PREFIX wdt: <http://www.wikidata.org/prop/direct/>
PREFIX wd: <http://www.wikidata.org/entity/>
SELECT ?tournament ?country ?endTime ?location ?editionNumber ?pointInTime ?surface WHERE {
  ?tournament wdt:P361 wd:Q23039138 .
  OPTIONAL {
    ?tournament wdt:P17 ?country .
  }
  OPTIONAL {
    ?tournament wdt:P582 ?endTime .
  }
  OPTIONAL {
    ?tournament wdt:P276 ?location .
  }
  OPTIONAL {
    ?tournament wdt:P393 ?editionNumber .
  }
  OPTIONAL {
    ?tournament wdt:P585 ?pointInTime .
  }
  OPTIONAL {
    ?tournament wdt:P765 ?surface .
  }
  FILTER ( BOUND( ?endTime ) && YEAR( ?endTime ) = 2018 )
}
ORDER BY ASC ( ?endTime ) ASC ( ?pointInTime )

This query returns only tournaments that are part of the 2018 ATP World Tour and have an end time in 2018, ensuring accuracy. It includes the tournament item, country, end time, location, edition number, point in time, and surface played on, sorted by end time and then by point in time. All entities are returned as IRIs.

[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 details of all tennis tournaments that were part of the 2018 ATP World Tour? Please include the tournament item, country (if available), end time (if available), location (if available), edition number (if available), point in time (if available), and surface played on (if available), sorted in ascending order by end time.

[Assistant]
Let's break down the question:

1. We need all tennis tournaments that were part of the 2018 ATP World Tour.
2. For each tournament, we want:
   - The tournament item (IRI)
   - Country (if available)
   - End time (if available)
   - Location (if available)
   - Edition number (if available)
   - Point in time (if available)
   - Surface played on (if available)
3. Results should be sorted by end time (ascending).

Step 1: Identify the entity for "2018 ATP World Tour".
Step 2: Find how tournaments are linked to this tour (likely via "part of" or "edition of" properties).
Step 3: Identify properties for country, end time, location, edition number, point in time, and surface.

Let's start by searching for "2018 ATP World Tour" in Wikidata.

[Tool]
Top 10 entity alternatives:
1. 2018 ATP World Tour (wd:Q23039138): tennis circuit
2. 2018 ATP World Tour Masters 1000 (wd:Q50063551): tennis tour
3. ATP Tour, also known as ATP World Tour (wd:Q300008): series of men's tennis tournaments
4. ATP Finals, also known as Tennis Masters Cup, ATP World Tour Finals (wd:Q270907): tier of annual men's tennis tournaments
5. ATP World Tour 250 series, also known as ATP World Tour 250, International Series Tournaments, International Series tennis tournaments, International Series events, ATP World Series (wd:Q300017): tennis tournament category
6. ATP World Tour 500 series, also known as ATP 500, ATP World Tour 500, ATP Masters 500, ATP Championship Series, Double-Week, ATP Championship Series (wd:Q300018): tennis tournament category since 2009
7. 2018 UCI World Tour (wd:Q42317185): cycling races
8. 2010 ATP World Tour, also known as 2010 atp tour (wd:Q300012): tennis circuit
9. 2011 ATP World Tour, also known as 2011 atp tour (wd:Q300013): men's tennis circuit
10. 2009 ATP World Tour, also known as Tennis 2009 Calendare ATP ITF, 2009 ATP Tour, Juego 2000 Calendar, 2009 atp tour, ATP Tour 2009 (wd:Q300011): tennis circuit

[Assistant]
The entity for "2018 ATP World Tour" is wd:Q23039138.

Next, I need to determine how tournaments are linked to this tour. Likely properties are "part of", "edition of", or similar. I will search for properties related to "part of" and "edition" for this entity.

[Tool]
Top 10 property alternatives:
1. point in time, also known as at time, as of, year, when, time of event (wd:P585 as wdt/p): date something took place, existed or a statement was true; for providing time use the "refine date" property (P4241)
2. 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)
3. 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
4. sports season of league or competition, also known as sport season, seasons of, edition of annual athletics meeting, season of sports tournament, season of sports league (wd:P3450 as wdt/p): property that shows the competition of which the item is a season. Use P5138 for "season of club or team"., part of
5. sport, also known as play, plays, sport played, sports (wd:P641 as wdt/p): sport that the subject participates or participated in or is associated with
6. topic's main template, also known as topic has template, topic's main module, topic's main infobox, topic infobox, main template (wd:P1424 as wdt/p): the main template relating to a topic
7. Google Knowledge Graph ID, also known as MREID, Google Knowledge Panel ID, Google knowledge panel, kgmid (wd:P2671 as wdtn/wdt/p): identifier for Google Knowledge Graph API, starting with "/g/". For IDs starting with "/m/", use Freebase ID (P646)

No other items found

[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/p): that class of which this subject is a particular example and mem...is a subclass of mountain (and an instance of volcanic landform)
2. 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
3. point in time, also known as at time, as of, year, when, time of event (wd:P585 as wdt/p): date something took place, existed or a statement was true; for providing time use the "refine date" property (P4241)
4. sport, also known as play, plays, sport played, sports (wd:P641 as wdt/p): sport that the subject participates or participated in or is associated with
5. sports season of league or competition, also known as sport season, seasons of, edition of annual athletics meeting, season of sports tournament, season of sports league (wd:P3450 as wdt/p): property that shows the competition of which the item is a season. Use P5138 for "season of club or team"., part of
6. topic's main template, also known as topic has template, topic's main module, topic's main infobox, topic infobox, main template (wd:P1424 as wdt/p): the main template relating to a topic
7. Google Knowledge Graph ID, also known as MREID, Google Knowledge Panel ID, Google knowledge panel, kgmid (wd:P2671 as wdtn/wdt/p): identifier for Google Knowledge Graph API, starting with "/g/". For IDs starting with "/m/", use Freebase ID (P646)

No other items found

[Tool]
Top 10 property alternatives:
1. part of, also known as of, within, system of, subsystem of, subgroup of (wd:P361 as pqv/wdt/p/prn/pr/prv/psv/ps/wdtn/pqn/psn/pq): 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))
2. parent organization, also known as parent company, parent institution, parent organisation, parent unit, part of (wd:P749 as pqv/wdt/p/prn/pr/prv/psv/ps/wdtn/pqn/psn/pq): parent organization of an organization, opposite of subsidiaries (P355), owned by, part of
3. applies to part, also known as when viewed as, valid for part, section, region, per (wd:P518 as pqv/wdt/p/prn/pr/prv/psv/ps/wdtn/pqn/psn/pq): part, aspect, or form of the item to which the claim applies
4. 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
5. proportion, also known as %, share, ratio, part, percent (wd:P1107 as pqv/wdt/p/prn/pr/prv/psv/ps/wdtn/pqn/psn/pq): to be used as a qualifier, value must be between 0 and 1
6. has part(s), also known as has component, incorporates, has ingredient, has ingredients, has member (wd:P527 as pqv/wdt/p/prn/pr/prv/psv/ps/wdtn/pqn/psn/pq): part of this subject; inverse property of "part of" (P361). See also "has parts of the class" (P2670).
7. 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
8. depicted part, also known as part depicted, part shown, shown part (wd:P5961 as pqv/wdt/p/prn/pr/prv/psv/ps/wdtn/pqn/psn/pq): use as qualifier for "depicts" (P180)
9. based on, also known as modelled after, inspired by, iteration of, modeled after, fork of (wd:P144 as pqv/wdt/p/prn/pr/prv/psv/ps/wdtn/pqn/psn/pq): the work(s) or inputs used as the basis for subject item; for fictional analog use P1074, references work, tradition or theory, inspired by
10. territory overlaps, also known as partially overlaps, partially coincident with, partly coincident with, partly located in territorial entity, partly overlaps (wd:P3179 as pqv/wdt/p/prn/pr/prv/psv/ps/wdtn/pqn/psn/pq): part or all of the area associated with (this) entity overlaps part or all of the area associated with that entity, partially coincident with

[Tool]
Got 39 rows and 3 columns, showing the first 10 rows below:
| subject                                              | property           | object                             |
| ---------------------------------------------------- | ------------------ | ---------------------------------- |
| 2018 Queen's Club Championships (wd:Q12299856)       | part of (wdt:P361) | 2018 ATP World Tour (wd:Q23039138) |
| 2018 Gerry Weber Open (wd:Q55029555)                 | part of (wdt:P361) | 2018 ATP World Tour (wd:Q23039138) |
| 2018 Monte-Carlo Rolex Masters (wd:Q29477409)        | part of (wdt:P361) | 2018 ATP World Tour (wd:Q23039138) |
| 2018 ABN AMRO World Tennis Tournament (wd:Q47227238) | part of (wdt:P361) | 2018 ATP World Tour (wd:Q23039138) |
| 2018 Barcelona Open Banco Sabadell (wd:Q51851067)    | part of (wdt:P361) | 2018 ATP World Tour (wd:Q23039138) |
| 2018 ATP Lyon Open (wd:Q53493411)                    | part of (wdt:P361) | 2018 ATP World Tour (wd:Q23039138) |
| 2018 MercedesCup (wd:Q54783884)                      | part of (wdt:P361) | 2018 ATP World Tour (wd:Q23039138) |
| 2018 Qatar ExxonMobil Open (wd:Q44318591)            | part of (wdt:P361) | 2018 ATP World Tour (wd:Q23039138) |
| 2018 Tata Open Maharashtra (wd:Q44318733)            | part of (wdt:P361) | 2018 ATP World Tour (wd:Q23039138) |
| 2018 Diema Xtra Sofia Open (wd:Q47001464)            | part of (wdt:P361) | 2018 ATP World Tour (wd:Q23039138) |
| ...                                                  | ...                | ...                                |

[Assistant]
We have confirmed that tournaments part of the 2018 ATP World Tour are linked via the property "part of" (wdt:P361) to wd:Q23039138.

Now, let's identify the properties for the requested details:
- country
- end time
- location
- edition number
- point in time
- surface played on

I'll search for each property in turn, starting with "country".

[Tool]
Top 10 property alternatives:
1. valid in place, also known as applies to country, applies to location, applies to place, country, true in (wd:P3005 as pqv/wdt/p/prn/pr/prv/psv/ps/wdtn/pqn/psn/pq): place where a statement is valid, applies to part
2. country of origin, also known as origin country, place of origin, originates from, country, CoO (wd:P495 as pqv/wdt/p/prn/pr/prv/psv/ps/wdtn/pqn/psn/pq): country of origin of this item (creative work, food, phrase, product, etc.), significant place, country
3. 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
4. country, also known as sovereign state, state, land, host country (wd:P17 as pqv/wdt/p/prn/pr/prv/psv/ps/wdtn/pqn/psn/pq): sovereign state that this item is in (not to be used for human beings), located in the administrative territorial entity
5. 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
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. continent (wd:P30 as pqv/wdt/p/prn/pr/prv/psv/ps/wdtn/pqn/psn/pq): continent of which the subject is a part, located in/on physical feature
8. 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
9. place of publication, also known as published in (place), where published, release region, released in, published from (wd:P291 as pqv/wdt/p/prn/pr/prv/psv/ps/wdtn/pqn/psn/pq): geographical place of publication of the edition (use 1st edition when referring to works), significant place
10. 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

[Tool]
Top 10 property alternatives:
1. end time, also known as ends, stop time, endtime, fall date, ineffective (wd:P582 as pqv/wdt/p/prn/pr/prv/psv/ps/wdtn/pqn/psn/pq): moment when an entity ceases to exist and a statement stops being entirely valid or no longer be true, point in time
2. end period, also known as until period (wd:P3416 as pqv/wdt/p/prn/pr/prv/psv/ps/wdtn/pqn/psn/pq): last period in which the statement is still valid (including the period-value)
3. 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
4. work period (end), also known as floruit end, floruit (end of work), flourished (end), retirement, work ends (wd:P2032 as pqv/wdt/p/prn/pr/prv/psv/ps/wdtn/pqn/psn/pq): end of period during which a person or group flourished (fl. = "floruit") in their professional activity, end time, floruit
5. destination of transfer, also known as recipient, to, target, receiver, end point (wd:P12694 as pqv/wdt/p/prn/pr/prv/psv/ps/wdtn/pqn/psn/pq): entity that a transferred item comes to be associated with as a result of this process
6. terminus, also known as end point, terminating connection, termini, terminuses, trailhead (wd:P559 as pqv/wdt/p/prn/pr/prv/psv/ps/wdtn/pqn/psn/pq): the feature (intersecting road, train station, etc.) at the end of a linear feature
7. dissolved, abolished or demolished date, also known as ended, publication end date, final issue, date repealed, final year (wd:P576 as pqv/wdt/p/prn/pr/prv/psv/ps/wdtn/pqn/psn/pq): point in time at which the subject (organisation, building) ceas...g equipment,  "discontinued date" (P2669) for stopping a product, end time
8. end cause, also known as cause of ending, ended by, end has cause, end reason, reason for end (wd:P1534 as pqv/wdt/p/prn/pr/prv/psv/ps/wdtn/pqn/psn/pq): qualifier used together with the end date qualifier (P582) to specify the reason for the end
9. 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)
10. last line, also known as closing line, ending, excipit, final line, final sentence (wd:P3132 as pqv/wdt/p/prn/pr/prv/psv/ps/wdtn/pqn/psn/pq): last line (excipit) of a poem, last sentence of a novel, etc.

[Tool]
Top 10 property alternatives:
1. work location, also known as work place, working from, working at, worked from, worked at (wd:P937 as pqv/wdt/p/prn/pr/prv/psv/ps/wdtn/pqn/psn/pq): location where persons or organisations were actively participating in employment, business or other work, significant place, location
2. 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
3. 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
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. recorded at studio or venue, also known as venue, studio, recording venue, recording studio, recorded at event (wd:P483 as pqv/wdt/p/prn/pr/prv/psv/ps/wdtn/pqn/psn/pq): studio or location where a musical composition/release was recorded, recording location
6. home venue, also known as home water, venue, stadium, home ground, home field (wd:P115 as pqv/wdt/p/prn/pr/prv/psv/ps/wdtn/pqn/psn/pq): home stadium or venue of a sports team or applicable performing arts organization, location
7. published in, also known as song on album, tome of the book, tome of, track of, track on (wd:P1433 as pqv/wdt/p/prn/pr/prv/psv/ps/wdtn/pqn/psn/pq): larger work that a given work was published in, like a book, journal or music album, part of
8. 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
9. directions, also known as locality or place (wd:P2795 as pqv/wdt/p/prn/pr/prv/psv/ps/wdtn/pqn/psn/pq): describe how to find the subject - directions, objects along way, comments
10. ranking, also known as peak position, place, placing, position, rank (wd:P1352 as pqv/wdt/p/prn/pr/prv/psv/ps/wdtn/pqn/psn/pq): subject's ordinal position as qualitatively evaluated relative to other members of a group

[Tool]
Top 10 property alternatives:
1. edition number, also known as number of event, software version number, version number (wd:P393 as pqv/wdt/p/prn/pr/prv/psv/ps/wdtn/pqn/psn/pq): number of an edition (first, second, ... as 1, 2, ...) or event, series ordinal
2. edition/version, also known as designation of edition, designation of version, edition, edition designation, edition or version (wd:P9767 as pqv/wdt/p/prn/pr/prv/psv/ps/wdtn/pqn/psn/pq): the official edition or version name of a resource; this name is not considered part of the title or subtitle of the resource
3. issue, also known as number, no., issue number (wd:P433 as pqv/wdt/p/prn/pr/prv/psv/ps/wdtn/pqn/psn/pq): issue of a newspaper, a scientific journal or magazine for reference purpose
4. volume, also known as volume of serial, volume of a book, volume number, vol., tome (wd:P478 as pqv/wdt/p/prn/pr/prv/psv/ps/wdtn/pqn/psn/pq): volume of a book or music release in a collection/series or a published collection of journal issues in a serial publication
5. edition or translation of, also known as version of, translation or edition of, is an edition of, translation of, is a translation of (wd:P629 as pqv/wdt/p/prn/pr/prv/psv/ps/wdtn/pqn/psn/pq): is an edition or translation of this entity
6. article ID, also known as article number (wd:P2322 as pqv/wdt/p/prn/pr/prv/psv/ps/wdtn/pqn/psn/pq): identifier for an article in an online publication
7. has edition or translation, also known as version, translation(s), released as, modified as, has version (wd:P747 as pqv/wdt/p/prn/pr/prv/psv/ps/wdtn/pqn/psn/pq): item that is an edition or translation of this item
8. distribution format, also known as book format, type of media, publication format, method of distribution, medium (wd:P437 as pqv/wdt/p/prn/pr/prv/psv/ps/wdtn/pqn/psn/pq): method (or type) of distribution for the subject
9. title page number, also known as cover page number, title djvu page, title file page, title file page number, title page (wd:P4714 as pqv/wdt/p/prn/pr/prv/psv/ps/wdtn/pqn/psn/pq): qualifier to indicate the number of the page of a document in which the title page is located. Don't use for the actual cover page.
10. publication date, also known as launched, published, publication time, publication, pubdate (wd:P577 as pqv/wdt/p/prn/pr/prv/psv/ps/wdtn/pqn/psn/pq): date or point in time when a work was first published or released, point in time

[Tool]
Top 10 property alternatives:
1. 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)
2. valid in period, also known as valid in season, valid for season, valid for period, valid for, time period (wd:P1264 as pqv/wdt/p/prn/pr/prv/psv/ps/wdtn/pqn/psn/pq): time period when a statement is valid
3. set in period, also known as time period set in, time period of setting, time period, takes place in time, takes place during (wd:P2408 as pqv/wdt/p/prn/pr/prv/psv/ps/wdtn/pqn/psn/pq): historical, contemporary, or future period, year, century or day...rk or genre is set in or event featured in the story of the work
4. time period, also known as oge (oge akụkọ ihe mere eme ma ọ...ụ mere ma ọ bụ nke ejikọtara ya. (wd:P2348 as pqv/wdt/p/prn/pr/prv/psv/ps/wdtn/pqn/psn/pq): time period (historic period or era, sports season, theatre seas...c.) in which the subject occurred or with which it is associated
5. start time, also known as start date, since, valid, join time, joined (wd:P580 as pqv/wdt/p/prn/pr/prv/psv/ps/wdtn/pqn/psn/pq): time an entity begins to exist or a statement starts being valid, point in time
6. date depicted, also known as depicted date, temporal coverage, shown as at date, depicts date, depicted time (wd:P2913 as pqv/wdt/p/prn/pr/prv/psv/ps/wdtn/pqn/psn/pq): date represented in a work (for narrative works use P2408)
7. term length of position, also known as term length, time in position, term of position, position term, length of term (wd:P2097 as pqv/wdt/p/prn/pr/prv/psv/ps/wdtn/pqn/psn/pq): length of time in years (unit: Q577) a person (usually a politician) is to serve in a particular position. Do not add bounds., duration
8. history of topic, also known as history of the topic, timeline of subject, timeline of the subject, timeline of the topic, timeline of topic (wd:P2184 as pqv/wdt/p/prn/pr/prv/psv/ps/wdtn/pqn/psn/pq): item about the historical development of a subject's topic, exam... To list key events of the topic, use "significant event" (P793), studied in
9. latest date, also known as terminus ante quem, prior to, on or before this date, no later than, max date (wd:P1326 as pqv/wdt/p/prn/pr/prv/psv/ps/wdtn/pqn/psn/pq): latest possible time that something could have occurred. Use as qualifier for other date properties
10. recording date, also known as recorded date, record date, recdate, rec. date, date of recording (wd:P10135 as pqv/wdt/p/prn/pr/prv/psv/ps/wdtn/pqn/psn/pq): the date when a recording was made, inception

[Tool]
Top 10 property alternatives:
1. area, also known as total area, surface area, surface, size, resolution (wd:P2046 as pqv/wdt/p/prn/pr/prv/psv/ps/wdtn/pqn/psn/pq): area occupied by an object
2. has surface (wd:P10614 as pqv/wdt/p/prn/pr/prv/psv/ps/wdtn/pqn/psn/pq): the object is the 2-dimensional surface that partly or completely surrounds the subject in 3-dimensional space
3. surface played on, also known as playing surface (wd:P765 as pqv/wdt/p/prn/pr/prv/psv/ps/wdtn/pqn/psn/pq): the surface on which a sporting event is played
4. surface tension (wd:P3013 as pqv/wdt/p/prn/pr/prv/psv/ps/wdtn/pqn/psn/pq): physical property of liquid
5. home venue, also known as home water, venue, stadium, home ground, home field (wd:P115 as pqv/wdt/p/prn/pr/prv/psv/ps/wdtn/pqn/psn/pq): home stadium or venue of a sports team or applicable performing arts organization, location
6. surface gravity (wd:P7015 as pqv/wdt/p/prn/pr/prv/psv/ps/wdtn/pqn/psn/pq): gravitational acceleration experienced at the equator of an astronomical body surface
7. substrate of (wd:P2414 as pqv/wdt/p/prn/pr/prv/psv/ps/wdtn/pqn/psn/pq): substrate that an enzyme acts upon to create a product, has use
8. number of platform faces, also known as number of platforms, platform faces, platforms (wd:P5595 as pqv/wdt/p/prn/pr/prv/psv/ps/wdtn/pqn/psn/pq): number of continuous platform edges facing a track or vehicle gu...latform numbers). See property talk page for illustrated samples
9. 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)
10. destination point, also known as stopping at, to, journey destination, finish, end point (journey) (wd:P1444 as pqv/wdt/p/prn/pr/prv/psv/ps/wdtn/pqn/psn/pq): destination for this route (journey, flight, sailing, exploration, migration, etc.), destination of transfer, location

[Tool]
Got 39 rows and 7 columns, showing the first 5 and last 5 rows below:
| tournament                                                   | country              | endTime                             | location                            | editionNumber | pointInTime                         | surface                 |
| ------------------------------------------------------------ | -------------------- | ----------------------------------- | ----------------------------------- | ------------- | ----------------------------------- | ----------------------- |
| 2018 Swedish Open (wd:Q55391498)                             | Sweden (wd:Q34)      |                                     | Båstad Tennis Stadium (wd:Q5004953) | 71            | 2018-01-01T00:00:00Z (xsd:dateTime) |                         |
| 2018 Tata Open Maharashtra (wd:Q44318733)                    | India (wd:Q668)      | 2018-01-06T00:00:00Z (xsd:dateTime) | Pune (wd:Q1538)                     | 23            | 2018-01-01T00:00:00Z (xsd:dateTime) | hardcourt (wd:Q1330871) |
| 2018 Brisbane International (men) (wd:Q46911399)             |                      | 2018-01-07T00:00:00Z (xsd:dateTime) |                                     | 10            | 2018-01-01T00:00:00Z (xsd:dateTime) |                         |
| 2018 Qatar ExxonMobil Open (wd:Q44318591)                    | Qatar (wd:Q846)      | 2018-01-08T00:00:00Z (xsd:dateTime) | Doha (wd:Q3861)                     | 26            | 2018-01-01T00:00:00Z (xsd:dateTime) |                         |
| 2018 Sydney International (men) (wd:Q46911599)               |                      | 2018-01-13T00:00:00Z (xsd:dateTime) |                                     | 126           | 2018-01-01T00:00:00Z (xsd:dateTime) |                         |
| ...                                                          | ...                  | ...                                 | ...                                 | ...           | ...                                 | ...                     |
| 2018 China Open (men) (wd:Q56819344)                         |                      | 2018-10-07T00:00:00Z (xsd:dateTime) |                                     | 19            | 2018-01-01T00:00:00Z (xsd:dateTime) |                         |
| 2018 Stockholm Open (wd:Q57171456)                           | Sweden (wd:Q34)      | 2018-10-21T00:00:00Z (xsd:dateTime) | Royal Tennis Hall (wd:Q3369172)     | 49            | 2018-10-01T00:00:00Z (xsd:dateTime) | hardcourt (wd:Q1330871) |
| 2018 Kremlin Cup (men) (wd:Q57314287)                        |                      | 2018-10-21T00:00:00Z (xsd:dateTime) |                                     | 29            |                                     |                         |
| 2018 Swiss Indoors (wd:Q57339856)                            | Switzerland (wd:Q39) | 2018-10-28T00:00:00Z (xsd:dateTime) | St. Jakobshalle (wd:Q2318930)       | 49            | 2018-01-01T00:00:00Z (xsd:dateTime) | hardcourt (wd:Q1330871) |
| 2018 Oracle Challenger Series – Houston – Men (wd:Q59994545) |                      | 2018-11-18T00:00:00Z (xsd:dateTime) |                                     |               |                                     |                         |

[Tool] Stopped generation process

[User]
Feedback (status=refine):
The query is mostly correct and returns the required details for each tournament, including the tournament item, country, end time, location, edition number, point in time, and surface played on. However, there are a few refinements that could improve the result:

1. The query currently does not ensure that only tournaments that are specifically part of the 2018 ATP World Tour are included. While it uses 'wd:Q23039138' (2018 ATP World Tour) with 'wdt:P361', it is possible that some tournaments are linked indirectly or that some relevant tournaments are missing due to the way the data is modeled. Consider checking if some tournaments are linked via 'wdt:P3450' (tournament edition) or similar properties, or if a broader or more precise property is needed.

2. The query should ensure that all returned tournaments are editions from 2018. While most tournaments will have the correct point in time or end time, it would be more robust to add a FILTER to ensure the year is 2018, especially if the data is inconsistent.

3. The query retrieves the IRIs as required, but if the user wants human-readable labels, these should be included via OPTIONAL { ?tournament rdfs:label ?tournamentLabel. FILTER (LANG(?tournamentLabel) = 'en') } and similarly for other entities, but only if requested.

4. The ordering is correct (by end time ascending), but if end time is missing, those tournaments will appear at the top. Consider if this is the intended behavior.

In summary: The query is close to correct, but could be refined to ensure only 2018 ATP World Tour tournaments are included and to handle possible data inconsistencies.

[Assistant]
Thank you for the feedback. Let's address each refinement step by step:

1. Ensure only tournaments specifically part of the 2018 ATP World Tour are included, considering possible alternative properties like wdt:P3450 (sports season of league or competition).
2. Add a FILTER to ensure all tournaments are editions from 2018, using the year of point in time (wdt:P585) or end time (wdt:P582).
3. Labels are not required unless requested, so we will keep IRIs.
4. The ordering by end time is correct, and missing end times will appear at the top, which is acceptable unless otherwise specified.

Step 1: Let's check if some tournaments are linked to the 2018 ATP World Tour via wdt:P3450 (sports season of league or competition).

I'll list some examples of tournaments using wdt:P3450 with wd:Q23039138.

[Tool] Got no rows and 3 columns

[Assistant]
No tournaments are linked to the 2018 ATP World Tour via wdt:P3450 (sports season of league or competition). The main linkage is via wdt:P361 (part of).

Step 2: To ensure all tournaments are editions from 2018, I will add a FILTER to check that either the year of point in time (wdt:P585) or end time (wdt:P582) is 2018. If both are missing, the tournament will be excluded.

I'll use the YEAR() function in SPARQL to filter for 2018.

Here is the refined query:

[Tool]
Got 39 rows and 7 columns, showing the first 5 and last 5 rows below:
| tournament                                                   | country              | endTime                             | location                            | editionNumber | pointInTime                         | surface                 |
| ------------------------------------------------------------ | -------------------- | ----------------------------------- | ----------------------------------- | ------------- | ----------------------------------- | ----------------------- |
| 2018 Swedish Open (wd:Q55391498)                             | Sweden (wd:Q34)      |                                     | Båstad Tennis Stadium (wd:Q5004953) | 71            | 2018-01-01T00:00:00Z (xsd:dateTime) |                         |
| 2018 Tata Open Maharashtra (wd:Q44318733)                    | India (wd:Q668)      | 2018-01-06T00:00:00Z (xsd:dateTime) | Pune (wd:Q1538)                     | 23            | 2018-01-01T00:00:00Z (xsd:dateTime) | hardcourt (wd:Q1330871) |
| 2018 Brisbane International (men) (wd:Q46911399)             |                      | 2018-01-07T00:00:00Z (xsd:dateTime) |                                     | 10            | 2018-01-01T00:00:00Z (xsd:dateTime) |                         |
| 2018 Qatar ExxonMobil Open (wd:Q44318591)                    | Qatar (wd:Q846)      | 2018-01-08T00:00:00Z (xsd:dateTime) | Doha (wd:Q3861)                     | 26            | 2018-01-01T00:00:00Z (xsd:dateTime) |                         |
| 2018 Sydney International (men) (wd:Q46911599)               |                      | 2018-01-13T00:00:00Z (xsd:dateTime) |                                     | 126           | 2018-01-01T00:00:00Z (xsd:dateTime) |                         |
| ...                                                          | ...                  | ...                                 | ...                                 | ...           | ...                                 | ...                     |
| 2018 China Open (men) (wd:Q56819344)                         |                      | 2018-10-07T00:00:00Z (xsd:dateTime) |                                     | 19            | 2018-01-01T00:00:00Z (xsd:dateTime) |                         |
| 2018 Stockholm Open (wd:Q57171456)                           | Sweden (wd:Q34)      | 2018-10-21T00:00:00Z (xsd:dateTime) | Royal Tennis Hall (wd:Q3369172)     | 49            | 2018-10-01T00:00:00Z (xsd:dateTime) | hardcourt (wd:Q1330871) |
| 2018 Kremlin Cup (men) (wd:Q57314287)                        |                      | 2018-10-21T00:00:00Z (xsd:dateTime) |                                     | 29            |                                     |                         |
| 2018 Swiss Indoors (wd:Q57339856)                            | Switzerland (wd:Q39) | 2018-10-28T00:00:00Z (xsd:dateTime) | St. Jakobshalle (wd:Q2318930)       | 49            | 2018-01-01T00:00:00Z (xsd:dateTime) | hardcourt (wd:Q1330871) |
| 2018 Oracle Challenger Series – Houston – Men (wd:Q59994545) |                      | 2018-11-18T00:00:00Z (xsd:dateTime) |                                     |               |                                     |                         |

[Tool] Stopped generation process

[User]
Feedback (status=refine):
The query is mostly correct and returns the required fields, with IRIs for all entities and optional clauses for additional details. However, there are a couple of refinements needed:

1. The FILTER clause currently allows tournaments with either a point in time or end time in 2018, but it may include tournaments that are not strictly part of the 2018 ATP World Tour (e.g., tournaments with only a point in time in 2018 but not actually held in 2018). It would be more precise to require that the tournament's end time is in 2018, as this is a more reliable indicator of when the tournament took place.

2. The sorting is only by end time, but if end time is missing, the order may be ambiguous. Consider adding a secondary sort by point in time for completeness.

3. The query could be further refined to ensure that only tournaments with an actual end time in 2018 are included, as the ATP World Tour is a yearly circuit.

Suggested refinement: Change the FILTER to only include tournaments where end time is in 2018, and adjust the ORDER BY clause to handle missing end times more gracefully.

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

1. Only include tournaments where the end time (wdt:P582) is present and in 2018. This will ensure we only get tournaments that actually concluded in 2018, which is the most reliable indicator for the ATP World Tour.
2. For sorting, I’ll order first by end time (ascending), then by point in time (ascending) as a secondary criterion for completeness.
3. The rest of the structure (IRIs, optional fields) remains as before.

Here is the refined query:

[Tool] Stopped generation process


PREFIX xsd: <http://www.w3.org/2001/XMLSchema#>
PREFIX wdt: <http://www.wikidata.org/prop/direct/>
PREFIX wd: <http://www.wikidata.org/entity/>
SELECT ( ( ?lat1 + ?lat2 ) / 2 AS ?mid_latitude ) ( ( ?lon1 + ?lon2 ) / 2 AS ?mid_longitude ) WHERE {
  wd:Q90 wdt:P625 ?coord1 .
  wd:Q240798 wdt:P625 ?coord2 .
  BIND( STRBEFORE( STRAFTER( STR( ?coord1 ) , "POINT(" ) , " " ) AS ?lon1_str ) BIND( STRAFTER( STR( ?coord1 ) , " " ) AS ?lat1_str ) BIND( STRBEFORE( STR( ?lat1_str ) , ")" ) AS ?lat1_str2 ) BIND( STRBEFORE( STRAFTER( STR( ?coord2 ) , "POINT(" ) , " " ) AS ?lon2_str ) BIND( STRAFTER( STR( ?coord2 ) , " " ) AS ?lat2_str ) BIND( STRBEFORE( STR( ?lat2_str ) , ")" ) AS ?lat2_str2 ) BIND( xsd:float ( ?lat1_str2 ) AS ?lat1 ) BIND( xsd:float ( ?lon1_str ) AS ?lon1 ) BIND( xsd:float ( ?lat2_str2 ) AS ?lat2 ) BIND( xsd:float ( ?lon2_str ) AS ?lon2 )
}

The geographic midpoint between Paris and Montigny-le-Bretonneux is approximately latitude 48.8136 and longitude 2.19236.

[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 is the geographic point that represents the midpoint of the coordinates of Paris (the capital of France) and Montigny-le-Bretonneux (a commune in Yvelines, France)? Return one column for the latitude and one column for the longitude

[Assistant]
Let's break down the question:

1. We need to find the coordinates (latitude and longitude) of Paris and Montigny-le-Bretonneux.
2. Then, we need to calculate the midpoint between these two sets of coordinates.
3. The result should be two columns: latitude and longitude of the midpoint.

First, I will search for the Wikidata entities for "Paris" and "Montigny-le-Bretonneux".

[Tool]
Top 10 entity alternatives:
1. Paris, also known as City of Love, Lutetia, City of Light (wd:Q90): capital city and largest city of France
2. Paris Saint-Germain FC, also known as Paris Saint-Germain, Paris, PSGFC, PSG, Paris Saint-Germain Football Club (wd:Q483020): association football club in Paris, France
3. Paris, also known as Alexandros, Alexander (wd:Q167646): mythological son of Priam, king of Troy, herder
4. Paris, also known as Paris, Texas, Paris, TX (wd:Q830149): city in and county seat of Lamar County, Texas, United States
5. Paris, also known as Paris, ID, Paris, Idaho (wd:Q984459): city in Idaho, United States
6. Paris (wd:Q162121): genus of plants
7. Paris, also known as Paris, IL, Paris Illinois, Paris, Illinois (wd:Q576584): city in Illinois
8. Paris, also known as Paris, AR, Paris, Arkansas (wd:Q79917): city in Arkansas, United States
9. Paris, also known as Paris, KY, Paris, Kentucky (wd:Q3181341): county seat of Bourbon County, Kentucky, United States
10. Paris, also known as Paris, KY, Paris, Kentucky (wd:Q3181341): county seat of Bourbon County, Kentucky, United States

[Tool]
Top 10 entity alternatives:
1. Montigny-le-Bretonneux (wd:Q240798): commune in Yvelines, France
2. Montigny-le-Bretonneux (wd:Q240798): commune in Yvelines, France
3. AS Montigny-le-Bretonneux (wd:Q2868096): football club
4. canton of Montigny-le-Bretonneux (wd:Q1726322): canton of France
5. temple de Montigny-le-Bretonneux (wd:Q60428202): meeting house located in Yvelines, in France
6. Mayor of Montigny-le-Bretonneux (wd:Q62587392)
7. municipality of Montigny-le-Bretonneux, also known as Montigny-le-Bretonneux city government, City of Montigny-le-Bretonneux, Administration of Montigny-le-Bretonneux (wd:Q118540991): municipal government of Montigny-le-Bretonneux, France
8. Église Saint-Quentin-des-Sources de Montigny-le-Bretonneux (wd:Q41802013): church located in Yvelines, in France
9. église Saint-Pierre-du-Lac de Montigny-le-Bretonneux (wd:Q41802014): church located in Yvelines, in France
10. Église Saint-Martin de Montigny-le-Bretonneux (wd:Q41802011): church located in Yvelines, in France

[Tool]
Top 10 property alternatives:
1. 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
2. this zoological name is coordinate with, also known as coordinate name (wd:P2743 as pqv/wdt/p/prn/pr/prv/psv/ps/wdtn/pqn/psn/pq): links coordinate zoological names, different from
3. time index, also known as time coordinate, timestamp, temporal coordinate, relative time (wd:P4895 as pqv/wdt/p/prn/pr/prv/psv/ps/wdtn/pqn/psn/pq): indicate when something happens relative to its beginning
4. genomic start, also known as start coordinate, genomic from, Genloc From, from, Genloc Start (wd:P644 as pqv/wdt/p/prn/pr/prv/psv/ps/wdtn/pqn/psn/pq): genomic starting coordinate of the biological sequence (e.g. a gene)
5. spatial reference system, also known as coordinate reference system, CRS, SRS (wd:P3037 as pqv/wdt/p/prn/pr/prv/psv/ps/wdtn/pqn/psn/pq): frame of reference used to produce a map
6. y-offset, also known as ordinate, y-axis (wd:P8685 as pqv/wdt/p/prn/pr/prv/psv/ps/wdtn/pqn/psn/pq): offset on the y-axis or secondary axis
7. genomic end, also known as stop coordinate, stop, genomic stop, Genloc End, Genloc Stop (wd:P645 as pqv/wdt/p/prn/pr/prv/psv/ps/wdtn/pqn/psn/pq): genomic ending coordinate of the biological sequence (e.g. a gene)
8. ranking, also known as peak position, place, placing, position, rank (wd:P1352 as pqv/wdt/p/prn/pr/prv/psv/ps/wdtn/pqn/psn/pq): subject's ordinal position as qualitatively evaluated relative to other members of a group
9. political alignment, also known as political position, alignment (wd:P1387 as pqv/wdt/p/prn/pr/prv/psv/ps/wdtn/pqn/psn/pq): political position within the left–right political spectrum
10. orientation, also known as alignment, direction, face, faces, facing (wd:P7469 as pqv/wdt/p/prn/pr/prv/psv/ps/wdtn/pqn/psn/pq): axis of alignment of an item, or direction perpendicular to its primary face (specify with P518 if necessary)

[Tool]
Got 1 row and 3 columns:
| subject        | property                       | object                                     |
| -------------- | ------------------------------ | ------------------------------------------ |
| Paris (wd:Q90) | coordinate location (wdt:P625) | POINT(2.352222 48.856667) (geo:wktLiteral) |

[Tool]
Got 1 row and 3 columns:
| subject                             | property                       | object                                     |
| ----------------------------------- | ------------------------------ | ------------------------------------------ |
| Montigny-le-Bretonneux (wd:Q240798) | coordinate location (wdt:P625) | POINT(2.032500 48.770556) (geo:wktLiteral) |

[Assistant]
We have the coordinates for both locations:
- Paris: POINT(2.352222 48.856667)
- Montigny-le-Bretonneux: POINT(2.032500 48.770556)

To find the midpoint, we average the latitudes and longitudes:
- Midpoint latitude = (48.856667 + 48.770556) / 2
- Midpoint longitude = (2.352222 + 2.032500) / 2

I will now construct a SPARQL query that extracts the coordinates, computes the averages, and returns the midpoint's latitude and longitude as requested.

[Tool]
Got 1 row and 2 columns:
| mid_latitude          | mid_longitude         |
| --------------------- | --------------------- |
| 48.8136 (xsd:decimal) | 2.19236 (xsd:decimal) |

[Tool] Stopped generation process

[User]
Feedback (status=done):
The SPARQL query correctly retrieves the coordinates for Paris and Montigny-le-Bretonneux, parses the latitude and longitude values, and computes the arithmetic mean for both to find the geographic midpoint. The result is returned in two columns as requested. The query adheres to the requirements, and the answer is accurate and complete.


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 ?commune ?communeLabel WHERE {
  ?commune wdt:P31 wd:Q17318027 .
  ?commune wdt:P17 wd:Q1028 .
  OPTIONAL {
    ?commune rdfs:label ?communeLabel FILTER ( lang( ?communeLabel ) = "en" )
  }
}

Got 1,276 rows and 2 columns, showing the first 5 and last 5 rows below:
| commune                           | communeLabel             |
| --------------------------------- | ------------------------ |
| Telouet (wd:Q1010760)             | Telouet (en)             |
| M'Hamid El Ghizlane (wd:Q1014625) | M'Hamid El Ghizlane (en) |
| Nkob (wd:Q10334921)               | Nkob (en)                |
| Sidi Borja (wd:Q11131837)         | Sidi Borja (en)          |
| Sidi Ouaaziz (wd:Q11220738)       | Sidi Ouaaziz (en)        |
| ...                               | ...                      |
| Bouarg (wd:Q894944)               | Bouarg (en)              |
| Bab Taza (wd:Q920156)             | Bab Taza (en)            |
| Souk Tlet El Gharb (wd:Q952999)   | Souk Tlet El Gharb (en)  |
| Oulad Youssef (wd:Q956049)        | Oulad Youssef (en)       |
| Alnif (wd:Q984312)                | Alnif (en)               |

The rural communes of Morocco are all entities that are instances of 'rural commune of Morocco' (wd:Q17318027) and have country 'Morocco' (wd:Q1028). Examples include Telouet, M'Hamid El Ghizlane, Nkob, Sidi Borja, and Sidi Ouaaziz, among many others (over 1,200 in total).

[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 rural communes of Morocco?

[Assistant]
Let's break down the question:

1. We are looking for entities that are "rural communes" in Morocco.
2. We need to identify the Wikidata entity for "rural commune" and for "Morocco".
3. We need to find the property that links a commune to its country.
4. We should also check if there is a specific property or class for "rural commune".

Let's start by searching for the entity "rural commune" in Wikidata.

[Tool]
Top 10 entity alternatives:
1. rural commune of Morocco, also known as rural commune (wd:Q17318027): administrative division of Morocco
2. rural commune of Vietnam, also known as xã, Xã, xa (wd:Q2389082): type of subdivision of Vietnam
3. rural commune of Vietnam, also known as xã, Xã, xa (wd:Q2389082): type of subdivision of Vietnam
4. commune rurale de Nojaï-Iourt (wd:Q24636444): human settlement in Nozhay-Yurtovsky District, Chechen Republic, Russia
5. Health in a Rural Hippie Commune (wd:Q41557175): scientific article published on August 24, 1970
6. L'habitat rural dans une commune bretonne. (wd:Q127723686): scholarly article
7. [Rural pharmacy and the communes.] (wd:Q78953786): scientific article published on 01 July 1960
8. Paris Commune, also known as Commune (wd:Q133132): Revolutionary city council of Paris in 1871
9. commune of France, also known as commune, commune (France) (wd:Q484170): France territorial subdivision for municipalities
10. commune, also known as comune (wd:Q3266850): administrative entity in different countries

[Assistant]
The relevant entity for "rural commune" in Morocco is "rural commune of Morocco" (wd:Q17318027), which is an administrative division of Morocco.

Next, let's search for the entity for "Morocco" to use as a country filter.

[Tool]
Top 10 entity alternatives:
1. Morocco, also known as ⵎⵓⵔⴰⴽⵓⵛ, Marocco, MAR, ma, Lmaġrib (wd:Q1028): sovereign state in North Africa
2. Morocco, also known as al-Maġrib, Kingdom of Morocco, ⵎⵓⵔⴰⴽⵓⵛ, Lmaġrib, ma (wd:Q1028): sovereign state in North Africa
3. Morocco (wd:Q577754): 1930 film by Josef von Sternberg and Henry Hathaway
4. Morocco, also known as Morocco, IN, Morocco, Indiana (wd:Q2374422): town in Indiana, United States
5. Morocco leather, also known as Levant, Morocco (wd:Q2118555): soft, pliable leather used for bookbinding, wallets, linings for luggage, gloves and shoes
6. Morocco at the 1960 Summer Olympics, also known as 1960 Summer Olympics, Morocco (wd:Q2149869): sporting event delegation
7. Exit Marrakech, also known as Morocco (wd:Q14949869): 2013 film by Caroline Link
8. Sharifian Empire, also known as Morocco (wd:Q12183875): historical name given to Morocco
9. blouza, also known as Morocco (wd:Q2907091): traditional dress of Morocco and Algeria, traditional dress of Algeria
10. Morocco titular see, also known as Marocco, Marruecos titular see, Morocco, Titular see of Marocco (wd:Q3708053): titular see

[Assistant]
The entity for Morocco as a country is wd:Q1028.

Now, we need to find the property that links a commune (or administrative division) to its country. Let's search for properties related to "country".

[Tool]
Top 10 property alternatives:
1. valid in place, also known as applies to country, applies to location, applies to place, country, true in (wd:P3005 as pqv/wdt/p/prn/pr/prv/psv/ps/wdtn/pqn/psn/pq): place where a statement is valid, applies to part
2. country of origin, also known as origin country, place of origin, originates from, country, CoO (wd:P495 as pqv/wdt/p/prn/pr/prv/psv/ps/wdtn/pqn/psn/pq): country of origin of this item (creative work, food, phrase, product, etc.), significant place, country
3. 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
4. country, also known as sovereign state, state, land, host country (wd:P17 as pqv/wdt/p/prn/pr/prv/psv/ps/wdtn/pqn/psn/pq): sovereign state that this item is in (not to be used for human beings), located in the administrative territorial entity
5. 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
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. continent (wd:P30 as pqv/wdt/p/prn/pr/prv/psv/ps/wdtn/pqn/psn/pq): continent of which the subject is a part, located in/on physical feature
8. 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
9. place of publication, also known as published in (place), where published, release region, released in, published from (wd:P291 as pqv/wdt/p/prn/pr/prv/psv/ps/wdtn/pqn/psn/pq): geographical place of publication of the edition (use 1st edition when referring to works), significant place
10. 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

[Assistant]
The most relevant property to link an administrative division to its country is "country" (wdt:P17).

Now, let's summarize:
- We want all entities that are instances of "rural commune of Morocco" (wd:Q17318027).
- These entities should have "country" (wdt:P17) as "Morocco" (wd:Q1028).

Let's construct a SPARQL query to get all rural communes of Morocco, returning their IRIs and optionally their labels.

[Tool]
Got 1,276 rows and 2 columns, showing the first 5 and last 5 rows below:
| commune                           | communeLabel             |
| --------------------------------- | ------------------------ |
| Telouet (wd:Q1010760)             | Telouet (en)             |
| M'Hamid El Ghizlane (wd:Q1014625) | M'Hamid El Ghizlane (en) |
| Nkob (wd:Q10334921)               | Nkob (en)                |
| Sidi Borja (wd:Q11131837)         | Sidi Borja (en)          |
| Sidi Ouaaziz (wd:Q11220738)       | Sidi Ouaaziz (en)        |
| ...                               | ...                      |
| Bouarg (wd:Q894944)               | Bouarg (en)              |
| Bab Taza (wd:Q920156)             | Bab Taza (en)            |
| Souk Tlet El Gharb (wd:Q952999)   | Souk Tlet El Gharb (en)  |
| Oulad Youssef (wd:Q956049)        | Oulad Youssef (en)       |
| Alnif (wd:Q984312)                | Alnif (en)               |

[Tool] Stopped generation process

[User]
Feedback (status=done):
The SPARQL query correctly retrieves all entities that are instances of 'rural commune of Morocco' and are located in Morocco, returning their IRIs and optionally their English labels. The answer is accurate, and the query follows the specified rules, including returning IRIs and using optional clauses for labels. No further refinement is necessary.


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 ?municipality ?municipalityLabel ?website ?coordinates ?state ?stateLabel WHERE {
  ?municipality wdt:P31 wd:Q42744322 ; wdt:P17 wd:Q183 ; wdt:P131 ?state .
  ?state wdt:P31 wd:Q1221156 .
  OPTIONAL {
    ?municipality wdt:P856 ?website
  }
  OPTIONAL {
    ?municipality wdt:P625 ?coordinates
  }
  OPTIONAL {
    ?municipality rdfs:label ?municipalityLabel FILTER ( LANG( ?municipalityLabel ) = "en" )
  }
  OPTIONAL {
    ?state rdfs:label ?stateLabel FILTER ( LANG( ?stateLabel ) = "en" )
  }
}

Got 62 rows and 6 columns, showing the first 5 and last 5 rows below:
| municipality                       | municipalityLabel          | website                         | coordinates                                 | state                                    | stateLabel                         |
| ---------------------------------- | -------------------------- | ------------------------------- | ------------------------------------------- | ---------------------------------------- | ---------------------------------- |
| Neumünster (wd:Q3879)              | Neumünster (en)            | <https://www.neumuenster.de/>   | POINT(9.990000 54.071389) (geo:wktLiteral)  | Schleswig-Holstein (wd:Q1194)            | Schleswig-Holstein (en)            |
| Kiel (wd:Q1707)                    | Kiel (en)                  | <https://www.kiel.de/>          | POINT(10.139445 54.323333) (geo:wktLiteral) | Schleswig-Holstein (wd:Q1194)            | Schleswig-Holstein (en)            |
| Lübeck (wd:Q2843)                  | Lübeck (en)                | <https://www.luebeck.de/>       | POINT(10.686389 53.869722) (geo:wktLiteral) | Schleswig-Holstein (wd:Q1194)            | Schleswig-Holstein (en)            |
| Flensburg (wd:Q3798)               | Flensburg (en)             | <https://www.flensburg.de/>     | POINT(9.436667 54.781944) (geo:wktLiteral)  | Schleswig-Holstein (wd:Q1194)            | Schleswig-Holstein (en)            |
| Stralsund (wd:Q4065)               | Stralsund (en)             | <https://www.stralsund.de/>     | POINT(13.081945 54.309167) (geo:wktLiteral) | Mecklenburg-Western Pomerania (wd:Q1196) | Mecklenburg-Western Pomerania (en) |
| ...                                | ...                        | ...                             | ...                                         | ...                                      | ...                                |
| Bremerhaven (wd:Q2706)             | Bremerhaven (en)           | <https://www.bremerhaven.de/>   | POINT(8.583333 53.550000) (geo:wktLiteral)  | Bremen (wd:Q1209)                        | Bremen (en)                        |
| Bremen (wd:Q24879)                 | Bremen (en)                | <https://www.bremen.de/>        | POINT(8.807222 53.075833) (geo:wktLiteral)  | Bremen (wd:Q1209)                        | Bremen (en)                        |
| Neustadt an der Donau (wd:Q269010) | Neustadt an der Donau (en) | <https://www.neustadt-donau.de> | POINT(11.766667 48.800000) (geo:wktLiteral) | Bavaria (wd:Q980)                        | Bavaria (en)                       |
| Haßfurt (wd:Q492659)               | Haßfurt (en)               | <http://www.hassfurt.de>        | POINT(10.512306 50.035333) (geo:wktLiteral) | Bavaria (wd:Q980)                        | Bavaria (en)                       |
| Vöhringen (wd:Q534593)             | Vöhringen (en)             | <http://www.voehringen.de>      | POINT(10.083333 48.283333) (geo:wktLiteral) | Bavaria (wd:Q980)                        | Bavaria (en)                       |

This query returns all urban municipalities in Germany, along with their official website, coordinates (if available), and parent federated state. It also includes English labels for both the municipality and the state for improved readability.

[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 urban municipalities in Germany? For each result, return also its official website, coordinates (if available), and parent federated state.

[Assistant]
Let's break down the question:

1. We need to find entities that are "urban municipalities" in Germany.
2. For each, we need:
   - Official website
   - Coordinates (if available)
   - Parent federated state

Step 1: Identify the entity for "urban municipality" and for "Germany".
Step 2: Identify the relevant properties for:
   - Official website
   - Coordinates
   - Parent federated state

Let's start by searching for "urban municipality" in Wikidata.

[Tool]
Top 10 entity alternatives:
1. urban municipality, also known as urban gmina (wd:Q2616791): administrative division of Poland
2. Municipio Urbaneja, also known as Turístico Diego Bautista Urbaneja Municipality, Urbaneja Municipality (wd:Q2023615): second-level administrative division in the Anzoátegui State, Venezuela
3. urban-rural municipality, also known as urban-rural gmina (wd:Q3491915): administrative division of Poland
4. an urban municipality (wd:L1138646-S1)
5. an urban municipality (wd:L1138645-S1)
6. urban municipality in Germany, also known as city of Germany, city municipality of Germany (wd:Q42744322): municipality with town privileges in Germany (may e.g. legally prepend "Stadt" to its name)
7. urban municipality in Sweden (wd:Q12015578): 1863–1970
8. municipality of Estonia, also known as municipalities of Estonia, urban or rural municipality of Estonia (wd:Q612229): lowest administrative division in Estonia
9. urban area in Gotland Municipality, Sweden (wd:L454520-S1)
10. municipality, also known as municipalities (wd:Q15284): administrative division having corporate status and usually powers of self-government or jurisdiction

[Assistant]
The most relevant entity for "urban municipality in Germany" is wd:Q42744322 ("urban municipality in Germany", also known as "city of Germany", "city municipality of Germany").

Next, let's confirm the entity for "Germany" and then search for the relevant properties: official website, coordinates, and parent federated state.

[Tool]
Top 10 entity alternatives:
1. Germany, also known as BR Deutschland, Bundesrepublik Deutschland, Deutschland, Federal Republic of Germany (wd:Q183): country in Central Europe
2. Weimar Republic, also known as German Republic, Weimar Germany, Republic of Germany, Germany, German Reich (wd:Q41304): Germany in the years 1918/1919–1933
3. German Reich, also known as Deutsches Reich, German Empire, German Realm, Germany, Imperial Germany (wd:Q1206012): official name for the German nation state from 1871 to 1945, and name of Germany until 1949
4. Burg Drachenfels, also known as Germany (wd:Q1011486): castle
5. Germany (wd:Q5552078): European Parliament constituency
6. Geilenkirchen-Heinsberg, also known as Germany (wd:Q2268218)
7. Germany, also known as Germany, IN, Germany, Indiana (wd:Q18151573): unincorporated community in Clark County, Indiana
8. Germany (wd:Q19147844): poem by Vladimir Mayakovsky
9. Germany, also known as Ludwig, West (wd:Q3839160): Hetalia character
10. Germany, also known as Germany, Texas, Germany, TX (wd:Q15221573): unincorporated community in Houston County, Texas, United States

[Assistant]
The correct entity for Germany is wd:Q183.

Now, let's identify the properties for:
- Official website
- Coordinates
- Parent federated state

I'll search for these properties in Wikidata.

[Tool]
Top 10 property alternatives:
1. official website, also known as site (official), home page, site official, URL, URL (official) (wd:P856 as pqv/wdt/p/prn/pr/prv/psv/ps/wdtn/pqn/psn/pq): URL of the official page of an item (current or former). Usage: ...but see the "Hijacked or dead websites" section of the Talk page, URL
2. official shop URL, also known as online store, shop, shop URL, store, store URL (wd:P10225 as pqv/wdt/p/prn/pr/prv/psv/ps/wdtn/pqn/psn/pq): official URL where the agent sells products/merchandise, official website
3. official wiki URL, also known as official wiki, official wiki website, wiki, wiki URL, wiki website (wd:P12203 as pqv/wdt/p/prn/pr/prv/psv/ps/wdtn/pqn/psn/pq): URL of the official wiki for the item, URL
4. house publication, also known as has mouthpiece, publishes, publication, organization publication, organisation publication (wd:P2813 as pqv/wdt/p/prn/pr/prv/psv/ps/wdtn/pqn/psn/pq): media that speaks for an organization or a movement, and that is usually edited by its members
5. sitemap URL, also known as sitemap xml, site map URL, sitemap (wd:P11212 as pqv/wdt/p/prn/pr/prv/psv/ps/wdtn/pqn/psn/pq): URL to the sitemap of the subject's official website, URL
6. title of broader work, also known as container title, website title (wd:P6333 as pqv/wdt/p/prn/pr/prv/psv/ps/wdtn/pqn/psn/pq): title of website, journal or other work in which an article (or ...is published in. Use "published in" (P1433) instead if possible.
7. login URL, also known as sign-in URL, sign in URL, sign-in page, sign in page, login page (wd:P11903 as pqv/wdt/p/prn/pr/prv/psv/ps/wdtn/pqn/psn/pq): URL of a webpage used to log into a service, URL
8. topic's main Wikimedia portal, also known as main portal, portal (wd:P1151 as pqv/wdt/p/prn/pr/prv/psv/ps/wdtn/pqn/psn/pq): Wikimedia portal associated with this topic
9. official jobs URL, also known as official careers website, official careers URL, jobs website, jobs URL, careers URL (wd:P10311 as pqv/wdt/p/prn/pr/prv/psv/ps/wdtn/pqn/psn/pq): web page for jobs an employer offers, URL
10. official list URL (wd:P12388 as pqv/wdt/p/prn/pr/prv/psv/ps/wdtn/pqn/psn/pq): URL of a website listing instances of the subject, maintained by the authority on the subject

[Tool]
Top 10 property alternatives:
1. 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
2. this zoological name is coordinate with, also known as coordinate name (wd:P2743 as pqv/wdt/p/prn/pr/prv/psv/ps/wdtn/pqn/psn/pq): links coordinate zoological names, different from
3. time index, also known as time coordinate, timestamp, temporal coordinate, relative time (wd:P4895 as pqv/wdt/p/prn/pr/prv/psv/ps/wdtn/pqn/psn/pq): indicate when something happens relative to its beginning
4. genomic start, also known as start coordinate, genomic from, Genloc From, from, Genloc Start (wd:P644 as pqv/wdt/p/prn/pr/prv/psv/ps/wdtn/pqn/psn/pq): genomic starting coordinate of the biological sequence (e.g. a gene)
5. spatial reference system, also known as coordinate reference system, CRS, SRS (wd:P3037 as pqv/wdt/p/prn/pr/prv/psv/ps/wdtn/pqn/psn/pq): frame of reference used to produce a map
6. y-offset, also known as ordinate, y-axis (wd:P8685 as pqv/wdt/p/prn/pr/prv/psv/ps/wdtn/pqn/psn/pq): offset on the y-axis or secondary axis
7. genomic end, also known as stop coordinate, stop, genomic stop, Genloc End, Genloc Stop (wd:P645 as pqv/wdt/p/prn/pr/prv/psv/ps/wdtn/pqn/psn/pq): genomic ending coordinate of the biological sequence (e.g. a gene)
8. ranking, also known as peak position, place, placing, position, rank (wd:P1352 as pqv/wdt/p/prn/pr/prv/psv/ps/wdtn/pqn/psn/pq): subject's ordinal position as qualitatively evaluated relative to other members of a group
9. political alignment, also known as political position, alignment (wd:P1387 as pqv/wdt/p/prn/pr/prv/psv/ps/wdtn/pqn/psn/pq): political position within the left–right political spectrum
10. orientation, also known as alignment, direction, face, faces, facing (wd:P7469 as pqv/wdt/p/prn/pr/prv/psv/ps/wdtn/pqn/psn/pq): axis of alignment of an item, or direction perpendicular to its primary face (specify with P518 if necessary)

[Tool]
Top 10 property alternatives:
1. parent organization, also known as parent company, parent institution, parent organisation, parent unit, part of (wd:P749 as pqv/wdt/p/prn/pr/prv/psv/ps/wdtn/pqn/psn/pq): parent organization of an organization, opposite of subsidiaries (P355), owned by, part of
2. child, also known as has son, kids, mother of, kid, issue (wd:P40 as pqv/wdt/p/prn/pr/prv/psv/ps/wdtn/pqn/psn/pq): subject has object as child. Do not use for stepchildren—use "relative" (P1038), qualified with "type of kinship" (P1039), significant person, relative
3. parent, also known as guardian, parents (wd:P8810 as pqv/wdt/p/prn/pr/prv/psv/ps/wdtn/pqn/psn/pq): parent of the subject. Only use if neither father (P22) nor mother (P25) nor stepparent (P3448) is applicable., relative
4. mother, also known as mom, is child of, mommy, mum, mummy (wd:P25 as pqv/wdt/p/prn/pr/prv/psv/ps/wdtn/pqn/psn/pq): female parent of the subject. For stepmother, use "stepparent" (P3448), parent
5. father, also known as son of, child of, parent, is son of, is daughter of (wd:P22 as pqv/wdt/p/prn/pr/prv/psv/ps/wdtn/pqn/psn/pq): male parent of the subject. For stepfather, use "stepparent" (P3448), parent
6. Federal-State Cooperative System ID, also known as FSCS ID (wd:P6618 as pqv/wdt/p/prn/pr/prv/psv/ps/wdtn/pqn/psn/pq): identifier for libraries in the United States, assigned by the Institute of Museum and Library Services
7. 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
8. country, also known as sovereign state, state, land, host country (wd:P17 as pqv/wdt/p/prn/pr/prv/psv/ps/wdtn/pqn/psn/pq): sovereign state that this item is in (not to be used for human beings), located in the administrative territorial entity
9. 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
10. contains the administrative territorial entity, also known as has shires, has rural cities, has regions, has municipalities, has members (wd:P150 as pqv/wdt/p/prn/pr/prv/psv/ps/wdtn/pqn/psn/pq): (list of) direct subdivisions of an administrative territorial entity, has part(s)

[Tool]
Falling back to an unconstrained search on the full precomputed search indices:
Got more than the maximum supported number of object candidates (65,536)

Top 10 entity alternatives:
1. federated state of Germany, also known as States of Germany, state of Germany, Land, Bundesland, German federal state (wd:Q1221156): administrative division of the Federal Republic of Germany
2. ambassador of Germany to the Federated States of Micronesia (wd:Q60262954)
3. State of defence, also known as V-Fall, State of Defence in Germany, State of Defence (Germany), Verteidigungsfall (wd:Q2518552): constitutional state of emergency in Germany if the country is "...ack by armed force or imminently threatened with such an attack"
4. German state agency, also known as Landesbehörde, state agency in Germany, state agency of Germany (wd:Q1802122): government agency of a German state
5. state library of Germany, also known as Staatsbibliothek, State libraries of Germany (wd:Q1386438)
6. Federated States of Micronesia, also known as Micronesia, FSM, fm, Fed. Sts. Micronesia, Federated States of Micronesia, FSM (wd:Q702): island sovereign state in Oceania
7. U.S. state, also known as U.S. states, US state, USA state, U.S.A. state, United States states (wd:Q35657): constituent political entity of the United States of America
8. State Council of the German Democratic Republic, also known as State Council of East Germany, State Council of the GDR (wd:Q652009): collective Head of State for the former German Democratic Republic (1949-1990)
9. new states of Germany, also known as Eastern Germany, states of GDR that became states of the FRG, New Länder of Germany (wd:Q675430): five re-established states in former East Germany that acceded t...y with its 10 states upon German reunification on 3 October 1990
10. Turkish Federated State of Cyprus (wd:Q784851): 1975–1983 state on the region of Northern Cyprus

No other items found

No literal items found

[Assistant]
We have now identified the following:
- "urban municipality in Germany" (wd:Q42744322)
- "Germany" (wd:Q183)
- Official website property: wdt:P856
- Coordinates property: wdt:P625
- Parent federated state property: wdt:P131
- Federated state of Germany: wd:Q1221156

Now, let's plan the query:
- Find all entities that are instances of "urban municipality in Germany" (wd:Q42744322)
- Located in Germany (wd:Q183)
- For each, get:
  - Official website (wdt:P856)
  - Coordinates (wdt:P625)
  - Parent federated state (wdt:P131), but only if the parent is a "federated state of Germany" (wd:Q1221156)

Let's construct the SPARQL query accordingly.

[Tool]
Got 62 rows and 6 columns, showing the first 5 and last 5 rows below:
| municipality                       | municipalityLabel          | website                         | coordinates                                 | state                                    | stateLabel                         |
| ---------------------------------- | -------------------------- | ------------------------------- | ------------------------------------------- | ---------------------------------------- | ---------------------------------- |
| Neumünster (wd:Q3879)              | Neumünster (en)            | <https://www.neumuenster.de/>   | POINT(9.990000 54.071389) (geo:wktLiteral)  | Schleswig-Holstein (wd:Q1194)            | Schleswig-Holstein (en)            |
| Kiel (wd:Q1707)                    | Kiel (en)                  | <https://www.kiel.de/>          | POINT(10.139445 54.323333) (geo:wktLiteral) | Schleswig-Holstein (wd:Q1194)            | Schleswig-Holstein (en)            |
| Lübeck (wd:Q2843)                  | Lübeck (en)                | <https://www.luebeck.de/>       | POINT(10.686389 53.869722) (geo:wktLiteral) | Schleswig-Holstein (wd:Q1194)            | Schleswig-Holstein (en)            |
| Flensburg (wd:Q3798)               | Flensburg (en)             | <https://www.flensburg.de/>     | POINT(9.436667 54.781944) (geo:wktLiteral)  | Schleswig-Holstein (wd:Q1194)            | Schleswig-Holstein (en)            |
| Stralsund (wd:Q4065)               | Stralsund (en)             | <https://www.stralsund.de/>     | POINT(13.081945 54.309167) (geo:wktLiteral) | Mecklenburg-Western Pomerania (wd:Q1196) | Mecklenburg-Western Pomerania (en) |
| ...                                | ...                        | ...                             | ...                                         | ...                                      | ...                                |
| Bremerhaven (wd:Q2706)             | Bremerhaven (en)           | <https://www.bremerhaven.de/>   | POINT(8.583333 53.550000) (geo:wktLiteral)  | Bremen (wd:Q1209)                        | Bremen (en)                        |
| Bremen (wd:Q24879)                 | Bremen (en)                | <https://www.bremen.de/>        | POINT(8.807222 53.075833) (geo:wktLiteral)  | Bremen (wd:Q1209)                        | Bremen (en)                        |
| Neustadt an der Donau (wd:Q269010) | Neustadt an der Donau (en) | <https://www.neustadt-donau.de> | POINT(11.766667 48.800000) (geo:wktLiteral) | Bavaria (wd:Q980)                        | Bavaria (en)                       |
| Haßfurt (wd:Q492659)               | Haßfurt (en)               | <http://www.hassfurt.de>        | POINT(10.512306 50.035333) (geo:wktLiteral) | Bavaria (wd:Q980)                        | Bavaria (en)                       |
| Vöhringen (wd:Q534593)             | Vöhringen (en)             | <http://www.voehringen.de>      | POINT(10.083333 48.283333) (geo:wktLiteral) | Bavaria (wd:Q980)                        | Bavaria (en)                       |

[Tool] Stopped generation process

[User]
Feedback (status=refine):
The query is mostly correct and returns the required information: the IRIs of urban municipalities in Germany, their official websites, coordinates, and parent federated state. However, to fully comply with best practices, the query should also return the IRIs of the federated states (which it does), but if the user wants human-readable names for municipalities or states, these should be included via OPTIONAL { ?municipality rdfs:label ?municipalityLabel } and OPTIONAL { ?state rdfs:label ?stateLabel } (with a language filter if needed). This is not strictly required unless the user requests it, but it improves usability. Otherwise, the query is correct and complete.

[Assistant]
Thank you for your feedback! To improve usability, I will refine the query to also include the human-readable labels for both the municipalities and their parent federated states, using OPTIONAL clauses and filtering for English labels.

Here is the improved SPARQL query:

```sparql
SELECT ?municipality ?municipalityLabel ?website ?coordinates ?state ?stateLabel WHERE {
  ?municipality wdt:P31 wd:Q42744322 ;
                wdt:P17 wd:Q183 ;
                wdt:P131 ?state .
  ?state wdt:P31 wd:Q1221156 .
  OPTIONAL { ?municipality wdt:P856 ?website }
  OPTIONAL { ?municipality wdt:P625 ?coordinates }
  OPTIONAL { ?municipality rdfs:label ?municipalityLabel FILTER (LANG(?municipalityLabel) = "en") }
  OPTIONAL { ?state rdfs:label ?stateLabel FILTER (LANG(?stateLabel) = "en") }
}
```

This query will return:
- The IRI of each urban municipality in Germany
- Its English label (if available)
- Its official website (if available)
- Its coordinates (if available)
- The IRI of its parent federated state
- The English label of the parent federated state (if available)

Let me finalize this as the answer.

[Tool] Stopped generation process

[User]
Feedback (status=done):
The SPARQL query correctly retrieves all urban municipalities in Germany (wd:Q42744322) that are located in Germany (wd:Q183), along with their official website (wd:P856), coordinates (wd:P625), and parent federated state (wd:P131) which is filtered to be a federated state of Germany (wd:Q1221156). The query also retrieves English labels for both the municipality and the state using OPTIONAL clauses. The result is complete, follows the requirements, and adheres to the rules for SPARQL queries. No further refinement is necessary.