Input path: /home/debian/html/nutritwin/output_llm/67115b11699d6/input.json Output path: /home/debian/html/nutritwin/output_llm/67115b11699d6/output.json Input text: Soupe de légumes deux cuillères à soupe de graines de chia et une deux cuillères à soupe de graines de courge. 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: Soupe de légumes deux cuillères à soupe de graines de chia et une deux cuillères à soupe de graines de courge. ================================================================================================================================== ==================================== Prompt ============================================= Identify in this list of intents: ["Identify food consumption or declaration", "Identify the user physical activity", "Answer a nutrition question", "Other intent"], the intents of the prompt: ###Soupe de légumes deux cuillères à soupe de graines de chia et une deux cuillères à soupe de graines de courge.###. Format the result in JSON format: {intents: []}. ========================================================================================= ------------------------------ LLM Raw response ----------------------------- ```json { "intents": ["Identify food consumption or declaration"] } ``` ----------------------------------------------------------------------------- ----------------- Make it compliant ------------------ ```json { "intents": ["Identify food consumption or declaration"] } ``` ------------------------------------------------------ ------------------------ After simplification ------------------------ { "intents": ["Identify food consumption or declaration"]} ---------------------------------------------------------------------- ==================================== Prompt ============================================= Convert this natural language query : """Soupe de légumes deux cuillères à soupe de graines de chia et une deux cuillères à soupe de graines de courge.""" into an array in JSON of consumed foods and beverages. Provide a solution without explanation. Use only the 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. Keep the same language"@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 examples in french: '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. Keep the same language"@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. """ ========================================================================================= ------------------------------ LLM Raw response ----------------------------- ```json [ { "name": "Soupe de légumes", "quantity": "un bol", "type": "food", "event": "declaration" }, { "name": "graines de chia", "quantity": "deux cuillères à soupe", "type": "food", "event": "declaration" }, { "name": "graines de courge", "quantity": "deux cuillères à soupe", "type": "food", "event": "declaration" } ] ``` ----------------------------------------------------------------------------- ----------------- Make it compliant ------------------ ```json [ { "name": "Soupe de légumes", "quantity": "un bol", "type": "food", "event": "declaration" }, { "name": "graines de chia", "quantity": "deux cuillères à soupe", "type": "food", "event": "declaration" }, { "name": "graines de courge", "quantity": "deux cuillères à soupe", "type": "food", "event": "declaration" } ] ``` ------------------------------------------------------ ------------------------ After simplification ------------------------ [ { "name": "Soupe de légumes", "quantity": "un bol", "type": "food", "event": "declaration" }, { "name": "graines de chia", "quantity": "deux cuillères à soupe", "type": "food", "event": "declaration" }, { "name": "graines de courge", "quantity": "deux cuillères à soupe", "type": "food", "event": "declaration" }] ---------------------------------------------------------------------- --------------------------------- LLM result ----------------------------------- {'response': [{'name': 'Soupe de légumes', 'quantity': 'un bol', 'type': 'food', 'event': 'declaration'}, {'name': 'graines de chia', 'quantity': 'deux cuillères à soupe', 'type': 'food', 'event': 'declaration'}, {'name': 'graines de courge', 'quantity': 'deux cuillères à soupe', 'type': 'food', 'event': 'declaration'}], 'cost': 0.0} -------------------------------------------------------------------------------- ----------- result to be analyzed ----------- {'name': 'Soupe de légumes', 'quantity': 'un bol', '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 '% soupe de legume %' AND (V_NormTrademark = '' OR V_NormTrademark IS NULL) ------------- Found solution (max 20) -------------- Soupe de Légumes - soupe de legume - de légumes - - 0 - - - KCA#ffb1f50ec43d9ad3f79c5e0b99990d09 Soupe de Légumes Maison - soupe de legume maison - légumes maison - - 0 - - - KCA#3e7eb263f9dded7d1a7aeafa23d46e83 ---------------------------------------------------- ----------- result to be analyzed ----------- {'name': 'graines de chia', 'quantity': 'deux cuillères à soupe', '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 '% graine de chia %' 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_NormAggr LIKE '% graine de chia %' AND V_NormTrademark LIKE '%%' ------------- Found solution (max 20) -------------- l'Étonnante Pêche - etonnante peche - - Casino - 0 - 3222476987631 - 3222476987631 - OFF#df8aac5e953cf9723b19e977409492ea Perles de Chia Framboise - perle de chia framboise - - Monoprix - 0 - 3350033450448 - 3350033450448 - OFF#4052c592023a8c52c6cbd24f74364ad7 Biscuit Chia Saveur Citron - biscuit chia saveur citron - - Auchan - 0 - 3596710493388 - 3596710493388 - OFF#cd61459ffaf00ce3b2f611247801e335 Le Pouvoir des Fruits Bien Être - pouvoir de fruit bien etre - - St Mamet - 0 - 3080920994648 - 3080920994648 - OFF#02ca387630ae132d03c80195aafce7fb Activia sans Sucre Ajoute Mangue Coco Chiax 4 - activia san sucre ajoute mangue coco chia - - Danone - 0 - 3033491601736 - 3033491601736 - OFF#e3856a7645f8ca826dbcee4a4fdb7db8 Activia sans Sucre Ajoute Poire Figue Chiax 4 - activia san sucre ajoute poire figue chia - - Danone - 0 - 3033491601750 - 3033491601750 - OFF#5538a615c73cc19bc1811a2fe9bfd962 Graines de Chia - graine de chia - - Leclerc - 0 - 0230289016144 - 0230289016144 - OFF#8e669b52f41d454795d5619a46d8b828 Graines de Chia - graine de chia - - Vahiné - 0 - 3179142058396 - 3179142058396 - OFF#368681590ba4e2c7a1df91266a2ea228 Graines de Chia - graine de chia - - La Vie Claire - 0 - 3266191013312 - 3266191013312 - OFF#909a057ced0e4e67a025bae95e9bb8a3 Graines de Chia - graine de chia - - La Pâtelière - 0 - 3278584350133 - 3278584350133 - OFF#b46fb109d278cd5a865507a19149a3d9 Graines de Chia - graine de chia - - Moulin des Moines - 0 - 3347430024662 - 3347430024662 - OFF#dab36c871f4ef73c6e86f3367fd9b496 Graines de Chia - graine de chia - - Monoprix - 0 - 3350033500365 - 3350033500365 - OFF#a629fcb084804ba68c302001aa00d9f5 Graines de Chia - graine de chia - - Jardin Bio - 0 - 3456300004410 - 3456300004410 - OFF#210954fa513775eaa1ef95cbd33364f7 Graines de Chia - graine de chia - - Carrefour - 0 - 3560071270773 - 3560071270773 - OFF#d586ddd71a82558edd167575d97cba70 Graines de Chia - graine de chia - - Cora - 0 - 5400134407402 - 5400134407402 - OFF#ef8bc58655295e1329968129c0b85119 Graines de Chia - graine de chia - - Spar - 0 - 5400210188126 - 5400210188126 - OFF#fe14827055d480bab0497ce63fd151eb Graines de Chia - graine de chia - - La Vie Claire - 0 - 3266191035345 - 3266191013312 - OFF#70cd076ebbd2d2ad62feca25bf749b47 Graines de Chia - graine de chia - - Jardin Bio - 0 - 3456300004878 - 3456300004410 - OFF#c6144afc7dd08f08122f6c752f512225 Graines de Chia - graine de chia - - Carrefour - 0 - 5400101069053 - 3560071270773 - OFF#5bb4ac78f3c4dd94e32c0fb96258e43f Graines de Chia BIO - graine de chia bio - - La Vie Claire - 0 - 3266191027579 - 3266191027579 - OFF#cbd6275ba7374d476aaa3294f528a87d ---------------------------------------------------- ERROR: no solution for picto in the first solution ----------- result to be analyzed ----------- {'name': 'graines de courge', 'quantity': 'deux cuillères à soupe', '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 '% graine de courge %' AND (V_NormTrademark = '' OR V_NormTrademark IS NULL) ------------- Found solution (max 20) -------------- Graines de Courge - graine de courge - - - 1636 - - - KCA#2061b181ecf1f65f4ebb0c0153fd1d84 ---------------------------------------------------- ERROR: no solution for picto in the first solution --------------------------------- final result ----------------------------------- {'prompt': 'Soupe de légumes deux cuillères à soupe de graines de chia et une deux cuillères à soupe de graines de courge.', 'intents': ['Identify food consumption or declaration'], 'model': 'gpt-4o-2024-05-13', 'solutions': {'nutrition': [{'name': 'Soupe de Légumes', 'normName': ' soupe de legume ', 'comment': 'de légumes', 'normComment': ' de legume ', 'rank': 0, 'id': 'KCA#ffb1f50ec43d9ad3f79c5e0b99990d09', 'quantity': 'un bol', 'quantityLem': '1 bol', 'pack': ['MUG', 'TAS', 'ACR', 'BOL'], 'type': 'food', 'gtin': '', 'gtinRef': '', 'brand': '', 'time': '', 'event': 'declaration', 'serving': 'MUG-1bol', 'posiNormName': 0}, {'name': "l'Étonnante Pêche", 'normName': ' etonnante peche ', 'comment': '', 'normComment': '', 'rank': 0, 'id': 'OFF#df8aac5e953cf9723b19e977409492ea', 'quantity': 'deux cuillères à soupe', 'quantityLem': '2 cuillere soupe', 'pack': ['CCL.w10'], 'type': 'food', 'gtin': '3222476987631', 'gtinRef': '3222476987631', 'brand': 'Casino', 'time': '', 'event': 'declaration', 'serving': '', 'posiNormName': -1}, {'name': 'Graines de Courge', 'normName': ' graine de courge ', 'comment': '', 'normComment': '', 'rank': 1636, 'id': 'KCA#2061b181ecf1f65f4ebb0c0153fd1d84', 'quantity': 'deux cuillères à soupe', 'quantityLem': '2 cuillere soupe', 'pack': ['POG.w25'], 'type': 'food', 'gtin': '', 'gtinRef': '', 'brand': '', 'time': '', 'event': 'declaration', 'serving': '', 'posiNormName': 0}], 'activity': [], 'response': {}}, 'cputime': 2.871579885482788} ---------------------------------------------------------------------------------- LLM CPU Time: 2.871579885482788