PREFIX rdfs: <http://www.w3.org/2000/01/rdf-schema#>
PREFIX prodi: <http://ld.company.org/prod-instances/>
PREFIX pv: <http://ld.company.org/prod-vocab/>
PREFIX dbpedia: <http://dbpedia.org/resource/>
SELECT DISTINCT ?supplier ?supplierLabel WHERE {
  ?product pv:hasCategory prodi:prod-cat-Compensator .
  ?product pv:hasSupplier ?supplier .
  ?supplier pv:country dbpedia:France .
  OPTIONAL {
    ?supplier rdfs:label ?supplierLabel
  }
}

The suppliers in France who deliver Compensators are:
- Harris-Cunningham (France) (prodi:suppl-1ee8f22a-1460-4875-b1a8-89d7cb2607d6)
- James-Wright (France) (prodi:suppl-22b9733f-4b49-4e82-82b9-d4f87d2b5916)
- Jordan, James and Bradley (France) (prodi:suppl-2b70d47e-fa6a-4329-8112-22287096bc44)

Which supplier in France delivers 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 in France delivers Compensators?

[Assistant]
Let's break down the question:

1. We are looking for suppliers located in France.
2. These suppliers must deliver (supply) "Compensators".

Step 1: Identify the entity for "Compensators".
Step 2: Identify the entity for "France".
Step 3: Find properties related to "supplier", "location", and "delivers" or "supplies".
Step 4: Combine these to find suppliers in France who deliver Compensators.

Let's start by searching for the entity "Compensators".

[Tool] No entity items found

[Assistant]
It appears that there is no direct entity labeled "Compensators" in the knowledge graph. However, sometimes entities may be listed under a different label or a more specific/technical term.

Next, I will try searching for related terms such as "Compensator" (singular) or possible synonyms. Let's try "Compensator" first.

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

[Assistant]
I found an entity called "prod cat Compensator" (prodi:prod-cat-Compensator), which is a Product Category. This likely represents the "Compensators" you are referring to.

Next, I will search for the entity representing "France" to identify suppliers located there.

[Tool]
Top 10 entity alternatives:
1. France (dbpedia:France)

[Assistant]
The entity for France is dbpedia:France.

Now, I need to identify:
- The property that links a supplier to a location (such as "country" or "located in").
- The property that links a supplier to the products they deliver (such as "delivers", "supplies", or "offers product").

First, let's search for properties related to "supplier".

[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]
From the property search, I found:
- pv:hasSupplier: links a Product to its Supplier.
- pv:country: links a Supplier to a Country.

Now, I need to find how to link a Supplier to the products they deliver. Since pv:hasSupplier links from Product to Supplier, I can use this property in reverse: find Products of category "Compensator" and their suppliers, then filter those suppliers by country "France".

Next, I will check if there is a property linking a Product to its Product Category, so I can find all Products in the "Compensator" 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. supplier (pv:hasSupplier): The supplier of a product., has domain Product, has range Supplier
4. compatible product (pv:compatibleProduct): A compatible product., has domain Product, has range Product
5. sub Class Of (rdfs:subClassOf)
6. part (pv:hasPart): has domain BOM Part, The Product needed., has range Product
7. quantity (pv:quantity): The quantity needed., has domain BOM Part
8. type (rdf:type)
9. country (pv:country): The country where the supplier is located., has domain Supplier, has range Country
10. is Defined By (rdfs:isDefinedBy)

[Assistant]
The property pv:hasCategory links a Product to its Product Category.

So, the plan is:
1. Find all Products with pv:hasCategory prodi:prod-cat-Compensator.
2. For each Product, get its Supplier via pv:hasSupplier.
3. For each Supplier, check if pv:country is dbpedia:France.

Now, I will check if there are labels for Suppliers to make the result more readable. Let's search for properties related to "label" or "name" for Supplier entities.

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

No other items found

[Assistant]
The rdfs:label property can be used to get human-readable names for Suppliers.

Now, I will construct the SPARQL query to:
- Find all Products with pv:hasCategory prodi:prod-cat-Compensator.
- Get their Suppliers via pv:hasSupplier.
- Filter Suppliers whose pv:country is dbpedia:France.
- Optionally, get the rdfs:label for the Supplier.

Here is the query I will execute:

[Tool]
Got 3 rows and 2 columns:
| supplier                                                                                | supplierLabel                      |
| --------------------------------------------------------------------------------------------- | ---------------------------------- |
| suppl 1ee8f22a 1460 4875 b1a8 89d7cb2607d6 (prodi:suppl-1ee8f22a-1460-4875-b1a8-89d7cb2607d6) | Harris-Cunningham (France)         |
| suppl 22b9733f 4b49 4e82 82b9 d4f87d2b5916 (prodi:suppl-22b9733f-4b49-4e82-82b9-d4f87d2b5916) | James-Wright (France)              |
| suppl 2b70d47e fa6a 4329 8112 22287096bc44 (prodi:suppl-2b70d47e-fa6a-4329-8112-22287096bc44) | Jordan, James and Bradley (France) |

[Tool] Stopped generation process


PREFIX prodi: <http://ld.company.org/prod-instances/>
PREFIX pv: <http://ld.company.org/prod-vocab/>
PREFIX rdfs: <http://www.w3.org/2000/01/rdf-schema#>
SELECT ?person ?name WHERE {
  ?person pv:memberOf prodi:dept-85880 ; pv:areaOfExpertise prodi:prod-cat-Network .
  OPTIONAL {
    ?person rdfs:label ?name
  }
}

Got 2 rows and 2 columns:
| person                                                                                | name             |
| -------------------------------------------------------------------------------------------------------------- | ---------------- |
| empl Kevin Feigenbaum@company org (<http://ld.company.org/prod-instances/empl-Kevin.Feigenbaum%40company.org>) | Kevin Feigenbaum |
| empl Lambert Faust@company org (<http://ld.company.org/prod-instances/empl-Lambert.Faust%40company.org>)       | Lambert Faust    |

The Network experts from the Marketing Department are Kevin Feigenbaum and Lambert Faust.

What is the name of the Network expert from the Marketing Department?

[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 name of the Network expert from the Marketing Department?

[Assistant]
Let's break down the question:

1. We are looking for a person who is a "Network expert" and is from the "Marketing Department".
2. We need to identify:
   - The entity for "Network expert" (likely a job title or role).
   - The entity for "Marketing Department".
   - The properties that link a person to their job title/role and to their department.
   - The property for the person's name.

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

[Tool]
Top 10 entity alternatives:
1. prod cat Network (prodi:prod-cat-Network): is a Product Category
2. area of expertise (pv:areaOfExpertise): The product category agent is expert for., has range Product Category, has domain Agent

[Assistant]
The search for "Network expert" returned "prod cat Network" (prodi:prod-cat-Network), which is a Product Category, and "area of expertise" (pv:areaOfExpertise), which is a property indicating expertise. It seems likely that people who are "Network experts" are linked to the "prod cat Network" category via the "area of expertise" property.

Next, I will search for the entity "Marketing Department" to find its identifier.

[Tool]
Top 10 entity alternatives:
1. Department (pv:Department): A department in an organization.
2. emoji department store svg?color=#D6AF00&format=svg (<https://api.iconify.design/arcticons/emoji-department-store.svg?color=%23D6AF00&format=svg>)

[Assistant]
The search for "Marketing Department" did not return a specific entity for "Marketing Department", but it did return a general "Department" entity (pv:Department). To find the specific Marketing Department, I will search for entities with "Marketing" in their name, as it is likely that the department is named accordingly.

Let's search for "Marketing" to find the specific department entity.

[Tool] No entity items found

[Assistant]
The search for "Marketing" did not return any entities. It's possible that the department is named differently or that the knowledge graph uses another naming convention.

To proceed, I will search for all entities that are a type of "Department" and see if any of them correspond to the Marketing Department.

[Tool]
Top 10 entity alternatives:
1. Department (pv:Department): A department in an organization.

No other items found

No literal items found

[Assistant]
It appears that there is only a generic "Department" class (pv:Department) and no specific instances like "Marketing Department" are directly found via search.

To investigate further, I will list some triples where the object is pv:Department to see if there are any specific department instances (such as Marketing) that are typed as a Department.

[Tool]
Got 6 rows and 3 columns:
| subject                       | property        | object                     |
| ----------------------------- | --------------- | -------------------------- |
| dept 22183 (prodi:dept-22183) | type (rdf:type) | Department (pv:Department) |
| dept 85880 (prodi:dept-85880) | type (rdf:type) | Department (pv:Department) |
| dept 41622 (prodi:dept-41622) | type (rdf:type) | Department (pv:Department) |
| dept 84279 (prodi:dept-84279) | type (rdf:type) | Department (pv:Department) |
| dept 73191 (prodi:dept-73191) | type (rdf:type) | Department (pv:Department) |
| dept 66469 (prodi:dept-66469) | type (rdf:type) | Department (pv:Department) |

[Assistant]
There are six department instances in the knowledge graph, but their IRIs (e.g., prodi:dept-22183) do not indicate their names. To identify which one is the Marketing Department, I will check for labels or names associated with these department entities.

I will list properties for one of these department entities (e.g., prodi:dept-22183) to see if there is a label or name property.

[Tool]
Got 16 rows and 3 columns, showing the first 10 rows below:
| subject                       | property                            | object                                  |
| ----------------------------- | ----------------------------------- | --------------------------------------- |
| dept 22183 (prodi:dept-22183) | type (rdf:type)                     | Department (pv:Department)              |
| dept 22183 (prodi:dept-22183) | label (rdfs:label)                  | Product Management                      |
| dept 22183 (prodi:dept-22183) | name (pv:name)                      | Product Management                      |
| dept 22183 (prodi:dept-22183) | ID (pv:id)                          | 22183                                   |
| dept 22183 (prodi:dept-22183) | responsible for (pv:responsibleFor) | hw A688 6056899 (prodi:hw-A688-6056899) |
| dept 22183 (prodi:dept-22183) | responsible for (pv:responsibleFor) | hw G144 5498082 (prodi:hw-G144-5498082) |
| dept 22183 (prodi:dept-22183) | responsible for (pv:responsibleFor) | hw H274 5987347 (prodi:hw-H274-5987347) |
| dept 22183 (prodi:dept-22183) | responsible for (pv:responsibleFor) | hw I980 1040313 (prodi:hw-I980-1040313) |
| dept 22183 (prodi:dept-22183) | responsible for (pv:responsibleFor) | hw L128 5499058 (prodi:hw-L128-5499058) |
| dept 22183 (prodi:dept-22183) | responsible for (pv:responsibleFor) | hw L316 4863597 (prodi:hw-L316-4863597) |
| ...                           | ...                                 | ...                                     |

[Tool]
Got 16 rows and 3 columns, showing the first 10 rows below:
| subject                       | property                            | object                                    |
| ----------------------------- | ----------------------------------- | ----------------------------------------- |
| dept 85880 (prodi:dept-85880) | type (rdf:type)                     | Department (pv:Department)                |
| dept 85880 (prodi:dept-85880) | label (rdfs:label)                  | Marketing                                 |
| dept 85880 (prodi:dept-85880) | name (pv:name)                      | Marketing                                 |
| dept 85880 (prodi:dept-85880) | ID (pv:id)                          | 85880                                     |
| dept 85880 (prodi:dept-85880) | responsible for (pv:responsibleFor) | srv P516 8211068 (prodi:srv-P516-8211068) |
| dept 85880 (prodi:dept-85880) | responsible for (pv:responsibleFor) | srv O662 4012383 (prodi:srv-O662-4012383) |
| dept 85880 (prodi:dept-85880) | responsible for (pv:responsibleFor) | srv U360 2815908 (prodi:srv-U360-2815908) |
| dept 85880 (prodi:dept-85880) | responsible for (pv:responsibleFor) | hw C831 2580759 (prodi:hw-C831-2580759)   |
| dept 85880 (prodi:dept-85880) | responsible for (pv:responsibleFor) | hw D334 6681399 (prodi:hw-D334-6681399)   |
| dept 85880 (prodi:dept-85880) | responsible for (pv:responsibleFor) | hw D844 3535311 (prodi:hw-D844-3535311)   |
| ...                           | ...                                 | ...                                       |

[Assistant]
The department with IRI prodi:dept-85880 has the label and name "Marketing". This is the Marketing Department.

Now, I need to find people who:
- Have an area of expertise in "prod cat Network" (prodi:prod-cat-Network)
- Are members of the Marketing Department (prodi:dept-85880)
- Retrieve their names

First, I will search for properties that link a person to their department and to their area of expertise.

[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. label (rdfs:label)
3. country (pv:country): The country where the supplier is located., has domain Supplier, has range Country
4. part (pv:hasPart): has domain BOM Part, The Product needed., has range Product
5. has manager (pv:hasManager): The manager of the employee., has domain Employee, has range Manager
6. responsible for (pv:responsibleFor): The product for which a department is responsible., has domain Department, has range Product
7. sub Class Of (rdfs:subClassOf)
8. quantity (pv:quantity): The quantity needed., has domain BOM Part
9. member of (pv:memberOf): The department to which an agents belongs., has range Department, has domain Agent
10. type (rdf:type)

[Assistant]
The property "pv:memberOf" is used to link an agent (person) to their department. The property "pv:areaOfExpertise" links an agent to their area of expertise (such as "prod cat Network").

Now, I will search for people who are members of the Marketing Department and have expertise in Network, and retrieve their names. I will also check which property is used for the person's name (likely rdfs:label or pv:name).

Let's first check which entities are linked to the Marketing Department via pv:memberOf.

[Tool]
No entity items found

No other items found

No literal items found

[Assistant]
It appears that searching for objects of pv:memberOf with "prodi:dept-85880" did not return any results. This could be due to the way the data is structured or indexed.

To proceed, I will list some triples where the property is pv:memberOf to see which entities are linked to departments and to confirm the structure.

[Tool]
Got 53 rows and 3 columns, showing the first 10 rows below:
| subject                                                                                | property                | object                        |
| -------------------------------------------------------------------------------------------------------------- | ----------------------- | ----------------------------- |
| empl Wolfgang Martin@company org (<http://ld.company.org/prod-instances/empl-Wolfgang.Martin%40company.org>)   | member of (pv:memberOf) | dept 41622 (prodi:dept-41622) |
| empl Thomas Mueller@company org (<http://ld.company.org/prod-instances/empl-Thomas.Mueller%40company.org>)     | member of (pv:memberOf) | dept 73191 (prodi:dept-73191) |
| empl Franziska Acker@company org (<http://ld.company.org/prod-instances/empl-Franziska.Acker%40company.org>)   | member of (pv:memberOf) | dept 22183 (prodi:dept-22183) |
| empl Bert Blumstein@company org (<http://ld.company.org/prod-instances/empl-Bert.Blumstein%40company.org>)     | member of (pv:memberOf) | dept 85880 (prodi:dept-85880) |
| empl Elisabeth Harman@company org (<http://ld.company.org/prod-instances/empl-Elisabeth.Harman%40company.org>) | member of (pv:memberOf) | dept 84279 (prodi:dept-84279) |
| empl Reiner Widmann@company org (<http://ld.company.org/prod-instances/empl-Reiner.Widmann%40company.org>)     | member of (pv:memberOf) | dept 66469 (prodi:dept-66469) |
| empl Gretel Roth@company org (<http://ld.company.org/prod-instances/empl-Gretel.Roth%40company.org>)           | member of (pv:memberOf) | dept 41622 (prodi:dept-41622) |
| empl Elena Herzog@company org (<http://ld.company.org/prod-instances/empl-Elena.Herzog%40company.org>)         | member of (pv:memberOf) | dept 41622 (prodi:dept-41622) |
| empl Kevin Feigenbaum@company org (<http://ld.company.org/prod-instances/empl-Kevin.Feigenbaum%40company.org>) | member of (pv:memberOf) | dept 85880 (prodi:dept-85880) |
| empl Manfred Foth@company org (<http://ld.company.org/prod-instances/empl-Manfred.Foth%40company.org>)         | member of (pv:memberOf) | dept 73191 (prodi:dept-73191) |
| ...                                                                                | ...                     | ...                           |

[Assistant]
From the results, I see that there are employees who are members of the Marketing Department (prodi:dept-85880), such as Bert Blumstein and Kevin Feigenbaum.

Now, I need to check which of these employees have an area of expertise in "prod cat Network" (prodi:prod-cat-Network). I will check the properties of one of these employees (e.g., Bert Blumstein) to see how expertise is represented and which property is used for their name.

[Tool]
Got 8 rows and 3 columns:
| subject                                                                                | property                               | object                                                                                |
| ---------------------------------------------------------------------------------------------------------- | -------------------------------------- | -------------------------------------------------------------------------------------------------------------- |
| empl Bert Blumstein@company org (<http://ld.company.org/prod-instances/empl-Bert.Blumstein%40company.org>) | type (rdf:type)                        | Employee (pv:Employee)                                                                                |
| empl Bert Blumstein@company org (<http://ld.company.org/prod-instances/empl-Bert.Blumstein%40company.org>) | label (rdfs:label)                     | Bert Blumstein                                                                                |
| empl Bert Blumstein@company org (<http://ld.company.org/prod-instances/empl-Bert.Blumstein%40company.org>) | name (pv:name)                         | Bert Blumstein                                                                                |
| empl Bert Blumstein@company org (<http://ld.company.org/prod-instances/empl-Bert.Blumstein%40company.org>) | area of expertise (pv:areaOfExpertise) | prod cat Compensator (prodi:prod-cat-Compensator)                                                              |
| empl Bert Blumstein@company org (<http://ld.company.org/prod-instances/empl-Bert.Blumstein%40company.org>) | email (pv:email)                       | Bert.Blumstein@company.org                                                                                |
| empl Bert Blumstein@company org (<http://ld.company.org/prod-instances/empl-Bert.Blumstein%40company.org>) | member of (pv:memberOf)                | dept 85880 (prodi:dept-85880)                                                                                |
| empl Bert Blumstein@company org (<http://ld.company.org/prod-instances/empl-Bert.Blumstein%40company.org>) | has manager (pv:hasManager)            | empl Dietlinde Boehme@company org (<http://ld.company.org/prod-instances/empl-Dietlinde.Boehme%40company.org>) |
| empl Bert Blumstein@company org (<http://ld.company.org/prod-instances/empl-Bert.Blumstein%40company.org>) | address text (pv:addressText)          | Wilhelmstraße 232, 15114 Königsberg                                                                            |

[Tool]
Got 10 rows and 3 columns:
| subject                                                                                | property                               | object                                                                                |
| -------------------------------------------------------------------------------------------------------------- | -------------------------------------- | -------------------------------------------------------------------------------------------------------------- |
| empl Kevin Feigenbaum@company org (<http://ld.company.org/prod-instances/empl-Kevin.Feigenbaum%40company.org>) | type (rdf:type)                        | Employee (pv:Employee)                                                                                |
| empl Kevin Feigenbaum@company org (<http://ld.company.org/prod-instances/empl-Kevin.Feigenbaum%40company.org>) | label (rdfs:label)                     | Kevin Feigenbaum                                                                                |
| empl Kevin Feigenbaum@company org (<http://ld.company.org/prod-instances/empl-Kevin.Feigenbaum%40company.org>) | name (pv:name)                         | Kevin Feigenbaum                                                                                |
| empl Kevin Feigenbaum@company org (<http://ld.company.org/prod-instances/empl-Kevin.Feigenbaum%40company.org>) | area of expertise (pv:areaOfExpertise) | prod cat Encoder (prodi:prod-cat-Encoder)                                                                      |
| empl Kevin Feigenbaum@company org (<http://ld.company.org/prod-instances/empl-Kevin.Feigenbaum%40company.org>) | email (pv:email)                       | Kevin.Feigenbaum@company.org                                                                                |
| empl Kevin Feigenbaum@company org (<http://ld.company.org/prod-instances/empl-Kevin.Feigenbaum%40company.org>) | member of (pv:memberOf)                | dept 85880 (prodi:dept-85880)                                                                                |
| empl Kevin Feigenbaum@company org (<http://ld.company.org/prod-instances/empl-Kevin.Feigenbaum%40company.org>) | has manager (pv:hasManager)            | empl Dietlinde Boehme@company org (<http://ld.company.org/prod-instances/empl-Dietlinde.Boehme%40company.org>) |
| empl Kevin Feigenbaum@company org (<http://ld.company.org/prod-instances/empl-Kevin.Feigenbaum%40company.org>) | area of expertise (pv:areaOfExpertise) | prod cat Resonator (prodi:prod-cat-Resonator)                                                                  |
| empl Kevin Feigenbaum@company org (<http://ld.company.org/prod-instances/empl-Kevin.Feigenbaum%40company.org>) | area of expertise (pv:areaOfExpertise) | prod cat Oscillator (prodi:prod-cat-Oscillator)                                                                |
| empl Kevin Feigenbaum@company org (<http://ld.company.org/prod-instances/empl-Kevin.Feigenbaum%40company.org>) | area of expertise (pv:areaOfExpertise) | prod cat Network (prodi:prod-cat-Network)                                                                      |

[Assistant]
Kevin Feigenbaum is a member of the Marketing Department and has "prod cat Network" (prodi:prod-cat-Network) as one of his areas of expertise. His name is available via both rdfs:label and pv:name.

Now, I will write a SPARQL query to find all employees who:
- Are members of the Marketing Department (prodi:dept-85880)
- Have area of expertise in Network (prodi:prod-cat-Network)
- Return their IRI and name (using rdfs:label as the main label)

Let's construct and execute the final SPARQL query.

[Tool]
Got 2 rows and 2 columns:
| person                                                                                | name             |
| -------------------------------------------------------------------------------------------------------------- | ---------------- |
| empl Kevin Feigenbaum@company org (<http://ld.company.org/prod-instances/empl-Kevin.Feigenbaum%40company.org>) | Kevin Feigenbaum |
| empl Lambert Faust@company org (<http://ld.company.org/prod-instances/empl-Lambert.Faust%40company.org>)       | Lambert Faust    |

[Tool] Stopped generation process


PREFIX pv: <http://ld.company.org/prod-vocab/>
PREFIX rdfs: <http://www.w3.org/2000/01/rdf-schema#>
SELECT ?supplier ?label WHERE {
  ?supplier pv:addressLocality "Toulouse" .
  OPTIONAL {
    ?supplier rdfs:label ?label
  }
}

The supplier we have in Toulouse is Harris-Cunningham (France) (IRI: prodi:suppl-1ee8f22a-1460-4875-b1a8-89d7cb2607d6).

[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 suppliers do we have in Toulouse?

[Assistant]
Let's break down the question:

1. Entities: "suppliers" and "Toulouse" (a city).
2. Properties: We need to find suppliers (likely a class or type) and their location (probably a property like "located in", "address", "city", etc.).

Step 1: Search for the entity "Toulouse" to get its IRI in the knowledge graph.

[Tool] No entity items found

[Assistant]
The search for "Toulouse" did not return any entities. This could mean that the city is either not present in the knowledge graph, or it is represented under a different label or spelling.

Next, I will try searching for "supplier" to identify how suppliers are represented in the knowledge graph.

[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]
I found that "Supplier" is represented as pv:Supplier in the knowledge graph, and there is also a property pv:hasSupplier.

Since "Toulouse" did not return any results, I will try searching for "city" or "location" to see how locations are represented, and then look for possible values or properties related to cities.

[Tool]
Top 10 property alternatives:
1. country (pv:country): The country where the supplier is located., has domain Supplier, has range Country
2. lat (wgs84:lat)
3. member of (pv:memberOf): The department to which an agents belongs., has range Department, has domain Agent
4. name (foaf:name):

5. name (pv:name): The name of something.
6. part (pv:hasPart): has domain BOM Part, The Product needed., has range Product
7. type (rdf:type)
8. license (<http://creativecommons.org/ns#license>)
9. currency (pv:currency): has domain Price, The currency.
10. price (pv:price): The price specification of a product., has domain Product, has range Price

[Assistant] There is no direct property for "city", but there is a property "country" (pv:country) for suppliers. Since "city" is not found, I will try searching for "location" to see if there is a more general property that could include cities.

[Tool]
Top 10 property alternatives:
1. country (pv:country): The country where the supplier is located., has domain Supplier, has range Country
2. price (pv:price): The price specification of a product., has domain Product, has range Price
3. name (foaf:name):

4. name (pv:name): The name of something.
5. lat (wgs84:lat)
6. phone number (pv:phone): has domain Agent, A phone number.
7. address text (pv:addressText): The address text., has domain Agent
8. address locality (pv:addressLocality): The address locality (city)., has domain Agent
9. range (rdfs:range)
10. member of (pv:memberOf): The department to which an agents belongs., has range Department, has domain Agent

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

No other items found

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

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

[Tool]
Top 10 property alternatives:
1. label (rdfs:label)
2. type (rdf:type)
3. comment (rdfs:comment)

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

[Tool]
Top 10 property alternatives:
1. address locality (pv:addressLocality): The address locality (city)., has domain Agent
2. address text (pv:addressText): The address text., has domain Agent
3. address country (pv:addressCountry): The address country., has domain Agent
4. address country code (pv:addressCountryCode): The address country code., has domain Agent
5. lat (wgs84:lat)
6. domain (rdfs:domain)
7. range (rdfs:range)
8. email (pv:email): The e-mail of an agent., has domain Agent
9. preferred Namespace Prefix (vann:preferredNamespacePrefix)
10. preferred Namespace Uri (vann:preferredNamespaceUri)

[Tool]
Got 250 rows and 3 columns, showing the first 10 rows below:
| subject                                                                                | property                              | object       |
| --------------------------------------------------------------------------------------------- | ------------------------------------- | ------------ |
| suppl f76eb805 4d84 4b4b 9aa3 95c287be41d0 (prodi:suppl-f76eb805-4d84-4b4b-9aa3-95c287be41d0) | address locality (pv:addressLocality) | Chākia       |
| suppl 847abdb2 44de 41ba a4ec 235dc4f4a617 (prodi:suppl-847abdb2-44de-41ba-a4ec-235dc4f4a617) | address locality (pv:addressLocality) | Düzce        |
| suppl dc1364ba 300b 4fcb 949a 4cd90afee69b (prodi:suppl-dc1364ba-300b-4fcb-949a-4cd90afee69b) | address locality (pv:addressLocality) | Bānka        |
| suppl 3288e7a5 6b1b 482e 8c95 3265f948ae03 (prodi:suppl-3288e7a5-6b1b-482e-8c95-3265f948ae03) | address locality (pv:addressLocality) | Yicheng      |
| suppl 47528cbf c41b 4897 b917 6f4c1394fe1f (prodi:suppl-47528cbf-c41b-4897-b917-6f4c1394fe1f) | address locality (pv:addressLocality) | Murrieta     |
| suppl 7608b763 1e52 4ad9 94b0 d574af19612c (prodi:suppl-7608b763-1e52-4ad9-94b0-d574af19612c) | address locality (pv:addressLocality) | Bundibugyo   |
| suppl b9dfb874 fb5d 4d34 8a13 e4f1395f3c6e (prodi:suppl-b9dfb874-fb5d-4d34-8a13-e4f1395f3c6e) | address locality (pv:addressLocality) | Shiyan       |
| suppl 27f8059f fe10 4a39 aa68 d66210c9cc59 (prodi:suppl-27f8059f-fe10-4a39-aa68-d66210c9cc59) | address locality (pv:addressLocality) | Sơn Tây      |
| suppl 2f7172a0 e935 4dfc 98a6 b48dcec0ad18 (prodi:suppl-2f7172a0-e935-4dfc-98a6-b48dcec0ad18) | address locality (pv:addressLocality) | António Enes |
| suppl 7c930e8b b9f3 450a 856b 5e03c6b3965e (prodi:suppl-7c930e8b-b9f3-450a-856b-5e03c6b3965e) | address locality (pv:addressLocality) | Laramie      |
| ...                                                                                | ...                                   | ...          |

[Tool]
No entity items found

No other items found

Top 10 literal alternatives:
1. Toulouse

[Tool]
Got 1 row and 1 column:
| supplier                                                                                |
| --------------------------------------------------------------------------------------------- |
| suppl 1ee8f22a 1460 4875 b1a8 89d7cb2607d6 (prodi:suppl-1ee8f22a-1460-4875-b1a8-89d7cb2607d6) |

[Tool]
Got 1 row and 2 columns:
| supplier                                                                                | label                      |
| --------------------------------------------------------------------------------------------- | -------------------------- |
| suppl 1ee8f22a 1460 4875 b1a8 89d7cb2607d6 (prodi:suppl-1ee8f22a-1460-4875-b1a8-89d7cb2607d6) | Harris-Cunningham (France) |

[Tool] Stopped generation process


PREFIX rdfs: <http://www.w3.org/2000/01/rdf-schema#>
PREFIX pv: <http://ld.company.org/prod-vocab/>
PREFIX dbpedia: <http://dbpedia.org/resource/>
SELECT DISTINCT ?bom ?bomLabel WHERE {
  ?bom a ?bomType .
  ?bom pv:hasBomPart ?bomPart .
  ?bomPart pv:hasPart ?product .
  ?product pv:hasSupplier ?supplier .
  ?supplier pv:country dbpedia:Poland .
  OPTIONAL {
    ?bom rdfs:label ?bomLabel
  }
}

Got 3 rows and 2 columns:
| bom                   | bomLabel             |
| --------------------- | -------------------- |
| bom 11 (prodi:bom-11) | TransElectro Voyager |
| bom 12 (prodi:bom-12) | AeroVibe Matrix      |
| bom 6 (prodi:bom-6)   | MechaVolt Surge      |

The BOMs which have at least one part from a Polish supplier are:
- prodi:bom-11 (TransElectro Voyager)
- prodi:bom-12 (AeroVibe Matrix)
- prodi:bom-6 (MechaVolt Surge)

Show me all BOMs which have at least on part from a polish 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] Show me all BOMs which have at least on part from a polish supplier.

[Assistant]
Let's break down the question:

1. We are looking for all BOMs (Bills of Materials).
2. Each BOM should have at least one part.
3. That part must be supplied by a supplier from Poland.

Step 1: Identify entities and properties.
- BOMs: likely an entity type, possibly with "BOM" or "Bill of Material" in the label/type.
- Parts: likely linked to BOMs via a property like "has part" or "contains part".
- Suppliers: likely linked to parts via a property like "supplied by" or "supplier".
- Polish supplier: suppliers with a location/country property set to Poland.

Step 2: Search for relevant entities and properties.

First, let's search for "BOM" to find the entity or class for BOMs.

[Tool]
Top 10 entity alternatives:
1. BOM Part (pv:BomPart): A (number of) part(s) in a BOM.
2. bom 4 (prodi:bom-4): is a Bill of Material (BOM)
3. bom 19 (prodi:bom-19): is a Bill of Material (BOM)
4. bom 12 (prodi:bom-12): is a Bill of Material (BOM)
5. bom 2 (prodi:bom-2): is a Bill of Material (BOM)
6. bom 11 (prodi:bom-11): is a Bill of Material (BOM)
7. bom 18 (prodi:bom-18): is a Bill of Material (BOM)
8. bom 6 (prodi:bom-6): is a Bill of Material (BOM)
9. bom 15 (prodi:bom-15): is a Bill of Material (BOM)
10. bom 5 (prodi:bom-5): is a Bill of Material (BOM)

[Assistant]
From the search, it looks like individual BOMs are represented as instances like prodi:bom-4, prodi:bom-19, etc. There is also a class/entity "BOM Part" (pv:BomPart), which likely represents parts within a BOM.

Next, let's search for the property that links a BOM to its parts. I'll search for properties related to "part".

[Tool]
Top 10 property alternatives:
1. part (pv:hasPart): has domain BOM Part, The Product needed., has range Product
2. member of (pv:memberOf): The department to which an agents belongs., has range Department, has domain Agent
3. contributor (dct:contributor)
4. country (pv:country): The country where the supplier is located., has domain Supplier, has range Country
5. has BOM Part (pv:hasBomPart): has domain Bill of Material (BOM), A part(s) used in this BOM., has range BOM Part
6. type (rdf:type)
7. sub Class Of (rdfs:subClassOf)
8. quantity (pv:quantity): The quantity needed., has domain BOM Part
9. label (rdfs:label)
10. modified (dct:modified)

[Assistant]
The property pv:hasBomPart links a BOM to its BOM Parts. The property pv:hasPart links a BOM Part to a Product.

Now, let's find how a BOM Part is linked to a supplier. I'll search for properties related to "supplier".

[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]
The property pv:hasSupplier links a Product to a Supplier. The property pv:country links a Supplier to a Country.

Now, let's check how "Poland" is represented in the knowledge graph, so we can filter suppliers from Poland. I'll search for "Poland".

[Tool]
Top 10 entity alternatives:
1. Poland (dbpedia:Poland)

[Assistant]
"Poland" is represented as dbpedia:Poland in the knowledge graph.

Let's summarize the path:
- BOM (e.g., prodi:bom-4) --pv:hasBomPart--> BOM Part --pv:hasPart--> Product --pv:hasSupplier--> Supplier --pv:country--> dbpedia:Poland

Now, let's construct a SPARQL query to find all BOMs that have at least one part supplied by a Polish supplier. We'll return the BOM IRIs and optionally their labels.

I'll write the query accordingly.

[Tool]
Got 3 rows and 2 columns:
| bom                   | bomLabel             |
| --------------------- | -------------------- |
| bom 11 (prodi:bom-11) | TransElectro Voyager |
| bom 12 (prodi:bom-12) | AeroVibe Matrix      |
| bom 6 (prodi:bom-6)   | MechaVolt Surge      |

[Tool] Stopped generation process


PREFIX foaf: <http://xmlns.com/foaf/0.1/>
PREFIX pv: <http://ld.company.org/prod-vocab/>
PREFIX rdfs: <http://www.w3.org/2000/01/rdf-schema#>
SELECT ?employee ?employeeLabel ?employeeName ?employeeFoafName ?email ?phone ?department ?departmentLabel ?manager ?managerLabel ?managerName ?managerFoafName WHERE {
  ?employee a pv:Employee .
  OPTIONAL {
    ?employee rdfs:label ?employeeLabel .
  }
  OPTIONAL {
    ?employee pv:name ?employeeName .
  }
  OPTIONAL {
    ?employee foaf:name ?employeeFoafName .
  }
  OPTIONAL {
    ?employee pv:email ?email .
  }
  OPTIONAL {
    ?employee pv:phone ?phone .
  }
  OPTIONAL {
    ?employee pv:memberOf ?department .
    OPTIONAL {
      ?department rdfs:label ?departmentLabel .
    }
  }
  OPTIONAL {
    ?employee pv:hasManager ?manager .
    OPTIONAL {
      ?manager rdfs:label ?managerLabel .
    }
    OPTIONAL {
      ?manager pv:name ?managerName .
    }
    OPTIONAL {
      ?manager foaf:name ?managerFoafName .
    }
  }
}

Got 47 rows and 12 columns, showing the first 5 and last 5 columns and the first 5 and last 5 rows below:
| employee                                                                                | employeeLabel       | employeeName        | employeeFoafName | email                           | ... | departmentLabel    | manager                                                                                | managerLabel      | managerName       | managerFoafName |
| -------------------------------------------------------------------------------------------------------------------- | ------------------- | ------------------- | ---------------- | ------------------------------- | --- | ------------------ | ---------------------------------------------------------------------------------------------------------------- | ----------------- | ----------------- | --------------- |
| empl Adolfina Hoch@company org (<http://ld.company.org/prod-instances/empl-Adolfina.Hoch%40company.org>)             | Adolfina Hoch       | Adolfina Hoch       |                  | Adolfina.Hoch@company.org       | ... | Product Management | empl Franz Kornhaeusel@company org (<http://ld.company.org/prod-instances/empl-Franz.Kornhaeusel%40company.org>) | Franz Kornhaeusel | Franz Kornhaeusel |                 |
| empl Anamchara Foerstner@company org (<http://ld.company.org/prod-instances/empl-Anamchara.Foerstner%40company.org>) | Anamchara Foerstner | Anamchara Foerstner |                  | Anamchara.Foerstner@company.org | ... | Data Services      | empl Elena Herzog@company org (<http://ld.company.org/prod-instances/empl-Elena.Herzog%40company.org>)           | Elena Herzog      | Elena Herzog      |                 |
| empl Arendt Beitel@company org (<http://ld.company.org/prod-instances/empl-Arendt.Beitel%40company.org>)             | Arendt Beitel       | Arendt Beitel       |                  | Arendt.Beitel@company.org       | ... | Product Management | empl Franz Kornhaeusel@company org (<http://ld.company.org/prod-instances/empl-Franz.Kornhaeusel%40company.org>) | Franz Kornhaeusel | Franz Kornhaeusel |                 |
| empl Arnelle Gerber@company org (<http://ld.company.org/prod-instances/empl-Arnelle.Gerber%40company.org>)           | Arnelle Gerber      | Arnelle Gerber      |                  | Arnelle.Gerber@company.org      | ... | Data Services      | empl Elena Herzog@company org (<http://ld.company.org/prod-instances/empl-Elena.Herzog%40company.org>)           | Elena Herzog      | Elena Herzog      |                 |
| empl Baldwin Dirksen@company org (<http://ld.company.org/prod-instances/empl-Baldwin.Dirksen%40company.org>)         | Baldwin Dirksen     | Baldwin Dirksen     |                  | Baldwin.Dirksen@company.org     | ... | Marketing          | empl Dietlinde Boehme@company org (<http://ld.company.org/prod-instances/empl-Dietlinde.Boehme%40company.org>)   | Dietlinde Boehme  | Dietlinde Boehme  |                 |
| ...                                                                                | ...                 | ...                 | ...              | ...                             | ... | ...                | ...                                                                                | ...               | ...               | ...             |
| empl Valda Everhart@company org (<http://ld.company.org/prod-instances/empl-Valda.Everhart%40company.org>)           | Valda Everhart      | Valda Everhart      |                  | Valda.Everhart@company.org      | ... | Marketing          | empl Dietlinde Boehme@company org (<http://ld.company.org/prod-instances/empl-Dietlinde.Boehme%40company.org>)   | Dietlinde Boehme  | Dietlinde Boehme  |                 |
| empl Wanja Hoffmann@company org (<http://ld.company.org/prod-instances/empl-Wanja.Hoffmann%40company.org>)           | Wanja Hoffmann      | Wanja Hoffmann      |                  | Wanja.Hoffmann@company.org      | ... | Product Management | empl Franz Kornhaeusel@company org (<http://ld.company.org/prod-instances/empl-Franz.Kornhaeusel%40company.org>) | Franz Kornhaeusel | Franz Kornhaeusel |                 |
| empl Wolfgang Martin@company org (<http://ld.company.org/prod-instances/empl-Wolfgang.Martin%40company.org>)         | Wolfgang Martin     | Wolfgang Martin     |                  | Wolfgang.Martin@company.org     | ... | Data Services      | empl Elena Herzog@company org (<http://ld.company.org/prod-instances/empl-Elena.Herzog%40company.org>)           | Elena Herzog      | Elena Herzog      |                 |
| empl Xochitl Aue@company org (<http://ld.company.org/prod-instances/empl-Xochitl.Aue%40company.org>)                 | Xochitl Aue         | Xochitl Aue         |                  | Xochitl.Aue@company.org         | ... | Product Management | empl Franz Kornhaeusel@company org (<http://ld.company.org/prod-instances/empl-Franz.Kornhaeusel%40company.org>) | Franz Kornhaeusel | Franz Kornhaeusel |                 |
| empl Yanka Schreiber@company org (<http://ld.company.org/prod-instances/empl-Yanka.Schreiber%40company.org>)         | Yanka Schreiber     | Yanka Schreiber     |                  | Yanka.Schreiber@company.org     | ... | Marketing          | empl Dietlinde Boehme@company org (<http://ld.company.org/prod-instances/empl-Dietlinde.Boehme%40company.org>)   | Dietlinde Boehme  | Dietlinde Boehme  |                 |

For each employee, you can retrieve their name (rdfs:label, pv:name, foaf:name), email (pv:email), phone number (pv:phone), the department they belong to (pv:memberOf, with department name rdfs:label), and their direct report/manager (pv:hasManager, with manager name rdfs:label, pv:name, foaf:name) using this query. The result includes all employee IRIs and the requested information where available.

I want to update my contact list, for each Employee give me name, email, phone number and the department they belong to as well as their direct report.

[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] I want to update my contact list, for each Employee give me name, email, phone number and the department they belong to as well as their direct report.

[Assistant]
Let's break down the question:

1. Entities: Employee, Department.
2. Properties: name, email, phone number, department, direct report.

Step 1: Search for the "Employee" entity in the knowledge graph to get its identifier and related properties.

Step 2: Search for properties related to name, email, phone number, department, and direct report for the Employee entity.

Let's start by searching for the "Employee" entity.

[Tool]
Top 10 entity alternatives:
1. Employee (pv:Employee): An employee in my company., is subclass of Agent
2. employee line svg?color=#D6AF00&format=svg (<https://api.iconify.design/clarity/employee-line.svg?color=%23D6AF00&format=svg>)

[Assistant]
The main entity for Employee is pv:Employee. Next, I need to find the relevant properties for name, email, phone number, department, and direct report for this entity.

I'll search for properties related to "name" for pv:Employee first.

[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)
6. sub Class Of (rdfs:subClassOf)

No other items found

[Assistant] The property for name appears to be rdfs:label. Now, I'll search for properties related to "email" for pv:Employee.

[Tool]
Top 10 property alternatives:
1. comment (rdfs:comment)
2. label (rdfs:label)
3. type (rdf:type)

No other items found

[Assistant] It seems there is no direct property labeled "email" for pv:Employee. However, sometimes email properties use common vocabularies like foaf:mbox or schema:email. I'll search for properties related to "email" in general in the knowledge graph.

[Tool]
Top 10 property alternatives:
1. email (pv:email): The e-mail of an agent., has domain Agent
2. address text (pv:addressText): The address text., has domain Agent
3. address country (pv:addressCountry): The address country., has domain Agent
4. comment (rdfs:comment)
5. phone number (pv:phone): has domain Agent, A phone number.
6. name (foaf:name):

7. name (pv:name): The name of something.
8. license (<http://creativecommons.org/ns#license>)
9. label (rdfs:label)
10. ID (pv:id): The ID of a thing.

[Assistant]
The property for email is pv:email, and for phone number, it is pv:phone. For name, there are options: foaf:name, pv:name, and rdfs:label. I will include all three to ensure completeness.

Next, I'll search for the property related to "department" for pv:Employee.

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

No other items found

[Assistant] There is no direct property labeled "department" for pv:Employee. Departments are often modeled as a relationship to another entity, possibly with a property like "memberOf", "department", or similar. I'll search for properties related to "department" in general in the knowledge graph.

[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. label (rdfs:label)
3. country (pv:country): The country where the supplier is located., has domain Supplier, has range Country
4. part (pv:hasPart): has domain BOM Part, The Product needed., has range Product
5. has manager (pv:hasManager): The manager of the employee., has domain Employee, has range Manager
6. responsible for (pv:responsibleFor): The product for which a department is responsible., has domain Department, has range Product
7. sub Class Of (rdfs:subClassOf)
8. quantity (pv:quantity): The quantity needed., has domain BOM Part
9. member of (pv:memberOf): The department to which an agents belongs., has range Department, has domain Agent
10. type (rdf:type)

[Assistant]
The property pv:memberOf is described as "The department to which an agent belongs." This is the property we need for department.

Now, I'll search for the property related to "direct report" for pv:Employee. This could be called "reportsTo", "manager", or similar.

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

No other items found

[Assistant]
No direct property for "report" is found for pv:Employee. From the previous department property search, I noticed pv:hasManager: "The manager of the employee." This could represent the direct report (i.e., the person the employee reports to).

Now, let's summarize the properties and entities:
- Employee: pv:Employee
- Name: rdfs:label, foaf:name, pv:name (will use all, prefer rdfs:label)
- Email: pv:email
- Phone: pv:phone
- Department: pv:memberOf (range Department)
- Direct report: pv:hasManager

Next, let's check what the Department entity looks like, so we can get its name/label.

[Tool]
Top 10 entity alternatives:
1. Department (pv:Department): A department in an organization.
2. emoji department store svg?color=#D6AF00&format=svg (<https://api.iconify.design/arcticons/emoji-department-store.svg?color=%23D6AF00&format=svg>)

[Assistant] The Department entity is pv:Department. To get its name, I'll check which properties are available for pv:Department, focusing on label/name.

[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

[Assistant]
The property for the department name is rdfs:label.

Now, let's check what the manager entity looks like (the direct report), so we can get their name as well. I'll check the range of pv:hasManager, which was described as "has range Manager." Let's search for the "Manager" entity.

[Tool]
Top 10 entity alternatives:
1. Manager (pv:Manager): An employee with some direct reports and management duties., is subclass of Employee
2. has manager (pv:hasManager): The manager of the employee., has domain Employee, has range Manager
3. manager svg?color=#D6AF00&format=svg (<https://api.iconify.design/hugeicons/manager.svg?color=%23D6AF00&format=svg>)
4. has product manager (pv:hasProductManager): The employee acting as the product manager of the product., has range Employee, has domain Product

[Assistant]
The Manager entity is pv:Manager, which is a subclass of Employee. Therefore, we can use the same properties (rdfs:label, foaf:name, pv:name) to get the manager's name.

Now, I will construct a SPARQL query that:
- Selects all instances of pv:Employee.
- Retrieves their name (rdfs:label, foaf:name, pv:name), email (pv:email), phone (pv:phone).
- Retrieves their department (pv:memberOf) and the department's name (rdfs:label).
- Retrieves their direct report/manager (pv:hasManager) and the manager's name (rdfs:label, foaf:name, pv:name).

I'll use OPTIONAL for properties that may not be present for all employees.

Let's build and execute the query.

[Tool]
Got 47 rows and 12 columns, showing the first 5 and last 5 columns and the first 5 and last 5 rows below:
| employee                                                                                | employeeLabel       | employeeName        | employeeFoafName | email                           | ... | departmentLabel    | manager                                                                                | managerLabel      | managerName       | managerFoafName |
| -------------------------------------------------------------------------------------------------------------------- | ------------------- | ------------------- | ---------------- | ------------------------------- | --- | ------------------ | ---------------------------------------------------------------------------------------------------------------- | ----------------- | ----------------- | --------------- |
| empl Adolfina Hoch@company org (<http://ld.company.org/prod-instances/empl-Adolfina.Hoch%40company.org>)             | Adolfina Hoch       | Adolfina Hoch       |                  | Adolfina.Hoch@company.org       | ... | Product Management | empl Franz Kornhaeusel@company org (<http://ld.company.org/prod-instances/empl-Franz.Kornhaeusel%40company.org>) | Franz Kornhaeusel | Franz Kornhaeusel |                 |
| empl Anamchara Foerstner@company org (<http://ld.company.org/prod-instances/empl-Anamchara.Foerstner%40company.org>) | Anamchara Foerstner | Anamchara Foerstner |                  | Anamchara.Foerstner@company.org | ... | Data Services      | empl Elena Herzog@company org (<http://ld.company.org/prod-instances/empl-Elena.Herzog%40company.org>)           | Elena Herzog      | Elena Herzog      |                 |
| empl Arendt Beitel@company org (<http://ld.company.org/prod-instances/empl-Arendt.Beitel%40company.org>)             | Arendt Beitel       | Arendt Beitel       |                  | Arendt.Beitel@company.org       | ... | Product Management | empl Franz Kornhaeusel@company org (<http://ld.company.org/prod-instances/empl-Franz.Kornhaeusel%40company.org>) | Franz Kornhaeusel | Franz Kornhaeusel |                 |
| empl Arnelle Gerber@company org (<http://ld.company.org/prod-instances/empl-Arnelle.Gerber%40company.org>)           | Arnelle Gerber      | Arnelle Gerber      |                  | Arnelle.Gerber@company.org      | ... | Data Services      | empl Elena Herzog@company org (<http://ld.company.org/prod-instances/empl-Elena.Herzog%40company.org>)           | Elena Herzog      | Elena Herzog      |                 |
| empl Baldwin Dirksen@company org (<http://ld.company.org/prod-instances/empl-Baldwin.Dirksen%40company.org>)         | Baldwin Dirksen     | Baldwin Dirksen     |                  | Baldwin.Dirksen@company.org     | ... | Marketing          | empl Dietlinde Boehme@company org (<http://ld.company.org/prod-instances/empl-Dietlinde.Boehme%40company.org>)   | Dietlinde Boehme  | Dietlinde Boehme  |                 |
| ...                                                                                | ...                 | ...                 | ...              | ...                             | ... | ...                | ...                                                                                | ...               | ...               | ...             |
| empl Valda Everhart@company org (<http://ld.company.org/prod-instances/empl-Valda.Everhart%40company.org>)           | Valda Everhart      | Valda Everhart      |                  | Valda.Everhart@company.org      | ... | Marketing          | empl Dietlinde Boehme@company org (<http://ld.company.org/prod-instances/empl-Dietlinde.Boehme%40company.org>)   | Dietlinde Boehme  | Dietlinde Boehme  |                 |
| empl Wanja Hoffmann@company org (<http://ld.company.org/prod-instances/empl-Wanja.Hoffmann%40company.org>)           | Wanja Hoffmann      | Wanja Hoffmann      |                  | Wanja.Hoffmann@company.org      | ... | Product Management | empl Franz Kornhaeusel@company org (<http://ld.company.org/prod-instances/empl-Franz.Kornhaeusel%40company.org>) | Franz Kornhaeusel | Franz Kornhaeusel |                 |
| empl Wolfgang Martin@company org (<http://ld.company.org/prod-instances/empl-Wolfgang.Martin%40company.org>)         | Wolfgang Martin     | Wolfgang Martin     |                  | Wolfgang.Martin@company.org     | ... | Data Services      | empl Elena Herzog@company org (<http://ld.company.org/prod-instances/empl-Elena.Herzog%40company.org>)           | Elena Herzog      | Elena Herzog      |                 |
| empl Xochitl Aue@company org (<http://ld.company.org/prod-instances/empl-Xochitl.Aue%40company.org>)                 | Xochitl Aue         | Xochitl Aue         |                  | Xochitl.Aue@company.org         | ... | Product Management | empl Franz Kornhaeusel@company org (<http://ld.company.org/prod-instances/empl-Franz.Kornhaeusel%40company.org>) | Franz Kornhaeusel | Franz Kornhaeusel |                 |
| empl Yanka Schreiber@company org (<http://ld.company.org/prod-instances/empl-Yanka.Schreiber%40company.org>)         | Yanka Schreiber     | Yanka Schreiber     |                  | Yanka.Schreiber@company.org     | ... | Marketing          | empl Dietlinde Boehme@company org (<http://ld.company.org/prod-instances/empl-Dietlinde.Boehme%40company.org>)   | Dietlinde Boehme  | Dietlinde Boehme  |                 |

[Tool] Stopped generation process


PREFIX pv: <http://ld.company.org/prod-vocab/>
PREFIX dbpedia: <http://dbpedia.org/resource/>
SELECT DISTINCT ?service WHERE {
  ?service a pv:Service ; pv:eligibleFor ?product .
  ?bom pv:hasBomPart ?bomPart .
  ?bomPart pv:hasPart ?product .
  ?product pv:hasSupplier ?supplier .
  ?supplier pv:country dbpedia:Russia .
}

Yes, there are services that apply to a BOM where parts are sourced from Russia. The following services meet these criteria: prodi:srv-D215-3449390, prodi:srv-N558-1730215, prodi:srv-O662-4012383, prodi:srv-P516-8211068, prodi:srv-P925-8919074, prodi:srv-U360-2815908, prodi:srv-Y274-1029755, and prodi:srv-Y704-9764759.

Do we have any service that does apply to a BOM where parts are sourced from Russia?

[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] Do we have any service that does apply to a BOM where parts are sourced from Russia?

[Assistant]
Let's break down the question:

- We are looking for a "service" that "applies to" a "BOM" (Bill of Materials).
- The BOM must have "parts" that are "sourced from Russia".

Step 1: Identify entities and properties.
- "service" is likely an entity type.
- "applies to" is a property relating a service to a BOM.
- "BOM" is likely an entity type.
- "parts" are components of a BOM.
- "sourced from" is a property relating a part to a country (Russia).

Step 2: Search for relevant entities and properties.

First, let's search for "service" as an entity.

[Tool]
Top 10 entity alternatives:
1. Service (pv:Service): Some value added service realized based on other product(s)., is subclass of Product
2. account service outline svg?color=#D6AF00&format=svg (<https://api.iconify.design/mdi/account-service-outline.svg?color=%23D6AF00&format=svg>)

[Assistant]
The entity "Service" exists as pv:Service in the knowledge graph.

Next, let's search for "BOM" (Bill of Materials) as an entity.

[Tool]
Top 10 entity alternatives:
1. BOM Part (pv:BomPart): A (number of) part(s) in a BOM.
2. bom 4 (prodi:bom-4): is a Bill of Material (BOM)
3. bom 19 (prodi:bom-19): is a Bill of Material (BOM)
4. bom 12 (prodi:bom-12): is a Bill of Material (BOM)
5. bom 2 (prodi:bom-2): is a Bill of Material (BOM)
6. bom 11 (prodi:bom-11): is a Bill of Material (BOM)
7. bom 18 (prodi:bom-18): is a Bill of Material (BOM)
8. bom 6 (prodi:bom-6): is a Bill of Material (BOM)
9. bom 15 (prodi:bom-15): is a Bill of Material (BOM)
10. bom 5 (prodi:bom-5): is a Bill of Material (BOM)

[Assistant]
There are entities for BOMs (e.g., prodi:bom-4, prodi:bom-19, etc.) and a class "BOM Part" (pv:BomPart).

Now, let's search for properties that relate a "Service" to a "BOM" (i.e., "applies to" or similar).

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

No other items found

[Assistant] There is no direct property named "applies to" for pv:Service. Let's try searching for properties relating "Service" to "BOM" using a broader query like "BOM" or "bill of material".

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

No other items found

[Assistant] No direct property links "Service" to "BOM" on the Service entity. Let's try the reverse: search for properties on BOM entities that might link to Service, using "service" as the query.

[Tool]
Top 10 property alternatives:
1. name (pv:name): The name of something.
2. label (rdfs:label)
3. type (rdf:type)
4. has BOM Part (pv:hasBomPart): has domain Bill of Material (BOM), A part(s) used in this BOM., has range BOM Part

No other items found

[Assistant]
There is no direct property linking BOMs to Services either. However, there is a property "pv:hasBomPart" that links a BOM to its parts.

Let's now focus on the "parts are sourced from Russia" part of the question. We need to find properties on "BOM Part" or similar entities that indicate sourcing or origin. Let's search for properties of "pv:BomPart" with the query "source".

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

No other items found

[Assistant] No property with "source" in the name is directly associated with pv:BomPart. Let's try searching for properties with "country" as the query, as "sourced from Russia" may be represented as a country of origin.

[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] No property with "country" is found on pv:BomPart either. Let's try a broader search for properties with "origin" as the query, as this is another common way to represent sourcing.

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

No other items found

[Assistant] There is no direct property for "origin" either. Since we are not finding sourcing information on the BOM Part class, let's try searching for properties with "source" at the global property level, to see if any property in the KG relates to sourcing or origin.

[Tool]
Top 10 property alternatives:
1. member of (pv:memberOf): The department to which an agents belongs., has range Department, has domain Agent
2. country (pv:country): The country where the supplier is located., has domain Supplier, has range Country
3. contributor (dct:contributor)
4. quantity (pv:quantity): The quantity needed., has domain BOM Part
5. part (pv:hasPart): has domain BOM Part, The Product needed., has range Product
6. eligible for (pv:eligibleFor): Valid product service combinations (bundles, accessories)., has domain Service, has range Product
7. amount (pv:amount): has domain Price, The amount.
8. created (dct:created)
9. name (foaf:name):

10. name (pv:name): The name of something.

[Assistant]
The property pv:country is described as "The country where the supplier is located" and has domain Supplier and range Country. This suggests that the supplier of a part may have a country property.

Let's check if BOM Parts are linked to Suppliers, and if so, what property is used for that. I'll search for properties of pv:BomPart with the query "supplier".

[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

[Assistant] No direct property for "supplier" on BOM Part. Let's check if BOM Parts are linked to Products, and if Products are linked to Suppliers. I'll search for properties of pv:BomPart with the query "product".

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

No other items found

[Assistant] No direct property for "product" on BOM Part either. Let's try searching for properties of BOM Part with the query "part", as sometimes the part itself is a product.

[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]
The only properties found are generic ones (type, label, comment, etc.). However, from an earlier search, I noticed the property pv:hasPart with the description "The Product needed." and domain BOM Part, range Product.

Let's check if BOM Parts are linked to Products via pv:hasPart, and then if Products are linked to Suppliers, and Suppliers to Countries.

I'll search for properties of Product with the query "supplier".

[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

[Assistant] No direct property for "supplier" on Product either. Let's try searching for properties of Product with the query "country".

[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] No direct property for "country" on Product. Let's try searching for the entity "Supplier" to see if it exists and what properties it has.

[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]
There is a Supplier class (pv:Supplier) and a property pv:hasSupplier ("The supplier of a product", domain Product, range Supplier).

So, the likely chain is:
- BOM --pv:hasBomPart--> BOM Part --pv:hasPart--> Product --pv:hasSupplier--> Supplier --pv:country--> Country (e.g., Russia)

Now, let's check if there is a property that links Service to BOM, or if there is an indirect way (e.g., Service eligible for Product, and Product is in BOM).

From an earlier property search, I found pv:eligibleFor ("Valid product service combinations", domain Service, range Product).

So, a Service is eligible for a Product, and a Product can be part of a BOM.

Therefore, to answer the question, we need to find:
- A Service (pv:Service)
- That is eligible for a Product (pv:eligibleFor)
- That is a part of a BOM (via BOM Part and pv:hasPart)
- Where the Product's Supplier is in Russia (pv:hasSupplier/pv:country)

Let's search for the entity for Russia.

[Tool]
Top 10 entity alternatives:
1. Russia (dbpedia:Russia)

[Assistant]
The entity for Russia is dbpedia:Russia.

Now, let's construct a SPARQL query that finds any Service that is eligible for a Product, where that Product is a part of a BOM, and the Product's Supplier is located in Russia.

Here's the plan:
- Find all Services (?service) with pv:eligibleFor ?product.
- Find all BOMs (?bom) with pv:hasBomPart ?bomPart.
- Each ?bomPart has pv:hasPart ?product.
- Each ?product has pv:hasSupplier ?supplier.
- Each ?supplier has pv:country dbpedia:Russia.

Let's write and execute this query.

[Tool]
Got 8 rows and 1 column:
| service                                   |
| ----------------------------------------- |
| srv D215 3449390 (prodi:srv-D215-3449390) |
| srv N558 1730215 (prodi:srv-N558-1730215) |
| srv O662 4012383 (prodi:srv-O662-4012383) |
| srv P516 8211068 (prodi:srv-P516-8211068) |
| srv P925 8919074 (prodi:srv-P925-8919074) |
| srv U360 2815908 (prodi:srv-U360-2815908) |
| srv Y274 1029755 (prodi:srv-Y274-1029755) |
| srv Y704 9764759 (prodi:srv-Y704-9764759) |

[Tool] Stopped generation process