PREFIX xsd: <http://www.w3.org/2001/XMLSchema#>
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#>
SELECT ?service ?serviceLabel ?amount ?currency WHERE {
  ?service rdf:type pv:Service .
  OPTIONAL {
    ?service rdfs:label ?serviceLabel
  }
  ?service pv:price ?priceNode .
  ?priceNode pv:amount ?amount .
  ?priceNode pv:currency ?currency .
}
ORDER BY DESC ( xsd:decimal ( ?amount ) )
LIMIT 1

The most expensive service offered is 'D215-3449390 - Manual Inspection' (prodi:srv-D215-3449390) with a price of 1709.54 EUR.

What is the most expensive service we offer?

[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 most expensive service we offer?

[Assistant]
Let's break down the question:

1. Entities: "service" (likely a class of offerings), "we" (the company, possibly implicit), "most expensive" (requires a price property).
2. Properties: We need to find properties related to "price" or "cost" for services.

Step 1: Search for the entity "service" to identify how services are represented in the knowledge graph.

[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" is represented as pv:Service in the knowledge graph. This is likely the class for all services offered.

Next, we need to find a property related to "price" or "cost" that applies to services. I'll search for properties with the keyword "price".

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

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

[Assistant]
The property pv:price is used for the price specification of a product, and its range is "Price". To get the actual numeric value, we likely need to follow pv:price to a "Price" node, and then use pv:amount (the amount) and possibly pv:currency.

Next, let's confirm how pv:Service instances are structured and how pv:price is used. I'll list some triples where the subject is of type pv:Service.

[Tool]
Got 9 rows and 3 columns:
| subject                                   | property        | object               |
| ----------------------------------------- | --------------- | -------------------- |
| srv P516 8211068 (prodi:srv-P516-8211068) | type (rdf:type) | Service (pv:Service) |
| srv Y704 9764759 (prodi:srv-Y704-9764759) | type (rdf:type) | Service (pv:Service) |
| srv Y274 1029755 (prodi:srv-Y274-1029755) | type (rdf:type) | Service (pv:Service) |
| srv D215 3449390 (prodi:srv-D215-3449390) | type (rdf:type) | Service (pv:Service) |
| srv P925 8919074 (prodi:srv-P925-8919074) | type (rdf:type) | Service (pv:Service) |
| srv N558 1730215 (prodi:srv-N558-1730215) | type (rdf:type) | Service (pv:Service) |
| srv O662 4012383 (prodi:srv-O662-4012383) | type (rdf:type) | Service (pv:Service) |
| srv U360 2815908 (prodi:srv-U360-2815908) | type (rdf:type) | Service (pv:Service) |
| srv I241 8776317 (prodi:srv-I241-8776317) | type (rdf:type) | Service (pv:Service) |

[Assistant] There are several services in the knowledge graph, each with a unique IRI (e.g., prodi:srv-P516-8211068). Now, let's check how the price is attached to one of these services, for example, prodi:srv-P516-8211068. I'll list its properties.

[Tool]
Got 395 rows and 3 columns, showing the first 10 rows below:
| subject                                   | property                                   | object                                                                                |
| ----------------------------------------- | ------------------------------------------ | -------------------------------------------------------------------------------------------------- |
| srv P516 8211068 (prodi:srv-P516-8211068) | type (rdf:type)                            | Service (pv:Service)                                                                               |
| srv P516 8211068 (prodi:srv-P516-8211068) | label (rdfs:label)                         | P516-8211068 - IoT Data Marketing                                                                  |
| srv P516 8211068 (prodi:srv-P516-8211068) | eligible for (pv:eligibleFor)              | hw A145 1240844 (prodi:hw-A145-1240844)                                                            |
| srv P516 8211068 (prodi:srv-P516-8211068) | name (pv:name)                             | IoT Data Marketing                                                                                |
| srv P516 8211068 (prodi:srv-P516-8211068) | ID (pv:id)                                 | P516-8211068                                                                                |
| srv P516 8211068 (prodi:srv-P516-8211068) | has product manager (pv:hasProductManager) | empl Henny Foth@company org (<http://ld.company.org/prod-instances/empl-Henny.Foth%40company.org>) |
| srv P516 8211068 (prodi:srv-P516-8211068) | price (pv:price)                           | price srv P516 8211068 EUR (prodi:price-srv-P516-8211068-EUR)                                      |
| srv P516 8211068 (prodi:srv-P516-8211068) | eligible for (pv:eligibleFor)              | hw A243 3332548 (prodi:hw-A243-3332548)                                                            |
| srv P516 8211068 (prodi:srv-P516-8211068) | eligible for (pv:eligibleFor)              | hw A315 1730287 (prodi:hw-A315-1730287)                                                            |
| srv P516 8211068 (prodi:srv-P516-8211068) | eligible for (pv:eligibleFor)              | hw A464 7310986 (prodi:hw-A464-7310986)                                                            |
| ...                                       | ...                                        | ...                                                                                |

[Assistant] The service prodi:srv-P516-8211068 has a pv:price property pointing to prodi:price-srv-P516-8211068-EUR. To get the actual price, let's list the properties of this price node.

[Tool]
Got 4 rows and 3 columns:
| subject                                                       | property               | object                |
| ------------------------------------------------------------- | ---------------------- | --------------------- |
| price srv P516 8211068 EUR (prodi:price-srv-P516-8211068-EUR) | type (rdf:type)        | Price (pv:Price)      |
| price srv P516 8211068 EUR (prodi:price-srv-P516-8211068-EUR) | label (rdfs:label)     | 1162,32 EUR           |
| price srv P516 8211068 EUR (prodi:price-srv-P516-8211068-EUR) | amount (pv:amount)     | 1162.32 (xsd:decimal) |
| price srv P516 8211068 EUR (prodi:price-srv-P516-8211068-EUR) | currency (pv:currency) | EUR                   |

[Assistant]
The price node has:
- pv:amount: 1162.32 (xsd:decimal)
- pv:currency: EUR

This confirms the structure:
- Service (pv:Service) → pv:price → Price node → pv:amount (numeric value), pv:currency

Now, to find the most expensive service, we need to:
1. Get all services (rdf:type pv:Service)
2. For each, get their pv:price node
3. From the price node, get pv:amount and pv:currency
4. Order by pv:amount descending, limit 1

I'll write the SPARQL query accordingly.

[Tool]
Got 1 row and 4 columns:
| service                                   | serviceLabel                     | amount                | currency |
| ----------------------------------------- | -------------------------------- | --------------------- | -------- |
| srv D215 3449390 (prodi:srv-D215-3449390) | D215-3449390 - Manual Inspection | 1709.54 (xsd:decimal) | EUR      |

[Tool] Stopped generation process


PREFIX wgs84: <http://www.w3.org/2003/01/geo/wgs84_pos#>
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#>
SELECT ?supplier ?name ?label ?addressText ?addressCountry ?addressCountryCode ?addressLocality ?lat ?long ?country WHERE {
  ?supplier rdf:type pv:Supplier .
  OPTIONAL {
    ?supplier pv:name ?name
  }
  OPTIONAL {
    ?supplier rdfs:label ?label
  }
  OPTIONAL {
    ?supplier pv:addressText ?addressText
  }
  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
  }
}

Here are all suppliers with their names and all available address details, including country, country code, locality, latitude, longitude, and any address text or country links.

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]
Let's break down the question:

1. Entities: "supplier" is the main entity.
2. Properties: We need the supplier's "name" and "all address details".

Step 1: Find the entity for "supplier".
I'll search for "supplier" in the knowledge graph.

Step 2: Find properties related to "name" and "address" for suppliers.
I'll search for properties like "name" and "address" that might be associated with the supplier entity.

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

[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

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

No other items found

[Tool]
Top 10 property alternatives:
1. 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. 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

[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>) |

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

8. name (pv:name): The name of something.
9. lat (wgs84:lat)
10. country (pv:country): The country where the supplier is located., has domain Supplier, has range Country

[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

[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. creator (dct:creator)
4. name (foaf:name):

5. name (pv:name): The name of something.
6. license (<http://creativecommons.org/ns#license>)
7. contributor (dct:contributor)
8. domain (rdfs:domain)
9. has manager (pv:hasManager): The manager of the employee., has domain Employee, has range Manager
10. publisher (dct:publisher)

[Tool]
Top 10 property alternatives:
1. supplier (pv:hasSupplier): The supplier of a product., has domain Product, has range Supplier
2. address country (pv:addressCountry): The address country., has domain Agent
3. address text (pv:addressText): The address text., has domain Agent
4. address country code (pv:addressCountryCode): The address country code., has domain Agent
5. phone number (pv:phone): has domain Agent, A phone number.
6. address locality (pv:addressLocality): The address locality (city)., has domain Agent
7. compatible product (pv:compatibleProduct): A compatible product., has domain Product, has range Product
8. label (rdfs:label)
9. email (pv:email): The e-mail of an agent., has domain Agent
10. country (pv:country): The country where the supplier is located., has domain Supplier, has range Country

[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

[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) |
| ...                                                                                | ...             | ...                    |

[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)  |

[Tool]
Got 1,364 rows and 3 columns, showing the first 10 rows below:
| subject                                           | property       | object                 |
| ------------------------------------------------- | -------------- | ---------------------- |
| srv P516 8211068 (prodi:srv-P516-8211068)         | name (pv:name) | IoT Data Marketing     |
| srv Y704 9764759 (prodi:srv-Y704-9764759)         | name (pv:name) | Product Analysis       |
| srv Y274 1029755 (prodi:srv-Y274-1029755)         | name (pv:name) | Industry-Grade Hacking |
| srv D215 3449390 (prodi:srv-D215-3449390)         | name (pv:name) | Manual Inspection      |
| srv P925 8919074 (prodi:srv-P925-8919074)         | name (pv:name) | Predictive Maintenance |
| srv N558 1730215 (prodi:srv-N558-1730215)         | name (pv:name) | Sensor Adjustment      |
| srv O662 4012383 (prodi:srv-O662-4012383)         | name (pv:name) | Involuntary Service    |
| prod cat Compensator (prodi:prod-cat-Compensator) | name (pv:name) | Compensator            |
| prod cat Crystal (prodi:prod-cat-Crystal)         | name (pv:name) | Crystal                |
| prod cat Encoder (prodi:prod-cat-Encoder)         | name (pv:name) | Encoder                |
| ...                                               | ...            | ...                    |

[Tool]
Got 35 rows and 3 columns, showing the first 10 rows below:
| subject                                                                                | property                      | object                                     |
| -------------------------------------------------------------------------------------------------------------- | ----------------------------- | ------------------------------------------ |
| empl Gretel Roth@company org (<http://ld.company.org/prod-instances/empl-Gretel.Roth%40company.org>)           | address text (pv:addressText) | Schaumainkai 488                           |
| empl Thomas Mueller@company org (<http://ld.company.org/prod-instances/empl-Thomas.Mueller%40company.org>)     | address text (pv:addressText) | Karl-Liebknecht-Straße 885, 82003 Tettnang |
| empl Franziska Acker@company org (<http://ld.company.org/prod-instances/empl-Franziska.Acker%40company.org>)   | address text (pv:addressText) | Berliner Straße 428, 50920 Tann            |
| empl Bert Blumstein@company org (<http://ld.company.org/prod-instances/empl-Bert.Blumstein%40company.org>)     | address text (pv:addressText) | Wilhelmstraße 232, 15114 Königsberg        |
| empl Elena Herzog@company org (<http://ld.company.org/prod-instances/empl-Elena.Herzog%40company.org>)         | address text (pv:addressText) | Kirchgasse 806, 76088 Kamen                |
| empl Elisabeth Harman@company org (<http://ld.company.org/prod-instances/empl-Elisabeth.Harman%40company.org>) | address text (pv:addressText) | Lintgasse 338, 66427 Tegernsee             |
| empl Adolfina Hoch@company org (<http://ld.company.org/prod-instances/empl-Adolfina.Hoch%40company.org>)       | address text (pv:addressText) | Motzstraße 26, 13611 Gartz                 |
| empl Corinna Ludwig@company org (<http://ld.company.org/prod-instances/empl-Corinna.Ludwig%40company.org>)     | address text (pv:addressText) | Ringstraße 276                             |
| empl Jarvis Jans@company org (<http://ld.company.org/prod-instances/empl-Jarvis.Jans%40company.org>)           | address text (pv:addressText) | Palmaille 837                              |
| empl Berlin Schulz@company org (<http://ld.company.org/prod-instances/empl-Berlin.Schulz%40company.org>)       | address text (pv:addressText) | Schleißheimer Straße 219                   |
| ...                                                                                | ...                           | ...                                        |

[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 country (pv:addressCountry) | India         |
| suppl 847abdb2 44de 41ba a4ec 235dc4f4a617 (prodi:suppl-847abdb2-44de-41ba-a4ec-235dc4f4a617) | address country (pv:addressCountry) | Turkey        |
| suppl 3288e7a5 6b1b 482e 8c95 3265f948ae03 (prodi:suppl-3288e7a5-6b1b-482e-8c95-3265f948ae03) | address country (pv:addressCountry) | China         |
| suppl 47528cbf c41b 4897 b917 6f4c1394fe1f (prodi:suppl-47528cbf-c41b-4897-b917-6f4c1394fe1f) | address country (pv:addressCountry) | United States |
| suppl 7608b763 1e52 4ad9 94b0 d574af19612c (prodi:suppl-7608b763-1e52-4ad9-94b0-d574af19612c) | address country (pv:addressCountry) | Uganda        |
| suppl 27f8059f fe10 4a39 aa68 d66210c9cc59 (prodi:suppl-27f8059f-fe10-4a39-aa68-d66210c9cc59) | address country (pv:addressCountry) | Viet Nam      |
| suppl 2f7172a0 e935 4dfc 98a6 b48dcec0ad18 (prodi:suppl-2f7172a0-e935-4dfc-98a6-b48dcec0ad18) | address country (pv:addressCountry) | Mozambique    |
| suppl 816202d7 9e53 402c 94a2 fb21b0e37c0e (prodi:suppl-816202d7-9e53-402c-94a2-fb21b0e37c0e) | address country (pv:addressCountry) | Pakistan      |
| suppl fdd83431 425f 4291 b8e4 f08805b6b89d (prodi:suppl-fdd83431-425f-4291-b8e4-f08805b6b89d) | address country (pv:addressCountry) | Bangladesh    |
| suppl 22b9733f 4b49 4e82 82b9 d4f87d2b5916 (prodi:suppl-22b9733f-4b49-4e82-82b9-d4f87d2b5916) | address country (pv:addressCountry) | France        |
| ...                                                                                | ...                                 | ...           |

[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 country code (pv:addressCountryCode) | IN     |
| suppl 847abdb2 44de 41ba a4ec 235dc4f4a617 (prodi:suppl-847abdb2-44de-41ba-a4ec-235dc4f4a617) | address country code (pv:addressCountryCode) | TR     |
| suppl 3288e7a5 6b1b 482e 8c95 3265f948ae03 (prodi:suppl-3288e7a5-6b1b-482e-8c95-3265f948ae03) | address country code (pv:addressCountryCode) | CN     |
| suppl 47528cbf c41b 4897 b917 6f4c1394fe1f (prodi:suppl-47528cbf-c41b-4897-b917-6f4c1394fe1f) | address country code (pv:addressCountryCode) | US     |
| suppl 7608b763 1e52 4ad9 94b0 d574af19612c (prodi:suppl-7608b763-1e52-4ad9-94b0-d574af19612c) | address country code (pv:addressCountryCode) | UG     |
| suppl 27f8059f fe10 4a39 aa68 d66210c9cc59 (prodi:suppl-27f8059f-fe10-4a39-aa68-d66210c9cc59) | address country code (pv:addressCountryCode) | VN     |
| suppl 2f7172a0 e935 4dfc 98a6 b48dcec0ad18 (prodi:suppl-2f7172a0-e935-4dfc-98a6-b48dcec0ad18) | address country code (pv:addressCountryCode) | MZ     |
| suppl 816202d7 9e53 402c 94a2 fb21b0e37c0e (prodi:suppl-816202d7-9e53-402c-94a2-fb21b0e37c0e) | address country code (pv:addressCountryCode) | PK     |
| suppl fdd83431 425f 4291 b8e4 f08805b6b89d (prodi:suppl-fdd83431-425f-4291-b8e4-f08805b6b89d) | address country code (pv:addressCountryCode) | BD     |
| suppl 22b9733f 4b49 4e82 82b9 d4f87d2b5916 (prodi:suppl-22b9733f-4b49-4e82-82b9-d4f87d2b5916) | address country code (pv:addressCountryCode) | FR     |
| ...                                                                                | ...                                          | ...    |

[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]
Got 227 rows and 3 columns, showing the first 10 rows below:
| subject                                                                                | property             | object                                |
| --------------------------------------------------------------------------------------------- | -------------------- | ------------------------------------- |
| suppl 07335cfb 9bbc 4be5 b546 bdd8af104e7e (prodi:suppl-07335cfb-9bbc-4be5-b546-bdd8af104e7e) | country (pv:country) | United States (dbpedia:United_States) |
| suppl f76eb805 4d84 4b4b 9aa3 95c287be41d0 (prodi:suppl-f76eb805-4d84-4b4b-9aa3-95c287be41d0) | country (pv:country) | India (dbpedia:India)                 |
| suppl 847abdb2 44de 41ba a4ec 235dc4f4a617 (prodi:suppl-847abdb2-44de-41ba-a4ec-235dc4f4a617) | country (pv:country) | Turkey (dbpedia:Turkey)               |
| suppl 3288e7a5 6b1b 482e 8c95 3265f948ae03 (prodi:suppl-3288e7a5-6b1b-482e-8c95-3265f948ae03) | country (pv:country) | China (dbpedia:China)                 |
| suppl 7608b763 1e52 4ad9 94b0 d574af19612c (prodi:suppl-7608b763-1e52-4ad9-94b0-d574af19612c) | country (pv:country) | Uganda (dbpedia:Uganda)               |
| suppl 27f8059f fe10 4a39 aa68 d66210c9cc59 (prodi:suppl-27f8059f-fe10-4a39-aa68-d66210c9cc59) | country (pv:country) | Vietnam (dbpedia:Vietnam)             |
| suppl 2f7172a0 e935 4dfc 98a6 b48dcec0ad18 (prodi:suppl-2f7172a0-e935-4dfc-98a6-b48dcec0ad18) | country (pv:country) | Mozambique (dbpedia:Mozambique)       |
| suppl 816202d7 9e53 402c 94a2 fb21b0e37c0e (prodi:suppl-816202d7-9e53-402c-94a2-fb21b0e37c0e) | country (pv:country) | Pakistan (dbpedia:Pakistan)           |
| suppl fdd83431 425f 4291 b8e4 f08805b6b89d (prodi:suppl-fdd83431-425f-4291-b8e4-f08805b6b89d) | country (pv:country) | Bangladesh (dbpedia:Bangladesh)       |
| suppl 22b9733f 4b49 4e82 82b9 d4f87d2b5916 (prodi:suppl-22b9733f-4b49-4e82-82b9-d4f87d2b5916) | country (pv:country) | France (dbpedia:France)               |
| ...                                                                                | ...                  | ...                                   |

[Tool]
Got 35 rows and 3 columns, showing the first 10 rows below:
| subject                                                                                | property                      | object                                     |
| -------------------------------------------------------------------------------------------------------------- | ----------------------------- | ------------------------------------------ |
| empl Gretel Roth@company org (<http://ld.company.org/prod-instances/empl-Gretel.Roth%40company.org>)           | address text (pv:addressText) | Schaumainkai 488                           |
| empl Thomas Mueller@company org (<http://ld.company.org/prod-instances/empl-Thomas.Mueller%40company.org>)     | address text (pv:addressText) | Karl-Liebknecht-Straße 885, 82003 Tettnang |
| empl Franziska Acker@company org (<http://ld.company.org/prod-instances/empl-Franziska.Acker%40company.org>)   | address text (pv:addressText) | Berliner Straße 428, 50920 Tann            |
| empl Bert Blumstein@company org (<http://ld.company.org/prod-instances/empl-Bert.Blumstein%40company.org>)     | address text (pv:addressText) | Wilhelmstraße 232, 15114 Königsberg        |
| empl Elena Herzog@company org (<http://ld.company.org/prod-instances/empl-Elena.Herzog%40company.org>)         | address text (pv:addressText) | Kirchgasse 806, 76088 Kamen                |
| empl Elisabeth Harman@company org (<http://ld.company.org/prod-instances/empl-Elisabeth.Harman%40company.org>) | address text (pv:addressText) | Lintgasse 338, 66427 Tegernsee             |
| empl Adolfina Hoch@company org (<http://ld.company.org/prod-instances/empl-Adolfina.Hoch%40company.org>)       | address text (pv:addressText) | Motzstraße 26, 13611 Gartz                 |
| empl Corinna Ludwig@company org (<http://ld.company.org/prod-instances/empl-Corinna.Ludwig%40company.org>)     | address text (pv:addressText) | Ringstraße 276                             |
| empl Jarvis Jans@company org (<http://ld.company.org/prod-instances/empl-Jarvis.Jans%40company.org>)           | address text (pv:addressText) | Palmaille 837                              |
| empl Berlin Schulz@company org (<http://ld.company.org/prod-instances/empl-Berlin.Schulz%40company.org>)       | address text (pv:addressText) | Schleißheimer Straße 219                   |
| ...                                                                                | ...                           | ...                                        |

[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>)   | email (pv:email) | Wolfgang.Martin@company.org  |
| empl Gretel Roth@company org (<http://ld.company.org/prod-instances/empl-Gretel.Roth%40company.org>)           | email (pv:email) | Gretel.Roth@company.org      |
| empl Thomas Mueller@company org (<http://ld.company.org/prod-instances/empl-Thomas.Mueller%40company.org>)     | email (pv:email) | Thomas.Mueller@company.org   |
| empl Franziska Acker@company org (<http://ld.company.org/prod-instances/empl-Franziska.Acker%40company.org>)   | email (pv:email) | Franziska.Acker@company.org  |
| empl Bert Blumstein@company org (<http://ld.company.org/prod-instances/empl-Bert.Blumstein%40company.org>)     | email (pv:email) | Bert.Blumstein@company.org   |
| empl Elena Herzog@company org (<http://ld.company.org/prod-instances/empl-Elena.Herzog%40company.org>)         | email (pv:email) | Elena.Herzog@company.org     |
| empl Elisabeth Harman@company org (<http://ld.company.org/prod-instances/empl-Elisabeth.Harman%40company.org>) | email (pv:email) | Elisabeth.Harman@company.org |
| empl Kevin Feigenbaum@company org (<http://ld.company.org/prod-instances/empl-Kevin.Feigenbaum%40company.org>) | email (pv:email) | Kevin.Feigenbaum@company.org |
| empl Manfred Foth@company org (<http://ld.company.org/prod-instances/empl-Manfred.Foth%40company.org>)         | email (pv:email) | Manfred.Foth@company.org     |
| empl Adolfina Hoch@company org (<http://ld.company.org/prod-instances/empl-Adolfina.Hoch%40company.org>)       | email (pv:email) | Adolfina.Hoch@company.org    |
| ...                                                                                | ...              | ...                          |

[Tool]
Got 42 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>)     | phone number (pv:phone) | +49-701-5973041   |
| empl Gretel Roth@company org (<http://ld.company.org/prod-instances/empl-Gretel.Roth%40company.org>)             | phone number (pv:phone) | +49-9456-94517553 |
| empl Thomas Mueller@company org (<http://ld.company.org/prod-instances/empl-Thomas.Mueller%40company.org>)       | phone number (pv:phone) | +49-8200-38218301 |
| empl Franziska Acker@company org (<http://ld.company.org/prod-instances/empl-Franziska.Acker%40company.org>)     | phone number (pv:phone) | (01908) 6892372   |
| empl Elena Herzog@company org (<http://ld.company.org/prod-instances/empl-Elena.Herzog%40company.org>)           | phone number (pv:phone) | +49-7608-83268331 |
| empl Elisabeth Harman@company org (<http://ld.company.org/prod-instances/empl-Elisabeth.Harman%40company.org>)   | phone number (pv:phone) | +49-4278-55203507 |
| empl Adolfina Hoch@company org (<http://ld.company.org/prod-instances/empl-Adolfina.Hoch%40company.org>)         | phone number (pv:phone) | +49-109-5719002   |
| empl Corinna Ludwig@company org (<http://ld.company.org/prod-instances/empl-Corinna.Ludwig%40company.org>)       | phone number (pv:phone) | +49-1743-24836762 |
| empl Jarvis Jans@company org (<http://ld.company.org/prod-instances/empl-Jarvis.Jans%40company.org>)             | phone number (pv:phone) | (0322) 517636576  |
| empl Franz Kornhaeusel@company org (<http://ld.company.org/prod-instances/empl-Franz.Kornhaeusel%40company.org>) | phone number (pv:phone) | (02065) 4946239   |
| ...                                                                                | ...                     | ...               |

[Tool]
Got 250 rows and 10 columns, showing the first 5 and last 5 rows below:
| supplier                                                                                | name                        | label                                | addressText | addressCountry | addressCountryCode | addressLocality | lat         | long               | country                             |
| --------------------------------------------------------------------------------------------- | --------------------------- | ------------------------------------ | ----------- | -------------- | ------------------ | --------------- | ----------- | ------------------ | ----------------------------------- |
| suppl 0058fc5e e9e8 46eb ac6d 673e436a5d7a (prodi:suppl-0058fc5e-e9e8-46eb-ac6d-673e436a5d7a) | Allen-Short                 | Allen-Short (South Africa)           |             | South Africa   | ZA                 | Mondlo          | -27.958203  | 30.7196884         | South Africa (dbpedia:South_Africa) |
| suppl 0301f65d 2290 456b a3f7 b2096a632198 (prodi:suppl-0301f65d-2290-456b-a3f7-b2096a632198) | Maxwell Inc                 | Maxwell Inc (India)                  |             | India          | IN                 | Naraini         | 25.1893967  | 80.51807042643755  | India (dbpedia:India)               |
| suppl 034022f5 5327 45c2 aaff 524b1be2fbd5 (prodi:suppl-034022f5-5327-45c2-aaff-524b1be2fbd5) | Drake Ltd                   | Drake Ltd (Honduras)                 |             | Honduras       | HN                 | El Paraíso      | 13.9619941  | -86.56279208240295 | Honduras (dbpedia:Honduras)         |
| suppl 05b5a686 c821 41c4 bc2c b66d35bac1d8 (prodi:suppl-05b5a686-c821-41c4-bc2c-b66d35bac1d8) | Curtis, Doyle and Singleton | Curtis, Doyle and Singleton (Canada) |             | Canada         | CA                 | West Hill       | 43.7689144  | -79.1872905        | Canada (dbpedia:Canada)             |
| suppl 06034b22 8e1b 435f 902e 88739f77d86a (prodi:suppl-06034b22-8e1b-435f-902e-88739f77d86a) | Lee and Sons                | Lee and Sons (Brazil)                |             | Brazil         | BR                 | Bandeirantes    | -23.107788  | -50.370407         | Brazil (dbpedia:Brazil)             |
| ...                                                                                | ...                         | ...                                  | ...         | ...            | ...                | ...             | ...         | ...                | ...                                 |
| suppl fbfe40db 81e4 4b35 93d5 a996307a266e (prodi:suppl-fbfe40db-81e4-4b35-93d5-a996307a266e) | Church Inc                  | Church Inc (Ukraine)                 |             | Ukraine        | UA                 | Molodohvardiisk | 48.3459067  | 39.6524188         |                                     |
| suppl fcdf3268 b0f0 4e2b 8fbd 6008cb4a6d0e (prodi:suppl-fcdf3268-b0f0-4e2b-8fbd-6008cb4a6d0e) | Carlson Inc                 | Carlson Inc (Brazil)                 |             | Brazil         | BR                 | Canguçu         | -31.398276  | -52.6773522        | Brazil (dbpedia:Brazil)             |
| suppl fd5556a6 46fc 4d68 846b e543ce6f4ec9 (prodi:suppl-fd5556a6-46fc-4d68-846b-e543ce6f4ec9) | Stevens Ltd                 | Stevens Ltd (Peru)                   |             | Peru           | PE                 | Chiclayo        | -6.7716146  | -79.8387175        | Peru (dbpedia:Peru)                 |
| suppl fdd83431 425f 4291 b8e4 f08805b6b89d (prodi:suppl-fdd83431-425f-4291-b8e4-f08805b6b89d) | Thomas-Jenkins              | Thomas-Jenkins (Bangladesh)          |             | Bangladesh     | BD                 | Muktāgācha      | 24.73300275 | 90.22841510134836  | Bangladesh (dbpedia:Bangladesh)     |
| suppl feeda1ce d6af 42b2 b6ff 7516ba39ad6c (prodi:suppl-feeda1ce-d6af-42b2-b6ff-7516ba39ad6c) | Calderon-Montgomery         | Calderon-Montgomery (Italy)          |             | Italy          | IT                 | Gallarate       | 45.6598951  | 8.7932013          | Italy (dbpedia:Italy)               |

[Tool] Stopped generation process


PREFIX pv: <http://ld.company.org/prod-vocab/>
SELECT ?manager ?managerDept ?teamSize ?sameDeptCount ( ( ?sameDeptCount * 100.0 ) / ?teamSize AS ?percentage ) WHERE {
  {
    SELECT ?manager ( COUNT( ?teamMember ) AS ?teamSize ) WHERE {
      ?teamMember pv:hasManager ?manager .
    }
    GROUP BY ?manager
  }
  {
    SELECT ?manager ( COUNT( ?teamMember ) AS ?sameDeptCount ) WHERE {
      ?teamMember pv:hasManager ?manager .
      ?teamMember pv:memberOf ?dept .
      ?manager pv:memberOf ?dept .
    }
    GROUP BY ?manager
  }
  ?manager pv:memberOf ?managerDept .
}

Got 6 rows and 5 columns:
| manager                                                                                | managerDept                   | teamSize     | sameDeptCount | percentage        |
| ---------------------------------------------------------------------------------------------------------------- | ----------------------------- | ------------ | ------------- | ----------------- |
| empl Dietlinde Boehme@company org (<http://ld.company.org/prod-instances/empl-Dietlinde.Boehme%40company.org>)   | dept 85880 (prodi:dept-85880) | 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>)           | dept 41622 (prodi:dept-41622) | 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>) | dept 22183 (prodi:dept-22183) | 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>)       | dept 66469 (prodi:dept-66469) | 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>)       | dept 73191 (prodi:dept-73191) | 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>) | dept 84279 (prodi:dept-84279) | 8 (xsd:int)  | 8 (xsd:int)   | 100 (xsd:decimal) |

For each manager, 100% of their team members work in the same department as the manager. The query returns the manager, their department, total team size, number of team members in the same department, and the percentage (which is 100 for all managers in this dataset).

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]
Let's break down the question:

1. We need to identify all managers.
2. For each manager, we need to find their team members.
3. For each manager, we need to know their department.
4. For each team member, we need to know their department.
5. For each manager, we need to calculate the percentage of their team members who are in the same department as the manager.

First, let's search for entities and properties related to "manager", "team", and "department" in the knowledge graph to understand the schema.

I'll start by searching for the entity "manager".

[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]
We have found the following relevant entities and properties:
- Manager (pv:Manager): class for managers
- has manager (pv:hasManager): property linking employees to their manager

Next, let's search for properties related to "team" to see how team membership is modeled.

[Tool]
Top 10 property alternatives:
1. name (foaf:name):

2. name (pv:name): The name of something.
3. member of (pv:memberOf): The department to which an agents belongs., has range Department, has domain Agent
4. price (pv:price): The price specification of a product., has domain Product, has range Price
5. country (pv:country): The country where the supplier is located., has domain Supplier, has range Country
6. contributor (dct:contributor)
7. part (pv:hasPart): has domain BOM Part, The Product needed., has range Product
8. created (dct:created)
9. area of expertise (pv:areaOfExpertise): The product category agent is expert for., has range Product Category, has domain Agent
10. type (rdf:type)

[Assistant]
There is no direct "team" property, but we have:
- has manager (pv:hasManager): links employees to their manager
- member of (pv:memberOf): links agents (including employees) to their department

So, to find a manager's team, we can look for employees who have that manager via pv:hasManager.

Now, let's search for properties related to "department" to confirm the use of pv:memberOf and to find the department of a manager.

[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 indeed used to link agents (including managers and employees) to their department.

To summarize:
- Managers are instances of pv:Manager.
- Employees have a pv:hasManager property pointing to their manager.
- Both employees and managers have a pv:memberOf property pointing to their department.

Now, let's confirm that managers themselves have a pv:memberOf property by listing some triples for a manager entity.

[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]
The class pv:Manager is a subclass of pv:Employee, so managers should have the same properties as employees, including pv:memberOf.

Now, let's confirm that employees have the pv:hasManager property and that we can find their manager and department. I'll list some triples for an employee instance.

[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>)

[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]
The class pv:Employee is a subclass of pv:Agent, and we know from the property definition that pv:memberOf applies to Agent.

Now, let's list some triples where the property is pv:hasManager to see how employees are linked to 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]
We can see that employees are linked to their managers via pv:hasManager, and both are represented as instances with IRIs like prodi:empl-Name@company.org.

Now, let's check if these employee and manager instances have a pv:memberOf property to get their department. I'll list some triples for one of the manager IRIs, e.g., prodi:empl-Elena.Herzog@company.org.

[Tool] Got no rows and 3 columns

[Assistant]
It appears that there are no direct triples for this manager instance, at least not in the first batch. It's possible that the department information is stored for some but not all employees/managers, or that the property is used inconsistently.

Let's try listing all triples with the property pv:memberOf to see which entities have department information and what the department IRIs look like.

[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]
We can see that both employees and managers have the pv:memberOf property linking them to departments.

Now, let's summarize the plan for the SPARQL query:
- For each manager:
  - Find all employees with pv:hasManager pointing to that manager.
  - For each team member, get their department via pv:memberOf.
  - Get the manager's department via pv:memberOf.
  - Count the total number of team members and the number of team members whose department matches the manager's department.
  - Calculate the percentage.

Let's write a SPARQL query that does this for each manager.

[Tool]
Failed to call function execute:
failed to parse input: parse error at position 206 for token ) with content ')' (the input most likely does not follow the grammar)

[Assistant]
The error is likely due to the use of the IF function and arithmetic in the SELECT clause, which may not be supported in this SPARQL endpoint. Let's try a more basic approach: first, get the total number of team members and the number in the same department as the manager, then calculate the percentage outside of SPARQL if needed.

But as per the rules, all computation must be done in SPARQL. Let's try using subqueries to get the counts.

First, let's get, for each manager, the total number of team members and the number of team members in the same department as the manager, using subqueries.

[Tool]
Got 6 rows and 5 columns:
| manager                                                                                | managerDept                   | teamSize     | sameDeptCount | percentage        |
| ---------------------------------------------------------------------------------------------------------------- | ----------------------------- | ------------ | ------------- | ----------------- |
| empl Dietlinde Boehme@company org (<http://ld.company.org/prod-instances/empl-Dietlinde.Boehme%40company.org>)   | dept 85880 (prodi:dept-85880) | 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>)           | dept 41622 (prodi:dept-41622) | 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>) | dept 22183 (prodi:dept-22183) | 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>)       | dept 66469 (prodi:dept-66469) | 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>)       | dept 73191 (prodi:dept-73191) | 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>) | dept 84279 (prodi:dept-84279) | 8 (xsd:int)  | 8 (xsd:int)   | 100 (xsd:decimal) |

[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 DISTINCT ?manager ?managerLabel WHERE {
  ?employee pv:memberOf prodi:dept-41622 .
  ?employee pv:hasManager ?manager .
  OPTIONAL {
    ?manager rdfs:label ?managerLabel
  }
}

The manager of the Data Services department is Elena Herzog (http://ld.company.org/prod-instances/empl-Elena.Herzog%40company.org).

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]
Let's break down the question:

1. The user wants to know the manager of the "Data Services" department.
2. I need to identify the entity for the "Data Services" department in the knowledge graph.
3. Then, I need to find the property that links a department to its manager.
4. Finally, I will construct a SPARQL query to retrieve the manager.

First, I will 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]
It appears that there is no direct match for a "Data Services" department entity in the knowledge graph. The closest matches are "Dataset" and "Datatype Property," which are not relevant to departments.

To be thorough, I will try searching for "department" to see if there are any department entities or a class for departments in the knowledge graph. This might help me find the correct way to reference departments or see if "Data Services" is listed under a different naming convention.

[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 for "Department" (pv:Department), which likely represents departments in the organization.

Next, I will search for instances of pv:Department to see if "Data Services" is listed as an instance or subclass. This will help me identify the correct entity for the "Data Services" department.

[Tool]
Got 8 rows and 3 columns:
| subject                             | property             | object                     |
| ----------------------------------- | -------------------- | -------------------------- |
| dept 22183 (prodi:dept-22183)       | type (rdf:type)      | Department (pv:Department) |
| member of (pv:memberOf)             | range (rdfs:range)   | Department (pv:Department) |
| responsible for (pv:responsibleFor) | domain (rdfs:domain) | 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 several department entities, such as prodi:dept-22183, prodi:dept-85880, etc. To identify which one corresponds to "Data Services," I need to check their labels.

I will list the labels for these department entities to find the one named "Data Services."

[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)   |
| ...                           | ...                                 | ...                                       |

[Tool]
Got 15 rows and 3 columns, showing the first 10 rows below:
| subject                       | property                            | object                                    |
| ----------------------------- | ----------------------------------- | ----------------------------------------- |
| dept 41622 (prodi:dept-41622) | type (rdf:type)                     | Department (pv:Department)                |
| dept 41622 (prodi:dept-41622) | label (rdfs:label)                  | Data Services                             |
| dept 41622 (prodi:dept-41622) | name (pv:name)                      | Data Services                             |
| dept 41622 (prodi:dept-41622) | ID (pv:id)                          | 41622                                     |
| dept 41622 (prodi:dept-41622) | responsible for (pv:responsibleFor) | srv Y274 1029755 (prodi:srv-Y274-1029755) |
| dept 41622 (prodi:dept-41622) | responsible for (pv:responsibleFor) | hw Z272 2955088 (prodi:hw-Z272-2955088)   |
| dept 41622 (prodi:dept-41622) | responsible for (pv:responsibleFor) | hw A145 1240844 (prodi:hw-A145-1240844)   |
| dept 41622 (prodi:dept-41622) | responsible for (pv:responsibleFor) | hw C697 6765940 (prodi:hw-C697-6765940)   |
| dept 41622 (prodi:dept-41622) | responsible for (pv:responsibleFor) | hw D228 6993564 (prodi:hw-D228-6993564)   |
| dept 41622 (prodi:dept-41622) | responsible for (pv:responsibleFor) | hw D762 3837218 (prodi:hw-D762-3837218)   |
| ...                           | ...                                 | ...                                       |

[Assistant]
I have found that prodi:dept-41622 is the "Data Services" department.

Next, I need to find the property that links a department to its manager. I will search for properties related to "manager" in the knowledge graph.

[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]
The property pv:hasManager ("has manager") is the most relevant. However, its domain is Employee, and its range is Manager. This suggests that it is used to link an employee to their manager, not a department to its manager.

To confirm, I will check which properties are used with the "Data Services" department entity (prodi:dept-41622) to see if there is a property linking it to a manager or similar role.

[Tool]
Got 15 rows and 3 columns, showing the first 10 rows below:
| subject                       | property                            | object                                    |
| ----------------------------- | ----------------------------------- | ----------------------------------------- |
| dept 41622 (prodi:dept-41622) | type (rdf:type)                     | Department (pv:Department)                |
| dept 41622 (prodi:dept-41622) | label (rdfs:label)                  | Data Services                             |
| dept 41622 (prodi:dept-41622) | name (pv:name)                      | Data Services                             |
| dept 41622 (prodi:dept-41622) | ID (pv:id)                          | 41622                                     |
| dept 41622 (prodi:dept-41622) | responsible for (pv:responsibleFor) | srv Y274 1029755 (prodi:srv-Y274-1029755) |
| dept 41622 (prodi:dept-41622) | responsible for (pv:responsibleFor) | hw Z272 2955088 (prodi:hw-Z272-2955088)   |
| dept 41622 (prodi:dept-41622) | responsible for (pv:responsibleFor) | hw A145 1240844 (prodi:hw-A145-1240844)   |
| dept 41622 (prodi:dept-41622) | responsible for (pv:responsibleFor) | hw C697 6765940 (prodi:hw-C697-6765940)   |
| dept 41622 (prodi:dept-41622) | responsible for (pv:responsibleFor) | hw D228 6993564 (prodi:hw-D228-6993564)   |
| dept 41622 (prodi:dept-41622) | responsible for (pv:responsibleFor) | hw D762 3837218 (prodi:hw-D762-3837218)   |
| ...                           | ...                                 | ...                                       |

[Assistant]
The properties used with the "Data Services" department do not include anything that obviously links to a manager. The only properties are type, label, name, ID, and responsible for (which links to products/services).

Since the property pv:hasManager is used for employees, perhaps the manager is an employee who is linked to the department in another way. I will check if there is a property that links employees to departments, such as "member of" (pv:memberOf), and see if there is a role or type indicating "manager."

I will list some triples where the property is pv:memberOf and the object is prodi:dept-41622 to see which employees are members of the Data Services department.

[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 have found a list of employees who are members of the Data Services department. To identify the manager, I need to check if any of these employees have a property indicating they are a manager, such as pv:hasManager or a type/class "Manager".

I will check the properties of one of these employees (for example, Wolfgang Martin) to see if there is any indication of a managerial role.

[Tool] Got no rows and 3 columns

[Assistant]
There are no properties listed for Wolfgang Martin. This could mean that the information is not available for this employee, or that the manager role is indicated differently.

To be thorough, I will check another employee (for example, Gretel Roth) to see if any properties indicate a managerial role.

[Tool] Got no rows and 3 columns

[Assistant]
There are no properties listed for Gretel Roth either. This suggests that employee entities may not have additional properties in the knowledge graph, or that the manager relationship is modeled differently.

Given that the property pv:hasManager exists and is described as linking employees to their managers, perhaps the manager of the department is simply the manager of the employees in that department. I will check if any of the employees in the Data Services department are referenced as a manager via pv:hasManager.

I will list some triples where the property is pv:hasManager to see how it is used and if any of the employees from Data Services are referenced as 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]
From the results, I see that for employees in the Data Services department, such as Wolfgang Martin and Gretel Roth, their manager is listed as Elena Herzog (empl-Elena.Herzog@company.org).

To confirm, I will check if Elena Herzog is also a member of the Data Services department, which would make it likely she is the manager of the department.

[Tool] Got no rows and 3 columns

[Assistant]
There are no additional properties for Elena Herzog, but based on the pattern in the data, Elena Herzog is the manager of multiple employees in the Data Services department.

Therefore, it is reasonable to conclude that Elena Herzog is the manager of the Data Services department.

Now, I will construct a SPARQL query to retrieve the manager of the Data Services department by:
- Finding employees who are members of the Data Services department.
- Getting their manager via pv:hasManager.
- Returning the unique manager(s).

I will also try to get the manager's label if available.

Here is the SPARQL query I will use:

[Tool]
Got 1 row and 2 columns:
| manager                                                                                | managerLabel |
| ------------------------------------------------------------------------------------------------------ | ------------ |
| empl Elena Herzog@company org (<http://ld.company.org/prod-instances/empl-Elena.Herzog%40company.org>) | Elena Herzog |

[Tool] Stopped generation process