Input path: /home/debian/html/nutritwin/output_llm/6707e10decbdc/input.json Output path: /home/debian/html/nutritwin/output_llm/6707e10decbdc/output.json Input text: Un pavé de saumon un pack. 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: Un pavé de saumon un pack. ================================================================================================================================== ==================================== 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: ###Un pavé de saumon un pack.###. 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 : """Un pavé de saumon un pack.""" 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": "pavé de saumon", "quantity": "un", "type": "food", "event": "declaration" }, { "name": "pack", "quantity": "un", "type": "beverage", "event": "declaration" } ] ``` ----------------------------------------------------------------------------- ----------------- Make it compliant ------------------ ```json [ { "name": "pavé de saumon", "quantity": "un", "type": "food", "event": "declaration" }, { "name": "pack", "quantity": "un", "type": "beverage", "event": "declaration" } ] ``` ------------------------------------------------------ ------------------------ After simplification ------------------------ [ { "name": "pavé de saumon", "quantity": "un", "type": "food", "event": "declaration" }, { "name": "pack", "quantity": "un", "type": "beverage", "event": "declaration" }] ---------------------------------------------------------------------- --------------------------------- LLM result ----------------------------------- {'response': [{'name': 'pavé de saumon', 'quantity': 'un', 'type': 'food', 'event': 'declaration'}, {'name': 'pack', 'quantity': 'un', 'type': 'beverage', 'event': 'declaration'}], 'cost': 0.0} -------------------------------------------------------------------------------- ----------- result to be analyzed ----------- {'name': 'pavé de saumon', '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 '% pave de saumon %' AND (V_NormTrademark = '' OR V_NormTrademark IS NULL) ------------- Found solution (max 20) -------------- Pavé de Saumon - pave de saumon - - - 9408 - - - KCA#65b031a28707cc1cba8900c617fd1e01 ---------------------------------------------------- ----------- result to be analyzed ----------- {'name': 'pack', 'quantity': 'un', '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 '% pack %' 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 '% pack %' AND V_NormTrademark LIKE '%%' ------------- Found solution (max 20) -------------- Kinder Joy - kinder joy - - Ferrero - 0 - 8000500284735 - 8000500028124 - OFF#96023f04e552be56f60cd8d78d9588c1 Auchan Chocolat Blanc Noisette Entierepack - auchan chocolat blanc noisette entierepack - - Auchan - 0 - 3245678115152 - 3245678115152 - OFF#ad166c63051cda45801593f674261af6 Pack de 6 Pepsi - pack de pepsi - - PepsiCo - 0 - 3502110002648 - 3502110002648 - OFF#ac46d5372be0cbf7a706be20e185b301 Pack de Pom'Potes - pack de pom pote - - group Bel - 0 - 3021762424160 - 3021762424160 - OFF#8d4bc5daf5569b1f14c63b2a2932352e Pack Coca Cola Zero - pack coca cola zero - - The Coca-Cola Company - 0 - 5449000136336 - 5449000136336 - OFF#0de75fb03f2328a038f83e0dd34d5cdf Pack Coca Cola Zero Azcar - pack coca cola zero azcar - - The Coca-Cola Company - 0 - 5449000133342 - 5449000133342 - OFF#4dde2cbbb4870322664489fc55a3a343 Pack 30 Boudoirs Oeufs B F - pack 30 boudoir oeuf - - Belle France - 0 - 3258561020013 - 3258561020013 - OFF#fc0a67e12b5b5d5b393aad901a98044f 9 Packs de Pâtes Complètes - pack de pate complete - - Barilla - 0 - 8076809577236 - 8076809577236 - OFF#90387ec08f34df335a2a7e1a81fbf48f 9 Packs de Pâtes Biologiques - pack de pate biologique - - Barilla - 0 - 8076809577250 - 8076809577250 - OFF#61d50eca5a519b6b9a3326f7c203e901 9 Packs de Pâtes sans Gluten - pack de pate san gluten - - Barilla - 0 - 8076809577267 - 8076809577267 - OFF#f20e04d3651c44faf7f24ab13e5f2cbc Pack de 3 Boîtes de Petits Pois Extra Fins - pack de boite de petit poi extra fin - - Leader Price - 0 - 3263851355416 - 3263851355416 - OFF#4eea0415f93df817ff18c476b6e09949 Pack 3 Miettes de Thon Listao à la Tomate 3x110 - pack miette de thon listao tomate 3x110 - - Auchan - 0 - 3596710437764 - 3596710437764 - OFF#13b24ebc6fd4a404f06cf7ca83d45f9a Duo Pack Sour - duo pack sour - - Haribo - 0 - 4001686725467 - 4001686725467 - OFF#34f39c19ccad89349d41290585398482 Mini Packs de Céréale Frozen et Star Wars - mini pack de cereale frozen star war - - Kellogg's - 0 - 5053827156431 - 5053827156431 - OFF#b1ae2c8b4928d0b45f0784b61ce6fa33 Multi Pack la Vicoise - multi pack vicoise - - Vico - 0 - 3336972003020 - 3336972003020 - OFF#782d5672814eb9e172606a93b1978d9d Family Pack - family pack - - group Bel - 0 - 3073780574310 - 3073780574310 - OFF#cca3165e92282adbf848afec23f5e9ca Pepper Pack de 6 - pepper pack de - - Dr Pepper - 0 - 5410221016608 - 5410221016608 - OFF#cde230a328c018d29553500b94460727 Variety Pack - variety pack - - Casino - 0 - 3222475413650 - 3222475413650 - OFF#bb1238fb8c0fd1b4b8aaed1b2417c22f Variety Pack - variety pack - - Unilever - 0 - 8711200434268 - 8711200434268 - OFF#3b5949a5845d414d75497ad7094288af Smarties 4 Pack - smartie pack - - Nestlé - 0 - 7613033538452 - 7613033538452 - OFF#52a24918470581c72c4cd75ed716ad23 ---------------------------------------------------- --------------------------------- final result ----------------------------------- {'prompt': 'Un pavé de saumon un pack.', 'intents': ['Identify food consumption or declaration'], 'model': 'gpt-4o-2024-05-13', 'solutions': {'nutrition': [{'name': 'Pavé de Saumon', 'normName': ' pave de saumon ', 'comment': '', 'normComment': '', 'rank': 9408, 'id': 'KCA#65b031a28707cc1cba8900c617fd1e01', 'quantity': 'un', 'quantityLem': '1', 'pack': ['PAV.w125'], 'type': 'food', 'gtin': '', 'gtinRef': '', 'brand': '', 'time': '', 'event': 'declaration', 'serving': 'PAV-100', 'posiNormName': 0}, {'name': 'Kinder Joy', 'normName': ' kinder joy ', 'comment': '', 'normComment': '', 'rank': 0, 'id': 'OFF#96023f04e552be56f60cd8d78d9588c1', 'quantity': 'un', 'quantityLem': '1', 'pack': ['OEU.w20'], 'type': 'beverage', 'gtin': '8000500284735', 'gtinRef': '8000500028124', 'brand': 'Ferrero', 'time': '', 'event': 'declaration', 'serving': 'OEU-100', 'posiNormName': -1}], 'activity': [], 'response': {}}, 'cputime': 1.6710104942321777} ---------------------------------------------------------------------------------- LLM CPU Time: 1.6710104942321777