Input path: /home/debian/html/nutritwin/output_llm/6894d026635d7/input.json Output path: /home/debian/html/nutritwin/output_llm/6894d026635d7/output.json Input text: 1,5 l de Coca-Cola zéro. 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: 1,5 l de Coca-Cola zéro. ================================================================================================================================== ==================================== Prompt ============================================= Identify in this list of intents: ["Identify food and beverage consumption or declaration", "Identify the user physical activity", "Answer a nutrition question", "Other intent"], the intents of the prompt: ###1,5 l de Coca-Cola zéro.###. Format the result in JSON format: {"intents": []}. ========================================================================================= ------------------------------ LLM Raw response ----------------------------- {"intents": ["Identify food and beverage consumption or declaration"]} ----------------------------------------------------------------------------- ----------------- Make it compliant ------------------ {"intents": ["Identify food and beverage consumption or declaration"]} ------------------------------------------------------ ERROR: wrong object representation: {'intents': ['Identify food and beverage consumption or declaration']} ------------------------ After simplification ------------------------ { "intents": [ "Identify food and beverage consumption or declaration" ] } ---------------------------------------------------------------------- ==================================== Prompt ============================================= Convert this natural language query : """1,5 l de Coca-Cola zéro.""" into an array of JSON. Ignore what it is not connected to nutrition, beverage or food. Provide a solution without explanation. Use the following ontology and only this ontology described in this Turtle/RDF model: """ @prefix food: . @prefix rdfs: . @prefix xsd: . @prefix owl: . @prefix prov: . food: a owl:Ontology ; rdfs:comment "Definition of the food archetype"@en . food:name a owl:DatatypeProperty; rdfs:label "name"@en; rdfs:comment """Food or beverage identifier, the name should not contain information related to quantity or container (like glass...). Ignore food or beverage when it is not consumed in the past, now or in the future. The cooking mode is not in the name. The name is only in french."""@en; rdfs:range xsd:string. food:quantity a owl:DatatypeProperty ; rdfs:label "quantity"@en; rdfs:comment "The quantity of food or drink that is or was consumed. Quantity is only in french. Here are examples: 'un quignon', 'un cornet', 'un verre', 'une tranche', 'une boule', 'un', 'deux', 'trois',... Keep the same language."@en; rdfs:range xsd:string. food:cookingMethod a owl:DatatypeProperty ; rdfs:label "cooking method"@en; rdfs:comment "The cooking method of food. The cooking method is in french."@en; rdfs:range xsd:string. food:type a owl:DatatypeProperty ; rdfs:label "type of food"@en; rdfs:comment "Identify the type of food."@en; rdfs:range xsd:string. food:food a food:type ; rdfs:label "food" . food:beverage a food:type ; rdfs:label "beverage" . food:timeOfTheDay a owl:DatatypeProperty ; rdfs:label "time of the day"@en; rdfs:comment "Time of the day when food or drink was consumed."@en; rdfs:range xsd:string. food:breakfast a food:timeOfTheDay ; rdfs:label "breakfast" . food:lunch a food:timeOfTheDay ; rdfs:label "lunch" . food:snacking a food:timeOfTheDay ; rdfs:label "snacking" . food:dinner a food:timeOfTheDay ; rdfs:label "dinner" . food:brand a owl:DatatypeProperty ; rdfs:label "Brand"@en; rdfs:comment """Food or beverage brand. The restaurants are not brand. When the name is very known (ex: Activia, Coca) and the brand is not mentioned, guess the brand."""@en; rdfs:range xsd:string. food:company a owl:DatatypeProperty ; rdfs:label "Company"@en; rdfs:comment "Product company."@en; rdfs:range xsd:string. food:enumEvent a rdfs:Class . food:event a owl:DatatypeProperty ; rdfs:label "event"@en; rdfs:comment "Event of eating or drinking. Each must have an event"@en; rdfs:range food:enumEvent. food:intent a food:enumEvent ; rdfs:label "intent" . rdfs:comment "When the event should happen"@en. food:declaration a food:enumEvent ; rdfs:label "declaration" . rdfs:comment "When the event has already occured"@en. food:unknownEvent a food:enumEvent ; rdfs:label "unknown" ; rdfs:comment "When the event is unknown in the day"@en. food:event a owl:DatatypeProperty ; rdfs:label "event"@en; rdfs:comment "Event of eating or drinking. Each must have an event"@en; rdfs:range food:enumEvent. food:intent a food:enumEvent ; rdfs:label "intent" . rdfs:comment "When the event should happen"@en. food:declaration a food:enumEvent ; rdfs:label "declaration" . rdfs:comment "When the event has already occured"@en. food:unknownEvent a food:enumEvent ; rdfs:label "unknown" ; rdfs:comment "When the event is unknown in the day"@en. """ Here is an example of result: [ { "name": "blanquette de veau", "quantity": "un plat", "cookingMethod": "mijot\u00e9", "timeOfTheDay": "lunch", "company": "Leclerc", "type": "food", "event": "declaration" }, { "name": "eau", "brand": "Evian", "company": "Danone", "timeOfTheDay": "breakfast", "quantity": "un verre", "type": "beverage", "event": "intent" } ] ========================================================================================= ------------------------------ LLM Raw response ----------------------------- [ { "name": "Coca-Cola zéro", "quantity": "un litre cinq", "type": "beverage", "brand": "Coca-Cola" } ] ----------------------------------------------------------------------------- ----------------- Make it compliant ------------------ [ { "name": "Coca-Cola zéro", "quantity": "un litre cinq", "type": "beverage", "brand": "Coca-Cola" } ] ------------------------------------------------------ ------------------------ After simplification ------------------------ [ { "name": "Coca-Cola z\u00e9ro", "quantity": "un litre cinq", "type": "beverage", "brand": "Coca-Cola" } ] ---------------------------------------------------------------------- --------------------------------- LLM result ----------------------------------- {'response': [{'name': 'Coca-Cola zéro', 'quantity': 'un litre cinq', 'type': 'beverage', 'brand': 'Coca-Cola'}], 'cost': 0.09785999999999999} -------------------------------------------------------------------------------- ----------- result to be analyzed ----------- {'name': 'Coca-Cola zéro', 'quantity': 'un litre cinq', 'type': 'beverage', 'brand': 'Coca-Cola'} 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 '% zero %' AND V_NormTrademark LIKE '%coca cola%' ------------- Found solution (max 20) -------------- Zero Lemon - zero lemon - - The Coca-Cola Company - 0 - 5449000227058 - - OFF#a24246e057a63a5deda1097dc9801f7f Zero Calorie - zero calorie - - The Coca-Cola Company - 0 - 0049000050141 - - OFF#f637d292adaade547f9b56ecfa2b2315 Zero Sugar Vanilla - zero sugar vanilla - - The Coca-Cola Company - 0 - 5449000226433 - - OFF#ef2001f3a5dc427f800b7aa1ec557db6 Coca Zero - coca zero - - The Coca-Cola Company - 0 - 3348630001101 - 3348630001101 - OFF#440095f3b491e7e31cd0d061fc51039a Coke Zero - coke zero - - The Coca-Cola Company - 0 - 5449000134264 - 5449000134264 - OFF#341c7ccaa34644e64d7bddf27c090c79 Coca Zero - coca zero - - The Coca-Cola Company - 0 - 90061318 - 3348630001101 - OFF#866b59d9935a75e6ae6b87b385be009e Coca Zero - coca zero - - The Coca-Cola Company - 0 - 5449000283870 - 3348630001101 - OFF#e9e860b430eeb7d177bc2d0c00b62100 Coca Zero - coca zero - - The Coca-Cola Company - 0 - 5449000226068 - 3348630001101 - OFF#eb8d749a217618870b0f31752d7edfcb Coca Zero - coca zero - - The Coca-Cola Company - 0 - 7565656848565 - 3348630001101 - OFF#e35b3c01a44dc94ac7ca76612c5624d7 Coca Zero - coca zero - - The Coca-Cola Company - 0 - 5000112624120 - 3348630001101 - OFF#5421a9b4fbc5d7f1a4c4f01714b831de Coca Zero - coca zero - - The Coca-Cola Company - 0 - 3760126831397 - 3348630001101 - OFF#27464ea397b128e32a6612f9a64eb97d Coca Zero Lemon - coca zero lemon - - The Coca-Cola Company - 0 - 5449000226396 - 5449000226396 - OFF#ba8c41ad9c70425a88f0536952c0df82 Coca Zéro Lemon - coca zero lemon - - The Coca-Cola Company - 0 - 5449000241764 - 5449000226396 - OFF#94592af3f46488b8cc726c5425ad8ef7 Coca Zero Vanille - coca zero vanille - - The Coca-Cola Company - 0 - 5449000226457 - 5449000226457 - OFF#c201421970263f7114511d7f44323129 Oasis Zero Ananas Passion - oasi zero anana passion - - The Coca-Cola Company - 0 - 3124480182173 - 3124480182173 - OFF#547797c0cf2a4a36c78b5155d0b93496 Oasis Zéro Pomme Cassis Framboise - oasi zero pomme cassi framboise - - The Coca-Cola Company - 0 - 3124480172037 - 3124480172037 - OFF#a33e805477137df05a1291513c716422 Sprite Zero - sprite zero - - The Coca-Cola Company - 0 - 5449000110039 - 5449000110039 - OFF#ad43ff8c15f0c4f76ef1cf9f8626e7ce Sprite Zéro - sprite zero - - The Coca-Cola Company - 0 - 3348630008117 - 5449000110039 - OFF#0d41ce489267da043e92e3e4219b26cc Aquarius Zero Azucar - aquariu zero azucar - - The Coca-Cola Company - 0 - 5449000171801 - 5449000171801 - OFF#dc997a9cd015b59dfab6932c825e4866 Tropical Zero - tropical zero - - The Coca-Cola Company - 0 - 3124480180971 - 3124480180971 - OFF#9fceeff5cc02c37986f14ae20d15c60e ---------------------------------------------------- ERROR: no solution for picto in the first solution --------------------------------- final result ----------------------------------- {'prompt': '1,5 l de Coca-Cola zéro.', 'model': 'mistral-large-2411', 'imagePath': '', 'intents': ['Identify food and beverage consumption or declaration'], 'solutions': {'nutrition': [{'name': 'Zero Lemon', 'normName': ' zero lemon ', 'comment': '', 'normComment': '', 'rank': 0, 'id': 'OFF#a24246e057a63a5deda1097dc9801f7f', 'quantity': 'un litre cinq', 'quantityLem': '1 litre 5', 'pack': ['VX1', 'BI4', 'VA2', 'VA3', 'GOB', 'C3B', 'C33', 'C15', 'SOD', 'VA4', 'VFF'], 'type': 'beverage', 'gtin': '5449000227058', 'gtinRef': '', 'brand': 'The Coca-Cola Company', 'time': '', 'event': 'unknown', 'serving': '', 'posiNormName': 0}], 'activity': [], 'response': {}}, 'cputime': 2.6208224296569824} ---------------------------------------------------------------------------------- LLM CPU Time: 2.6208224296569824