Input path: /home/debian/html/nutritwin/output_llm/689f55f139ea2/input.json Output path: /home/debian/html/nutritwin/output_llm/689f55f139ea2/output.json Input text: Ce midi j'ai mangé un peu de pâtes avec du fromage râpé. 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: Ce midi j'ai mangé un peu de pâtes avec du fromage râpé. ================================================================================================================================== ==================================== 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: ###Ce midi j'ai mangé un peu de pâtes avec du fromage râpé.###. 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 : """Ce midi j'ai mangé un peu de pâtes avec du fromage râpé.""" 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": "p\u00e2tes", "quantity": "un peu", "timeOfTheDay": "lunch", "type": "food", "event": "declaration" }, { "name": "fromage r\u00e2p\u00e9", "quantity": "un peu", "timeOfTheDay": "lunch", "type": "food", "event": "declaration" } ] ----------------------------------------------------------------------------- ----------------- Make it compliant ------------------ [ { "name": "p\u00e2tes", "quantity": "un peu", "timeOfTheDay": "lunch", "type": "food", "event": "declaration" }, { "name": "fromage r\u00e2p\u00e9", "quantity": "un peu", "timeOfTheDay": "lunch", "type": "food", "event": "declaration" } ] ------------------------------------------------------ ------------------------ After simplification ------------------------ [ { "name": "p\u00e2tes", "quantity": "un peu", "timeOfTheDay": "lunch", "type": "food", "event": "declaration" }, { "name": "fromage r\u00e2p\u00e9", "quantity": "un peu", "timeOfTheDay": "lunch", "type": "food", "event": "declaration" } ] ---------------------------------------------------------------------- --------------------------------- LLM result ----------------------------------- {'response': [{'name': 'pâtes', 'quantity': 'un peu', 'timeOfTheDay': 'lunch', 'type': 'food', 'event': 'declaration'}, {'name': 'fromage râpé', 'quantity': 'un peu', 'timeOfTheDay': 'lunch', 'type': 'food', 'event': 'declaration'}], 'cost': 0.10757999999999998} -------------------------------------------------------------------------------- ----------- result to be analyzed ----------- {'name': 'pâtes', 'quantity': 'un peu', 'timeOfTheDay': 'lunch', '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 '% pate %' AND (V_NormTrademark = '' OR V_NormTrademark IS NULL) ------------- Found solution (max 20) -------------- Pâté - pate - - - 35 - - - CIQ#afa9f7f047da1f15de2883f037186a92 Pâtes - pate - sans gluten, à base de riz et maïs, à l'eau, non salées - - 0 - - - CIQ#fbb4c57fdca55e795247628ccb5aecdd Pâtes - pate - sans gluten, à base de lentilles corail, à l'eau, non salées - - 0 - - - CIQ#b616881505a8dc3bb22f36ba73c591e5 Pâté Breton - pate breton - - - 0 - - - CIQ#7bf7cf124b0a4bd2e2ef3a9a0a499589 Pâtes Cuites - pate cuite - - - 40303 - - - KCA#5f79f58611165eed8a9639bfa123a9ca Pâté de Foie - pate de foie - - - 754 - - - KCA#a5e2912dd9f9cde202e6768375fa2481 Pâté de Tête - pate de tete - - - 191 - - - KCA#f90aa2ff530cc5bc04459e1ca2ba4490 Pâtes Sèches - pate seche - aux oeufs, crues - - 0 - - - CIQ#52cf76f71ceae840a6e8cfb7bb87401e Pâtes Sèches - pate seche - sans gluten, crues - - 0 - - - CIQ#a6df809c43c5e8ea99c2290e16e50a23 Pâtes Sèches - pate seche - au blé complet, crues - - 0 - - - CIQ#2cd29b7b7d0a8beffb2a20bdcd5b67d9 Pâtes Sèches - pate seche - aux oeufs, non salées - - 0 - - - CIQ#475f5a3e0ebed8ce058915c8c0e2488a Pâtes Sèches - pate seche - sans gluten, non salées - - 0 - - - CIQ#a83a046d5cb792a1634de34a8b103f8c Pâtes Sèches - pate seche - au blé complet, non salées - - 0 - - - CIQ#086a2b5c3417a99bed48fb94c6f8e347 Pâte d'Amande - pate amande - - - 753 - - - CIQ#7c0811ad432704e3560ead7d11dcc54b Pâté de Lapin - pate de lapin - - - 228 - - - CIQ#cd9ac9416e8376ef0d33dc474b22d8d1 Pâte de Fruits - pate de fruit - - - 904 - - - CIQ#ddc417db85ad45f7b63c72987afd1efd Pâté en Croûte - pate en croute - - - 69 - - - CIQ#e2118c3e025007fd1644c613af45b0cf Pâté de Gibier - pate de gibier - - - 62 - - - CIQ#68811d74011dd1931c6725029c3ec0d8 Pâté Ardennais - pate ardennai - - - 33 - - - KCA#1c1510a6deb74a99fe2687d0ba87d678 Pâtes Fraîches - pate fraiche - aux oeufs, crues - - 0 - - - CIQ#9afbc65919a12bd31e467b9e01a43777 ---------------------------------------------------- ERROR: no solution for picto in the first solution ERROR: no solution for picto in the first solution ERROR: no solution for picto in the first solution ----------- result to be analyzed ----------- {'name': 'fromage râpé', 'quantity': 'un peu', 'timeOfTheDay': 'lunch', '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 '% fromage rape %' AND (V_NormTrademark = '' OR V_NormTrademark IS NULL) --> CPU time in DB: 0.1185 seconds Word: Fromage Râpé - dist: 0.27535873651504517 - row: 8532 Word: Fromage Râpé pour Pâtes - dist: 0.4000878632068634 - row: 48455 Word: Fromage de Chèvre Râpé - dist: 0.41217121481895447 - row: 44078 Word: Râpé de Fromages - dist: 0.4123767912387848 - row: 49781 Word: Fromage Râpé de Chèvre - dist: 0.41938239336013794 - row: 23277 Found embedding word: Fromage Râpé 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 = 'Fromage Râpé' ------------- Found solution (max 20) -------------- Fromage Râpé - fromage rape - - Président - 0 - 3228022954454 - 3228022954454 - OFF#b6399ba387da30399314db63ef1fbc48 Fromage Râpé - fromage rape - - Carrefour - 0 - 3560071006655 - 3560071006655 - OFF#deae5acc2ef7179e57332c0d6fdb44f0 Fromage Râpé - fromage rape - - Auchan - 0 - 3596710474561 - 3596710474561 - OFF#ffcdd5ff1978f62f581c6857b53c1523 Fromage Râpé - fromage rape - - Cora - 0 - 5400131542045 - 5400131542045 - OFF#011cd2468f5b9eebc861a2ec75005478 Fromage Râpé - fromage rape - - Carrefour - 0 - 5400101047594 - 3560071006655 - OFF#a705b0277dc9a5aa7fb66b0407d3ac73 Fromage Râpé - fromage rape - - Carrefour - 0 - 5400101047600 - 3560071006655 - OFF#a6ba4c5630dbf4f7eb89334579c6a4d5 Fromage Râpé - fromage rape - - Auchan - 0 - 3596710474592 - 3596710474561 - OFF#60c33613bea3aed964a129fd02fa61f2 Fromage Râpé - fromage rape - - Auchan - 0 - 3596710484454 - 3596710474561 - OFF#767dac00d7819163663ddd98d657c912 Fromage Râpé - fromage rape - - Auchan - 0 - 3596710484447 - 3596710474561 - OFF#e4f7d8097f7300792e1b3ff34371d3a9 Fromage Râpé - fromage rape - - Auchan - 0 - 3596710474585 - 3596710474561 - OFF#efd33a7870a61eb1c934e9264eb49a8f Fromage Râpé - fromage rape - - Auchan - 0 - 3596710476336 - 3596710474561 - OFF#2f069cdc1cc2939953398e6698f6e1cb ---------------------------------------------------- ERROR: no solution for picto in the first solution ERROR: no solution for picto in the first solution ERROR: no solution for picto in the first solution ERROR: no solution for picto in the first solution ERROR: no solution for picto in the first solution ERROR: no solution for picto in the first solution ERROR: no solution for picto in the first solution ERROR: no solution for picto in the first solution ERROR: no solution for picto in the first solution ERROR: no solution for picto in the first solution ERROR: no solution for picto in the first solution --------------------------------- final result ----------------------------------- {'prompt': "Ce midi j'ai mangé un peu de pâtes avec du fromage râpé.", 'model': 'mistral-large-2411', 'imagePath': '', 'intents': ['Identify food and beverage consumption or declaration'], 'solutions': {'nutrition': [{'name': 'Pâté', 'normName': ' pate ', 'comment': '', 'normComment': '', 'rank': 35, 'id': 'CIQ#afa9f7f047da1f15de2883f037186a92', 'quantity': 'un peu', 'quantityLem': '1 peu', 'pack': ['TR5.w150'], 'type': 'food', 'gtin': '', 'gtinRef': '', 'brand': '', 'time': 'lunch', 'event': 'declaration', 'serving': '', 'posiNormName': 0}, {'name': 'Fromage Râpé', 'normName': ' fromage rape ', 'comment': '', 'normComment': '', 'rank': 0, 'id': 'OFF#b6399ba387da30399314db63ef1fbc48', 'quantity': 'un peu', 'quantityLem': '1 peu', 'pack': ['CSL.w5'], 'type': 'food', 'gtin': '3228022954454', 'gtinRef': '3228022954454', 'brand': 'Président', 'time': 'lunch', 'event': 'declaration', 'serving': '', 'posiNormName': 0}], 'activity': [], 'response': {}}, 'cputime': 7.561808824539185} ---------------------------------------------------------------------------------- LLM CPU Time: 7.561808824539185