Input path: /home/debian/html/nutritwin/output_llm/664bb5194919c/input.json Output path: /home/debian/html/nutritwin/output_llm/664bb5194919c/output.json Input text: J'ai mangé un sandwich au jambon 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 sandwich au jambon ================================================================================================================================== ==================================== 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 sandwich au jambon###. 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 sandwich au jambon""" 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 drink identifier, the name should not contain information related to quantity or container (like glass...). The cooking mode is not in the name. When the brand is very well-known (ex: Activia, Coca-Cola), the name is equal to the brand. 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. When the 'brand' is not specified and, the food or beverage is very well-known (like 'Coca-Cola'), provide the brand name in 'brand', otherwise set 'brand' to ''."@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": "sandwich au jambon", "type": "food", "event": "declaration" } ] ``` ----------------------------------------------------------------------------- ----------------- Make it compliant ------------------ ```json [ { "name": "sandwich au jambon", "type": "food", "event": "declaration" } ] ``` ------------------------------------------------------ ------------------------ After simplification ------------------------ [ { "name": "sandwich au jambon", "type": "food", "event": "declaration" }] ---------------------------------------------------------------------- --------------------------------- LLM result ----------------------------------- {'response': [{'name': 'sandwich au jambon', 'type': 'food', 'event': 'declaration'}], 'cost': 0.0} -------------------------------------------------------------------------------- ----------- result to be analyzed ----------- {'name': 'sandwich au jambon', '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) 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 '% sandwich jambon %' AND V_NormTrademark LIKE '%%' ------------- Found solution (max 20) -------------- Croque Monsieur - croque monsieur - - Starbucks - 0 - 3700365092791 - 3700365092791 - OFF#f680b2833f2d16fdc8fa21bc2f5051f4 Pain Polaire Surprise - pain polaire surprise - - Carrefour - 0 - 3560071067533 - 3560071067533 - OFF#7ba281b28490d1d425d5448caff19ce7 Le Jambon Fumé Comté AOP - jambon fume comte aop - - Monoprix - 0 - 3350033274808 - 3350033274808 - OFF#576130ad3aa43ec111c1e2d5eaf88a05 Jambon Cheddar et Roquette - jambon cheddar roquette - - Monoprix - 0 - 3350033199552 - 3350033199552 - OFF#59768325df841c07684b18e39df6b5e9 Le Petit Viennois Jambon Beurre - petit viennoi jambon beurre - - Monoprix - 0 - 3350033183070 - 3350033183070 - OFF#ac467c1ee45336a8940d95d9e9a8f579 Simple et Bon Complet Jambon Beurre - simple bon complet jambon beurre - - Sodebo - 0 - 3242272861058 - 3242272861058 - OFF#1ed117a739d3bed3cbc7650c4afc49d0 Xxl 3 Jambon Emmental Salade 1 Gratuit - xxl jambon emmental salade gratuit - - Daunat - 0 - 3367651003680 - 3367651003680 - OFF#fdb69ad3194c5dc60dd8e1a3491565f4 Sandwich Maxi Simple Bon Jambon Salade Emmental - sandwich maxi simple bon jambon salade emmental - - Sodebo - 0 - 3242272907251 - 3242272907251 - OFF#4c8d2a7c166b43ad59940dd7062627bf Le Club Jambon Emmental et Pain de Mie au Blé Malté - club jambon emmental pain de mie ble malte - - Monoprix - 0 - 3350033021150 - 3350033021150 - OFF#b66a66aded20a321501798cb9e068a75 Sandwich Jambon Cuit - sandwich jambon cuit - - Carrefour - 0 - 5400101055797 - 5400101055797 - OFF#1db1ee3db9926e1d54c860f2b05d23c9 Sandwich Jambon Chèvre - sandwich jambon chevre - - Sodebo - 0 - 16958395 - 16958395 - OFF#b0bd0a61822057a02bd645eeaa97cb2a Sandwich Jambon Beurre - sandwich jambon beurre - - Cora - 0 - 3257981230804 - 3257981230804 - OFF#df2c3ed8f8d4bf5c06d723fc0f53163b Sandwich Jambon Beurre - sandwich jambon beurre - - Belle France - 0 - 3258561471037 - 3258561471037 - OFF#80691b1d68ad2c2cae779666783f2d77 Sandwich Jambon Beurre - sandwich jambon beurre - - Franprix - 0 - 3263858768714 - 3263858768714 - OFF#1af700d4f0e31f205cebd97609b52591 Sandwich Jambon Beurre - sandwich jambon beurre - - Franprix - 0 - 3263858768721 - 3263858768714 - OFF#810cd55349743dcc3113c6000a8f13df Sandwich Jambon Cheddar - sandwich jambon cheddar - - Daunat - 0 - 13676513 - 13676513 - OFF#be510678d401cfad6f31279f1b7c5866 Sandwich Jambon Fromage - sandwich jambon fromage - - Marks & Spencer - 0 - 29038305 - 29038305 - OFF#0cd8a35c87512eb3d3739295278be696 Sandwich Jambon Cheddar - sandwich jambon cheddar - - Cora - 0 - 3257985754580 - 3257985754580 - OFF#1813c52e6c3d085aa9bd7e7ffa5b0816 Sandwich Jambon Crudité - sandwich jambon crudite - - Monoprix - 0 - 3350033021167 - 3350033021167 - OFF#d7f7bc914e02a95528ca6754a713c432 Sandwich Jambon Emmental - sandwich jambon emmental - - Les Mousquetaires - 0 - 3250392384364 - 3250392384364 - OFF#afe625c2115a98e4139e3fce4cb16c49 ---------------------------------------------------- ERROR: Wrong quantity: '' ERROR: no solution for picto in the first solution --------------------------------- final result ----------------------------------- {'prompt': "J'ai mangé un sandwich au jambon", 'intents': ['Identify food consumption or declaration'], 'model': 'gpt-4o-2024-05-13', 'solutions': {'nutrition': [{'name': 'Croque Monsieur', 'normName': ' croque monsieur ', 'comment': '', 'normComment': '', 'rank': 0, 'id': 'OFF#f680b2833f2d16fdc8fa21bc2f5051f4', 'quantity': '', 'quantityLem': '', 'pack': ['SAN.w150'], 'type': 'food', 'gtin': '3700365092791', 'gtinRef': '3700365092791', 'brand': 'Starbucks', 'time': '', 'event': 'declaration', 'serving': '', 'posiNormName': -1}], 'activity': [], 'response': {}}, 'cputime': 1.9576380252838135} ---------------------------------------------------------------------------------- LLM CPU Time: 1.9576380252838135