Input path: /home/debian/html/nutritwin/output_llm/6894cb6241519/input.json Output path: /home/debian/html/nutritwin/output_llm/6894cb6241519/output.json Input text: 100 g d'épinards. 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: 100 g d'épinards. ================================================================================================================================== ==================================== 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: ###100 g d'épinards.###. 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 : """100 g d'épinards.""" 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": "épinards", "quantity": "cent grammes", "type": "food", "event": "unknown" } ] ----------------------------------------------------------------------------- ----------------- Make it compliant ------------------ [ { "name": "épinards", "quantity": "cent grammes", "type": "food", "event": "unknown" } ] ------------------------------------------------------ ------------------------ After simplification ------------------------ [ { "name": "\u00e9pinards", "quantity": "cent grammes", "type": "food", "event": "unknown" } ] ---------------------------------------------------------------------- --------------------------------- LLM result ----------------------------------- {'response': [{'name': 'épinards', 'quantity': 'cent grammes', 'type': 'food', 'event': 'unknown'}], 'cost': 0.09647999999999998} -------------------------------------------------------------------------------- ----------- result to be analyzed ----------- {'name': 'épinards', 'quantity': 'cent grammes', 'type': 'food', 'event': 'unknown'} 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 '% epinard %' AND (V_NormTrademark = '' OR V_NormTrademark IS NULL) ------------- Found solution (max 20) -------------- Épinard - epinard - bouilli/cuit à l'eau - - 0 - - - CIQ#433bdba89f5f8461e9be028dc8a7d006 Épinard - epinard - jeunes pousses pour salades, cru - - 0 - - - CIQ#fdeb432347d2b4173f5156686d2f99b6 Epinards Crus - epinard cru - - - 237 - - - KCA#2b067f81272058eb8afacaecf3d95ce4 Epinards Cuits - epinard cuit - - - 3521 - - - KCA#a84e48a746ab76e2a92a7ff685f7672b Epinards Surgelés - epinard surgele - - - 0 - - - KCA#6a5c1b019a4c5761881863139cae62f4 Epinards à la Crème - epinard creme - - - 1961 - - - KCA#4a3ec629c07ac0a72baff17d6dcffb6a Epinards au Fromage - epinard fromage - - - 103 - - - KCA#6185bd8b8954b8f180e21507e28bfb5d Tarte Épinard Chèvre - tarte epinard chevre - - - 1 - - - CIQ#903b346c51a11e87c3740323706f565f Purée d'Epinards à la Crème - puree epinard creme - - - 43 - - - KCA#5ad4feeb696a25452e1f664522dd253c Salade d'Epinards - salade epinard - - - 150 - - - KCA#79de93185d044eb14c4cea5a9aa5cacd Salade d'Epinards - salade epinard - Boulgour et Pois chiches - - 17 - - - KCA#46f12f923e6ad3074056575f0cdb89eb Riz aux Epinards et aux Figues - riz au epinard au figue - - - 9 - - - KCA#92aaabb51f939b54b37121fb6eff2626 Oeufs aux Epinards - oeuf au epinard - - - 11 - - - KCA#e6dea4a7c4fa999c2931f83dc857ac02 Boulettes d'Epinards à la Sauce Tomate - boulette epinard sauce tomate - - - 9 - - - KCA#2400b360c946364c7fedfc50987e55b3 Fatayer aux Epinards - fatayer au epinard - - - 9 - - - KCA#2e633a21d0f60571492b1012460c0283 Lentilles aux Epinards - lentille au epinard - - - 22 - - - KCA#27e5618f833b2a5e6ef3f51546ae28c8 Lasagnes Chèvre Epinards - lasagne chevre epinard - 'maison' - - 202 - - - KCA#bb87f36466b476d493686d067f7a309f Pappardelle aux Epinards et Tomates Grillées - pappardelle au epinard tomate grillee - à la Ricotta - - 1 - - - KCA#85c631a8538f4d0dddf99295efb67fa8 Raviolis Frais aux Epinards - ravioli frai au epinard - - - 76 - - - KCA#0933097fa2901b5e5e0e29590a3b0b95 Raviolis Frais Ricotta-epinards - ravioli frai ricotta epinard - - - 362 - - - KCA#08bd3dee018c7d1de7780e83157db3bb ---------------------------------------------------- ERROR: no solution for picto in the first solution ERROR: no solution for picto in the first solution --------------------------------- final result ----------------------------------- {'prompt': "100 g d'épinards.", 'model': 'mistral-large-2411', 'imagePath': '', 'intents': ['Identify food and beverage consumption or declaration'], 'solutions': {'nutrition': [{'name': 'Épinard', 'normName': ' epinard ', 'comment': "bouilli/cuit à l'eau", 'normComment': ' bouilli/cuit eau ', 'rank': 0, 'id': 'CIQ#433bdba89f5f8461e9be028dc8a7d006', 'quantity': 'cent grammes', 'quantityLem': 'cent gramme', 'pack': ['LEG.w150'], 'type': 'food', 'gtin': '', 'gtinRef': '', 'brand': '', 'time': '', 'event': 'unknown', 'serving': '', 'posiNormName': 0}], 'activity': [], 'response': {}}, 'cputime': 2.578078508377075} ---------------------------------------------------------------------------------- LLM CPU Time: 2.578078508377075