PREFIX wd: <http://www.wikidata.org/entity/>
PREFIX wdt: <http://www.wikidata.org/prop/direct/>
PREFIX rdfs: <http://www.w3.org/2000/01/rdf-schema#>
SELECT ?cemetery ?cemeteryLabel ?coord ?cwgcID ?foreignWarID ?image WHERE {
  ?cemetery wdt:P31 wd:Q39614 ; wdt:P17 wd:Q20 .
  OPTIONAL {
    ?cemetery wdt:P625 ?coord .
  }
  OPTIONAL {
    ?cemetery wdt:P1920 ?cwgcID .
  }
  OPTIONAL {
    ?cemetery wdt:P8387 ?foreignWarID .
  }
  OPTIONAL {
    ?cemetery wdt:P18 ?image .
  }
  FILTER ( BOUND( ?cwgcID ) || BOUND( ?foreignWarID ) ) OPTIONAL {
    ?cemetery rdfs:label ?cemeteryLabel FILTER ( LANG( ?cemeteryLabel ) = "en" )
  }
}

Got 39 rows and 6 columns, showing the first 5 and last 5 rows below:
| cemetery                            | cemeteryLabel             | coord                                       | cwgcID  | foreignWarID | image                                                                                |
| ----------------------------------- | ------------------------- | ------------------------------------------- | ------- | ------------ | ----------------------------------------------------------------------------------------- |
| wd:Q113119655                       |                           | POINT(10.052500 61.592500) (geo:wktLiteral) | 2016266 | 275          |                                                                                |
| Eiganes gravlund (wd:Q11966731)     | Eiganes gravlund (en)     | POINT(5.715938 58.967557) (geo:wktLiteral)  | 2016258 | 346          | <http://commons.wikimedia.org/wiki/Special:FilePath/Eiganes%20gravlund%20krematoriet.png> |
| Solheim cemetery (wd:Q12001828)     | Solheim cemetery (en)     | POINT(5.339467 60.369252) (geo:wktLiteral)  |         | 143          | <http://commons.wikimedia.org/wiki/Special:FilePath/Solheim%20kirkeg%C3%A5rd.JPG>         |
| Åndalsnes gravlund (wd:Q12011532)   | Åndalsnes gravlund (en)   | POINT(7.681611 62.564812) (geo:wktLiteral)  | 2016204 |              | <http://commons.wikimedia.org/wiki/Special:FilePath/Aandalsnes-gravlund-norway.jpg>       |
| Vestre gravlund (wd:Q1413698)       | Vestre gravlund (en)      | POINT(10.697222 59.931667) (geo:wktLiteral) | 2016202 | 360          | <http://commons.wikimedia.org/wiki/Special:FilePath/Vestre-gravlund-kapell.jpg>           |
| ...                                 | ...                       | ...                                         | ...     | ...          | ...                                                                                |
| wd:Q97819936                        |                           |                                             |         | 134          |                                                                                |
| Feda Churchyard (wd:Q97820694)      | Feda Churchyard (en)      | POINT(6.821410 58.262840) (geo:wktLiteral)  | 2016219 | 323          |                                                                                |
| Hen Churchyard (wd:Q97872090)       | Hen Churchyard (en)       | POINT(7.791270 62.577820) (geo:wktLiteral)  | 2016229 | 314          |                                                                                |
| Stadsbygd Churchyard (wd:Q97887215) | Stadsbygd Churchyard (en) | POINT(10.008750 63.499050) (geo:wktLiteral) | 2016256 | 348          |                                                                                |
| wd:Q99355640                        |                           | POINT(8.181889 62.911889) (geo:wktLiteral)  |         | 69           |                                                                                |

The cemeteries in Norway that have either a Commonwealth War Graves Commission burial ground ID or a Foreign war churchyards in Norway ID include (but are not limited to):
- Eiganes gravlund (wd:Q11966731), coordinates: POINT(5.715938 58.967557), CWGC ID: 2016258, Foreign war churchyards in Norway ID: 346, image: http://commons.wikimedia.org/wiki/Special:FilePath/Eiganes%20gravlund%20krematoriet.png
- Solheim cemetery (wd:Q12001828), coordinates: POINT(5.339467 60.369252), Foreign war churchyards in Norway ID: 143, image: http://commons.wikimedia.org/wiki/Special:FilePath/Solheim%20kirkeg%C3%A5rd.JPG
- Åndalsnes gravlund (wd:Q12011532), coordinates: POINT(7.681611 62.564812), CWGC ID: 2016204, image: http://commons.wikimedia.org/wiki/Special:FilePath/Aandalsnes-gravlund-norway.jpg
- Vestre gravlund (wd:Q1413698), coordinates: POINT(10.697222 59.931667), CWGC ID: 2016202, Foreign war churchyards in Norway ID: 360, image: http://commons.wikimedia.org/wiki/Special:FilePath/Vestre-gravlund-kapell.jpg
- Feda Churchyard (wd:Q97820694), coordinates: POINT(6.821410 58.262840), CWGC ID: 2016219, Foreign war churchyards in Norway ID: 323
- Hen Churchyard (wd:Q97872090), coordinates: POINT(7.791270 62.577820), CWGC ID: 2016229, Foreign war churchyards in Norway ID: 314
- Stadsbygd Churchyard (wd:Q97887215), coordinates: POINT(10.008750 63.499050), CWGC ID: 2016256, Foreign war churchyards in Norway ID: 348

The full list can be retrieved with the provided SPARQL query.

[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:
wikidata at https://qlever.cs.uni-freiburg.de/api/wikidata

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/
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 a step-by-step approach to generate the SPARQL query:
1. Determine possible entities and properties implied by the user question.
2. Use the functions to search for 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. Use the execute function to get feedback on intermediate queries. You can go back and forth between knowledge graph searches and SPARQL query executions to refine the query.
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 assume or make up any entities or properties without verifying them with the knowledge graphs and functions.
3. 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.
4. 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.
5. 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.
6. For questions with a "True" or "False" answer the SPARQL query should be an ASK query.
7. 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 are the cemeteries in Norway that have either a Commonwealth War Graves Commission burial ground ID or a Foreign war churchyards in Norway ID? Please provide their coordinates (if available), the relevant ID (if available), and an image (if available).

[Assistant]
Let's break down the question:

1. We need to find cemeteries in Norway.
2. These cemeteries must have either:
   - a Commonwealth War Graves Commission burial ground ID, or
   - a Foreign war churchyards in Norway ID.
3. For each, we want:
   - their coordinates (if available),
   - the relevant ID (if available),
   - and an image (if available).

Step 1: Find the Wikidata entity for Norway and for "cemetery".
Step 2: Find the properties for "Commonwealth War Graves Commission burial ground ID" and "Foreign war churchyards in Norway ID".
Step 3: Find the properties for coordinates and image.
Step 4: Build a query that gets all cemeteries in Norway with either of those IDs, and retrieves the requested information.

Let's proceed step by step.

First, search for the property "Commonwealth War Graves Commission burial ground ID".

[Tool]
Top 10 property alternatives:
1. CWGC burial ground ID, also known as Commonwealth War Graves Commission burial ground ID, Commonwealth War Graves Commission burial ground identifier, CWGC burial ground ID, CWGC burial ID, CWGC memorial ID (wd:P1920 as wdt/psv/psn/prn/pqv/ps/p/prv/pr/wdtn/pq/pqn): identifier for a cemetery, churchyard, or memorial, in the online database of Commonwealth War Graves Commission
2. CWGC person ID, also known as CWGC person identifier, Commonwealth War Graves Commission person ID, Commonwealth War Graves Commission person identifier (wd:P1908 as wdt/psv/psn/prn/pqv/ps/p/prv/pr/wdtn/pq/pqn): identifier for a person, in the online database of Commonwealth War Graves Commission
3. Volksbund ID, also known as German War Graves Commission ID (wd:P6244 as wdt/psv/psn/prn/pqv/ps/p/prv/pr/wdtn/pq/pqn): German War Graves Commission cemetery identification
4. Find a Grave cemetery ID, also known as FindAGrave cemetery ID (wd:P2025 as wdt/psv/psn/prn/pqv/ps/p/prv/pr/wdtn/pq/pqn): identifier assigned to a cemetery at Find a Grave
5. Online Cenotaph ID, also known as Online Cenotaph ID, AWMM Online Cenotaph ID, Auckland Museum Online Cenotaph ID, aucklandmuseum (wd:P7474 as wdt/psv/psn/prn/pqv/ps/p/prv/pr/wdtn/pq/pqn): identifier for a military serviceperson in the Auckland War Memorial Museum Online Cenotaph database
6. Hart Island Project person ID, also known as City Cemetery person ID, Hart Island Project person identifier, The Hart Island Project person ID, The Hart Island Project person identifier (wd:P11640 as wdt/psv/psn/prn/pqv/ps/p/prv/pr/wdtn/pq/pqn): identifier for a person buried in New York's City Cemetery on Hart Island, Bronx, New York
7. Find a Grave memorial ID, also known as FaG ID, FaGID, Find A Grave grave ID, Findagrave ID, Find A Grave memorial ID (wd:P535 as wdt/psv/psn/prn/pqv/ps/p/prv/pr/wdtn/pq/pqn): identifier of an individual's burial place in the Find a Grave database
8. War Memorials Online ID, also known as WMO memorial ID (wd:P5956 as wdt/psv/psn/prn/pqv/ps/p/prv/pr/wdtn/pq/pqn): identifier for a war memorial on the War Memorials Online website
9. Dutch Cemetery in Chinsurah person ID (wd:P4458 as wdt/psv/psn/prn/pqv/ps/p/prv/pr/wdtn/pq/pqn): identifier for an interred person in the database of the Dutch Cemetery in Chinsurah, West Bengal
10. Scottish Cemetery Kolkata person ID (wd:P4512 as wdt/psv/psn/prn/pqv/ps/p/prv/pr/wdtn/pq/pqn): This website contains the database of Scottish Cemetery in Kolka...dency University in collaboration the University of St. Andrews.

[Assistant]
The property for "Commonwealth War Graves Commission burial ground ID" is wd:P1920.

Next, let's search for the property "Foreign war churchyards in Norway ID".

[Tool]
Top 10 property alternatives:
1. Foreign war churchyards in Norway ID (wd:P8387 as wdt/psv/psn/prn/pqv/ps/p/prv/pr/wdtn/pq/pqn): identifier for foreign war churchyards in Norway
2. Norwegian war refugees register ID (wd:P5871 as wdt/psv/psn/prn/pqv/ps/p/prv/pr/wdtn/pq/pqn): Norwegian register for refugees at Kjesæter 1940 to 1945 ID
3. Norwegian war prisoner detention camp ID (wd:P11576 as wdt/psv/psn/prn/pqv/ps/p/prv/pr/wdtn/pq/pqn): identification number in the Norwegian prisoner register 1940 -1945 for a detention camp
4. Norwegian war sailor register ship-ID (wd:P5156 as wdt/psv/psn/prn/pqv/ps/p/prv/pr/wdtn/pq/pqn): identifikation number for ship in the Norwegian war sailor register
5. place of burial, also known as interment, interment location, interment place, interred at, location of burial (wd:P119 as wdt/psv/psn/prn/pqv/ps/p/prv/pr/wdtn/pq/pqn): location of grave, resting place, place of ash-scattering, etc. ...veral places: e.g., re-burials, parts of body buried separately., location
6. Norwegian war sailor register person ID (wd:P4972 as wdt/psv/psn/prn/pqv/ps/p/prv/pr/wdtn/pq/pqn): identifikation number in the Norwegian war sailor register
7. War Memorials Online ID, also known as WMO memorial ID (wd:P5956 as wdt/psv/psn/prn/pqv/ps/p/prv/pr/wdtn/pq/pqn): identifier for a war memorial on the War Memorials Online website
8. Volksbund ID, also known as German War Graves Commission ID (wd:P6244 as wdt/psv/psn/prn/pqv/ps/p/prv/pr/wdtn/pq/pqn): German War Graves Commission cemetery identification
9. Church of Norway building ID (wd:P5294 as wdt/psv/psn/prn/pqv/ps/p/prv/pr/wdtn/pq/pqn): identifier for a church building listed by Church of Norway ("Kirkebyggdatabasen")
10. CWGC burial ground ID, also known as Commonwealth War Graves Commission burial ground ID, Commonwealth War Graves Commission burial ground identifier, CWGC burial ground ID, CWGC burial ID, CWGC memorial ID (wd:P1920 as wdt/psv/psn/prn/pqv/ps/p/prv/pr/wdtn/pq/pqn): identifier for a cemetery, churchyard, or memorial, in the online database of Commonwealth War Graves Commission

[Assistant]
The property for "Foreign war churchyards in Norway ID" is wd:P8387.

Now, let's find the entity for "cemetery" and for "Norway".

[Tool]
Top 10 entity alternatives:
1. cemetery, also known as burial ground, burying ground, cemeteries, graveyard, mugwort village (wd:Q39614): place of burial
2. Jewish cemetery, also known as bet kevarot, kirkut, cemetery (wd:Q846659): cemetery for Jewish people
3. military cemetery, also known as cemetery, revolutionary martyrs’ cemetery, veteran's cemetery, veterans cemetery, war cemetery (wd:Q1241568): burial place for members of the armed forces or civilians who died during military operations
4. Cemetery (wd:Q248609): 1997 single by Silverchair
5. war cemetery, also known as cemetery (wd:Q1707610): cemetery for both civil and military victims of war or tyranny
6. cemetery (wd:Q37820179): cultural monument in Mikulov, Teplice District
7. cemetery (wd:Q41379931): cultural heritage monument D-6-73-114-91 (0) in Bad Neustadt an der Saale, Bavaria
8. Cemetery (wd:Q40161069): cemetery in Deidesheim, Germany
9. Cemetery (wd:Q73776381)
10. Cemetery (wd:Q15782769): cemetery in Ismaning, Upper Bavaria, Germany

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

[Assistant]
The entity for "cemetery" is wd:Q39614, and for "Norway" is wd:Q20.

Now, let's find the properties for "coordinate location" and "image".

[Tool]
Top 10 property alternatives:
1. coordinate location, also known as point on a map, gps coordinates, gps location, latitude, location (wd:P625 as wdt/psv/psn/prn/pqv/ps/p/prv/pr/wdtn/pq/pqn): geocoordinates of the subject. For Earth, please note that only WGS84 coordinating system is supported at the moment
2. this zoological name is coordinate with, also known as coordinate name (wd:P2743 as wdt/psv/psn/prn/pqv/ps/p/prv/pr/wdtn/pq/pqn): links coordinate zoological names, different from
3. coordinates of depicted place, also known as depicted item geolocation, geolocation of object, object geolocation (wd:P9149 as wdt/psv/psn/prn/pqv/ps/p/prv/pr/wdtn/pq/pqn): coordinates of the place depicted in the work (or Commons image)
4. location map (wd:P1943 as wdt/psv/psn/prn/pqv/ps/p/prv/pr/wdtn/pq/pqn): blank geographic map image suitable for overlaying coordinate points, as defined at c:Category:Location maps, image
5. genomic start, also known as start coordinate, genomic from, Genloc From, from, Genloc Start (wd:P644 as wdt/psv/psn/prn/pqv/ps/p/prv/pr/wdtn/pq/pqn): genomic starting coordinate of the biological sequence (e.g. a gene)
6. set in environment, also known as set in location, takes place in, setting location, playing in, narrative set in (wd:P8411 as wdt/psv/psn/prn/pqv/ps/p/prv/pr/wdtn/pq/pqn): environment (geographic feature, building type, etc.) the narrative work is set in, significant place, depicts
7. narrative location, also known as set in location, set in, setting, setting location, setting of work (wd:P840 as wdt/psv/psn/prn/pqv/ps/p/prv/pr/wdtn/pq/pqn): the narrative of the work is set in this location, significant place, depicts
8. location of discovery, also known as found in, location of discovered object, place of discovery, site of discovery, source (wd:P189 as wdt/psv/psn/prn/pqv/ps/p/prv/pr/wdtn/pq/pqn): where the item was located when discovered, significant place
9. spatial reference system, also known as coordinate reference system, CRS, SRS (wd:P3037 as wdt/psv/psn/prn/pqv/ps/p/prv/pr/wdtn/pq/pqn): frame of reference used to produce a map
10. coordinates of geographic center, also known as coordinates of geographic centre, geographic centre, geographic center, geographical midpoint, geographical centre (wd:P5140 as wdt/psv/psn/prn/pqv/ps/p/prv/pr/wdtn/pq/pqn): coordinates of the center of an area. Use qualifier "determination method" (P459) to indicate how, coordinate location

[Tool]
Top 10 property alternatives:
1. image of function, also known as function range, image, range, function image (wd:P2396 as wdt/psv/psn/prn/pqv/ps/p/prv/pr/wdtn/pq/pqn): set of values that a mathematical function actually takes
2. spherical panorama image, also known as 360-degree panorama image, photosphere panoramic image, photosphere panorama, photosphere image, panorama view 360x180 degrees (wd:P4640 as wdt/psv/psn/prn/pqv/ps/p/prv/pr/wdtn/pq/pqn): image with the field of view 360×180 degrees oyiyi na ubi anya 360×180 degrees, panoramic view
3. image, also known as still capture, still, screenshot, screen capture, portrait (wd:P18 as wdt/psv/psn/prn/pqv/ps/p/prv/pr/wdtn/pq/pqn): image of relevant illustration of the subject; if available, als...tor map, flag image, signature image, logo image, collage image)
4. media legend, also known as video legend, video description, video caption, caption, media description (wd:P2096 as wdt/psv/psn/prn/pqv/ps/p/prv/pr/wdtn/pq/pqn): qualifier to describe the media of the statement. This avoids le...the media is defined at Wikidata. For the date, use P585 instead
5. related image, also known as other version, placeholder image, related picture, replacement image, secondary image (wd:P6802 as wdt/psv/psn/prn/pqv/ps/p/prv/pr/wdtn/pq/pqn): less fitting image, used only because a better alternative is no...ble, use P18 instead. Value should not be a generic placeholder., image
6. image of frontside, also known as obverse, is the backside of, image of obverse, image obverse, has frontside image (wd:P7418 as wdt/psv/psn/prn/pqv/ps/p/prv/pr/wdtn/pq/pqn): image of obverse (front side) of this 2D object
7. source of file, also known as source of image, file source, image source (wd:P7482 as wdt/psv/psn/prn/pqv/ps/p/prv/pr/wdtn/pq/pqn): broad nature of the origin of the file
8. EU Participant Identification Code, also known as EU PIC, PIC (wd:P5785 as wdt/psv/psn/prn/pqv/ps/p/prv/pr/wdtn/pq/pqn): ID of organization participating in EU programmes
9. logo image, also known as masthead, wordmark, trademark, trade mark, sign (wd:P154 as wdt/psv/psn/prn/pqv/ps/p/prv/pr/wdtn/pq/pqn): graphic mark or emblem commonly used by commercial enterprises, organizations and products, icon
10. reference image, also known as image in reference section, ref picture, ref image, reference picture, picture in reference section (wd:P10253 as wdt/psv/psn/prn/pqv/ps/p/prv/pr/wdtn/pq/pqn): image, such as of an inscription, supporting a claim; use togeth...eference" (P3865) in the reference or source part of a statement, image

[Assistant]
The property for "coordinate location" is wd:P625, and for "image" is wd:P18.

Now, let's summarize the properties and entities:
- Cemetery: wd:Q39614
- Norway: wd:Q20
- Commonwealth War Graves Commission burial ground ID: wdt:P1920
- Foreign war churchyards in Norway ID: wdt:P8387
- Coordinate location: wdt:P625
- Image: wdt:P18

We need to find all items that:
- are an instance of (wdt:P31) cemetery (wd:Q39614)
- are located in Norway (wdt:P17 wd:Q20)
- have either a P1920 or P8387 property

For each, we want:
- their coordinates (wdt:P625, optional)
- the relevant ID (P1920 or P8387, optional)
- an image (wdt:P18, optional)

Let's build the SPARQL query accordingly.

[Tool]
Got 39 rows and 6 columns, showing the first 5 and last 5 rows below:
| cemetery                            | cemeteryLabel             | coord                                       | cwgcID  | foreignWarID | image                                                                                |
| ----------------------------------- | ------------------------- | ------------------------------------------- | ------- | ------------ | ----------------------------------------------------------------------------------------- |
| wd:Q113119655                       |                           | POINT(10.052500 61.592500) (geo:wktLiteral) | 2016266 | 275          |                                                                                |
| Eiganes gravlund (wd:Q11966731)     | Eiganes gravlund (en)     | POINT(5.715938 58.967557) (geo:wktLiteral)  | 2016258 | 346          | <http://commons.wikimedia.org/wiki/Special:FilePath/Eiganes%20gravlund%20krematoriet.png> |
| Solheim cemetery (wd:Q12001828)     | Solheim cemetery (en)     | POINT(5.339467 60.369252) (geo:wktLiteral)  |         | 143          | <http://commons.wikimedia.org/wiki/Special:FilePath/Solheim%20kirkeg%C3%A5rd.JPG>         |
| Åndalsnes gravlund (wd:Q12011532)   | Åndalsnes gravlund (en)   | POINT(7.681611 62.564812) (geo:wktLiteral)  | 2016204 |              | <http://commons.wikimedia.org/wiki/Special:FilePath/Aandalsnes-gravlund-norway.jpg>       |
| Vestre gravlund (wd:Q1413698)       | Vestre gravlund (en)      | POINT(10.697222 59.931667) (geo:wktLiteral) | 2016202 | 360          | <http://commons.wikimedia.org/wiki/Special:FilePath/Vestre-gravlund-kapell.jpg>           |
| ...                                 | ...                       | ...                                         | ...     | ...          | ...                                                                                |
| wd:Q97819936                        |                           |                                             |         | 134          |                                                                                |
| Feda Churchyard (wd:Q97820694)      | Feda Churchyard (en)      | POINT(6.821410 58.262840) (geo:wktLiteral)  | 2016219 | 323          |                                                                                |
| Hen Churchyard (wd:Q97872090)       | Hen Churchyard (en)       | POINT(7.791270 62.577820) (geo:wktLiteral)  | 2016229 | 314          |                                                                                |
| Stadsbygd Churchyard (wd:Q97887215) | Stadsbygd Churchyard (en) | POINT(10.008750 63.499050) (geo:wktLiteral) | 2016256 | 348          |                                                                                |
| wd:Q99355640                        |                           | POINT(8.181889 62.911889) (geo:wktLiteral)  |         | 69           |                                                                                |

[Tool] Stopped generation process


PREFIX wd: <http://www.wikidata.org/entity/>
PREFIX wdt: <http://www.wikidata.org/prop/direct/>
SELECT DISTINCT ?genre ?olac_id ?subclass WHERE {
  {
    ?genre wdt:P31 wd:Q659563 .
  } UNION {
    ?genre wdt:P279 ?superclass .
    FILTER ( ?superclass IN ( wd:Q659563 , wd:Q2249149 ) )
  }
  OPTIONAL {
    ?genre wdt:P6352 ?olac_id
  }
  OPTIONAL {
    ?subclass wdt:P279 ?genre
  }
}
LIMIT 100

Got 100 rows and 3 columns, showing the first 5 and last 5 rows below:
| genre                                       | olac_id | subclass                                    |
| ------------------------------------------- | ------- | ------------------------------------------- |
| supernatural video game (wd:Q101900049)     |         | monster video game (wd:Q113258437)          |
| supernatural video game (wd:Q101900049)     |         | supernatural horror game (wd:Q59536813)     |
| spot the difference (wd:Q102040062)         |         |                                             |
| interactive DVD game (wd:Q102128235)        |         |                                             |
| e-business game (wd:Q10269379)              |         |                                             |
| ...                                         | ...     | ...                                         |
| motorcycle video game (wd:Q111411020)       |         | motocross racing video game (wd:Q109942850) |
| motorcycle video game (wd:Q111411020)       |         | superbike racing video game (wd:Q111411588) |
| motorcycle video game (wd:Q111411020)       |         | motorcycle simulation game (wd:Q4304915)    |
| superbike racing video game (wd:Q111411588) |         |                                             |
| isometric RPG (wd:Q111515094)               |         |                                             |

The query returns distinct items that are either instances of video game genres or direct subclasses of video game genres or electronic games. For each genre, it includes the OLAC video game genre vocabulary ID (if available) and any direct subclasses (if available). The result is limited to 100 rows for feasibility.

[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:
wikidata at https://qlever.cs.uni-freiburg.de/api/wikidata

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/
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 a step-by-step approach to generate the SPARQL query:
1. Determine possible entities and properties implied by the user question.
2. Use the functions to search for 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. Use the execute function to get feedback on intermediate queries. You can go back and forth between knowledge graph searches and SPARQL query executions to refine the query.
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 assume or make up any entities or properties without verifying them with the knowledge graphs and functions.
3. 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.
4. 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.
5. 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.
6. For questions with a "True" or "False" answer the SPARQL query should be an ASK query.
7. Do not use 'SERVICE wikibase:label { bd:serviceParam wikibase:language ...' in SPARQL queries. It is not SPARQL standard and unsupported by the used QLever SPARQL endpoints. Use rdfs:label or similar properties to get labels instead.

[User] Which distinct items are instances of video game genres, or subclasses of either video game genres or electronic games? Please return the genre, the OLAC video game genre vocabulary ID (if available), and any subclasses (if available).

[Assistant]
Let's break down the question:

1. We are looking for items that are:
   - Instances of "video game genre"
   - OR subclasses of "video game genre" or "electronic game"

2. For each such item, we want:
   - The genre (item IRI)
   - The OLAC video game genre vocabulary ID (if available)
   - Any subclasses (if available)

First, let's identify the relevant entities:
- "video game genre"
- "electronic game"

Let's search for these entities in Wikidata.

[Tool]
Top 10 entity alternatives:
1. video game genre, also known as genre of video game, video game type, type of video game, genre of computer game, computer game genre (wd:Q659563): video game term; categorization of video games
2. video game genre (wd:L309180-S1)
3. Video game genre ((Online)Games) (wd:Q126279487): scientific article published in 2021
4. OLAC Video Game Genre Terms (wd:Q132159328): rdf datatype
5. OLAC Video Game Genre Vocabulary, also known as OLAC Video Game Vocabulary (wd:Q60440967): controlled vocabulary of video game genres
6. Video game genre, evolution and innovation (wd:Q61655372): scholarly article
7. OLAC video game genre vocabulary ID (wd:P6352): identifier of video game genre vocabulary of the OLAC (Online Audiovisual Catalogers)
8. Facet Analysis of Video Game Genres (wd:Q50192129): scientific article published in March 2014
9. Video game metadata schema: cont...ed vocabulary for gameplay genre (wd:Q132159392): rdf datatype
10. Video Game Metadata Schema: Cont...ed Vocabulary for Gameplay Genre, also known as Video Game Metadata Schema: Controlled Vocabulary for Genre (wd:Q61653431): controlled vocabulary of video game genres

[Assistant]
The main entity for "video game genre" as a concept is wd:Q659563. There is also an OLAC video game genre vocabulary ID property (wd:P6352), which matches the user's request.

Now, let's search for "electronic game" to find its entity.

[Tool]
Top 10 entity alternatives:
1. electronic game (wd:Q2249149): game that employs electronics to create an interactive system with which a player can play
2. handheld electronic game, also known as dedicated handheld, LCD game, Handheld Electronic LCD (wd:Q1797918): small, portable device for playing electronic games
3. Electronic Games (wd:Q4037983): US video game magazine
4. Electronic Game Show, also known as EGS (wd:Q8771302): largest video game convention that takes place in Mexico
5. Electronic mail game (wd:Q128107039)
6. Electronic games (wd:Q70432532): scientific article published on 01 September 1982
7. portable electronic game (wd:Q117209128): type of product; game
8. war-themed video game, also known as war-based electronic game, war video game, video game about war (wd:Q116236667): video game theme
9. Computerized Ping Pong kit, also known as Visulex Electronic Game Kit (wd:Q112860374): Early home video game system
10. Electronic game moment identification (wd:Q123355253): US patent 11344807

[Assistant]
The main entity for "electronic game" as a concept is wd:Q2249149.

Now, let's identify the relevant properties:
- "instance of" (likely wd:P31)
- "subclass of" (likely wd:P279)
- OLAC video game genre vocabulary ID (wd:P6352)

Let's confirm the property IRIs for "instance of" and "subclass of" to be sure.

[Tool]
Top 10 property alternatives:
1. instance of, also known as unitary element of class, has type, unique individual of, type, item of type (wd:P31 as wdt/psv/psn/prn/pqv/ps/p/prv/pr/wdtn/pq/pqn): that class of which this subject is a particular example and mem...is a subclass of mountain (and an instance of volcanic landform)
2. Wikidata property example, also known as e.g., Wikidata property sample, property sample, property example, for example (wd:P1855 as wdt/psv/psn/prn/pqv/ps/p/prv/pr/wdtn/pq/pqn): example where this Wikidata property is used; target item is one...ualifier the property being described given the associated value
3. quantity, also known as amount, total number, total, qty, occurrences (wd:P1114 as wdt/psv/psn/prn/pqv/ps/p/prv/pr/wdtn/pq/pqn): number of instances of this subject in the universe of the subje...e actual number of instances in Wikidata may be lower or higher)
4. subproperty of, also known as subclass of property, superproperty, subPropertyOf, rdfs:subPropertyOf, parent property (wd:P1647 as wdt/psv/psn/prn/pqv/ps/p/prv/pr/wdtn/pq/pqn): all resources related by this property are also related by that property, related property
5. partially coincident with, also known as intersecting with, has overlap with, has common parts with, has common members with, has common instances with (wd:P1382 as wdt/psv/psn/prn/pqv/ps/p/prv/pr/wdtn/pq/pqn): object that partially overlaps with the subject in its instances, parts, or members, different from
6. model item, also known as specimen, sample, featured item, example item, best example (wd:P5869 as wdt/psv/psn/prn/pqv/ps/p/prv/pr/wdtn/pq/pqn): defines which item is a best practice example of modelling a sub...lue of this property, usage instructions at Wikidata:Model items
7. permanent duplicated item, also known as same concept as, same as, duplicate of, permanently duplicated item, duplicate of item (wd:P2959 as wdt/psv/psn/prn/pqv/ps/p/prv/pr/wdtn/pq/pqn): this item duplicates another item and the two can't be merged, a... cdowiki, gomwiki, nanwiki).  Use P31=Q17362920 for other wikis.
8. exemplar of, also known as contains work, includes work, contents (wd:P1574 as wdt/psv/psn/prn/pqv/ps/p/prv/pr/wdtn/pq/pqn): Links an individual copy of a work to the item for that work or edition, instance of
9. usage example, also known as sentence, use in a sentence, example sentence (wd:P5831 as wdt/psv/psn/prn/pqv/ps/p/prv/pr/wdtn/pq/pqn): example of how a lexeme (sense) might be used
10. fictional or mythical analog of, also known as fictionalisation of, mythical analog of, fictional version of, fictionalization of, fictional analog of (wd:P1074 as wdt/psv/psn/prn/pqv/ps/p/prv/pr/wdtn/pq/pqn): used to link an entity or class of entities appearing in a creat...with the analogous entity or class of entities in the real world, inspired by

[Tool]
Top 10 property alternatives:
1. subclass of, also known as rdfs:subClassOf, sort of, subcategory of, subgenre of, subtype of (wd:P279 as wdt/psv/psn/prn/pqv/ps/p/prv/pr/wdtn/pq/pqn): this item is a subclass (subset) of that item; ALL instances of ...stance of volcanic landform); Everest is an instance of mountain
2. is metaclass for, also known as instances are a subclass of, instances are subclasses of, instances are subclass of, is a metaclass for, is a metaclass of (wd:P8225 as wdt/psv/psn/prn/pqv/ps/p/prv/pr/wdtn/pq/pqn): all instances of the subject are subclasses of the object
3. subproperty of, also known as subclass of property, superproperty, subPropertyOf, rdfs:subPropertyOf, parent property (wd:P1647 as wdt/psv/psn/prn/pqv/ps/p/prv/pr/wdtn/pq/pqn): all resources related by this property are also related by that property, related property
4. facet of, also known as subitem of, topic of, subtopic of, subject in, section in (wd:P1269 as wdt/psv/psn/prn/pqv/ps/p/prv/pr/wdtn/pq/pqn): topic of which this item is an aspect; item that offers a broader perspective on the same topic
5. narrower external class, also known as external subclass (wd:P3950 as wdt/psv/psn/prn/pqv/ps/p/prv/pr/wdtn/pq/pqn): more specific subclass included in other ontology but not in Wikidata
6. metasubclass of, also known as metaclass of (wd:P2445 as wdt/psv/psn/prn/pqv/ps/p/prv/pr/wdtn/pq/pqn): relation between two metaclasses: instances of this metaclass ar...subclasses of classes that are instances of the target metaclass
7. part of, also known as of, within, system of, subsystem of, subgroup of (wd:P361 as wdt/psv/psn/prn/pqv/ps/p/prv/pr/wdtn/pq/pqn): object of which the subject is a part (if this subject is alread... of "has part" (P527, see also "has parts of the class" (P2670))
8. equivalent in higher rank taxon, also known as term in larger group, closest concept in higher taxon, term in higher taxon, term in higher-order taxon, subclass of higher-taxon concept (wd:P10019 as wdt/psv/psn/prn/pqv/ps/p/prv/pr/wdtn/pq/pqn): an equivalent class that is species-neutral or scoped to higher ranking taxa, subclass of
9. equivalent class, also known as schema.org type, same kind of thing, same grouping, same class, external class (wd:P1709 as wdt/psv/psn/prn/pqv/ps/p/prv/pr/wdtn/pq/pqn): equivalent class in other ontologies (use property URI), exact match, URL
10. part of the series, also known as series, video game series, subseries, part of series, listed in (wd:P179 as wdt/psv/psn/prn/pqv/ps/p/prv/pr/wdtn/pq/pqn): series which contains the subject, part of

[Assistant]
The properties are:
- "instance of": wd:P31
- "subclass of": wd:P279

Now, let's plan the query:
- Find all items that are either:
  - Instances of "video game genre" (wd:Q659563)
  - Subclasses of "video game genre" (wd:Q659563) or "electronic game" (wd:Q2249149), recursively (to get subclasses of subclasses, etc.)
- For each such item, get:
  - The item IRI
  - The OLAC video game genre vocabulary ID (wd:P6352), if available
  - Any subclasses (wd:P279), if available

To get all subclasses recursively, we can use the property path wdt:P279*.

Let's start building the query.

[Tool]
SPARQL execution failed:
HTTPSConnectionPool(host='qlever.cs.uni-freiburg.de', port=443): Read timed out. (read timeout=30)

[Assistant]
It appears that the query timed out, likely due to the complexity and potential size of the result set, especially with the recursive subclass path and the multiple OPTIONALs.

To address this, I will simplify and optimize the query:
- First, I will retrieve only the distinct genres (items) that are either instances of "video game genre" or subclasses (recursively) of "video game genre" or "electronic game".
- Then, I will separately retrieve their OLAC IDs and subclasses, and finally combine the information.

Let's start by just getting the distinct genres first, to see the scale of the result.

[Tool]
SPARQL execution failed:
HTTPSConnectionPool(host='qlever.cs.uni-freiburg.de', port=443): Read timed out. (read timeout=30)

[Assistant]
The query is still timing out, which suggests that the recursive subclass path (wdt:P279*) is returning a very large number of results, or the endpoint is struggling with the complexity.

To further optimize, I will:
- Limit the recursion depth by using wdt:P279 or wdt:P279+ (one or more steps, but not zero or more).
- Limit the number of results to test feasibility.
- Focus first on direct subclasses and instances, then expand if possible.

Let's try with direct subclasses and instances, and a LIMIT to check the result.

[Tool]
Got 100 rows and 1 column, showing the first 5 and last 5 rows below:
| genre                                                              |
| ------------------------------------------------------------------ |
| supernatural video game (wd:Q101900049)                            |
| spot the difference (wd:Q102040062)                                |
| interactive DVD game (wd:Q102128235)                               |
| e-business game (wd:Q10269379)                                     |
| falling block puzzle game (wd:Q10308060)                           |
| ...                                                                |
| psychological horror video game (wd:Q113940368)                    |
| massively multiplayer online real-time strategy game (wd:Q1143087) |
| interactive fiction (wd:Q1143118)                                  |
| roguelike (wd:Q1143132)                                            |
| black comedy video game (wd:Q114444607)                            |

[Assistant]
The query with direct subclasses and instances works and returns relevant genres. Now, let's expand the query to include:
- The OLAC video game genre vocabulary ID (wd:P6352), if available.
- Any direct subclasses (i.e., items for which this genre is a superclass via wdt:P279).

We will keep the LIMIT for feasibility, but structure the query as requested.

[Tool]
Got 100 rows and 3 columns, showing the first 5 and last 5 rows below:
| genre                                       | olac_id | subclass                                    |
| ------------------------------------------- | ------- | ------------------------------------------- |
| supernatural video game (wd:Q101900049)     |         | monster video game (wd:Q113258437)          |
| supernatural video game (wd:Q101900049)     |         | supernatural horror game (wd:Q59536813)     |
| spot the difference (wd:Q102040062)         |         |                                             |
| interactive DVD game (wd:Q102128235)        |         |                                             |
| e-business game (wd:Q10269379)              |         |                                             |
| ...                                         | ...     | ...                                         |
| motorcycle video game (wd:Q111411020)       |         | motocross racing video game (wd:Q109942850) |
| motorcycle video game (wd:Q111411020)       |         | superbike racing video game (wd:Q111411588) |
| motorcycle video game (wd:Q111411020)       |         | motorcycle simulation game (wd:Q4304915)    |
| superbike racing video game (wd:Q111411588) |         |                                             |
| isometric RPG (wd:Q111515094)               |         |                                             |

[Tool] Stopped generation process


PREFIX wd: <http://www.wikidata.org/entity/>
PREFIX wdt: <http://www.wikidata.org/prop/direct/>
SELECT ?language ( COUNT( DISTINCT ?country ) AS ?countryCount ) WHERE {
  ?country wdt:P31 wd:Q6256 .
  ?country wdt:P37 ?language .
  ?language wdt:P282 ?script .
  {
    ?script wdt:P279 * wd:Q8229 .
  } UNION {
    ?script wdt:P31 ?latinAlphabet .
    ?latinAlphabet wdt:P279 * wd:Q8229 .
  }
}
GROUP BY ?language
ORDER BY DESC ( ?countryCount )

Got 109 rows and 2 columns, showing the first 5 and last 5 rows below:
| language                   | countryCount |
| -------------------------- | ------------ |
| English (wd:Q1860)         | 55 (xsd:int) |
| French (wd:Q150)           | 25 (xsd:int) |
| Spanish (wd:Q1321)         | 18 (xsd:int) |
| Portuguese (wd:Q5146)      | 8 (xsd:int)  |
| German (wd:Q188)           | 6 (xsd:int)  |
| ...                        | ...          |
| Shona (wd:Q34004)          | 1 (xsd:int)  |
| Sango (wd:Q33954)          | 1 (xsd:int)  |
| Northern Sotho (wd:Q33890) | 1 (xsd:int)  |
| Papiamento (wd:Q33856)     | 1 (xsd:int)  |
| Niuean (wd:Q33790)         | 1 (xsd:int)  |

The official languages of countries that use a writing system which is either a subclass of the Latin script or an instance of a Latin-script alphabet, along with the count of countries for each language (in descending order), include: English (55), French (25), Spanish (18), Portuguese (8), German (6), and many others with lower counts.

[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:
wikidata at https://qlever.cs.uni-freiburg.de/api/wikidata

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/
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 a step-by-step approach to generate the SPARQL query:
1. Determine possible entities and properties implied by the user question.
2. Use the functions to search for 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. Use the execute function to get feedback on intermediate queries. You can go back and forth between knowledge graph searches and SPARQL query executions to refine the query.
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 assume or make up any entities or properties without verifying them with the knowledge graphs and functions.
3. 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.
4. 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.
5. 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.
6. For questions with a "True" or "False" answer the SPARQL query should be an ASK query.
7. 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 are the official languages of countries that use a writing system which is either a subclass of the Latin script or an instance of a Latin-script alphabet? Include a count of each language, and order by the count in descending order.

[Assistant]
Let's break down the question:

1. We need to find countries that use a writing system which is either:
   - a subclass of the Latin script, or
   - an instance of a Latin-script alphabet.

2. For those countries, we need to get their official languages.

3. We need to count how many times each language appears as an official language among those countries.

4. The result should be ordered by the count in descending order.

Step 1: Identify entities and properties.
- "Country": likely wd:Q6256 (country)
- "Official language": property for official language (likely wdt:P37)
- "Writing system": property for writing system used by a country (possibly wdt:P282)
- "Latin script": entity for Latin script (likely wd:Q8229)
- "Subclass of": property for subclass (wdt:P279)
- "Instance of": property for instance (wdt:P31)

Step 2: Find the property for "official language".

I'll search for the property "official language".

[Tool]
Top 10 property alternatives:
1. official language, also known as language spoken, spoken in, speaking, language official (wd:P37 as wdt/psv/psn/prn/pqv/ps/p/prv/pr/wdtn/pq/pqn): language designated as official by this item, language used
2. native label, also known as official title, original label, original language label, original language name, original language title (wd:P1705 as wdt/psv/psn/prn/pqv/ps/p/prv/pr/wdtn/pq/pqn): label for the items in their official language  or their original language, name
3. Ethnologue language status, also known as EGIDS, language status (wd:P3823 as wdt/psv/psn/prn/pqv/ps/p/prv/pr/wdtn/pq/pqn): language status identifier by Ethnologue.com using EGIDS scale
4. language regulatory body, also known as language authority, regulatory body (wd:P1018 as wdt/psv/psn/prn/pqv/ps/p/prv/pr/wdtn/pq/pqn): regulatory body of a language
5. languages spoken, written or signed, also known as language of expression, language, wrote language, writes language, uses language (wd:P1412 as wdt/psv/psn/prn/pqv/ps/p/prv/pr/wdtn/pq/pqn): language(s) that a person or a people speaks, writes or signs, including the native language(s)
6. native language, also known as first language, L1 speaker of, language native, mother tongue (wd:P103 as wdt/psv/psn/prn/pqv/ps/p/prv/pr/wdtn/pq/pqn): language or languages a person has learned from early childhood, languages spoken, written or signed
7. language used, also known as languages used, medium of instruction, used language, uses language, working language (wd:P2936 as wdt/psv/psn/prn/pqv/ps/p/prv/pr/wdtn/pq/pqn): language widely used (spoken or written) in this place or at this event or organisation
8. language of work or name, also known as language of the reference, language of URL, language of website, language of work, named in language (wd:P407 as wdt/psv/psn/prn/pqv/ps/p/prv/pr/wdtn/pq/pqn): language associated with this creative work (such as books, show...guage" (P103) and "languages spoken, written or signed" (P1412))
9. programmed in, also known as language, programming language, written in (wd:P277 as wdt/psv/psn/prn/pqv/ps/p/prv/pr/wdtn/pq/pqn): the programming language(s) in which the software is developed
10. writing language, also known as languages of writings, languages written, language written, writing languages, language of works (wd:P6886 as wdt/psv/psn/prn/pqv/ps/p/prv/pr/wdtn/pq/pqn): language in which the writer has written their work, languages spoken, written or signed

[Assistant]
The property for "official language" is wdt:P37.

Step 3: Find the property for "writing system" used by a country.

I'll search for the property "writing system".

[Tool]
Top 10 property alternatives:
1. writing system, also known as script, writing script, written form (wd:P282 as wdt/psv/psn/prn/pqv/ps/p/prv/pr/wdtn/pq/pqn): alphabet, character set or other system of writing used by a language, word, or text, supported by a typeface
2. writing language, also known as languages of writings, languages written, language written, writing languages, language of works (wd:P6886 as wdt/psv/psn/prn/pqv/ps/p/prv/pr/wdtn/pq/pqn): language in which the writer has written their work, languages spoken, written or signed
3. languages spoken, written or signed, also known as language of expression, language, wrote language, writes language, uses language (wd:P1412 as wdt/psv/psn/prn/pqv/ps/p/prv/pr/wdtn/pq/pqn): language(s) that a person or a people speaks, writes or signs, including the native language(s)
4. script style, also known as handwriting style, type style, style of writing, style of script (wd:P9302 as wdt/psv/psn/prn/pqv/ps/p/prv/pr/wdtn/pq/pqn): style of script of a document or typeface
5. typeface/font used, also known as is sample of, typeface used, typeface, lettering, font used (wd:P2739 as wdt/psv/psn/prn/pqv/ps/p/prv/pr/wdtn/pq/pqn): style of type used in a work
6. writable file format, also known as can write, file format written, output file, writes file format (wd:P1073 as wdt/psv/psn/prn/pqv/ps/p/prv/pr/wdtn/pq/pqn): file format a program can create and/or write to
7. handwriting example, also known as example of handwriting, handwriting image, image of handwriting (wd:P12981 as wdt/psv/psn/prn/pqv/ps/p/prv/pr/wdtn/pq/pqn): sample image of the person's handwriting
8. typing discipline, also known as typing, type system (wd:P7078 as wdt/psv/psn/prn/pqv/ps/p/prv/pr/wdtn/pq/pqn): specifies the typing discipline implemented, used, or mandated in a programming language, manifestation of
9. writing technique (wd:P12876 as wdt/psv/psn/prn/pqv/ps/p/prv/pr/wdtn/pq/pqn): technique used for writing on stone, paper or other support, fabrication method
10. letterer, also known as lettering by (wd:P9191 as wdt/psv/psn/prn/pqv/ps/p/prv/pr/wdtn/pq/pqn): person responsible for drawing the comic book's text, word balloons, etc., illustrator

[Assistant]
The property for "writing system" is wdt:P282.

Step 4: Find the entity for "Latin script".

I'll search for the entity "Latin script".

[Tool]
Top 10 entity alternatives:
1. Latin script, also known as Latn, Roman script (wd:Q8229): writing system used to write most Western, Northern and Central European languages
2. Latin script (wd:L406880-S1)
3. Latin script (wd:L742377-S1)
4. Ivan, also known as Ivan (given name), Ivan (Latin script), Ivan (first name) (wd:Q830350): male given name
5. Ɑ, also known as script A, script a, Latin script A, Latin alpha, alpha (wd:Q652798): letter of the Latin alphabet
6. Somali Latin alphabet, also known as Latin script Somali, Latin Somali, Somali in Latin script, Somali Latin orthography, Somali orthography (wd:Q6541770): official Somali writing system
7. Kurdish Latin Script, also known as Kurdish Latin alphabet orthography, Kurdish Latin orthography (wd:Q13175483): Latin-based orthography for Kurdish
8. extended Latin alphabet, also known as extended Latin, extended Latin script (wd:Q3237042): letters of the Latin script family outside of the 26 letters of the basic Latin alphabet
9. Indonesian alphabet, also known as Indonesian writing, Indonesian script, Indonesian Latin script, Indonesian orthography, Abjad Indonesia (wd:Q110829386): ISO basic Latin alphabet without any diacritics, used to write Indonesian language
10. Sylheti in Latin script, also known as Sylheti in Roman script, Sylheti (Latin script), syl-lat, syl-Latn (wd:Q120142383): language in a particular script

[Assistant]
The entity for "Latin script" is wd:Q8229.

Step 5: Find how countries are linked to writing systems.

Usually, countries themselves do not have a direct "writing system" property, but their official languages do. So, we need to:
- Find countries (wd:Q6256)
- For each country, get its official language (wdt:P37)
- For each official language, get its writing system (wdt:P282)
- Filter for writing systems that are either:
  - a subclass of Latin script (wdt:P279* wd:Q8229)
  - or an instance of a Latin-script alphabet (wdt:P31 wd:Q8229 or subclass)

To check if writing system is a subclass or instance, we need to use wdt:P279 (subclass of) and wdt:P31 (instance of).

Step 6: Draft a SPARQL query to find official languages of countries whose official languages use a writing system that is a subclass or instance of Latin script.

I will write a query that:
- Selects ?language (official language)
- Counts how many countries have it as an official language, given the writing system constraint
- Orders by count descending

Let's try a first draft of the query.

[Tool]
Failed to call function execute:
failed to parse input: parse error at position 207 for token PNAME_LN with content 'wdt:P279' (the input most likely does not follow the grammar)

[Assistant]
It seems the parser does not support property paths like wdt:P279* in FILTER. I need to use triples instead of FILTER for subclass/instance traversal.

I'll rewrite the query to use OPTIONAL and UNION blocks for subclass and instance traversal, and avoid property paths in FILTER.

Here's my plan:
- For each language's script, check if:
  - The script is Latin script
  - OR the script is a subclass of Latin script
  - OR the script is an instance of something that is (subclass of) Latin script

I'll try a new query using UNIONs for these cases.

[Tool]
Got 109 rows and 2 columns, showing the first 5 and last 5 rows below:
| language                   | countryCount |
| -------------------------- | ------------ |
| English (wd:Q1860)         | 55 (xsd:int) |
| French (wd:Q150)           | 25 (xsd:int) |
| Spanish (wd:Q1321)         | 18 (xsd:int) |
| Portuguese (wd:Q5146)      | 8 (xsd:int)  |
| German (wd:Q188)           | 6 (xsd:int)  |
| ...                        | ...          |
| Shona (wd:Q34004)          | 1 (xsd:int)  |
| Sango (wd:Q33954)          | 1 (xsd:int)  |
| Northern Sotho (wd:Q33890) | 1 (xsd:int)  |
| Papiamento (wd:Q33856)     | 1 (xsd:int)  |
| Niuean (wd:Q33790)         | 1 (xsd:int)  |

[Tool] Stopped generation process


This query returns individuals who were born in Venezuela, died in Venezuela, or had Venezuelan citizenship, and whose date of birth or date of death falls in the specified years. It includes their dates and places of birth and death if available.

[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:
wikidata at https://qlever.cs.uni-freiburg.de/api/wikidata

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/
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 a step-by-step approach to generate the SPARQL query:
1. Determine possible entities and properties implied by the user question.
2. Use the functions to search for 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. Use the execute function to get feedback on intermediate queries. You can go back and forth between knowledge graph searches and SPARQL query executions to refine the query.
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 assume or make up any entities or properties without verifying them with the knowledge graphs and functions.
3. 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.
4. 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.
5. 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.
6. For questions with a "True" or "False" answer the SPARQL query should be an ASK query.
7. 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 are the individuals who were born in Venezuela, died in Venezuela, or had Venezuelan citizenship in the years 1833, 1834, 1838, 1839, 1841, 1843, 1844-47, 1849-53, 1855-57, 1865-72, 1874, 1876-80, or 1882? Include their dates of birth, places of birth, dates of death, and places of death (all only if available).

[Assistant]
Let's break down the question:

1. We need to find individuals who satisfy at least one of the following:
   - Born in Venezuela
   - Died in Venezuela
   - Had Venezuelan citizenship

2. The individuals must have a relevant event (birth, death, or citizenship) in one of the following years:
   - 1833, 1834, 1838, 1839, 1841, 1843, 1844-1847, 1849-1853, 1855-1857, 1865-1872, 1874, 1876-1880, 1882

3. For each individual, we want (if available):
   - Date of birth
   - Place of birth
   - Date of death
   - Place of death

Step 1: Identify relevant Wikidata properties and entities.
- "Venezuela" entity: Let's search for it.
- "Place of birth": likely P19
- "Place of death": likely P20
- "Date of birth": likely P569
- "Date of death": likely P570
- "Country of citizenship": likely P27

Step 2: Confirm property and entity IDs.

I'll start by searching for "Venezuela" in Wikidata.

[Tool]
Top 10 entity alternatives:
1. Venezuela, also known as BR Venezuela, Bolivarian Republic of Venezuela (wd:Q717): sovereign state in northern South America
2. United States of Venezuela, also known as Venezuela (wd:Q5848651): republic from 1864 to 19576
3. Venezuela (wd:Q8875751): metro station in Buenos Aires
4. Venezuela (wd:Q12060549): song
5. Venezuela, also known as Venezuela Subbarrio, Venezuela, Río Piedras, Venezuela, Puerto Rico, Venezuela, San Juan (wd:Q7919777): subbarrio in Pueblo, San Juan, Puerto Rico
6. INDEPABIS, also known as venezuela (wd:Q5972222): Venezuela's consumer protection agency
7. Venezuela, also known as 24708835jesus chaguan (wd:Q104149732): Anaco
8. Venezuela (wd:Q20600295)
9. Venezuela (wd:Q14513308): genus of arachnids
10. Venezuela (wd:Q37121577): family name

[Tool]
Top 10 property alternatives:
1. place of birth, also known as POB, location of birth, location born, born in, birthplace (wd:P19 as wdt/psv/psn/prn/pqv/ps/p/prv/pr/wdtn/pq/pqn): most specific known birth location of a person, animal or fictional character, location
2. date of birth, also known as year of birth, birthdate, DOB, born on, born (wd:P569 as wdt/psv/psn/prn/pqv/ps/p/prv/pr/wdtn/pq/pqn): date on which the subject was born, inception
3. country of citizenship, also known as subject of (country), nation of citizenship, national of, nationality, nation (wd:P27 as wdt/psv/psn/prn/pqv/ps/p/prv/pr/wdtn/pq/pqn): the object is a country that recognizes the subject as its citizen, country
4. birthday, also known as b-day, bday, birth day (wd:P3150 as wdt/psv/psn/prn/pqv/ps/p/prv/pr/wdtn/pq/pqn): item for day and month on which the subject was born. Used when full "date of birth" (P569) isn't known., date of birth
5. birth name, also known as née, name at birth, name before marriage, ne, né (wd:P1477 as wdt/psv/psn/prn/pqv/ps/p/prv/pr/wdtn/pq/pqn): full name of a person at birth, if different from their current, generally used name, name
6. category for people born here, also known as category for place of birth, category of people born here (wd:P1464 as wdt/psv/psn/prn/pqv/ps/p/prv/pr/wdtn/pq/pqn): category item that groups people born in this place, related category
7. valid in place, also known as applies to country, applies to location, applies to place, country, true in (wd:P3005 as wdt/psv/psn/prn/pqv/ps/p/prv/pr/wdtn/pq/pqn): place where a statement is valid, applies to part
8. country of origin, also known as origin country, place of origin, originates from, country, CoO (wd:P495 as wdt/psv/psn/prn/pqv/ps/p/prv/pr/wdtn/pq/pqn): country of origin of this item (creative work, food, phrase, product, etc.), significant place, country
9. country, also known as sovereign state, state, land, host country (wd:P17 as wdt/psv/psn/prn/pqv/ps/p/prv/pr/wdtn/pq/pqn): sovereign state that this item is in (not to be used for human beings), located in the administrative territorial entity
10. commemorates, also known as monument to, memorial to, memorializes, marks, in memory of (wd:P547 as wdt/psv/psn/prn/pqv/ps/p/prv/pr/wdtn/pq/pqn): what the place, monument, memorial, or holiday, commemorates, main subject

[Tool]
Top 10 property alternatives:
1. place of death, also known as POD, location of death, killed in, deathplace, died in (wd:P20 as wdt/psv/psn/prn/pqv/ps/p/prv/pr/wdtn/pq/pqn): most specific known (e.g. city instead of country, or hospital i... city) death location of a person, animal or fictional character, location
2. place of burial, also known as interment, interment location, interment place, interred at, location of burial (wd:P119 as wdt/psv/psn/prn/pqv/ps/p/prv/pr/wdtn/pq/pqn): location of grave, resting place, place of ash-scattering, etc. ...veral places: e.g., re-burials, parts of body buried separately., location
3. date of death, also known as DOD, deathdate, died, died on, year of death (wd:P570 as wdt/psv/psn/prn/pqv/ps/p/prv/pr/wdtn/pq/pqn): dissolved, abolished or demolished date, date on which the subject died, end time
4. category for people who died here, also known as category for place of death, category of people who died here (wd:P1465 as wdt/psv/psn/prn/pqv/ps/p/prv/pr/wdtn/pq/pqn): category item for people who died in this location, related category
5. manner of death, also known as type of death, nature of death, death manner, death type, circumstance of death (wd:P1196 as wdt/psv/psn/prn/pqv/ps/p/prv/pr/wdtn/pq/pqn): general circumstances of a person's death; e.g. natural causes, ...ysiological mechanism, e.g. heart attack, trauma, pneumonia etc.
6. number of deaths, also known as dead, qty fatalities, qty deaths, number of fatalities, fatalities (wd:P1120 as wdt/psv/psn/prn/pqv/ps/p/prv/pr/wdtn/pq/pqn): total (cumulative) number of people who died since start as a direct result of an event or cause
7. category for people buried here, also known as buried here: Wikimedia category for, category of people buried here, category for place of burial, category for burials (wd:P1791 as wdt/psv/psn/prn/pqv/ps/p/prv/pr/wdtn/pq/pqn): Wikimedia category for people with a burial site within this area, related category
8. cause of death, also known as death cause, murder method, method of murder, die of, die from (wd:P509 as wdt/psv/psn/prn/pqv/ps/p/prv/pr/wdtn/pq/pqn): underlying or immediate cause of death.  Underlying cause (e.g. ...adest category, e.g. natural causes, accident, homicide, suicide
9. date of burial or cremation, also known as burial date, cremation date, date of cremation, funeral date (wd:P4602 as wdt/psv/psn/prn/pqv/ps/p/prv/pr/wdtn/pq/pqn): date on which the person was buried or cremated soon after death, point in time
10. commemorates, also known as monument to, memorial to, memorializes, marks, in memory of (wd:P547 as wdt/psv/psn/prn/pqv/ps/p/prv/pr/wdtn/pq/pqn): what the place, monument, memorial, or holiday, commemorates, main subject

[Tool]
Top 10 property alternatives:
1. date of birth, also known as year of birth, birthdate, DOB, born on, born (wd:P569 as wdt/psv/psn/prn/pqv/ps/p/prv/pr/wdtn/pq/pqn): date on which the subject was born, inception
2. place of birth, also known as POB, location of birth, location born, born in, birthplace (wd:P19 as wdt/psv/psn/prn/pqv/ps/p/prv/pr/wdtn/pq/pqn): most specific known birth location of a person, animal or fictional character, location
3. birthday, also known as b-day, bday, birth day (wd:P3150 as wdt/psv/psn/prn/pqv/ps/p/prv/pr/wdtn/pq/pqn): item for day and month on which the subject was born. Used when full "date of birth" (P569) isn't known., date of birth
4. country of citizenship, also known as subject of (country), nation of citizenship, national of, nationality, nation (wd:P27 as wdt/psv/psn/prn/pqv/ps/p/prv/pr/wdtn/pq/pqn): the object is a country that recognizes the subject as its citizen, country
5. commemorates, also known as monument to, memorial to, memorializes, marks, in memory of (wd:P547 as wdt/psv/psn/prn/pqv/ps/p/prv/pr/wdtn/pq/pqn): what the place, monument, memorial, or holiday, commemorates, main subject
6. birth name, also known as née, name at birth, name before marriage, ne, né (wd:P1477 as wdt/psv/psn/prn/pqv/ps/p/prv/pr/wdtn/pq/pqn): full name of a person at birth, if different from their current, generally used name, name
7. date of death, also known as DOD, deathdate, died, died on, year of death (wd:P570 as wdt/psv/psn/prn/pqv/ps/p/prv/pr/wdtn/pq/pqn): dissolved, abolished or demolished date, date on which the subject died, end time
8. inception, also known as initial release date, founded in, founded on, founded on date, founding date (wd:P571 as wdt/psv/psn/prn/pqv/ps/p/prv/pr/wdtn/pq/pqn): time when an entity begins to exist; for date of official opening use P1619, start time
9. website username or ID, also known as user name, website username, website ID, username in social media, username (wd:P554 as wdt/psv/psn/prn/pqv/ps/p/prv/pr/wdtn/pq/pqn): username or identifier on a website that the person or movement ... account on, for use as qualifier of "website account on" (P553)
10. pseudonym, also known as nom de plume, nom-de-plume, nome de guerre, pen name, ring name (wd:P742 as wdt/psv/psn/prn/pqv/ps/p/prv/pr/wdtn/pq/pqn): alias used by someone (for nickname use P1449), name

[Tool]
Top 10 property alternatives:
1. date of death, also known as DOD, deathdate, died, died on, year of death (wd:P570 as wdt/psv/psn/prn/pqv/ps/p/prv/pr/wdtn/pq/pqn): dissolved, abolished or demolished date, date on which the subject died, end time
2. place of death, also known as POD, location of death, killed in, deathplace, died in (wd:P20 as wdt/psv/psn/prn/pqv/ps/p/prv/pr/wdtn/pq/pqn): most specific known (e.g. city instead of country, or hospital i... city) death location of a person, animal or fictional character, location
3. date of birth, also known as year of birth, birthdate, DOB, born on, born (wd:P569 as wdt/psv/psn/prn/pqv/ps/p/prv/pr/wdtn/pq/pqn): date on which the subject was born, inception
4. date of burial or cremation, also known as burial date, cremation date, date of cremation, funeral date (wd:P4602 as wdt/psv/psn/prn/pqv/ps/p/prv/pr/wdtn/pq/pqn): date on which the person was buried or cremated soon after death, point in time
5. number of deaths, also known as dead, qty fatalities, qty deaths, number of fatalities, fatalities (wd:P1120 as wdt/psv/psn/prn/pqv/ps/p/prv/pr/wdtn/pq/pqn): total (cumulative) number of people who died since start as a direct result of an event or cause
6. birthday, also known as b-day, bday, birth day (wd:P3150 as wdt/psv/psn/prn/pqv/ps/p/prv/pr/wdtn/pq/pqn): item for day and month on which the subject was born. Used when full "date of birth" (P569) isn't known., date of birth
7. commemorates, also known as monument to, memorial to, memorializes, marks, in memory of (wd:P547 as wdt/psv/psn/prn/pqv/ps/p/prv/pr/wdtn/pq/pqn): what the place, monument, memorial, or holiday, commemorates, main subject
8. cause of death, also known as death cause, murder method, method of murder, die of, die from (wd:P509 as wdt/psv/psn/prn/pqv/ps/p/prv/pr/wdtn/pq/pqn): underlying or immediate cause of death.  Underlying cause (e.g. ...adest category, e.g. natural causes, accident, homicide, suicide
9. inception, also known as initial release date, founded in, founded on, founded on date, founding date (wd:P571 as wdt/psv/psn/prn/pqv/ps/p/prv/pr/wdtn/pq/pqn): time when an entity begins to exist; for date of official opening use P1619, start time
10. dissolved, abolished or demolished date, also known as ended, publication end date, final issue, date repealed, final year (wd:P576 as wdt/psv/psn/prn/pqv/ps/p/prv/pr/wdtn/pq/pqn): point in time at which the subject (organisation, building) ceas...g equipment,  "discontinued date" (P2669) for stopping a product, end time

[Tool]
Top 10 property alternatives:
1. country of citizenship, also known as subject of (country), nation of citizenship, national of, nationality, nation (wd:P27 as wdt/psv/psn/prn/pqv/ps/p/prv/pr/wdtn/pq/pqn): the object is a country that recognizes the subject as its citizen, country
2. country for sport, also known as sports nationality, sports country, sport nationality, sporting nationality, sport country (wd:P1532 as wdt/psv/psn/prn/pqv/ps/p/prv/pr/wdtn/pq/pqn): country a person or a team represents when playing a sport, country
3. permanent resident of, also known as landed immigrant of, PR (wd:P5389 as wdt/psv/psn/prn/pqv/ps/p/prv/pr/wdtn/pq/pqn): country or region where a person has the legal status of permanent resident
4. occupant, also known as tenant, resident, renter, occupiers, lessee (wd:P466 as wdt/psv/psn/prn/pqv/ps/p/prv/pr/wdtn/pq/pqn): person or organization occupying property, used by
5. ethnic group, also known as ethnic or cultural origin, tribal affiliation, race, people, ethnicity (wd:P172 as wdt/psv/psn/prn/pqv/ps/p/prv/pr/wdtn/pq/pqn): subject's ethnicity (consensus is that a VERY high standard of p...agreed on by scholars, or 3) is fictional and portrayed as such)
6. place of birth, also known as POB, location of birth, location born, born in, birthplace (wd:P19 as wdt/psv/psn/prn/pqv/ps/p/prv/pr/wdtn/pq/pqn): most specific known birth location of a person, animal or fictional character, location
7. residence, also known as living in, place of residence, resided at, resided in, resident in (wd:P551 as wdt/psv/psn/prn/pqv/ps/p/prv/pr/wdtn/pq/pqn): the place where the person is or has been, resident, location
8. right to vote, also known as suffrage (wd:P2964 as wdt/psv/psn/prn/pqv/ps/p/prv/pr/wdtn/pq/pqn): people who have right to vote at this election, referendum, etc.
9. category for people born here, also known as category for place of birth, category of people born here (wd:P1464 as wdt/psv/psn/prn/pqv/ps/p/prv/pr/wdtn/pq/pqn): category item that groups people born in this place, related category
10. A New Nation Votes ID (wd:P12578 as wdt/psv/psn/prn/pqv/ps/p/prv/pr/wdtn/pq/pqn): ID of a person in A New Nation Votes: American Electoral Returns, 1788-1825

[Tool]
Top 10 entity alternatives:
1. human, also known as human being, person, people, nonfictional human, non-fictional human (wd:Q5): any member of Homo sapiens, unique extant species of the genus Homo
2. Homo sapiens, also known as human beings, human, men, human being, humans (wd:Q15978631): species of mammal
3. Homo sapiens, also known as men, man, humans, human beings, human being (wd:Q15978631): species of mammal
4. Uman, also known as Humań (wd:Q208499): city in Cherkasy Oblast in central Ukraine
5. Human (wd:Q849189): 1991 album by Death
6. Human (wd:Q919463): 2008 song by The Killers
7. Human Entertainment, also known as Human, Human Corporation (wd:Q2408214): Japanese video game developer and publisher
8. Human (wd:Q20629223): 2015 film by Yann Arthus-Bertrand
9. Human (wd:Q27921626): 2016 song by Rag'n'Bone Man
10. Human (wd:Q735359): 2008 studio album by Brandy

[Tool]
Got 282 rows and 3 columns, showing the first 10 rows below:
| subject                                  | property                 | object              |
| ---------------------------------------- | ------------------------ | ------------------- |
| Jacinto Convit (wd:Q1371228)             | place of birth (wdt:P19) | Venezuela (wd:Q717) |
| Jhon Murillo (wd:Q19317612)              | place of birth (wdt:P19) | Venezuela (wd:Q717) |
| Jesse Corti (wd:Q1271923)                | place of birth (wdt:P19) | Venezuela (wd:Q717) |
| Daniela Nieves (wd:Q18638747)            | place of birth (wdt:P19) | Venezuela (wd:Q717) |
| Guaicaipuro (wd:Q736122)                 | place of birth (wdt:P19) | Venezuela (wd:Q717) |
| Roberto Maytín (wd:Q5399456)             | place of birth (wdt:P19) | Venezuela (wd:Q717) |
| Oswaldo Palencia (wd:Q16585432)          | place of birth (wdt:P19) | Venezuela (wd:Q717) |
| Georg Möller (wd:Q20885480)              | place of birth (wdt:P19) | Venezuela (wd:Q717) |
| Jennifer Cesar (wd:Q19281834)            | place of birth (wdt:P19) | Venezuela (wd:Q717) |
| María Antonieta Gutiérrez (wd:Q20435093) | place of birth (wdt:P19) | Venezuela (wd:Q717) |
| ...                                      | ...                      | ...                 |

[Tool]
Got 59 rows and 3 columns, showing the first 10 rows below:
| subject                                   | property                 | object              |
| ----------------------------------------- | ------------------------ | ------------------- |
| Rafael Urdaneta (wd:Q471325)              | place of death (wdt:P20) | Venezuela (wd:Q717) |
| Enrico Forcella (wd:Q5379551)             | place of death (wdt:P20) | Venezuela (wd:Q717) |
| Joseph Gumilla (wd:Q3596059)              | place of death (wdt:P20) | Venezuela (wd:Q717) |
| Mercedes Carvajal de Arocha (wd:Q5402254) | place of death (wdt:P20) | Venezuela (wd:Q717) |
| Margherita d'Amico (wd:Q10878183)         | place of death (wdt:P20) | Venezuela (wd:Q717) |
| Bernard Lutic (wd:Q658017)                | place of death (wdt:P20) | Venezuela (wd:Q717) |
| Bolivia Suárez (wd:Q104244526)            | place of death (wdt:P20) | Venezuela (wd:Q717) |
| Dimitrios Demou (wd:Q18539651)            | place of death (wdt:P20) | Venezuela (wd:Q717) |
| Aarne Kauhanen (wd:Q24845494)             | place of death (wdt:P20) | Venezuela (wd:Q717) |
| Carlos Campos (wd:Q55606670)              | place of death (wdt:P20) | Venezuela (wd:Q717) |
| ...                                       | ...                      | ...                 |

[Tool]
Got 8,255 rows and 3 columns, showing the first 10 rows below:
| subject                               | property                         | object              |
| ------------------------------------- | -------------------------------- | ------------------- |
| Hugo Chávez (wd:Q8440)                | country of citizenship (wdt:P27) | Venezuela (wd:Q717) |
| Simón Bolívar (wd:Q8605)              | country of citizenship (wdt:P27) | Venezuela (wd:Q717) |
| Nicolás Maduro (wd:Q58132)            | country of citizenship (wdt:P27) | Venezuela (wd:Q717) |
| Juan Guaidó (wd:Q58833335)            | country of citizenship (wdt:P27) | Venezuela (wd:Q717) |
| Garbiñe Muguruza (wd:Q34276)          | country of citizenship (wdt:P27) | Venezuela (wd:Q717) |
| Baruj Benacerraf (wd:Q234701)         | country of citizenship (wdt:P27) | Venezuela (wd:Q717) |
| Henrique Capriles Radonski (wd:Q8781) | country of citizenship (wdt:P27) | Venezuela (wd:Q717) |
| Salomón Rondón (wd:Q357613)           | country of citizenship (wdt:P27) | Venezuela (wd:Q717) |
| Carlos the Jackal (wd:Q222831)        | country of citizenship (wdt:P27) | Venezuela (wd:Q717) |
| Francisco de Miranda (wd:Q311447)     | country of citizenship (wdt:P27) | Venezuela (wd:Q717) |
| ...                                   | ...                              | ...                 |

[Tool]
Got 100 rows and 1 column, showing the first 5 and last 5 rows below:
| person                                         |
| ---------------------------------------------- |
| Uladzimir Dudzitsky (wd:Q10001579)             |
| Fernando Carrillo (wd:Q1000682)                |
| Rafael Vásquez (wd:Q100165465)                 |
| Victor Daniel Camacaro Cordero (wd:Q100233966) |
| Gala Garrido (wd:Q100256152)                   |
| ...                                            |
| Milangela Tovar (wd:Q104603750)                |
| Iskari Águilar (wd:Q104603751)                 |
| Emelis Ojeda (wd:Q104603753)                   |
| Octavio Sánchez Moreno (wd:Q104603755)         |
| Ghassan Mamo (wd:Q104603758)                   |

[Assistant]
Now that I have confirmed the relevant property and entity IDs, here's my plan:

- We need to filter for individuals who were born in Venezuela (P19=Q717), died in Venezuela (P20=Q717), or had Venezuelan citizenship (P27=Q717).
- We need to restrict to those whose date of birth (P569), date of death (P570), or citizenship (P27 with qualifier start/end date) falls in the specified years.
- For each, we want to retrieve (if available): date of birth (P569), place of birth (P19), date of death (P570), place of death (P20).

The years of interest are: 1833, 1834, 1838, 1839, 1841, 1843, 1844-1847, 1849-1853, 1855-1857, 1865-1872, 1874, 1876-1880, 1882.

The most robust approach is to:
- Find all humans (wd:Q5) who match any of the three Venezuela criteria.
- For each, check if their date of birth or date of death falls in the specified years.
- For citizenship, check if they had Venezuelan citizenship in those years (using qualifiers if available).

I'll start by writing a SPARQL query that:
- Finds humans (wd:Q5)
- Who were born in Venezuela, died in Venezuela, or had Venezuelan citizenship
- Whose date of birth or date of death falls in the specified years

I'll also retrieve the requested information with OPTIONAL clauses.

Let's proceed with the query.

[Tool] Stopped generation process