PREFIX rdf: <http://www.w3.org/1999/02/22-rdf-syntax-ns#>
PREFIX wgs84: <http://www.w3.org/2003/01/geo/wgs84_pos#>
PREFIX pv: <http://ld.company.org/prod-vocab/>
SELECT ?supplier ?name ?addressCountry ?addressCountryCode ?addressLocality ?lat ?long ?country WHERE {
  ?supplier rdf:type pv:Supplier .
  OPTIONAL {
    ?supplier pv:name ?name
  }
  .
  OPTIONAL {
    ?supplier pv:addressCountry ?addressCountry
  }
  .
  OPTIONAL {
    ?supplier pv:addressCountryCode ?addressCountryCode
  }
  .
  OPTIONAL {
    ?supplier pv:addressLocality ?addressLocality
  }
  .
  OPTIONAL {
    ?supplier wgs84:lat ?lat
  }
  .
  OPTIONAL {
    ?supplier wgs84:long ?long
  }
  .
  OPTIONAL {
    ?supplier pv:country ?country
  }
  .
}

The SPARQL query retrieves every supplier's name and all available address details including country, country code, locality, latitude, longitude, and linked country entity.

I need to update my supplier rolodex, give me every supplier's name and all address details.

[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 need to update my supplier rolodex, give me every supplier's name and all address details.

[Assistant] To fulfill your request, I will first identify the entity representing suppliers in the knowledge graph. Then, I will find the properties related to supplier names and address details. After that, I will construct a SPARQL query to retrieve every supplier's name along with all their address details. I will start by searching for the entity "supplier" 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 an entity "Supplier" with the IRI prefix pv:Supplier that represents the supplier of some items. Next, I will search for properties related to the Supplier entity to find the properties for the supplier's name and address details.

[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 rdfs:label seems to be used for the name of the supplier. Now I will search for properties related to address details for the Supplier entity.

[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

[Assistant] There are no direct properties related to address details for the Supplier entity. I will now check if there are any related entities or properties that might represent address details linked to the Supplier entity. I will look for triples where the subject is a Supplier to see if there are any linked address entities or literals.

[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] The Supplier entity is a class with no direct properties related to address details. I will now search for instances of the Supplier class to see how suppliers are represented and if they have address details linked.

[Tool]
Got 250 rows and 3 columns, showing the first 10 rows below:
| subject                                                                                | property        | object                 |
| --------------------------------------------------------------------------------------------- | --------------- | ---------------------- |
| suppl 0058fc5e e9e8 46eb ac6d 673e436a5d7a (prodi:suppl-0058fc5e-e9e8-46eb-ac6d-673e436a5d7a) | type (rdf:type) | Supplier (pv:Supplier) |
| suppl 0301f65d 2290 456b a3f7 b2096a632198 (prodi:suppl-0301f65d-2290-456b-a3f7-b2096a632198) | type (rdf:type) | Supplier (pv:Supplier) |
| suppl 034022f5 5327 45c2 aaff 524b1be2fbd5 (prodi:suppl-034022f5-5327-45c2-aaff-524b1be2fbd5) | type (rdf:type) | Supplier (pv:Supplier) |
| suppl 05b5a686 c821 41c4 bc2c b66d35bac1d8 (prodi:suppl-05b5a686-c821-41c4-bc2c-b66d35bac1d8) | type (rdf:type) | Supplier (pv:Supplier) |
| suppl 06034b22 8e1b 435f 902e 88739f77d86a (prodi:suppl-06034b22-8e1b-435f-902e-88739f77d86a) | type (rdf:type) | Supplier (pv:Supplier) |
| suppl 06d152e4 f062 46da b6be 750b192a5a4b (prodi:suppl-06d152e4-f062-46da-b6be-750b192a5a4b) | type (rdf:type) | Supplier (pv:Supplier) |
| suppl 07335cfb 9bbc 4be5 b546 bdd8af104e7e (prodi:suppl-07335cfb-9bbc-4be5-b546-bdd8af104e7e) | type (rdf:type) | Supplier (pv:Supplier) |
| suppl 0817f6f5 8011 4c46 aeab ba89def6df14 (prodi:suppl-0817f6f5-8011-4c46-aeab-ba89def6df14) | type (rdf:type) | Supplier (pv:Supplier) |
| suppl 092bb1b2 b39f 4521 9c21 c853db9d9a09 (prodi:suppl-092bb1b2-b39f-4521-9c21-c853db9d9a09) | type (rdf:type) | Supplier (pv:Supplier) |
| suppl 0c327a40 c6d8 44da ba2d e84f924c5208 (prodi:suppl-0c327a40-c6d8-44da-ba2d-e84f924c5208) | type (rdf:type) | Supplier (pv:Supplier) |
| ...                                                                                | ...             | ...                    |

[Assistant] There are many instances of the Supplier class. I will now check the properties of one supplier instance to find the properties used for the supplier's name and address details. I will look at the properties of the first supplier instance "prodi:suppl-0058fc5e-e9e8-46eb-ac6d-673e436a5d7a".

[Tool]
Got 10 rows and 3 columns:
| subject                                                                                | property                                     | object                               |
| --------------------------------------------------------------------------------------------- | -------------------------------------------- | ------------------------------------ |
| suppl 0058fc5e e9e8 46eb ac6d 673e436a5d7a (prodi:suppl-0058fc5e-e9e8-46eb-ac6d-673e436a5d7a) | type (rdf:type)                              | Supplier (pv:Supplier)               |
| suppl 0058fc5e e9e8 46eb ac6d 673e436a5d7a (prodi:suppl-0058fc5e-e9e8-46eb-ac6d-673e436a5d7a) | label (rdfs:label)                           | Allen-Short (South Africa)           |
| suppl 0058fc5e e9e8 46eb ac6d 673e436a5d7a (prodi:suppl-0058fc5e-e9e8-46eb-ac6d-673e436a5d7a) | name (pv:name)                               | Allen-Short                          |
| suppl 0058fc5e e9e8 46eb ac6d 673e436a5d7a (prodi:suppl-0058fc5e-e9e8-46eb-ac6d-673e436a5d7a) | ID (pv:id)                                   | 0058fc5e-e9e8-46eb-ac6d-673e436a5d7a |
| suppl 0058fc5e e9e8 46eb ac6d 673e436a5d7a (prodi:suppl-0058fc5e-e9e8-46eb-ac6d-673e436a5d7a) | address country (pv:addressCountry)          | South Africa                         |
| suppl 0058fc5e e9e8 46eb ac6d 673e436a5d7a (prodi:suppl-0058fc5e-e9e8-46eb-ac6d-673e436a5d7a) | address country code (pv:addressCountryCode) | ZA                                   |
| suppl 0058fc5e e9e8 46eb ac6d 673e436a5d7a (prodi:suppl-0058fc5e-e9e8-46eb-ac6d-673e436a5d7a) | address locality (pv:addressLocality)        | Mondlo                               |
| suppl 0058fc5e e9e8 46eb ac6d 673e436a5d7a (prodi:suppl-0058fc5e-e9e8-46eb-ac6d-673e436a5d7a) | lat (wgs84:lat)                              | -27.958203                           |
| suppl 0058fc5e e9e8 46eb ac6d 673e436a5d7a (prodi:suppl-0058fc5e-e9e8-46eb-ac6d-673e436a5d7a) | long (wgs84:long)                            | 30.7196884                           |
| suppl 0058fc5e e9e8 46eb ac6d 673e436a5d7a (prodi:suppl-0058fc5e-e9e8-46eb-ac6d-673e436a5d7a) | country (pv:country)                         | South Africa (dbpedia:South_Africa)  |

[Assistant]
The supplier instance has the following relevant properties:
- pv:name for the supplier's name
- pv:addressCountry for the country
- pv:addressCountryCode for the country code
- pv:addressLocality for the locality
- wgs84:lat and wgs84:long for latitude and longitude
- pv:country linking to a country entity

I will now construct a SPARQL query to retrieve every supplier's name and all these address details.

[Tool] Stopped generation process

[User]
Feedback (status=done):
The SPARQL query correctly retrieves every supplier's name and all available address details including country, country code, locality, latitude, longitude, and linked country entity. The query uses OPTIONAL clauses appropriately to include all address details if available without excluding suppliers missing some details. The execution result shows a substantial number of rows with relevant data, indicating the query works as intended. The answer is complete and directly addresses the user's request to update the supplier rolodex with all address details.


PREFIX rdfs: <http://www.w3.org/2000/01/rdf-schema#>
PREFIX pv: <http://ld.company.org/prod-vocab/>
SELECT ?manager ?managerName ( COUNT( ?employee ) AS ?totalTeam ) ( COUNT( ?sameDeptEmployee ) AS ?sameDeptCount ) ( ( COUNT( ?sameDeptEmployee ) * 100.0 ) / COUNT( ?employee ) AS ?percentageSameDept ) WHERE {
  ?employee pv:hasManager ?manager .
  ?employee pv:memberOf ?empDept .
  ?manager pv:memberOf ?mgrDept .
  ?manager rdfs:label ?managerName .
  OPTIONAL {
    ?employee pv:memberOf ?mgrDept .
    BIND( ?employee AS ?sameDeptEmployee )
  }
}
GROUP BY ?manager ?managerName
ORDER BY DESC ( ?percentageSameDept )

Got 6 rows and 5 columns:
| manager                                                                                | managerName       | totalTeam    | sameDeptCount | percentageSameDept |
| ---------------------------------------------------------------------------------------------------------------- | ----------------- | ------------ | ------------- | ------------------ |
| empl Dietlinde Boehme@company org (<http://ld.company.org/prod-instances/empl-Dietlinde.Boehme%40company.org>)   | Dietlinde Boehme  | 9 (xsd:int)  | 9 (xsd:int)   | 100 (xsd:decimal)  |
| empl Elena Herzog@company org (<http://ld.company.org/prod-instances/empl-Elena.Herzog%40company.org>)           | Elena Herzog      | 9 (xsd:int)  | 9 (xsd:int)   | 100 (xsd:decimal)  |
| empl Franz Kornhaeusel@company org (<http://ld.company.org/prod-instances/empl-Franz.Kornhaeusel%40company.org>) | Franz Kornhaeusel | 12 (xsd:int) | 12 (xsd:int)  | 100 (xsd:decimal)  |
| empl Reiner Widmann@company org (<http://ld.company.org/prod-instances/empl-Reiner.Widmann%40company.org>)       | Reiner Widmann    | 4 (xsd:int)  | 4 (xsd:int)   | 100 (xsd:decimal)  |
| empl Thomas Mueller@company org (<http://ld.company.org/prod-instances/empl-Thomas.Mueller%40company.org>)       | Thomas Mueller    | 5 (xsd:int)  | 5 (xsd:int)   | 100 (xsd:decimal)  |
| empl Waldtraud Kuttner@company org (<http://ld.company.org/prod-instances/empl-Waldtraud.Kuttner%40company.org>) | Waldtraud Kuttner | 8 (xsd:int)  | 8 (xsd:int)   | 100 (xsd:decimal)  |

For each manager, the percentage of their entire team working in the same department as the manager is 100%. This means all team members work in the same department as their manager.

For each manager, what percentage of their entire team work in the same department as the manager?

[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] For each manager, what percentage of their entire team work in the same department as the manager?

[Assistant]
To answer this question, I need to identify the following information from the knowledge graph:
1. Managers and their teams (employees they manage).
2. The department of each manager.
3. The department of each team member.
4. Calculate the percentage of team members who work in the same department as their manager.

Step 1: Identify how managers and their teams are represented in the knowledge graph. I will search for entities related to "manager" to understand the structure.

[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]
I found an entity "Manager" (pv:Manager) which is a subclass of Employee, and a property "has manager" (pv:hasManager) which relates an employee to their manager. This suggests that employees have a property linking them to their manager.

Next, I will check how departments are represented and linked to employees or managers. I will search for properties related to "department".

[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]
I found a property "member of" (pv:memberOf) which links an agent (likely including employees and managers) to a Department. This seems to be the property that connects employees and managers to their departments.

Next, I will verify the structure of the Manager entity and check if it has a "member of" property linking to a department. I will also check how employees are linked to their managers and departments.

I will start by listing properties of the Manager entity to confirm the department property.

[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]
The Manager entity itself does not have direct properties linking to a department. I will check the Employee entity since Manager is a subclass of Employee, and employees might have the "member of" property linking to departments.

I will search properties of the Employee entity related to department.

[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 are no direct properties related to department for the Employee entity either. I will try to find instances of employees or managers and check their properties to see how the department is linked.

I will list some instances of Manager to see their properties.

[Tool]
Got 6 rows and 3 columns:
| subject              | property                         | object                                                                                |
| -------------------- | -------------------------------- | -------------------------------------------------------------------------------------------------------------------- |
| Manager (pv:Manager) | type (rdf:type)                  | Class (owl:Class)                                                                                |
| Manager (pv:Manager) | label (rdfs:label)               | Manager (en)                                                                                |
| Manager (pv:Manager) | is Defined By (rdfs:isDefinedBy) | pv: Products - Vocab (pv:)                                                                                |
| Manager (pv:Manager) | comment (rdfs:comment)           | An employee with some direct reports and management duties. (en)                                                     |
| Manager (pv:Manager) | depiction (foaf:depiction)       | manager svg?color=#D6AF00&format=svg (<https://api.iconify.design/hugeicons/manager.svg?color=%23D6AF00&format=svg>) |
| Manager (pv:Manager) | sub Class Of (rdfs:subClassOf)   | Employee (pv:Employee)                                                                                |

[Assistant]
There are no instances of Manager listed here, only the class definition. I will try to find instances of employees or managers by searching for entities with the label "manager" or "employee" to get actual individuals.

I will search for entities with the keyword "employee" to find instances.

[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]
No specific instances of employees or managers found by search. I will try to find instances of any entity that is a subclass of Employee or Manager by querying for instances of pv:Employee or pv:Manager.

I will list instances of pv:Employee.

[Tool]
Got 6 rows and 3 columns:
| subject                | property                         | object                                                                                |
| ---------------------- | -------------------------------- | ------------------------------------------------------------------------------------------------------------------------------ |
| Employee (pv:Employee) | type (rdf:type)                  | Class (owl:Class)                                                                                |
| Employee (pv:Employee) | label (rdfs:label)               | Employee (en)                                                                                |
| Employee (pv:Employee) | is Defined By (rdfs:isDefinedBy) | pv: Products - Vocab (pv:)                                                                                |
| Employee (pv:Employee) | comment (rdfs:comment)           | An employee in my company. (en)                                                                                |
| Employee (pv:Employee) | depiction (foaf:depiction)       | employee line svg?color=#D6AF00&format=svg (<https://api.iconify.design/clarity/employee-line.svg?color=%23D6AF00&format=svg>) |
| Employee (pv:Employee) | sub Class Of (rdfs:subClassOf)   | Agent (pv:Agent)                                                                                |

[Assistant]
No instances of employees found either, only the class definition. I will try to find any individual that has a property "has manager" to identify employees and their managers.

I will list triples with the property "has manager" to find employees and their managers.

[Tool]
Got 47 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>)   | has manager (pv:hasManager) | empl Elena Herzog@company org (<http://ld.company.org/prod-instances/empl-Elena.Herzog%40company.org>)           |
| empl Corinna Ludwig@company org (<http://ld.company.org/prod-instances/empl-Corinna.Ludwig%40company.org>)     | has manager (pv:hasManager) | empl Thomas Mueller@company org (<http://ld.company.org/prod-instances/empl-Thomas.Mueller%40company.org>)       |
| empl Franziska Acker@company org (<http://ld.company.org/prod-instances/empl-Franziska.Acker%40company.org>)   | has manager (pv:hasManager) | empl Franz Kornhaeusel@company org (<http://ld.company.org/prod-instances/empl-Franz.Kornhaeusel%40company.org>) |
| 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 Elisabeth Harman@company org (<http://ld.company.org/prod-instances/empl-Elisabeth.Harman%40company.org>) | has manager (pv:hasManager) | empl Waldtraud Kuttner@company org (<http://ld.company.org/prod-instances/empl-Waldtraud.Kuttner%40company.org>) |
| empl Baldwin Guenther@company org (<http://ld.company.org/prod-instances/empl-Baldwin.Guenther%40company.org>) | has manager (pv:hasManager) | empl Reiner Widmann@company org (<http://ld.company.org/prod-instances/empl-Reiner.Widmann%40company.org>)       |
| empl Gretel Roth@company org (<http://ld.company.org/prod-instances/empl-Gretel.Roth%40company.org>)           | has manager (pv:hasManager) | empl Elena Herzog@company org (<http://ld.company.org/prod-instances/empl-Elena.Herzog%40company.org>)           |
| empl Herr Haan Bader@company org (<http://ld.company.org/prod-instances/empl-Herr.Haan.Bader%40company.org>)   | has manager (pv:hasManager) | empl Thomas Mueller@company org (<http://ld.company.org/prod-instances/empl-Thomas.Mueller%40company.org>)       |
| empl Karch Moeller@company org (<http://ld.company.org/prod-instances/empl-Karch.Moeller%40company.org>)       | has manager (pv:hasManager) | empl Thomas Mueller@company org (<http://ld.company.org/prod-instances/empl-Thomas.Mueller%40company.org>)       |
| empl Karen Brant@company org (<http://ld.company.org/prod-instances/empl-Karen.Brant%40company.org>)           | has manager (pv:hasManager) | empl Thomas Mueller@company org (<http://ld.company.org/prod-instances/empl-Thomas.Mueller%40company.org>)       |
| ...                                                                                | ...                         | ...                                                                                |

[Assistant]
I found employees with their managers using the property "has manager" (pv:hasManager). Now I need to find the departments of these employees and their managers.

I will check the properties of one employee instance to find the department property. I will pick one employee from the list and list its properties.

[Tool]
Got 10 rows and 3 columns:
| subject                                                                                | property                               | object                                                                                |
| ------------------------------------------------------------------------------------------------------------ | -------------------------------------- | ------------------------------------------------------------------------------------------------------ |
| empl Wolfgang Martin@company org (<http://ld.company.org/prod-instances/empl-Wolfgang.Martin%40company.org>) | type (rdf:type)                        | Employee (pv:Employee)                                                                                |
| empl Wolfgang Martin@company org (<http://ld.company.org/prod-instances/empl-Wolfgang.Martin%40company.org>) | label (rdfs:label)                     | Wolfgang Martin                                                                                |
| empl Wolfgang Martin@company org (<http://ld.company.org/prod-instances/empl-Wolfgang.Martin%40company.org>) | name (pv:name)                         | Wolfgang Martin                                                                                |
| empl Wolfgang Martin@company org (<http://ld.company.org/prod-instances/empl-Wolfgang.Martin%40company.org>) | area of expertise (pv:areaOfExpertise) | prod cat Crystal (prodi:prod-cat-Crystal)                                                              |
| empl Wolfgang Martin@company org (<http://ld.company.org/prod-instances/empl-Wolfgang.Martin%40company.org>) | email (pv:email)                       | Wolfgang.Martin@company.org                                                                            |
| 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 Wolfgang Martin@company org (<http://ld.company.org/prod-instances/empl-Wolfgang.Martin%40company.org>) | has manager (pv:hasManager)            | empl Elena Herzog@company org (<http://ld.company.org/prod-instances/empl-Elena.Herzog%40company.org>) |
| empl Wolfgang Martin@company org (<http://ld.company.org/prod-instances/empl-Wolfgang.Martin%40company.org>) | phone number (pv:phone)                | +49-701-5973041                                                                                |
| empl Wolfgang Martin@company org (<http://ld.company.org/prod-instances/empl-Wolfgang.Martin%40company.org>) | area of expertise (pv:areaOfExpertise) | prod cat Network (prodi:prod-cat-Network)                                                              |
| empl Wolfgang Martin@company org (<http://ld.company.org/prod-instances/empl-Wolfgang.Martin%40company.org>) | area of expertise (pv:areaOfExpertise) | prod cat Meter (prodi:prod-cat-Meter)                                                                  |

[Assistant]
The employee "Wolfgang Martin" has a property "member of" (pv:memberOf) linking to a department (dept 41622). This confirms that employees have a department property.

Now I will check the properties of the manager "Elena Herzog" to confirm the department property for managers.

[Tool]
Got 7 rows and 3 columns:
| subject                                                                                | property                      | object                        |
| ------------------------------------------------------------------------------------------------------ | ----------------------------- | ----------------------------- |
| empl Elena Herzog@company org (<http://ld.company.org/prod-instances/empl-Elena.Herzog%40company.org>) | type (rdf:type)               | Manager (pv:Manager)          |
| empl Elena Herzog@company org (<http://ld.company.org/prod-instances/empl-Elena.Herzog%40company.org>) | label (rdfs:label)            | Elena Herzog                  |
| empl Elena Herzog@company org (<http://ld.company.org/prod-instances/empl-Elena.Herzog%40company.org>) | name (pv:name)                | Elena Herzog                  |
| empl Elena Herzog@company org (<http://ld.company.org/prod-instances/empl-Elena.Herzog%40company.org>) | email (pv:email)              | Elena.Herzog@company.org      |
| 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 Elena Herzog@company org (<http://ld.company.org/prod-instances/empl-Elena.Herzog%40company.org>) | phone number (pv:phone)       | +49-7608-83268331             |
| empl Elena Herzog@company org (<http://ld.company.org/prod-instances/empl-Elena.Herzog%40company.org>) | address text (pv:addressText) | Kirchgasse 806, 76088 Kamen   |

[Assistant]
The manager "Elena Herzog" also has the property "member of" (pv:memberOf) linking to a department (dept 41622).

Now I have the necessary information to calculate the percentage of team members working in the same department as their manager:
- Employees linked to their managers via pv:hasManager.
- Both employees and managers linked to departments via pv:memberOf.

I will write a SPARQL query to:
1. Get each manager.
2. Get all employees who have that manager.
3. Count total employees for each manager.
4. Count employees who share the same department as the manager.
5. Calculate the percentage.

I will proceed to write and execute this query.

[Tool]
Got 6 rows and 5 columns:
| manager                                                                                | managerName       | totalTeam    | sameDeptCount | percentageSameDept |
| ---------------------------------------------------------------------------------------------------------------- | ----------------- | ------------ | ------------- | ------------------ |
| empl Dietlinde Boehme@company org (<http://ld.company.org/prod-instances/empl-Dietlinde.Boehme%40company.org>)   | Dietlinde Boehme  | 9 (xsd:int)  | 9 (xsd:int)   | 100 (xsd:decimal)  |
| empl Elena Herzog@company org (<http://ld.company.org/prod-instances/empl-Elena.Herzog%40company.org>)           | Elena Herzog      | 9 (xsd:int)  | 9 (xsd:int)   | 100 (xsd:decimal)  |
| empl Franz Kornhaeusel@company org (<http://ld.company.org/prod-instances/empl-Franz.Kornhaeusel%40company.org>) | Franz Kornhaeusel | 12 (xsd:int) | 12 (xsd:int)  | 100 (xsd:decimal)  |
| empl Reiner Widmann@company org (<http://ld.company.org/prod-instances/empl-Reiner.Widmann%40company.org>)       | Reiner Widmann    | 4 (xsd:int)  | 4 (xsd:int)   | 100 (xsd:decimal)  |
| empl Thomas Mueller@company org (<http://ld.company.org/prod-instances/empl-Thomas.Mueller%40company.org>)       | Thomas Mueller    | 5 (xsd:int)  | 5 (xsd:int)   | 100 (xsd:decimal)  |
| empl Waldtraud Kuttner@company org (<http://ld.company.org/prod-instances/empl-Waldtraud.Kuttner%40company.org>) | Waldtraud Kuttner | 8 (xsd:int)  | 8 (xsd:int)   | 100 (xsd:decimal)  |

[Tool] Stopped generation process

[User]
Feedback (status=done):
The SPARQL query correctly calculates the percentage of each manager's team members who work in the same department as the manager. It groups by manager and counts total team members and those in the same department, then computes the percentage. The execution results show that for all managers, 100% of their team members work in the same department, which matches the provided answer. The query uses appropriate properties and returns the expected results. No further refinement is needed.


PREFIX rdfs: <http://www.w3.org/2000/01/rdf-schema#>
PREFIX pv: <http://ld.company.org/prod-vocab/>
PREFIX prodi: <http://ld.company.org/prod-instances/>
SELECT DISTINCT ?manager ?managerLabel WHERE {
  ?employee pv:hasManager ?manager .
  ?employee pv:memberOf prodi:dept-41622 .
  OPTIONAL {
    ?manager rdfs:label ?managerLabel
  }
}

The manager of the Data Services department is Elena Herzog.

Who is the manager of the Data Services 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] Who is the manager of the Data Services department?

[Assistant]
To answer the question "Who is the manager of the Data Services department?", I need to identify the entity representing the "Data Services" department and then find the property that links this department to its manager.

Step 1: Search for the entity "Data Services" in the knowledge graph.

[Tool]
Top 10 entity alternatives:
1. Dataset (void:Dataset)
2. Datatype Property (owl:DatatypeProperty)

[Assistant] The search for "Data Services" did not return a direct match for a department entity. I will try a more general search for "department" to see if there are any department entities in the knowledge graph. Then I can check if any of them relate to "Data Services."

[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] There is an entity "Department" (pv:Department) which likely represents departments in an organization. I will now search for instances of this entity to see if "Data Services" is one of them.

[Tool]
Got 5 rows and 3 columns:
| subject                    | property                         | object                                                                                |
| -------------------------- | -------------------------------- | -------------------------------------------------------------------------------------------------------------------------------------------------- |
| Department (pv:Department) | type (rdf:type)                  | Class (owl:Class)                                                                                |
| Department (pv:Department) | label (rdfs:label)               | Department (en)                                                                                |
| Department (pv:Department) | is Defined By (rdfs:isDefinedBy) | pv: Products - Vocab (pv:)                                                                                |
| Department (pv:Department) | comment (rdfs:comment)           | A department in an organization. (en)                                                                                |
| Department (pv:Department) | depiction (foaf:depiction)       | emoji department store svg?color=#D6AF00&format=svg (<https://api.iconify.design/arcticons/emoji-department-store.svg?color=%23D6AF00&format=svg>) |

[Assistant] The entity pv:Department is a class representing a department in an organization, but I did not get instances of departments. I will now try to find instances of pv:Department by querying for subjects of type pv:Department.

[Tool]
Got 6 rows and 2 columns:
| department                    | label              |
| ----------------------------- | ------------------ |
| dept 22183 (prodi:dept-22183) | Product Management |
| dept 41622 (prodi:dept-41622) | Data Services      |
| dept 66469 (prodi:dept-66469) | Production         |
| dept 73191 (prodi:dept-73191) | Engineering        |
| dept 84279 (prodi:dept-84279) | Procurement        |
| dept 85880 (prodi:dept-85880) | Marketing          |

[Assistant] I found an instance of a department with the label "Data Services" identified as prodi:dept-41622. Next, I will search for properties related to this department to find a property that might indicate the manager.

[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. name (pv:name): The name of something.
3. label (rdfs:label)
4. ID (pv:id): The ID of a thing.
5. type (rdf:type)

No other items found

[Assistant] There is no direct property with the name "manager" for the Data Services department. I will try searching for properties related to "head" or "lead" as alternative terms for a manager.

[Tool]
Top 10 property alternatives:
1. type (rdf:type)
2. name (pv:name): The name of something.
3. ID (pv:id): The ID of a thing.
4. label (rdfs:label)
5. responsible for (pv:responsibleFor): The product for which a department is responsible., has domain Department, has range Product

No other items found

[Tool]
Top 10 property alternatives:
1. label (rdfs:label)
2. ID (pv:id): The ID of a thing.
3. type (rdf:type)
4. name (pv:name): The name of something.
5. responsible for (pv:responsibleFor): The product for which a department is responsible., has domain Department, has range Product

No other items found

[Assistant] There is no direct property indicating the manager, head, or lead of the Data Services department. I will now try to find any triples where the object is the Data Services department to see if there is a property linking a person to this department as a manager.

[Tool]
Got 10 rows and 3 columns:
| 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 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 Anamchara Foerstner@company org (<http://ld.company.org/prod-instances/empl-Anamchara.Foerstner%40company.org>) | member of (pv:memberOf) | dept 41622 (prodi:dept-41622) |
| empl Nadia Schubert@company org (<http://ld.company.org/prod-instances/empl-Nadia.Schubert%40company.org>)           | member of (pv:memberOf) | dept 41622 (prodi:dept-41622) |
| empl Arnelle Gerber@company org (<http://ld.company.org/prod-instances/empl-Arnelle.Gerber%40company.org>)           | member of (pv:memberOf) | dept 41622 (prodi:dept-41622) |
| empl Ratt Hartmann@company org (<http://ld.company.org/prod-instances/empl-Ratt.Hartmann%40company.org>)             | member of (pv:memberOf) | dept 41622 (prodi:dept-41622) |
| empl Siglind Brinkerhoff@company org (<http://ld.company.org/prod-instances/empl-Siglind.Brinkerhoff%40company.org>) | member of (pv:memberOf) | dept 41622 (prodi:dept-41622) |
| empl Rebecca Hall@company org (<http://ld.company.org/prod-instances/empl-Rebecca.Hall%40company.org>)               | member of (pv:memberOf) | dept 41622 (prodi:dept-41622) |
| empl Sylvester Brant@company org (<http://ld.company.org/prod-instances/empl-Sylvester.Brant%40company.org>)         | member of (pv:memberOf) | dept 41622 (prodi:dept-41622) |

[Assistant] I found several employees who are members of the Data Services department, but none of these triples indicate who the manager is. I will now try to find properties of these employees that might indicate a managerial role. I will start with one employee, for example, "empl Wolfgang Martin@company org".

[Tool] Constraint "prodi:empl-Wolfgang.Martin@company.org" for subject position is not a valid IRI. IRIs can be given in prefixed form, like "wd:Q937", as URIs, like "http://www.wikidata.org/entity/Q937", or in full form, like "<http://www.wikidata.org/entity/Q937>".

[Assistant] The entity I used for the employee was not in a valid IRI format. I will use the full IRI form for the employee "Wolfgang Martin" and then search for properties related to "manager" or "role".

[Tool]
No property items found

No other items found

[Tool]
No property items found

No other items found

[Assistant] There are no properties related to "manager" or "role" for the employee Wolfgang Martin. I will try to find all properties of this employee to see if any property might indicate a managerial role.

[Tool] Got no rows and 3 columns

[Assistant] There are no triples for the employee Wolfgang Martin, which is unexpected. I will try another employee from the Data Services department to see if there are any properties for them. I will try "empl Gretel Roth@company org".

[Tool] Got no rows and 3 columns

[Assistant] There are no triples for the employee Gretel Roth either. It seems that employee details might not be fully represented in the knowledge graph or the IRIs might be different. I will try to find properties related to "manager" or "head" for the department class itself to see if there is a general property for managers of departments.

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

No other items found

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

No other items found

[Assistant] There is no property related to "manager" or "head" for the Department class. Given the data available, it seems the knowledge graph does not explicitly state who the manager of the Data Services department is. I will provide this as the answer.

[Tool] Stopped generation process

[User]
Feedback (status=refine):
The SPARQL query retrieves a member of the Data Services department but does not specifically identify the manager. The property 'pv:memberOf' only indicates membership, not managerial role. To correctly answer the question, the query should look for a property that explicitly indicates a managerial role or position within the department, such as 'managerOf' or a similar property if available in the knowledge graph. Without this, the answer that the manager is not stated is not fully justified because the query does not attempt to find a manager explicitly. I suggest refining the query to search for a manager role or position related to the Data Services department.

[Assistant]
Thank you for the feedback. I understand that the previous query only retrieved members of the Data Services department and did not explicitly look for a manager. I will refine the approach to search for properties that explicitly indicate a managerial role or position related to the Data Services department.

Step 1: Search for properties in the knowledge graph that might indicate a managerial role or position, such as "managerOf", "manages", "hasManager", or similar.

[Tool]
Top 10 property alternatives:
1. has manager (pv:hasManager): The manager of the employee., has domain Employee, has range Manager
2. has product manager (pv:hasProductManager): The employee acting as the product manager of the product., has range Employee, has domain Product
3. responsible for (pv:responsibleFor): The product for which a department is responsible., has domain Department, has range Product
4. contributor (dct:contributor)
5. supplier (pv:hasSupplier): The supplier of a product., has domain Product, has range Supplier
6. publisher (dct:publisher)
7. name (foaf:name):

8. name (pv:name): The name of something.
9. member of (pv:memberOf): The department to which an agents belongs., has range Department, has domain Agent
10. creator (dct:creator)

[Assistant]
I found a property "has manager" (pv:hasManager) which has domain Employee and range Manager. This property might be used to indicate the manager of an employee, but it does not directly indicate the manager of a department.

I will now check if there is a property that links a department to its manager by searching for properties related to "manager" with domain Department.

[Tool]
Top 10 property alternatives:
1. has manager (pv:hasManager): The manager of the employee., has domain Employee, has range Manager
2. has product manager (pv:hasProductManager): The employee acting as the product manager of the product., has range Employee, has domain Product
3. responsible for (pv:responsibleFor): The product for which a department is responsible., has domain Department, has range Product
4. label (rdfs:label)
5. supplier (pv:hasSupplier): The supplier of a product., has domain Product, has range Supplier
6. area of expertise (pv:areaOfExpertise): The product category agent is expert for., has range Product Category, has domain Agent
7. has category (pv:hasCategory): The category name of a product., has range Product Category, has domain Product
8. contributor (dct:contributor)
9. publisher (dct:publisher)
10. quantity (pv:quantity): The quantity needed., has domain BOM Part

[Assistant] There is no direct property linking a department to its manager. The property "has manager" relates to employees, not departments. I will now try to find employees who have the "has manager" property and check if any of them are members of the Data Services department. This might help identify the manager indirectly.

[Tool]
Got 9 rows and 2 columns:
| employee                                                                                | manager                                                                                |
| -------------------------------------------------------------------------------------------------------------------- | ------------------------------------------------------------------------------------------------------ |
| empl Anamchara Foerstner@company org (<http://ld.company.org/prod-instances/empl-Anamchara.Foerstner%40company.org>) | empl Elena Herzog@company org (<http://ld.company.org/prod-instances/empl-Elena.Herzog%40company.org>) |
| empl Arnelle Gerber@company org (<http://ld.company.org/prod-instances/empl-Arnelle.Gerber%40company.org>)           | empl Elena Herzog@company org (<http://ld.company.org/prod-instances/empl-Elena.Herzog%40company.org>) |
| empl Gretel Roth@company org (<http://ld.company.org/prod-instances/empl-Gretel.Roth%40company.org>)                 | empl Elena Herzog@company org (<http://ld.company.org/prod-instances/empl-Elena.Herzog%40company.org>) |
| empl Nadia Schubert@company org (<http://ld.company.org/prod-instances/empl-Nadia.Schubert%40company.org>)           | empl Elena Herzog@company org (<http://ld.company.org/prod-instances/empl-Elena.Herzog%40company.org>) |
| empl Ratt Hartmann@company org (<http://ld.company.org/prod-instances/empl-Ratt.Hartmann%40company.org>)             | empl Elena Herzog@company org (<http://ld.company.org/prod-instances/empl-Elena.Herzog%40company.org>) |
| empl Rebecca Hall@company org (<http://ld.company.org/prod-instances/empl-Rebecca.Hall%40company.org>)               | empl Elena Herzog@company org (<http://ld.company.org/prod-instances/empl-Elena.Herzog%40company.org>) |
| empl Siglind Brinkerhoff@company org (<http://ld.company.org/prod-instances/empl-Siglind.Brinkerhoff%40company.org>) | empl Elena Herzog@company org (<http://ld.company.org/prod-instances/empl-Elena.Herzog%40company.org>) |
| empl Sylvester Brant@company org (<http://ld.company.org/prod-instances/empl-Sylvester.Brant%40company.org>)         | empl Elena Herzog@company org (<http://ld.company.org/prod-instances/empl-Elena.Herzog%40company.org>) |
| empl Wolfgang Martin@company org (<http://ld.company.org/prod-instances/empl-Wolfgang.Martin%40company.org>)         | empl Elena Herzog@company org (<http://ld.company.org/prod-instances/empl-Elena.Herzog%40company.org>) |

[Assistant]
The query results show that many employees in the Data Services department have "Elena Herzog" as their manager. This suggests that Elena Herzog is the manager of the Data Services department.

I will now finalize the answer with this information.

[Tool] Stopped generation process

[User]
Feedback (status=done):
The SPARQL query correctly identifies the manager of the Data Services department by finding employees who are members of the department and retrieving their manager. The query returns the manager's IRI and label, and the execution result confirms that Elena Herzog is the manager. The answer is accurate and complete based on the query results.


PREFIX prodi: <http://ld.company.org/prod-instances/>
PREFIX pv: <http://ld.company.org/prod-vocab/>
PREFIX rdf: <http://www.w3.org/1999/02/22-rdf-syntax-ns#>
PREFIX rdfs: <http://www.w3.org/2000/01/rdf-schema#>
PREFIX dbpedia: <http://dbpedia.org/resource/>
SELECT DISTINCT ?supplier ?supplierLabel WHERE {
  ?supplier pv:country dbpedia:France .
  ?product pv:hasSupplier ?supplier .
  {
    ?product rdf:type prodi:prod-cat-Compensator .
  } UNION {
    ?product rdfs:label ?label .
    FILTER ( CONTAINS( LCASE( ?label ) , "compensator" ) )
  }
  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]
To answer the question "Which supplier in France delivers Compensators?", I need to identify the following entities and properties in the knowledge graph:
1. Entity or class representing "Supplier"
2. Entity or class representing "Compensators"
3. Property or relation indicating the delivery or supply relationship between suppliers and products
4. Property or relation indicating the location or country of the supplier, specifically France

Step 1: Search for the entity "Supplier" 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]
The entity "Supplier" exists as pv:Supplier. Also, there is a property pv:hasSupplier which relates a product to its supplier.

Step 2: Search for the entity "Compensators" in the knowledge graph.

[Tool] No entity items found

[Assistant] There is no direct entity named "Compensators" found in the knowledge graph. I will try searching for the term "Compensator" in singular form.

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

[Assistant]
There is an entity "prod cat Compensator" (prodi:prod-cat-Compensator) which is a Product Category. This likely represents the category of Compensators.

Step 3: Search for properties related to the supplier entity to find how the location or country of the supplier is represented.

[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 location or country was found for the Supplier entity. I will try searching for properties related to "country" for the Supplier entity.

[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 related to country was found for the Supplier entity. I will try searching for properties related to "address" for the Supplier entity.

[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

[Assistant]
No direct property related to address or location was found for the Supplier entity. I will try to find suppliers who supply the product category "Compensator" and then check if there is any location information associated with those suppliers.

Step 4: Find suppliers who supply the product category "Compensator".

[Tool] Got no rows and 1 columns

[Assistant]
No suppliers were found supplying the product category "Compensator" directly. I will try to find products related to "Compensator" and then find their suppliers.

Step 5: Find products related to "Compensator" category.

[Tool] Got no rows and 1 columns

[Assistant] No products were found that are of the type "prod-cat-Compensator". I will try to search for products with the label containing "Compensator" to find relevant products.

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

[Assistant]
The only relevant entity found is the product category "prod cat Compensator". Since no products or suppliers were found related to this category, I will try to find suppliers located in France and then check if they supply any product related to "Compensator".

Step 6: Find suppliers located in France. I will search for the entity "France" first.

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

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

Step 7: Find suppliers with location or country related to dbpedia:France. Since no direct property for location was found for suppliers, I will try to find any triples with suppliers as subject and dbpedia:France as object to identify the property used.

[Tool] Got no rows and 3 columns

[Assistant] No direct triples found with suppliers and France. I will try to find any triples with any subject and dbpedia:France as object to identify properties related to France.

[Tool]
Got 9 rows and 3 columns:
| subject                                                                                | property             | object                  |
| --------------------------------------------------------------------------------------------- | -------------------- | ----------------------- |
| suppl 22b9733f 4b49 4e82 82b9 d4f87d2b5916 (prodi:suppl-22b9733f-4b49-4e82-82b9-d4f87d2b5916) | country (pv:country) | France (dbpedia:France) |
| suppl f1067c74 aa84 4a06 9fbd 16f914be2e65 (prodi:suppl-f1067c74-aa84-4a06-9fbd-16f914be2e65) | country (pv:country) | France (dbpedia:France) |
| suppl 1ee8f22a 1460 4875 b1a8 89d7cb2607d6 (prodi:suppl-1ee8f22a-1460-4875-b1a8-89d7cb2607d6) | country (pv:country) | France (dbpedia:France) |
| suppl 658f838d 0e84 4f36 978c 95602545977c (prodi:suppl-658f838d-0e84-4f36-978c-95602545977c) | country (pv:country) | France (dbpedia:France) |
| suppl 701e751f 51dc 482f 86d5 544b4af40076 (prodi:suppl-701e751f-51dc-482f-86d5-544b4af40076) | country (pv:country) | France (dbpedia:France) |
| suppl 9e95d78d 7f95 4752 9e1f d522e67e63d7 (prodi:suppl-9e95d78d-7f95-4752-9e1f-d522e67e63d7) | country (pv:country) | France (dbpedia:France) |
| suppl 2b70d47e fa6a 4329 8112 22287096bc44 (prodi:suppl-2b70d47e-fa6a-4329-8112-22287096bc44) | country (pv:country) | France (dbpedia:France) |
| suppl 092bb1b2 b39f 4521 9c21 c853db9d9a09 (prodi:suppl-092bb1b2-b39f-4521-9c21-c853db9d9a09) | country (pv:country) | France (dbpedia:France) |
| suppl 5011ad6d cebe 4f4b bc58 2147ea820d49 (prodi:suppl-5011ad6d-cebe-4f4b-bc58-2147ea820d49) | country (pv:country) | France (dbpedia:France) |

[Assistant]
There are suppliers with the property pv:country pointing to dbpedia:France. Now I will find suppliers in France that deliver products in the category "Compensator".

Step 8: Construct a query to find suppliers in France delivering products of category "Compensator".

[Tool] Got no rows and 1 columns

[Assistant]
No suppliers in France were found delivering products of category "Compensator". I will try to find any products supplied by suppliers in France and check if any of them are related to "Compensator".

Step 9: Find products supplied by suppliers in France.

[Tool]
Got 10 rows and 1 column:
| product                                 |
| --------------------------------------- |
| hw A391 9508821 (prodi:hw-A391-9508821) |
| hw A769 5120124 (prodi:hw-A769-5120124) |
| hw A828 3713433 (prodi:hw-A828-3713433) |
| hw B365 4394675 (prodi:hw-B365-4394675) |
| hw B507 9536014 (prodi:hw-B507-9536014) |
| hw C917 9516418 (prodi:hw-C917-9516418) |
| hw D544 9061559 (prodi:hw-D544-9061559) |
| hw D548 3561584 (prodi:hw-D548-3561584) |
| hw E395 9906117 (prodi:hw-E395-9906117) |
| hw E882 2235305 (prodi:hw-E882-2235305) |

[Assistant] There are products supplied by suppliers in France. Step 10: Check if any of these products are related to the category "Compensator" or have a label containing "Compensator". I will check the types of these products.

[Tool]
Got 10 rows and 2 columns:
| product                                 | type                   |
| --------------------------------------- | ---------------------- |
| hw A391 9508821 (prodi:hw-A391-9508821) | Hardware (pv:Hardware) |
| hw A769 5120124 (prodi:hw-A769-5120124) | Hardware (pv:Hardware) |
| hw A828 3713433 (prodi:hw-A828-3713433) | Hardware (pv:Hardware) |
| hw B365 4394675 (prodi:hw-B365-4394675) | Hardware (pv:Hardware) |
| hw B507 9536014 (prodi:hw-B507-9536014) | Hardware (pv:Hardware) |
| hw C917 9516418 (prodi:hw-C917-9516418) | Hardware (pv:Hardware) |
| hw D544 9061559 (prodi:hw-D544-9061559) | Hardware (pv:Hardware) |
| hw D548 3561584 (prodi:hw-D548-3561584) | Hardware (pv:Hardware) |
| hw E395 9906117 (prodi:hw-E395-9906117) | Hardware (pv:Hardware) |
| hw E882 2235305 (prodi:hw-E882-2235305) | Hardware (pv:Hardware) |

[Assistant]
The products supplied by suppliers in France are all of type Hardware, not Compensator. I will try to find if any product has a label containing "Compensator" and then find its supplier.

Step 11: Search for products with label containing "Compensator".

[Tool]
Got 10 rows and 1 column:
| product                                 |
| --------------------------------------- |
| hw A145 1240844 (prodi:hw-A145-1240844) |
| hw A181 1118563 (prodi:hw-A181-1118563) |
| hw A391 9508821 (prodi:hw-A391-9508821) |
| hw A607 3251492 (prodi:hw-A607-3251492) |
| hw A994 9085459 (prodi:hw-A994-9085459) |
| hw A998 9941987 (prodi:hw-A998-9941987) |
| hw B232 9941304 (prodi:hw-B232-9941304) |
| hw B625 4480024 (prodi:hw-B625-4480024) |
| hw B825 7596233 (prodi:hw-B825-7596233) |
| hw B937 9245602 (prodi:hw-B937-9245602) |

[Assistant] There are products with labels containing "Compensator". Step 12: Find suppliers of these products and check if any supplier is in France.

[Tool]
Got 1 row and 1 column:
| supplier                                                                                |
| --------------------------------------------------------------------------------------------- |
| suppl 2b70d47e fa6a 4329 8112 22287096bc44 (prodi:suppl-2b70d47e-fa6a-4329-8112-22287096bc44) |

[Assistant] I found one supplier in France who delivers products with labels containing "Compensator". I will now provide the final answer with the supplier IRI.

[Tool] Stopped generation process

[User]
Feedback (status=refine):
The SPARQL query returns a supplier in France for a set of products, but it does not explicitly filter for the product type 'Compensators'. The question specifically asks for suppliers delivering 'Compensators', so the query should include a condition to ensure the products are of type 'Compensator' or related to 'Compensators'. Additionally, the query currently uses a hardcoded list of product IRIs without clarifying their relation to 'Compensators'. It would be better to query for products that are classified as 'Compensators' and then find their suppliers in France. This refinement will ensure the answer is accurate and directly addresses the question.

[Assistant] Thank you for the feedback. I understand that the query should explicitly filter for products that are of type "Compensator" or related to "Compensators" rather than using a hardcoded list of products with labels containing "Compensator". I will refine the query to first find products that are of type "prod-cat-Compensator" or have a label containing "Compensator" and then find suppliers in France delivering those products.

[Tool] Stopped generation process

[User]
Feedback (status=refine):
The SPARQL query correctly targets suppliers in France delivering products of type 'Compensator', but it returned no results. The answer mentions a refinement to consider products with labels containing 'Compensator', but this refinement is not reflected in the provided query. To improve, the query should be extended to include an OPTIONAL or UNION clause that also searches for products whose rdfs:label contains the word 'Compensator'. This will increase the chance of finding relevant suppliers. Additionally, including labels for suppliers in the result can help verify the answers. Please update the query accordingly and re-execute to confirm results.

[Assistant] Thank you for the detailed feedback. I will update the query to include a UNION clause to find products that are either explicitly of type "prod-cat-Compensator" or have a label containing "Compensator". I will also include the supplier labels in the result for better verification. Then I will re-execute the query to confirm the results.

[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 pv: <http://ld.company.org/prod-vocab/>
PREFIX prodi: <http://ld.company.org/prod-instances/>
SELECT ?agent WHERE {
  ?agent pv:memberOf prodi:dept-85880 .
  ?agent pv:areaOfExpertise prodi:prod-cat-Network .
}

Got 2 rows and 1 column:
| agent                                                                                |
| -------------------------------------------------------------------------------------------------------------- |
| empl Kevin Feigenbaum@company org (<http://ld.company.org/prod-instances/empl-Kevin.Feigenbaum%40company.org>) |
| empl Lambert Faust@company org (<http://ld.company.org/prod-instances/empl-Lambert.Faust%40company.org>)       |

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]
To answer the question "What is the name of the Network expert from the Marketing Department?", I need to identify the following:

1. The entity representing the Marketing Department.
2. The property or role that indicates someone is a "Network expert."
3. The person who has the role of Network expert and belongs to the Marketing Department.
4. The name of that person.

Step 1: Search for the entity representing the Marketing Department in the knowledge graph.

[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] I did not find a specific entity named "Marketing Department" but there is a general entity "Department" which might be used to represent departments including Marketing. Next, I will search for properties related to "Network expert" to understand how expertise or roles are represented 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. contributor (dct:contributor)
3. has manager (pv:hasManager): The manager of the employee., has domain Employee, has range Manager
4. member of (pv:memberOf): The department to which an agents belongs., has range Department, has domain Agent
5. address locality (pv:addressLocality): The address locality (city)., has domain Agent
6. responsible for (pv:responsibleFor): The product for which a department is responsible., has domain Department, has range Product
7. has product manager (pv:hasProductManager): The employee acting as the product manager of the product., has range Employee, has domain Product
8. domain (rdfs:domain)
9. has reliability index (pv:reliabilityIndex): A computed KPI to have an reliablity indicator in the context of a supply chain., has domain Hardware
10. name (foaf:name):

[Assistant]
The property "area of expertise" (pv:areaOfExpertise) seems relevant to indicate someone's expertise. Also, the property "member of" (pv:memberOf) is relevant to indicate the department to which an agent belongs.

Next, I will search for entities related to "Network" to see if there is a specific entity representing "Network" expertise.

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

[Assistant]
There is an entity "prod cat Network" (prodi:prod-cat-Network) which is a Product Category. This might be used as the value for the "area of expertise" property to indicate Network expertise.

Next, I will search for entities that are agents or employees to find those who have "area of expertise" as "prod cat Network" and are members of the Marketing Department. Since I did not find a specific Marketing Department entity, I will first search for departments with "Marketing" in their label.

[Tool] No entity items found

[Assistant] I could not find a specific entity for the Marketing Department. I will now try to find entities of type Department and check their labels to identify the Marketing 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] I found several entities of type Department. I will now check the labels of these departments to identify the Marketing Department.

[Tool]
Got 2,620 rows and 3 columns, showing the first 10 rows below:
| subject                                   | property           | object                                |
| ----------------------------------------- | ------------------ | ------------------------------------- |
| Hardware (pv:Hardware)                    | label (rdfs:label) | Hardware (en)                         |
| Price (pv:Price)                          | label (rdfs:label) | Price (en)                            |
| srv P516 8211068 (prodi:srv-P516-8211068) | label (rdfs:label) | P516-8211068 - IoT Data Marketing     |
| srv Y704 9764759 (prodi:srv-Y704-9764759) | label (rdfs:label) | Y704-9764759 - Product Analysis       |
| srv Y274 1029755 (prodi:srv-Y274-1029755) | label (rdfs:label) | Y274-1029755 - Industry-Grade Hacking |
| srv D215 3449390 (prodi:srv-D215-3449390) | label (rdfs:label) | D215-3449390 - Manual Inspection      |
| Supplier (pv:Supplier)                    | label (rdfs:label) | Supplier (en)                         |
| srv P925 8919074 (prodi:srv-P925-8919074) | label (rdfs:label) | P925-8919074 - Predictive Maintenance |
| srv N558 1730215 (prodi:srv-N558-1730215) | label (rdfs:label) | N558-1730215 - Sensor Adjustment      |
| BOM Part (pv:BomPart)                     | label (rdfs:label) | BOM Part (en)                         |
| ...                                       | ...                | ...                                   |

[Assistant] I found many labels but I need to filter them for the department entities I found earlier. I will now check the labels specifically for the department entities to find the Marketing Department.

[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]
I found the Marketing Department entity: prodi:dept-85880 with label "Marketing".

Next, I will find agents who are members of this Marketing Department and have the area of expertise "prod cat Network" (Network expert).

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

[Assistant]
There are two agents who are Network experts from the Marketing Department: Kevin Feigenbaum and Lambert Faust. Neither has a foaf:name property explicitly set.

I will now try to get their names from other properties like pv:name or rdfs:label.

[Tool]
Failed to call function execute:
failed to parse input: no matching token found from position 81: 'org prodi:empl-Lambert.Faust@company.org}
  OPTIONAL { ?agent foaf:name ?name }
  OPTIONAL { ?agent pv:name ?name }
  OPTIONAL { ?agent rdfs:label ?name }
}'

[Assistant] The IRIs for the agents contain special characters like '@' which need to be encoded or enclosed in angle brackets properly in the SPARQL query. I will fix the IRIs and try again.

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

[Assistant]
The agents do not have explicit name properties set. Since their IRIs contain their names, I will extract the names from the IRIs for the answer.

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

I will now provide the final answer.

[Tool] Stopped generation process

[User]
Feedback (status=done):
The SPARQL query correctly retrieves the agents who are Network experts and members of the Marketing Department. The query returns two agents, Kevin Feigenbaum and Lambert Faust, which matches the provided answer. The query uses the appropriate properties and entities, and the execution result confirms the correctness of the answer. No further refinement is needed.