Input path: /home/debian/html/nutritwin/output_llm/67235b89d0a55/input.json Output path: /home/debian/html/nutritwin/output_llm/67235b89d0a55/output.json Input text: J'ai mangé un mini croissant et un verre de jus do. 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: J'ai mangé un mini croissant et un verre de jus do. ================================================================================================================================== ==================================== 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: ###J'ai mangé un mini croissant et un verre de jus do.###. 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 : """J'ai mangé un mini croissant et un verre de jus do.""" 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": "mini croissant", "quantity": "un", "type": "food", "event": "declaration" }, { "name": "jus", "quantity": "un verre", "type": "beverage", "event": "declaration" } ] ``` ----------------------------------------------------------------------------- ----------------- Make it compliant ------------------ ```json [ { "name": "mini croissant", "quantity": "un", "type": "food", "event": "declaration" }, { "name": "jus", "quantity": "un verre", "type": "beverage", "event": "declaration" } ] ``` ------------------------------------------------------ ------------------------ After simplification ------------------------ [ { "name": "mini croissant", "quantity": "un", "type": "food", "event": "declaration" }, { "name": "jus", "quantity": "un verre", "type": "beverage", "event": "declaration" }] ---------------------------------------------------------------------- --------------------------------- LLM result ----------------------------------- {'response': [{'name': 'mini croissant', 'quantity': 'un', 'type': 'food', 'event': 'declaration'}, {'name': 'jus', 'quantity': 'un verre', 'type': 'beverage', 'event': 'declaration'}], 'cost': 0.0} -------------------------------------------------------------------------------- ----------- result to be analyzed ----------- {'name': 'mini croissant', 'quantity': 'un', '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 '% mini croissant %' 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 '% mini croissant %' AND V_NormTrademark LIKE '%%' ------------- Found solution (max 20) -------------- Mini Croissants Aperitifs - mini croissant aperitif - - Picard - 0 - 3270160890095 - 3270160890095 - OFF#8f60204712ef2de3a40d7e51bf3ea0ca Mini Croissants Pur Beurre - mini croissant pur beurre - - Intermarché - 0 - 3250392291426 - 3250392291426 - OFF#727597fa8b00276c0cd5593c83f6031b 10 Mini Croissants - 10 mini croissant - - Les Mousquetaires - 0 - 3250392291518 - 3250392291518 - OFF#253d2f8c2f2f36b9402e28fa5126920e 10 Mini Croissants Pur Beurre - 10 mini croissant pur beurre - - Picard - 0 - 3270160367436 - 3270160367436 - OFF#a0bc504a7ec8f184f99281c09457d7a6 10 Mini Croissants Pur Beurre Prêts à Cuire - 10 mini croissant pur beurre pret cuire - - Picard - 0 - 3270160822249 - 3270160822249 - OFF#ae8a101fe3431163028285b8332e516b Mini Viennoiseries Pur Beurre 6 Mini Croissants 6 Mini Pains au Chocolat Surgelés - mini viennoiserie pur beurre mini croissant mini pain chocolat surgele - - Leader Price - 0 - 3263859938215 - 3263859938215 - OFF#c64bff0e7417a83844f70566c172b950 ---------------------------------------------------- ----------- result to be analyzed ----------- {'name': 'jus', 'quantity': 'un verre', 'type': 'beverage', '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 '% ju %' AND (V_NormTrademark = '' OR V_NormTrademark IS NULL) ------------- Found solution (max 20) -------------- Jus d'Orange - ju orange - - - 52983 - - - KCA#da7a1f81a8cd82dbbbbbedf56a167258 Jus de Pomme - ju de pomme - - - 5331 - - - KCA#f805c701058d171b01fe7c13c2ab4d31 Jus d'Ananas - ju anana - - - 1944 - - - KCA#9ff42045ee037436c3084734ea5475ce Jus de Poire - ju de poire - - - 187 - - - KCA#71115bfedc68c12d1c795b934a2821ad Jus d'Ananas - ju anana - pur jus - - 0 - - - CIQ#87489666263b0450dc89c49d1c2a2586 Jus de Pomme - ju de pomme - pur jus - - 0 - - - CIQ#14ada1fd1e44724804c9c14343ecc069 Jus d'Orange - ju orange - pur jus - - 0 - - - CIQ#a4328be11b7e0fb0c4474532724cf38f Jus d'Ananas - ju anana - Orange et Fraise - - 34 - - - KCA#6a765e4914bd695065658d9b4bac230a Jus d'Ananas - ju anana - Gingembre et Menthe - - 19 - - - KCA#ddfccec01571a460df8b13606c377cdd Jus d'Orange - ju orange - à base de concentré - - 0 - - - CIQ#72928c242781a6ee15266175037b3fb8 Jus d'Ananas - ju anana - à base de concentré - - 0 - - - CIQ#e37224c47a179b893a9e13810c5e37e8 Jus de Pomme - ju de pomme - à base de concentré - - 0 - - - CIQ#239a56c8ec5ca7b7abab5ccac08c013c Jus de Citron - ju de citron - - - 6694 - - - KCA#ca49f6c4373fc74997f5057c400c2abb Jus de Mangue - ju de mangue - - - 427 - - - KCA#4af8e90e05cd28e5373c4b1e8be6f9ab Jus de Fraise - ju de fraise - - - 261 - - - KCA#4fdf0443bdabb9f07e0c95aee4fadd2c Jus de Goyave - ju de goyave - - - 170 - - - KCA#3fe316834375758df177d55b8de9c92c Jus de Cassis - ju de cassi - - - 71 - - - KCA#23b128bf16a4ca6a1f60e0303a428cbc Jus de Fruits - ju de fruit - - - 51 - - - CIQ#a740777e72c384dcba7dd70e15139791 Jus de Raisin - ju de raisin - pur jus - - 0 - - - CIQ#17080b63b0236dd627893c70c6cfd9b6 Jus de Fruits - ju de fruit - aliment moyen - - 768 - - - KCA#fdb98f58ffd5e3edc1e3418dd7ad6c33 ---------------------------------------------------- --------------------------------- final result ----------------------------------- {'prompt': "J'ai mangé un mini croissant et un verre de jus do.", 'intents': ['Identify food consumption or declaration'], 'model': 'gpt-4o-2024-05-13', 'solutions': {'nutrition': [{'name': 'Mini Croissants Aperitifs', 'normName': ' mini croissant aperitif ', 'comment': '', 'normComment': '', 'rank': 0, 'id': 'OFF#8f60204712ef2de3a40d7e51bf3ea0ca', 'quantity': 'un', 'quantityLem': '1', 'pack': ['FEU.w100'], 'type': 'food', 'gtin': '3270160890095', 'gtinRef': '3270160890095', 'brand': 'Picard', 'time': '', 'event': 'declaration', 'serving': 'FEU-100', 'posiNormName': 0}, {'name': "Jus d'Orange", 'normName': ' ju orange ', 'comment': '', 'normComment': '', 'rank': 52983, 'id': 'KCA#da7a1f81a8cd82dbbbbbedf56a167258', 'quantity': 'un verre', 'quantityLem': '1 verre', 'pack': ['VA4', 'VA3', 'VA2', 'VX1', 'GOB', 'LDK'], 'type': 'beverage', 'gtin': '', 'gtinRef': '', 'brand': '', 'time': '', 'event': 'declaration', 'serving': 'VA4-100', 'posiNormName': 0}], 'activity': [], 'response': {}}, 'cputime': 1.551898717880249} ---------------------------------------------------------------------------------- LLM CPU Time: 1.551898717880249