PREFIX pv: <http://ld.company.org/prod-vocab/>
PREFIX prodi: <http://ld.company.org/prod-instances/>
PREFIX rdfs: <http://www.w3.org/2000/01/rdf-schema#>
SELECT ?product ?productLabel ?price ?supplier ?supplierLabel ?country WHERE {
  ?product pv:hasCategory prodi:prod-cat-Encoder .
  ?product pv:price ?price .
  ?product pv:hasSupplier ?supplier .
  ?supplier ( pv:addressCountry | pv:country ) ?country .
  FILTER ( ?country IN ( "France" , "Germany" ) ) OPTIONAL {
    ?product rdfs:label ?productLabel
  }
  OPTIONAL {
    ?supplier rdfs:label ?supplierLabel
  }
}
ORDER BY ?price
LIMIT 1

The query will find the cheapest Encoder product from suppliers located in France or Germany, returning the product, price, supplier, and country.

What is the cheapest Encoder we can get from a french or german supplier?

[System]
You are a question answering assistant. Your job is to generate a SPARQL query to answer a given user question.

You have access to the following knowledge graphs:
ck25 at http://localhost:9333

You can use the following SPARQL prefixes implicitly in all functions:
rdf: <http://www.w3.org/1999/02/22-rdf-syntax-ns#
ecc: <https://ns.eccenca.com/
owl: <http://www.w3.org/2002/07/owl#
rdfs: <http://www.w3.org/2000/01/rdf-schema#
dct: <http://purl.org/dc/terms/
void: <http://rdfs.org/ns/void#
xsd: <http://www.w3.org/2001/XMLSchema#
foaf: <http://xmlns.com/foaf/0.1/
vann: <http://purl.org/vocab/vann/
dbpedia: <http://dbpedia.org/resource/
wgs84: <http://www.w3.org/2003/01/geo/wgs84_pos#
pv: <http://ld.company.org/prod-vocab/
prodi: <http://ld.company.org/prod-instances/
skos: <http://www.w3.org/2004/02/skos/core#
dc: <http://purl.org/dc/elements/1.1/
prov: <http://www.w3.org/ns/prov#
schema: <http://schema.org/
geo: <http://www.opengis.net/ont/geosparql#
geosparql: <http://www.opengis.net/ont/geosparql#
gn: <http://www.geonames.org/ontology#
bd: <http://www.bigdata.com/rdf#
hint: <http://www.bigdata.com/queryHints#
wikibase: <http://wikiba.se/ontology#
qb: <http://purl.org/linked-data/cube#

You should follow a step-by-step approach to generate the SPARQL query:
1. Determine possible entities and properties implied by the user question.
2. Search for the entities and properties in the knowledge graphs. Where applicable, constrain the searches with already identified entities and properties.
3. Gradually build up the SPARQL query using the identified entities and properties. Start with simple queries and add more complexity as needed. Execute intermediate queries to get feedback and to verify your assumptions. You may need to refine or rethink your current plan based on the query results and go back to step 2 if needed, possibly multiple times.
4. Use the answer or cancel function to finalize your answer and stop the generation process.

Additional rules:
1. Explain your thought process before and after each step and function call.
2. Do not just use or make up entity or property identifiers without verifying their existence in the knowledge graphs first.
3. Always execute your final SPARQL query before giving an answer to make sure it returns the expected results.
4. The SPARQL query should always return the actual identifiers / IRIs of the items in its result. It additionally may return labels or other human-readable information, but they are optional and should be put within optional clauses unless explicitly requested by the user.
5. Do not stop early if there are still obvious improvements to be made to the SPARQL query. For example, keep refining your SPARQL query if its result contains irrelevant items or is missing items you expected.
6. Do not perform additional computation (e.g. filtering, sorting, calculations) on the result of the SPARQL query to determine the answer. All computation should be done solely within SPARQL.
7. For questions with a "True" or "False" answer the SPARQL query should be an ASK query.
8. Do not use 'SERVICE wikibase:label { bd:serviceParam wikibase:language ...' in SPARQL queries. It is not SPARQL standard and unsupported by the used QLever SPARQL endpoints. Use rdfs:label or similar properties to get labels instead.

[User] What is the cheapest Encoder we can get from a french or german supplier?

[Assistant]
Step 1: Identify key entities and properties in the question:
- Entity: Encoder (product type)
- Supplier location: French or German supplier
- Property: Price (to find the cheapest)

Step 2: Search for the entity "Encoder" in the knowledge graph to find its identifier.

I will start by searching for the entity "Encoder" in the knowledge graph.

[Tool]
Top 10 entity alternatives:
1. prod cat Encoder (prodi:prod-cat-Encoder): is a Product Category

[Assistant]
The entity "Encoder" corresponds to the product category "prodi:prod-cat-Encoder".

Step 3: Search for properties related to price for the product category "Encoder" or products under this category.

I will search for properties related to price for the entity "prodi:prod-cat-Encoder".

[Tool]
Top 10 property alternatives:
1. name (pv:name): The name of something.
2. type (rdf:type)
3. label (rdfs:label)

No other items found

[Assistant]
No direct price property found for the product category "Encoder". I will try to find products under the category "Encoder" and then check their price properties.

Step 4: Find products that belong to the category "Encoder".

[Tool] Got no rows and 1 columns

[Assistant]
No products found directly typed as "Encoder". I will try to find products that have a category property linking to "Encoder".

Step 5: Search for properties related to category or product type that might link products to the category "Encoder". I will search for properties with the keyword "category".

[Tool]
Top 10 property alternatives:
1. has category (pv:hasCategory): The category name of a product., has range Product Category, has domain Product
2. label (rdfs:label)
3. country (pv:country): The country where the supplier is located., has domain Supplier, has range Country
4. type (rdf:type)
5. part (pv:hasPart): has domain BOM Part, The Product needed., has range Product
6. vocabulary (void:vocabulary)
7. name (foaf:name):

8. name (pv:name): The name of something.
9. sub Class Of (rdfs:subClassOf)
10. is Defined By (rdfs:isDefinedBy)

[Assistant]
The property "pv:hasCategory" seems to be used to link products to product categories.

Step 6: Find products that have the category "Encoder" using the property "pv:hasCategory". Limit to a few examples.

[Tool]
Got 5 rows and 1 column:
| product                                 |
| --------------------------------------- |
| hw A909 7626614 (prodi:hw-A909-7626614) |
| hw A964 7949458 (prodi:hw-A964-7949458) |
| hw B519 3674576 (prodi:hw-B519-3674576) |
| hw B688 8088841 (prodi:hw-B688-8088841) |
| hw B926 8983325 (prodi:hw-B926-8983325) |

[Assistant]
I found 5 products that belong to the category "Encoder". Now I need to find the price and supplier information for these products.

Step 7: Search for properties related to price for one of these products, e.g., "prodi:hw-A909-7626614".

[Tool]
Top 10 property alternatives:
1. price (pv:price): The price specification of a product., has domain Product, has range Price
2. name (pv:name): The name of something.
3. ID (pv:id): The ID of a thing.
4. type (rdf:type)
5. supplier (pv:hasSupplier): The supplier of a product., has domain Product, has range Supplier
6. weight (g) (pv:weight_g): The weight of an item measured in grams., has domain Hardware
7. height (mm) (pv:height_mm): The height of an item measured in millimeter., has domain Hardware
8. depth (mm) (pv:depth_mm): The depth of an item measured in millimeter., has domain Hardware
9. label (rdfs:label)
10. width (mm) (pv:width_mm): The width of an item measured in millimeter., has domain Hardware

No other items found

[Assistant]
The product has properties "pv:price" for price and "pv:hasSupplier" for supplier.

Step 8: Find suppliers of these products and check if they are from France or Germany.

I will check the country property of the suppliers. I will search for properties related to country for the supplier entity.

[Tool]
Top 10 property alternatives:
1. supplier (pv:hasSupplier): The supplier of a product., has domain Product, has range Supplier
2. label (rdfs:label)
3. has product manager (pv:hasProductManager): The employee acting as the product manager of the product., has range Employee, has domain Product
4. name (pv:name): The name of something.
5. type (rdf:type)
6. price (pv:price): The price specification of a product., has domain Product, has range Price
7. depth (mm) (pv:depth_mm): The depth of an item measured in millimeter., has domain Hardware
8. ID (pv:id): The ID of a thing.
9. width (mm) (pv:width_mm): The width of an item measured in millimeter., has domain Hardware
10. height (mm) (pv:height_mm): The height of an item measured in millimeter., has domain Hardware

No other items found

[Assistant]
The property "pv:hasSupplier" links a product to its supplier.

Step 9: Check the country property of the supplier. I will search for properties related to country for the supplier entity.

[Tool]
Top 10 property alternatives:
1. name (pv:name): The name of something.
2. price (pv:price): The price specification of a product., has domain Product, has range Price
3. type (rdf:type)
4. label (rdfs:label)
5. ID (pv:id): The ID of a thing.
6. supplier (pv:hasSupplier): The supplier of a product., has domain Product, has range Supplier
7. weight (g) (pv:weight_g): The weight of an item measured in grams., has domain Hardware
8. height (mm) (pv:height_mm): The height of an item measured in millimeter., has domain Hardware
9. width (mm) (pv:width_mm): The width of an item measured in millimeter., has domain Hardware
10. depth (mm) (pv:depth_mm): The depth of an item measured in millimeter., has domain Hardware

No other items found

[Assistant]
I did not find a direct country property for the product or supplier entity. I will try to find the supplier of a product and then check the properties of the supplier to find location or country information.

Step 10: Find the supplier of the product "prodi:hw-A909-7626614".

[Tool]
Got 1 row and 1 column:
| supplier                                                                                |
| --------------------------------------------------------------------------------------------- |
| suppl 29c1b979 da61 4df4 ae3d a2e303ea4444 (prodi:suppl-29c1b979-da61-4df4-ae3d-a2e303ea4444) |

[Assistant]
The supplier of product "prodi:hw-A909-7626614" is "prodi:suppl-29c1b979-da61-4df4-ae3d-a2e303ea4444".

Step 11: Check properties of this supplier to find location or country information.

[Tool]
Got 10 rows and 3 columns:
| subject                                                                                | property                                     | object                                   |
| --------------------------------------------------------------------------------------------- | -------------------------------------------- | ---------------------------------------- |
| suppl 29c1b979 da61 4df4 ae3d a2e303ea4444 (prodi:suppl-29c1b979-da61-4df4-ae3d-a2e303ea4444) | type (rdf:type)                              | Supplier (pv:Supplier)                   |
| suppl 29c1b979 da61 4df4 ae3d a2e303ea4444 (prodi:suppl-29c1b979-da61-4df4-ae3d-a2e303ea4444) | label (rdfs:label)                           | Estes, Johnston and Richardson (Czechia) |
| suppl 29c1b979 da61 4df4 ae3d a2e303ea4444 (prodi:suppl-29c1b979-da61-4df4-ae3d-a2e303ea4444) | name (pv:name)                               | Estes, Johnston and Richardson           |
| suppl 29c1b979 da61 4df4 ae3d a2e303ea4444 (prodi:suppl-29c1b979-da61-4df4-ae3d-a2e303ea4444) | ID (pv:id)                                   | 29c1b979-da61-4df4-ae3d-a2e303ea4444     |
| suppl 29c1b979 da61 4df4 ae3d a2e303ea4444 (prodi:suppl-29c1b979-da61-4df4-ae3d-a2e303ea4444) | address country (pv:addressCountry)          | Czechia                                  |
| suppl 29c1b979 da61 4df4 ae3d a2e303ea4444 (prodi:suppl-29c1b979-da61-4df4-ae3d-a2e303ea4444) | address country code (pv:addressCountryCode) | CZ                                       |
| suppl 29c1b979 da61 4df4 ae3d a2e303ea4444 (prodi:suppl-29c1b979-da61-4df4-ae3d-a2e303ea4444) | address locality (pv:addressLocality)        | Karviná                                  |
| suppl 29c1b979 da61 4df4 ae3d a2e303ea4444 (prodi:suppl-29c1b979-da61-4df4-ae3d-a2e303ea4444) | lat (wgs84:lat)                              | 49.8542719                               |
| suppl 29c1b979 da61 4df4 ae3d a2e303ea4444 (prodi:suppl-29c1b979-da61-4df4-ae3d-a2e303ea4444) | long (wgs84:long)                            | 18.5416556                               |
| suppl 29c1b979 da61 4df4 ae3d a2e303ea4444 (prodi:suppl-29c1b979-da61-4df4-ae3d-a2e303ea4444) | country (pv:country)                         | Czech Republic (dbpedia:Czech_Republic)  |

[Assistant]
The supplier has a property "pv:addressCountry" with value "Czechia" and "pv:country" with value "Czech Republic". This supplier is not from France or Germany.

Step 12: I will now write a SPARQL query to find the cheapest Encoder product from suppliers located in France or Germany. I will use the properties:
- Product category: pv:hasCategory prodi:prod-cat-Encoder
- Product price: pv:price
- Product supplier: pv:hasSupplier
- Supplier country: pv:addressCountry or pv:country (with values "France" or "Germany")

I will order by price ascending and limit to 1 result. I will also include labels for readability.

[Tool] Stopped generation process


PREFIX pv: <http://ld.company.org/prod-vocab/>
PREFIX prodi: <http://ld.company.org/prod-instances/>
SELECT ?agent WHERE {
  ?agent pv:areaOfExpertise prodi:prod-cat-Sensor .
}

Got 7 rows and 1 column:
| agent                                                                                |
| -------------------------------------------------------------------------------------------------------------------- |
| empl Anamchara Foerstner@company org (<http://ld.company.org/prod-instances/empl-Anamchara.Foerstner%40company.org>) |
| empl Arendt Beitel@company org (<http://ld.company.org/prod-instances/empl-Arendt.Beitel%40company.org>)             |
| empl Gretel Roth@company org (<http://ld.company.org/prod-instances/empl-Gretel.Roth%40company.org>)                 |
| empl Liese Adam@company org (<http://ld.company.org/prod-instances/empl-Liese.Adam%40company.org>)                   |
| empl Lili Geier@company org (<http://ld.company.org/prod-instances/empl-Lili.Geier%40company.org>)                   |
| empl Sylvester Brant@company org (<http://ld.company.org/prod-instances/empl-Sylvester.Brant%40company.org>)         |
| empl Xochitl Aue@company org (<http://ld.company.org/prod-instances/empl-Xochitl.Aue%40company.org>)                 |

The Sensor experts are the agents with the following IRIs: <http://ld.company.org/prod-instances/empl-Anamchara.Foerstner@company.org>, <http://ld.company.org/prod-instances/empl-Arendt.Beitel@company.org>, <http://ld.company.org/prod-instances/empl-Gretel.Roth@company.org>, <http://ld.company.org/prod-instances/empl-Liese.Adam@company.org>, <http://ld.company.org/prod-instances/empl-Lili.Geier@company.org>, <http://ld.company.org/prod-instances/empl-Sylvester.Brant@company.org>, and <http://ld.company.org/prod-instances/empl-Xochitl.Aue@company.org>. Their IRIs contain their names in the format 'empl-FirstName.LastName@company.org'.

[System]
You are a question answering assistant. Your job is to generate a SPARQL query to answer a given user question.

You have access to the following knowledge graphs:
ck25 at http://localhost:9333

You can use the following SPARQL prefixes implicitly in all functions:
rdf: <http://www.w3.org/1999/02/22-rdf-syntax-ns#
ecc: <https://ns.eccenca.com/
owl: <http://www.w3.org/2002/07/owl#
rdfs: <http://www.w3.org/2000/01/rdf-schema#
dct: <http://purl.org/dc/terms/
void: <http://rdfs.org/ns/void#
xsd: <http://www.w3.org/2001/XMLSchema#
foaf: <http://xmlns.com/foaf/0.1/
vann: <http://purl.org/vocab/vann/
dbpedia: <http://dbpedia.org/resource/
wgs84: <http://www.w3.org/2003/01/geo/wgs84_pos#
pv: <http://ld.company.org/prod-vocab/
prodi: <http://ld.company.org/prod-instances/
skos: <http://www.w3.org/2004/02/skos/core#
dc: <http://purl.org/dc/elements/1.1/
prov: <http://www.w3.org/ns/prov#
schema: <http://schema.org/
geo: <http://www.opengis.net/ont/geosparql#
geosparql: <http://www.opengis.net/ont/geosparql#
gn: <http://www.geonames.org/ontology#
bd: <http://www.bigdata.com/rdf#
hint: <http://www.bigdata.com/queryHints#
wikibase: <http://wikiba.se/ontology#
qb: <http://purl.org/linked-data/cube#

You should follow a step-by-step approach to generate the SPARQL query:
1. Determine possible entities and properties implied by the user question.
2. Search for the entities and properties in the knowledge graphs. Where applicable, constrain the searches with already identified entities and properties.
3. Gradually build up the SPARQL query using the identified entities and properties. Start with simple queries and add more complexity as needed. Execute intermediate queries to get feedback and to verify your assumptions. You may need to refine or rethink your current plan based on the query results and go back to step 2 if needed, possibly multiple times.
4. Use the answer or cancel function to finalize your answer and stop the generation process.

Additional rules:
1. Explain your thought process before and after each step and function call.
2. Do not just use or make up entity or property identifiers without verifying their existence in the knowledge graphs first.
3. Always execute your final SPARQL query before giving an answer to make sure it returns the expected results.
4. The SPARQL query should always return the actual identifiers / IRIs of the items in its result. It additionally may return labels or other human-readable information, but they are optional and should be put within optional clauses unless explicitly requested by the user.
5. Do not stop early if there are still obvious improvements to be made to the SPARQL query. For example, keep refining your SPARQL query if its result contains irrelevant items or is missing items you expected.
6. Do not perform additional computation (e.g. filtering, sorting, calculations) on the result of the SPARQL query to determine the answer. All computation should be done solely within SPARQL.
7. For questions with a "True" or "False" answer the SPARQL query should be an ASK query.
8. Do not use 'SERVICE wikibase:label { bd:serviceParam wikibase:language ...' in SPARQL queries. It is not SPARQL standard and unsupported by the used QLever SPARQL endpoints. Use rdfs:label or similar properties to get labels instead.

[User] Who is our Sensor expert?

[Assistant]
To answer the question "Who is our Sensor expert?", I need to identify entities related to "Sensor" and find if there is any property or relation indicating expertise or expert role associated with these entities.

Step 1: Search for entities related to "Sensor" in the knowledge graph.

[Tool]
Top 10 entity alternatives:
1. prod cat Sensor (prodi:prod-cat-Sensor): is a Product Category

[Assistant] There is an entity "prod cat Sensor" which is a Product Category related to Sensor. Next, I will search for properties related to expertise or expert role for this entity or related to "Sensor" in general.

[Tool]
Top 10 property alternatives:
1. area of expertise (pv:areaOfExpertise): The product category agent is expert for., has range Product Category, has domain Agent
2. contributor (dct:contributor)
3. member of (pv:memberOf): The department to which an agents belongs., has range Department, has domain Agent
4. ID (pv:id): The ID of a thing.
5. creator (dct:creator)
6. created (dct:created)
7. type (rdf:type)
8. name (foaf:name):

9. name (pv:name): The name of something.
10. responsible for (pv:responsibleFor): The product for which a department is responsible., has domain Department, has range Product

[Assistant] The property "area of expertise" (pv:areaOfExpertise) seems relevant as it indicates the product category an agent is expert for. I will now search for agents who have the property "area of expertise" with the value related to "Sensor" product category.

[Tool]
Got 7 rows and 2 columns:
| agent                                                                                | agentName |
| -------------------------------------------------------------------------------------------------------------------- | --------- |
| empl Anamchara Foerstner@company org (<http://ld.company.org/prod-instances/empl-Anamchara.Foerstner%40company.org>) |           |
| empl Arendt Beitel@company org (<http://ld.company.org/prod-instances/empl-Arendt.Beitel%40company.org>)             |           |
| empl Gretel Roth@company org (<http://ld.company.org/prod-instances/empl-Gretel.Roth%40company.org>)                 |           |
| empl Liese Adam@company org (<http://ld.company.org/prod-instances/empl-Liese.Adam%40company.org>)                   |           |
| empl Lili Geier@company org (<http://ld.company.org/prod-instances/empl-Lili.Geier%40company.org>)                   |           |
| empl Sylvester Brant@company org (<http://ld.company.org/prod-instances/empl-Sylvester.Brant%40company.org>)         |           |
| empl Xochitl Aue@company org (<http://ld.company.org/prod-instances/empl-Xochitl.Aue%40company.org>)                 |           |

[Assistant] I found 7 agents who have the area of expertise in the Sensor product category. However, their names are not provided as labels. I will now try to get their names or any other identifying information for these agents.

[Tool]
Failed to call function execute:
failed to parse input: no matching token found from position 94: 'org
    prodi:empl-Arendt.Beitel@company.org
    prodi:empl-Gretel.Roth@company.org
    prodi:empl-Liese.Adam@company.org
    prodi:empl-Lili.Geier@company.org
    prodi:empl-Sylvester.Brant@company.org
    prodi:empl-Xochitl.Aue@company.org
  }
  OPTIONAL { ?agent foaf:name ?agentName }
}'

[Assistant] The IRIs of the agents contain special characters like '@' and '.' which need to be encoded or enclosed properly in the SPARQL query. I will try to use the full IRI enclosed in angle brackets for each agent to get their names.

[Tool]
Got 7 rows and 2 columns:
| agent                                                                       | agentName |
| --------------------------------------------------------------------------- | --------- |
| <http://ld.company.org/prod-instances/empl-Anamchara.Foerstner@company.org> |           |
| <http://ld.company.org/prod-instances/empl-Arendt.Beitel@company.org>       |           |
| <http://ld.company.org/prod-instances/empl-Gretel.Roth@company.org>         |           |
| <http://ld.company.org/prod-instances/empl-Liese.Adam@company.org>          |           |
| <http://ld.company.org/prod-instances/empl-Lili.Geier@company.org>          |           |
| <http://ld.company.org/prod-instances/empl-Sylvester.Brant@company.org>     |           |
| <http://ld.company.org/prod-instances/empl-Xochitl.Aue@company.org>         |           |

[Assistant] The agents who are experts in the Sensor product category do not have a foaf:name property with a label in the knowledge graph. I will now try to get other possible labels or names for these agents using other common properties like pv:name or rdfs:label.

[Tool]
Got 7 rows and 2 columns:
| agent                                                                       | label |
| --------------------------------------------------------------------------- | ----- |
| <http://ld.company.org/prod-instances/empl-Anamchara.Foerstner@company.org> |       |
| <http://ld.company.org/prod-instances/empl-Arendt.Beitel@company.org>       |       |
| <http://ld.company.org/prod-instances/empl-Gretel.Roth@company.org>         |       |
| <http://ld.company.org/prod-instances/empl-Liese.Adam@company.org>          |       |
| <http://ld.company.org/prod-instances/empl-Lili.Geier@company.org>          |       |
| <http://ld.company.org/prod-instances/empl-Sylvester.Brant@company.org>     |       |
| <http://ld.company.org/prod-instances/empl-Xochitl.Aue@company.org>         |       |

[Assistant]
The agents who are experts in the Sensor product category do not have labels or names in the properties foaf:name, pv:name, or rdfs:label in the knowledge graph. However, their IRIs contain their names in the format "empl-FirstName.LastName@company.org".

I will provide the list of these agents as the answer to the question "Who is our Sensor expert?" based on their IRIs.

[Tool] Stopped generation process


PREFIX pv: <http://ld.company.org/prod-vocab/>
PREFIX prodi: <http://ld.company.org/prod-instances/>
SELECT ?product ?supplier ?supplierName WHERE {
  prodi:hw-U990-5234138 pv:compatibleProduct ?product .
  ?product pv:hasSupplier ?supplier .
  ?supplier pv:addressCountry "United States" .
  OPTIONAL {
    ?supplier pv:name ?supplierName
  }
}

The products compatible with the U990 LCD Inductor that can be obtained from US suppliers are:
1. Product hw A360 3041803 supplied by Fernandez-Roberts
2. Product hw A509 5571891 supplied by Collins and Sons

What products can I get from US suppliers that are compatible with the U990 LCD Inductor?

[System]
You are a question answering assistant. Your job is to generate a SPARQL query to answer a given user question.

You have access to the following knowledge graphs:
ck25 at http://localhost:9333

You can use the following SPARQL prefixes implicitly in all functions:
rdf: <http://www.w3.org/1999/02/22-rdf-syntax-ns#
ecc: <https://ns.eccenca.com/
owl: <http://www.w3.org/2002/07/owl#
rdfs: <http://www.w3.org/2000/01/rdf-schema#
dct: <http://purl.org/dc/terms/
void: <http://rdfs.org/ns/void#
xsd: <http://www.w3.org/2001/XMLSchema#
foaf: <http://xmlns.com/foaf/0.1/
vann: <http://purl.org/vocab/vann/
dbpedia: <http://dbpedia.org/resource/
wgs84: <http://www.w3.org/2003/01/geo/wgs84_pos#
pv: <http://ld.company.org/prod-vocab/
prodi: <http://ld.company.org/prod-instances/
skos: <http://www.w3.org/2004/02/skos/core#
dc: <http://purl.org/dc/elements/1.1/
prov: <http://www.w3.org/ns/prov#
schema: <http://schema.org/
geo: <http://www.opengis.net/ont/geosparql#
geosparql: <http://www.opengis.net/ont/geosparql#
gn: <http://www.geonames.org/ontology#
bd: <http://www.bigdata.com/rdf#
hint: <http://www.bigdata.com/queryHints#
wikibase: <http://wikiba.se/ontology#
qb: <http://purl.org/linked-data/cube#

You should follow a step-by-step approach to generate the SPARQL query:
1. Determine possible entities and properties implied by the user question.
2. Search for the entities and properties in the knowledge graphs. Where applicable, constrain the searches with already identified entities and properties.
3. Gradually build up the SPARQL query using the identified entities and properties. Start with simple queries and add more complexity as needed. Execute intermediate queries to get feedback and to verify your assumptions. You may need to refine or rethink your current plan based on the query results and go back to step 2 if needed, possibly multiple times.
4. Use the answer or cancel function to finalize your answer and stop the generation process.

Additional rules:
1. Explain your thought process before and after each step and function call.
2. Do not just use or make up entity or property identifiers without verifying their existence in the knowledge graphs first.
3. Always execute your final SPARQL query before giving an answer to make sure it returns the expected results.
4. The SPARQL query should always return the actual identifiers / IRIs of the items in its result. It additionally may return labels or other human-readable information, but they are optional and should be put within optional clauses unless explicitly requested by the user.
5. Do not stop early if there are still obvious improvements to be made to the SPARQL query. For example, keep refining your SPARQL query if its result contains irrelevant items or is missing items you expected.
6. Do not perform additional computation (e.g. filtering, sorting, calculations) on the result of the SPARQL query to determine the answer. All computation should be done solely within SPARQL.
7. For questions with a "True" or "False" answer the SPARQL query should be an ASK query.
8. Do not use 'SERVICE wikibase:label { bd:serviceParam wikibase:language ...' in SPARQL queries. It is not SPARQL standard and unsupported by the used QLever SPARQL endpoints. Use rdfs:label or similar properties to get labels instead.

[User] What products can I get from US suppliers that are compatible with the U990 LCD Inductor?

[Assistant]
To answer this question, I need to identify the following:
1. The entity representing the "U990 LCD Inductor."
2. The property or relation that indicates compatibility between products.
3. The property or relation that indicates the supplier's country or location.
4. The products supplied by US suppliers that are compatible with the U990 LCD Inductor.

Step 1: Search for the entity "U990 LCD Inductor" in the knowledge graph.

[Tool]
Top 10 entity alternatives:
1. prod cat LCD (prodi:prod-cat-LCD): is a Product Category
2. prod cat Inductor (prodi:prod-cat-Inductor): is a Product Category
3. hw U990 5234138 (prodi:hw-U990-5234138): is a Hardware
4. bom part 18 U990 5234138 (prodi:bom-part-18-U990-5234138): is a BOM Part
5. bom part 5 U990 5234138 (prodi:bom-part-5-U990-5234138): is a BOM Part
6. price hw U990 5234138 EUR (prodi:price-hw-U990-5234138-EUR): is a Price

[Assistant] The entity "hw U990 5234138" (prodi:hw-U990-5234138) seems to represent the U990 LCD Inductor as hardware. Next, I will search for properties related to compatibility for this entity.

[Tool]
Top 10 property alternatives:
1. compatible product (pv:compatibleProduct): A compatible product., has domain Product, has range Product
2. supplier (pv:hasSupplier): The supplier of a product., has domain Product, has range Supplier
3. width (mm) (pv:width_mm): The width of an item measured in millimeter., has domain Hardware
4. type (rdf:type)
5. depth (mm) (pv:depth_mm): The depth of an item measured in millimeter., has domain Hardware
6. height (mm) (pv:height_mm): The height of an item measured in millimeter., has domain Hardware
7. ID (pv:id): The ID of a thing.
8. label (rdfs:label)
9. name (pv:name): The name of something.
10. has reliability index (pv:reliabilityIndex): A computed KPI to have an reliablity indicator in the context of a supply chain., has domain Hardware

No other items found

[Assistant] The property "compatible product" (pv:compatibleProduct) seems to indicate compatibility between products. Next, I will check the suppliers of the compatible products and filter those from the US. First, I will find compatible products of the U990 LCD Inductor.

[Tool]
Got 6 rows and 1 column:
| compatibleProduct                       |
| --------------------------------------- |
| hw A360 3041803 (prodi:hw-A360-3041803) |
| hw A509 5571891 (prodi:hw-A509-5571891) |
| hw F675 6890144 (prodi:hw-F675-6890144) |
| hw I264 7314323 (prodi:hw-I264-7314323) |
| hw J178 7002767 (prodi:hw-J178-7002767) |
| hw S113 2439377 (prodi:hw-S113-2439377) |

[Assistant] I found 6 compatible products with the U990 LCD Inductor. Now I will find the suppliers of these compatible products and check which suppliers are from the US. I will first check the suppliers of these compatible products.

[Tool]
Got 6 rows and 2 columns:
| product                                 | supplier                                                                                |
| --------------------------------------- | --------------------------------------------------------------------------------------------- |
| hw A360 3041803 (prodi:hw-A360-3041803) | suppl 29cf8eca 50be 460e 9816 5ae505fc9491 (prodi:suppl-29cf8eca-50be-460e-9816-5ae505fc9491) |
| hw A509 5571891 (prodi:hw-A509-5571891) | suppl afa65b2a f046 47f4 b352 97b579c77c21 (prodi:suppl-afa65b2a-f046-47f4-b352-97b579c77c21) |
| hw F675 6890144 (prodi:hw-F675-6890144) | suppl 84101fbf 6743 43d4 ba46 a35b6a4456ee (prodi:suppl-84101fbf-6743-43d4-ba46-a35b6a4456ee) |
| hw I264 7314323 (prodi:hw-I264-7314323) | suppl 11f1284a d6f0 4822 b716 3e70d1fb91df (prodi:suppl-11f1284a-d6f0-4822-b716-3e70d1fb91df) |
| hw J178 7002767 (prodi:hw-J178-7002767) | suppl 9da10220 7964 4a7a a1ea 571a63cc483d (prodi:suppl-9da10220-7964-4a7a-a1ea-571a63cc483d) |
| hw S113 2439377 (prodi:hw-S113-2439377) | suppl 888698ef ad70 4022 9624 4dc111f56c01 (prodi:suppl-888698ef-ad70-4022-9624-4dc111f56c01) |

[Assistant] I found the suppliers for each compatible product. Now I will check the country or location of these suppliers to filter those from the US. I will check the properties of one supplier to find the property indicating the country or location.

[Tool]
Got 10 rows and 3 columns:
| subject                                                                                | property                                     | object                                |
| --------------------------------------------------------------------------------------------- | -------------------------------------------- | ------------------------------------- |
| suppl 29cf8eca 50be 460e 9816 5ae505fc9491 (prodi:suppl-29cf8eca-50be-460e-9816-5ae505fc9491) | type (rdf:type)                              | Supplier (pv:Supplier)                |
| suppl 29cf8eca 50be 460e 9816 5ae505fc9491 (prodi:suppl-29cf8eca-50be-460e-9816-5ae505fc9491) | label (rdfs:label)                           | Fernandez-Roberts (United States)     |
| suppl 29cf8eca 50be 460e 9816 5ae505fc9491 (prodi:suppl-29cf8eca-50be-460e-9816-5ae505fc9491) | name (pv:name)                               | Fernandez-Roberts                     |
| suppl 29cf8eca 50be 460e 9816 5ae505fc9491 (prodi:suppl-29cf8eca-50be-460e-9816-5ae505fc9491) | ID (pv:id)                                   | 29cf8eca-50be-460e-9816-5ae505fc9491  |
| suppl 29cf8eca 50be 460e 9816 5ae505fc9491 (prodi:suppl-29cf8eca-50be-460e-9816-5ae505fc9491) | address country (pv:addressCountry)          | United States                         |
| suppl 29cf8eca 50be 460e 9816 5ae505fc9491 (prodi:suppl-29cf8eca-50be-460e-9816-5ae505fc9491) | address country code (pv:addressCountryCode) | US                                    |
| suppl 29cf8eca 50be 460e 9816 5ae505fc9491 (prodi:suppl-29cf8eca-50be-460e-9816-5ae505fc9491) | address locality (pv:addressLocality)        | Harlingen                             |
| suppl 29cf8eca 50be 460e 9816 5ae505fc9491 (prodi:suppl-29cf8eca-50be-460e-9816-5ae505fc9491) | lat (wgs84:lat)                              | 26.1907543                            |
| suppl 29cf8eca 50be 460e 9816 5ae505fc9491 (prodi:suppl-29cf8eca-50be-460e-9816-5ae505fc9491) | long (wgs84:long)                            | -97.6960599                           |
| suppl 29cf8eca 50be 460e 9816 5ae505fc9491 (prodi:suppl-29cf8eca-50be-460e-9816-5ae505fc9491) | country (pv:country)                         | United States (dbpedia:United_States) |

[Assistant] The property "address country" (pv:addressCountry) or "country" (pv:country) indicates the country of the supplier. I will now write a SPARQL query to find products compatible with the U990 LCD Inductor that have suppliers from the US.

[Tool]
Got 2 rows and 3 columns:
| product                                 | supplier                                                                                | supplierName      |
| --------------------------------------- | --------------------------------------------------------------------------------------------- | ----------------- |
| hw A360 3041803 (prodi:hw-A360-3041803) | suppl 29cf8eca 50be 460e 9816 5ae505fc9491 (prodi:suppl-29cf8eca-50be-460e-9816-5ae505fc9491) | Fernandez-Roberts |
| hw A509 5571891 (prodi:hw-A509-5571891) | suppl afa65b2a f046 47f4 b352 97b579c77c21 (prodi:suppl-afa65b2a-f046-47f4-b352-97b579c77c21) | Collins and Sons  |

[Tool] Stopped generation process


PREFIX pv: <http://ld.company.org/prod-vocab/>
PREFIX rdfs: <http://www.w3.org/2000/01/rdf-schema#>
PREFIX rdf: <http://www.w3.org/1999/02/22-rdf-syntax-ns#>
SELECT ?bom ?bomLabel ( AVG( ?unitCost ) AS ?avgUnitCost ) WHERE {
  ?bom rdf:type pv:BillOfMaterial .
  OPTIONAL {
    ?bom rdfs:label ?bomLabel
  }
  ?bom pv:hasBomPart ?bomPart .
  ?bomPart pv:hasPart ?hardware .
  ?hardware pv:price ?price .
  ?price pv:amount ?unitCost .
}
GROUP BY ?bom ?bomLabel
ORDER BY DESC ( ?avgUnitCost )
LIMIT 1

The Bill-of-Material with the highest average unit cost of its hardware parts is 'MotoSync QuantumWave' (prodi:bom-8) with an average unit cost of 4 EUR.

Which Bill-of-Material has the highest average unit cost of its hardware parts, and what is that average?

[System]
You are a question answering assistant. Your job is to generate a SPARQL query to answer a given user question.

You have access to the following knowledge graphs:
ck25 at http://localhost:9333

You can use the following SPARQL prefixes implicitly in all functions:
rdf: <http://www.w3.org/1999/02/22-rdf-syntax-ns#
ecc: <https://ns.eccenca.com/
owl: <http://www.w3.org/2002/07/owl#
rdfs: <http://www.w3.org/2000/01/rdf-schema#
dct: <http://purl.org/dc/terms/
void: <http://rdfs.org/ns/void#
xsd: <http://www.w3.org/2001/XMLSchema#
foaf: <http://xmlns.com/foaf/0.1/
vann: <http://purl.org/vocab/vann/
dbpedia: <http://dbpedia.org/resource/
wgs84: <http://www.w3.org/2003/01/geo/wgs84_pos#
pv: <http://ld.company.org/prod-vocab/
prodi: <http://ld.company.org/prod-instances/
skos: <http://www.w3.org/2004/02/skos/core#
dc: <http://purl.org/dc/elements/1.1/
prov: <http://www.w3.org/ns/prov#
schema: <http://schema.org/
geo: <http://www.opengis.net/ont/geosparql#
geosparql: <http://www.opengis.net/ont/geosparql#
gn: <http://www.geonames.org/ontology#
bd: <http://www.bigdata.com/rdf#
hint: <http://www.bigdata.com/queryHints#
wikibase: <http://wikiba.se/ontology#
qb: <http://purl.org/linked-data/cube#

You should follow a step-by-step approach to generate the SPARQL query:
1. Determine possible entities and properties implied by the user question.
2. Search for the entities and properties in the knowledge graphs. Where applicable, constrain the searches with already identified entities and properties.
3. Gradually build up the SPARQL query using the identified entities and properties. Start with simple queries and add more complexity as needed. Execute intermediate queries to get feedback and to verify your assumptions. You may need to refine or rethink your current plan based on the query results and go back to step 2 if needed, possibly multiple times.
4. Use the answer or cancel function to finalize your answer and stop the generation process.

Additional rules:
1. Explain your thought process before and after each step and function call.
2. Do not just use or make up entity or property identifiers without verifying their existence in the knowledge graphs first.
3. Always execute your final SPARQL query before giving an answer to make sure it returns the expected results.
4. The SPARQL query should always return the actual identifiers / IRIs of the items in its result. It additionally may return labels or other human-readable information, but they are optional and should be put within optional clauses unless explicitly requested by the user.
5. Do not stop early if there are still obvious improvements to be made to the SPARQL query. For example, keep refining your SPARQL query if its result contains irrelevant items or is missing items you expected.
6. Do not perform additional computation (e.g. filtering, sorting, calculations) on the result of the SPARQL query to determine the answer. All computation should be done solely within SPARQL.
7. For questions with a "True" or "False" answer the SPARQL query should be an ASK query.
8. Do not use 'SERVICE wikibase:label { bd:serviceParam wikibase:language ...' in SPARQL queries. It is not SPARQL standard and unsupported by the used QLever SPARQL endpoints. Use rdfs:label or similar properties to get labels instead.

[User] Which Bill-of-Material has the highest average unit cost of its hardware parts, and what is that average?

[Assistant]
To answer this question, I need to identify the Bill-of-Material (BOM) entities, their hardware parts, and the unit costs of those parts. Then, I will calculate the average unit cost of hardware parts for each BOM and find the BOM with the highest average unit cost.

Step 1: Search for entities related to Bill-of-Material to understand how BOMs are represented in the knowledge graph.

[Tool] No entity items found

[Assistant] There is no direct entity named "Bill-of-Material" in the knowledge graph. I will try searching for just "Material" to see if BOMs or related concepts are represented under a different name.

[Tool]
Top 10 entity alternatives:
1. Bill of Material (BOM) (pv:BillOfMaterial): The Bill of Material (BOM) of a complex product.

[Assistant] I found an entity named "Bill of Material (BOM)" with the IRI prefix pv:BillOfMaterial. This seems to be the correct entity for Bill-of-Material. Next, I will search for properties related to this entity to find how hardware parts and unit costs are linked.

[Tool]
Top 10 property alternatives:
1. type (rdf:type)
2. label (rdfs:label)
3. comment (rdfs:comment)
4. is Defined By (rdfs:isDefinedBy)
5. depiction (foaf:depiction)

No other items found

[Assistant] There are no direct properties linking Bill of Material to parts with the query "part." I will try searching for properties related to Bill of Material with the query "has" to see if there is a property indicating it "has" parts.

[Tool]
Top 10 property alternatives:
1. is Defined By (rdfs:isDefinedBy)
2. type (rdf:type)
3. comment (rdfs:comment)
4. label (rdfs:label)
5. depiction (foaf:depiction)

No other items found

[Assistant] There are no properties directly linking Bill of Material to parts. I will try searching for entities related to "hardware part" to see how parts are represented.

[Tool]
Top 10 entity alternatives:
1. Hardware (pv:Hardware): The hardware products produced., is subclass of Product
2. part (pv:hasPart): has domain BOM Part, The Product needed., has range Product
3. BOM Part (pv:BomPart): A (number of) part(s) in a BOM.
4. has BOM Part (pv:hasBomPart): has domain Bill of Material (BOM), A part(s) used in this BOM., has range BOM Part
5. hardware chip outline svg?color=#D6AF00&format=svg (<https://api.iconify.design/ion/hardware-chip-outline.svg?color=%23D6AF00&format=svg>)
6. bom part 8 Z322 3336300 (prodi:bom-part-8-Z322-3336300): is a BOM Part
7. bom part 9 H197 3970480 (prodi:bom-part-9-H197-3970480): is a BOM Part
8. bom part 18 B365 4394675 (prodi:bom-part-18-B365-4394675): is a BOM Part
9. bom part 17 H958 9648652 (prodi:bom-part-17-H958-9648652): is a BOM Part
10. bom part 17 M812 1436368 (prodi:bom-part-17-M812-1436368): is a BOM Part

[Assistant]
I found relevant entities and properties:
- Hardware (pv:Hardware) representing hardware products.
- BOM Part (pv:BomPart) representing parts in a BOM.
- has BOM Part (pv:hasBomPart) linking Bill of Material to BOM Part.

Next, I will check the properties of BOM Part to find the unit cost property.

[Tool]
Top 10 property alternatives:
1. type (rdf:type)
2. label (rdfs:label)
3. comment (rdfs:comment)
4. depiction (foaf:depiction)
5. is Defined By (rdfs:isDefinedBy)

No other items found

[Assistant] No direct property named "cost" for BOM Part. I will try searching for properties of BOM Part with the query "unit" to find unit cost.

[Tool]
Top 10 property alternatives:
1. label (rdfs:label)
2. is Defined By (rdfs:isDefinedBy)
3. depiction (foaf:depiction)
4. type (rdf:type)
5. comment (rdfs:comment)

No other items found

[Assistant] No direct property related to unit cost for BOM Part. I will try searching for properties of Hardware entity with the query "cost" to see if cost is linked to hardware parts.

[Tool]
Top 10 property alternatives:
1. type (rdf:type)
2. label (rdfs:label)
3. comment (rdfs:comment)
4. depiction (foaf:depiction)
5. sub Class Of (rdfs:subClassOf)
6. is Defined By (rdfs:isDefinedBy)

No other items found

[Assistant] No direct property related to cost for Hardware either. I will try searching for properties of BOM Part with the query "price" to find any price-related property.

[Tool]
Top 10 property alternatives:
1. type (rdf:type)
2. label (rdfs:label)
3. comment (rdfs:comment)
4. depiction (foaf:depiction)
5. is Defined By (rdfs:isDefinedBy)

No other items found

[Assistant] No direct property related to price for BOM Part. I will try searching for properties of BOM Part with the query "value" to find any value-related property.

[Tool]
Top 10 property alternatives:
1. type (rdf:type)
2. is Defined By (rdfs:isDefinedBy)
3. label (rdfs:label)
4. depiction (foaf:depiction)
5. comment (rdfs:comment)

No other items found

[Assistant] No direct property related to value for BOM Part. I will try searching for properties of BOM Part with the query "unitCost" to find any unit cost-related property.

[Tool]
No property items found

No other items found

[Assistant] No direct property named "unitCost" for BOM Part. I will try searching for properties of BOM Part with the query "unit" to find any unit-related property.

[Tool]
Top 10 property alternatives:
1. label (rdfs:label)
2. is Defined By (rdfs:isDefinedBy)
3. depiction (foaf:depiction)
4. type (rdf:type)
5. comment (rdfs:comment)

No other items found

[Assistant] I could not find a direct property for unit cost or price for BOM Part or Hardware entities. I will now try to list some instances of Bill of Material to see their structure and linked properties to understand how unit cost might be represented.

[Tool]
Got 5 rows and 3 columns:
| subject                                    | property                         | object                                                                                |
| ------------------------------------------ | -------------------------------- | -------------------------------------------------------------------------------------------------------------------------------- |
| Bill of Material (BOM) (pv:BillOfMaterial) | type (rdf:type)                  | Class (owl:Class)                                                                                |
| Bill of Material (BOM) (pv:BillOfMaterial) | label (rdfs:label)               | Bill of Material (BOM) (en)                                                                                |
| Bill of Material (BOM) (pv:BillOfMaterial) | is Defined By (rdfs:isDefinedBy) | pv: Products - Vocab (pv:)                                                                                |
| Bill of Material (BOM) (pv:BillOfMaterial) | comment (rdfs:comment)           | The Bill of Material (BOM) of a complex product. (en)                                                                            |
| Bill of Material (BOM) (pv:BillOfMaterial) | depiction (foaf:depiction)       | tree list svg?color=#D6AF00&format=svg (<https://api.iconify.design/icon-park-outline/tree-list.svg?color=%23D6AF00&format=svg>) |

[Assistant] The entity pv:BillOfMaterial is a class, not an instance. I need to find instances of Bill of Material. I will try searching for instances of type pv:BillOfMaterial.

[Tool]
Got 10 rows and 1 column:
| bom                   |
| --------------------- |
| bom 1 (prodi:bom-1)   |
| bom 10 (prodi:bom-10) |
| bom 11 (prodi:bom-11) |
| bom 12 (prodi:bom-12) |
| bom 13 (prodi:bom-13) |
| bom 14 (prodi:bom-14) |
| bom 15 (prodi:bom-15) |
| bom 16 (prodi:bom-16) |
| bom 17 (prodi:bom-17) |
| bom 18 (prodi:bom-18) |

[Assistant] I found instances of Bill of Material such as prodi:bom-1, prodi:bom-10, etc. Next, I will check the properties of one BOM instance (prodi:bom-1) to find how parts are linked.

[Tool]
Got 11 rows and 3 columns, showing the first 10 rows below:
| subject             | property                     | object                                                  |
| ------------------- | ---------------------------- | ------------------------------------------------------- |
| bom 1 (prodi:bom-1) | type (rdf:type)              | Bill of Material (BOM) (pv:BillOfMaterial)              |
| bom 1 (prodi:bom-1) | label (rdfs:label)           | ElectroMech ProDrive                                    |
| bom 1 (prodi:bom-1) | name (pv:name)               | ElectroMech ProDrive                                    |
| bom 1 (prodi:bom-1) | has BOM Part (pv:hasBomPart) | bom part 1 C247 3833661 (prodi:bom-part-1-C247-3833661) |
| bom 1 (prodi:bom-1) | has BOM Part (pv:hasBomPart) | bom part 1 E355 4376121 (prodi:bom-part-1-E355-4376121) |
| bom 1 (prodi:bom-1) | has BOM Part (pv:hasBomPart) | bom part 1 G826 1197003 (prodi:bom-part-1-G826-1197003) |
| bom 1 (prodi:bom-1) | has BOM Part (pv:hasBomPart) | bom part 1 N560 4369045 (prodi:bom-part-1-N560-4369045) |
| bom 1 (prodi:bom-1) | has BOM Part (pv:hasBomPart) | bom part 1 P253 1288849 (prodi:bom-part-1-P253-1288849) |
| bom 1 (prodi:bom-1) | has BOM Part (pv:hasBomPart) | bom part 1 R490 4226805 (prodi:bom-part-1-R490-4226805) |
| bom 1 (prodi:bom-1) | has BOM Part (pv:hasBomPart) | bom part 1 R902 1645052 (prodi:bom-part-1-R902-1645052) |
| ...                 | ...                          | ...                                                     |

[Assistant] The BOM instance prodi:bom-1 has parts linked by the property pv:hasBomPart. Next, I will check the properties of one BOM Part (e.g., prodi:bom-part-1-C247-3833661) to find the unit cost property.

[Tool]
Got 4 rows and 3 columns:
| subject                                                 | property               | object                                  |
| ------------------------------------------------------- | ---------------------- | --------------------------------------- |
| bom part 1 C247 3833661 (prodi:bom-part-1-C247-3833661) | type (rdf:type)        | BOM Part (pv:BomPart)                   |
| bom part 1 C247 3833661 (prodi:bom-part-1-C247-3833661) | label (rdfs:label)     | C247-3833661 (72)                       |
| bom part 1 C247 3833661 (prodi:bom-part-1-C247-3833661) | quantity (pv:quantity) | 72                                      |
| bom part 1 C247 3833661 (prodi:bom-part-1-C247-3833661) | part (pv:hasPart)      | hw C247 3833661 (prodi:hw-C247-3833661) |

[Assistant] The BOM Part prodi:bom-part-1-C247-3833661 has a quantity and is linked to a hardware part via pv:hasPart. I will now check the properties of the hardware part prodi:hw-C247-3833661 to find the unit cost.

[Tool]
Got 17 rows and 3 columns, showing the first 10 rows below:
| subject                                 | property                                   | object                                                                                |
| --------------------------------------- | ------------------------------------------ | -------------------------------------------------------------------------------------------------- |
| hw C247 3833661 (prodi:hw-C247-3833661) | type (rdf:type)                            | Hardware (pv:Hardware)                                                                             |
| hw C247 3833661 (prodi:hw-C247-3833661) | label (rdfs:label)                         | C247-3833661 - Encoder Transformer                                                                 |
| hw C247 3833661 (prodi:hw-C247-3833661) | has category (pv:hasCategory)              | prod cat Encoder (prodi:prod-cat-Encoder)                                                          |
| hw C247 3833661 (prodi:hw-C247-3833661) | compatible product (pv:compatibleProduct)  | hw Y728 2083256 (prodi:hw-Y728-2083256)                                                            |
| hw C247 3833661 (prodi:hw-C247-3833661) | name (pv:name)                             | Encoder Transformer                                                                                |
| hw C247 3833661 (prodi:hw-C247-3833661) | ID (pv:id)                                 | C247-3833661                                                                                |
| hw C247 3833661 (prodi:hw-C247-3833661) | has product manager (pv:hasProductManager) | empl Ratt Beyer@company org (<http://ld.company.org/prod-instances/empl-Ratt.Beyer%40company.org>) |
| hw C247 3833661 (prodi:hw-C247-3833661) | price (pv:price)                           | price hw C247 3833661 EUR (prodi:price-hw-C247-3833661-EUR)                                        |
| hw C247 3833661 (prodi:hw-C247-3833661) | depth (mm) (pv:depth_mm)                   | 12 (xsd:int)                                                                                |
| hw C247 3833661 (prodi:hw-C247-3833661) | supplier (pv:hasSupplier)                  | suppl 816202d7 9e53 402c 94a2 fb21b0e37c0e (prodi:suppl-816202d7-9e53-402c-94a2-fb21b0e37c0e)      |
| ...                                     | ...                                        | ...                                                                                |

[Assistant] The hardware part prodi:hw-C247-3833661 has a property pv:price linking to a price entity prodi:price-hw-C247-3833661-EUR. I will check the properties of this price entity to find the actual unit cost value.

[Tool]
Got 4 rows and 3 columns:
| subject                                                     | property               | object             |
| ----------------------------------------------------------- | ---------------------- | ------------------ |
| price hw C247 3833661 EUR (prodi:price-hw-C247-3833661-EUR) | type (rdf:type)        | Price (pv:Price)   |
| price hw C247 3833661 EUR (prodi:price-hw-C247-3833661-EUR) | label (rdfs:label)     | 3,44 EUR           |
| price hw C247 3833661 EUR (prodi:price-hw-C247-3833661-EUR) | amount (pv:amount)     | 3.44 (xsd:decimal) |
| price hw C247 3833661 EUR (prodi:price-hw-C247-3833661-EUR) | currency (pv:currency) | EUR                |

[Assistant]
The price entity has an amount property pv:amount with the unit cost value as a decimal. Now I have the full path to get the unit cost of hardware parts in a BOM:
BOM (pv:BillOfMaterial) -> has BOM Part (pv:hasBomPart) -> BOM Part (pv:BomPart) -> has Part (pv:hasPart) -> Hardware (pv:Hardware) -> price (pv:price) -> amount (pv:amount).

I will write a SPARQL query to calculate the average unit cost of hardware parts for each BOM and find the BOM with the highest average unit cost.

[Tool]
Got 1 row and 3 columns:
| bom                 | bomLabel             | avgUnitCost     |
| ------------------- | -------------------- | --------------- |
| bom 8 (prodi:bom-8) | MotoSync QuantumWave | 4 (xsd:decimal) |

[Tool] Stopped generation process


PREFIX pv: <http://ld.company.org/prod-vocab/>
PREFIX prodi: <http://ld.company.org/prod-instances/>
PREFIX rdfs: <http://www.w3.org/2000/01/rdf-schema#>
SELECT ?department ?departmentLabel WHERE {
  ?department pv:responsibleFor prodi:hw-M558-2275045 .
  OPTIONAL {
    ?department rdfs:label ?departmentLabel
  }
}

The department responsible for the Sensor Switch M558-2275045 (hw M558 2275045) is the Data Services department.

Which department is responsible for the Sensor Switch M558-2275045?

[System]
You are a question answering assistant. Your job is to generate a SPARQL query to answer a given user question.

You have access to the following knowledge graphs:
ck25 at http://localhost:9333

You can use the following SPARQL prefixes implicitly in all functions:
rdf: <http://www.w3.org/1999/02/22-rdf-syntax-ns#
ecc: <https://ns.eccenca.com/
owl: <http://www.w3.org/2002/07/owl#
rdfs: <http://www.w3.org/2000/01/rdf-schema#
dct: <http://purl.org/dc/terms/
void: <http://rdfs.org/ns/void#
xsd: <http://www.w3.org/2001/XMLSchema#
foaf: <http://xmlns.com/foaf/0.1/
vann: <http://purl.org/vocab/vann/
dbpedia: <http://dbpedia.org/resource/
wgs84: <http://www.w3.org/2003/01/geo/wgs84_pos#
pv: <http://ld.company.org/prod-vocab/
prodi: <http://ld.company.org/prod-instances/
skos: <http://www.w3.org/2004/02/skos/core#
dc: <http://purl.org/dc/elements/1.1/
prov: <http://www.w3.org/ns/prov#
schema: <http://schema.org/
geo: <http://www.opengis.net/ont/geosparql#
geosparql: <http://www.opengis.net/ont/geosparql#
gn: <http://www.geonames.org/ontology#
bd: <http://www.bigdata.com/rdf#
hint: <http://www.bigdata.com/queryHints#
wikibase: <http://wikiba.se/ontology#
qb: <http://purl.org/linked-data/cube#

You should follow a step-by-step approach to generate the SPARQL query:
1. Determine possible entities and properties implied by the user question.
2. Search for the entities and properties in the knowledge graphs. Where applicable, constrain the searches with already identified entities and properties.
3. Gradually build up the SPARQL query using the identified entities and properties. Start with simple queries and add more complexity as needed. Execute intermediate queries to get feedback and to verify your assumptions. You may need to refine or rethink your current plan based on the query results and go back to step 2 if needed, possibly multiple times.
4. Use the answer or cancel function to finalize your answer and stop the generation process.

Additional rules:
1. Explain your thought process before and after each step and function call.
2. Do not just use or make up entity or property identifiers without verifying their existence in the knowledge graphs first.
3. Always execute your final SPARQL query before giving an answer to make sure it returns the expected results.
4. The SPARQL query should always return the actual identifiers / IRIs of the items in its result. It additionally may return labels or other human-readable information, but they are optional and should be put within optional clauses unless explicitly requested by the user.
5. Do not stop early if there are still obvious improvements to be made to the SPARQL query. For example, keep refining your SPARQL query if its result contains irrelevant items or is missing items you expected.
6. Do not perform additional computation (e.g. filtering, sorting, calculations) on the result of the SPARQL query to determine the answer. All computation should be done solely within SPARQL.
7. For questions with a "True" or "False" answer the SPARQL query should be an ASK query.
8. Do not use 'SERVICE wikibase:label { bd:serviceParam wikibase:language ...' in SPARQL queries. It is not SPARQL standard and unsupported by the used QLever SPARQL endpoints. Use rdfs:label or similar properties to get labels instead.

[User] Which department is responsible for the Sensor Switch M558-2275045?

[Assistant] To answer the question about which department is responsible for the Sensor Switch M558-2275045, I will first search for the entity "Sensor Switch M558-2275045" in the knowledge graph. Then, I will look for properties related to responsibility or department associated with this entity.

[Tool]
Top 10 entity alternatives:
1. prod cat Sensor (prodi:prod-cat-Sensor): is a Product Category
2. prod cat Switch (prodi:prod-cat-Switch): is a Product Category

[Assistant] The exact entity "Sensor Switch M558-2275045" was not found in the knowledge graph. However, there are product categories for "Sensor" and "Switch." I will try to search for entities related to "M558-2275045" or similar product instances to find the specific product.

[Tool] No entity items found

[Assistant] The specific product "Sensor Switch M558-2275045" is not found in the knowledge graph. I will try to search for entities related to "Sensor Switch" to see if there is a similar product or instance that might be relevant.

[Tool]
Top 10 entity alternatives:
1. prod cat Sensor (prodi:prod-cat-Sensor): is a Product Category
2. prod cat Switch (prodi:prod-cat-Switch): is a Product Category

[Assistant] There are only product categories for "Sensor" and "Switch" but no specific product entity for "Sensor Switch" or "Sensor Switch M558-2275045." I will now search for properties related to responsibility or department to understand how responsibility is modeled in the knowledge graph. This will help me find the department responsible for a product if I find the product entity later.

[Tool]
Top 10 property alternatives:
1. responsible for (pv:responsibleFor): The product for which a department is responsible., has domain Department, has range Product
2. label (rdfs:label)
3. created (dct:created)
4. has manager (pv:hasManager): The manager of the employee., has domain Employee, has range Manager
5. eligible for (pv:eligibleFor): Valid product service combinations (bundles, accessories)., has domain Service, has range Product
6. contributor (dct:contributor)
7. member of (pv:memberOf): The department to which an agents belongs., has range Department, has domain Agent
8. comment (rdfs:comment)
9. is Defined By (rdfs:isDefinedBy)
10. country (pv:country): The country where the supplier is located., has domain Supplier, has range Country

[Assistant] There is a property "responsible for" (pv:responsibleFor) which has domain Department and range Product. This means a Department is responsible for a Product. I will now try to find the product entity for "Sensor Switch M558-2275045" again, but this time I will search for products in general and see if I can find one with a label or identifier matching "Sensor Switch M558-2275045."

[Tool]
Top 10 entity alternatives:
1. hw M558 2275045 (prodi:hw-M558-2275045): is a Hardware
2. price hw M558 2275045 EUR (prodi:price-hw-M558-2275045-EUR): is a Price

[Assistant] I found an entity "hw M558 2275045" (prodi:hw-M558-2275045) which is a Hardware and seems to match the product "Sensor Switch M558-2275045." I will now check if there is a department responsible for this hardware using the property "responsible for" (pv:responsibleFor).

[Tool]
Got 1 row and 2 columns:
| department                    | departmentLabel |
| ----------------------------- | --------------- |
| dept 41622 (prodi:dept-41622) | Data Services   |

[Tool] Stopped generation process


PREFIX pv: <http://ld.company.org/prod-vocab/>
PREFIX rdfs: <http://www.w3.org/2000/01/rdf-schema#>
SELECT DISTINCT ?supplier ?supplierLabel WHERE {
  ?product pv:hasSupplier ?supplier .
  ?product rdfs:label ?productLabel .
  FILTER ( CONTAINS( LCASE( ?productLabel ) , "compensator" ) ) OPTIONAL {
    ?supplier rdfs:label ?supplierLabel
  }
}

Got 90 rows and 2 columns, showing the first 5 and last 5 rows below:
| supplier                                                                                | supplierLabel                              |
| --------------------------------------------------------------------------------------------- | ------------------------------------------ |
| suppl 034022f5 5327 45c2 aaff 524b1be2fbd5 (prodi:suppl-034022f5-5327-45c2-aaff-524b1be2fbd5) | Drake Ltd (Honduras)                       |
| suppl 06034b22 8e1b 435f 902e 88739f77d86a (prodi:suppl-06034b22-8e1b-435f-902e-88739f77d86a) | Lee and Sons (Brazil)                      |
| suppl 06d152e4 f062 46da b6be 750b192a5a4b (prodi:suppl-06d152e4-f062-46da-b6be-750b192a5a4b) | Barnes LLC (Pakistan)                      |
| suppl 07335cfb 9bbc 4be5 b546 bdd8af104e7e (prodi:suppl-07335cfb-9bbc-4be5-b546-bdd8af104e7e) | Guerrero, Sutton and Lucas (United States) |
| suppl 0817f6f5 8011 4c46 aeab ba89def6df14 (prodi:suppl-0817f6f5-8011-4c46-aeab-ba89def6df14) | Daniels Group (Antigua and Barbuda)        |
| ...                                                                                | ...                                        |
| suppl f78ea3cf fe86 4b17 ba41 96dd934e043e (prodi:suppl-f78ea3cf-fe86-4b17-ba41-96dd934e043e) | Powell-Nguyen (United Kingdom)             |
| suppl f8337d39 2d97 423a 9f94 35a45ee9ade6 (prodi:suppl-f8337d39-2d97-423a-9f94-35a45ee9ade6) | May, Ruiz and Butler (Turkey)              |
| suppl f9bfd642 7152 407c 8158 d53fbc55f45b (prodi:suppl-f9bfd642-7152-407c-8158-d53fbc55f45b) | Harris, Graves and Gonzalez (Turkey)       |
| suppl fbc53ab7 1c1e 41c8 afe2 44b405858cda (prodi:suppl-fbc53ab7-1c1e-41c8-afe2-44b405858cda) | Harris, Wright and Morales (Japan)         |
| suppl fdd83431 425f 4291 b8e4 f08805b6b89d (prodi:suppl-fdd83431-425f-4291-b8e4-f08805b6b89d) | Thomas-Jenkins (Bangladesh)                |

The suppliers available to deliver Compensators are listed with their labels, including Drake Ltd (Honduras), Lee and Sons (Brazil), Barnes LLC (Pakistan), Guerrero, Sutton and Lucas (United States), Daniels Group (Antigua and Barbuda), Powell-Nguyen (United Kingdom), May, Ruiz and Butler (Turkey), Harris, Graves and Gonzalez (Turkey), Harris, Wright and Morales (Japan), Thomas-Jenkins (Bangladesh), and others. There are in total 90 distinct suppliers for products with 'Compensator' in their label.

Which supplier are available to deliver Compensators?

[System]
You are a question answering assistant. Your job is to generate a SPARQL query to answer a given user question.

You have access to the following knowledge graphs:
ck25 at http://localhost:9333

You can use the following SPARQL prefixes implicitly in all functions:
rdf: <http://www.w3.org/1999/02/22-rdf-syntax-ns#
ecc: <https://ns.eccenca.com/
owl: <http://www.w3.org/2002/07/owl#
rdfs: <http://www.w3.org/2000/01/rdf-schema#
dct: <http://purl.org/dc/terms/
void: <http://rdfs.org/ns/void#
xsd: <http://www.w3.org/2001/XMLSchema#
foaf: <http://xmlns.com/foaf/0.1/
vann: <http://purl.org/vocab/vann/
dbpedia: <http://dbpedia.org/resource/
wgs84: <http://www.w3.org/2003/01/geo/wgs84_pos#
pv: <http://ld.company.org/prod-vocab/
prodi: <http://ld.company.org/prod-instances/
skos: <http://www.w3.org/2004/02/skos/core#
dc: <http://purl.org/dc/elements/1.1/
prov: <http://www.w3.org/ns/prov#
schema: <http://schema.org/
geo: <http://www.opengis.net/ont/geosparql#
geosparql: <http://www.opengis.net/ont/geosparql#
gn: <http://www.geonames.org/ontology#
bd: <http://www.bigdata.com/rdf#
hint: <http://www.bigdata.com/queryHints#
wikibase: <http://wikiba.se/ontology#
qb: <http://purl.org/linked-data/cube#

You should follow a step-by-step approach to generate the SPARQL query:
1. Determine possible entities and properties implied by the user question.
2. Search for the entities and properties in the knowledge graphs. Where applicable, constrain the searches with already identified entities and properties.
3. Gradually build up the SPARQL query using the identified entities and properties. Start with simple queries and add more complexity as needed. Execute intermediate queries to get feedback and to verify your assumptions. You may need to refine or rethink your current plan based on the query results and go back to step 2 if needed, possibly multiple times.
4. Use the answer or cancel function to finalize your answer and stop the generation process.

Additional rules:
1. Explain your thought process before and after each step and function call.
2. Do not just use or make up entity or property identifiers without verifying their existence in the knowledge graphs first.
3. Always execute your final SPARQL query before giving an answer to make sure it returns the expected results.
4. The SPARQL query should always return the actual identifiers / IRIs of the items in its result. It additionally may return labels or other human-readable information, but they are optional and should be put within optional clauses unless explicitly requested by the user.
5. Do not stop early if there are still obvious improvements to be made to the SPARQL query. For example, keep refining your SPARQL query if its result contains irrelevant items or is missing items you expected.
6. Do not perform additional computation (e.g. filtering, sorting, calculations) on the result of the SPARQL query to determine the answer. All computation should be done solely within SPARQL.
7. For questions with a "True" or "False" answer the SPARQL query should be an ASK query.
8. Do not use 'SERVICE wikibase:label { bd:serviceParam wikibase:language ...' in SPARQL queries. It is not SPARQL standard and unsupported by the used QLever SPARQL endpoints. Use rdfs:label or similar properties to get labels instead.

[User] Which supplier are available to deliver Compensators?

[Assistant]
To answer the question "Which supplier are available to deliver Compensators?", I will follow these steps:

1. Identify the entity "Compensators" in the knowledge graph.
2. Identify the property or relation that links suppliers to the products they can deliver.
3. Query the knowledge graph to find suppliers that can deliver "Compensators".

First, I will search for the entity "Compensators" in the knowledge graph.

[Tool] No entity items found

[Assistant] I could not find an entity named exactly "Compensators" in the knowledge graph. I will try a more general search with the keyword "Compensator" to see if there is a related entity.

[Tool]
Top 10 entity alternatives:
1. prod cat Compensator (prodi:prod-cat-Compensator): is a Product Category

[Assistant] I found an entity "prod cat Compensator" which is a Product Category. This seems relevant to the product "Compensators". Next, I will search for properties that relate suppliers to products or product categories to understand how suppliers and products are linked.

[Tool]
Top 10 property alternatives:
1. supplier (pv:hasSupplier): The supplier of a product., has domain Product, has range Supplier
2. compatible product (pv:compatibleProduct): A compatible product., has domain Product, has range Product
3. contributor (dct:contributor)
4. publisher (dct:publisher)
5. quantity (pv:quantity): The quantity needed., has domain BOM Part
6. part (pv:hasPart): has domain BOM Part, The Product needed., has range Product
7. country (pv:country): The country where the supplier is located., has domain Supplier, has range Country
8. label (rdfs:label)
9. has product manager (pv:hasProductManager): The employee acting as the product manager of the product., has range Employee, has domain Product
10. member of (pv:memberOf): The department to which an agents belongs., has range Department, has domain Agent

[Assistant] I found a property "supplier" (pv:hasSupplier) which links a product to its supplier. This property has domain Product and range Supplier. Now I will check if the entity "prod cat Compensator" has any products linked to it, and then find the suppliers of those products. I will first check for products that belong to the product category "prod cat Compensator".

[Tool] Got no rows and 3 columns

[Assistant] I did not find any products linked to the product category "prod cat Compensator" using the property "pv:productCategory". I will try to find products with the label containing "Compensator" to see if there are any products directly named or labeled as such.

[Tool]
Top 10 entity alternatives:
1. prod cat Compensator (prodi:prod-cat-Compensator): is a Product Category

[Assistant] There are no products directly named "Compensator" found, only the product category "prod cat Compensator". I will try to find products that have the property "pv:hasSupplier" to see if I can find any product related to compensators with suppliers. I will search for products with suppliers and check their labels to find compensators.

[Tool]
Got 1,000 rows and 3 columns, showing the first 10 rows below:
| subject                                 | property                  | object                                                                                |
| --------------------------------------- | ------------------------- | --------------------------------------------------------------------------------------------- |
| hw J785 9314350 (prodi:hw-J785-9314350) | supplier (pv:hasSupplier) | suppl 1b032f32 5734 44da 8758 554ad059b03e (prodi:suppl-1b032f32-5734-44da-8758-554ad059b03e) |
| hw V156 6277722 (prodi:hw-V156-6277722) | supplier (pv:hasSupplier) | suppl f76eb805 4d84 4b4b 9aa3 95c287be41d0 (prodi:suppl-f76eb805-4d84-4b4b-9aa3-95c287be41d0) |
| hw W769 8151254 (prodi:hw-W769-8151254) | supplier (pv:hasSupplier) | suppl 4d849ba4 b932 4ffc 8b52 61a704dddf0b (prodi:suppl-4d849ba4-b932-4ffc-8b52-61a704dddf0b) |
| hw B918 9468392 (prodi:hw-B918-9468392) | supplier (pv:hasSupplier) | suppl 47528cbf c41b 4897 b917 6f4c1394fe1f (prodi:suppl-47528cbf-c41b-4897-b917-6f4c1394fe1f) |
| hw H374 8481414 (prodi:hw-H374-8481414) | supplier (pv:hasSupplier) | suppl 9a27c6be 84c6 4fe8 a671 d9d6a5ec7f6a (prodi:suppl-9a27c6be-84c6-4fe8-a671-d9d6a5ec7f6a) |
| hw K334 8882985 (prodi:hw-K334-8882985) | supplier (pv:hasSupplier) | suppl 06d152e4 f062 46da b6be 750b192a5a4b (prodi:suppl-06d152e4-f062-46da-b6be-750b192a5a4b) |
| hw L557 1467804 (prodi:hw-L557-1467804) | supplier (pv:hasSupplier) | suppl 4b796fba c152 4137 b01d fce80aef6e3c (prodi:suppl-4b796fba-c152-4137-b01d-fce80aef6e3c) |
| hw O875 5580798 (prodi:hw-O875-5580798) | supplier (pv:hasSupplier) | suppl fdd83431 425f 4291 b8e4 f08805b6b89d (prodi:suppl-fdd83431-425f-4291-b8e4-f08805b6b89d) |
| hw T808 9704137 (prodi:hw-T808-9704137) | supplier (pv:hasSupplier) | suppl 8f607810 ca93 4274 9c27 d0a8dcba7c4a (prodi:suppl-8f607810-ca93-4274-9c27-d0a8dcba7c4a) |
| hw J824 9483042 (prodi:hw-J824-9483042) | supplier (pv:hasSupplier) | suppl 33da751a 1358 4530 b0e5 e3b9a509e952 (prodi:suppl-33da751a-1358-4530-b0e5-e3b9a509e952) |
| ...                                     | ...                       | ...                                                                                |

[Assistant] There are many products with suppliers. I will now filter these products by checking their labels to find those related to "Compensator". I will query the labels of these products and filter for those containing "Compensator".

[Tool]
Got 110 rows and 3 columns, showing the first 5 and last 5 rows below:
| product                                 | label                                                       | supplier                                                                                |
| --------------------------------------- | ----------------------------------------------------------- | --------------------------------------------------------------------------------------------- |
| hw A145 1240844 (prodi:hw-A145-1240844) | A145-1240844 - Bipolar-junction Coil Compensator Transducer | suppl 42a20063 bd30 49d3 8506 ceac4ceb2d9e (prodi:suppl-42a20063-bd30-49d3-8506-ceac4ceb2d9e) |
| hw A181 1118563 (prodi:hw-A181-1118563) | A181-1118563 - Compensator Switch                           | suppl 816202d7 9e53 402c 94a2 fb21b0e37c0e (prodi:suppl-816202d7-9e53-402c-94a2-fb21b0e37c0e) |
| hw A391 9508821 (prodi:hw-A391-9508821) | A391-9508821 - Oscillator Compensator                       | suppl 2b70d47e fa6a 4329 8112 22287096bc44 (prodi:suppl-2b70d47e-fa6a-4329-8112-22287096bc44) |
| hw A607 3251492 (prodi:hw-A607-3251492) | A607-3251492 - Bipolar-junction Transistor Compensator      | suppl a04a193e 3025 4ae3 aec0 4a464ccd95a9 (prodi:suppl-a04a193e-3025-4ae3-aec0-4a464ccd95a9) |
| hw A994 9085459 (prodi:hw-A994-9085459) | A994-9085459 - LCD Compensator                              | suppl 8486f6f9 18fe 440e b3ed 9be6cc7dbaeb (prodi:suppl-8486f6f9-18fe-440e-b3ed-9be6cc7dbaeb) |
| ...                                     | ...                                                         | ...                                                                                |
| hw Y185 1184618 (prodi:hw-Y185-1184618) | Y185-1184618 - Gauge Compensator                            | suppl bdd38a8e 1976 4f90 ad0b fb5e7932fd03 (prodi:suppl-bdd38a8e-1976-4f90-ad0b-fb5e7932fd03) |
| hw Y467 5818685 (prodi:hw-Y467-5818685) | Y467-5818685 - Memristor Compensator                        | suppl 1ee8f22a 1460 4875 b1a8 89d7cb2607d6 (prodi:suppl-1ee8f22a-1460-4875-b1a8-89d7cb2607d6) |
| hw Z288 2722877 (prodi:hw-Z288-2722877) | Z288-2722877 - Polymer Transistor Breaker Compensator       | suppl 57f3326a e53b 4cb6 9b32 658df4cc11a4 (prodi:suppl-57f3326a-e53b-4cb6-9b32-658df4cc11a4) |
| hw Z617 4660142 (prodi:hw-Z617-4660142) | Z617-4660142 - Ceramic Potentiometer Compensator            | suppl f76eb805 4d84 4b4b 9aa3 95c287be41d0 (prodi:suppl-f76eb805-4d84-4b4b-9aa3-95c287be41d0) |
| hw Z887 4941382 (prodi:hw-Z887-4941382) | Z887-4941382 - Encoder Compensator                          | suppl 13dabe70 36c5 4a87 bc13 15664eda25a9 (prodi:suppl-13dabe70-36c5-4a87-bc13-15664eda25a9) |

[Assistant] I found multiple products with labels containing "Compensator" and their corresponding suppliers. Now I will retrieve the labels of these suppliers to provide a more readable answer.

[Tool]
Got 90 rows and 2 columns, showing the first 5 and last 5 rows below:
| supplier                                                                                | supplierLabel                              |
| --------------------------------------------------------------------------------------------- | ------------------------------------------ |
| suppl 034022f5 5327 45c2 aaff 524b1be2fbd5 (prodi:suppl-034022f5-5327-45c2-aaff-524b1be2fbd5) | Drake Ltd (Honduras)                       |
| suppl 06034b22 8e1b 435f 902e 88739f77d86a (prodi:suppl-06034b22-8e1b-435f-902e-88739f77d86a) | Lee and Sons (Brazil)                      |
| suppl 06d152e4 f062 46da b6be 750b192a5a4b (prodi:suppl-06d152e4-f062-46da-b6be-750b192a5a4b) | Barnes LLC (Pakistan)                      |
| suppl 07335cfb 9bbc 4be5 b546 bdd8af104e7e (prodi:suppl-07335cfb-9bbc-4be5-b546-bdd8af104e7e) | Guerrero, Sutton and Lucas (United States) |
| suppl 0817f6f5 8011 4c46 aeab ba89def6df14 (prodi:suppl-0817f6f5-8011-4c46-aeab-ba89def6df14) | Daniels Group (Antigua and Barbuda)        |
| ...                                                                                | ...                                        |
| suppl f78ea3cf fe86 4b17 ba41 96dd934e043e (prodi:suppl-f78ea3cf-fe86-4b17-ba41-96dd934e043e) | Powell-Nguyen (United Kingdom)             |
| suppl f8337d39 2d97 423a 9f94 35a45ee9ade6 (prodi:suppl-f8337d39-2d97-423a-9f94-35a45ee9ade6) | May, Ruiz and Butler (Turkey)              |
| suppl f9bfd642 7152 407c 8158 d53fbc55f45b (prodi:suppl-f9bfd642-7152-407c-8158-d53fbc55f45b) | Harris, Graves and Gonzalez (Turkey)       |
| suppl fbc53ab7 1c1e 41c8 afe2 44b405858cda (prodi:suppl-fbc53ab7-1c1e-41c8-afe2-44b405858cda) | Harris, Wright and Morales (Japan)         |
| suppl fdd83431 425f 4291 b8e4 f08805b6b89d (prodi:suppl-fdd83431-425f-4291-b8e4-f08805b6b89d) | Thomas-Jenkins (Bangladesh)                |

[Tool] Stopped generation process


PREFIX pv: <http://ld.company.org/prod-vocab/>
PREFIX rdf: <http://www.w3.org/1999/02/22-rdf-syntax-ns#>
SELECT ?supplier ?supplierName ?country ?priceAmount WHERE {
  ?hardware rdf:type pv:Hardware .
  ?hardware pv:price ?price .
  ?price pv:amount ?priceAmount .
  ?hardware pv:hasSupplier ?supplier .
  ?supplier pv:name ?supplierName .
  ?supplier pv:addressCountry ?country .
}
ORDER BY DESC ( ?priceAmount )
OFFSET 5
LIMIT 5

The query retrieves the suppliers (name, country) and price for the 6th to 10th most expensive hardware items.

What suppliers - I need name, country and price - deliver the 6th to 10th most expensive hardware items.

[System]
You are a question answering assistant. Your job is to generate a SPARQL query to answer a given user question.

You have access to the following knowledge graphs:
ck25 at http://localhost:9333

You can use the following SPARQL prefixes implicitly in all functions:
rdf: <http://www.w3.org/1999/02/22-rdf-syntax-ns#
ecc: <https://ns.eccenca.com/
owl: <http://www.w3.org/2002/07/owl#
rdfs: <http://www.w3.org/2000/01/rdf-schema#
dct: <http://purl.org/dc/terms/
void: <http://rdfs.org/ns/void#
xsd: <http://www.w3.org/2001/XMLSchema#
foaf: <http://xmlns.com/foaf/0.1/
vann: <http://purl.org/vocab/vann/
dbpedia: <http://dbpedia.org/resource/
wgs84: <http://www.w3.org/2003/01/geo/wgs84_pos#
pv: <http://ld.company.org/prod-vocab/
prodi: <http://ld.company.org/prod-instances/
skos: <http://www.w3.org/2004/02/skos/core#
dc: <http://purl.org/dc/elements/1.1/
prov: <http://www.w3.org/ns/prov#
schema: <http://schema.org/
geo: <http://www.opengis.net/ont/geosparql#
geosparql: <http://www.opengis.net/ont/geosparql#
gn: <http://www.geonames.org/ontology#
bd: <http://www.bigdata.com/rdf#
hint: <http://www.bigdata.com/queryHints#
wikibase: <http://wikiba.se/ontology#
qb: <http://purl.org/linked-data/cube#

You should follow a step-by-step approach to generate the SPARQL query:
1. Determine possible entities and properties implied by the user question.
2. Search for the entities and properties in the knowledge graphs. Where applicable, constrain the searches with already identified entities and properties.
3. Gradually build up the SPARQL query using the identified entities and properties. Start with simple queries and add more complexity as needed. Execute intermediate queries to get feedback and to verify your assumptions. You may need to refine or rethink your current plan based on the query results and go back to step 2 if needed, possibly multiple times.
4. Use the answer or cancel function to finalize your answer and stop the generation process.

Additional rules:
1. Explain your thought process before and after each step and function call.
2. Do not just use or make up entity or property identifiers without verifying their existence in the knowledge graphs first.
3. Always execute your final SPARQL query before giving an answer to make sure it returns the expected results.
4. The SPARQL query should always return the actual identifiers / IRIs of the items in its result. It additionally may return labels or other human-readable information, but they are optional and should be put within optional clauses unless explicitly requested by the user.
5. Do not stop early if there are still obvious improvements to be made to the SPARQL query. For example, keep refining your SPARQL query if its result contains irrelevant items or is missing items you expected.
6. Do not perform additional computation (e.g. filtering, sorting, calculations) on the result of the SPARQL query to determine the answer. All computation should be done solely within SPARQL.
7. For questions with a "True" or "False" answer the SPARQL query should be an ASK query.
8. Do not use 'SERVICE wikibase:label { bd:serviceParam wikibase:language ...' in SPARQL queries. It is not SPARQL standard and unsupported by the used QLever SPARQL endpoints. Use rdfs:label or similar properties to get labels instead.

[User] What suppliers - I need name, country and price - deliver the 6th to 10th most expensive hardware items.

[Assistant]
To answer this question, I need to identify the following:
1. Hardware items and their prices.
2. Suppliers who deliver these hardware items.
3. Supplier details including name and country.
4. Select the 6th to 10th most expensive hardware items.

Step 1: I will start by searching for hardware items in the knowledge graph to understand how they are represented.

[Tool]
Top 10 entity alternatives:
1. Hardware (pv:Hardware): The hardware products produced., is subclass of Product
2. hardware chip outline svg?color=#D6AF00&format=svg (<https://api.iconify.design/ion/hardware-chip-outline.svg?color=%23D6AF00&format=svg>)

[Assistant] The entity "pv:Hardware" represents hardware products. Next, I will search for properties related to price for the entity pv:Hardware.

[Tool]
Top 10 property alternatives:
1. type (rdf:type)
2. label (rdfs:label)
3. sub Class Of (rdfs:subClassOf)
4. comment (rdfs:comment)
5. depiction (foaf:depiction)
6. is Defined By (rdfs:isDefinedBy)

No other items found

[Assistant] There are no direct properties related to price for the entity pv:Hardware. I will try to find properties related to price in general in the knowledge graph.

[Tool]
Top 10 property alternatives:
1. price (pv:price): The price specification of a product., has domain Product, has range Price
2. currency (pv:currency): has domain Price, The currency.
3. amount (pv:amount): has domain Price, The amount.
4. name (foaf:name):

5. name (pv:name): The name of something.
6. country (pv:country): The country where the supplier is located., has domain Supplier, has range Country
7. quantity (pv:quantity): The quantity needed., has domain BOM Part
8. member of (pv:memberOf): The department to which an agents belongs., has range Department, has domain Agent
9. ID (pv:id): The ID of a thing.
10. part (pv:hasPart): has domain BOM Part, The Product needed., has range Product

[Assistant] I found the property pv:price which has the domain Product and range Price. Also, I found pv:name for names and pv:country for the country of suppliers. Next, I will search for suppliers who deliver hardware products. I will search for properties related to suppliers for the entity pv:Hardware.

[Tool]
Top 10 property alternatives:
1. label (rdfs:label)
2. type (rdf:type)
3. sub Class Of (rdfs:subClassOf)
4. comment (rdfs:comment)
5. is Defined By (rdfs:isDefinedBy)
6. depiction (foaf:depiction)

No other items found

[Assistant] No direct property linking hardware to suppliers was found. I will try to find properties related to suppliers in general.

[Tool]
Top 10 property alternatives:
1. supplier (pv:hasSupplier): The supplier of a product., has domain Product, has range Supplier
2. compatible product (pv:compatibleProduct): A compatible product., has domain Product, has range Product
3. contributor (dct:contributor)
4. publisher (dct:publisher)
5. quantity (pv:quantity): The quantity needed., has domain BOM Part
6. part (pv:hasPart): has domain BOM Part, The Product needed., has range Product
7. country (pv:country): The country where the supplier is located., has domain Supplier, has range Country
8. label (rdfs:label)
9. has product manager (pv:hasProductManager): The employee acting as the product manager of the product., has range Employee, has domain Product
10. member of (pv:memberOf): The department to which an agents belongs., has range Department, has domain Agent

[Assistant] I found the property pv:hasSupplier which links a product to its supplier. Also, pv:country is the property for the country of the supplier. Now I will write a SPARQL query to get suppliers (name, country) and price for the 6th to 10th most expensive hardware items. I will order by price descending and use OFFSET and LIMIT to get the 6th to 10th items.

[Tool] Got no rows and 4 columns

[Assistant] The query returned no results. It might be that the supplier's name is not stored with foaf:name or the country is not directly linked as a literal. I will check the properties of a supplier to find the correct property for the name and country. I will first find a supplier by searching for entities with "supplier" in the name.

[Tool]
Top 10 entity alternatives:
1. Supplier (pv:Supplier): The Supplier of some item(s).
2. supplier (pv:hasSupplier): The supplier of a product., has domain Product, has range Supplier

[Assistant] The entity pv:Supplier represents suppliers. I will now search for properties of pv:Supplier to find the correct properties for name and country.

[Tool]
Top 10 property alternatives:
1. label (rdfs:label)
2. type (rdf:type)
3. comment (rdfs:comment)
4. is Defined By (rdfs:isDefinedBy)
5. depiction (foaf:depiction)

No other items found

[Tool]
Top 10 property alternatives:
1. type (rdf:type)
2. label (rdfs:label)
3. is Defined By (rdfs:isDefinedBy)
4. depiction (foaf:depiction)
5. comment (rdfs:comment)

No other items found

[Assistant] There are no direct properties for name or country for the entity pv:Supplier. I will try to find the properties of a specific supplier instance to see how the data is structured. I will search for instances of pv:Supplier.

[Tool]
Got 5 rows and 3 columns:
| subject                | property                         | object                                                                                |
| ---------------------- | -------------------------------- | -------------------------------------------------------------------------------------------------------------- |
| Supplier (pv:Supplier) | type (rdf:type)                  | Class (owl:Class)                                                                                |
| Supplier (pv:Supplier) | label (rdfs:label)               | Supplier (en)                                                                                |
| Supplier (pv:Supplier) | is Defined By (rdfs:isDefinedBy) | pv: Products - Vocab (pv:)                                                                                |
| Supplier (pv:Supplier) | comment (rdfs:comment)           | The Supplier of some item(s). (en)                                                                             |
| Supplier (pv:Supplier) | depiction (foaf:depiction)       | company svg?color=#D6AF00&format=svg (<https://api.iconify.design/mdi/company.svg?color=%23D6AF00&format=svg>) |

[Assistant] No instances of suppliers were found directly. I will try to find suppliers linked to hardware products by querying for products with suppliers and get some sample data to understand the structure.

[Tool]
Got 5 rows and 2 columns:
| hardware                                | supplier                                                                                |
| --------------------------------------- | --------------------------------------------------------------------------------------------- |
| hw A145 1240844 (prodi:hw-A145-1240844) | suppl 42a20063 bd30 49d3 8506 ceac4ceb2d9e (prodi:suppl-42a20063-bd30-49d3-8506-ceac4ceb2d9e) |
| hw A166 3766336 (prodi:hw-A166-3766336) | suppl 0301f65d 2290 456b a3f7 b2096a632198 (prodi:suppl-0301f65d-2290-456b-a3f7-b2096a632198) |
| hw A181 1118563 (prodi:hw-A181-1118563) | suppl 816202d7 9e53 402c 94a2 fb21b0e37c0e (prodi:suppl-816202d7-9e53-402c-94a2-fb21b0e37c0e) |
| hw A225 1988393 (prodi:hw-A225-1988393) | suppl 8943ee5e 5f73 4765 85cd 0c2c934f8877 (prodi:suppl-8943ee5e-5f73-4765-85cd-0c2c934f8877) |
| hw A243 3332548 (prodi:hw-A243-3332548) | suppl b8b7794e 329e 4bdc 9fcb 5ddfe9b71248 (prodi:suppl-b8b7794e-329e-4bdc-9fcb-5ddfe9b71248) |

[Assistant] I found some hardware items and their suppliers. Now I will check the properties of one supplier instance to find the name and country properties. I will list properties of the supplier "prodi:suppl-42a20063-bd30-49d3-8506-ceac4ceb2d9e".

[Tool]
Got 9 rows and 3 columns:
| subject                                                                                | property                                     | object                               |
| --------------------------------------------------------------------------------------------- | -------------------------------------------- | ------------------------------------ |
| suppl 42a20063 bd30 49d3 8506 ceac4ceb2d9e (prodi:suppl-42a20063-bd30-49d3-8506-ceac4ceb2d9e) | type (rdf:type)                              | Supplier (pv:Supplier)               |
| suppl 42a20063 bd30 49d3 8506 ceac4ceb2d9e (prodi:suppl-42a20063-bd30-49d3-8506-ceac4ceb2d9e) | label (rdfs:label)                           | Davis-Wagner (Spain)                 |
| suppl 42a20063 bd30 49d3 8506 ceac4ceb2d9e (prodi:suppl-42a20063-bd30-49d3-8506-ceac4ceb2d9e) | name (pv:name)                               | Davis-Wagner                         |
| suppl 42a20063 bd30 49d3 8506 ceac4ceb2d9e (prodi:suppl-42a20063-bd30-49d3-8506-ceac4ceb2d9e) | ID (pv:id)                                   | 42a20063-bd30-49d3-8506-ceac4ceb2d9e |
| suppl 42a20063 bd30 49d3 8506 ceac4ceb2d9e (prodi:suppl-42a20063-bd30-49d3-8506-ceac4ceb2d9e) | address country (pv:addressCountry)          | Spain                                |
| suppl 42a20063 bd30 49d3 8506 ceac4ceb2d9e (prodi:suppl-42a20063-bd30-49d3-8506-ceac4ceb2d9e) | address country code (pv:addressCountryCode) | ES                                   |
| suppl 42a20063 bd30 49d3 8506 ceac4ceb2d9e (prodi:suppl-42a20063-bd30-49d3-8506-ceac4ceb2d9e) | address locality (pv:addressLocality)        | Bormujos                             |
| suppl 42a20063 bd30 49d3 8506 ceac4ceb2d9e (prodi:suppl-42a20063-bd30-49d3-8506-ceac4ceb2d9e) | lat (wgs84:lat)                              | 37.3715939                           |
| suppl 42a20063 bd30 49d3 8506 ceac4ceb2d9e (prodi:suppl-42a20063-bd30-49d3-8506-ceac4ceb2d9e) | long (wgs84:long)                            | -6.07133                             |

[Assistant] The supplier has the properties pv:name for the name and pv:addressCountry for the country. I will now write a refined SPARQL query to get the suppliers (name, country) and price for the 6th to 10th most expensive hardware items.

[Tool] Stopped generation process