Input path: /home/debian/html/nutritwin/output_llm/6681a70a6197b/input.json Output path: /home/debian/html/nutritwin/output_llm/6681a70a6197b/output.json Input text: Pâte feuilletée 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: Pâte feuilletée ================================================================================================================================== ==================================== 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: ###Pâte feuilletée###. 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 : """Pâte feuilletée""" 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": "Pâte feuilletée", "type": "food", "event": "declaration" } ] ``` ----------------------------------------------------------------------------- ----------------- Make it compliant ------------------ ```json [ { "name": "Pâte feuilletée", "type": "food", "event": "declaration" } ] ``` ------------------------------------------------------ ------------------------ After simplification ------------------------ [ { "name": "Pâte feuilletée", "type": "food", "event": "declaration" }] ---------------------------------------------------------------------- --------------------------------- LLM result ----------------------------------- {'response': [{'name': 'Pâte feuilletée', 'type': 'food', 'event': 'declaration'}], 'cost': 0.0} -------------------------------------------------------------------------------- ----------- result to be analyzed ----------- {'name': 'Pâte feuilletée', '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 '% pate feuilletee %' 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 '% pate feuilletee %' AND V_NormTrademark LIKE '%%' ------------- Found solution (max 20) -------------- Bladerdeeg - bladerdeeg - - Aldi - 0 - 27066324 - 27066324 - OFF#2c9c542ec958ca09f71508a28215cd7f La Feuilletée - feuilletee - - Marie - 0 - 2000000040546 - 2000000040546 - OFF#463641c2e8c5860b929f2c445ceff3c4 Mini Poissons - mini poisson - - Carrefour - 0 - 3184830057414 - 3184830057414 - OFF#96145f61fe9da140e599a7a15c901549 Quiche Lorraine - quiche lorraine - - Carrefour - 0 - 3245412158759 - 3245390126795 - OFF#9bf197711a2db6d01eb9c40923668ff8 Quiche Lorraine - quiche lorraine - - Carrefour - 0 - 3560071120450 - 3245390126795 - OFF#33026a18ddd26463cb5156233d348656 Quiche Lorraine - quiche lorraine - - Carrefour - 0 - 3560071263416 - 3245390126795 - OFF#4d1fd7791e251d1e186fd97efd068f21 Roulé au Fromage - roule fromage - - Carrefour - 0 - 3245412158780 - 3245412158780 - OFF#b77c586aa7f1612674ef82794590164e Bouchée à la Reine - bouchee reine - - Carrefour - 0 - 3560070515509 - 3276558020075 - OFF#ae681024fbd48fc65c7c84019f7edafe Tarte aux Fromages - tarte au fromage - - Auchan - 0 - 3596710444915 - 3596710261680 - OFF#4797ada6d0f982ef595e9cc86c59fa83 Friands à la Viande - friand viande - - Belle France - 0 - 3258561471358 - 3258561471358 - OFF#a2f04cedfa714275757c46dc95fe0057 Tarte Épinard Chèvre - tarte epinard chevre - - Monoprix - 0 - 3350033193635 - 3350033193635 - OFF#cb84ddd11cdd52471694819bf50e1c5c Carre Pâte Feuillete - carre pate feuillete - - Delhaize - 0 - 5400112103302 - 5400112103302 - OFF#eb35b1e57c0a619af6efe48f39f53820 Tarte Chèvre Épinard - tarte chevre epinard - - Carrefour - 0 - 3560071263423 - 3245412413711 - OFF#c08f4777bd7ea5c53758862ceebc2b46 Feuillantine Comtoise - feuillantine comtoise - - Aldi - 0 - 26066950 - 26066950 - OFF#b58d4ec68307e518a004f339c9cee81d Tarte Epinards Chèvre - tarte epinard chevre - - Casino - 0 - 3222475507496 - 3222475507496 - OFF#826779d8a8832d31da9cfe7dd2081f3d 2 Bouchées à la Reine - bouchee reine - - Auchan - 0 - 3596710261437 - 3254565425694 - OFF#a645f4fc9de7c49544f0bcbc0c08c80c Tarte en Or Feuilletée - tarte en or feuilletee - - Herta - 0 - 3154230088400 - 3154230088400 - OFF#4d65a0aa8c89d9cfa487a782df28831d Tarte en Or Feuilletée - tarte en or feuilletee - - Herta - 0 - 7613034478405 - 3154230088400 - OFF#9bff7435f3fa97fe0041f26da732bbc7 Pâte à Tarte Feuilletée - pate tarte feuilletee - - Leader Price - 0 - 3263859494919 - 3263859494919 - OFF#c596d34c66794d12bde05bc95f69fe23 Pâte à Tarte Feuilletée - pate tarte feuilletee - - Nestlé - 0 - 7613033664892 - 7613033664892 - OFF#562a04a9f361b1919128194bcb997f90 ---------------------------------------------------- ERROR: Wrong quantity: '' ERROR: no solution for picto in the first solution --------------------------------- final result ----------------------------------- {'prompt': 'Pâte feuilletée', 'intents': ['Identify food consumption or declaration'], 'model': 'gpt-4o-2024-05-13', 'solutions': {'nutrition': [{'name': 'Bladerdeeg', 'normName': ' bladerdeeg ', 'comment': '', 'normComment': '', 'rank': 0, 'id': 'OFF#2c9c542ec958ca09f71508a28215cd7f', 'quantity': '', 'quantityLem': '', 'pack': ['TAR.w230'], 'type': 'food', 'gtin': '27066324', 'gtinRef': '27066324', 'brand': 'Aldi', 'time': '', 'event': 'declaration', 'serving': '', 'posiNormName': -1}], 'activity': [], 'response': {}}, 'cputime': 2.1117398738861084} ---------------------------------------------------------------------------------- LLM CPU Time: 2.1117398738861084