Input path: /home/debian/html/nutritwin/output_llm/67463a5174074/input.json Output path: /home/debian/html/nutritwin/output_llm/67463a5174074/output.json Input text: Boeuf aux oignons. 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: Boeuf aux oignons. ================================================================================================================================== ==================================== Prompt ============================================= Identify in this list of intents: ["Identify food consumption or declaration", "Identify the user physical activity", "Answer a nutrition question", "Other intent"], the intents of the prompt: ###Boeuf aux oignons.###. Format the result in JSON format: {intents: []}. ========================================================================================= ------------------------------ LLM Raw response ----------------------------- ```json { "intents": ["Identify food consumption or declaration"] } ``` ----------------------------------------------------------------------------- ----------------- Make it compliant ------------------ ```json { "intents": ["Identify food consumption or declaration"] } ``` ------------------------------------------------------ ------------------------ After simplification ------------------------ { "intents": ["Identify food consumption or declaration"]} ---------------------------------------------------------------------- ==================================== Prompt ============================================= Convert this natural language query : """Boeuf aux oignons.""" into an array in JSON of consumed foods and beverages. Provide a solution without explanation. Use only the 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...)."@en; rdfs:comment "Ignore food or beverage when it is not consumed in the past, now or in the future."@en; rdfs:comment "The cooking mode is not in the name. Keep the same language"@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 examples in french: '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. Keep the same language"@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."@en; rdfs:comment "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. """ ========================================================================================= ------------------------------ LLM Raw response ----------------------------- ```json [ { "name": "Boeuf", "type": "food", "event": "declaration" }, { "name": "oignons", "type": "food", "event": "declaration" } ] ``` ----------------------------------------------------------------------------- ----------------- Make it compliant ------------------ ```json [ { "name": "Boeuf", "type": "food", "event": "declaration" }, { "name": "oignons", "type": "food", "event": "declaration" } ] ``` ------------------------------------------------------ ------------------------ After simplification ------------------------ [ { "name": "Boeuf", "type": "food", "event": "declaration" }, { "name": "oignons", "type": "food", "event": "declaration" }] ---------------------------------------------------------------------- --------------------------------- LLM result ----------------------------------- {'response': [{'name': 'Boeuf', 'type': 'food', 'event': 'declaration'}, {'name': 'oignons', 'type': 'food', 'event': 'declaration'}], 'cost': 0.0} -------------------------------------------------------------------------------- ----------- result to be analyzed ----------- {'name': 'Boeuf', 'type': 'food', 'event': 'declaration'} 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 '% boeuf %' AND (V_NormTrademark = '' OR V_NormTrademark IS NULL) ------------- Found solution (max 20) -------------- Boeuf - boeuf - braisé - - 165 - - - CIQ#6bf042cfd7d5c96e40030f0e0cdfdc3d Boeuf - boeuf - boulettes - - 0 - - - CIQ#e40719732bd6d44e00a5945f15b6d4d4 Boeuf - boeuf - hampe, crue - - 0 - - - CIQ#795ea114e40ecfce0c00c9307c085c06 Boeuf - boeuf - onglet, grillé - - 0 - - - CIQ#656a9124a19a1ea062fd3f6ccfe0378d Boeuf - boeuf - gîte à la noix - - 0 - - - CIQ#e8e07f473a2894b57ded106dc2050aff Boeuf - boeuf - collier, braisé - - 0 - - - CIQ#7042cead5a407ed42d0ecf98c1c0f637 Boeuf - boeuf - rumsteck, grillé - - 0 - - - CIQ#a0a6bdb2c256304eab49ef399c281cc9 Boeuf - boeuf - steak haché 5% MG - - 0 - - - CIQ#46a64488bd2840f33293dee55de913be Boeuf - boeuf - steak haché 20% MG - - 0 - - - CIQ#80823c89d118427f4c7b8e1a643042e1 Boeuf - boeuf - steak haché 15% MG - - 0 - - - CIQ#a5cf04bcb1a69860331098bd7a697a6a Boeuf - boeuf - steak haché 10% MG - - 0 - - - CIQ#6231e89ba5643de9c42afd55ab45defd Boeuf - boeuf - hampe, grillée/poêlée - - 0 - - - CIQ#03f60c494670d8bf21569c9acdc1fc68 Boeuf - boeuf - plat de côtes, braisé - - 0 - - - CIQ#8f0bf33a6959aa00d36c29e8b89614e4 Boeuf - boeuf - faux-filet, grillé/poêlé - - 0 - - - CIQ#fda06a69148b168f24cfb42ebb4c6300 Boeuf - boeuf - steak ou bifteck, grillé - - 0 - - - CIQ#0a61c57359e767c7756adc05bb37ec86 Boeuf - boeuf - joue, braisée ou bouillie - - 0 - - - CIQ#5ddb7a08c3886f09916bf4f648a95d32 Boeuf - boeuf - steak haché,aliment moyen - - 0 - - - CIQ#e069559b718a0098a4592708f724e4ee Boeuf - boeuf - rosbif, rôti/cuit au four - - 0 - - - CIQ#0370a624bd43b1a25aa9ae8be56977bc Boeuf - boeuf - paleron, braisé ou bouilli - - 0 - - - CIQ#dfad3151aa7cf2c14a61721369a4991b Boeuf - boeuf - à bourguignon ou pot-au-feu - - 0 - - - CIQ#3ef10e5ceceb49f23a09e88664fa2bba ---------------------------------------------------- ERROR: Wrong quantity: '' ERROR: no solution for picto in the first solution ERROR: Wrong quantity: '' ERROR: no solution for picto in the first solution ERROR: Wrong quantity: '' ERROR: no solution for picto in the first solution ERROR: Wrong quantity: '' ERROR: no solution for picto in the first solution ERROR: Wrong quantity: '' ERROR: no solution for picto in the first solution ERROR: Wrong quantity: '' ERROR: no solution for picto in the first solution ERROR: Wrong quantity: '' ERROR: no solution for picto in the first solution ERROR: Wrong quantity: '' ERROR: no solution for picto in the first solution ERROR: Wrong quantity: '' ERROR: no solution for picto in the first solution ERROR: Wrong quantity: '' ERROR: no solution for picto in the first solution ERROR: Wrong quantity: '' ERROR: no solution for picto in the first solution ERROR: Wrong quantity: '' ERROR: no solution for picto in the first solution ERROR: Wrong quantity: '' ERROR: no solution for picto in the first solution ERROR: Wrong quantity: '' ERROR: no solution for picto in the first solution ERROR: Wrong quantity: '' ERROR: no solution for picto in the first solution ERROR: Wrong quantity: '' ERROR: no solution for picto in the first solution ERROR: Wrong quantity: '' ERROR: no solution for picto in the first solution ERROR: Wrong quantity: '' ERROR: no solution for picto in the first solution ERROR: Wrong quantity: '' ERROR: no solution for picto in the first solution ERROR: Wrong quantity: '' ERROR: no solution for picto in the first solution ERROR: Wrong quantity: '' ERROR: no solution for picto in the first solution ERROR: Wrong quantity: '' ERROR: no solution for picto in the first solution ERROR: Wrong quantity: '' ERROR: no solution for picto in the first solution ERROR: Wrong quantity: '' ERROR: no solution for picto in the first solution ERROR: Wrong quantity: '' ERROR: no solution for picto in the first solution ERROR: Wrong quantity: '' ERROR: no solution for picto in the first solution ERROR: Wrong quantity: '' ERROR: no solution for picto in the first solution ERROR: Wrong quantity: '' ERROR: no solution for picto in the first solution ----------- result to be analyzed ----------- {'name': 'oignons', 'type': 'food', 'event': 'declaration'} 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 '% oignon %' AND (V_NormTrademark = '' OR V_NormTrademark IS NULL) ------------- Found solution (max 20) -------------- Oignon Rouge - oignon rouge - cru - - 0 - - - CIQ#a3a90e3b821f84d7a74d50f24f98c096 Oignon Jaune - oignon jaune - cru - - 0 - - - CIQ#c916dd977e601a26f15719c111bb1093 Oignon Rouge - oignon rouge - sauté/poêlé sans matière grasse - - 0 - - - CIQ#3272cac72e2186557cc2070def22749a Oignons Glacés - oignon glace - - - 65 - - - KCA#2b3f52a8738bf794986d4ef46123f00f Oignons Farcis - oignon farci - - - 35 - - - KCA#aab0d8e5679cd466c7ef244e808be75f Oignons Marinés - oignon marine - - - 82 - - - KCA#7d9a649773db2bf2ce8c45b2a633af89 Oignons à la Grecque - oignon grecque - - - 12 - - - KCA#55d5997945125813e6482bec44690738 Oignon Blanc ou Jaune - oignon blanc ou jaune - sauté/poêlé sans matière grasse - - 0 - - - CIQ#f9914e4a2a2041ae432c622942e9e97c Oignons Rôtis au Vinaigre Balsamique - oignon roti vinaigre balsamique - - - 27 - - - KCA#afa16f451defcba2b92b498b444ea13c Oignon Nouveau ou Oignon Frais ou Cébette - oignon nouveau ou oignon frai ou cebette - sauté/poêlé sans matière grasse - - 0 - - - CIQ#39815d50df5f6ed817552538ed74a10a Soupe à l'Oignon - soupe oignon - - - 403 - - - CIQ#b1ff7640f95dd2cde33e15b9cda8687a Tarte à l'Oignon - tarte oignon - - - 0 - - - CIQ#50f48863e213aaadcb6bfdcd1e8a8024 Soupe à l'Oignon - soupe oignon - déshydratée reconstituée - - 0 - - - CIQ#8185849a63717db6199dc328db03c3ea Tarte à l'Oignon Boulangerie - tarte oignon boulangerie - l'oignon boulangerie - - 0 - - - KCA#2650e88a79567e3c49b88875beac00e1 Salade d'Oignons - salade oignon - - - 11 - - - KCA#3fca60ac2fc384af506dee4e6390f676 Tarte aux Oignons - tarte au oignon - aux oignons - - 0 - - - KCA#7908b6eb74cb8bfebb84a7b50415b7d7 Anguille aux Oignons - anguille au oignon - - - 2 - - - KCA#eb19e91cf489de7590674d279c274384 Omelette aux Oignons Blancs - omelette au oignon blanc - - - 160 - - - KCA#e00d982431b8462b3ee00178d5dd51ea Pigeons aux Petits Oignons - pigeon au petit oignon - - - 0 - - - KCA#715f503cc552cf465e7e952b9b544f12 Côte de Mouton aux Oignons - cote de mouton au oignon - - - 6 - - - KCA#748f33a4c3e1976e12aa602aead0cdaf ---------------------------------------------------- ERROR: Wrong quantity: '' ERROR: no solution for picto in the first solution --------------------------------- final result ----------------------------------- {'prompt': 'Boeuf aux oignons.', 'intents': ['Identify food consumption or declaration'], 'model': 'gpt-4o-2024-05-13', 'solutions': {'nutrition': [{'name': 'Boeuf', 'normName': ' boeuf ', 'comment': 'braisé', 'normComment': ' braise ', 'rank': 165, 'id': 'CIQ#6bf042cfd7d5c96e40030f0e0cdfdc3d', 'quantity': '', 'quantityLem': '', 'pack': ['SI2.w300'], 'type': 'food', 'gtin': '', 'gtinRef': '', 'brand': '', 'time': '', 'event': 'declaration', 'serving': '', 'posiNormName': 0}, {'name': 'Oignon Rouge', 'normName': ' oignon rouge ', 'comment': 'cru', 'normComment': ' cru ', 'rank': 0, 'id': 'CIQ#a3a90e3b821f84d7a74d50f24f98c096', 'quantity': '', 'quantityLem': '', 'pack': ['LEG.w150'], 'type': 'food', 'gtin': '', 'gtinRef': '', 'brand': '', 'time': '', 'event': 'declaration', 'serving': '', 'posiNormName': 0}], 'activity': [], 'response': {}}, 'cputime': 1.9655704498291016} ---------------------------------------------------------------------------------- LLM CPU Time: 1.9655704498291016