Input path: /home/debian/html/nutritwin/output_llm/679930b59db6d/input.json Output path: /home/debian/html/nutritwin/output_llm/679930b59db6d/output.json Input text: Hachis parmentier de canard. 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: Hachis parmentier de canard. ================================================================================================================================== ==================================== 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: ###Hachis parmentier de canard.###. 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 : """Hachis parmentier de canard.""" 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": "Hachis parmentier de canard", "type": "food", "event": "unknownEvent" } ] ----------------------------------------------------------------------------- ----------------- Make it compliant ------------------ [ { "name": "Hachis parmentier de canard", "type": "food", "event": "unknownEvent" } ] ------------------------------------------------------ ------------------------ After simplification ------------------------ [ { "name": "Hachis parmentier de canard", "type": "food", "event": "unknownEvent" } ] ---------------------------------------------------------------------- --------------------------------- LLM result ----------------------------------- {'response': [{'name': 'Hachis parmentier de canard', 'type': 'food', 'event': 'unknownEvent'}], 'cost': 0.09587999999999999} -------------------------------------------------------------------------------- ----------- result to be analyzed ----------- {'name': 'Hachis parmentier de canard', '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 '% hachi parmentier de canard %' AND (V_NormTrademark = '' OR V_NormTrademark IS NULL) --> CPU time in DB: 0.1281 seconds Word: Parmentier de Canard - dist: 0.3857223689556122 - row: 4122 Word: Parmentier de Canard Confit - dist: 0.41458597779273987 - row: 25945 Word: Parmentier Effiloché de Canard Confit - dist: 0.4205898344516754 - row: 22425 Word: Le Parmentier de Canard - dist: 0.4219754636287689 - row: 34018 Word: Parmentier de Canard Le Chaud - dist: 0.4304159879684448 - row: 41605 Found embedding word: Parmentier de Canard Second try (embedded): 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_Name = 'Parmentier de Canard' ------------- Found solution (max 20) -------------- Parmentier de Canard - parmentier de canard - - - 32 - - - CIQ#f526dddc6bf3be58f674701bbcae0dc5 Parmentier de Canard - parmentier de canard - - - 0 - - - CIQ#f526dddc6bf3be58f674701bbcae0dc5 Parmentier de Canard - parmentier de canard - - Toque-du-chef - 0 - 20712129 - 20712129 - OFF#0aad54218fb394532886d60e99b07ff4 Parmentier de Canard - parmentier de canard - - Casino - 0 - 3222474221379 - 3222474221379 - OFF#6ad45e6cfbf66aa4e78a5656670e14fd Parmentier de Canard - parmentier de canard - - U - 0 - 3256228586759 - 3256228586759 - OFF#ffdbf4484d6528e6a5ca09ed26aa4fd8 Parmentier de Canard - parmentier de canard - - Leader Price - 0 - 3263859849719 - 3263859849719 - OFF#3a1454e898017aa8821fb87cd677ce79 Parmentier de Canard - parmentier de canard - - Picard - 0 - 3270160639939 - 3270160639939 - OFF#c5d65452fc763cb3e5d060c1bf852da9 Parmentier de Canard - parmentier de canard - - Carrefour - 0 - 3276558528687 - 3276558528687 - OFF#b0f4ab5df54d481db744d3d42269f8d0 Parmentier de Canard - parmentier de canard - - Tipiak - 0 - 3282740301006 - 3282740301006 - OFF#02ec5db9478e4f4b59ea966e1547c695 Parmentier de Canard - parmentier de canard - - Thiriet - 0 - 3292590878252 - 3292590878252 - OFF#7d853ca1e71511ccf9686e8709ce9da2 Parmentier de Canard - parmentier de canard - - William Saurin - 0 - 3299512169085 - 3299512169085 - OFF#3f167c021dafb0fb119193597732ec0b Parmentier de Canard - parmentier de canard - - Rochambeau - 0 - 3439496409450 - 3439496409450 - OFF#15137b9444fcb693f4a97a13f97fed76 Parmentier de Canard - parmentier de canard - - Weight Watchers - 0 - 3459343006014 - 3459343006014 - OFF#fe505eea26bef3bc31331cbc9da74fe4 Parmentier de Canard - parmentier de canard - - Leclerc - 0 - 3564706736184 - 3564706736184 - OFF#fbc74ca4e47e25255476b5b3536c80c2 Parmentier de Canard - parmentier de canard - - Auchan - 0 - 3596710481408 - 3596710481408 - OFF#8b2e92323be3872c4dcb189632c1e878 Parmentier de Canard - parmentier de canard - - Casino - 0 - 3222476623737 - 3222474221379 - OFF#e1a6d71ba99bc66ada6ebb3f63856c57 Parmentier de Canard - parmentier de canard - - U - 0 - 3256228586766 - 3256228586759 - OFF#cfb8240ea5cd638a12931af1f4caf3d6 Parmentier de Canard - parmentier de canard - - U - 0 - 3338310300556 - 3256228586759 - OFF#5ad8851a30474efa520f2eea83e92c85 Parmentier de Canard - parmentier de canard - - Franprix - 0 - 3263858405718 - 3263855895215 - OFF#2c2c7676dc42879b3e94b9750b2cf29f Parmentier de Canard - parmentier de canard - - Picard - 0 - 3270160860210 - 3270160639939 - OFF#463135402234e11818972583355a2164 ---------------------------------------------------- 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 --------------------------------- final result ----------------------------------- {'prompt': 'Hachis parmentier de canard.', 'model': 'mistral-large-2411', 'imagePath': '', 'intents': ['Identify food and beverage consumption or declaration'], 'solutions': {'nutrition': [{'name': 'Parmentier de Canard', 'normName': ' parmentier de canard ', 'comment': '', 'normComment': '', 'rank': 32, 'id': 'CIQ#f526dddc6bf3be58f674701bbcae0dc5', 'quantity': '', 'quantityLem': '', 'pack': ['HEN.w250'], 'type': 'food', 'gtin': '', 'gtinRef': '', 'brand': '', 'time': '', 'event': 'unknownEvent', 'serving': '', 'posiNormName': -1}], 'activity': [], 'response': {}}, 'cputime': 2.1255643367767334} ---------------------------------------------------------------------------------- LLM CPU Time: 2.1255643367767334