”ืชื—ื™ื™ื‘ื•ื™ื•ืช ืฉื•ื˜ืคื•ืช:","ื”ืžื—ืื•ืช ืœืคืจืขื•ืŸ"],"currency":"ILS","scale":1,"value_type":"amount"},{"value":"84159","note":null,"is_beur":null,"beur_num":null,"refference":"5","date":"31.12.2023","path":["ื”ืชื—ื™ื™ื‘ื•ื™ื•ืช ื•ื ื›ืกื™ื ื ื˜ื•","ื”ืชื—ื™ื™ื‘ื•ื™ื•ืช ืฉื•ื˜ืคื•ืช:","ื–ื›ืื™ื ื•ื™ืชืจื•ืช ื–ื›ื•ืช"],"currency":"ILS","scale":1,"value_type":"amount"},{"value":"137754","note":null,"is_beur":null,"beur_num":null,"refference":"5","date":"31.12.2024","path":["ื”ืชื—ื™ื™ื‘ื•ื™ื•ืช ื•ื ื›ืกื™ื ื ื˜ื•","ื”ืชื—ื™ื™ื‘ื•ื™ื•ืช ืฉื•ื˜ืคื•ืช:","ื–ื›ืื™ื ื•ื™ืชืจื•ืช ื–ื›ื•ืช"],"currency":"ILS","scale":1,"value_type":"amount"},{"value":"7864400","note":null,"is_beur":null,"beur_num":null,"refference":"6","date":"31.12.2023","path":["ื”ืชื—ื™ื™ื‘ื•ื™ื•ืช ื•ื ื›ืกื™ื ื ื˜ื•","ื”ืชื—ื™ื™ื‘ื•ื™ื•ืช ืฉื•ื˜ืคื•ืช:","ืžืงื“ืžื•ืช ืขืœ-ื—ืฉื‘ื•ืŸ ืžื›ื™ืจืช 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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.
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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":"\"ื”ืžืขื™ื™ืŸ\" ืงืจืŸ ืžืœื’ื•ืช ืœืžื—ื•ื ื ื™ื (ืข\"ืจ)","page_num":"7","type":"notes","title":"ื‘ืื•ืจื™ื ืœื“ื•ื—ื•ืช ื”ื›ืกืคื™ื™ื"},"facts":[{"value":"4","note":null,"is_beur":true,"beur_num":"2","refference":"","date":null,"path":["2. ืขื™ืงืจื™ ื”ืžื“ื™ื ื™ื•ืช ื”ื—ืฉื‘ื•ื ืื™ืช","ื“. ืจื›ื•ืฉ ืงื‘ื•ืข","(2) ืคื—ืช ืžื”ืจื›ื•ืฉ ื”ืงื‘ื•ืข ืžื—ื•ืฉื‘ ื‘ืฉื™ื˜ืช ื”ืงื• ื”ื™ืฉืจ ื‘ืฉื™ืขื•ืจื™ื ื”ืฉื ืชื™ื™ื ื”ื‘ืื™ื","ืžื‘ื ื”"],"currency":null,"scale":null,"value_type":"%"},{"value":"7-10","note":null,"is_beur":true,"beur_num":"2","refference":"","date":null,"path":["2. ืขื™ืงืจื™ ื”ืžื“ื™ื ื™ื•ืช ื”ื—ืฉื‘ื•ื ืื™ืช","ื“. ืจื›ื•ืฉ ืงื‘ื•ืข","(2) ืคื—ืช ืžื”ืจื›ื•ืฉ ื”ืงื‘ื•ืข ืžื—ื•ืฉื‘ ื‘ืฉื™ื˜ืช ื”ืงื• ื”ื™ืฉืจ ื‘ืฉื™ืขื•ืจื™ื ื”ืฉื ืชื™ื™ื ื”ื‘ืื™ื","ืจื™ื”ื•ื˜ ื•ืฆื™ื•ื“"],"currency":null,"scale":null,"value_type":"%"}]}
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":"\"ื”ืžืขื™ื™ืŸ\" ืงืจืŸ ืžืœื’ื•ืช ืœืžื—ื•ื ื ื™ื (ืข''ืจ)","page_num":"8","type":"notes","title":"ื‘ื™ืื•ืจื™ื ืœื“ื•ื—ื•ืช ื”ื›ืกืคื™ื™ื"},"facts":[{"value":"1214744","note":null,"is_beur":true,"beur_num":"4","refference":"","date":"31.12.2024","path":["4. ืจื›ื•ืฉ ืงื‘ื•ืข","ื. ื”ืจื›ื‘","ืžื‘ื ื”","ืคื—ืช ืฉื ืฆื‘ืจ"],"currency":"ILS","scale":1,"value_type":"amount"},{"value":"1299782","note":null,"is_beur":true,"beur_num":"4","refference":"","date":"31.12.2024","path":["4. ืจื›ื•ืฉ ืงื‘ื•ืข","ื. ื”ืจื›ื‘","ืžื‘ื ื”","ืขืœื•ืช"],"currency":"ILS","scale":1,"value_type":"amount"},{"value":"85038","note":null,"is_beur":true,"beur_num":"4","refference":"","date":"31.12.2024","path":["4. ืจื›ื•ืฉ ืงื‘ื•ืข","ื. ื”ืจื›ื‘","ืžื‘ื ื”","ืขืœื•ืช ืžื•ืคื—ืชืช"],"currency":"ILS","scale":1,"value_type":"amount"},{"value":"86974","note":null,"is_beur":true,"beur_num":"4","refference":"","date":"31.12.2023","path":["4. ืจื›ื•ืฉ ืงื‘ื•ืข","ื. ื”ืจื›ื‘","ืžื‘ื ื”","ืขืœื•ืช ืžื•ืคื—ืชืช"],"currency":"ILS","scale":1,"value_type":"amount"},{"value":"276813","note":null,"is_beur":true,"beur_num":"4","refference":"","date":"31.12.2024","path":["4. ืจื›ื•ืฉ ืงื‘ื•ืข","ื. ื”ืจื›ื‘","ืจื™ื”ื•ื˜ ื•ืฆื™ื•ื“","ืคื—ืช ืฉื ืฆื‘ืจ"],"currency":"ILS","scale":1,"value_type":"amount"},{"value":"475416","note":null,"is_beur":true,"beur_num":"4","refference":"","date":"31.12.2024","path":["4. ืจื›ื•ืฉ ืงื‘ื•ืข","ื. ื”ืจื›ื‘","ืจื™ื”ื•ื˜ ื•ืฆื™ื•ื“","ืขืœื•ืช"],"currency":"ILS","scale":1,"value_type":"amount"},{"value":"198603","note":null,"is_beur":true,"beur_num":"4","refference":"","date":"31.12.2024","path":["4. ืจื›ื•ืฉ ืงื‘ื•ืข","ื. ื”ืจื›ื‘","ืจื™ื”ื•ื˜ ื•ืฆื™ื•ื“","ืขืœื•ืช ืžื•ืคื—ืชืช"],"currency":"ILS","scale":1,"value_type":"amount"},{"value":"140060","note":null,"is_beur":true,"beur_num":"4","refference":"","date":"31.12.2023","path":["4. ืจื›ื•ืฉ ืงื‘ื•ืข","ื. ื”ืจื›ื‘","ืจื™ื”ื•ื˜ ื•ืฆื™ื•ื“","ืขืœื•ืช ืžื•ืคื—ืชืช"],"currency":"ILS","scale":1,"value_type":"amount"},{"value":"1491557","note":null,"is_beur":true,"beur_num":"4","refference":"","date":"31.12.2024","path":["4. ืจื›ื•ืฉ ืงื‘ื•ืข","ื. ื”ืจื›ื‘","ืกื”\"ื›","ืคื—ืช ืฉื ืฆื‘ืจ"],"currency":"ILS","scale":1,"value_type":"amount"},{"value":"1775198","note":null,"is_beur":true,"beur_num":"4","refference":"","date":"31.12.2024","path":["4. ืจื›ื•ืฉ ืงื‘ื•ืข","ื. ื”ืจื›ื‘","ืกื”\"ื›","ืขืœื•ืช"],"currency":"ILS","scale":1,"value_type":"amount"},{"value":"283641","note":null,"is_beur":true,"beur_num":"4","refference":"","date":"31.12.2024","path":["4. ืจื›ื•ืฉ ืงื‘ื•ืข","ื. ื”ืจื›ื‘","ืกื”\"ื›","ืขืœื•ืช ืžื•ืคื—ืชืช"],"currency":"ILS","scale":1,"value_type":"amount"},{"value":"227034","note":null,"is_beur":true,"beur_num":"4","refference":"","date":"31.12.2023","path":["4. ืจื›ื•ืฉ ืงื‘ื•ืข","ื. ื”ืจื›ื‘","ืกื”\"ื›","ืขืœื•ืช ืžื•ืคื—ืชืช"],"currency":"ILS","scale":1,"value_type":"amount"},{"value":"1358607","note":null,"is_beur":true,"beur_num":"4","refference":"ื‘. ืœื”ืœืŸ","date":"31.12.2024","path":["4. ืจื›ื•ืฉ ืงื‘ื•ืข","ื. ื”ืจื›ื‘","ืชืฉืœื•ืžื™ื ืขืœ-ื—ืฉื‘ื•ืŸ ืžื‘ื ื” ื‘ืชื›ื ื•ืŸ (ื‘. ืœื”ืœืŸ)","ืขืœื•ืช ืžื•ืคื—ืชืช"],"currency":"ILS","scale":1,"value_type":"amount"},{"value":"583032","note":null,"is_beur":true,"beur_num":"4","refference":"ื‘. ืœื”ืœืŸ","date":"31.12.2023","path":["4. ืจื›ื•ืฉ ืงื‘ื•ืข","ื. ื”ืจื›ื‘","ืชืฉืœื•ืžื™ื ืขืœ-ื—ืฉื‘ื•ืŸ ืžื‘ื ื” ื‘ืชื›ื ื•ืŸ (ื‘. ืœื”ืœืŸ)","ืขืœื•ืช ืžื•ืคื—ืชืช"],"currency":"ILS","scale":1,"value_type":"amount"},{"value":"1642248","note":null,"is_beur":true,"beur_num":"4","refference":"","date":"31.12.2024","path":["4. ืจื›ื•ืฉ ืงื‘ื•ืข","ื. ื”ืจื›ื‘","ืกื”\"ื› ืจื›ื•ืฉ ืงื‘ื•ืข","ืขืœื•ืช ืžื•ืคื—ืชืช"],"currency":"ILS","scale":1,"value_type":"amount"},{"value":"810066","note":null,"is_beur":true,"beur_num":"4","refference":"","date":"31.12.2023","path":["4. ืจื›ื•ืฉ ืงื‘ื•ืข","ื. ื”ืจื›ื‘","ืกื”\"ื› ืจื›ื•ืฉ ืงื‘ื•ืข","ืขืœื•ืช ืžื•ืคื—ืชืช"],"currency":"ILS","scale":1,"value_type":"amount"},{"value":"40447","note":null,"is_beur":true,"beur_num":"5","refference":"","date":"31.12.2023","path":["5. ื–ื›ืื™ื ื•ื™ืชืจื•ืช ื–ื›ื•ืช","ื”ืจื›ื‘ :","ืกืคืงื™ื ื•ื ื•ืชื ื™ ืฉื™ืจื•ืชื™ื"],"currency":"ILS","scale":1,"value_type":"amount"},{"value":"61907","note":null,"is_beur":true,"beur_num":"5","refference":"","date":"31.12.2024","path":["5. ื–ื›ืื™ื ื•ื™ืชืจื•ืช ื–ื›ื•ืช","ื”ืจื›ื‘ :","ืกืคืงื™ื ื•ื ื•ืชื ื™ ืฉื™ืจื•ืชื™ื"],"currency":"ILS","scale":1,"value_type":"amount"},{"value":"25000","note":null,"is_beur":true,"beur_num":"5","refference":"","date":"31.12.2024","path":["5. ื–ื›ืื™ื ื•ื™ืชืจื•ืช ื–ื›ื•ืช","ื”ืจื›ื‘ :","ื‘ืขืœื™ ืžื ื™ื•ืช"],"currency":"ILS","scale":1,"value_type":"amount"},{"value":"-","note":null,"is_beur":true,"beur_num":"5","refference":"","date":"31.12.2023","path":["5. ื–ื›ืื™ื ื•ื™ืชืจื•ืช ื–ื›ื•ืช","ื”ืจื›ื‘ :","ื‘ืขืœื™ ืžื ื™ื•ืช"],"currency":"ILS","scale":1,"value_type":"amount"},{"value":"43712","note":null,"is_beur":true,"beur_num":"5","refference":"","date":"31.12.2023","path":["5. ื–ื›ืื™ื ื•ื™ืชืจื•ืช ื–ื›ื•ืช","ื”ืจื›ื‘ :","ืฉื›ืจ ื•ื ืœื•ื•ืช ืœืฉืœื"],"currency":"ILS","scale":1,"value_type":"amount"},{"value":"50847","note":null,"is_beur":true,"beur_num":"5","refference":"","date":"31.12.2024","path":["5. ื–ื›ืื™ื ื•ื™ืชืจื•ืช ื–ื›ื•ืช","ื”ืจื›ื‘ :","ืฉื›ืจ ื•ื ืœื•ื•ืช ืœืฉืœื"],"currency":"ILS","scale":1,"value_type":"amount"},{"value":"84159","note":null,"is_beur":true,"beur_num":"5","refference":"","date":"31.12.2023","path":["5. ื–ื›ืื™ื ื•ื™ืชืจื•ืช ื–ื›ื•ืช","ื”ืจื›ื‘ :","ืกื”\"ื›"],"currency":"ILS","scale":1,"value_type":"amount"},{"value":"137754","note":null,"is_beur":true,"beur_num":"5","refference":"","date":"31.12.2024","path":["5. ื–ื›ืื™ื ื•ื™ืชืจื•ืช ื–ื›ื•ืช","ื”ืจื›ื‘ :","ื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":"\"ื”ืžืขื™ื™ืŸ\" ืงืจืŸ ืžืœื’ื•ืช ืœืžื—ื•ื ื ื™ื (ืข''ืจ)","page_num":"9","type":"notes","title":"ื‘ืื•ืจื™ื ืœื“ื•ื—ื•ืช ื”ื›ืกืคื™ื™ื"},"facts":[{"value":"990027","note":null,"is_beur":true,"beur_num":"8","refference":"","date":"31.12.2024","path":["8. ื”ืงืฆื‘ื•ืช ื•ืชืžื™ื›ื•ืช","ื”ืจื›ื‘","ืžืžืฉืจื“ ื”ื—ื™ื ื•ืš"],"currency":"ILS","scale":1,"value_type":"amount"},{"value":"973336","note":null,"is_beur":true,"beur_num":"8","refference":"","date":"31.12.2023","path":["8. ื”ืงืฆื‘ื•ืช ื•ืชืžื™ื›ื•ืช","ื”ืจื›ื‘","ืžืžืฉืจื“ ื”ื—ื™ื ื•ืš"],"currency":"ILS","scale":1,"value_type":"amount"},{"value":"227368","note":null,"is_beur":true,"beur_num":"8","refference":"","date":"31.12.2023","path":["8. ื”ืงืฆื‘ื•ืช ื•ืชืžื™ื›ื•ืช","ื”ืจื›ื‘","ืžืžืฉืจื“ ื”ื—ื™ื ื•ืš - ืžื•ืกื“ื•ืช ื“ืช"],"currency":"ILS","scale":1,"value_type":"amount"},{"value":"192662","note":null,"is_beur":true,"beur_num":"8","refference":"","date":"31.12.2024","path":["8. ื”ืงืฆื‘ื•ืช ื•ืชืžื™ื›ื•ืช","ื”ืจื›ื‘","ืžืžืฉืจื“ ื”ื—ื™ื ื•ืš - ืžื•ืกื“ื•ืช ื“ืช"],"currency":"ILS","scale":1,"value_type":"amount"},{"value":"1200704","note":null,"is_beur":true,"beur_num":"8","refference":"","date":"31.12.2023","path":["8. ื”ืงืฆื‘ื•ืช ื•ืชืžื™ื›ื•ืช","ื”ืจื›ื‘"],"currency":"ILS","scale":1,"value_type":"amount"},{"value":"1182689","note":null,"is_beur":true,"beur_num":"8","refference":"","date":"31.12.2024","path":["8. ื”ืงืฆื‘ื•ืช ื•ืชืžื™ื›ื•ืช","ื”ืจื›ื‘"],"currency":"ILS","scale":1,"value_type":"amount"},{"value":"81529","note":null,"is_beur":true,"beur_num":"9","refference":"","date":"31.12.2023","path":["9. ื›ืœื›ืœืช ืชืœืžื™ื“ื™ื","ื”ืจื›ื‘","ืžืฉื›ื•ืจื•ืช ื•ื ืœื•ื•ืช ืœืขื•ื‘ื“ื™ ืžื˜ื‘ื—"],"currency":"ILS","scale":1,"value_type":"amount"},{"value":"81990","note":null,"is_beur":true,"beur_num":"9","refference":"","date":"31.12.2024","path":["9. ื›ืœื›ืœืช ืชืœืžื™ื“ื™ื","ื”ืจื›ื‘","ืžืฉื›ื•ืจื•ืช ื•ื ืœื•ื•ืช ืœืขื•ื‘ื“ื™ ืžื˜ื‘ื—"],"currency":"ILS","scale":1,"value_type":"amount"},{"value":"367331","note":null,"is_beur":true,"beur_num":"9","refference":"","date":"31.12.2023","path":["9. ื›ืœื›ืœืช ืชืœืžื™ื“ื™ื","ื”ืจื›ื‘","ืงื ื™ื•ืช ืžื–ื•ืŸ ื•ื›ืœื™ ืžื˜ื‘ื—"],"currency":"ILS","scale":1,"value_type":"amount"},{"value":"389850","note":null,"is_beur":true,"beur_num":"9","refference":"","date":"31.12.2024","path":["9. ื›ืœื›ืœืช ืชืœืžื™ื“ื™ื","ื”ืจื›ื‘","ืงื ื™ื•ืช ืžื–ื•ืŸ ื•ื›ืœื™ ืžื˜ื‘ื—"],"currency":"ILS","scale":1,"value_type":"amount"},{"value":"448860","note":null,"is_beur":true,"beur_num":"9","refference":"","date":"31.12.2023","path":["9. ื›ืœื›ืœืช ืชืœืžื™ื“ื™ื","ื”ืจื›ื‘"],"currency":"ILS","scale":1,"value_type":"amount"},{"value":"471840","note":null,"is_beur":true,"beur_num":"9","refference":"","date":"31.12.2024","path":["9. ื›ืœื›ืœืช ืชืœืžื™ื“ื™ื","ื”ืจื›ื‘"],"currency":"ILS","scale":1,"value_type":"amount"},{"value":"217349","note":null,"is_beur":true,"beur_num":"10","refference":"","date":"31.12.2023","path":["10. ื”ื•ืฆืื•ืช ื”ื ื”ืœื” ื•ื›ืœืœื™ื•ืช","ื”ืจื›ื‘","ืžืฉื›ื•ืจื•ืช ื•ื ืœื•ื•ืช"],"currency":"ILS","scale":1,"value_type":"amount"},{"value":"382675","note":null,"is_beur":true,"beur_num":"10","refference":"","date":"31.12.2024","path":["10. ื”ื•ืฆืื•ืช ื”ื ื”ืœื” ื•ื›ืœืœื™ื•ืช","ื”ืจื›ื‘","ืžืฉื›ื•ืจื•ืช ื•ื ืœื•ื•ืช"],"currency":"ILS","scale":1,"value_type":"amount"},{"value":"51728","note":null,"is_beur":true,"beur_num":"10","refference":"","date":"31.12.2023","path":["10. ื”ื•ืฆืื•ืช ื”ื ื”ืœื” ื•ื›ืœืœื™ื•ืช","ื”ืจื›ื‘","ืฉื›ืจ ืžืงืฆื•ืขื™"],"currency":"ILS","scale":1,"value_type":"amount"},{"value":"80212","note":null,"is_beur":true,"beur_num":"10","refference":"","date":"31.12.2024","path":["10. ื”ื•ืฆืื•ืช ื”ื ื”ืœื” ื•ื›ืœืœื™ื•ืช","ื”ืจื›ื‘","ืฉื›ืจ ืžืงืฆื•ืขื™"],"currency":"ILS","scale":1,"value_type":"amount"},{"value":"6533","note":null,"is_beur":true,"beur_num":"10","refference":"","date":"31.12.2023","path":["10. ื”ื•ืฆืื•ืช ื”ื ื”ืœื” ื•ื›ืœืœื™ื•ืช","ื”ืจื›ื‘","ื˜ืœืคื•ืŸ ื•ืชืงืฉื•ืจืช"],"currency":"ILS","scale":1,"value_type":"amount"},{"value":"7093","note":null,"is_beur":true,"beur_num":"10","refference":"","date":"31.12.2024","path":["10. ื”ื•ืฆืื•ืช ื”ื ื”ืœื” ื•ื›ืœืœื™ื•ืช","ื”ืจื›ื‘","ื˜ืœืคื•ืŸ ื•ืชืงืฉื•ืจืช"],"currency":"ILS","scale":1,"value_type":"amount"},{"value":"12203","note":null,"is_beur":true,"beur_num":"10","refference":"","date":"31.12.2023","path":["10. ื”ื•ืฆืื•ืช ื”ื ื”ืœื” ื•ื›ืœืœื™ื•ืช","ื”ืจื›ื‘","ืžืฉืจื“ื™ื•ืช ื•ื ืกื™ืขื•ืช"],"currency":"ILS","scale":1,"value_type":"amount"},{"value":"16484","note":null,"is_beur":true,"beur_num":"10","refference":"","date":"31.12.2024","path":["10. ื”ื•ืฆืื•ืช ื”ื ื”ืœื” ื•ื›ืœืœื™ื•ืช","ื”ืจื›ื‘","ืžืฉืจื“ื™ื•ืช ื•ื ืกื™ืขื•ืช"],"currency":"ILS","scale":1,"value_type":"amount"},{"value":"2415","note":null,"is_beur":true,"beur_num":"10","refference":"","date":"31.12.2023","path":["10. ื”ื•ืฆืื•ืช ื”ื ื”ืœื” ื•ื›ืœืœื™ื•ืช","ื”ืจื›ื‘","ืื’ืจื•ืช"],"currency":"ILS","scale":1,"value_type":"amount"},{"value":"2662","note":null,"is_beur":true,"beur_num":"10","refference":"","date":"31.12.2024","path":["10. ื”ื•ืฆืื•ืช ื”ื ื”ืœื” ื•ื›ืœืœื™ื•ืช","ื”ืจื›ื‘","ืื’ืจื•ืช"],"currency":"ILS","scale":1,"value_type":"amount"},{"value":"290228","note":null,"is_beur":true,"beur_num":"10","refference":"","date":"31.12.2023","path":["10. ื”ื•ืฆืื•ืช ื”ื ื”ืœื” ื•ื›ืœืœื™ื•ืช","ื”ืจื›ื‘"],"currency":"ILS","scale":1,"value_type":"amount"},{"value":"489126","note":null,"is_beur":true,"beur_num":"10","refference":"","date":"31.12.2024","path":["10. ื”ื•ืฆืื•ืช ื”ื ื”ืœื” ื•ื›ืœืœื™ื•ืช","ื”ืจื›ื‘"],"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":"\"ื”ืžืขื™ื™ืŸ\" ืงืจืŸ ืžืœื’ื•ืช ืœืžื—ื•ื ื ื™ื (ืข''ืจ)","page_num":"10","type":"notes","title":"ื‘ืื•ืจื™ื ืœื“ื•ื—ื•ืช ื”ื›ืกืคื™ื™ื"},"facts":[{"value":"84155","note":null,"is_beur":true,"beur_num":"11","refference":"","date":"31.12.2023","path":["ื”ื›ื ืกื•ืช ืžื™ืžื•ืŸ, ื ื˜ื•","ืจื‘ื™ืช ืžืคืงื“ื•ื ื•ืช ื‘ื‘ื ืง"],"currency":"ILS","scale":1,"value_type":"amount"},{"value":"-","note":null,"is_beur":true,"beur_num":"11","refference":"","date":"31.12.2022","path":["ื”ื›ื ืกื•ืช ืžื™ืžื•ืŸ, ื ื˜ื•","ืจื‘ื™ืช ืžืคืงื“ื•ื ื•ืช ื‘ื‘ื ืง"],"currency":"ILS","scale":1,"value_type":"amount"},{"value":"31369","note":null,"is_beur":true,"beur_num":"11","refference":"","date":"31.12.2023","path":["ื”ื›ื ืกื•ืช ืžื™ืžื•ืŸ, ื ื˜ื•","ืจื•ื•ื— ืžืžื™ืžื•ืฉ ื•ื”ืชืืžืช ืขืจืš ื ื™ื™ืจื•ืช ืขืจืš"],"currency":"ILS","scale":1,"value_type":"amount"},{"value":"37951","note":null,"is_beur":true,"beur_num":"11","refference":"","date":"31.12.2022","path":["ื”ื›ื ืกื•ืช ืžื™ืžื•ืŸ, ื ื˜ื•","ืจื•ื•ื— ืžืžื™ืžื•ืฉ ื•ื”ืชืืžืช ืขืจืš ื ื™ื™ืจื•ืช ืขืจืš"],"currency":"ILS","scale":1,"value_type":"amount"},{"value":"(16717)","note":null,"is_beur":true,"beur_num":"11","refference":"","date":"31.12.2023","path":["ื”ื›ื ืกื•ืช ืžื™ืžื•ืŸ, ื ื˜ื•","ืจื™ื‘ื™ืช ื•ืขืžืœื•ืช ื‘ื ืง"],"currency":"ILS","scale":1,"value_type":"amount"},{"value":"(19067)","note":null,"is_beur":true,"beur_num":"11","refference":"","date":"31.12.2022","path":["ื”ื›ื ืกื•ืช ืžื™ืžื•ืŸ, ื ื˜ื•","ืจื™ื‘ื™ืช ื•ืขืžืœื•ืช ื‘ื ืง"],"currency":"ILS","scale":1,"value_type":"amount"},{"value":"98807","note":null,"is_beur":true,"beur_num":"11","refference":"","date":"31.12.2023","path":["ื”ื›ื ืกื•ืช ืžื™ืžื•ืŸ, ื ื˜ื•"],"currency":"ILS","scale":1,"value_type":"amount"},{"value":"18884","note":null,"is_beur":true,"beur_num":"11","refference":"","date":"31.12.2022","path":["ื”ื›ื ืกื•ืช ืžื™ืžื•ืŸ, ื ื˜ื•"],"currency":"ILS","scale":1,"value_type":"amount"}]}
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