Input path: /home/debian/html/nutritwin/output_llm/6755fa0377e36/input.json Output path: /home/debian/html/nutritwin/output_llm/6755fa0377e36/output.json Input text: Noisettes entière. 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: Noisettes entière. ================================================================================================================================== ==================================== 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: ###Noisettes entière.###. 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 : """Noisettes entière.""" 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...)."@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. 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."@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. 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": "noisettes entière", "type": "food", "event": "unknown" } ] ----------------------------------------------------------------------------- ----------------- Make it compliant ------------------ [ { "name": "noisettes entière", "type": "food", "event": "unknown" } ] ------------------------------------------------------ ------------------------ After simplification ------------------------ [ { "name": "noisettes enti\u00e8re", "type": "food", "event": "unknown" } ] ---------------------------------------------------------------------- --------------------------------- LLM result ----------------------------------- {'response': [{'name': 'noisettes entière', 'type': 'food', 'event': 'unknown'}], 'cost': 0.09689999999999999} -------------------------------------------------------------------------------- ----------- result to be analyzed ----------- {'name': 'noisettes entière', '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 '% noisette entiere %' AND (V_NormTrademark = '' OR V_NormTrademark IS NULL) Second 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 '% noisette entiere %' AND V_NormAggr LIKE '% noisette entiere %' ------------- Found solution (max 20) -------------- Noisettes Entieres - noisette entiere - - Mondelez International - 0 - 7622201677190 - 7622201677190 - OFF#9efde9d33d8a36d488db1561e327a8f0 Noisettes Entières Extra Gourmand - noisette entiere extra gourmand - - Mondelez International - 0 - 7622300529918 - 7622300529918 - OFF#cda800239fc6f5c5a279e00d36b1067f Noir Noisettes Entières - noir noisette entiere - - Mondelez International - 0 - 30726826 - 30726826 - OFF#9e87f86db158397ed6c21745e49c0ab7 Noir Noisettes Entieres - noir noisette entiere - - Auchan - 0 - 3245678046906 - 3245678046906 - OFF#58959fee8a93d83f50e1235dc9048f0f Lait Noisettes Entieres - lait noisette entiere - - Auchan - 0 - 3245678046975 - 3245678046975 - OFF#0c64f0d2163b49c1d0df334251e0fd93 Noir Noisettes Entières - noir noisette entiere - - Carrefour - 0 - 3560070776177 - 3560070776177 - OFF#0701be12857523eda225179e0019e572 Lait Noisettes Entieres - lait noisette entiere - - Carrefour - 0 - 3560070776207 - 3560070776207 - OFF#90c4dffa25608a72a4daf2c04650aced Lait Noisettes Entières - lait noisette entiere - - Mondelez International - 0 - 7622210423146 - 7622210423146 - OFF#68cee8bf762851376cf3955c2bd7eb3b Noir Noisettes Entières - noir noisette entiere - - Mondelez International - 0 - 31832731 - 30726826 - OFF#6b9e6a260fec0622a36facdf8613f28d Noir Noisettes Entières - noir noisette entiere - - Mondelez International - 0 - 32174816 - 30726826 - OFF#20713667ed2e617a31f0a5b945e9f841 Noir Noisettes Entières - noir noisette entiere - - Mondelez International - 0 - 7622210995087 - 30726826 - OFF#99dca7174249a1e16955e748763f822d Noir Noisettes Entières - noir noisette entiere - - Auchan - 0 - 3254560888210 - 3245678046906 - OFF#70ef3fdea14dfc7c74af028137be1f1e Lait Noisettes Entières - lait noisette entiere - - Auchan - 0 - 3254560888197 - 3245678046975 - OFF#e894381af1ee4be5648c90567e09269d Lait Noisettes Entieres - lait noisette entiere - - Auchan - 0 - 3245678046982 - 3245678046975 - OFF#26620846f3f8ebb6827eebbba27cb82a Lait Noisettes Entières - lait noisette entiere - - Auchan - 0 - 3245678049600 - 3245678046975 - OFF#f979b16865a009a1e6c8290f1c0242d6 Lait Noisettes Entières - lait noisette entiere - - Carrefour - 0 - 3560071276478 - 3560070776207 - OFF#cb79bc24d6f507f855ae536515ecee85 Lait et Noisettes Entières - lait noisette entiere - - Nestlé - 0 - 7613033927072 - 7613033927072 - OFF#4250fac0e9ad7c5ab8eeb99b5a83768e Milka Noisette Entière - milka noisette entiere - - Mondelez International - 0 - 7622210787712 - 3045140118502 - OFF#26bee7420c7eda1932aff24cbfb8e9fb Milka Noisette Entières - milka noisette entiere - - Mondelez International - 0 - 3045140118502 - 3045140118502 - OFF#f7d1ae5a2dbfc3425caa4f883cce3c44 Blanc Noisettes Entières - blanc noisette entiere - - Casino - 0 - 3222473575633 - 3222473575633 - OFF#dc48f6836e62d5158f876409b08960d9 ---------------------------------------------------- ERROR: Wrong quantity: '' ERROR: no solution for picto in the first solution --------------------------------- final result ----------------------------------- {'prompt': 'Noisettes entière.', 'model': 'mistral-large-2411', 'imagePath': '', 'intents': ['Identify food and beverage consumption or declaration'], 'solutions': {'nutrition': [{'name': 'Noisettes Entieres', 'normName': ' noisette entiere ', 'comment': '', 'normComment': '', 'rank': 0, 'id': 'OFF#9efde9d33d8a36d488db1561e327a8f0', 'quantity': '', 'quantityLem': '', 'pack': ['CHO.w8'], 'type': 'food', 'gtin': '7622201677190', 'gtinRef': '7622201677190', 'brand': 'Mondelez International', 'time': '', 'event': 'unknown', 'serving': '', 'posiNormName': 0}], 'activity': [], 'response': {}}, 'cputime': 7.295294761657715} ---------------------------------------------------------------------------------- LLM CPU Time: 7.295294761657715