Input path: /home/debian/html/nutritwin/output_llm/691ac3fcea581/input.json Output path: /home/debian/html/nutritwin/output_llm/691ac3fcea581/output.json Input text: Semoule cuite. 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: Semoule cuite. ================================================================================================================================== ==================================== 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: ###Semoule cuite.###. 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 : """Semoule cuite.""" 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": "semoule", "cookingMethod": "cuite", "type": "food", "event": "unknownEvent" } ] ----------------------------------------------------------------------------- ----------------- Make it compliant ------------------ [ { "name": "semoule", "cookingMethod": "cuite", "type": "food", "event": "unknownEvent" } ] ------------------------------------------------------ ------------------------ After simplification ------------------------ [ { "name": "semoule", "cookingMethod": "cuite", "type": "food", "event": "unknownEvent" } ] ---------------------------------------------------------------------- --------------------------------- LLM result ----------------------------------- {'response': [{'name': 'semoule', 'cookingMethod': 'cuite', 'type': 'food', 'event': 'unknownEvent'}], 'cost': 0.09635999999999999} -------------------------------------------------------------------------------- ----------- result to be analyzed ----------- {'name': 'semoule', 'cookingMethod': 'cuite', 'type': 'food', 'event': 'unknownEvent'} 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 '% semoule %' AND (V_NormTrademark = '' OR V_NormTrademark IS NULL) ------------- Found solution (max 20) -------------- Semoule Crue - semoule crue - semoule crue - - 0 - - - KCA#403361450dedc0e77dcb16b5577430a4 Semoule Cuite - semoule cuite - semoule cuite - - 0 - - - KCA#9e27e5f9c55018540e6d50bb64cea222 Semoule au Lait - semoule lait - - - 722 - - - CIQ#a18ad24d2b097bdf60ba04576af9b82f Semoule de Blé Dur - semoule de ble dur - crue - - 0 - - - CIQ#5fb359452a2888f4307c85b4b03fb2d8 Semoule de Blé Dur - semoule de ble dur - non salée - - 0 - - - CIQ#465d3eef3ba8b2892a388c227dd7caef Gnocchi à la Semoule - gnocchi semoule - cru - - 0 - - - CIQ#ae8e3e15a53a64071006882a28d7e011 Gâteau de Semoule - gateau de semoule - - - 376 - - - CIQ#380f068b9866b52875e5f0219753aa9b Gâteau de Semoule aux Raisins et Caramel - gateau de semoule au raisin caramel - - - 0 - - - CIQ#7600ca98415ad5d02089e76a9cf96f32 Polenta ou Semoule de Maïs - polenta ou semoule de mai - cuite - - 978 - - - KCA#8c591a1ee446acb8ea54cba945cebeea Polenta ou Semoule de Maïs - polenta ou semoule de mai - précuite, sèche - - 0 - - - CIQ#2d92a97514d33bfb62aaee70563aabeb Soufflé de Semoule au Gruyère - souffle de semoule gruyere - au gruyère - - 0 - - - KCA#b461072b24c1ab65dec61a5db2481981 Couscous de Légumes et Semoule à la Menthe - couscou de legume semoule menthe - - - 282 - - - KCA#6655a87be0a76e99357881c2b94b7999 Poulet au Curry, Avec Riz ou Semoule - poulet curry avec riz ou semoule - - - 420 - - - KCA#32716e6fee3cc5dc8f3613f578e7cf07 ---------------------------------------------------- ERROR: Wrong quantity: '' ERROR: no solution for picto in the first solution --------------------------------- final result ----------------------------------- {'prompt': 'Semoule cuite.', 'model': 'mistral-large-2411', 'imagePath': '', 'intents': ['Identify food and beverage consumption or declaration'], 'solutions': {'nutrition': [{'name': 'Semoule Crue', 'normName': ' semoule crue ', 'comment': 'semoule crue', 'normComment': ' semoule crue ', 'rank': 0, 'id': 'KCA#403361450dedc0e77dcb16b5577430a4', 'quantity': '', 'quantityLem': '', 'pack': ['APL.w50'], 'type': 'food', 'gtin': '', 'gtinRef': '', 'brand': '', 'time': '', 'event': 'unknownEvent', 'serving': '', 'posiNormName': 0}], 'activity': [], 'response': {}}, 'cputime': 1.709852933883667} ---------------------------------------------------------------------------------- LLM CPU Time: 1.709852933883667