Input path: /home/debian/html/nutritwin/output_llm/6627873b0b28f/input.json Output path: /home/debian/html/nutritwin/output_llm/6627873b0b28f/output.json Input text: Combien de calories dans une baguette DB path: __deriveddata__/DerivedObjects/Data/KcalMeDB_fr.sl3 Picto path: __deriveddata__/DerivedObjects/Data/PictoMatcherNetNG_fr.json Sport grounding path: __deriveddata__/DerivedObjects/Data/DerivedSportMET.json ================================================================================================================================== Prompt from user: Combien de calories dans une baguette ================================================================================================================================== ==================================== Prompt ============================================= Identify in this list of intents: ["Capture the user food consumption", "Capture the user physical activity", "Answer a nutrition question", "Other intent"], the intents of the prompt: ###Combien de calories dans une baguette###. Format the result in JSON format: {intents: []}. ========================================================================================= ------------------------------ LLM Raw response ----------------------------- { "intents": ["Answer a nutrition question"] } ----------------------------------------------------------------------------- ----------------- Make it compliant ------------------ { "intents": ["Answer a nutrition question"] } ------------------------------------------------------ ------------------------ After simplification ------------------------ { "intents": ["Answer a nutrition question"]} ---------------------------------------------------------------------- ==================================== Prompt ============================================= I need to identify food information from sentences. Analyze the following french sentence: "Combien de calories dans une baguette". I want to identify for the food or beverage: the name, the type, the quantity for each ingredient and, if it exists, identify the brand, the cooking mode and the company name. Containers, like "canette" or "verre", are quantities and not ingredients or food product. "Portions", like "tranche", are quantities. "Quantity" is in french. "Company" is the company of the brand. "Quignon" is a quantity. Ignore what it is not connected to nutrition, beverage or food. Music and is not nutrition. Extract how the product is consumed. The level of cooking mode is not in the name. There is no quantity in the name, ex: the name for "une pomme" is "pomme". When brand is not specified and the product is very well-known (like "Coca-Cola"), provide the brand name in "brand", otherwise set "brand" to "". Ignore the actions. The restaurants are not brand. Identify what type of food. Ignore food with a negative verb, ex "Je n'ai pas pris de viande". Do not extract ingredients for product with a brand. If the food or beverage consumption is in the past, the event is a "declaration", for example: "J'ai mangé du pain", the event is a declaration. If the food or beverage consumption will be in the future or even soon, the event is an "intent", for example: "Je vais manger du pain", the event is an intent. Otherwise the event is unknown. Map the event of eating on ["intent", "declaration", "unknown"]. Identify the time of day when the foods were eaten and map it on "petit-déjeuner", "déjeuner", "grignotage" or "dîner". Format the result in french in JSON in an array of tuples {"name":, "quantity":, "cooking":, "brand":, "company":, "type":, "time":, "event":}. ========================================================================================= ------------------------------ LLM Raw response ----------------------------- Based on your instructions, here's how I would analyze the sentence "Combien de calories dans une baguette". The sentence is asking about the calories in a baguette, so we can infer that the food item is a baguette. There is no information about the brand, company, cooking mode, or time of day. The event is unknown because the sentence is not stating that the baguette was or will be eaten. Here's how I would format the result in French in JSON: ```json [ { "name": "baguette", "quantity": "une", "cooking": "", "brand": "", "company": "", "type": "boulangerie", "time": "", "event": "inconnu" } ] ``` ----------------------------------------------------------------------------- ----------------- Make it compliant ------------------ Based on your instructions, here's how I would analyze the sentence "Combien de calories dans une baguette". The sentence is asking about the calories in a baguette, so we can infer that the food item is a baguette. There is no information about the brand, company, cooking mode, or time of day. The event is unknown because the sentence is not stating that the baguette was or will be eaten. Here's how I would format the result in French in JSON: ```json [ { "name": "baguette", "quantity": "une", "cooking": "", "brand": "", "company": "", "type": "boulangerie", "time": "", "event": "inconnu" } ] ``` ------------------------------------------------------ ------------------------ After simplification ------------------------ [ { "name": "baguette", "quantity": "une", "cooking": "", "brand": "", "company": "", "type": "boulangerie", "time": "", "event": "inconnu" }] ---------------------------------------------------------------------- --------------------------------- LLM result ----------------------------------- {'response': [{'name': 'baguette', 'quantity': 'une', 'cooking': '', 'brand': '', 'company': '', 'type': 'boulangerie', 'time': '', 'event': 'inconnu'}], 'cost': 0.05424} -------------------------------------------------------------------------------- First try: SELECT V_Name,V_Comment,V_NormName,V_NormComment,V_PackType,V_GTIN,V_GTINRef,V_ID,V_GlobalCount,V_NormTrademark,V_Trademark,V_NormAggr FROM KCALME_TABLE WHERE V_NormName LIKE '% baguette %' AND (V_NormTrademark = '' OR V_NormTrademark IS NULL) ------------- Found solution (max 20) -------------- Baguette - baguette - - - 13304 - - - KCA#4c58eb37d72a06c3eb6b4eca05a7eafc Baguette Beurrée - baguette beurree - - - 6728 - - - KCA#81e38c2ee900b3581038d641b4a91c7f Baguette Beurre Confiture - baguette beurre confiture - - - 5301 - - - KCA#d399b90a645a52039b2f409debeaa686 Pain, Baguette Courante - pain baguette courante - - - 1505 - - - KCA#b8216428789ad27dd11c8e9619cd3ad8 Pain, Baguette sans Sel - pain baguette san sel - - - 144 - - - KCA#9792a779f917b0a8bf1fc9c776628d0a Sandwich Baguette - sandwich baguette - - - 0 - - - CIQ#ecdbce2254ce082246ccea95b54322d3 Sandwich Baguette - sandwich baguette - jambon, beurre - - 544 - - - CIQ#bd804df922badefbc8215232b9b741aa Sandwich Baguette - sandwich baguette - salami, beurre - - 59 - - - CIQ#92b9f1c35fd21237d9716ba633faf6c3 Sandwich Baguette - sandwich baguette - jambon emmental - - 0 - - - CIQ#a3044be4730437e3137525aaa8469e38 Sandwich Baguette - sandwich baguette - pâté, cornichons - - 138 - - - CIQ#dffdf1e5117ae64f00c22627ab3670f2 Sandwich Baguette - sandwich baguette - camembert, beurre - - 23 - - - CIQ#0080a72a2d54a3ea5e04c0c631ac01fd Sandwich Baguette - sandwich baguette - saucisson, beurre - - 0 - - - CIQ#64a51f36b8fcf7fb6aa69713d78a7477 Sandwich Baguette - sandwich baguette - saumon fumé, beurre - - 191 - - - CIQ#f319acba3059dd568c3ec0b09ffee8cd Sandwich Baguette - sandwich baguette - thon, maïs, crudités - - 0 - - - CIQ#6bc3fa7c33408c471a521687ea57c022 Sandwich Baguette - sandwich baguette - jambon, emmental, beurre - - 5174 - - - CIQ#d4b56c51ab3ed4856726dc5540397da5 Sandwich Baguette - sandwich baguette - merguez, ketchup moutarde - - 71 - - - CIQ#5f4dda655b3b11f243dc5af84eb97c1f Sandwich Baguette - sandwich baguette - crudités diverses, mayonnaise - - 17 - - - CIQ#80a019abb0e07979e1fadd760efb9be0 Sandwich Baguette - sandwich baguette - oeuf, crudités, tomate, salade, mayonnaise - - 0 - - - CIQ#ce1d206be86434bec3c26d455f9689e4 Sandwich Baguette - sandwich baguette - porc, crudités, tomate, salade, mayonnaise - - 0 - - - CIQ#8e8c84ec0b67513a1590bfedccec16eb Sandwich Baguette - sandwich baguette - thon, crudités, tomate, salade, mayonnaise - - 0 - - - CIQ#2216cbeb818ce287e644567239e12d90 ---------------------------------------------------- BAG.w25,PAI.w30 ==================================== Prompt ============================================= Here is all known information: For "Baguette", here are the nutrition values: name: Baguette GTIN: none brand: none calorie: 283.0Kcal per 100g reference weight for a unity: 30g salt: 1.2g per 100g sugar: -1.0g per 100g NutriScore: none EcoScore: none allergens: en:gluten allergen traces: none data source: KcalMe Answer in less than 50 words to this question with a short explanation if needed: "Combien de calories dans une baguette" " + "Mention the data source in the response if it exists. The answer must be in the same language than the question ========================================================================================= ------------------------------ LLM Raw response ----------------------------- Une baguette typique pesant environ 250g contient environ 708 calories (283kcal/100g * 250g). Cette information provient de KcalMe. ----------------------------------------------------------------------------- --------------------------------- LLM result ----------------------------------- {'response': 'Une baguette typique pesant environ 250g contient environ 708 calories (283kcal/100g * 250g). Cette information provient de KcalMe.', 'cost': 0.017459999999999996} -------------------------------------------------------------------------------- --------------------------------- final result ----------------------------------- {'prompt': 'Combien de calories dans une baguette', 'intents': ['Answer a nutrition question'], 'model': 'mistral-large-latest', 'solutions': {'nutrition': [{'name': 'Baguette', 'normName': ' baguette ', 'comment': '', 'normComment': '', 'rank': 13304, 'id': 'KCA#4c58eb37d72a06c3eb6b4eca05a7eafc', 'quantity': 'une', 'quantityLem': '1', 'pack': ['BAG.w25', 'PAI.w30'], 'type': 'boulangerie', 'gtin': '', 'gtinRef': '', 'brand': '', 'time': '', 'event': 'inconnu', 'serving': 'PAI-100', 'posiNormName': 0}], 'activity': [], 'response': {'type': 'text', 'data': 'Une baguette typique pesant environ 250g contient environ 708 calories (283kcal/100g * 250g). Cette information provient de KcalMe.'}}, 'cputime': 11.965035676956177} ---------------------------------------------------------------------------------- LLM CPU Time: 11.965035676956177