Input path: /home/debian/html/nutritwin/output_llm/67115bb2815b1/input.json Output path: /home/debian/html/nutritwin/output_llm/67115bb2815b1/output.json Input text: Galette de blé. 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: Galette de blé. ================================================================================================================================== ==================================== 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: ###Galette de blé.###. 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 : """Galette de blé.""" 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": "Galette de blé", "type": "food", "event": "declaration" } ] ``` ----------------------------------------------------------------------------- ----------------- Make it compliant ------------------ ```json [ { "name": "Galette de blé", "type": "food", "event": "declaration" } ] ``` ------------------------------------------------------ ------------------------ After simplification ------------------------ [ { "name": "Galette de blé", "type": "food", "event": "declaration" }] ---------------------------------------------------------------------- --------------------------------- LLM result ----------------------------------- {'response': [{'name': 'Galette de blé', 'type': 'food', 'event': 'declaration'}], 'cost': 0.0} -------------------------------------------------------------------------------- ----------- result to be analyzed ----------- {'name': 'Galette de blé', '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 '% galette de ble %' 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 '% galette de ble %' AND V_NormTrademark LIKE '%%' ------------- Found solution (max 20) -------------- Le Wrap - wrap - - Monoprix - 0 - 3350033075214 - 3350030209360 - OFF#2fcb1e2dd75fdc83763cc49f8ddc5c3c Pastillas - pastilla - - Carrefour - 0 - 3560071014735 - 3560071014735 - OFF#71bd55d5dced1a42d3ef3f1437b78f7d Chimichangas - chimichanga - - Lidl - 0 - 3366760042443 - 3366760042443 - OFF#b1be337f92c6c915c6b2a373f62e1edc Poulet Curry - poulet curry - - Carrefour - 0 - 3560070783038 - 3560070783038 - OFF#e72b0f09dd3c5309dac3d2751742b3c0 Wraps Nature - wrap nature - - Auchan - 0 - 3596710471010 - 3596710471010 - OFF#f4e9074fbe4f362b5a51242783bda5ff Fajita Le Kit - fajita kit - - General Mills - 0 - 8410076472502 - 8410076471246 - OFF#53c8a792a4602e538efcfbbee6c5bb34 4 Galettes BIO - galette bio - - Franprix - 0 - 3263858499113 - 3263858499113 - OFF#afd78c27dceb371541da04ddc2421c16 Le Kit Burrito - kit burrito - - General Mills - 0 - 8410076472489 - 8410076472489 - OFF#779c1367badc255b782cfe752b774e10 Samoussas Boeuf - samoussa boeuf - - Carrefour - 0 - 3560070353378 - 3560070353378 - OFF#17a1a0aa637e6d118fc24df3b5d1420f Poulet Crudités - poulet crudite - - Carrefour - 0 - 3560070711871 - 3560070711871 - OFF#ade783af5fd0ecdc520dc1cdd64a2285 Tortillas de Blé - tortilla de ble - - Carrefour - 0 - 3560070386291 - 3560070386291 - OFF#62f350ec7998976481dcdc9ebcaad966 Tortillas de Blé - tortilla de ble - - Dia - 0 - 8480017042682 - 8480017042682 - OFF#464fb5c76a43368cb4722de3d40dbf54 Wrap Poulet Bacon - wrap poulet bacon - - Casino - 0 - 3222476440969 - 3222476440969 - OFF#a6b3b80ec37a7129e2dfd2dd5d042281 Wrap Poulet Bacon - wrap poulet bacon - - Findus - 0 - 3599740009765 - 3599740009765 - OFF#bcd935db6e0d317ac2e98a3a9858e40d Wrap Duo de Saumon - wrap duo de saumon - - Carrefour - 0 - 3560071453534 - 3560071453534 - OFF#2c7a68b145a03d4485964c7f044a03aa Wrap Poulet Basilic - wrap poulet basilic - - Monoprix - 0 - 3350033061637 - 3350033061637 - OFF#449403fcbe835083748e83b4b690af5b Bacon Crudités Oeufs - bacon crudite oeuf - - Carrefour - 0 - 3560070711840 - 3560070711840 - OFF#5e6e113f0c176983db066fe6f7aa2d23 Galettes Blé Noir BIO - galette ble noir bio - - Lidl - 0 - 20842260 - 20842260 - OFF#ad7d154c4850c78407c7d5f9712d7f80 Wraps Jambon Crudités - wrap jambon crudite - - U - 0 - 3256224059011 - 3256224059011 - OFF#e05f5925b9fe438ee0aba8b6905c24d4 Assortiment Asiatique - assortiment asiatique - - Cora - 0 - 3257980529176 - 3257980529176 - OFF#0e982557745ab8c4c12a14fc928897c9 ---------------------------------------------------- ERROR: Wrong quantity: '' ERROR: no solution for picto in the first solution --------------------------------- final result ----------------------------------- {'prompt': 'Galette de blé.', 'intents': ['Identify food consumption or declaration'], 'model': 'gpt-4o-2024-05-13', 'solutions': {'nutrition': [{'name': 'Le Wrap', 'normName': ' wrap ', 'comment': '', 'normComment': '', 'rank': 0, 'id': 'OFF#2fcb1e2dd75fdc83763cc49f8ddc5c3c', 'quantity': '', 'quantityLem': '', 'pack': ['SAN.w150'], 'type': 'food', 'gtin': '3350033075214', 'gtinRef': '3350030209360', 'brand': 'Monoprix', 'time': '', 'event': 'declaration', 'serving': '', 'posiNormName': -1}], 'activity': [], 'response': {}}, 'cputime': 1.536299705505371} ---------------------------------------------------------------------------------- LLM CPU Time: 1.536299705505371