PREFIX wdt: <http://www.wikidata.org/prop/direct/>
PREFIX wd: <http://www.wikidata.org/entity/>
SELECT ?item ?inception ?commemorates ?image ?coords WHERE {
  ?item wdt:P131 wd:Q1757 .
  ?item wdt:P31 wd:Q4989906 .
  OPTIONAL {
    ?item wdt:P571 ?inception .
  }
  OPTIONAL {
    ?item wdt:P547 ?commemorates .
  }
  OPTIONAL {
    ?item wdt:P18 ?image .
  }
  OPTIONAL {
    ?item wdt:P625 ?coords .
  }
}
ORDER BY ?item

Despite breaking down the query into smaller parts (monument, memorial, statue, and cultural property), each individual query for Helsinki's cultural heritage items with optional labels and details still exceeds the endpoint's memory limits, except for 'cultural property', which returns no results. This prevents me from providing a comprehensive answer that includes all relevant types as requested. The best I can do is the original query for monuments, but this does not meet the user's request for a broader set of cultural heritage items.

[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-sebastian

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 cultural heritage items located in Helsinki? Please provide their year of creation (if available), commemorated entities (if available), images (if available), and coordinates (if available), and order by item ID.

[Assistant]
Let's break down the question:

1. We are looking for "cultural heritage items" located in Helsinki.
2. For each item, we want:
   - Year of creation (if available)
   - Commemorated entities (if available)
   - Images (if available)
   - Coordinates (if available)
3. Results should be ordered by item ID.

Step 1: Identify the entity for Helsinki and the class/property for "cultural heritage item".
- Let's search for "Helsinki" to get its Wikidata entity.
- Let's search for the class/property for "cultural heritage item".

Step 2: Identify properties for:
- Year of creation
- Commemorated entity
- Image
- Coordinates

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

[Tool]
Top 10 entity alternatives:
1. Helsinki, also known as Helsingfors, Helsingia, Helsingin kaupunki, Hesa, Stadi (wd:Q1757): capital and most populous city of Finland
2. Helsinki, also known as Helsingin vaalipiiri, Helsinki (electoral district), Helsinki constituency, Helsingin kaupungin vaalipiiri, Helsingfors valkrets (wd:Q3736245): electoral district of Finland
3. Helsinki, also known as Helsinginkylä, Helsinginranta, Helsinki (Taivassalo) (wd:Q94699533): village in Taivassalo, Finland
4. Helsinki (wd:Q10520602): 1980 Helsinki-class missile boat
5. .helsinki (wd:Q24033265): top-level domain
6. Helsinki (wd:Q97375355): album by Daria Zawiałow
7. Helsinki (wd:Q23041158): album by Häiriköt
8. TC Grace, also known as Helsinki, T.C. Grace, T. C. Grace, IMO 9130236 (wd:Q83585758): general cargo ship built in 1997
9. Helsinki (wd:Q103931698): encyclopedia article
10. Helsinki (wd:Q111905429): episode of Veep

[Tool]
Top 10 entity alternatives:
1. cultural heritage, also known as world heritage, Social heritage, Cultural heritage, culture legacy, Cultural Heritage (wd:Q210272): physical artifact or intangible attribute of a society inherited from past generations
2. Cultural heritage (wd:Q18400454): Russian Foundation for Supporting the Traditions of the Russian Academic School of Painting
3. Cultural Heritage (wd:Q63718143): Chinese journal
4. Cultural Heritage (wd:Q123303864): 1973 film by Jeremy Murray-Brown
5. cultural heritage (wd:L697756-S1)
6. cultural heritage (wd:L654957-S1)
7. cultural heritage (wd:L414071-S1)
8. cultural heritage (wd:L1357591-S1)
9. Intangible Cultural Heritage (wd:Q84036549): class of UNESCO designated cultural heritage
10. cultural policy, also known as arts policy, art policy, diversity policy, cultural heritage policy (wd:Q1711347): policy intended to impact the arts, language, heritage, or diversity

[Tool]
Top 10 entity alternatives:
1. heritage designation (wd:Q30634609): act or effect of recognizing the historical, artistic or cultural value of a property
2. heritage designation, also known as designated heritage, designated property (wd:Q17504995): heritage property designation by a municipality of British Columbia, providing municipal protection for the property.
3. heritage designation, also known as protection, protected status, listing, listed status, heritage status (wd:P1435): heritage designation of a cultural or natural site
4. Australian heritage designation, also known as Australian heritage status (wd:Q47457179)
5. Representative List of the Intangible Cultural Heritage of Humanity, also known as United Nations Educational, Scie...ion Intangible Cultural Heritage, UNESCO Intangible Cultural Heritage designation, Intangible Cultural Heritage Home, Intangible Cultural Heritage, RL (wd:Q110319947): UNESCO Intangible Cultural Heritage list of intangible heritage ...ersity of this heritage and raise awareness about its importance
6. Classification of Built Heritage in Portugal, also known as cultural heritage designation in Portugal (wd:Q11790): classification and protection of heritage in Portugal
7. Heritage designation for Canton Thurgau (wd:Q97478013)
8. designated heritage property (part IV), also known as Municipal Heritage Designation (Part IV) (wd:Q15080599): heritage property protected by a municipality of Ontario
9. Intangible Cultural Heritage national designation, also known as national designation for Intangible Cultural Heritage (wd:Q113128961): designation of officially recognized intangible cultural heritage in national inventories and registers
10. Flemish Heritage designation object ID (wd:P11389): identifier for a designation object in the database of the Flemish organization for Immovable Heritage

[Tool]
Top 10 entity alternatives:
1. monument, also known as monuments (wd:Q4989906): imposing structure created to commemorate a person or event, or used for that purpose
2. monument, also known as monuments (wd:Q4989906): imposing structure created to commemorate a person or event, or used for that purpose
3. Monument, also known as Monument, CO, Monument, Colorado (wd:Q1003709): town in El Paso County, Colorado, United States
4. Monument, also known as Monument, OR, Monument, Oregon (wd:Q3458939): city in Oregon, USA
5. Monument, also known as Monument, PA, Monument, Pennsylvania (wd:Q961421): census designated place in Centre County, Pennsylvania, United States
6. Monument, also known as Monument, New Mexico, Monument, NM (wd:Q6022902): human settlement in New Mexico, United States of America
7. Monument (wd:Q3862571): 1983 live album by Ultravox
8. Monument, also known as Monument, KS, Monument, Kansas (wd:Q6906784): unincorporated community in Logan County, Kansas
9. Monument (wd:Q105123633): 2021 single by KEiiNO
10. Monument (wd:Q3323226): album by Miss May I

[Tool]
Top 10 entity alternatives:
1. cultural property (wd:Q2065736): structures and works designated as representing cultural heritage
2. conservation and restoration of cultural property, also known as cultural property preservation, rehabilitation (wd:Q46993143): process of restoring and/or conserving tangible cultural heritag...on, without changing constructive and/or characteristic elements
3. Important Cultural Property of Japan, also known as Important Cultural Properties of Japan, Important Cultural Property (wd:Q1188622): item judged by the Agency for Cultural Affairs to be of particular importance to the Japanese people
4. art repatriation, also known as cultural property repatriation, restitution (wd:Q873642): return of art or cultural heritage (often ancient or looted) to their country of origin or (heirs of) former owners
5. Radovanjski Lug, also known as a place of historical importance, immovable cultural property, memorial complex (wd:Q1782549): memorial complex near Velika Plana, Serbia
6. tangible cultural heritage, also known as tangible cultural property (wd:Q12610093): physical artifact of cultural significance
7. buried cultural property (wd:Q11425912)
8. cultural property law (wd:Q5193395): body of law that regulates culturally significant material
9. Important Cultural Property, also known as Important Cultural Property of the Philippines (wd:Q25036854): cultural heritage status designated by the National Museum of the Philippines
10. Cultural Property Crime (wd:Q61977046): scientific article published on 7 January 2017

[Tool]
Top 10 property alternatives:
1. location, also known as neighbourhood, whereabouts, vilage, venue, town (wd:P276 as pqv/wdt/p/prn/pr/prv/psv/ps/wdtn/pqn/psn/pq): location of the object, structure or event. In the case of an ad...ity use P706. Use P7153 for locations associated with the object
2. located in the administrative territorial entity, also known as is in the settlement of, is in the voivodeship of, is in the shire of, is in the state of, is in the territory of (wd:P131 as pqv/wdt/p/prn/pr/prv/psv/ps/wdtn/pqn/psn/pq): the item is located on the territory of the following administra...if the item falls only partially into the administrative entity., location, part of
3. occupant, also known as tenant, resident, renter, occupiers, lessee (wd:P466 as pqv/wdt/p/prn/pr/prv/psv/ps/wdtn/pqn/psn/pq): person or organization occupying property, used by
4. headquarters location, also known as headquarters locality, seat, headquarters town, HQ, HQ location (wd:P159 as pqv/wdt/p/prn/pr/prv/psv/ps/wdtn/pqn/psn/pq): city or town where an organization's headquarters is or has been situated. Use P276 qualifier for specific building, significant place
5. adjacent building, also known as next to, neighboring building, located next to, adjoining building (wd:P3032 as pqv/wdt/p/prn/pr/prv/psv/ps/wdtn/pqn/psn/pq): building adjacent to the item, connects with
6. operating area, also known as province served, serves jurisdiction, serves geographic region, serves geographic area, serves area (wd:P2541 as pqv/wdt/p/prn/pr/prv/psv/ps/wdtn/pqn/psn/pq): geographic area or jurisdiction an organisation or industry operates in, serves, or has responsibility for, location
7. set in environment, also known as set in location, takes place in, setting location, playing in, narrative set in (wd:P8411 as pqv/wdt/p/prn/pr/prv/psv/ps/wdtn/pqn/psn/pq): environment (geographic feature, building type, etc.) the narrative work is set in, significant place, depicts
8. narrative location, also known as set in location, set in, setting, setting location, setting of work (wd:P840 as pqv/wdt/p/prn/pr/prv/psv/ps/wdtn/pqn/psn/pq): the narrative of the work is set in this location, significant place, depicts
9. located in the present-day administrative territorial entity, also known as present-day administrative territorial entity, located in the current administrative territorial entity, located in the modern-day administrative territorial entity, located in the present-day administrative territorial entity, would today be located in administrative territorial entity (wd:P3842 as pqv/wdt/p/prn/pr/prv/psv/ps/wdtn/pqn/psn/pq): the item was located in the territory of this present-day administrative unit; however the two did not at any point coexist in time, location, part of
10. coordinate location, also known as point on a map, gps coordinates, gps location, latitude, location (wd:P625 as pqv/wdt/p/prn/pr/prv/psv/ps/wdtn/pqn/psn/pq): geocoordinates of the subject. For Earth, please note that only WGS84 coordinating system is supported at the moment

[Tool]
Top 10 property alternatives:
1. inception, also known as initial release date, founded in, founded on, founded on date, founding date (wd:P571 as pqv/wdt/p/prn/pr/prv/psv/ps/wdtn/pqn/psn/pq): time when an entity begins to exist; for date of official opening use P1619, start time
2. time of discovery or invention, also known as invented in, time of invention, time of discovery, invention time, invented on (wd:P575 as pqv/wdt/p/prn/pr/prv/psv/ps/wdtn/pqn/psn/pq): date or point in time when the item was discovered or invented
3. location of creation, also known as manufactured in, manufacturing location, mint, minted at, photographed at (wd:P1071 as pqv/wdt/p/prn/pr/prv/psv/ps/wdtn/pqn/psn/pq): place where the item was conceived or made; where applicable, location of final assembly, significant place
4. created during, also known as created at, event of media file, taken at, taken during (wd:P10408 as pqv/wdt/p/prn/pr/prv/psv/ps/wdtn/pqn/psn/pq): media file created during a specific event or occurrence (for use on Wikimedia Commons)
5. point in time, also known as at time, as of, year, when, time of event (wd:P585 as pqv/wdt/p/prn/pr/prv/psv/ps/wdtn/pqn/psn/pq): date something took place, existed or a statement was true; for providing time use the "refine date" property (P4241)
6. production date, also known as date of production, filming date, filming time, production date, year of production (wd:P2754 as pqv/wdt/p/prn/pr/prv/psv/ps/wdtn/pqn/psn/pq): period of active production of (creative) work; the only date st... publication date (P577); in general cases, use inception (P571)
7. year of publication of scientific name for taxon, also known as taxon year, year of scientific description, taxon date, described in, date of taxon description publication (wd:P574 as pqv/wdt/p/prn/pr/prv/psv/ps/wdtn/pqn/psn/pq): year when this taxon was formally described (for animals); year when this taxon name was formally established (for plants), publication date
8. collection creator, also known as creator, archive creator, collector, archives of, archive of (wd:P6241 as pqv/wdt/p/prn/pr/prv/psv/ps/wdtn/pqn/psn/pq): entity (person, organization, etc.) that caused a record or collection to be produced or gathered
9. founded by, also known as starter, co-founded by, started by, institutor, instituted by (wd:P112 as pqv/wdt/p/prn/pr/prv/psv/ps/wdtn/pqn/psn/pq): founder or co-founder of this organization, religion, place or entity, creator
10. creator, also known as created by, visual artist, sculptor, sculpted by, realized by (wd:P170 as pqv/wdt/p/prn/pr/prv/psv/ps/wdtn/pqn/psn/pq): maker of this creative work or other object (where no more specific property exists)

[Tool]
Top 10 property alternatives:
1. commemorates, also known as monument to, memorial to, memorializes, marks, in memory of (wd:P547 as pqv/wdt/p/prn/pr/prv/psv/ps/wdtn/pqn/psn/pq): what the place, monument, memorial, or holiday, commemorates, main subject
2. created for, also known as cause of creation, commissioned for, made for, occasion, on the occasion of (wd:P9883 as pqv/wdt/p/prn/pr/prv/psv/ps/wdtn/pqn/psn/pq): a work, event, etc. for which the subject work was created (e.g.... play was created for; a film that a screenplay was written for)
3. dedicated to, also known as dedication, dedicatee, tribute to (wd:P825 as pqv/wdt/p/prn/pr/prv/psv/ps/wdtn/pqn/psn/pq): person or organization to whom the subject was dedicated
4. symbol represents, also known as notation represents, representing, represents, symbol representing (wd:P9758 as pqv/wdt/p/prn/pr/prv/psv/ps/wdtn/pqn/psn/pq): qualifier for "in defining formula" (P7235) which indicates the ...erator represented by a symbol in the "defining formula" (P2534)
5. Wikidata item of this property, also known as associated item, Wikidata property subject item, Wikidata item for this property, subject of this property, subject of property (wd:P1629 as pqv/wdt/p/prn/pr/prv/psv/ps/wdtn/pqn/psn/pq): item corresponding to the concept represented by the property
6. represents, also known as represents organisation, stands for, symbolises, symbolizes, team for (wd:P1268 as pqv/wdt/p/prn/pr/prv/psv/ps/wdtn/pqn/psn/pq): organization, individual, or concept that an entity represents
7. depicts, also known as portrays, presents, preserves, quotes, represents (wd:P180 as pqv/wdt/p/prn/pr/prv/psv/ps/wdtn/pqn/psn/pq): entity visually depicted in an image, literarily described in a ...o an audiovisual or other medium; see also P921,  'main subject', has part(s)
8. symbolizes, also known as notates, symbolises, symbol for, notation for, a symbol for (wd:P4878 as pqv/wdt/p/prn/pr/prv/psv/ps/wdtn/pqn/psn/pq): symbolism of an artistic element; can also be used as a qualifier for "depicts" (P180) statements, represents
9. symbol of, also known as emblem of, flag of, logo of, seal of, symbolises (wd:P8058 as pqv/wdt/p/prn/pr/prv/psv/ps/wdtn/pqn/psn/pq): item of which the image is a symbol
10. posthumous name, also known as Honor Death (wd:P1786 as pqv/wdt/p/prn/pr/prv/psv/ps/wdtn/pqn/psn/pq): name given to a person after death (East Asia)

[Tool]
Top 10 property alternatives:
1. image of function, also known as function range, image, range, function image (wd:P2396 as pqv/wdt/p/prn/pr/prv/psv/ps/wdtn/pqn/psn/pq): 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 pqv/wdt/p/prn/pr/prv/psv/ps/wdtn/pqn/psn/pq): 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 pqv/wdt/p/prn/pr/prv/psv/ps/wdtn/pqn/psn/pq): 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 pqv/wdt/p/prn/pr/prv/psv/ps/wdtn/pqn/psn/pq): 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 pqv/wdt/p/prn/pr/prv/psv/ps/wdtn/pqn/psn/pq): 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 pqv/wdt/p/prn/pr/prv/psv/ps/wdtn/pqn/psn/pq): 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 pqv/wdt/p/prn/pr/prv/psv/ps/wdtn/pqn/psn/pq): broad nature of the origin of the file
8. EU Participant Identification Code, also known as EU PIC, PIC (wd:P5785 as pqv/wdt/p/prn/pr/prv/psv/ps/wdtn/pqn/psn/pq): ID of organization participating in EU programmes
9. logo image, also known as masthead, wordmark, trademark, trade mark, sign (wd:P154 as pqv/wdt/p/prn/pr/prv/psv/ps/wdtn/pqn/psn/pq): 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 pqv/wdt/p/prn/pr/prv/psv/ps/wdtn/pqn/psn/pq): image, such as of an inscription, supporting a claim; use togeth...eference" (P3865) in the reference or source part of a statement, image

[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 pqv/wdt/p/prn/pr/prv/psv/ps/wdtn/pqn/psn/pq): 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 pqv/wdt/p/prn/pr/prv/psv/ps/wdtn/pqn/psn/pq): 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 pqv/wdt/p/prn/pr/prv/psv/ps/wdtn/pqn/psn/pq): 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 pqv/wdt/p/prn/pr/prv/psv/ps/wdtn/pqn/psn/pq): 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 pqv/wdt/p/prn/pr/prv/psv/ps/wdtn/pqn/psn/pq): 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 pqv/wdt/p/prn/pr/prv/psv/ps/wdtn/pqn/psn/pq): 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 pqv/wdt/p/prn/pr/prv/psv/ps/wdtn/pqn/psn/pq): 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 pqv/wdt/p/prn/pr/prv/psv/ps/wdtn/pqn/psn/pq): 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 pqv/wdt/p/prn/pr/prv/psv/ps/wdtn/pqn/psn/pq): 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 pqv/wdt/p/prn/pr/prv/psv/ps/wdtn/pqn/psn/pq): 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]
Got 65,536 rows and 3 columns, showing the first 10 rows below:
| subject                               | property              | object                          |
| ------------------------------------- | --------------------- | ------------------------------- |
| Persepolis (wd:Q129072)               | instance of (wdt:P31) | cultural property (wd:Q2065736) |
| Sistine Chapel (wd:Q2943)             | instance of (wdt:P31) | cultural property (wd:Q2065736) |
| Behistun Inscription (wd:Q180012)     | instance of (wdt:P31) | cultural property (wd:Q2065736) |
| Pasargadae (wd:Q230025)               | instance of (wdt:P31) | cultural property (wd:Q2065736) |
| Drottningholm Palace (wd:Q208559)     | instance of (wdt:P31) | cultural property (wd:Q2065736) |
| Pietà (wd:Q235242)                    | instance of (wdt:P31) | cultural property (wd:Q2065736) |
| Palace of Caserta (wd:Q327983)        | instance of (wdt:P31) | cultural property (wd:Q2065736) |
| Jameh Mosque of Isfahan (wd:Q1256501) | instance of (wdt:P31) | cultural property (wd:Q2065736) |
| Golestan Palace (wd:Q210610)          | instance of (wdt:P31) | cultural property (wd:Q2065736) |
| Urnes Stave Church (wd:Q210678)       | instance of (wdt:P31) | cultural property (wd:Q2065736) |
| ...                                   | ...                   | ...                             |

[Tool]
Got 12,458 rows and 3 columns, showing the first 10 rows below:
| subject                                             | property                                                    | object              |
| --------------------------------------------------- | ----------------------------------------------------------- | ------------------- |
| University of Helsinki (wd:Q28695)                  | located in the administrative territorial entity (wdt:P131) | Helsinki (wd:Q1757) |
| Eurovision Song Contest 2007 (wd:Q10153)            | located in the administrative territorial entity (wdt:P131) | Helsinki (wd:Q1757) |
| Suomenlinna (wd:Q1292442)                           | located in the administrative territorial entity (wdt:P131) | Helsinki (wd:Q1757) |
| Helsinki Metro (wd:Q207287)                         | located in the administrative territorial entity (wdt:P131) | Helsinki (wd:Q1757) |
| Helsinki Cathedral (wd:Q738015)                     | located in the administrative territorial entity (wdt:P131) | Helsinki (wd:Q1757) |
| Helsinki Olympic Stadium (wd:Q332219)               | located in the administrative territorial entity (wdt:P131) | Helsinki (wd:Q1757) |
| Helsinki Halli (wd:Q33176)                          | located in the administrative territorial entity (wdt:P131) | Helsinki (wd:Q1757) |
| Helsinki Central Railway Station (wd:Q1044613)      | located in the administrative territorial entity (wdt:P131) | Helsinki (wd:Q1757) |
| Finnish Defence Forces (wd:Q327042)                 | located in the administrative territorial entity (wdt:P131) | Helsinki (wd:Q1757) |
| basketball at the 1952 Summer Olympics (wd:Q594714) | located in the administrative territorial entity (wdt:P131) | Helsinki (wd:Q1757) |
| ...                                                 | ...                                                         | ...                 |

[Tool] Got no rows and 1 columns

[Tool]
SPARQL execution failed:
Invalid SPARQL query: Variable ?item is selected but not aggregated. All non-aggregated variables must be part of the GROUP BY clause.

[Tool]
Got 923 rows and 1 column, showing the first 5 and last 5 rows below:
| type                                               |
| -------------------------------------------------- |
| art gallery (wd:Q1007870)                          |
| Jewish community (wd:Q101063310)                   |
| upper secondary school in Finland (wd:Q101244523)  |
| music school (wd:Q1021290)                         |
| office building (wd:Q1021645)                      |
| ...                                                |
| cultural center (wd:Q98792435)                     |
| place (wd:Q98929991)                               |
| shelter (wd:Q989946)                               |
| architecture of geographic location (wd:Q99527323) |
| book fair (wd:Q998672)                             |

[Tool]
Got 11 rows and 1 column, showing the first 5 and last 5 rows below:
| item                                                                               |
| ---------------------------------------------------------------------------------- |
| Planet (wd:Q111996048)                                                             |
| Alexander II memorial (wd:Q11850682)                                               |
| Juutalaispakolaisten muistomerkk...fugees - Hands Begging for Mercy (wd:Q11852383) |
| Mortuis (wd:Q25453630)                                                             |
| Sibelius Monument (wd:Q2584017)                                                    |
| ...                                                                                |
| National Memorial to the Winter War (wd:Q48075469)                                 |
| Memorial to Risto Ryti (wd:Q56402301)                                              |
| Relander memorial (wd:Q56402382)                                                   |
| Sodanajan naisen muistomerkki (wd:Q56402639)                                       |
| betula verrucosa, Metsätalo, Helsinki (wd:Q87993018)                               |

[Tool] Got no rows and 1 columns

[Tool]
Got 11 rows and 1 column, showing the first 5 and last 5 rows below:
| item                                                                               |
| ---------------------------------------------------------------------------------- |
| Planet (wd:Q111996048)                                                             |
| Alexander II memorial (wd:Q11850682)                                               |
| Juutalaispakolaisten muistomerkk...fugees - Hands Begging for Mercy (wd:Q11852383) |
| Mortuis (wd:Q25453630)                                                             |
| Sibelius Monument (wd:Q2584017)                                                    |
| ...                                                                                |
| National Memorial to the Winter War (wd:Q48075469)                                 |
| Memorial to Risto Ryti (wd:Q56402301)                                              |
| Relander memorial (wd:Q56402382)                                                   |
| Sodanajan naisen muistomerkki (wd:Q56402639)                                       |
| betula verrucosa, Metsätalo, Helsinki (wd:Q87993018)                               |

[Tool]
Got 18 rows and 5 columns, showing the first 5 and last 5 rows below:
| item                                                                               | inception                           | commemorates                         | image                                                                                | coords                                      |
| ---------------------------------------------------------------------------------- | ----------------------------------- | ------------------------------------ | ----------------------------------------------------------------------------------------------------------------------- | ------------------------------------------- |
| Planet (wd:Q111996048)                                                             |                                     |                                      |                                                                                | POINT(24.918917 60.226961) (geo:wktLiteral) |
| Alexander II memorial (wd:Q11850682)                                               | 1894-01-01T00:00:00Z (xsd:dateTime) |                                      | <http://commons.wikimedia.org/wiki/Special:FilePath/11-07-29-helsinki-by-RalfR-149.jpg>                                 | POINT(24.952282 60.169502) (geo:wktLiteral) |
| Juutalaispakolaisten muistomerkk...fugees - Hands Begging for Mercy (wd:Q11852383) |                                     |                                      |                                                                                | POINT(24.954478 60.162656) (geo:wktLiteral) |
| Juutalaispakolaisten muistomerkk...fugees - Hands Begging for Mercy (wd:Q11852383) |                                     |                                      |                                                                                | POINT(24.953732 60.163290) (geo:wktLiteral) |
| Mortuis (wd:Q25453630)                                                             | 1951-01-01T00:00:00Z (xsd:dateTime) | Vallisaari disaster (wd:Q11900176)   |                                                                                | POINT(24.986412 60.142010) (geo:wktLiteral) |
| ...                                                                                | ...                                 | ...                                  | ...                                                                                | ...                                         |
| Memorial to Risto Ryti (wd:Q56402301)                                              | 1994-01-01T00:00:00Z (xsd:dateTime) | Risto Ryti (wd:Q209435)              |                                                                                | POINT(24.928986 60.177616) (geo:wktLiteral) |
| Relander memorial (wd:Q56402382)                                                   | 1996-01-01T00:00:00Z (xsd:dateTime) | Lauri Kristian Relander (wd:Q214009) |                                                                                | POINT(24.922766 60.176929) (geo:wktLiteral) |
| Relander memorial (wd:Q56402382)                                                   | 1996-01-01T00:00:00Z (xsd:dateTime) | Lauri Kristian Relander (wd:Q214009) |                                                                                | POINT(24.922808 60.176930) (geo:wktLiteral) |
| Sodanajan naisen muistomerkki (wd:Q56402639)                                       | 1996-01-01T00:00:00Z (xsd:dateTime) |                                      |                                                                                | POINT(24.949015 60.181137) (geo:wktLiteral) |
| betula verrucosa, Metsätalo, Helsinki (wd:Q87993018)                               |                                     | Congress 16.7.1949 (wd:Q88012147)    | <http://commons.wikimedia.org/wiki/Special:FilePath/2020-03-06%20Betula%20verrucosa%2C%20Unioninkatu%2C%20Helsinki.JPG> | POINT(24.949930 60.172780) (geo:wktLiteral) |

[Tool] Stopped generation process

[User]
Feedback (status=refine):
The query is mostly correct and returns relevant information, but there are a few areas for improvement:

1. The query currently restricts results to items that are instances of 'monument' (wd:Q4989906). However, the question asks for 'cultural heritage items', which may include other types such as statues, memorials, plaques, or other heritage objects. Consider broadening the query to include other relevant subclasses or types, such as 'cultural heritage object' (wd:Q210272), 'memorial' (wd:Q5003624), 'statue' (wd:Q179700), etc., or use a more general class if available.
2. The query returns only the IRIs for commemorated entities, but does not provide their labels. While labels are not strictly required, including them as OPTIONAL would improve the human-readability of the output, especially since the question asks for 'commemorated entities'.
3. The query does not include labels for the items themselves. Adding OPTIONAL { ?item rdfs:label ?itemLabel. FILTER (lang(?itemLabel) = 'en') } would make the results more user-friendly.
4. The query may return duplicate rows for items with multiple coordinates. Consider using GROUP BY or DISTINCT if appropriate, or aggregating coordinates if needed.

In summary, refine the query to broaden the scope of cultural heritage items, and optionally include labels for items and commemorated entities.

[Assistant]
Thank you for the detailed feedback. Here’s how I’ll proceed:

1. Broaden the scope: Instead of just 'monument' (wd:Q4989906), I will include other relevant types such as 'memorial' (wd:Q5003624), 'statue' (wd:Q179700), 'cultural heritage' (wd:Q210272), and 'cultural property' (wd:Q2065736). I will use a VALUES clause to include these types.
2. Add labels: I will include OPTIONAL clauses to retrieve English labels for the items and commemorated entities.
3. Handle duplicates: I will use SELECT DISTINCT to avoid duplicate rows.
4. All other requirements (year of creation, image, coordinates) will remain as before.

Let me now construct the refined query.

[Tool]
SPARQL execution failed:
Tried to allocate 3.3 GB, but only 1.7 GB were available. Clear the cache or allow more memory for QLever during startup

[Assistant]
The query failed due to memory constraints, likely because the VALUES clause with multiple broad types returns a large result set. To address this, I will try a more efficient approach:

- I will first try with a smaller set of types (monument, memorial, statue, cultural property), which should cover most relevant items but be less memory-intensive than including both 'cultural heritage' and 'cultural property'.
- I will keep the DISTINCT and label retrievals, as these are important for readability.

Let me try this refined query with a smaller VALUES set.

[Tool]
SPARQL execution failed:
Tried to allocate 3.3 GB, but only 2 GB were available. Clear the cache or allow more memory for QLever during startup

[Tool]
SPARQL execution failed:
Tried to allocate 3.3 GB, but only 2 GB were available. Clear the cache or allow more memory for QLever during startup

[Tool]
SPARQL execution failed:
Tried to allocate 3.3 GB, but only 2 GB were available. Clear the cache or allow more memory for QLever during startup

[Tool] Stopped generation process

[User]
Feedback (status=refine):
The system's explanation is accurate: the query as written only retrieves monuments (wd:Q4989906) in Helsinki, not the broader set of cultural heritage items requested (such as memorials, statues, or other cultural properties). While the endpoint's memory limits are a real constraint, the current query does not attempt to include other relevant types (e.g., memorials, statues, cultural properties) even in a piecemeal fashion. A better approach would be to union together queries for several key types (monument, memorial, statue, cultural property, etc.) and combine their results, even if this means running several smaller queries and merging them. The current output is thus incomplete for the user's request. Suggest refining the approach to include more types, possibly via UNION or VALUES, to cover a broader set of cultural heritage items.

[Assistant]
Thank you for the feedback. To address the memory constraints and broaden the scope, I will take the following approach:

- Instead of a single VALUES clause (which can be memory-intensive), I will use a UNION of several smaller queries, each targeting a specific type: monument (wd:Q4989906), memorial (wd:Q5003624), statue (wd:Q179700), and cultural property (wd:Q2065736).
- Each subquery will retrieve the same set of optional information and labels.
- I will use DISTINCT to avoid duplicates and include English labels for items and commemorated entities.
- This approach should cover a broader set of cultural heritage items in Helsinki, while staying within resource limits.

Let me construct and run the refined query using UNION.

[Tool]
SPARQL execution failed:
Tried to allocate 3.3 GB, but only 1.7 GB were available. Clear the cache or allow more memory for QLever during startup

[Tool]
SPARQL execution failed:
Tried to allocate 3.3 GB, but only 2 GB were available. Clear the cache or allow more memory for QLever during startup

[Tool]
SPARQL execution failed:
Tried to allocate 3.3 GB, but only 2 GB were available. Clear the cache or allow more memory for QLever during startup

[Tool]
SPARQL execution failed:
Tried to allocate 3.3 GB, but only 2 GB were available. Clear the cache or allow more memory for QLever during startup

[Tool]
SPARQL execution failed:
Tried to allocate 3.3 GB, but only 2 GB were available. Clear the cache or allow more memory for QLever during startup

[Tool]
SPARQL execution failed:
Tried to allocate 3.3 GB, but only 2 GB were available. Clear the cache or allow more memory for QLever during startup

[Tool] Got no rows and 7 columns

[Tool] Stopped generation process


PREFIX wdt: <http://www.wikidata.org/prop/direct/>
PREFIX wd: <http://www.wikidata.org/entity/>
SELECT ?player WHERE {
  ?player wdt:P106 wd:Q10833314 .
  ?player wdt:P27 wd:Q31 .
  FILTER NOT EXISTS {
    ?player wdt:P27 ?otherCountry .
    FILTER ( ?otherCountry != wd:Q31 )
  }
}

Got 167 rows and 1 column, showing the first 5 and last 5 rows below:
| player                             |
| ---------------------------------- |
| Wim Neefs (wd:Q100286273)          |
| Claude de Gronckel (wd:Q100324195) |
| Eric Drossart (wd:Q100324209)      |
| Michael Geerts (wd:Q100596799)     |
| Zizou Bergs (wd:Q100700157)        |
| ...                                |
| Marguerite Laurenan (wd:Q97146881) |
| Marguerite Chaudoir (wd:Q97146896) |
| Marie Jones (wd:Q97153992)         |
| Marie Janssen (wd:Q97273137)       |
| Elke Clijsters (wd:Q988904)        |

The tennis players who are citizens of only Belgium are those who have occupation 'tennis player' (wd:Q10833314), citizenship 'Belgium' (wd:Q31), and no other citizenships. The query returns their Wikidata IRIs, such as Wim Neefs (wd:Q100286273), Claude de Gronckel (wd:Q100324195), Michael Geerts (wd:Q100596799), Zizou Bergs (wd:Q100700157), and many others.

[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-sebastian

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 tennis players that are citizens of only Belgium?

[Assistant]
Let's break down the question:

1. We are looking for tennis players (occupation).
2. They must be citizens of Belgium.
3. They must have only Belgian citizenship (no other citizenships).

Step 1: Find the entity for "tennis player".
Step 2: Find the property for "citizenship".
Step 3: Find the entity for "Belgium".
Step 4: Construct a query to find people who are tennis players, have only Belgian citizenship, and no other citizenships.

Let's start by searching for the entity "tennis player".

[Tool]
Top 10 entity alternatives:
1. tennis player (wd:Q10833314): sportsperson who plays tennis
2. Chee-Meng Jimmy Liew, also known as Tennis player (wd:Q27579542): chess player
3. Tennis player (wd:Q50648121): painting by Roy De maistre
4. Tennis Player (wd:Q106776651): painting by James Edward Davis (Princeton y1968-145)
5. Tennis Player (wd:Q106776580): painting by James Edward Davis (Princeton y1968-146)
6. Tennis Player (wd:Q106774483): painting by James Edward Davis (Princeton y1968-147)
7. Tennis Player (wd:Q106767186): painting by James Edward Davis
8. table tennis player, also known as ping-pong player, table tennis athlete (wd:Q13382519): sportsperson taking part in table tennis competitions
9. amateur tennis player, also known as amateur tennis players (wd:Q48995125)
10. beach tennis player (wd:Q30525637)

[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 pqv/wdt/p/prn/pr/prv/psv/ps/wdtn/pqn/psn/pq): 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 pqv/wdt/p/prn/pr/prv/psv/ps/wdtn/pqn/psn/pq): 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 pqv/wdt/p/prn/pr/prv/psv/ps/wdtn/pqn/psn/pq): 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 pqv/wdt/p/prn/pr/prv/psv/ps/wdtn/pqn/psn/pq): 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 pqv/wdt/p/prn/pr/prv/psv/ps/wdtn/pqn/psn/pq): 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 pqv/wdt/p/prn/pr/prv/psv/ps/wdtn/pqn/psn/pq): 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 pqv/wdt/p/prn/pr/prv/psv/ps/wdtn/pqn/psn/pq): the place where the person is or has been, resident, location
8. right to vote, also known as suffrage (wd:P2964 as pqv/wdt/p/prn/pr/prv/psv/ps/wdtn/pqn/psn/pq): 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 pqv/wdt/p/prn/pr/prv/psv/ps/wdtn/pqn/psn/pq): category item that groups people born in this place, related category
10. A New Nation Votes ID (wd:P12578 as pqv/wdt/p/prn/pr/prv/psv/ps/wdtn/pqn/psn/pq): ID of a person in A New Nation Votes: American Electoral Returns, 1788-1825

[Tool]
Top 10 entity alternatives:
1. Belgium, also known as Kingdom of Belgium, BEL, be, BE, 🇧🇪 (wd:Q31): country in western Europe
2. Belgium, also known as Belgium, IL, Belgium, Illinois (wd:Q2281631): village in Illinois, United States
3. Belgium, also known as Belgium, WI (wd:Q2025327): village in Ozaukee County, Wisconsin
4. Belgium (wd:Q1658699): town in Wisconsin, United States
5. Belgium, also known as Belgium, West Virginia, Belgium, WV (wd:Q2894385): unincorporated community in West Virginia, United States
6. Belgium in the Eurovision Young Musicians, also known as Belgium (wd:Q14849447): Belgium in youth classical music contest
7. Belgium in the long nineteenth century, also known as Belgium (wd:Q16951058): history of Belgium from 1789 to 1914
8. Belgium (wd:Q106879226): family name
9. Belgium (wd:Q109469128): 2019 single by Lil Peep
10. Belgium (wd:Q19072874): poem by Florence Earle Coates

[Tool]
Got 10 rows and 1 column:
| player                                |
| ------------------------------------- |
| Wim Neefs (wd:Q100286273)             |
| Claude de Gronckel (wd:Q100324195)    |
| Eric Drossart (wd:Q100324209)         |
| Michael Geerts (wd:Q100596799)        |
| Zizou Bergs (wd:Q100700157)           |
| Christian Janssens (wd:Q104437160)    |
| Marc Bolle (wd:Q104440894)            |
| Michel Van den Bemden (wd:Q104521760) |
| Fabien Cousin (wd:Q104833946)         |
| Ilse de Ruysscher (wd:Q105869265)     |

[Tool]
Got 75 rows and 3 columns, showing the first 10 rows below:
| subject                   | property                               | object                              |
| ------------------------- | -------------------------------------- | ----------------------------------- |
| Wim Neefs (wd:Q100286273) | instance of (wdt:P31)                  | human (wd:Q5)                       |
| Wim Neefs (wd:Q100286273) | occupation (wdt:P106)                  | tennis player (wd:Q10833314)        |
| Wim Neefs (wd:Q100286273) | sex or gender (wdt:P21)                | male (wd:Q6581097)                  |
| Wim Neefs (wd:Q100286273) | given name (wdt:P735)                  | Wim (wd:Q1459852)                   |
| Wim Neefs (wd:Q100286273) | date of birth (wdt:P569)               | 1976-03-08T00:00:00Z (xsd:dateTime) |
| Wim Neefs (wd:Q100286273) | country of citizenship (wdt:P27)       | Belgium (wd:Q31)                    |
| Wim Neefs (wd:Q100286273) | sport (wdt:P641)                       | tennis (wd:Q847)                    |
| Wim Neefs (wd:Q100286273) | Google Knowledge Graph ID (wdtn:P2671) | <http://g.co/kg/g/11hbhqyzfc>       |
| Wim Neefs (wd:Q100286273) | ITF player ID 2020 (wdt:P8618)         | wim-neefs/800185347/bel             |
| Wim Neefs (wd:Q100286273) | Tennis Abstract player ID (wdt:P10028) | WimNeefs                            |
| ...                       | ...                                    | ...                                 |

[Tool]
Got 68 rows and 3 columns, showing the first 10 rows below:
| subject                            | property                               | object                              |
| ---------------------------------- | -------------------------------------- | ----------------------------------- |
| Claude de Gronckel (wd:Q100324195) | instance of (wdt:P31)                  | human (wd:Q5)                       |
| Claude de Gronckel (wd:Q100324195) | occupation (wdt:P106)                  | tennis player (wd:Q10833314)        |
| Claude de Gronckel (wd:Q100324195) | sex or gender (wdt:P21)                | male (wd:Q6581097)                  |
| Claude de Gronckel (wd:Q100324195) | given name (wdt:P735)                  | Claude (wd:Q17523984)               |
| Claude de Gronckel (wd:Q100324195) | date of birth (wdt:P569)               | 1943-05-21T00:00:00Z (xsd:dateTime) |
| Claude de Gronckel (wd:Q100324195) | country of citizenship (wdt:P27)       | Belgium (wd:Q31)                    |
| Claude de Gronckel (wd:Q100324195) | place of birth (wdt:P19)               | Brussels-Capital Region (wd:Q240)   |
| Claude de Gronckel (wd:Q100324195) | sport (wdt:P641)                       | tennis (wd:Q847)                    |
| Claude de Gronckel (wd:Q100324195) | Google Knowledge Graph ID (wdtn:P2671) | <http://g.co/kg/g/11mtd78nz5>       |
| Claude de Gronckel (wd:Q100324195) | ITF player ID 2020 (wdt:P8618)         | claude-de-gronckel/800174242/bel    |
| ...                                | ...                                    | ...                                 |

[Tool]
Got 143 rows and 3 columns, showing the first 10 rows below:
| subject                        | property                         | object                                                                                |
| ------------------------------ | -------------------------------- | ------------------------------------------------------------------------------------------------------------------ |
| Michael Geerts (wd:Q100596799) | instance of (wdt:P31)            | human (wd:Q5)                                                                                |
| Michael Geerts (wd:Q100596799) | occupation (wdt:P106)            | tennis player (wd:Q10833314)                                                                                |
| Michael Geerts (wd:Q100596799) | sex or gender (wdt:P21)          | male (wd:Q6581097)                                                                                |
| Michael Geerts (wd:Q100596799) | given name (wdt:P735)            | Michael (wd:Q4927524)                                                                                |
| Michael Geerts (wd:Q100596799) | date of birth (wdt:P569)         | 1995-01-17T00:00:00Z (xsd:dateTime)                                                                                |
| Michael Geerts (wd:Q100596799) | Commons category (wdt:P373)      | Michaël Geerts                                                                                |
| Michael Geerts (wd:Q100596799) | image (wdt:P18)                  | <http://commons.wikimedia.org/wiki/Special:FilePath/2023%20Roland%20Garros%20Qualifying%20Tournament%20-%2069.jpg> |
| Michael Geerts (wd:Q100596799) | country of citizenship (wdt:P27) | Belgium (wd:Q31)                                                                                |
| Michael Geerts (wd:Q100596799) | family name (wdt:P734)           | Geerts (wd:Q5529920)                                                                                |
| Michael Geerts (wd:Q100596799) | place of birth (wdt:P19)         | Antwerp (wd:Q12892)                                                                                |
| ...                            | ...                              | ...                                                                                |

[Tool]
Got 166 rows and 3 columns, showing the first 10 rows below:
| subject                     | property                         | object                                                                           |
| --------------------------- | -------------------------------- | -------------------------------------------------------------------------------- |
| Zizou Bergs (wd:Q100700157) | instance of (wdt:P31)            | human (wd:Q5)                                                                    |
| Zizou Bergs (wd:Q100700157) | occupation (wdt:P106)            | tennis player (wd:Q10833314)                                                     |
| Zizou Bergs (wd:Q100700157) | sex or gender (wdt:P21)          | male (wd:Q6581097)                                                               |
| Zizou Bergs (wd:Q100700157) | date of birth (wdt:P569)         | 1999-06-03T00:00:00Z (xsd:dateTime)                                              |
| Zizou Bergs (wd:Q100700157) | Commons category (wdt:P373)      | Zizou Bergs                                                                      |
| Zizou Bergs (wd:Q100700157) | image (wdt:P18)                  | <http://commons.wikimedia.org/wiki/Special:FilePath/Bergs%20MLC21%20%282%29.jpg> |
| Zizou Bergs (wd:Q100700157) | country of citizenship (wdt:P27) | Belgium (wd:Q31)                                                                 |
| Zizou Bergs (wd:Q100700157) | family name (wdt:P734)           | Bergs (wd:Q37238507)                                                             |
| Zizou Bergs (wd:Q100700157) | place of birth (wdt:P19)         | Lommel (wd:Q194366)                                                              |
| Zizou Bergs (wd:Q100700157) | sport (wdt:P641)                 | tennis (wd:Q847)                                                                 |
| ...                         | ...                              | ...                                                                              |

[Tool]
Got 61 rows and 3 columns, showing the first 10 rows below:
| subject                            | property                               | object                           |
| ---------------------------------- | -------------------------------------- | -------------------------------- |
| Christian Janssens (wd:Q104437160) | instance of (wdt:P31)                  | human (wd:Q5)                    |
| Christian Janssens (wd:Q104437160) | occupation (wdt:P106)                  | tennis player (wd:Q10833314)     |
| Christian Janssens (wd:Q104437160) | sex or gender (wdt:P21)                | male (wd:Q6581097)               |
| Christian Janssens (wd:Q104437160) | given name (wdt:P735)                  | Christian (wd:Q18001597)         |
| Christian Janssens (wd:Q104437160) | country of citizenship (wdt:P27)       | Belgium (wd:Q31)                 |
| Christian Janssens (wd:Q104437160) | sport (wdt:P641)                       | tennis (wd:Q847)                 |
| Christian Janssens (wd:Q104437160) | Google Knowledge Graph ID (wdtn:P2671) | <http://g.co/kg/g/11qp_4hk7f>    |
| Christian Janssens (wd:Q104437160) | ITF player ID 2020 (wdt:P8618)         | christian-janssens/800174639/bel |
| Christian Janssens (wd:Q104437160) | ATP player ID (wdt:P536)               | J070                             |
| Christian Janssens (wd:Q104437160) | Tennis Temple player ID (wdt:P4544)    | 5994                             |
| ...                                | ...                                    | ...                              |

[Tool]
Got 71 rows and 3 columns, showing the first 10 rows below:
| subject                    | property                         | object                                           |
| -------------------------- | -------------------------------- | ------------------------------------------------ |
| Marc Bolle (wd:Q104440894) | instance of (wdt:P31)            | human (wd:Q5)                                    |
| Marc Bolle (wd:Q104440894) | occupation (wdt:P106)            | tennis player (wd:Q10833314)                     |
| Marc Bolle (wd:Q104440894) | sex or gender (wdt:P21)          | male (wd:Q6581097)                               |
| Marc Bolle (wd:Q104440894) | given name (wdt:P735)            | Marc (wd:Q17520944)                              |
| Marc Bolle (wd:Q104440894) | date of birth (wdt:P569)         | 1949-06-24T00:00:00Z (xsd:dateTime)              |
| Marc Bolle (wd:Q104440894) | country of citizenship (wdt:P27) | Belgium (wd:Q31)                                 |
| Marc Bolle (wd:Q104440894) | place of birth (wdt:P19)         | Ghent (wd:Q1296)                                 |
| Marc Bolle (wd:Q104440894) | educated at (wdt:P69)            | University of Tennessee (wd:Q1150105)            |
| Marc Bolle (wd:Q104440894) | sport (wdt:P641)                 | tennis (wd:Q847)                                 |
| Marc Bolle (wd:Q104440894) | member of sports team (wdt:P54)  | Tennessee Volunteers men's tennis (wd:Q55264128) |
| ...                        | ...                              | ...                                              |

[Tool]
Got 79 rows and 3 columns, showing the first 10 rows below:
| subject                               | property                         | object                       |
| ------------------------------------- | -------------------------------- | ---------------------------- |
| Michel Van den Bemden (wd:Q104521760) | instance of (wdt:P31)            | human (wd:Q5)                |
| Michel Van den Bemden (wd:Q104521760) | occupation (wdt:P106)            | tennis player (wd:Q10833314) |
| Michel Van den Bemden (wd:Q104521760) | sex or gender (wdt:P21)          | male (wd:Q6581097)           |
| Michel Van den Bemden (wd:Q104521760) | given name (wdt:P735)            | Michel (wd:Q14626626)        |
| Michel Van den Bemden (wd:Q104521760) | country of citizenship (wdt:P27) | Belgium (wd:Q31)             |
| Michel Van den Bemden (wd:Q104521760) | sport (wdt:P641)                 | tennis (wd:Q847)             |
| Michel Van den Bemden (wd:Q104521760) | wdt:P31279                       | person (wd:Q215627)          |
| Michel Van den Bemden (wd:Q104521760) | schema:description               | Belgisch tennisser (nl)      |
| Michel Van den Bemden (wd:Q104521760) | schema:name                      | Michel Van den Bemden (ast)  |
| Michel Van den Bemden (wd:Q104521760) | rdf:type                         | wikibase:Item                |
| ...                                   | ...                              | ...                          |

[Tool]
Got 55 rows and 3 columns, showing the first 10 rows below:
| subject                       | property                               | object                              |
| ----------------------------- | -------------------------------------- | ----------------------------------- |
| Fabien Cousin (wd:Q104833946) | instance of (wdt:P31)                  | human (wd:Q5)                       |
| Fabien Cousin (wd:Q104833946) | occupation (wdt:P106)                  | tennis player (wd:Q10833314)        |
| Fabien Cousin (wd:Q104833946) | sex or gender (wdt:P21)                | male (wd:Q6581097)                  |
| Fabien Cousin (wd:Q104833946) | given name (wdt:P735)                  | Fabien (wd:Q15727746)               |
| Fabien Cousin (wd:Q104833946) | date of birth (wdt:P569)               | 1969-01-21T00:00:00Z (xsd:dateTime) |
| Fabien Cousin (wd:Q104833946) | country of citizenship (wdt:P27)       | Belgium (wd:Q31)                    |
| Fabien Cousin (wd:Q104833946) | family name (wdt:P734)                 | Cousin (wd:Q23902153)               |
| Fabien Cousin (wd:Q104833946) | sport (wdt:P641)                       | tennis (wd:Q847)                    |
| Fabien Cousin (wd:Q104833946) | Google Knowledge Graph ID (wdtn:P2671) | <http://g.co/kg/g/11fj51s1b5>       |
| Fabien Cousin (wd:Q104833946) | ITF player ID 2020 (wdt:P8618)         | fabien-cousin/800182681/bel         |
| ...                           | ...                                    | ...                                 |

[Tool]
Got 119 rows and 3 columns, showing the first 10 rows below:
| subject                           | property                                       | object                                       |
| --------------------------------- | ---------------------------------------------- | -------------------------------------------- |
| Ilse de Ruysscher (wd:Q105869265) | instance of (wdt:P31)                          | human (wd:Q5)                                |
| Ilse de Ruysscher (wd:Q105869265) | occupation (wdt:P106)                          | tennis player (wd:Q10833314)                 |
| Ilse de Ruysscher (wd:Q105869265) | sex or gender (wdt:P21)                        | female (wd:Q6581072)                         |
| Ilse de Ruysscher (wd:Q105869265) | given name (wdt:P735)                          | Ilse (wd:Q533466)                            |
| Ilse de Ruysscher (wd:Q105869265) | date of birth (wdt:P569)                       | 1962-07-13T00:00:00Z (xsd:dateTime)          |
| Ilse de Ruysscher (wd:Q105869265) | country of citizenship (wdt:P27)               | Belgium (wd:Q31)                             |
| Ilse de Ruysscher (wd:Q105869265) | sport (wdt:P641)                               | tennis (wd:Q847)                             |
| Ilse de Ruysscher (wd:Q105869265) | on focus list of Wikimedia project (wdt:P5008) | gender gap on Dutch Wikipedia (wd:Q60687720) |
| Ilse de Ruysscher (wd:Q105869265) | Google Knowledge Graph ID (wdtn:P2671)         | <http://g.co/kg/g/11mwk817_f>                |
| Ilse de Ruysscher (wd:Q105869265) | ITF player ID 2020 (wdt:P8618)                 | ilse-de-ruysscher/800178937/bel              |
| ...                               | ...                                            | ...                                          |

[Tool]
Got 167 rows and 1 column, showing the first 5 and last 5 rows below:
| player                             |
| ---------------------------------- |
| Wim Neefs (wd:Q100286273)          |
| Claude de Gronckel (wd:Q100324195) |
| Eric Drossart (wd:Q100324209)      |
| Michael Geerts (wd:Q100596799)     |
| Zizou Bergs (wd:Q100700157)        |
| ...                                |
| Marguerite Laurenan (wd:Q97146881) |
| Marguerite Chaudoir (wd:Q97146896) |
| Marie Jones (wd:Q97153992)         |
| Marie Janssen (wd:Q97273137)       |
| Elke Clijsters (wd:Q988904)        |

[Tool] Stopped generation process

[User]
Feedback (status=done):
The SPARQL query correctly identifies tennis players who are citizens of only Belgium by filtering for occupation 'tennis player', citizenship 'Belgium', and ensuring no other citizenships are present. The query returns the IRIs as required, and the answer is accurate and complete according to the question. No further refinement is needed.


PREFIX rdfs: <http://www.w3.org/2000/01/rdf-schema#>
PREFIX wdt: <http://www.wikidata.org/prop/direct/>
PREFIX wd: <http://www.wikidata.org/entity/>
SELECT ?country ?countryLabel ?tabularData WHERE {
  wd:Q84104992 wdt:P17 ?country ; wdt:P8204 ?tabularData .
  OPTIONAL {
    ?country rdfs:label ?countryLabel FILTER ( lang( ?countryLabel ) = "en" )
  }
}

Wikidata does not store the time series of cumulative deaths and dates for COVID-19 in Italy directly. Instead, it links to a tabular dataset on Wikimedia Commons containing this information. The country is Italy, and the dataset can be found at http://commons.wikimedia.org/data/main/Data:COVID-19+(STCenter)/IT/Q38.tab.

[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-sebastian

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] Get the country, the number of cumulative deaths, and the dates of those deaths related to the COVID-19 pandemic in Italy.

[Assistant]
Let's break down the question:

1. We are interested in data related to the COVID-19 pandemic in Italy.
2. Specifically, we want the country, the number of cumulative deaths, and the dates of those deaths.
3. The data should be about Italy, but could also be about other countries if available.

First, let's identify the relevant entities and properties:
- "COVID-19 pandemic in Italy" is likely a specific Wikidata entity.
- "country" is a property.
- "number of cumulative deaths" is likely a property related to statistics or COVID-19 data.
- "date" is a property, possibly as a qualifier for the number of deaths.

Let's start by searching for the entity "COVID-19 pandemic in Italy".

[Tool]
Top 10 entity alternatives:
1. COVID-19 pandemic in Italy, also known as 2019–20 coronavirus outbreak in Italy, 2020 Italy COVID-19 pandemic, COVID-19 outbreak in Italy, COVID pandemic in Italy, Italian 2020 coronavirus outbreak (wd:Q84104992): coronavirus pandemic in Italy
2. 2020 COVID-19 pandemic in Lombardy, also known as 2020 COVID-19 pandemic in Lombardy, Italy, 2020 COVID pandemic in Lombardy, 2020 Lombardy COVID-19 pandemic, COVID-19 pandemic in Lombardy, Italy, Lombardy COVID-19 pandemic (wd:Q89277312): viral pandemic in Lombardy
3. 2020 COVID-19 pandemic in Veneto, also known as 2020 COVID pandemic in Veneto, Veneto COVID-19 pandemic, COVID-19 pandemic in Veneto, Italy, 2020 Veneto COVID-19 pandemic, 2020 COVID-19 pandemic in Veneto, Italy (wd:Q89277314): viral pandemic in Veneto
4. COVID-19 pandemic in Apulia, also known as 2020 Apulia COVID-19 pandemic, Apulia COVID-19 pandemic, COVID-19 pandemic in Apulia, Italy, COVID pandemic in Apulia (wd:Q104719773)
5. COVID-19 pandemic in Abruzzo, also known as COVID pandemic in Abruzzo, COVID-19 pandemic in Abruzzo, Italy, 2020 Abruzzo COVID-19 pandemic, Abruzzo COVID-19 pandemic (wd:Q104719772)
6. COVID-19 pandemic in Basilicata, also known as 2020 Basilicata COVID-19 pandemic, Basilicata COVID-19 pandemic, COVID-19 pandemic in Basilicata, Italy, COVID pandemic in Basilicata (wd:Q104719782)
7. COVID-19 pandemic in Campania, also known as Campania COVID-19 pandemic, COVID pandemic in Campania, COVID-19 pandemic in Campania, Italy, 2020 Campania COVID-19 pandemic (wd:Q104719775)
8. COVID-19 pandemic in Calabria, also known as 2020 Calabria COVID-19 pandemic, Calabria COVID-19 pandemic, COVID-19 pandemic in Calabria, Italy, COVID pandemic in Calabria (wd:Q104719774)
9. COVID-19 pandemic in Emilia-Romagna, also known as 2020 Emilia-Romagna COVID-19 pandemic, COVID-19 pandemic in Emilia-Romagna, Italy, COVID pandemic in Emilia-Romagna, Emilia-Romagna COVID-19 pandemic (wd:Q104719776)
10. COVID-19 pandemic in Umbria, also known as 2020 Umbria COVID-19 pandemic, COVID-19 pandemic in Umbria, Italy, COVID pandemic in Umbria, Umbria COVID-19 pandemic (wd:Q104719788)

[Assistant]
The entity "COVID-19 pandemic in Italy" corresponds to wd:Q84104992.

Next, we need to find properties related to:
- cumulative deaths (likely a statistical property)
- date (likely as a qualifier for the death count)
- country (should be Italy, but let's confirm the property)

Let's search for properties related to "cumulative deaths" to find the correct property for this statistic.

[Tool]
Top 10 property alternatives:
1. number of deaths, also known as dead, qty fatalities, qty deaths, number of fatalities, fatalities (wd:P1120 as pqv/wdt/p/prn/pr/prv/psv/ps/wdtn/pqn/psn/pq): total (cumulative) number of people who died since start as a direct result of an event or cause
2. number of casualties, also known as casualities, number of deaths and injuries (wd:P1590 as pqv/wdt/p/prn/pr/prv/psv/ps/wdtn/pqn/psn/pq): number of people dead or injured because of this event.  Used wh...e data on number of deaths and number of injured is unavailable.
3. number of victims of killer, also known as number of persons killed, number of killed persons, number of homicide victims, kills, kill count (wd:P1345 as pqv/wdt/p/prn/pr/prv/psv/ps/wdtn/pqn/psn/pq): people killed by the subject, both legal and illegal
4. death rate, also known as mortality rate (wd:P10091 as pqv/wdt/p/prn/pr/prv/psv/ps/wdtn/pqn/psn/pq): the total number of persons dead per 1,000 population per year
5. case fatality rate, also known as fatality rate, CFR, case fatality ratio, case fatality, case fatality risk (wd:P3457 as pqv/wdt/p/prn/pr/prv/psv/ps/wdtn/pqn/psn/pq): proportion of patients who die of a particular medical condition out of all who have this condition within a given time frame
6. cause of death, also known as death cause, murder method, method of murder, die of, die from (wd:P509 as pqv/wdt/p/prn/pr/prv/psv/ps/wdtn/pqn/psn/pq): underlying or immediate cause of death.  Underlying cause (e.g. ...adest category, e.g. natural causes, accident, homicide, suicide
7. date of death, also known as DOD, deathdate, died, died on, year of death (wd:P570 as pqv/wdt/p/prn/pr/prv/psv/ps/wdtn/pqn/psn/pq): dissolved, abolished or demolished date, date on which the subject died, end time
8. Social Security Death Index entry, also known as Social Security Death Master File entry, Social Security Death Index entry, SSN, SSDMF entry, Social Security number (wd:P8002 as pqv/wdt/p/prn/pr/prv/psv/ps/wdtn/pqn/psn/pq): identifier for a person listed in Social Security Death Index or Death Master File
9. category for deaths in this time period (wd:P12687 as pqv/wdt/p/prn/pr/prv/psv/ps/wdtn/pqn/psn/pq): category item for people who died in this time period, point in time
10. number of graves, also known as total number of graves, capacity cemetery (wd:P2351 as pqv/wdt/p/prn/pr/prv/psv/ps/wdtn/pqn/psn/pq): number of burial places in a cemetery or necropolis, maximum capacity, quantity

[Assistant]
The property "number of deaths" (wd:P1120) is described as the total (cumulative) number of people who died since the start as a direct result of an event or cause. This matches our requirement for cumulative deaths.

Now, let's check if this property is used with qualifiers for the date (to get the date of each cumulative death count). Let's also confirm the property for "country" (likely wd:P17).

I'll list some triples for the entity "COVID-19 pandemic in Italy" (wd:Q84104992) with the property "number of deaths" (wd:P1120) to see how the date and country are represented.

[Tool] Got no rows and 3 columns

[Assistant]
It appears that there are no direct triples for "number of deaths" (wdt:P1120) as a direct property of "COVID-19 pandemic in Italy" (wd:Q84104992). This suggests that the data might be stored as statements with qualifiers (such as date) or possibly as part of a related statistical item.

Let's check if there are any statements (not just direct properties) for "COVID-19 pandemic in Italy" with the property "number of deaths" (wd:P1120), as qualifiers are often attached to statements rather than direct properties.

[Tool] Got no rows and 3 columns

[Assistant]
There are no statement triples for "number of deaths" (p:P1120) directly on "COVID-19 pandemic in Italy" either. This suggests that the cumulative deaths data might be stored in a related statistical item or through a different structure, such as a "COVID-19 pandemic by country" item or a time series/statistical record.

Let's search for properties of "COVID-19 pandemic in Italy" related to statistics or COVID-19 data to see if there is a linked item or property that contains the cumulative deaths and dates.

[Tool]
Top 10 property alternatives:
1. has effect, also known as has symptom, implies, leads to, led to, outcome (wd:P1542 as wdt/p): effect of this item, followed by
2. has cause, also known as implied by, originated due to, initial cause, outcome of, reason (wd:P828 as wdt/p): underlying cause, entity that ultimately resulted in this effect, follows
3. subreddit, also known as r/, reddit, Reddit community ID, Reddit forum, Reddit sub ID (wd:P3984 as wdt/p): name of the Reddit forum associated to this subject
4. image, also known as still capture, still, screenshot, screen capture, portrait (wd:P18 as wdt/p): image of relevant illustration of the subject; if available, als...tor map, flag image, signature image, logo image, collage image)
5. has part(s), also known as has component, incorporates, has ingredient, has ingredients, has member (wd:P527 as wdt/p): part of this subject; inverse property of "part of" (P361). See also "has parts of the class" (P2670).
6. tabular case data, also known as Commons Data, .tab, data on Common (wd:P8204 as wdt/p): tabular data on Wikimedia Commons of confirmed cases, recoveries...603, P8049, P8010, P1120. Try to avoid deleting such statements.
7. instance of, also known as unitary element of class, has type, unique individual of, type, item of type (wd:P31 as wdt/p): that class of which this subject is a particular example and mem...is a subclass of mountain (and an instance of volcanic landform)
8. case fatality rate, also known as fatality rate, CFR, case fatality ratio, case fatality, case fatality risk (wd:P3457 as wdt/p): proportion of patients who die of a particular medical condition out of all who have this condition within a given time frame
9. topic's main category, also known as article's main category, category, category for this topic, catmain, has category (wd:P910 as wdt/p): main Wikimedia category
10. country, also known as sovereign state, state, land, host country (wd:P17 as wdt/p): sovereign state that this item is in (not to be used for human beings), located in the administrative territorial entity

No other items found

[Assistant]
The property "tabular case data" (wd:P8204) is described as tabular data on Wikimedia Commons of confirmed cases, recoveries, and deaths, and it references P1120 (number of deaths). This suggests that the actual time series data (including cumulative deaths and dates) is stored in a tabular dataset linked from this property.

Let's list the values of "tabular case data" (wd:P8204) for "COVID-19 pandemic in Italy" (wd:Q84104992) to find the relevant dataset.

[Tool]
Got 1 row and 3 columns:
| subject                                   | property                      | object                                                                       |
| ----------------------------------------- | ----------------------------- | ---------------------------------------------------------------------------- |
| COVID-19 pandemic in Italy (wd:Q84104992) | tabular case data (wdt:P8204) | <http://commons.wikimedia.org/data/main/Data:COVID-19+(STCenter)/IT/Q38.tab> |

[Assistant]
There is a tabular dataset linked for "COVID-19 pandemic in Italy" via the property "tabular case data" (wdt:P8204):
<http://commons.wikimedia.org/data/main/Data:COVID-19+(STCenter)/IT/Q38.tab>

Wikidata itself does not store the time series data (cumulative deaths and dates) directly, but instead points to this external dataset on Wikimedia Commons. This dataset likely contains columns for date, cumulative deaths, and possibly other statistics.

However, since the data is not directly in Wikidata but in an external Commons Data tabular file, it cannot be queried directly via SPARQL on Wikidata. The best we can do in SPARQL is to return the country (Italy), the link to the dataset, and its association with the COVID-19 pandemic in Italy.

I will construct a SPARQL query that returns:
- The country (Italy)
- The link to the tabular dataset containing cumulative deaths and dates
- Optionally, the label for the country

This is the most accurate answer possible using Wikidata's SPARQL endpoint.

[Tool] Stopped generation process

[User]
Feedback (status=done):
The answer correctly explains that Wikidata does not store the time series of cumulative deaths and dates for COVID-19 in Italy directly, but provides a link to the relevant tabular dataset on Wikimedia Commons. The SPARQL query is appropriate, returning the country and the link to the dataset, and uses optional labeling as per best practices. No further refinement is needed.