Input path: /home/debian/html/nutritwin/output_llm/686a651c92105/input.json Output path: /home/debian/html/nutritwin/output_llm/686a651c92105/output.json Input text: Ce matin je suis allé au sport après je suis revenu j'ai mangé un sandwich au jambon avec deux tranches de jambon avec deux tranches de fromage et un oeuf au lui le Dolive que j'ai préparé moi-même et un peu de mayonnaise. 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 matin je suis allé au sport après je suis revenu j'ai mangé un sandwich au jambon avec deux tranches de jambon avec deux tranches de fromage et un oeuf au lui le Dolive que j'ai préparé moi-même et un peu de mayonnaise. ================================================================================================================================== ==================================== 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 matin je suis allé au sport après je suis revenu j'ai mangé un sandwich au jambon avec deux tranches de jambon avec deux tranches de fromage et un oeuf au lui le Dolive que j'ai préparé moi-même et un peu de mayonnaise.###. Format the result in JSON format: {"intents": []}. ========================================================================================= ------------------------------ LLM Raw response ----------------------------- {"intents": ["Identify the user physical activity", "Identify food and beverage consumption or declaration"]} ----------------------------------------------------------------------------- ----------------- Make it compliant ------------------ {"intents": ["Identify the user physical activity", "Identify food and beverage consumption or declaration"]} ------------------------------------------------------ ERROR: wrong object representation: {'intents': ['Identify the user physical activity', 'Identify food and beverage consumption or declaration']} ------------------------ After simplification ------------------------ { "intents": [ "Identify the user physical activity", "Identify food and beverage consumption or declaration" ] } ---------------------------------------------------------------------- ==================================== Prompt ============================================= Convert this natural language query : """Ce matin je suis allé au sport après je suis revenu j'ai mangé un sandwich au jambon avec deux tranches de jambon avec deux tranches de fromage et un oeuf au lui le Dolive que j'ai préparé moi-même et un peu de mayonnaise.""" into an array of JSON of sport or physical activities. Provide a solution in JSON without explanation. Use only the ontology described in this Turtle/RDF model: """ @prefix activity: . @prefix rdfs: . @prefix xsd: . @prefix owl: . @prefix prov: . activity: a owl:Ontology ; rdfs:comment "Definition of the sport and physical activity archetype"@en . activity:name a owl:DatatypeProperty; rdfs:label "name"@en; rdfs:comment "Sport or physical activity identifier, the name should not contain information related to duration.It is mandatory. Ignore the negative action. Keep the same language"@en; rdfs:range xsd:string. activity:duration a owl:DatatypeProperty ; rdfs:label "duration"@en; rdfs:comment "t is the time spent to practise the activity or the sport. This duration must be in minute. If the duration is unknown, set duration to 0. A full day of activity is equivalent to a duration of 8 hours. A half day of activity is equivalent to a duration of 4 hours."@en; rdfs:range xsd:integer. # Define the enumeration class activity:EnumActivity a rdfs:Class . activity:BasketBall a activity:EnumActivity ; rdfs:label "Basket-ball"@fr . activity:Cyclisme a activity:EnumActivity ; rdfs:label "Cyclisme"@fr . activity:Boxe a activity:EnumActivity ; rdfs:label "Boxe"@fr . activity:Danse a activity:EnumActivity ; rdfs:label "Danse"@fr . activity:Zumba a activity:EnumActivity ; rdfs:label "Zumba"@fr . activity:PlongeeSousMarine a activity:EnumActivity ; rdfs:label "Plongée sous-marine"@fr . activity:Escrime a activity:EnumActivity ; rdfs:label "Escrime"@fr . activity:Football a activity:EnumActivity ; rdfs:label "Football"@fr . activity:Jardinage a activity:EnumActivity ; rdfs:label "Jardinage"@fr . activity:Golf a activity:EnumActivity ; rdfs:label "Golf"@fr . activity:Gymnastique a activity:EnumActivity ; rdfs:label "Gymnastique"@fr . activity:Judo a activity:EnumActivity ; rdfs:label "Judo"@fr . activity:Karate a activity:EnumActivity ; rdfs:label "Karaté"@fr . activity:CordeASauter a activity:EnumActivity ; rdfs:label "Corde à sauter"@fr . activity:RameurDAppartement a activity:EnumActivity ; rdfs:label "Rameur d'appartement"@fr . activity:CourseAPied a activity:EnumActivity ; rdfs:label "Course à pied"@fr . activity:FaireLAmour a activity:EnumActivity ; rdfs:label "Faire l'amour"@fr . activity:SkiDeDescente a activity:EnumActivity ; rdfs:label "Ski de descente"@fr . activity:Natation a activity:EnumActivity ; rdfs:label "Natation"@fr . activity:Tennis a activity:EnumActivity ; rdfs:label "Tennis"@fr . activity:TapisDeCourse a activity:EnumActivity ; rdfs:label "Tapis de course"@fr . activity:SkiDeFond a activity:EnumActivity ; rdfs:label "Ski de fond"@fr . activity:VeloDAppartement a activity:EnumActivity ; rdfs:label "Vélo d'appartement"@fr . activity:Aquabiking a activity:EnumActivity ; rdfs:label "Aquabiking"@fr . activity:VeloElliptique a activity:EnumActivity ; rdfs:label "Vélo elliptique"@fr . activity:Equitation a activity:EnumActivity ; rdfs:label "Equitation"@fr . activity:Escalade a activity:EnumActivity ; rdfs:label "Escalade"@fr . activity:PatinsEnLigne a activity:EnumActivity ; rdfs:label "Patins en ligne"@fr . activity:TennisDeTable a activity:EnumActivity ; rdfs:label "Tennis de table"@fr . activity:Marche a activity:EnumActivity ; rdfs:label "Marche"@fr . activity:MarcheAvecUnChien a activity:EnumActivity ; rdfs:label "Marche avec un chien"@fr . activity:TachesMenageres a activity:EnumActivity ; rdfs:label "Tâches ménagères"@fr . activity:MarcheNordique a activity:EnumActivity ; rdfs:label "Marche nordique"@fr . activity:event a owl:DatatypeProperty ; rdfs:label "event"@en; rdfs:comment "Event of eating or drinking. Each must have an event"@en; rdfs:range xsd:string. activity:intent a activity:event ; rdfs:label "intent"@en ; rdfs:comment "When the event should happen"@en. activity:declaration a activity:event ; rdfs:label "declaration"@en ; rdfs:comment "When the event has already occured"@en. activity:unknownEvent a activity:event ; rdfs:label "unknown"@en ; rdfs:comment "When the event is unknown in the day, it is the default value"@en. activity:enumIntensity a rdfs:Class . activity:intensity a owl:DatatypeProperty ; rdfs:label "intensity"@en; rdfs:comment "Sport or activity intensity"@en; rdfs:range activity:enumIntensity . activity:lowLevel a activity:enumIntensity ; rdfs:label "low"@en ; rdfs:comment "When the activity intensity is low"@en. activity:moderateLevel a activity:enumIntensity ; rdfs:label "moderate"@en ; rdfs:comment "When the activity intensity is moderate"@en. activity:highLevel a activity:enumIntensity ; rdfs:label "high"@en ; rdfs:comment "When the activity intensity is high"@en. activity:intenseLevel a activity:enumIntensity ; rdfs:label "intense"@en ; rdfs:comment "When the activity intensity is intense"@en. activity:veryIntenseLevel a activity:enumIntensity ; rdfs:label "very intense"@en ; rdfs:comment "When the activity intensity is very intense or like a daredevil or like a madman or I sweat a lot"@en. activity:unknownLevel a activity:enumIntensity ; rdfs:label "unknown"@en ; rdfs:comment "When the activity intensity is unknown, it is the default value"@en. """ Here is an example of result: [ { "name": "Cyclisme", "duration": 30, "event": "declaration", "intensity": "unknown" }, { "name": "Marche", "duration": 60, "event": "declaration", "intensity": "high" } ] ========================================================================================= ------------------------------ LLM Raw response ----------------------------- [ { "name": "sport", "duration": 0, "event": "declaration", "intensity": "unknown" } ] ----------------------------------------------------------------------------- ----------------- Make it compliant ------------------ [ { "name": "sport", "duration": 0, "event": "declaration", "intensity": "unknown" } ] ------------------------------------------------------ ------------------------ After simplification ------------------------ [ { "name": "sport", "duration": 0, "event": "declaration", "intensity": "unknown" } ] ---------------------------------------------------------------------- --------------------------------- LLM result ----------------------------------- {'response': [{'name': 'sport', 'duration': 0, 'event': 'declaration', 'intensity': 'unknown'}], 'cost': 0.13343999999999998} -------------------------------------------------------------------------------- Warning: no activity found for 'sport' ==================================== Prompt ============================================= Convert this natural language query : """Ce matin je suis allé au sport après je suis revenu j'ai mangé un sandwich au jambon avec deux tranches de jambon avec deux tranches de fromage et un oeuf au lui le Dolive que j'ai préparé moi-même et un peu de mayonnaise.""" 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": "sandwich au jambon", "quantity": "un", "timeOfTheDay": "breakfast", "type": "food", "event": "declaration" }, { "name": "jambon", "quantity": "deux tranches", "timeOfTheDay": "breakfast", "type": "food", "event": "declaration" }, { "name": "fromage", "quantity": "deux tranches", "timeOfTheDay": "breakfast", "type": "food", "event": "declaration" }, { "name": "oeuf", "quantity": "un", "cookingMethod": "au plat", "timeOfTheDay": "breakfast", "type": "food", "event": "declaration" }, { "name": "mayonnaise", "quantity": "un peu", "timeOfTheDay": "breakfast", "type": "food", "event": "declaration" } ] ----------------------------------------------------------------------------- ----------------- Make it compliant ------------------ [ { "name": "sandwich au jambon", "quantity": "un", "timeOfTheDay": "breakfast", "type": "food", "event": "declaration" }, { "name": "jambon", "quantity": "deux tranches", "timeOfTheDay": "breakfast", "type": "food", "event": "declaration" }, { "name": "fromage", "quantity": "deux tranches", "timeOfTheDay": "breakfast", "type": "food", "event": "declaration" }, { "name": "oeuf", "quantity": "un", "cookingMethod": "au plat", "timeOfTheDay": "breakfast", "type": "food", "event": "declaration" }, { "name": "mayonnaise", "quantity": "un peu", "timeOfTheDay": "breakfast", "type": "food", "event": "declaration" } ] ------------------------------------------------------ ------------------------ After simplification ------------------------ [ { "name": "sandwich au jambon", "quantity": "un", "timeOfTheDay": "breakfast", "type": "food", "event": "declaration" }, { "name": "jambon", "quantity": "deux tranches", "timeOfTheDay": "breakfast", "type": "food", "event": "declaration" }, { "name": "fromage", "quantity": "deux tranches", "timeOfTheDay": "breakfast", "type": "food", "event": "declaration" }, { "name": "oeuf", "quantity": "un", "cookingMethod": "au plat", "timeOfTheDay": "breakfast", "type": "food", "event": "declaration" }, { "name": "mayonnaise", "quantity": "un peu", "timeOfTheDay": "breakfast", "type": "food", "event": "declaration" } ] ---------------------------------------------------------------------- --------------------------------- LLM result ----------------------------------- {'response': [{'name': 'sandwich au jambon', 'quantity': 'un', 'timeOfTheDay': 'breakfast', 'type': 'food', 'event': 'declaration'}, {'name': 'jambon', 'quantity': 'deux tranches', 'timeOfTheDay': 'breakfast', 'type': 'food', 'event': 'declaration'}, {'name': 'fromage', 'quantity': 'deux tranches', 'timeOfTheDay': 'breakfast', 'type': 'food', 'event': 'declaration'}, {'name': 'oeuf', 'quantity': 'un', 'cookingMethod': 'au plat', 'timeOfTheDay': 'breakfast', 'type': 'food', 'event': 'declaration'}, {'name': 'mayonnaise', 'quantity': 'un peu', 'timeOfTheDay': 'breakfast', 'type': 'food', 'event': 'declaration'}], 'cost': 0.1299} -------------------------------------------------------------------------------- ----------- result to be analyzed ----------- {'name': 'sandwich au jambon', 'quantity': 'un', 'timeOfTheDay': 'breakfast', '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 '% sandwich jambon %' AND (V_NormTrademark = '' OR V_NormTrademark IS NULL) --> CPU time in DB: 0.1351 seconds Word: Sandwich au Jambon et Fromage - dist: 0.42710641026496887 - row: 58066 Word: Sandwich au Jambon Cuit Supérieur et au Beurre - dist: 0.4899680018424988 - row: 41244 Word: Sandwich Jambon Cuit - dist: 0.506109356880188 - row: 54886 Word: Sandwich Jambon Fromage - dist: 0.5079638957977295 - row: 14220 Word: Sandwich Jambon Beurre - dist: 0.5186955332756042 - row: 7591 Found embedding word: Sandwich au Jambon et Fromage 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 = 'Sandwich au Jambon et Fromage' ------------- Found solution (max 20) -------------- Sandwich au Jambon et Fromage - sandwich jambon fromage - - Coop - 0 - 7610807001419 - 7610807001419 - OFF#b55f1a83012fa70fb7d8a3f489afde65 ---------------------------------------------------- ----------- result to be analyzed ----------- {'name': 'jambon', 'quantity': 'deux tranches', 'timeOfTheDay': 'breakfast', '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 '% jambon %' AND (V_NormTrademark = '' OR V_NormTrademark IS NULL) ------------- Found solution (max 20) -------------- Jambon Cru - jambon cru - - - 9885 - - - CIQ#64b8482a5f9494f91650a6dfbb0cd41e Jambon Sec - jambon sec - - - 0 - - - CIQ#96c8fe38103fc721a15cfe55d6e25c6f Jambon Cru - jambon cru - fumé - - 268 - - - CIQ#5f3f73264b7c8e8500821bffaac09aee Jambon Sec - jambon sec - découenné, dégraissé - - 293 - - - CIQ#25959c69f01c1f2120ccc677017fa727 Jambon Cru - jambon cru - fumé, allégé en matière grasse - - 0 - - - CIQ#f647a53f900ffb0f8b6bcc1b9daac3fd Jambon Fumé - jambon fume - - - 1235 - - - KCA#b89a3b14af6277985c3d77e8a43fd3a7 Jambon Cuit - jambon cuit - fumé - - 130 - - - CIQ#17ca7e15b0319f1e287cbd0bcf02e149 Jambon Cuit - jambon cuit - choix - - 0 - - - CIQ#31a3ba17bd765304c35083900245a906 Jambon Cuit - jambon cuit - supérieur - - 879 - - - CIQ#62b09fb38df99e94d05d097272b0f943 Jambon Cuit - jambon cuit - choix, avec couenne - - 0 - - - CIQ#c197beb44fda0f03581cdd01ee751078 Jambon Cuit - jambon cuit - supérieur, découenné - - 0 - - - CIQ#a4feb0298e2ed9bf7086021f843d5542 Jambon Cuit - jambon cuit - supérieur, avec couenne - - 0 - - - CIQ#44f954aa2607fc98de99e42c7a2f34f0 Jambon Cuit - jambon cuit - choix, découenné dégraissé - - 0 - - - CIQ#1bdbfa77737e32f3afd8b85235c13da8 Jambon Cuit - jambon cuit - de Paris, découenné dégraissé - - 0 - - - CIQ#2204461860d60e77475581012d525590 Jambon Cuit - jambon cuit - supérieur, découenné dégraissé - - 0 - - - CIQ#7fe80de772280767444b552c0124ab0f Jambon Cuit - jambon cuit - supérieur, à teneur réduite en sel - - 0 - - - CIQ#f6e3b7457066170ebc96fe96171fba23 Jambon Blanc - jambon blanc - - - 41088 - - - KCA#a2c3580fad4917288fe40406fb88cadb Jambon Bayonne - jambon bayonne - - - 2108 - - - KCA#a7501ed926d61fc6282a9dc417593554 Jambon Persillé - jambon persille - - - 315 - - - KCA#a68e12a46f2795c6c267b411dd8111f4 Jambon de Poulet - jambon de poulet - - - 5421 - - - KCA#8a8c7fe60575ff37bd0a2f58c58a75a0 ---------------------------------------------------- ----------- result to be analyzed ----------- {'name': 'fromage', 'quantity': 'deux tranches', 'timeOfTheDay': 'breakfast', '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 %' AND (V_NormTrademark = '' OR V_NormTrademark IS NULL) ------------- Found solution (max 20) -------------- Fromage - fromage - - - 23096 - - - KCA#e2646df35885ba5fc75c406a551c9fbc Fromage 45% MG - fromage 45% mg - - - 6874 - - - KCA#14ed2b0745972d44df97c5d52a44ac69 Fromage 20% MG - fromage 20% mg - - - 1124 - - - KCA#e32d6c98bf1d5f0a3c853a8f6bb7c3b3 Fromage 70% MG - fromage 70% mg - - - 494 - - - KCA#351b50fec02ae7c43d964985ac9086c6 Fromage de Tête - fromage de tete - - - 258 - - - CIQ#a80997979cdf84066ed5ed98f0291aef Fromage de Chèvre - fromage de chevre - - - 4537 - - - KCA#87a40b8f006dcb11aafd4e97014ed3f4 Fromage de Brebis - fromage de brebi - pâte pressée - - 0 - - - KCA#58787aec327646598cc7785b49eea77a Fromage de Brebis - fromage de brebi - pâte molle à croûte fleurie - - 0 - - - KCA#a463c1fc485a4f9d296ce6817ce2c361 Fromage de Chèvre - fromage de chevre - lactique affiné, au lait cru type Crottin - - 250 - - - KCA#2c01ba493c1fac82cabb393f8f3648a7 Fromage Frais 0% MG - fromage frai 0% mg - - - 519 - - - KCA#88f1992eded597fa4d19465f74683774 Fromage Fondu 25% MG - fromage fondu 25% mg - - - 3246 - - - KCA#d149670a9548a1b193a2c41eca41b75f Fromage Frais 30% MG - fromage frai 30% mg - - - 145 - - - KCA#7925728898a08e85f13745b60bc71320 Fromage Fondu 45% MG - fromage fondu 45% mg - - - 95 - - - KCA#6d8e1e183c61d211654c306cf3835256 Fromage Frais 20% MG - fromage frai 20% mg - - - 81 - - - KCA#0c277d2e26315ef0b610a1ac6f0b2c8f Fromage Fondu 70% MG - fromage fondu 70% mg - - - 55 - - - KCA#4310db392dfdcff70718326fee922034 Fromage Fondu 65% MG - fromage fondu 65% mg - - - 52 - - - KCA#df8a055eb661bce01be58e63581e3ace Fromage Blanc Nature - fromage blanc nature - 0% MG - - 24178 - - - CIQ#36c17f9437be97fba469ea7cd5441d75 Fromage Blanc Nature - fromage blanc nature - 3% MG environ - - 10606 - - - CIQ#4a1c07f162d63ff83801c1fb767aafcf Fromage Blanc Nature - fromage blanc nature - gourmand, 8% MG environ - - 0 - - - CIQ#4ec95c0d5d5444677063a6486af1e1c9 Fromage Fondu aux Noix - fromage fondu au noix - - - 23 - - - KCA#849bff96c14abb755613ff11508fe7c9 ---------------------------------------------------- ERROR: no solution for picto in the first solution ----------- result to be analyzed ----------- {'name': 'oeuf', 'quantity': 'un', 'cookingMethod': 'au plat', 'timeOfTheDay': 'breakfast', '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 '% oeuf %' AND (V_NormTrademark = '' OR V_NormTrademark IS NULL) ------------- Found solution (max 20) -------------- Oeuf - oeuf - cru - - 177 - - - CIQ#89c78a1c04879b2ae973694f50092c79 Oeuf - oeuf - dur - - 0 - - - CIQ#fda269f79263c80adf5b9b2c3c29c1d7 Oeuf - oeuf - poché - - 0 - - - CIQ#8d04a52d9c575bdba000c6f1cf343ab0 Oeuf - oeuf - en poudre - - 0 - - - CIQ#f4b4ef030ae3fcf5bbfea0a792a9ab66 Oeuf - oeuf - à la coque - - 3414 - - - CIQ#37567ba433b1d5278fcb1a7813128c96 Oeuf - oeuf - blanc, blanc d'oeuf - - 0 - - - CIQ#f8541a0a53cfc718c4be702af74b13a6 Oeuf - oeuf - jaune, jaune d'oeuf - - 0 - - - CIQ#caff0c1a1a02e4d086dd987b784e898a Oeuf - oeuf - au plat, frit, salé - - 0 - - - CIQ#f9852838d9a21ae4940ea5102b58e8d1 Oeuf - oeuf - blanc, blanc d'oeuf, cru - - 0 - - - CIQ#91658f86dcc6220b09b2ffc7d5e4d309 Oeuf - oeuf - jaune, jaune d'oeuf, cru - - 0 - - - CIQ#cab44469339c33f14bf4c536019e8f57 Oeuf - oeuf - au plat, sans matière grasse - - 0 - - - CIQ#36e518c64c0e0c5a908f4674e1587a9c Oeuf - oeuf - brouillé, avec matière grasse - - 0 - - - CIQ#89ffd23269a5b9a6910f6a7bb1a17945 Oeuf - oeuf - blanc, blanc d'oeuf, en poudre - - 0 - - - CIQ#6dc23efe8a247a89ac865e3539278bb1 Oeuf - oeuf - jaune, jaune d'oeuf, en poudre - - 0 - - - CIQ#20ab10b969e15e835fce7d54c1815eeb Oeuf Dur - oeuf dur - - - 34213 - - - KCA#0c9196f2d28e211ac0aeb81d4c9361a9 Oeuf Poché - oeuf poche - - - 645 - - - KCA#1759edc574d011bf3a8af743ed941e6e Oeuf d'Oie - oeuf oie - cru - - 0 - - - CIQ#d5a0273c1cb314a819952b4272379b24 Oeuf Miroir - oeuf miroir - - - 11945 - - - KCA#5cf9cdac852c9777e406442fcfd51315 Oeufs Panés - oeuf pane - - - 15 - - - KCA#476eea019750878ec03fbc60bcfa9020 Oeufs Frits - oeuf frit - aux Tomates Provençales - - 13 - - - KCA#1939ad70c8a272d6285ac0509778f087 ---------------------------------------------------- ----------- result to be analyzed ----------- {'name': 'mayonnaise', 'quantity': 'un peu', 'timeOfTheDay': 'breakfast', '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 '% mayonnaise %' AND (V_NormTrademark = '' OR V_NormTrademark IS NULL) ------------- Found solution (max 20) -------------- Mayonnaise - mayonnaise - - - 10947 - - - KCA#f730f0a51c023e7391c34448b45fae40 Mayonnaise Piquante - mayonnaise piquante - - - 22 - - - KCA#112f3302bf7b965d8aa0a3d19f569e36 Mayonnaise à l'Huile de Tournesol - mayonnaise huile de tournesol - - - 181 - - - KCA#050ac243eafcff755bc4f515e10a1560 Mayonnaise Allégée en Matières Grasses - mayonnaise allegee en matiere grasse - - - 510 - - - KCA#d64a40af3fef944c351452c9849a32cf Moules à la Mayonnaise - moule mayonnaise - - - 18 - - - KCA#d897514f209bce30c3e937c4d5b460da Oeufs Durs Mayonnaise - oeuf dur mayonnaise - - - 663 - - - KCA#83f10a89cbed801d608ea90ed01c9822 Crevettes à la Mayonnaise - crevette mayonnaise - - - 53 - - - KCA#008a9811e12a43807907909aad094d60 Langouste Mayonnaise - langouste mayonnaise - - - 7 - - - KCA#e959d71726baa72432e3c3feba5b0975 Langues de Mouton à la Mayonnaise - langue de mouton mayonnaise - - - 1 - - - KCA#14f65e5fe485252b36546e4beef2c460 ---------------------------------------------------- ERROR: no solution for picto in the first solution --------------------------------- final result ----------------------------------- {'prompt': "Ce matin je suis allé au sport après je suis revenu j'ai mangé un sandwich au jambon avec deux tranches de jambon avec deux tranches de fromage et un oeuf au lui le Dolive que j'ai préparé moi-même et un peu de mayonnaise.", 'model': 'mistral-large-2411', 'imagePath': '', 'intents': ['Identify the user physical activity', 'Identify food and beverage consumption or declaration'], 'solutions': {'nutrition': [{'name': 'Sandwich au Jambon et Fromage', 'normName': ' sandwich jambon fromage ', 'comment': '', 'normComment': '', 'rank': 0, 'id': 'OFF#b55f1a83012fa70fb7d8a3f489afde65', 'quantity': 'un', 'quantityLem': '1', 'pack': ['SAN.w150'], 'type': 'food', 'gtin': '7610807001419', 'gtinRef': '7610807001419', 'brand': 'Coop', 'time': 'breakfast', 'event': 'declaration', 'serving': 'SAN-100', 'posiNormName': 0}, {'name': 'Jambon Cru', 'normName': ' jambon cru ', 'comment': '', 'normComment': '', 'rank': 9885, 'id': 'CIQ#64b8482a5f9494f91650a6dfbb0cd41e', 'quantity': 'deux tranches', 'quantityLem': '2 tranche', 'pack': ['TR3.w25'], 'type': 'food', 'gtin': '', 'gtinRef': '', 'brand': '', 'time': 'breakfast', 'event': 'declaration', 'serving': 'TR3-200', 'posiNormName': 0}, {'name': 'Fromage', 'normName': ' fromage ', 'comment': '', 'normComment': '', 'rank': 23096, 'id': 'KCA#e2646df35885ba5fc75c406a551c9fbc', 'quantity': 'deux tranches', 'quantityLem': '2 tranche', 'pack': ['CAM.w20', 'GRU.w20', 'MIM.w20', 'ROC.w20', 'CH2.w20'], 'type': 'food', 'gtin': '', 'gtinRef': '', 'brand': '', 'time': 'breakfast', 'event': 'declaration', 'serving': '', 'posiNormName': 0}, {'name': 'Oeuf', 'normName': ' oeuf ', 'comment': 'cru', 'normComment': ' cru ', 'rank': 177, 'id': 'CIQ#89c78a1c04879b2ae973694f50092c79', 'quantity': 'un', 'quantityLem': '1', 'pack': ['OEU.w60'], 'type': 'food', 'gtin': '', 'gtinRef': '', 'brand': '', 'time': 'breakfast', 'event': 'declaration', 'serving': 'OEU-100', 'posiNormName': 0}, {'name': 'Mayonnaise', 'normName': ' mayonnaise ', 'comment': '', 'normComment': '', 'rank': 10947, 'id': 'KCA#f730f0a51c023e7391c34448b45fae40', 'quantity': 'un peu', 'quantityLem': '1 peu', 'pack': ['MAY.w15', 'CSS.w15'], 'type': 'food', 'gtin': '', 'gtinRef': '', 'brand': '', 'time': 'breakfast', 'event': 'declaration', 'serving': '', 'posiNormName': 0}], 'activity': [], 'response': {}}, 'cputime': 6.761838436126709} ---------------------------------------------------------------------------------- LLM CPU Time: 6.761838436126709