Restez organisé à l'aide des collections
Enregistrez et classez les contenus selon vos préférences.
Extrayez un ensemble d'entités d'un document et renvoyez-les au format JSON.
Vous pouvez interroger un modèle directement et tester les résultats renvoyés lors de l'utilisation de différentes valeurs de paramètre en utilisant la console Cloud ou en appelant directement l'API Vertex AI.
En tant qu'expert en extraction d'entités de documents, vous analysez des documents pour identifier et organiser des entités spécifiques provenant de diverses sources dans des formats structurés, en suivant des consignes détaillées pour plus de clarté et d'exhaustivité.
Tu es un spécialiste de l'extraction d'entités dans les documents. À partir d'un document, votre tâche consiste à extraire la valeur textuelle des entités suivantes :
Le schéma JSON doit être suivi lors de l'extraction.
Les valeurs ne doivent inclure que des chaînes de texte trouvées dans le document.
Génère une valeur nulle pour les entités manquantes.
Réponse
{"earning_item":[{"earning_rate":"20","earning_hours":"80","earning_type":"regular pay","earning_this_period":"1,600.00"}],"direct_deposit_item":[],"current_deduction":"160.00","ytd_deduction":"1,920.00","employee_id":"123456","employee_name":"Janet Doe","employer_name":"The Greatest Company LLC","employer_address":"176 Imaginary Ave\nCambridge, ΜΑ 02138","federal_additional_tax":null,"federal_allowance":null,"federal_marital_status":null,"gross_earnings":"1,600.00","gross_earnings_ytd":"19,200.00","net_pay":"1,060.80","net_pay_ytd":"12,729.60","ssn":"XXX-XX-1234","pay_date":"12/15/17","pay_period_end":"12/12/17","pay_period_start":"11/10/17","state_additional_tax":null,"state_allowance":null,"state_marital_status":null,"tax_item":[{"tax_this_period":"20.80","tax_type":"FICA MED TAX","tax_ytd":"249.60"},{"tax_this_period":"99.20","tax_type":"FICA SS TAX","tax_ytd":"1190.40"},{"tax_this_period":"179.20","tax_type":"FED TAX","tax_ytd":"2150.40"},{"tax_this_period":"80.00","tax_type":"MA ST TAX","tax_ytd":"960.00"}]}
Modèle :
gemini-1.5-flash-001
Température :
1
Nombre maximal de jetons de sortie :
8 192
TopK :
40
TopP :
0,95
Sauf indication contraire, le contenu de cette page est régi par une licence Creative Commons Attribution 4.0, et les échantillons de code sont régis par une licence Apache 2.0. Pour en savoir plus, consultez les Règles du site Google Developers. Java est une marque déposée d'Oracle et/ou de ses sociétés affiliées.
Dernière mise à jour le 2025/08/07 (UTC).
[[["Facile à comprendre","easyToUnderstand","thumb-up"],["J'ai pu résoudre mon problème","solvedMyProblem","thumb-up"],["Autre","otherUp","thumb-up"]],[["Difficile à comprendre","hardToUnderstand","thumb-down"],["Informations ou exemple de code incorrects","incorrectInformationOrSampleCode","thumb-down"],["Il n'y a pas l'information/les exemples dont j'ai besoin","missingTheInformationSamplesINeed","thumb-down"],["Problème de traduction","translationIssue","thumb-down"],["Autre","otherDown","thumb-down"]],["Dernière mise à jour le 2025/08/07 (UTC)."],[],[],null,["Extract a set of entities from a document and return them in JSON.\n\n|----------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------|-------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------|\n| You can query a model directly and test the results returned when using different parameter values with the Cloud console, or by calling the Vertex AI API directly. - For an example of using the Vertex AI API, see [Quickstart using the Vertex AI API](/vertex-ai/generative-ai/docs/start/quickstarts/api-quickstart). - To view this sample in the Cloud console: [Go to Google Cloud console](https://console.cloud.google.com/vertex-ai/generative/multimodal/prompt-examples/Document%20entity%20extraction) \u003cbr /\u003e ||\n| |----------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------| | **System instructions** | | As an expert in document entity extraction, you parse documents to identify and organize specific entities from diverse sources into structured formats, following detailed guidelines for clarity and completeness. | Prompt Freeform [earnings_statement.pdf](https://storage.mtls.cloud.google.com/cloud-samples-data/generative-ai/pdf/earnings_statement.pdf) You are a document entity extraction specialist. Given a document, your task is to extract the text value of the following entities: ``` { \"earning_item\": [ { \"earning_rate\": \"\", \"earning_hours\": \"\", \"earning_type\": \"\", \"earning_this_period\": \"\" } ], \"direct_deposit_item\": [ { \"direct_deposit\": \"\", \"employee_account_number\": \"\" } ], \"current_deduction\": \"\", \"ytd_deduction\": \"\", \"employee_id\": \"\", \"employee_name\": \"\", \"employer_name\": \"\", \"employer_address\": \"\", \"federal_additional_tax\": \"\", \"federal_allowance\": \"\", \"federal_marital_status\": \"\", \"gross_earnings\": \"\", \"gross_earnings_ytd\": \"\", \"net_pay\": \"\", \"net_pay_ytd\": \"\", \"ssn\": \"\", \"pay_date\": \"\", \"pay_period_end\": \"\", \"pay_period_start\": \"\", \"state_additional_tax\": \"\", \"state_allowance\": \"\", \"state_marital_status\": \"\", \"tax_item\": [ { \"tax_this_period\": \"\", \"tax_type\": \"\", \"tax_ytd\": \"\" } ] } ``` \u003cbr /\u003e - The JSON schema must be followed during the extraction. - The values must only include text strings found in the document. - Generate null for missing entities. Response { \"earning_item\": [ { \"earning_rate\": \"20\", \"earning_hours\": \"80\", \"earning_type\": \"regular pay\", \"earning_this_period\": \"1,600.00\" } ], \"direct_deposit_item\": [], \"current_deduction\": \"160.00\", \"ytd_deduction\": \"1,920.00\", \"employee_id\": \"123456\", \"employee_name\": \"Janet Doe\", \"employer_name\": \"The Greatest Company LLC\", \"employer_address\": \"176 Imaginary Ave\\nCambridge, ΜΑ 02138\", \"federal_additional_tax\": null, \"federal_allowance\": null, \"federal_marital_status\": null, \"gross_earnings\": \"1,600.00\", \"gross_earnings_ytd\": \"19,200.00\", \"net_pay\": \"1,060.80\", \"net_pay_ytd\": \"12,729.60\", \"ssn\": \"XXX-XX-1234\", \"pay_date\": \"12/15/17\", \"pay_period_end\": \"12/12/17\", \"pay_period_start\": \"11/10/17\", \"state_additional_tax\": null, \"state_allowance\": null, \"state_marital_status\": null, \"tax_item\": [ { \"tax_this_period\": \"20.80\", \"tax_type\": \"FICA MED TAX\", \"tax_ytd\": \"249.60\" }, { \"tax_this_period\": \"99.20\", \"tax_type\": \"FICA SS TAX\", \"tax_ytd\": \"1190.40\" }, { \"tax_this_period\": \"179.20\", \"tax_type\": \"FED TAX\", \"tax_ytd\": \"2150.40\" }, { \"tax_this_period\": \"80.00\", \"tax_type\": \"MA ST TAX\", \"tax_ytd\": \"960.00\" } ] } | |------------------------|----------------------| | **Model:** | gemini-1.5-flash-001 | | **Temperature:** | 1 | | **Max output tokens:** | 8192 | | **TopK:** | 40 | | **TopP:** | 0.95 | |"]]
