PREFIX wdt: <http://www.wikidata.org/prop/direct/>
PREFIX wd: <http://www.wikidata.org/entity/>
SELECT ( COUNT( DISTINCT ?airport ) AS ?count ) ( GROUP_CONCAT( DISTINCT ?airport ; separator = ", " ) AS ?airports ) WHERE {
  ?airport wdt:P31 / wdt:P279 * wd:Q644371 .
  ?airport wdt:P131 + wd:Q1055 .
}

Using entities:
Hamburg (wd:Q1055), also known as Free and Hanseatic City of Hamburg, Hamburg, Freie und Hansestadt, Hamburg, Germany
international airport (wd:Q644371)

Using properties:
located in the administrative territorial entity (wd:P131 as wdt), also known as administrative territorial entity, administrative territory, city, happens in, in, etc.
subclass of (wd:P279 as wdt), also known as all members of this class also belong to, category of, form of, has superclass, is a class of, etc.
instance of (wd:P31 as wdt), also known as example of, has type, is a, is an, is of type, etc.

Got 1 row and 2 columns:
| count       | airports |
| ----------- | -------- |
| 1 (xsd:int) |          |

Answer: There is 1 international airport located within the city of Hamburg: wd:Q27706 (Hamburg Airport).

How many international airports are located within the city of Hamburg ?

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

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.

You have access to the following knowledge graphs:
wikidata at http://localhost:7001 without notes

You are provided with the following notes across all knowledge graphs:
No notes available

You can use the following SPARQL prefixes implicitly in all functions:
cc: <http://creativecommons.org/ns#
data: <https://www.wikidata.org/wiki/Special:EntityData/
dct: <http://purl.org/dc/terms/
geo: <http://www.opengis.net/ont/geosparql#
geof: <http://www.opengis.net/def/function/geosparql/
imdb: <https://www.imdb.com/
math: <http://www.w3.org/2005/xpath-functions/math#
ontolex: <http://www.w3.org/ns/lemon/ontolex#
owl: <http://www.w3.org/2002/07/owl#
p: <http://www.wikidata.org/prop/
pq: <http://www.wikidata.org/prop/qualifier/
pqn: <http://www.wikidata.org/prop/qualifier/value-normalized/
pqv: <http://www.wikidata.org/prop/qualifier/value/
pr: <http://www.wikidata.org/prop/reference/
prn: <http://www.wikidata.org/prop/reference/value-normalized/
prov: <http://www.w3.org/ns/prov#
prv: <http://www.wikidata.org/prop/reference/value/
ps: <http://www.wikidata.org/prop/statement/
psn: <http://www.wikidata.org/prop/statement/value-normalized/
psv: <http://www.wikidata.org/prop/statement/value/
qfn: <http://qlever.cs.uni-freiburg.de/function#
ql: <http://qlever.cs.uni-freiburg.de/builtin-functions/
qlss: <https://qlever.cs.uni-freiburg.de/spatialSearch/
rdf: <http://www.w3.org/1999/02/22-rdf-syntax-ns#
rdfs: <http://www.w3.org/2000/01/rdf-schema#
ref: <http://www.wikidata.org/reference/
s: <http://www.wikidata.org/entity/statement/
schema: <http://schema.org/
skos: <http://www.w3.org/2004/02/skos/core#
v: <http://www.wikidata.org/value/
wd: <http://www.wikidata.org/entity/
wdno: <http://www.wikidata.org/prop/novalue/
wdt: <http://www.wikidata.org/prop/direct/
wdtn: <http://www.wikidata.org/prop/direct-normalized/
wikibase: <http://wikiba.se/ontology#
xsd: <http://www.w3.org/2001/XMLSchema#
foaf: <http://xmlns.com/foaf/0.1/
dc: <http://purl.org/dc/elements/1.1/
gn: <http://www.geonames.org/ontology#
bd: <http://www.bigdata.com/rdf#
hint: <http://www.bigdata.com/queryHints#
qb: <http://purl.org/linked-data/cube#
void: <http://rdfs.org/ns/void#

You should follow these rules:
- Explain your thought process before and after each step and function call.
- Do not just use or make up entity or property identifiers without verifying their existence in the knowledge graphs first.
- 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.
- Always execute your final SPARQL query before giving an answer to make sure it returns the expected results.
- 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.
- 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.
- 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.
- For questions with a "True" or "False" answer the SPARQL query should be an ASK query.

[User] How many international airports are located within the city of Hamburg ?

[Assistant] Step 1: I'll search for the Hamburg entity in Wikidata to get its Q-id. Then I'll search for properties to identify airports located in Hamburg, and how "international airport" is represented (as an instance of a class or property). I'll run queries step by step and explain results.

[Tool]
Top 10 entity alternatives:
1. Hamburg (wd:Q1055), also known as Free and Hanseatic City of Hamburg, Hamburg, Freie und Hansestadt, Hamburg, Germany: is instance of urban municipality in Germany / is instance of Lists of former Hansa cities / is instance of Einheitsgemeinde of Germany / is instance of federated state of Germany / is instance of urban district of Hamburg / is instance of federal state of Germany / city and state in the North of Germany / is instance of Free imperial city / is instance of free imperial city / city and federal state in Germany / is instance of Hanseatic city / is instance of Metropolis / is instance of metropolis / is instance of city-state / is instance of port city / is instance of big city
2. Hamburger SV (wd:Q51974, matched via Hamburg), also known as Hamburg, Hamburger, Hamburger Sport-Verein, Hamburger S.V., HamburgerSV, etc.: German sports club based in Hamburg, with its largest branch being its football department / German professional sport club based in Hamburg, founded in 1887 / German professional sport club based in Hamburg, founded in 1887 / is instance of association football club / is instance of soccer club / is instance of sports club / is instance of sport club
3. Hamburg (wd:Q1005682), also known as Hamburg, Minnesota, Hamburg, MN: city in Carver County, Minnesota, United States / is instance of city in the United States / is instance of city of the United States
4. Hamburg (wd:Q998718), also known as Hamburg, IA, Hamburg, Iowa: city in Fremont County, Iowa, United States / city in Fremont County, Iowa, United States / is instance of city of the United States / is instance of city in the United States
5. Hamburg (wd:Q79657), also known as Hamburg, AR, Hamburg, Arkansas: city in Ashley County, Arkansas, United States / is instance of city of the United States / is instance of city in the United States
6. Hamburg (wd:Q1082931), also known as Hamburg, New Jersey, Hamburg, NJ: borough in Sussex County, New Jersey, United States / is instance of borough of New Jersey
7. Hamburg (wd:Q742785), also known as Hamburg, New York, Hamburg, NY: town in Erie County, New York, United States / is instance of town in the United States / is instance of town of New York
8. Hamburg (wd:Q2672139), also known as Hamburg, IL: village in Calhoun County, Illinois, United States / is instance of village of Illinois
9. Hamburg (wd:Q1181264), also known as Hamburg, PA, Hamburg, Pennsylvania: borough in Berks County, Pennsylvania, United States / is instance of borough of Pennsylvania
10. Hamburg (wd:Q939795), also known as Hamburgh: breed of chicken developed in Germany and Holland prior to 1700 / is instance of chicken breed / is subclass of chicken / is subclass of Chicken

[Assistant] I'll search for the Wikidata item for "airport" to use it as a class (instance of). Then I'll look for airports located in Hamburg and see which are international.

[Tool]
Top 10 entity alternatives:
1. airport (wd:Q1248784), also known as aerodrome, air port, airports: location where aircraft take off and land with extended support facilities, mostly for commercial air transport / location where aircraft take off and land / location where aircraft take off and land / is subclass of organisation / is subclass of organization / is subclass of aerodrome / is subclass of Aerodrome / is subclass of station
2. Airport (wd:Q409022): 1970 film directed by George Seaton / is instance of film
3. AirPort (wd:Q697292), also known as Apple AirPort: brand of wifi router equipment made by Apple Inc. / is instance of brand / Apple AirPort
4. Airport (wd:Q4698872), also known as Airport, CA, Airport, California: census-designated place in Stanislaus County, California, USA / is instance of census-designated place in the United States / is instance of census-designated place
5. Airport (wd:Q2604087): is instance of literary work / 1968 novel by Arthur Hailey
6. Kasese Airport (wd:Q6374123, matched via Airport), also known as Airport, HUKS, KSE: is instance of commercial traffic aerodrome / is instance of airport / airport in Uganda
7. Basongo Airport (wd:Q3339360, matched via airport), also known as airport, BAN, FZVR: airport in Democratic Republic of the Congo / is instance of airport
8. Airport (wd:Q11289474), also known as Rapid Airport: is instance of passenger train service / is instance of airport rail link / Rapid trains in Hokkaido, Japan / is instance of train service / is instance of rapid train
9. Bambili-Dingila Airport (wd:Q3206837, matched via airport), also known as Aéroport de Bambili-Dingila, airport, FZKB: airport in Democratic Republic of the Congo / is instance of aerodrome / is instance of Aerodrome
10. Airport (wd:Q4073688), also known as Airport Station: station on the RTA Red Line in Cleveland, Ohio, United States / is instance of airport railway station / is instance of underground station / is instance of metro station

[Assistant] I'll inspect the Hamburg item to confirm its Q-id and labels, then search for properties like "located in the administrative territorial entity" (P131) or "location" (P276) used for airports. I'll search for airports that have Hamburg as their location or are located in the administrative territorial entity Hamburg.

[Tool]
Got 1,592 rows and 3 columns, showing the first 10 rows below:
| subject            | property                                                    | object                                                                                |
| ------------------ | ----------------------------------------------------------- | --------------------------------------------------------------------------------------- |
| Hamburg (wd:Q1055) | instance of (wdt:P31)                                       | federated state of Germany (wd:Q1221156)                                                |
| Hamburg (wd:Q1055) | country (wdt:P17)                                           | Germany (wd:Q183)                                                                       |
| Hamburg (wd:Q1055) | located in the administrative territorial entity (wdt:P131) | Germany (wd:Q183)                                                                       |
| Hamburg (wd:Q1055) | coordinate location (wdt:P625)                              | POINT(10.000000 53.550000) (geo:wktLiteral)                                             |
| Hamburg (wd:Q1055) | Commons category (wdt:P373)                                 | Hamburg                                                                                |
| Hamburg (wd:Q1055) | image (wdt:P18)                                             | <http://commons.wikimedia.org/wiki/Special:FilePath/Landungsbr%C3%BCcken%20Hamburg.jpg> |
| Hamburg (wd:Q1055) | part of (wdt:P361)                                          | Hamburg Metropolitan Region (wd:Q3969)                                                  |
| Hamburg (wd:Q1055) | Freebase ID (wdt:P646)                                      | /m/03hrz                                                                                |
| Hamburg (wd:Q1055) | GeoNames ID (wdtn:P1566)                                    | <https://sws.geonames.org/2911298/>                                                     |
| Hamburg (wd:Q1055) | population (wdt:P1082)                                      | 1910160 (xsd:decimal)                                                                   |
| ...                | ...                                                         | ...                                                                                |

[Tool]
Top 10 entity alternatives:
1. international airport (wd:Q644371): airport serving international destinations / airport serving international destinations / airport serving international destinations / is subclass of airport
2. International Airport (wd:Q55614529): 1985 film directed by Don Chaffey / is instance of film
3. Domodedovo International Airport (wd:Q186614), also known as DME, Domodedovo Airport, Moscow Airport, Moscow Domodedovo Airport, Moscow-Domodedovo Airport, etc.: international airport serving Moscow, Russia / is instance of commercial traffic aerodrome / is instance of international airport / is instance of federal aeroport / airport in Russia / airport in Russia
4. John F. Kennedy International Airport (wd:Q8685, matched via Idlewild International Airport), also known as Idlewild Airport, Idlewild International Airport, JFK, JFK Airport, JFK International Airport, etc.: international airport in New York, United States / international airport in New York, United States / international airport in New York, United States / is instance of commercial traffic aerodrome / is instance of international airport
5. Sheremetyevo International Airport (wd:Q192733), also known as Moscow Airport, Moscow International Airport, Sheremetyevo Airport, SVO, UUEE: international airport serving Moscow, Russia / is instance of commercial traffic aerodrome / is instance of international airport / is instance of federal aeroport / is instance of airport
6. Istanbul-Atatürk (wd:Q86473, matched via Atatürk International Airport), also known as Atatürk International Airport, ISL, İstanbul Atatürk, Istanbul Ataturk Airport, Istanbul Atatürk Airport, etc.: is instance of commercial traffic aerodrome / international airport in Istanbul, Turkey / is instance of international airport
7. Singapore Changi Airport (wd:Q32159, matched via Changi International Airport), also known as Changi Airport, Changi Airport Singapore, Changi International Airport, SIN, WSSS: is instance of commercial traffic aerodrome / is instance of international airport / international airport in Singapore / international airport in Singapore / main airport in Singapore / main airport in Singapore / is instance of airport
8. Dubai International Airport (wd:Q193439), also known as DXB, OMDB: international airport in Dubai, United Arab Emirates / is instance of commercial traffic aerodrome / is instance of international airport / airport in United Arab Emirates / airport in United Arab Emirates
9. Tokyo International Airport (wd:Q204853), also known as Haneda Airport, HND, RJTT: is instance of commercial traffic aerodrome / international airport serving Tokyo, Japan / is instance of international airport / is instance of airport
10. O'Hare International Airport (wd:Q213717), also known as Chicago Airport, Chicago International Airport, Chicago O'Hare Field, Chicago O'Hare International Airport, Chicago Orchard Airport, etc.: is instance of commercial traffic aerodrome / airport in Chicago, Illinois, United States / is instance of international airport / airport in Chicago, IL, US / airport in Chicago, IL, US / is instance of airport

[Assistant] We have "international airport" as wd:Q644371. Next, find airports that are located in Hamburg (wd:Q1055) and are instance of international airport (wd:Q644371). I'll run a query to find items with instance of (P31) international airport and located in the administrative territorial entity (P131) Hamburg, or with location (P276) Hamburg, or coordinate within Hamburg. Start with P131.

[Tool] Got no rows and 2 columns

[Tool] Got no rows and 2 columns

[Tool]
Top 10 entity alternatives:
1. Hamburg Airport (wd:Q27706), also known as EDDH, HAM, Hamburg Airport “Helmut Schmidt”, Hamburg-Fuhlsbüttel Airport: airport in Fuhlsbüttel, Hamburg, Germany / is instance of international airport / is instance of commercial airport
2. Hamburg Finkenwerder Airport (wd:Q663819), also known as Airbus Hamburg-Finkenwerder, EDHI, Finkenwerder Airport, XFW: aircraft manufacturing plant and associated private airport in the Finkenwerder quarter of southwest Hamburg, Germany / aircraft manufacturing plant and private airport in Germany / is instance of German special airfield / is instance of factory / is instance of Factory
3. Hamburg Airport station (wd:Q5644290): is instance of underground railway station / is instance of dead-end railway station / is instance of airport railway station / is instance of Bahnhof (station) / is instance of dead-end station / is instance of S-Bahn station / railway station in Germany
4. Hamburg Airport Classics (wd:Q1572874)
5. Hamburg Inc Airport (wd:Q34959585), also known as 4G2, Hamburg Inc Aerodrome: is instance of Aerodrome / is instance of aerodrome / is instance of airport
6. Hamburg : Airport (wd:Q104725193), also known as A9 n35_Sm2: is instance of PM20 country/subject folder / folder of the 20th Century Press Archives
7. Novo Hamburgo Airport (wd:Q12694211), also known as SSNH: is instance of airport / airport in Brazil / airport in Brazil / Brazilian airport
8. Hamburg Airport S-Bahn line (wd:Q1430696): is instance of airport rail link / is instance of railway tunnel / is instance of railway line / railway line in Germany
9. Hamburg : Airport, individual (wd:Q104725196), also known as A9 n35_Sm2.II: is instance of PM20 country/subject folder / folder of the 20th Century Press Archives
10. Hamburg : Airport, general (wd:Q104725195), also known as A9 n35_Sm2.I: is instance of PM20 country/subject folder / folder of the 20th Century Press Archives

[Assistant] We found Hamburg Airport (Q27706) which is instance of international airport. There may be other international airports in the city of Hamburg — e.g., Finkenwerder is private, not international. Maybe only Hamburg Airport (Fuhlsbüttel) is international. But the user asked "How many international airports are located within the city of Hamburg?" So need count. Approach: count items with instance of (P31) international airport (wd:Q644371) and located in administrative territorial entity Hamburg (P131 wd:Q1055) or with located in the city (P291?) Also consider airports that are subclasses of airport and instance of international airport via P31/P279*. Let's search for items that are instance of international airport or subclass of international airport and located in Hamburg or with coordinates within Hamburg boundary — harder. Start by searching for airports located in Hamburg using P131 and then filter instance of international airport.

[Tool]
Got 2 rows and 3 columns:
| airport                                   | airportLabel                     | instance                        |
| ----------------------------------------- | -------------------------------- | ------------------------------- |
| Hamburg Airport S-Bahn line (wd:Q1430696) | Hamburg Airport S-Bahn line (en) | airport rail link (wd:Q1192191) |
| S1 (wd:Q19377130)                         | S1 (en)                          | airport rail link (wd:Q1192191) |

[Tool]
Got 402 rows and 3 columns, showing the first 10 rows below:
| subject                     | property                                                    | object                                                                                |
| --------------------------- | ----------------------------------------------------------- | -------------------------------------------------------------------------------------- |
| Hamburg Airport (wd:Q27706) | instance of (wdt:P31)                                       | commercial airport (wd:Q21836433)                                                      |
| Hamburg Airport (wd:Q27706) | country (wdt:P17)                                           | Germany (wd:Q183)                                                                      |
| Hamburg Airport (wd:Q27706) | located in the administrative territorial entity (wdt:P131) | Hamburg-Nord (wd:Q1627)                                                                |
| Hamburg Airport (wd:Q27706) | coordinate location (wdt:P625)                              | POINT(9.988228 53.630389) (geo:wktLiteral)                                             |
| Hamburg Airport (wd:Q27706) | Commons category (wdt:P373)                                 | Hamburg Airport                                                                        |
| Hamburg Airport (wd:Q27706) | image (wdt:P18)                                             | <http://commons.wikimedia.org/wiki/Special:FilePath/Hamburg%20airport%20terminals.jpg> |
| Hamburg Airport (wd:Q27706) | Freebase ID (wdt:P646)                                      | /m/03n4g6                                                                              |
| Hamburg Airport (wd:Q27706) | location (wdt:P276)                                         | Fuhlsbüttel (wd:Q1163)                                                                 |
| Hamburg Airport (wd:Q27706) | GeoNames ID (wdtn:P1566)                                    | <https://sws.geonames.org/3208174/>                                                    |
| Hamburg Airport (wd:Q27706) | inception (wdt:P571)                                        | 1911-01-01T00:00:00Z (xsd:dateTime)                                                    |
| ...                         | ...                                                         | ...                                                                                |

[Tool]
Got 2 rows and 2 columns:
| instance                           | instanceLabel              |
| ---------------------------------- | -------------------------- |
| commercial airport (wd:Q21836433)  | commercial airport (en)    |
| international airport (wd:Q644371) | international airport (en) |

[Assistant] Hamburg Airport (Q27706) explicitly has instance of international airport. It is located in Hamburg-Nord (Q1627), which is a borough within Hamburg, so P131 is Hamburg-Nord, not Hamburg (Q1055). We need to consider locations within the city of Hamburg, meaning administrative territorial entity within Hamburg (either directly P131 wd:Q1055 or nested). So we should find airports that are located in an administrative territorial entity that is part of Hamburg (i.e., P131 chain up to Q1055) or have coordinates within Hamburg. Easiest: find airports whose P131 is a subdivision of Hamburg (part of Hamburg). Use property "located in the administrative territorial entity" with wd:Q1055 as value or whose P131* leads to an entity that is part of Hamburg via P131 chain. In SPARQL, we can traverse P131+ to check ?airport wdt:P131+ wd:Q1055. Let's search for items that are instance of international airport and have wdt:P131+ wd:Q1055.

[Tool]
Got 1 row and 2 columns:
| airport                     | airportLabel         |
| --------------------------- | -------------------- |
| Hamburg Airport (wd:Q27706) | Hamburg Airport (en) |

[Assistant] Now I'll run a final SPARQL query that (1) finds items that are instances (or instances of subclasses) of "international airport" (wd:Q644371) and (2) are located in (P131+) the city of Hamburg (wd:Q1055). The query returns a count and the IRIs of the matching airports. I'll execute it to get the exact number.

[Tool]
Got 1 row and 2 columns:
| count       | airports |
| ----------- | -------- |
| 1 (xsd:int) |          |

[Assistant] The query returns count 1 and the airports group concat is empty because of how IRIs are returned; but count is 1. To comply with the rule that query should return actual identifiers/IRIs, include ?airport in results (not grouped) or return them optionally. I'll run a query listing the airport(s) along with labels and then do a count.

[Tool]
Got 1 row and 2 columns:
| airport                     | airportLabel         |
| --------------------------- | -------------------- |
| Hamburg Airport (wd:Q27706) | Hamburg Airport (en) |

[Assistant] I have verified the result. I'll prepare the final answer: SPARQL query and the answer that there is 1 international airport located within the city of Hamburg, listing its IRI. Now I'll call the answer tool with the final SPARQL query and state the result.

[Tool] Stopping


PREFIX wdt: <http://www.wikidata.org/prop/direct/>
PREFIX wd: <http://www.wikidata.org/entity/>
PREFIX rdfs: <http://www.w3.org/2000/01/rdf-schema#>
SELECT ?item ?itemLabel ?discoveryDate WHERE {
  BIND( wd:Q15787 AS ?item ) .
  ?item wdt:P575 ?discoveryDate .
  OPTIONAL {
    ?item rdfs:label ?itemLabel .
    FILTER ( LANG( ?itemLabel ) = "en" )
  }
}

Using entities:
HIV (wd:Q15787), also known as AIDS virus, human immunodeficiency virus

Using properties:
time of discovery or invention (wd:P575 as wdt), also known as date discovered, date of discovery, date of invention, discovered, discovered on, etc.

Answer: The human immunodeficiency virus (HIV) was first identified in 1983 (Wikidata: time of discovery/invention = 1983-01-01).

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

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.

You have access to the following knowledge graphs:
wikidata at http://localhost:7001 without notes

You are provided with the following notes across all knowledge graphs:
No notes available

You can use the following SPARQL prefixes implicitly in all functions:
cc: <http://creativecommons.org/ns#
data: <https://www.wikidata.org/wiki/Special:EntityData/
dct: <http://purl.org/dc/terms/
geo: <http://www.opengis.net/ont/geosparql#
geof: <http://www.opengis.net/def/function/geosparql/
imdb: <https://www.imdb.com/
math: <http://www.w3.org/2005/xpath-functions/math#
ontolex: <http://www.w3.org/ns/lemon/ontolex#
owl: <http://www.w3.org/2002/07/owl#
p: <http://www.wikidata.org/prop/
pq: <http://www.wikidata.org/prop/qualifier/
pqn: <http://www.wikidata.org/prop/qualifier/value-normalized/
pqv: <http://www.wikidata.org/prop/qualifier/value/
pr: <http://www.wikidata.org/prop/reference/
prn: <http://www.wikidata.org/prop/reference/value-normalized/
prov: <http://www.w3.org/ns/prov#
prv: <http://www.wikidata.org/prop/reference/value/
ps: <http://www.wikidata.org/prop/statement/
psn: <http://www.wikidata.org/prop/statement/value-normalized/
psv: <http://www.wikidata.org/prop/statement/value/
qfn: <http://qlever.cs.uni-freiburg.de/function#
ql: <http://qlever.cs.uni-freiburg.de/builtin-functions/
qlss: <https://qlever.cs.uni-freiburg.de/spatialSearch/
rdf: <http://www.w3.org/1999/02/22-rdf-syntax-ns#
rdfs: <http://www.w3.org/2000/01/rdf-schema#
ref: <http://www.wikidata.org/reference/
s: <http://www.wikidata.org/entity/statement/
schema: <http://schema.org/
skos: <http://www.w3.org/2004/02/skos/core#
v: <http://www.wikidata.org/value/
wd: <http://www.wikidata.org/entity/
wdno: <http://www.wikidata.org/prop/novalue/
wdt: <http://www.wikidata.org/prop/direct/
wdtn: <http://www.wikidata.org/prop/direct-normalized/
wikibase: <http://wikiba.se/ontology#
xsd: <http://www.w3.org/2001/XMLSchema#
foaf: <http://xmlns.com/foaf/0.1/
dc: <http://purl.org/dc/elements/1.1/
gn: <http://www.geonames.org/ontology#
bd: <http://www.bigdata.com/rdf#
hint: <http://www.bigdata.com/queryHints#
qb: <http://purl.org/linked-data/cube#
void: <http://rdfs.org/ns/void#

You should follow these rules:
- Explain your thought process before and after each step and function call.
- Do not just use or make up entity or property identifiers without verifying their existence in the knowledge graphs first.
- 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.
- Always execute your final SPARQL query before giving an answer to make sure it returns the expected results.
- 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.
- 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.
- 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.
- For questions with a "True" or "False" answer the SPARQL query should be an ASK query.

[User] When was HIV first identified?

[Assistant] I'll search Wikidata for the entity corresponding to "HIV" / "human immunodeficiency virus" to find its item and properties about discovery/identification (such as date of discovery or first identified). I'll explain each step and run searches to verify properties before building the final SPARQL query.

[Tool]
Top 10 entity alternatives:
1. HIV (wd:Q15787, matched via human immunodeficiency virus), also known as AIDS virus, human immunodeficiency virus: is instance of class of organisms known by one particular common name / is instance of organisms known by a particular common name / human retrovirus, cause of AIDS / human retrovirus, cause of AIDS / human retrovirus, cause of AIDS
2. Human immunodeficiency virus (wd:Q41937066): scientific article published on November 1992 / scientific article published on November 1992 / scientific article published on November 1992 / is instance of scholarly article / is instance of academic article
3. Human immunodeficiency virus (wd:Q36186707): is instance of scholarly article / is instance of academic article / scientific article
4. Human Immunodeficiency Virus (wd:Q57950967): is instance of scholarly article / is instance of academic article
5. [Human immunodeficiency virus] (wd:Q67914904): scientific article published on 01 January 1992 / is instance of scholarly article / is instance of academic article
6. Human Immunodeficiency Virus (wd:Q61439965): is instance of scholarly article / is instance of academic article
7. Human Immunodeficiency Virus (wd:Q53766878): is instance of scholarly article / is instance of academic article / scientific article
8. Human immunodeficiency virus (wd:Q88850228): scientific article published on 01 November 2016 / scientific article published in November 2016 / scientific article published in November 2016 / is instance of scholarly article / is instance of academic article
9. Human immunodeficiency virus (wd:Q72263466): scientific article published on 01 June 1995 / is instance of scholarly article / is instance of academic article
10. Human immunodeficiency virus (wd:Q68589168): scientific article published on 01 September 1990 / is instance of scholarly article / is instance of academic article

[Assistant] I'll search for properties of the HIV item related to discovery, identification, first described, or date of discovery. I'll look for properties like "discovered", "described by", "discovery date", "identified" on the HIV item.

[Tool]
Top 10 property alternatives:
1. time of discovery or invention (wd:P575 as p/wdt, matched via discovered), also known as date discovered, date of discovery, date of invention, discovered, discovered on, etc.: date or point in time when the item was discovered or invented / when the item was discovered
2. has part(s) (wd:P527 as p/wdt, matched via contain), also known as amalgamation of, assembled from, assembled out of, composed of, comprised of, etc.: part of this subject; inverse property of "part of" (P361). See also "has parts of the class" (P2670). / part of this subject; inverse property of "part of" (P361). See also "has parts of the class" (P2670). / part of this subject, also valuable subclass or exemplar. Inverse property of "part of".
3. described by source (wd:P1343 as p/wdt, matched via found in), also known as defined in, described by biography, described by encyclopedia, described by obituary, described by reference work, etc.: dictionary, encyclopaedia, etc. where this item is described / work where this item is described / is subproperty of attested in
4. external data available at URL (wd:P1325 as p/wdt, matched via data), also known as data, external data URL, URL with external data, P1325: URL where external data on this item can be found / URL where external data on this item can be found
5. ScienceDirect topic ID (wd:P10376 as p/wdt, matched via Science Direct topic identifier), also known as Science Direct topic ID, Science Direct topic identifier, ScienceDirect topic identifier, P10376: identifier for a topic on the research publication website ScienceDirect / identifier for a topic on the research publication website ScienceDirect
6. facet of (wd:P1269 as p/wdt, matched via topic of), also known as aspect of, main topic, section in, subitem of, subject in, etc.: topic of which this item is an aspect, item that offers a broader perspective on the same topic / topic of which this item is an aspect, item that offers a broader perspective on the same topic / topic of which this item is an aspect; item that offers a broader perspective on the same topic
7. has effect (wd:P1542 as p/wdt, matched via result), also known as caused, cause of, causes, consequence, effect, etc.: is subproperty of followed by / effect of this item
8. Commons category (wd:P373 as p/wdt, matched via category Commons), also known as category Commons, category on Commons, category on Wikimedia Commons, category Wikipedia Commons, commonscat, etc.: name of the Wikimedia Commons category containing files related to this item (without the prefix "Category:") / name of the Wikimedia Commons category containing files related to this item (without the prefix "Category") / name of the Wikimedia Commons category containing files related to this item (without the prefix "Category")
9. instance of (wd:P31 as p/wdt, matched via type), also known as example of, has type, is a, is an, is of type, etc.: type to which this subject corresponds/belongs. Different ... and the volcano is a type (instance) of volcanic landform / that class of which this subject is a particular example and ... a subclass of mountain (and an instance of volcanic landform)
10. KBpedia ID (wd:P8408 as p/wdtn/wdt, matched via kbpedia), also known as kbpedia, Kbpedia, KBpedia, KBpedia knowledge graph, KBpedia ontology, etc.: identifier for the KBpedia knowledge graph, which provides ... and extraction of training sets for machine learning

No other items found

[Assistant] I'll check whether wd:Q15787 (HIV) has a "time of discovery or invention" (wdt:P575) statement, and whether other relevant date properties exist. I'll list triples for that property on the HIV item.

[Tool]
Got 1 row and 3 columns:
| subject         | property                                  | object                              |
| --------------- | ----------------------------------------- | ----------------------------------- |
| HIV (wd:Q15787) | time of discovery or invention (wdt:P575) | 1983-01-01T00:00:00Z (xsd:dateTime) |

[Assistant] I'll run a SPARQL query that retrieves the Wikidata item for HIV (wd:Q15787) and its "time of discovery or invention" (wdt:P575) plus the English label, to confirm the date it was first identified. I'll execute the query now.

[Tool]
Got 1 row and 3 columns:
| item            | itemLabel | discoveryDate                       |
| --------------- | --------- | ----------------------------------- |
| HIV (wd:Q15787) | HIV (en)  | 1983-01-01T00:00:00Z (xsd:dateTime) |

[Assistant] I'll now finalize by returning the SPARQL query I used and the answer determined from its results. The query binds the HIV item (wd:Q15787) and retrieves its 'time of discovery or invention' (wdt:P575) and English label. I ran this query earlier and it returned 1983-01-01 as the discovery date. I'll provide the query and the concise answer.

[Tool] Stopping


PREFIX wdt: <http://www.wikidata.org/prop/direct/>
PREFIX wd: <http://www.wikidata.org/entity/>
PREFIX rdfs: <http://www.w3.org/2000/01/rdf-schema#>
SELECT DISTINCT ?developer ?developerLabel WHERE {
  {
    wd:Q533822 wdt:P178 ?developer
  } UNION {
    wd:Q533822 wdt:P170 ?developer
  } UNION {
    wd:Q533822 wdt:P50 ?developer
  }
  OPTIONAL {
    ?developer rdfs:label ?developerLabel .
    FILTER ( LANG( ?developerLabel ) = "en" )
  }
}

Using entities:
WordNet (wd:Q533822), also known as Princeton WordNet

Using properties:
creator (wd:P170 as wdt), also known as art by, artist (non-musical), art work by, artwork by, by, etc.
developer (wd:P178 as wdt), also known as created by, dev, developed by, game dev, game developer, etc.
author (wd:P50 as wdt), also known as co-author, creator, maker, playwright, poet, etc.

Answer: Wikidata lists Christiane Fellbaum (wd:Q4558744) as the developer of WordNet.

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

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.

You have access to the following knowledge graphs:
wikidata at http://localhost:7001 without notes

You are provided with the following notes across all knowledge graphs:
No notes available

You can use the following SPARQL prefixes implicitly in all functions:
cc: <http://creativecommons.org/ns#
data: <https://www.wikidata.org/wiki/Special:EntityData/
dct: <http://purl.org/dc/terms/
geo: <http://www.opengis.net/ont/geosparql#
geof: <http://www.opengis.net/def/function/geosparql/
imdb: <https://www.imdb.com/
math: <http://www.w3.org/2005/xpath-functions/math#
ontolex: <http://www.w3.org/ns/lemon/ontolex#
owl: <http://www.w3.org/2002/07/owl#
p: <http://www.wikidata.org/prop/
pq: <http://www.wikidata.org/prop/qualifier/
pqn: <http://www.wikidata.org/prop/qualifier/value-normalized/
pqv: <http://www.wikidata.org/prop/qualifier/value/
pr: <http://www.wikidata.org/prop/reference/
prn: <http://www.wikidata.org/prop/reference/value-normalized/
prov: <http://www.w3.org/ns/prov#
prv: <http://www.wikidata.org/prop/reference/value/
ps: <http://www.wikidata.org/prop/statement/
psn: <http://www.wikidata.org/prop/statement/value-normalized/
psv: <http://www.wikidata.org/prop/statement/value/
qfn: <http://qlever.cs.uni-freiburg.de/function#
ql: <http://qlever.cs.uni-freiburg.de/builtin-functions/
qlss: <https://qlever.cs.uni-freiburg.de/spatialSearch/
rdf: <http://www.w3.org/1999/02/22-rdf-syntax-ns#
rdfs: <http://www.w3.org/2000/01/rdf-schema#
ref: <http://www.wikidata.org/reference/
s: <http://www.wikidata.org/entity/statement/
schema: <http://schema.org/
skos: <http://www.w3.org/2004/02/skos/core#
v: <http://www.wikidata.org/value/
wd: <http://www.wikidata.org/entity/
wdno: <http://www.wikidata.org/prop/novalue/
wdt: <http://www.wikidata.org/prop/direct/
wdtn: <http://www.wikidata.org/prop/direct-normalized/
wikibase: <http://wikiba.se/ontology#
xsd: <http://www.w3.org/2001/XMLSchema#
foaf: <http://xmlns.com/foaf/0.1/
dc: <http://purl.org/dc/elements/1.1/
gn: <http://www.geonames.org/ontology#
bd: <http://www.bigdata.com/rdf#
hint: <http://www.bigdata.com/queryHints#
qb: <http://purl.org/linked-data/cube#
void: <http://rdfs.org/ns/void#

You should follow these rules:
- Explain your thought process before and after each step and function call.
- Do not just use or make up entity or property identifiers without verifying their existence in the knowledge graphs first.
- 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.
- Always execute your final SPARQL query before giving an answer to make sure it returns the expected results.
- 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.
- 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.
- 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.
- For questions with a "True" or "False" answer the SPARQL query should be an ASK query.

[User] Who developed WordNet?

[Assistant] I will first search Wikidata for the entity corresponding to "WordNet" to get its Q-ID. I'll call the entity search tool now.

[Tool]
Top 10 entity alternatives:
1. WordNet (wd:Q533822), also known as Princeton WordNet: Princeton University's computational lexicon of English, a ... connected by hypernymy, hyponymy, holonymy, meronymy, etc. / is instance of lexical database
2. word net (wd:Q2594143, matched via wordnet), also known as wordnet: network of words connected by semantic relationships (synonyms, antonyms, hypernyms, hyponyms, meronyms, holonyms) / is subclass of semantic network / is subclass of thesaurus
3. WordNet (wd:Q125949755): is instance of edited volume
4. WordNet: An Electronic Lexical Database (wd:Q35839029, matched via WordNet), also known as WordNet, WordNet.  An  Electronic Lexical Database: book edition published in 1998 with Fellbaum as editor / is instance of version, edition or translation
5. WordNet (wd:Q98000414): is instance of scholarly article / is instance of academic article / chapter in book from 2010
6. Arabic WordNet (wd:Q28136431), also known as AWN: is instance of word net
7. Malayalam WordNet (wd:Q25112033): is instance of dictionary of the Malayalam language / WordNet for Malayalam language by CUSAT / is instance of word net
8. Estonian Wordnet (wd:Q31277898): is instance of word net
9. GF WordNet (wd:Q112258758): a lexical resource which combines WordNet resources from many languages and makes them compatible within GF / is instance of lexicographic database / is instance of free software
10. WordNet Search (wd:Q113530715): website for searching the WordNet computational lexicon / is instance of website

[Assistant] I'll list statements for the WordNet item to find properties indicating who developed it (e.g., developer, creator, author). I'll fetch triples with the item as subject.

[Tool]
Got 271 rows and 3 columns, showing the first 10 rows below:
| subject              | property                                 | object                                                           |
| -------------------- | ---------------------------------------- | ---------------------------------------------------------------- |
| WordNet (wd:Q533822) | instance of (wdt:P31)                    | lexical database (wd:Q6537693)                                   |
| WordNet (wd:Q533822) | language of work or name (wdt:P407)      | English (wd:Q1860)                                               |
| WordNet (wd:Q533822) | full work available online at (wdt:P953) | <https://wordnet.princeton.edu/download/current-version>         |
| WordNet (wd:Q533822) | image (wdt:P18)                          | <http://commons.wikimedia.org/wiki/Special:FilePath/WordNet.PNG> |
| WordNet (wd:Q533822) | Freebase ID (wdt:P646)                   | /m/0861s                                                         |
| WordNet (wd:Q533822) | copyright status (wdt:P6216)             | copyrighted (wd:Q50423863)                                       |
| WordNet (wd:Q533822) | inception (wdt:P571)                     | 1998-01-01T00:00:00Z (xsd:dateTime)                              |
| WordNet (wd:Q533822) | VIAF cluster ID (wdtn:P214)              | <http://viaf.org/viaf/179937683>                                 |
| WordNet (wd:Q533822) | GND ID (wdtn:P227)                       | <https://d-nb.info/gnd/4392196-6>                                |
| WordNet (wd:Q533822) | described by source (wdt:P1343)          | WordNet: An Electronic Lexical Database (wd:Q35839029)           |
| ...                  | ...                                      | ...                                                              |

[Assistant] I'll search for properties of WordNet related to "author", "developer", and "creator" to find who developed it.

[Tool]
Top 10 property alternatives:
1. developer (wd:P178 as p/wdt), also known as created by, dev, developed by, game dev, game developer, etc.: organisation or person that developed this item / organization or person that developed the item / is subproperty of creator
2. used by (wd:P1535 as p/wdt, matched via user), also known as armiger, of, played by, user, P1535: item or concept that makes use of the subject (use sub-properties when appropriate) / item or concept that makes use of the subject (use sub-properties when appropriate)
3. software version identifier (wd:P348 as p/wdt, matched via version), also known as application release identifier, application release number, application update, application update identifier, application update number, etc.: numeric or nominal identifier of a version of a software program or file format, current or past / numeric or nominal identifier of a version of a software program or file format, current or past / numeric or symbolic identifier(s) of versions of a software or file format, current and past / is subproperty of has edition or translation / is subproperty of edition number / is subproperty of edition
4. inception (wd:P571 as p/wdt, matched via constructed), also known as broke ground, built, commenced on date, commencement date, completed, etc.: time when an entity begins to exist; for date of official opening use P1619 / time when an entity begins to exist; for date of official opening use P1619 / date or point in time when the organisation / object was founded / created / is subproperty of start time
5. official website (wd:P856 as p/wdt, matched via homepage), also known as home page, homepage, home page (official), homepage (official), official homepage, etc.: URL of the official page of an item (current or former). ... see the "Hijacked or dead websites" section of the Talk page / is subproperty of URL
6. described by source (wd:P1343 as p/wdt, matched via entry), also known as defined in, described by biography, described by encyclopedia, described by obituary, described by reference work, etc.: dictionary, encyclopaedia, etc. where this item is described / work where this item is described / is subproperty of attested in
7. Microsoft Academic ID (wd:P6366 as p/wdtn/wdt, matched via MAG), also known as Academic ID, academic.microsoft, MAG, MAG ID, Microsoft Academic Author ID, etc.: identifier for an object or topic in the Microsoft Academic Graph (until 31 December 2021) / identifier for an object in the Microsoft Academic Graph
8. image (wd:P18 as p/wdt, matched via drawing), also known as camera picture, Commons image, drawing, File:, graph, etc.: image of relevant illustration of the subject; if available, ... only images which exist on Wikimedia Commons are acceptable / image of relevant illustration of the subject; if available, ... only images which exist on Wikimedia Commons are acceptable / image of relevant illustration of the subject; if available, ... map, flag image, signature image, logo image, collage image) / image of relevant illustration of the subject; if available, ... map, flag image, signature image, logo image, collage image)
9. instance of (wd:P31 as p/wdt, matched via type), also known as example of, has type, is a, is an, is of type, etc.: type to which this subject corresponds/belongs. Different ... and the volcano is a type (instance) of volcanic landform / that class of which this subject is a particular example and ... a subclass of mountain (and an instance of volcanic landform)
10. KBpedia ID (wd:P8408 as p/wdtn/wdt, matched via kbpedia), also known as kbpedia, Kbpedia, KBpedia, KBpedia knowledge graph, KBpedia ontology, etc.: identifier for the KBpedia knowledge graph, which provides ... and extraction of training sets for machine learning

No other items found

[Assistant] I'll list triples for properties like developer (P178), author (P50), creator (P170), and inception to see which are present.

[Tool] Got no rows and 3 columns

[Assistant] No direct P170 (creator) statements. I'll check P178 (developer) and P50 (author).

[Tool]
Got 1 row and 3 columns:
| subject              | property             | object                            |
| -------------------- | -------------------- | --------------------------------- |
| WordNet (wd:Q533822) | developer (wdt:P178) | Christiane Fellbaum (wd:Q4558744) |

[Tool] Got no rows and 3 columns

[Assistant] I'll search for George A. Miller in Wikidata to see if he is linked to WordNet.

[Tool]
Top 10 entity alternatives:
1. George Armitage Miller (wd:Q670658, matched via George A. Miller), also known as George A. Miller, George Miller: has occupation university teacher / American psychologist (1920–2012) / has occupation psychologist / is instance of human
2. George Arthur Miller (wd:Q2495778): British polo player (1867–1935) / has occupation polo player / is instance of human
3. George Abram Miller (wd:Q1506815), also known as G. A. Miller: has occupation historian of mathematics / American mathematician (1863–1951) / has occupation university teacher / has occupation mathematician / is instance of human
4. George Alfred Miller (wd:Q118153037): graduated from University of Washington with a Ph. D. in Sociology / is instance of human
5. George Miller Armstrong (wd:Q21505333), also known as G.M.Armstr., G. M. Armstrong: American botanist and plant pathologist (1893-1986) / has occupation botanical collector / has occupation phytopathologist / has occupation botanist / is instance of human
6. George A. Miller (1920-2012). (wd:Q30353436): is instance of scholarly article / is instance of academic article / scientific article
7. George Albert Miller (wd:Q94487076): is instance of human
8. George Miller Andrews (wd:Q75636713), also known as George Andrews: Peerage person ID=262014 / is instance of human
9. Alf Miller (wd:Q23461809, matched via Alfred George Abraham Miller), also known as Alfred George Abraham Miller: has occupation association football player / association football player (1917-1999) / has occupation soccer player / is instance of human
10. George Augustus Miller Jr. (wd:Q62592140): has occupation armourer / has occupation engineer / has occupation Armourer / has occupation inventor / is instance of human / 1894-1983 , armorer

[Assistant] I'll list the statements for George Armitage Miller to find his role in developing WordNet.

[Tool]
Got 406 rows and 3 columns, showing the first 10 rows below:
| subject                             | property                               | object                              |
| ----------------------------------- | -------------------------------------- | ----------------------------------- |
| George Armitage Miller (wd:Q670658) | instance of (wdt:P31)                  | human (wd:Q5)                       |
| George Armitage Miller (wd:Q670658) | occupation (wdt:P106)                  | psychologist (wd:Q212980)           |
| George Armitage Miller (wd:Q670658) | sex or gender (wdt:P21)                | male (wd:Q6581097)                  |
| George Armitage Miller (wd:Q670658) | given name (wdt:P735)                  | George (wd:Q15921732)               |
| George Armitage Miller (wd:Q670658) | Google Knowledge Graph ID (wdtn:P2671) | <http://g.co/kg/g/11frnk0fch>       |
| George Armitage Miller (wd:Q670658) | date of birth (wdt:P569)               | 1920-02-03T00:00:00Z (xsd:dateTime) |
| George Armitage Miller (wd:Q670658) | family name (wdt:P734)                 | Miller (wd:Q1605060)                |
| George Armitage Miller (wd:Q670658) | country of citizenship (wdt:P27)       | United States (wd:Q30)              |
| George Armitage Miller (wd:Q670658) | Freebase ID (wdt:P646)                 | /m/022fkc                           |
| George Armitage Miller (wd:Q670658) | VIAF cluster ID (wdtn:P214)            | <http://viaf.org/viaf/29595505>     |
| ...                                 | ...                                    | ...                                 |

[Assistant] I'll run a SPARQL query against Wikidata asking for the developer (wdt:P178) of WordNet (wd:Q533822). The query will return the developer entity IRI and, optionally, its English label using rdfs:label. Now I'll execute the query.

[Tool]
Got 1 row and 2 columns:
| developer                         | developerLabel           |
| --------------------------------- | ------------------------ |
| Christiane Fellbaum (wd:Q4558744) | Christiane Fellbaum (en) |

[Assistant] I'll check whether George Armitage Miller (wd:Q670658) is linked to WordNet (wd:Q533822) by any property in Wikidata. I'll run a query to find predicates between them.

[Tool] Got no rows and 1 columns

[Assistant] I'll now run a final SPARQL query that returns the developer(s) of WordNet (wd:Q533822). The query looks for developer (P178), creator (P170) and author (P50) to be thorough, and also returns the English rdfs:label for any developer found. After the query I'll report the result (the person(s) who developed WordNet according to Wikidata) and their Wikidata IRI.

[Tool] Stopping


PREFIX wdt: <http://www.wikidata.org/prop/direct/>
PREFIX wd: <http://www.wikidata.org/entity/>
SELECT ?highest WHERE {
  wd:Q20 wdt:P610 ?highest .
}

Using entities:
Norway (wd:Q20), also known as Kingdom of Norway

Using properties:
highest point (wd:P610 as wdt), also known as elevation of highest point, extreme point highest, highest peak, pinnacle, summit, etc.

Answer:
Steps and reasoning:
1) I located the Wikidata item for Norway: wd:Q20.
2) I searched for a property matching "highest point" and found P610 (highest point).
3) I queried wd:Q20 wdt:P610 ?highest to get the highest point of Norway.

Query result: ?highest = wd:Q203942, which is Galdhøpiggen.

Final answer: The highest point of Norway is Galdhøpiggen (wd:Q203942).

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

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.

You have access to the following knowledge graphs:
wikidata at http://localhost:7001 without notes

You are provided with the following notes across all knowledge graphs:
No notes available

You can use the following SPARQL prefixes implicitly in all functions:
cc: <http://creativecommons.org/ns#
data: <https://www.wikidata.org/wiki/Special:EntityData/
dct: <http://purl.org/dc/terms/
geo: <http://www.opengis.net/ont/geosparql#
geof: <http://www.opengis.net/def/function/geosparql/
imdb: <https://www.imdb.com/
math: <http://www.w3.org/2005/xpath-functions/math#
ontolex: <http://www.w3.org/ns/lemon/ontolex#
owl: <http://www.w3.org/2002/07/owl#
p: <http://www.wikidata.org/prop/
pq: <http://www.wikidata.org/prop/qualifier/
pqn: <http://www.wikidata.org/prop/qualifier/value-normalized/
pqv: <http://www.wikidata.org/prop/qualifier/value/
pr: <http://www.wikidata.org/prop/reference/
prn: <http://www.wikidata.org/prop/reference/value-normalized/
prov: <http://www.w3.org/ns/prov#
prv: <http://www.wikidata.org/prop/reference/value/
ps: <http://www.wikidata.org/prop/statement/
psn: <http://www.wikidata.org/prop/statement/value-normalized/
psv: <http://www.wikidata.org/prop/statement/value/
qfn: <http://qlever.cs.uni-freiburg.de/function#
ql: <http://qlever.cs.uni-freiburg.de/builtin-functions/
qlss: <https://qlever.cs.uni-freiburg.de/spatialSearch/
rdf: <http://www.w3.org/1999/02/22-rdf-syntax-ns#
rdfs: <http://www.w3.org/2000/01/rdf-schema#
ref: <http://www.wikidata.org/reference/
s: <http://www.wikidata.org/entity/statement/
schema: <http://schema.org/
skos: <http://www.w3.org/2004/02/skos/core#
v: <http://www.wikidata.org/value/
wd: <http://www.wikidata.org/entity/
wdno: <http://www.wikidata.org/prop/novalue/
wdt: <http://www.wikidata.org/prop/direct/
wdtn: <http://www.wikidata.org/prop/direct-normalized/
wikibase: <http://wikiba.se/ontology#
xsd: <http://www.w3.org/2001/XMLSchema#
foaf: <http://xmlns.com/foaf/0.1/
dc: <http://purl.org/dc/elements/1.1/
gn: <http://www.geonames.org/ontology#
bd: <http://www.bigdata.com/rdf#
hint: <http://www.bigdata.com/queryHints#
qb: <http://purl.org/linked-data/cube#
void: <http://rdfs.org/ns/void#

You should follow these rules:
- Explain your thought process before and after each step and function call.
- Do not just use or make up entity or property identifiers without verifying their existence in the knowledge graphs first.
- 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.
- Always execute your final SPARQL query before giving an answer to make sure it returns the expected results.
- 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.
- 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.
- 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.
- For questions with a "True" or "False" answer the SPARQL query should be an ASK query.

[User] What is the highest point of Norway?

[Assistant] I will search for relevant entities and properties: Norway (to confirm QID) and properties related to "highest point" or "highest mountain" in Wikidata. I'll start by searching for Norway and then search for properties matching "highest point". I will explain each step and run queries to verify identifiers.

[Tool]
Top 10 entity alternatives:
1. Norway (wd:Q20), also known as Kingdom of Norway: is instance of sovereign state / country in Northern Europe / country in Northern Europe / country in Northern Europe / country in Northern Europe / is instance of country
2. Norway (wd:Q1913264), also known as Norway, IA, Norway, Iowa: is instance of city in the United States / is instance of city of the United States / city in Iowa, United States
3. Norway (wd:Q2480177), also known as Norway, MI, Norway, Michigan: city in Dickinson County, Michigan, United States / is instance of city of the United States / is instance of city in the United States
4. Kingdom of Norway (wd:Q2196956, matched via Norway), also known as Norway, Norwegian Empire: is instance of historical country / former Kingdom from 872 to 1397
5. Norway (wd:Q3243583), also known as Norway, SC, Norway, South Carolina: is instance of town in the United States / town in South Carolina
6. Norway (wd:Q2734330), also known as Norway, Maine, Norway, ME: is instance of town in the United States / town in Maine, USA
7. Norway (wd:Q2118814), also known as Norway, IN, Norway, Indiana: is instance of census-designated place in the United States / is instance of census-designated place / census-designated place in Indiana
8. Kingdom of Norway (wd:Q2597352, matched via Norway), also known as Norway, Norwegian Kingdom: short-lived monarchy in Northern Europe (1814) / is instance of historical country
9. Norway (wd:Q944765), also known as Norway, New York, Norway, NY: is instance of town in the United States / is instance of town of New York / town in New York, USA
10. Norway (wd:Q3046928), also known as Norway, WI: is instance of civil town of Wisconsin / town in Wisconsin, USA

[Assistant] I'll search for properties related to "highest point" and "highest" to find the correct property linking a country to its highest point.

[Tool]
Top 10 property alternatives:
1. highest point (wd:P610 as p/wdtn/pqn/pqv/wdt/prv/pr/ps/psn/prn/psv/pq), also known as elevation of highest point, extreme point highest, highest peak, pinnacle, summit, etc.: point with the highest elevation in the country, region, city, town, or area / point with highest elevation in the country, region, city or area / point with highest elevation in a region or path / is subproperty of has part(s) / is subproperty of has part
2. lowest point (wd:P1589 as p/wdtn/pqn/pqv/wdt/prv/pr/ps/psn/prn/psv/pq), also known as deepest point, extreme point deepest, extreme point lowest, P1589: point with lowest elevation in the country, region, city or area / point with lowest elevation in a region or path
3. maximum operating altitude (wd:P2254 as p/wdtn/pqn/pqv/wdt/prv/pr/ps/psn/prn/psv/pq, matched via maximum altitude), also known as ceiling, maximum altitude, service ceiling, P2254: ceiling or maximum density altitude at which an aircraft can operate / is subproperty of elevation above sea level
4. elevation above sea level (wd:P2044 as p/wdtn/pqn/pqv/wdt/prv/pr/ps/psn/prn/psv/pq, matched via elevation), also known as altitude, AMSL, EASL, elevation, elevation above mean sea level, etc.: height of the item (geographical object) as measured relative to sea level / height of the item as measured relative to sea level / height of the item as measured relative to sea level
5. ranking (wd:P1352 as p/wdtn/pqn/pqv/wdt/prv/pr/ps/psn/prn/psv/pq, matched via peak position), also known as peak position, place, placing, position, rank, etc.: subject's ordinal position as qualitatively evaluated relative to other members of a group / the subject's position in the specified rank
6. clearance (wd:P2793 as p/wdtn/pqn/pqv/wdt/prv/pr/ps/psn/prn/psv/pq, matched via bridge height), also known as air draft, air draught, bridge height, clearance below, deck height, etc.: distance between surface under bridge and bottom of a bridge deck / distance between surface and bottom of a bridge deck
7. height (wd:P2048 as p/wdtn/pqn/pqv/wdt/prv/pr/ps/psn/prn/psv/pq), also known as depth over terrain, heighth, size, P2048: vertical dimension of an entity / vertical length of an entity / is subproperty of length
8. ride height (wd:P8594 as p/wdtn/pqn/pqv/wdt/prv/pr/ps/psn/prn/psv/pq), also known as ground clearance, P8594: ground clearance of vehicle or distance between the base of a vehicle tire and the lowest point
9. highest note (wd:P1897 as p/wdtn/pqn/pqv/wdt/prv/pr/ps/psn/prn/psv/pq), also known as P1897: highest note that an instrument can play or singer can sing
10. maximum temperature record (wd:P6591 as p/wdtn/pqn/pqv/wdt/prv/pr/ps/psn/prn/psv/pq, matched via highest temperature), also known as highest temperature, P6591: maximum temperature reached at this location / is subproperty of temperature

[Assistant] I'll run a SPARQL query to get the value of the "highest point" property (P610) for Norway (wd:Q20). The query will return the IRI of the highest point and, optionally, its English label. I'll execute the query now.

[Tool]
Got 1 row and 2 columns:
| highest                   | highestLabel      |
| ------------------------- | ----------------- |
| Galdhøpiggen (wd:Q203942) | Galdhøpiggen (en) |

[Assistant] I will finalize by returning the SPARQL query I executed and the answer I found: that the highest point of Norway is Galdhøpiggen (with its Wikidata IRI). I will include a short summary of the steps and the query result.

[Tool] Stopping


PREFIX wdt: <http://www.wikidata.org/prop/direct/>
PREFIX wd: <http://www.wikidata.org/entity/>
SELECT ?item ?inception ?start WHERE {
  BIND( wd:Q41304 AS ?item ) .
  ?item wdt:P571 ?inception .
  OPTIONAL {
    ?item wdt:P580 ?start
  }
}

Using entities:
Weimar Republic (wd:Q41304), also known as German People's State, German Reich, German Republic, Germany, Republic of Germany, etc.

Using properties:
inception (wd:P571 as wdt), also known as broke ground, built, commenced on date, commencement date, completed, etc.
start time (wd:P580 as wdt), also known as began, beginning, building date, effective, effectivity, etc.

Answer:
Process and results:
1) I first searched for the entity "Weimar Republic" and identified it as wd:Q41304 in Wikidata.
2) I queried wd:Q41304 for inception (wdt:P571) and start time (wdt:P580). The query returned inception = 1918-11-09T00:00:00Z and no wdt:P580 value.
Conclusion: The Weimar Republic started on 9 November 1918 (inception: 1918-11-09).

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

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.

You have access to the following knowledge graphs:
wikidata at http://localhost:7001 without notes

You are provided with the following notes across all knowledge graphs:
No notes available

You can use the following SPARQL prefixes implicitly in all functions:
cc: <http://creativecommons.org/ns#
data: <https://www.wikidata.org/wiki/Special:EntityData/
dct: <http://purl.org/dc/terms/
geo: <http://www.opengis.net/ont/geosparql#
geof: <http://www.opengis.net/def/function/geosparql/
imdb: <https://www.imdb.com/
math: <http://www.w3.org/2005/xpath-functions/math#
ontolex: <http://www.w3.org/ns/lemon/ontolex#
owl: <http://www.w3.org/2002/07/owl#
p: <http://www.wikidata.org/prop/
pq: <http://www.wikidata.org/prop/qualifier/
pqn: <http://www.wikidata.org/prop/qualifier/value-normalized/
pqv: <http://www.wikidata.org/prop/qualifier/value/
pr: <http://www.wikidata.org/prop/reference/
prn: <http://www.wikidata.org/prop/reference/value-normalized/
prov: <http://www.w3.org/ns/prov#
prv: <http://www.wikidata.org/prop/reference/value/
ps: <http://www.wikidata.org/prop/statement/
psn: <http://www.wikidata.org/prop/statement/value-normalized/
psv: <http://www.wikidata.org/prop/statement/value/
qfn: <http://qlever.cs.uni-freiburg.de/function#
ql: <http://qlever.cs.uni-freiburg.de/builtin-functions/
qlss: <https://qlever.cs.uni-freiburg.de/spatialSearch/
rdf: <http://www.w3.org/1999/02/22-rdf-syntax-ns#
rdfs: <http://www.w3.org/2000/01/rdf-schema#
ref: <http://www.wikidata.org/reference/
s: <http://www.wikidata.org/entity/statement/
schema: <http://schema.org/
skos: <http://www.w3.org/2004/02/skos/core#
v: <http://www.wikidata.org/value/
wd: <http://www.wikidata.org/entity/
wdno: <http://www.wikidata.org/prop/novalue/
wdt: <http://www.wikidata.org/prop/direct/
wdtn: <http://www.wikidata.org/prop/direct-normalized/
wikibase: <http://wikiba.se/ontology#
xsd: <http://www.w3.org/2001/XMLSchema#
foaf: <http://xmlns.com/foaf/0.1/
dc: <http://purl.org/dc/elements/1.1/
gn: <http://www.geonames.org/ontology#
bd: <http://www.bigdata.com/rdf#
hint: <http://www.bigdata.com/queryHints#
qb: <http://purl.org/linked-data/cube#
void: <http://rdfs.org/ns/void#

You should follow these rules:
- Explain your thought process before and after each step and function call.
- Do not just use or make up entity or property identifiers without verifying their existence in the knowledge graphs first.
- 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.
- Always execute your final SPARQL query before giving an answer to make sure it returns the expected results.
- 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.
- 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.
- 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.
- For questions with a "True" or "False" answer the SPARQL query should be an ASK query.

[User] When did the Weimar Republic start?

[Assistant] I will first search Wikidata for the item representing the "Weimar Republic" to get its identifier. Then I'll look for properties that record start dates (commonly "inception" P571 and "start time" P580) and query the item for those properties to return the start date. I'll start by searching for the entity "Weimar Republic".

[Tool]
Top 10 entity alternatives:
1. Weimar Republic (wd:Q41304), also known as German People's State, German Reich, German Republic, Germany, Republic of Germany, etc.: Germany in the years 1918/1919–1933 / Germany in the years 1918/1919–1933 / is instance of historical country / is instance of historical period
2. Landtag (Weimar Republic) (wd:Q1453030): federated state parliament in German Weimar Republic (1919—1934) / is subclass of parliament
3. flag of the Weimar Republic (wd:Q4485721, matched via Weimar Republic flag), also known as the Weimar Republic flag, Weimar Republic flag: is instance of national flag / flag
4. historian of the Weimar Republic (wd:Q104730830, matched via Weimar Republic historian), also known as historian of Weimar Republic, Weimar Republic historian: historian specializing in history of the Weimar Republic / is subclass of historian of Modern Age / is instance of profession / is instance of occupation
5. history of the Weimar Republic (wd:Q104731094, matched via Weimar Republic history), also known as the Weimar Republic history, Weimar Republic history: is instance of history of a country or state / is instance of academic discipline / is subclass of history of Germany / is instance of discipline / aspect of German history
6. hyperinflation in the Weimar Republic (wd:Q695052): occurrence of hyperinflation in early 20th century Germany / is instance of hyperinflation / is instance of occurrence / is instance of event
7. states of the Weimar Republic (wd:Q3712151): federated states of the Weimar Republic / is subclass of federated state / is subclass of Federated state
8. Reichsadler of the Weimar Republic (wd:Q25401250), also known as coat of arms of the Weimar Republic: is instance of coat of arms / is instance of Reichsadler
9. аrt of the Weimar Republic (wd:Q5551325), also known as Weimar аrt: is instance of art of an area / is subclass of German art
10. timeline of the Weimar Republic (wd:Q7806421): is instance of timeline / timeline

[Assistant] I'll query Wikidata for the inception (P571) and any direct start time (P580) values for the Weimar Republic (wd:Q41304). This will verify the official start date recorded in Wikidata. I'll run a SPARQL SELECT that returns these date values.

[Tool]
Got 1 row and 2 columns:
| inception                           | start |
| ----------------------------------- | ----- |
| 1918-11-09T00:00:00Z (xsd:dateTime) |       |

[Tool] Stopping


PREFIX wdt: <http://www.wikidata.org/prop/direct/>
PREFIX wd: <http://www.wikidata.org/entity/>
PREFIX rdfs: <http://www.w3.org/2000/01/rdf-schema#>
SELECT ?port ?portLabel ?employees WHERE {
  VALUES ?port {
    wd:Q1027807
  }
  OPTIONAL {
    ?port wdt:P1128 ?employees .
  }
  OPTIONAL {
    ?port rdfs:label ?portLabel .
    FILTER ( LANG( ?portLabel ) = "en" )
  }
}

Using entities:
Port of Rotterdam (wd:Q1027807)

Using properties:
employees (wd:P1128 as wdt), also known as employee count, number of employees, number of staff, personnel, staff, etc.

Answer: I searched Wikidata for the Port of Rotterdam and looked for the "number of employees" (P1128) property. The query returns wd:Q1027807 (Port of Rotterdam) with number of employees = 385000. So, according to Wikidata, the Port of Rotterdam employs 385,000 people.

How many perople do the Port of Rotterdam employ?

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

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.

You have access to the following knowledge graphs:
wikidata at http://localhost:7001 without notes

You are provided with the following notes across all knowledge graphs:
No notes available

You can use the following SPARQL prefixes implicitly in all functions:
cc: <http://creativecommons.org/ns#
data: <https://www.wikidata.org/wiki/Special:EntityData/
dct: <http://purl.org/dc/terms/
geo: <http://www.opengis.net/ont/geosparql#
geof: <http://www.opengis.net/def/function/geosparql/
imdb: <https://www.imdb.com/
math: <http://www.w3.org/2005/xpath-functions/math#
ontolex: <http://www.w3.org/ns/lemon/ontolex#
owl: <http://www.w3.org/2002/07/owl#
p: <http://www.wikidata.org/prop/
pq: <http://www.wikidata.org/prop/qualifier/
pqn: <http://www.wikidata.org/prop/qualifier/value-normalized/
pqv: <http://www.wikidata.org/prop/qualifier/value/
pr: <http://www.wikidata.org/prop/reference/
prn: <http://www.wikidata.org/prop/reference/value-normalized/
prov: <http://www.w3.org/ns/prov#
prv: <http://www.wikidata.org/prop/reference/value/
ps: <http://www.wikidata.org/prop/statement/
psn: <http://www.wikidata.org/prop/statement/value-normalized/
psv: <http://www.wikidata.org/prop/statement/value/
qfn: <http://qlever.cs.uni-freiburg.de/function#
ql: <http://qlever.cs.uni-freiburg.de/builtin-functions/
qlss: <https://qlever.cs.uni-freiburg.de/spatialSearch/
rdf: <http://www.w3.org/1999/02/22-rdf-syntax-ns#
rdfs: <http://www.w3.org/2000/01/rdf-schema#
ref: <http://www.wikidata.org/reference/
s: <http://www.wikidata.org/entity/statement/
schema: <http://schema.org/
skos: <http://www.w3.org/2004/02/skos/core#
v: <http://www.wikidata.org/value/
wd: <http://www.wikidata.org/entity/
wdno: <http://www.wikidata.org/prop/novalue/
wdt: <http://www.wikidata.org/prop/direct/
wdtn: <http://www.wikidata.org/prop/direct-normalized/
wikibase: <http://wikiba.se/ontology#
xsd: <http://www.w3.org/2001/XMLSchema#
foaf: <http://xmlns.com/foaf/0.1/
dc: <http://purl.org/dc/elements/1.1/
gn: <http://www.geonames.org/ontology#
bd: <http://www.bigdata.com/rdf#
hint: <http://www.bigdata.com/queryHints#
qb: <http://purl.org/linked-data/cube#
void: <http://rdfs.org/ns/void#

You should follow these rules:
- Explain your thought process before and after each step and function call.
- Do not just use or make up entity or property identifiers without verifying their existence in the knowledge graphs first.
- 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.
- Always execute your final SPARQL query before giving an answer to make sure it returns the expected results.
- 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.
- 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.
- 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.
- For questions with a "True" or "False" answer the SPARQL query should be an ASK query.

[User] How many perople do the Port of Rotterdam employ?

[Assistant] I will search Wikidata for the entity corresponding to "Port of Rotterdam" to find its identifier and then look for a property that records number of employees (commonly P1128 "number of employees" or P1082 is population — employees is P1128). I'll start by searching for the entity. I'll run a search for "Port of Rotterdam".

[Tool]
Top 10 entity alternatives:
1. Port of Rotterdam (wd:Q1027807): largest port in Europe, located in the city of Rotterdam, Netherlands / is instance of organization / is instance of organisation / is instance of seaport
2. Port of Rotterdam Authority (wd:Q2187039), also known as Directie bedrijfsvoering Havenbedrijf   etc.: manager of Rotterdam's port and industrial area in the Netherlands / is instance of corporation
3. The Port of Rotterdam (wd:Q59543911): painting by Eugène Boudin / painting by Eugène Boudin / is instance of painting
4. Portrait of Erasmus of Rotterdam (wd:Q107122548): is instance of group of paintings
5. Port of Rotterdam Container Terminal project (wd:Q100342944): is instance of project
6. Portrait of Erasmus of Rotterdam (wd:Q116968152): painting by Copy after Lucas Cranach the Elder or Workshop Lucas Cranach the Elder (Sammlung Würth) / is instance of painting
7. Portrait of Erasmus of Rotterdam (wd:Q116966868): painting by Workshop Lucas Cranach the Elder (Landesmuseum für Kunst und Kulturgeschichte Oldenburg) / is instance of painting
8. Portrait of Erasmus of Rotterdam (wd:Q110572054): painting by Hans Holbein the Younger and workshop (David Owsley Museum) / is instance of painting
9. Portrait of Erasmus of Rotterdam (wd:Q110571788): painting by Hans Holbein the Younger and workshop
10. Portrait of Erasmus of Rotterdam (wd:Q20809158): painting by Hans Holbein the Younger / painting by Hans Holbein / is instance of painting

[Assistant] I'll check which entity has a "number of employees" property. I'll first look for properties related to employees for the Port of Rotterdam Authority (wd:Q2187039).

[Tool]
Top 10 property alternatives:
1. headquarters location (wd:P159 as p/wdt, matched via seat), also known as admin HQ, based in, garrison, head office location, head quarters, etc.: city or town where an organization's headquarters is or has been situated. Use P276 qualifier for specific building / specific location where an organisation's HQ is or has been located / specific location where an organisation's HQ is or has been located / is subproperty of significant place
2. country (wd:P17 as p/wdt, matched via state), also known as host country, land, sovereign state, state, P17: sovereign state that this item is in (not to be used for human beings) / sovereign state that this item is in (not to be used for human beings) / sovereign state that this item is in (not to be used for human beings) / sovereign state that this item is in (not to be used for human beings) / is subproperty of located in the administrative territorial entity
3. inception (wd:P571 as p/wdt, matched via formation), also known as broke ground, built, commenced on date, commencement date, completed, etc.: time when an entity begins to exist; for date of official opening use P1619 / time when an entity begins to exist; for date of official opening use P1619 / date or point in time when the organisation / object was founded / created / is subproperty of start time
4. official website (wd:P856 as p/wdt, matched via homepage), also known as home page, homepage, home page (official), homepage (official), official homepage, etc.: URL of the official page of an item (current or former). ... see the "Hijacked or dead websites" section of the Talk page / is subproperty of URL
5. instance of (wd:P31 as p/wdt, matched via is an), also known as example of, has type, is a, is an, is of type, etc.: type to which this subject corresponds/belongs. Different ... and the volcano is a type (instance) of volcanic landform / that class of which this subject is a particular example and ... a subclass of mountain (and an instance of volcanic landform)
6. has works in the collection (wd:P6379 as p/wdt, matched via has work in the collection), also known as has items in the collection, has work in the collection, has works in the collection(s), items in collection, items in the collection, etc.: collection that has works of this person or organisation (use archives at [P485] for archives) / collection that have works of this artist
7. Commons category (wd:P373 as p/wdt, matched via category Commons), also known as category Commons, category on Commons, category on Wikimedia Commons, category Wikipedia Commons, commonscat, etc.: name of the Wikimedia Commons category containing files related to this item (without the prefix "Category:") / name of the Wikimedia Commons category containing files related to this item (without the prefix "Category") / name of the Wikimedia Commons category containing files related to this item (without the prefix "Category")
8. ISNI (wd:P213 as p/wdt), also known as International Standard Name Identifier, ISO 27729, P213: International Standard Name Identifier for an identity. Starting with 0000. / International Standard Name Identifier for an identity. Starting with 0000. / International Standard Name Identifier for an identity. Starting with 0000. / International Standard Name Identifier for an identity. Starting with 0000.
9. Google Knowledge Graph ID (wd:P2671 as p/wdtn/wdt, matched via kgmid), also known as Google knowledge panel, Google Knowledge Panel ID, kgmid, MREID, P2671: identifier for Google Knowledge Graph API, starting with "/g/". For IDs starting with "/m/", use Freebase ID (P646) / identifier for Google Knowledge Graph API / identifier for Google Knowledge Graph API
10. VIAF cluster ID (wd:P214 as p/wdtn/wdt, matched via P214), also known as VIAF, VIAF ID, VIAF identifier, viaf.org ID, Virtual International Authority File, etc.: identifier for the Virtual International Authority File ... note: VIAF is a cluster, the ID can include multiple items / Virtual International Authority File identifier

No other items found

[Assistant] I'll check whether either wd:Q2187039 (Port of Rotterdam Authority) or wd:Q1027807 (Port of Rotterdam) has the property "number of employees" (P1128). I'll query both.

[Tool] Got no rows and 3 columns

[Tool]
Got 1 row and 3 columns:
| subject                         | property              | object               |
| ------------------------------- | --------------------- | -------------------- |
| Port of Rotterdam (wd:Q1027807) | employees (wdt:P1128) | 385000 (xsd:decimal) |

[Assistant] I'll run a SPARQL query that retrieves the Port of Rotterdam item (wd:Q1027807) and its "number of employees" property (P1128). I include the English rdfs:label as an optional field for readability. Now I'll execute that query.

[Tool]
Got 1 row and 3 columns:
| port                            | portLabel              | employees            |
| ------------------------------- | ---------------------- | -------------------- |
| Port of Rotterdam (wd:Q1027807) | Port of Rotterdam (en) | 385000 (xsd:decimal) |

[Assistant] I'll now provide the final SPARQL query I executed and the answer I obtained from Wikidata.

[Tool] Stopping