SELECT ?settlement ?coords ?meznoCoords ?settlementLabel WHERE {
  VALUES ?type { wd:Q532 wd:Q3957 }
  ?settlement wdt:P31 ?type ;
              wdt:P17 wd:Q213 ;
              wdt:P625 ?coords .
  BIND("POINT(14.644975 49.534590)"^^geo:wktLiteral AS ?meznoCoords)
  FILTER(49.219590 <= ?coords[1] && ?coords[1] <= 49.849590)
  FILTER(14.157975 <= ?coords[0] && ?coords[0] <= 15.131975)
  OPTIONAL { ?settlement rdfs:label ?settlementLabel FILTER (lang(?settlementLabel) = "en") }
}

This query returns all settlements (villages and towns) in the Czech Republic within a bounding box of approximately 35 km around Mezno. It includes the settlement IRIs, their coordinates, Mezno's coordinates (as the center point), and optionally the settlement label.

[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 settlements (villages and towns) in the Czech Republic within a 35 km radius from the village of Mezno? Please include their coordinates, the coordinates of the center point, and the distance from the center point.

[Assistant]
Let's break down the question:

1. We need to identify the village of Mezno in the Czech Republic.
2. We need to find all settlements (villages and towns) within a 35 km radius from Mezno.
3. For each settlement, we need their coordinates, the coordinates of Mezno (center point), and the distance from Mezno.

Step 1: Find the Wikidata entity for Mezno.
Step 2: Find the property for "coordinate location".
Step 3: Find the property for "instance of" and the relevant values for "village" and "town".
Step 4: Find the property for "country" and the entity for "Czech Republic".
Step 5: Construct a SPARQL query that:
- Gets the coordinates of Mezno.
- Finds all settlements (villages and towns) in the Czech Republic.
- Filters those within 35 km of Mezno using their coordinates.
- Returns the required information.

Let's start by searching for Mezno.

[Tool]
Top 10 entity alternatives:
1. Mezno (wd:Q2180733): village in Benešov District of Central Bohemian region
2. Mezno (wd:Q30917394): former railway stop in Mezno, Czech Republic
3. Mezno (wd:Q111685698): railway stop in Czechia
4. Mezno (wd:Q96153716): pond in Mezno, Czech Republic
5. Mitrovice (Mezno) (wd:Q12038239): village in Benešov District of Central Bohemian region
6. Mezno Tunnel (wd:Q108507418)
7. Meznokto metropola (wd:Q12352510)
8. Structural isomerism and thermod...ed by B3LYP and PCM calculations (wd:Q43063359): scientific article published in June 2010

[Assistant]
The most relevant entity for the village of Mezno in the Czech Republic is wd:Q2180733.

Next, let's confirm the property for "coordinate location" so we can get Mezno's coordinates.

[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. coordinates of depicted place, also known as depicted item geolocation, geolocation of object, object geolocation (wd:P9149 as pqv/wdt/p/prn/pr/prv/psv/ps/wdtn/pqn/psn/pq): coordinates of the place depicted in the work (or Commons image)
4. location map (wd:P1943 as pqv/wdt/p/prn/pr/prv/psv/ps/wdtn/pqn/psn/pq): blank geographic map image suitable for overlaying coordinate points, as defined at c:Category:Location maps, image
5. genomic start, also known as start coordinate, genomic from, Genloc From, from, Genloc Start (wd:P644 as pqv/wdt/p/prn/pr/prv/psv/ps/wdtn/pqn/psn/pq): genomic starting coordinate of the biological sequence (e.g. a gene)
6. set in environment, also known as set in location, takes place in, setting location, playing in, narrative set in (wd:P8411 as pqv/wdt/p/prn/pr/prv/psv/ps/wdtn/pqn/psn/pq): environment (geographic feature, building type, etc.) the narrative work is set in, significant place, depicts
7. narrative location, also known as set in location, set in, setting, setting location, setting of work (wd:P840 as pqv/wdt/p/prn/pr/prv/psv/ps/wdtn/pqn/psn/pq): the narrative of the work is set in this location, significant place, depicts
8. location of discovery, also known as found in, location of discovered object, place of discovery, site of discovery, source (wd:P189 as pqv/wdt/p/prn/pr/prv/psv/ps/wdtn/pqn/psn/pq): where the item was located when discovered, significant place
9. 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
10. coordinates of geographic center, also known as coordinates of geographic centre, geographic centre, geographic center, geographical midpoint, geographical centre (wd:P5140 as pqv/wdt/p/prn/pr/prv/psv/ps/wdtn/pqn/psn/pq): coordinates of the center of an area. Use qualifier "determination method" (P459) to indicate how, coordinate location

[Assistant]
The property for "coordinate location" is wd:P625.

Now, let's get the coordinates of Mezno (wd:Q2180733) using this property.

[Tool]
Got 1 row and 3 columns:
| subject             | property                       | object                                      |
| ------------------- | ------------------------------ | ------------------------------------------- |
| Mezno (wd:Q2180733) | coordinate location (wdt:P625) | POINT(14.644975 49.534590) (geo:wktLiteral) |

[Assistant]
Mezno's coordinates are POINT(14.644975 49.534590).

Next, let's identify the properties and entities for:
- "instance of" (to filter for villages and towns)
- "village" and "town" (as values for "instance of")
- "country" (to filter for Czech Republic)
- "Czech Republic" (as value for "country")

Let's search for the property "instance of" first.

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

[Assistant]
The property for "instance of" is wd:P31.

Now, let's search for the entities for "village" and "town" to use as values for "instance of".

[Tool]
Top 10 entity alternatives:
1. village, also known as small town (wd:Q532): small clustered human settlement smaller than a town
2. Edinburgh of the Seven Seas, also known as Village, Tristan Settlement, Settlement of Edinburgh, Tristan Island Settlement, The Settlement (wd:Q498153): main settlement of the island of Tristan da Cunha
3. The Village, also known as Village (wd:Q465227): 2004 film directed by M. Night Shyamalan
4. village in Turkey, also known as köy, village (wd:Q1529096): rural administrative division in Turkey
5. ri, also known as village (wd:Q483519): administrative division in Korea
6. village, also known as villages on Taiwan, villages of the Republic of China, villages of Taiwan, villages of China (Taiwan), villages in the Republic of China (wd:Q7930614): small settlements and a 4th level administrative subdivisions of...rical Chinese states, now divided between urban li and rural cun
7. The Village, also known as Sie fanden eine Heimat, Village (wd:Q3228143): 1953 Swiss drama film directed by Leopold Lindtberg
8. Salari jalil, also known as village (wd:Q5798259): village in Iran
9. Village (wd:Q2526032): 2011 board game
10. Küçüksöbeçimen, also known as Village (wd:Q6591308): Village in Sarız, Kayseri, Turkey

[Tool]
Top 10 entity alternatives:
1. town, also known as small city, small town (wd:Q3957): settlement that is smaller than a city but bigger than a large village (or a large borough in some areas)
2. Ipswich Town F.C., also known as The Blues, Town, The Tractor Boys, ITFC, Ipswich Town Football Club (wd:Q9653): association football club in Ipswich, England
3. Huddersfield Town A.F.C., also known as Huddersfield, Town, The Terriers, Huddersfield Town Football Club, Huddersfield Town FC (wd:Q19473): association football club in Huddersfield, England
4. Luton Town F.C., also known as The Hatters, Town, Luton Town Football Club, Luton Town FC, Luton Town (wd:Q18520): association football club in Luton, England
5. Swindon Town F.C., also known as STFC, Town, The Robins, Swindon Town Football Club, Swindon Town (wd:Q19634): association football club in Swindon, England
6. The Town, also known as Town (wd:Q725539): 2010 film directed by Ben Affleck
7. Shrewsbury Town F.C., also known as Town, The Shrews, STFC, Shrewsbury Town FC, Shrewsbury Town Football Club (wd:Q19626): association football club in Shrewsbury, England
8. Grimsby Town F.C., also known as Grimsby, Town, The Mariners, GTFC, Grimsby Town Football Club (wd:Q18515): association football club in Cleethorpes, England
9. Yeovil Town F.C., also known as YTFC, Town, Yeovil Town Football Club, Yeovil Town, Yeovil Town FC (wd:Q19651): association football club in Yeovil, England
10. Yeovil Town F.C., also known as The Glovers, Town, Yeovil, YTFC, Yeovil Town (wd:Q19651): association football club in Yeovil, England

[Assistant]
The relevant entities are:
- "village" (wd:Q532)
- "town" (wd:Q3957)

Now, let's search for the property "country" and the entity for "Czech Republic".

[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 entity alternatives:
1. Czech Republic, also known as CZR, CZE, Czechia, CZ (wd:Q213): country in Central Europe
2. Czech Republic, also known as CZ, CZE, CZR, Czechia (wd:Q213): country in Central Europe
3. Czech Republic (wd:Q3496079): member state of the Czech and Slovak Federal Republic (1990–1992)
4. Czech Republic (wd:Q5201764): constituency of the European Parliament
5. Czech Republic, also known as Star Trek Czech Republic (wd:Q99288382): the country of the Czech Republic as depicted in Star Trek
6. CZECH REPUBLIC (wd:Q60164570)
7. Czech Republic (wd:Q59760445): scholarly article by LUKAS LINEK & ZDENKA MANSFELDOVA published December 2004 in European Journal of Political Research
8. Czech Republic (wd:Q59212257): scholarly article by Aleš Kudrnáč et al published December 2016 in European Journal of Political Research Political Data Yearbook
9. Czech Republic (wd:Q59212246): scholarly article by IVAN PETÚŠEK & ALEŠ KUDRNÁČ published 5 Jul...n European Journal of Political Research Political Data Yearbook
10. Czech Republic (wd:Q57542866): scholarly article

[Assistant]
The property for "country" is wd:P17, and the entity for "Czech Republic" is wd:Q213.

Now, we have all the necessary components:
- Mezno: wd:Q2180733, coordinates: POINT(14.644975 49.534590)
- "instance of": wd:P31, values: "village" (wd:Q532), "town" (wd:Q3957)
- "country": wd:P17, value: "Czech Republic" (wd:Q213)
- "coordinate location": wd:P625

Next, let's construct a SPARQL query that:
- Gets all entities that are instance of "village" or "town", in the Czech Republic, with coordinates.
- Calculates the distance from Mezno's coordinates (14.644975, 49.534590) and filters for those within 35 km.
- Returns the settlement, its coordinates, Mezno's coordinates, and the distance.

I'll use the Wikidata GeoSPARQL functions for the distance calculation.

[Tool]
SPARQL execution failed:
Invalid SPARQL query: Prefix uom was not registered using a PREFIX declaration

[Assistant]
The error indicates that the prefix "uom" (unit of measure) was not declared. To fix this, I need to add the appropriate PREFIX declaration for "uom". In Wikidata, "uom" is typically "http://www.opengis.net/def/uom/OGC/1.0/".

I'll update the query to include this prefix.

[Tool]
SPARQL execution failed:
Unsupported unit of measurement for distance.. In file "/qlever/src/util/GeoSparqlHelpers.cpp " at line 72

[Assistant]
The error suggests that the unit of measurement for the distance function is not supported by this QLever endpoint. Some endpoints only support the default unit (degrees), or require the coordinates to be in a specific format.

Let's try removing the unit argument and see if the function works with the default behavior, which may return the distance in degrees. If so, we can convert 35 km to degrees (approximately 0.315 degrees at this latitude, but for now, let's see if the query works and what the output looks like).

I'll adjust the query accordingly.

[Tool]
Got 381 rows and 5 columns, showing the first 5 and last 5 rows below:
| settlement                   | settlementLabel    | coords                                      | distance              | meznoCoords                                 |
| ---------------------------- | ------------------ | ------------------------------------------- | --------------------- | ------------------------------------------- |
| Dědice (wd:Q11862916)        | Dědice (en)        | POINT(14.712500 49.513300) (geo:wktLiteral) | 5.41847 (xsd:decimal) | POINT(14.644975 49.534590) (geo:wktLiteral) |
| Alenina Lhota (wd:Q10769866) | Alenina Lhota (en) | POINT(14.521400 49.526400) (geo:wktLiteral) | 8.96484 (xsd:decimal) | POINT(14.644975 49.534590) (geo:wktLiteral) |
| Makov (wd:Q12034954)         | Makov (en)         | POINT(14.548600 49.458900) (geo:wktLiteral) | 10.9215 (xsd:decimal) | POINT(14.644975 49.534590) (geo:wktLiteral) |
| Všechov (wd:Q12006033)       | Všechov (en)       | POINT(14.618100 49.431400) (geo:wktLiteral) | 11.6373 (xsd:decimal) | POINT(14.644975 49.534590) (geo:wktLiteral) |
| Oltyně (wd:Q12042574)        | Oltyně (en)        | POINT(14.519400 49.423100) (geo:wktLiteral) | 15.3622 (xsd:decimal) | POINT(14.644975 49.534590) (geo:wktLiteral) |
| ...                          | ...                | ...                                         | ...                   | ...                                         |
| Hážovice (wd:Q12021219)      | Hážovice (en)      | POINT(18.170300 49.448700) (geo:wktLiteral) | 254.782 (xsd:decimal) | POINT(14.644975 49.534590) (geo:wktLiteral) |
| Kopytov (wd:Q96482553)       | Kopytov (en)       | POINT(18.354000 49.940000) (geo:wktLiteral) | 270.303 (xsd:decimal) | POINT(14.644975 49.534590) (geo:wktLiteral) |
| Soběšovice (wd:Q2519520)     | Soběšovice (en)    | POINT(18.466229 49.724872) (geo:wktLiteral) | 276.003 (xsd:decimal) | POINT(14.644975 49.534590) (geo:wktLiteral) |
| Svibice (wd:Q7652668)        | Svibice (en)       | POINT(18.614400 49.733300) (geo:wktLiteral) | 286.687 (xsd:decimal) | POINT(14.644975 49.534590) (geo:wktLiteral) |
| Třinec (wd:Q986102)          | Třinec (en)        | POINT(18.670815 49.677609) (geo:wktLiteral) | 290.498 (xsd:decimal) | POINT(14.644975 49.534590) (geo:wktLiteral) |

[Assistant]
The query works, but the distance is not in kilometers—it's in degrees. At the latitude of Mezno, 1 degree is approximately 78 km, so 35 km ≈ 0.45 degrees.

To get settlements within 35 km, we should filter for ?distance <= 0.45.

I'll update the query to include this filter and provide the final answer.

[Tool] Stopped generation process

[User]
Feedback (status=refine):
The query structure is generally correct and follows the requirements: it searches for settlements (villages and towns) in the Czech Republic within a 35 km radius of Mezno, includes their coordinates, the center point's coordinates, and the distance. However, the query returns no results. This could be due to the use of the geof:distance function, which may not be supported or may require both coordinates to be in the same format (e.g., both as geo:wktLiteral). Additionally, the filter for distance uses a hardcoded degree value (0.45), which is only an approximation for 35 km and may not be accurate everywhere. It would be better to ensure both coordinates are in the correct format and to check if the geof:distance function is supported by the endpoint. Also, verify that the coordinates for Mezno are correct and that settlements in the area have coordinates in the expected format. Consider using a more robust geospatial filter if available.

[Assistant]
Thank you for the feedback. Based on your suggestions, I will:

1. Ensure both coordinates are in the same format (geo:wktLiteral).
2. Check if geof:distance is supported by the endpoint by running a minimal test query.
3. Verify that settlements in the area have coordinates in the expected format.
4. Consider using a bounding box as a fallback if geof:distance is not supported.

First, let's test if geof:distance works at all by running a minimal query comparing Mezno's coordinates to another nearby settlement with coordinates in geo:wktLiteral format. I'll search for a settlement with coordinates near Mezno and try to compute the distance.

[Tool]
Got 65,536 rows and 3 columns, showing the first 10 rows below:
| subject                  | property                       | object                                       |
| ------------------------ | ------------------------------ | -------------------------------------------- |
| Ivory Coast (wd:Q1008)   | coordinate location (wdt:P625) | POINT(-6.000000 8.000000) (geo:wktLiteral)   |
| Cameroon (wd:Q1009)      | coordinate location (wdt:P625) | POINT(12.650000 5.133333) (geo:wktLiteral)   |
| The Gambia (wd:Q1005)    | coordinate location (wdt:P625) | POINT(-15.500000 13.500000) (geo:wktLiteral) |
| Guinea (wd:Q1006)        | coordinate location (wdt:P625) | POINT(-11.000000 10.000000) (geo:wktLiteral) |
| Guinea-Bissau (wd:Q1007) | coordinate location (wdt:P625) | POINT(-15.000000 12.000000) (geo:wktLiteral) |
| Gabon (wd:Q1000)         | coordinate location (wdt:P625) | POINT(11.500000 -0.683331) (geo:wktLiteral)  |
| Liberia (wd:Q1014)       | coordinate location (wdt:P625) | POINT(-9.750000 6.533333) (geo:wktLiteral)   |
| Cape Verde (wd:Q1011)    | coordinate location (wdt:P625) | POINT(-23.700000 15.300000) (geo:wktLiteral) |
| Lesotho (wd:Q1013)       | coordinate location (wdt:P625) | POINT(28.250000 -29.550000) (geo:wktLiteral) |
| Boston (wd:Q100)         | coordinate location (wdt:P625) | POINT(-71.057778 42.360278) (geo:wktLiteral) |
| ...                      | ...                            | ...                                          |

[Assistant]
The coordinates for settlements are indeed in geo:wktLiteral format, matching Mezno's format. Now, let's test if geof:distance works by calculating the distance between Mezno and another settlement with coordinates in geo:wktLiteral format.

I'll use Mezno (wd:Q2180733) and Dědice (wd:Q11862916), which is nearby and has coordinates POINT(14.712500 49.513300). I'll run a minimal query to compute the distance between these two points.

[Tool]
Got 1 row and 1 column:
| distance              |
| --------------------- |
| 5.41847 (xsd:decimal) |

[Assistant]
The geof:distance function works as expected and returns a value (in degrees) between two geo:wktLiteral points.

Now, let's check if the function works in a WHERE clause over multiple settlements, and if the FILTER on distance works as intended. I'll run a query to get all settlements (villages and towns) in the Czech Republic with coordinates, and filter those within 0.45 degrees of Mezno (approx. 35 km), using geof:distance. I'll limit the results to 10 for testing.

[Tool] Got no rows and 3 columns

[Assistant]
The query returned no results, even though we know there are settlements with coordinates near Mezno. This suggests that the geof:distance function may not be supported in a WHERE clause over multiple rows, or there is a limitation in the endpoint's implementation.

As a workaround, I will use a bounding box approach:
- Calculate the min and max latitude and longitude for a 35 km radius around Mezno.
- Filter settlements whose coordinates fall within this bounding box.

At Mezno's latitude (~49.53°N), 1 degree of latitude ≈ 111 km, and 1 degree of longitude ≈ 71.8 km (cos(latitude) * 111 km). So, 35 km ≈ 0.315° latitude, and 35 km ≈ 0.487° longitude.

Mezno's coordinates:
- Latitude: 49.534590
- Longitude: 14.644975

Bounding box:
- Latitude: 49.534590 ± 0.315 → [49.219590, 49.849590]
- Longitude: 14.644975 ± 0.487 → [14.157975, 15.131975]

I'll construct a query to select settlements within this bounding box and return their coordinates.

[Tool]
Got 22 rows and 4 columns, showing the first 5 and last 5 rows below:
| settlement                   | coords                                      | lat                   | lon                   |
| ---------------------------- | ------------------------------------------- | --------------------- | --------------------- |
| Alenina Lhota (wd:Q10769866) | POINT(14.521400 49.526400) (geo:wktLiteral) | 49.5264 (xsd:decimal) | 14.5214 (xsd:decimal) |
| Dolní Světlá (wd:Q10815988)  | POINT(14.899400 49.485300) (geo:wktLiteral) | 49.4853 (xsd:decimal) | 14.8994 (xsd:decimal) |
| Zadní Lomná (wd:Q10857090)   | POINT(14.913300 49.480800) (geo:wktLiteral) | 49.4808 (xsd:decimal) | 14.9133 (xsd:decimal) |
| Chobot (wd:Q11725809)        | POINT(14.820807 49.690375) (geo:wktLiteral) | 49.6904 (xsd:decimal) | 14.8208 (xsd:decimal) |
| Domamyšl (wd:Q11818719)      | POINT(14.877200 49.466400) (geo:wktLiteral) | 49.4664 (xsd:decimal) | 14.8772 (xsd:decimal) |
| ...                          | ...                                         | ...                   | ...                   |
| Třebějice (wd:Q2259116)      | POINT(14.819800 49.244492) (geo:wktLiteral) | 49.2445 (xsd:decimal) | 14.8198 (xsd:decimal) |
| Zadní Střítež (wd:Q2538397)  | POINT(14.916744 49.494147) (geo:wktLiteral) | 49.4941 (xsd:decimal) | 14.9167 (xsd:decimal) |
| wd:Q27974691                 | POINT(14.205750 49.392952) (geo:wktLiteral) | 49.393 (xsd:decimal)  | 14.2057 (xsd:decimal) |
| Benešov (wd:Q470394)         | POINT(14.687021 49.781696) (geo:wktLiteral) | 49.7817 (xsd:decimal) | 14.687 (xsd:decimal)  |
| wd:Q56414455                 | POINT(14.519589 49.403515) (geo:wktLiteral) | 49.4035 (xsd:decimal) | 14.5196 (xsd:decimal) |

[Assistant]
The bounding box approach successfully returns settlements (villages and towns) near Mezno, with their coordinates.

To fully answer your question, I will:
- Return the settlement IRI, coordinates, and also include Mezno's coordinates (as the center point).
- Calculate the distance in degrees between Mezno and each settlement using the Pythagorean theorem (approximate for small distances).
- Order by distance and include the distance in the result.

Here is the improved SPARQL query and answer.

[Tool] Stopped generation process

[User]
Feedback (status=retry):
The SPARQL query failed to execute because the QLever endpoint does not support the SQRT function or direct arithmetic in BIND expressions for calculating distances. Additionally, the use of geof:latitude and geof:longitude may not be supported. To address this, you should:

1. Use the Wikidata "around" query pattern with wdt:P625 and the wikibase:around service if supported, or otherwise filter settlements by bounding box only (less precise, but works with QLever).
2. If you must use a bounding box, do not attempt to calculate the distance in SPARQL if the endpoint does not support the required math functions. Instead, just return settlements within the bounding box and include their coordinates.
3. Always ensure that the query returns the IRIs of the settlements, and optionally their coordinates and labels.

Please rework the query to fit the capabilities of the QLever endpoint, avoiding unsupported functions and focusing on what is possible (bounding box filtering and coordinate retrieval).

[Assistant]
Thank you for the feedback. Since the QLever endpoint does not support SQRT, arithmetic, or geof:latitude/geof:longitude, I will use only the bounding box approach and avoid any distance calculations or unsupported functions.

The query will:
- Return all settlements (villages and towns) in the Czech Republic within the bounding box around Mezno (±0.315° latitude, ±0.487° longitude).
- Return the settlement IRI, coordinates, and optionally the label.
- Include Mezno's coordinates as a constant for reference.

Here is the revised query:

[Tool] Stopped generation process


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 ?periodical ?periodicalLabel WHERE {
  ?periodical wdt:P31 wd:Q1002697 ; wdt:P407 wd:Q143 .
  OPTIONAL {
    ?periodical rdfs:label ?periodicalLabel FILTER ( LANG( ?periodicalLabel ) = "en" )
  }
}

Got 89 rows and 2 columns, showing the first 5 and last 5 rows below:
| periodical                                                                         | periodicalLabel                                                          |
| ---------------------------------------------------------------------------------- | ------------------------------------------------------------------------ |
| Momenton! (wd:Q10331627)                                                           | Momenton! (en)                                                           |
| Pola Esperantisto (wd:Q11821362)                                                   | Pola Esperantisto (en)                                                   |
| El Popola Ĉinio (wd:Q119633)                                                       | El Popola Ĉinio (en)                                                     |
| Beletra Almanako N-ro 4 (februaro 2009) (wd:Q12345463)                             | Beletra Almanako N-ro 4 (februaro 2009) (en)                             |
| Bohema Revuo Esperantista (wd:Q12345746)                                           | Bohema Revuo Esperantista (en)                                           |
| ...                                                                                | ...                                                                      |
| Mondano (wd:Q80452320)                                                             | Mondano (en)                                                             |
| Norda prismo : kultura, socia, literatura, revuo, dumonata (wd:Q80452629)          | Norda prismo : kultura, socia, literatura, revuo, dumonata (en)          |
| Paco : oficiala organo de Mondpaca esperantista movado (MEM) (wd:Q80452991)        | Paco : oficiala organo de Mondpaca esperantista movado (MEM) (en)        |
| UABO : (antaǔe Ligilo por vidant...la asocio de blindul-organizaĵoj (wd:Q80454504) | UABO : (antaǔe Ligilo por vidant...la asocio de blindul-organizaĵoj (en) |
| Lingvo Internacia (wd:Q844150)                                                     | Lingvo Internacia (en)                                                   |

There are many periodicals with Esperanto as their primary language, such as 'Momenton!', 'Pola Esperantisto', 'El Popola Ĉinio', 'Bohema Revuo Esperantista', and 'Lingvo Internacia'. The full list includes 89 periodicals according to Wikidata.

[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] Which periodicals have a primary language of Esperanto?

[Assistant]
Let's break down the question:

1. We need to find entities that are periodicals.
2. These periodicals should have a primary language of Esperanto.

First, I will search for the entity representing "Esperanto" in Wikidata.

[Tool]
Top 10 entity alternatives:
1. Esperanto, also known as eo, epo, Esperanto language (wd:Q143): international auxiliary language designed by L. L. Zamenhof
2. Esperanto (wd:Q608836): official magazine of the World Esperanto Association (UEA)
3. Esperanto (wd:Q5398868): Belgo-English band
4. Esperanto, also known as Esperanto.4733 (wd:Q15734339): computer virus
5. Esperanto (wd:Q3733094): 1993 debut studio album by Elektric Music
6. Esperanto (wd:Q10489150): restaurant in Stockholm, Sweden
7. Esperanto (wd:Q12347414): Spanish ship
8. Esperanto (wd:Q11290111): album by Ryuichi Sakamoto
9. Esperanto (wd:Q5398858): US-American fishing schooner
10. Esperanto (wd:Q23012159): album by Freundeskreis

[Assistant]
The correct entity for the Esperanto language is wd:Q143.

Next, I need to identify the property for "primary language" or "language of work or name" for periodicals. I will search for properties related to "language" in Wikidata.

[Tool]
Top 10 property alternatives:
1. programmed in, also known as language, programming language, written in (wd:P277 as pqv/wdt/p/prn/pr/prv/psv/ps/wdtn/pqn/psn/pq): the programming language(s) in which the software is developed
2. languages spoken, written or signed, also known as language of expression, language, wrote language, writes language, uses language (wd:P1412 as pqv/wdt/p/prn/pr/prv/psv/ps/wdtn/pqn/psn/pq): language(s) that a person or a people speaks, writes or signs, including the native language(s)
3. language of work or name, also known as language of the reference, language of URL, language of website, language of work, named in language (wd:P407 as pqv/wdt/p/prn/pr/prv/psv/ps/wdtn/pqn/psn/pq): language associated with this creative work (such as books, show...guage" (P103) and "languages spoken, written or signed" (P1412))
4. official language, also known as language spoken, spoken in, speaking, language official (wd:P37 as pqv/wdt/p/prn/pr/prv/psv/ps/wdtn/pqn/psn/pq): language designated as official by this item, language used
5. language used, also known as languages used, medium of instruction, used language, uses language, working language (wd:P2936 as pqv/wdt/p/prn/pr/prv/psv/ps/wdtn/pqn/psn/pq): language widely used (spoken or written) in this place or at this event or organisation
6. language style, also known as manner, term register, obsolete, register, sense register (wd:P6191 as pqv/wdt/p/prn/pr/prv/psv/ps/wdtn/pqn/psn/pq): to denote of the way a sense of a word is used, e.g., slang, vulgarism, babytalk, colloquialism, etc.
7. native language, also known as first language, L1 speaker of, language native, mother tongue (wd:P103 as pqv/wdt/p/prn/pr/prv/psv/ps/wdtn/pqn/psn/pq): language or languages a person has learned from early childhood, languages spoken, written or signed
8. writing language, also known as languages of writings, languages written, language written, writing languages, language of works (wd:P6886 as pqv/wdt/p/prn/pr/prv/psv/ps/wdtn/pqn/psn/pq): language in which the writer has written their work, languages spoken, written or signed
9. Ethnologue language status, also known as EGIDS, language status (wd:P3823 as pqv/wdt/p/prn/pr/prv/psv/ps/wdtn/pqn/psn/pq): language status identifier by Ethnologue.com using EGIDS scale
10. variety of lexeme, form or sense, also known as dialect, used in dialect, variety of form (wd:P7481 as pqv/wdt/p/prn/pr/prv/psv/ps/wdtn/pqn/psn/pq): dialect, graphic or phonetic variety that this lexeme, form or sense is used in

[Assistant]
The most appropriate property for the language of a periodical is "language of work or name" (wd:P407).

Next, I need to identify the entity for "periodical" in Wikidata. I will search for "periodical" as an entity.

[Tool]
Top 10 entity alternatives:
1. periodical, also known as periodical literature, periodical publication, periodicals (wd:Q1002697): publication type, serial publication that appears in a new edition on a regular schedule
2. Periodical (wd:Q103961464): encyclopedia article
3. Periodical, also known as Publication, Magazine, Cartoon Magazine, Journal, Cartoon mag (wd:Q67520005): a monthly cartoon publication
4. periodicals, also known as periodical, periodicals as topic (wd:Q131470059): study of periodicals
5. periodical (wd:L727823-S1)
6. periodical (wd:L339209-F1)
7. periodical (wd:L339209)
8. periodical (wd:L325294-F1)
9. periodical (wd:L325294)
10. article, also known as journal article, periodical article, serial article (wd:Q191067): text that forms an independent part of a publication

[Assistant]
The correct entity for a periodical publication is wd:Q1002697.

Now, I will construct a SPARQL query to find all entities that are instances of periodical (wd:Q1002697) and have Esperanto (wd:Q143) as their language of work or name (wd:P407). I will also optionally retrieve their labels for readability.

[Tool]
Got 89 rows and 2 columns, showing the first 5 and last 5 rows below:
| periodical                                                                         | periodicalLabel                                                          |
| ---------------------------------------------------------------------------------- | ------------------------------------------------------------------------ |
| Momenton! (wd:Q10331627)                                                           | Momenton! (en)                                                           |
| Pola Esperantisto (wd:Q11821362)                                                   | Pola Esperantisto (en)                                                   |
| El Popola Ĉinio (wd:Q119633)                                                       | El Popola Ĉinio (en)                                                     |
| Beletra Almanako N-ro 4 (februaro 2009) (wd:Q12345463)                             | Beletra Almanako N-ro 4 (februaro 2009) (en)                             |
| Bohema Revuo Esperantista (wd:Q12345746)                                           | Bohema Revuo Esperantista (en)                                           |
| ...                                                                                | ...                                                                      |
| Mondano (wd:Q80452320)                                                             | Mondano (en)                                                             |
| Norda prismo : kultura, socia, literatura, revuo, dumonata (wd:Q80452629)          | Norda prismo : kultura, socia, literatura, revuo, dumonata (en)          |
| Paco : oficiala organo de Mondpaca esperantista movado (MEM) (wd:Q80452991)        | Paco : oficiala organo de Mondpaca esperantista movado (MEM) (en)        |
| UABO : (antaǔe Ligilo por vidant...la asocio de blindul-organizaĵoj (wd:Q80454504) | UABO : (antaǔe Ligilo por vidant...la asocio de blindul-organizaĵoj (en) |
| Lingvo Internacia (wd:Q844150)                                                     | Lingvo Internacia (en)                                                   |

[Tool] Stopped generation process

[User]
Feedback (status=done):
The SPARQL query correctly retrieves all periodicals (wd:Q1002697) whose primary language is Esperanto (wd:Q143), returning their IRIs and optionally their English labels. The answer is accurate, the query is well-formed, and the result matches the user's request. No further refinement is necessary.


PREFIX rdfs: <http://www.w3.org/2000/01/rdf-schema#>
PREFIX wdt: <http://www.wikidata.org/prop/direct/>
PREFIX p: <http://www.wikidata.org/prop/>
PREFIX wd: <http://www.wikidata.org/entity/>
PREFIX ps: <http://www.wikidata.org/prop/statement/>
SELECT DISTINCT ?city ?cityLabel ?population ?coordinates WHERE {
  ?city wdt:P31 wd:Q515 .
  ?city wdt:P17 wd:Q159 .
  OPTIONAL {
    ?city wdt:P1082 ?populationDirect .
    FILTER ( ?populationDirect > 100000 )
  }
  OPTIONAL {
    ?city p:P1082 ?popStatement .
    ?popStatement ps:P1082 ?populationStatement .
    FILTER ( ?populationStatement > 100000 )
  }
  BIND( COALESCE ( ?populationDirect , ?populationStatement ) AS ?population ) FILTER ( ?population > 100000 ) ?city wdt:P625 ?coordinates .
  OPTIONAL {
    ?city rdfs:label ?cityLabel .
    FILTER ( LANG( ?cityLabel ) = 'en' )
  }
}

This query returns cities in Russia with a population exceeding 100,000, their coordinates, and English labels. It considers both direct and qualified population statements, but may still miss cases where population is only on an administrative entity rather than the city item itself.

[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 cities in Russia with a population exceeding 100,000? For each one also return their coordinates

[Assistant]
Let's break down the question:

1. We need to find entities that are cities in Russia.
2. For each city, we want to check if its population exceeds 100,000.
3. For each qualifying city, we also want its coordinates.

First, let's identify:
- The entity for "Russia".
- The class for "city".
- The property for "population".
- The property for "coordinates".

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

[Tool]
Top 10 entity alternatives:
1. Russia, also known as Russian Federation, RUS, RU, RF, ISO 3166-1:RU (wd:Q159): country in Eastern Europe and Northern Asia
2. Russian Empire, also known as Tsarist Russia, Russia or Moscovy, Russia, Rusia, Rossia (wd:Q34266): former empire in Eurasia and North America (1721–1917)
3. Russia, also known as Russia, OH (wd:Q2477732): town in Ohio
4. Russia, also known as Russia, NY (wd:Q3708651): town in New York
5. Russia (wd:Q4339657): annual international documentary film festival in Yekaterinburg
6. Russia in the Junior Eurovision Song Contest 2006, also known as Russia (wd:Q12739658)
7. Intelligence and Security Committee Russia report, also known as The Russia report, Russia Report, Russia (wd:Q97577701): UK government investigation into allegations of Russian interference in British politics
8. Russia (wd:Q19149694): poem by Alexander Blok
9. Russia, also known as Russia, New Jersey, Russia, NJ (wd:Q20657737): township in Morris County, New Jersey
10. Russia, also known as Rossiya (wd:Q109806507): cast iron sculpture by Nikolay Laveretsky

[Assistant]
The correct entity for Russia as a country is wd:Q159.

Next, let's identify the class for "city" and the property for "population".

[Tool]
Top 10 entity alternatives:
1. city, also known as cities (wd:Q515): large human settlement
2. Manchester City F.C., also known as The Sky Blues, City, The Citizens, The Blues, Sky Blues (wd:Q50602): association football club in Manchester, England
3. Leicester City F.C., also known as The Foxes, Leicester Fosse Football Club, Leicester Fosse FC, Leicester Fosse, Leicester City (wd:Q19481): association football club in Leicester, England
4. Swansea City A.F.C., also known as Swansea City Association Football Club, The Swans, The Jacks, Swansea City AFC, Swansea City (wd:Q18659): association football club in Swansea, Wales
5. Stoke City F.C., also known as City, SCFC, Stoke, Stoke City, Stoke City FC (wd:Q18736): association football club in Stoke-on-Trent, England
6. Birmingham City F.C., also known as BCFC, City, Blues, Birmingham City Football Club, Birmingham City (wd:Q19444): association football club in Birmingham, England
7. Norwich City F.C., also known as Norwich City FC, The Canaries, Norwich City Football Club, Norwich City, Norwich (wd:Q18721): association football club in Norwich, England
8. Cardiff City F.C., also known as Cardiff, The Bluebirds, City, CCFC, Cardiff City Football Club (wd:Q18662): association football club in Cardiff, Wales
9. Hull City A.F.C., also known as City, HCAFC, Hull, Hull City, Hull City AFC (wd:Q19477): association football club in Hull, England
10. Coventry City F.C., also known as Coventry City FC, Sky Blues, Coventry City Football Club, Coventry City, Coventry (wd:Q19580): association football club in Coventry, England

[Assistant]
The correct entity for "city" as a large human settlement is wd:Q515.

Now, let's search for the property for "population".

[Tool]
Top 10 property alternatives:
1. tabular population, also known as population (wd:P4179 as pqv/wdt/p/prn/pr/prv/psv/ps/wdtn/pqn/psn/pq): same as population (P1082); used when there is data for many different points in time
2. population, also known as inhabitants, human population (wd:P1082 as pqv/wdt/p/prn/pr/prv/psv/ps/wdtn/pqn/psn/pq): number of people inhabiting the place; number of people of subject
3. has census, also known as has human population census (wd:P8701 as pqv/wdt/p/prn/pr/prv/psv/ps/wdtn/pqn/psn/pq): general population census of the country or region
4. urban population (wd:P6343 as pqv/wdt/p/prn/pr/prv/psv/ps/wdtn/pqn/psn/pq): number of people living within the territorial entity who live in its urban parts, population
5. birth rate (wd:P8763 as pqv/wdt/p/prn/pr/prv/psv/ps/wdtn/pqn/psn/pq): the total number of live births per 1,000 population
6. category populated by, also known as category filled by, category has template, cat populated by, component adding into the category, populated by (wd:P4329 as pqv/wdt/p/prn/pr/prv/psv/ps/wdtn/pqn/psn/pq): software component (template, module, extension, MediaWiki core) populating the category
7. rural population (wd:P6344 as pqv/wdt/p/prn/pr/prv/psv/ps/wdtn/pqn/psn/pq): number of people living within the territorial entity who live in its rural parts, population
8. female population (wd:P1539 as pqv/wdt/p/prn/pr/prv/psv/ps/wdtn/pqn/psn/pq): number of female people inhabiting the place; number of female people of subject, population
9. male population, also known as male inhabitants, number of males (wd:P1540 as pqv/wdt/p/prn/pr/prv/psv/ps/wdtn/pqn/psn/pq): number of male people inhabiting the place; number of male people of subject, population
10. number of households, also known as dwellings, households (wd:P1538 as pqv/wdt/p/prn/pr/prv/psv/ps/wdtn/pqn/psn/pq): total number of households in this place, includes dwellings of all types

[Assistant]
The correct property for total population is wdt:P1082.

Now, let's find the property for "coordinates".

[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. coordinates of depicted place, also known as depicted item geolocation, geolocation of object, object geolocation (wd:P9149 as pqv/wdt/p/prn/pr/prv/psv/ps/wdtn/pqn/psn/pq): coordinates of the place depicted in the work (or Commons image)
4. coordinates of geographic center, also known as coordinates of geographic centre, geographic centre, geographic center, geographical midpoint, geographical centre (wd:P5140 as pqv/wdt/p/prn/pr/prv/psv/ps/wdtn/pqn/psn/pq): coordinates of the center of an area. Use qualifier "determination method" (P459) to indicate how, coordinate location
5. 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
6. 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)
7. 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
8. coordinates of the point of view, also known as camera location, camera coordinates, viewpoint coordinates, coordinates of point of view, coordinates of pov (wd:P1259 as pqv/wdt/p/prn/pr/prv/psv/ps/wdtn/pqn/psn/pq): point from which the scene depicted by the element is seen (element can be a photo, a painting, etc.)
9. 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
10. named place on map, also known as name on map, place on map (wd:P9664 as pqv/wdt/p/prn/pr/prv/psv/ps/wdtn/pqn/psn/pq): property linking a map to a place named on it

[Assistant]
The correct property for coordinates is wdt:P625.

Now, let's combine all this information:
- Cities: instances of wd:Q515
- Located in Russia: wdt:P17 wd:Q159
- Population: wdt:P1082 > 100,000
- Coordinates: wdt:P625

Let's write a SPARQL query to get all cities in Russia with a population exceeding 100,000, and their coordinates.

[Tool]
Got 11 rows and 3 columns, showing the first 5 and last 5 rows below:
| city                  | population            | coordinates                                  |
| --------------------- | --------------------- | -------------------------------------------- |
| Tolyatti (wd:Q1341)   | 667956 (xsd:decimal)  | POINT(49.416667 53.516667) (geo:wktLiteral)  |
| Obninsk (wd:Q175651)  | 132477 (xsd:decimal)  | POINT(36.616667 55.100000) (geo:wktLiteral)  |
| Murino (wd:Q1978797)  | 112536 (xsd:decimal)  | POINT(30.438611 60.051389) (geo:wktLiteral)  |
| Maykop (wd:Q3752)     | 139084 (xsd:decimal)  | POINT(40.083333 44.600000) (geo:wktLiteral)  |
| Orsk (wd:Q47166)      | 185362 (xsd:decimal)  | POINT(58.468100 51.229000) (geo:wktLiteral)  |
| ...                   | ...                   | ...                                          |
| Kemerovo (wd:Q6066)   | 542928 (xsd:decimal)  | POINT(86.066667 55.333333) (geo:wktLiteral)  |
| Irkutsk (wd:Q6576)    | 605708 (xsd:decimal)  | POINT(104.280000 52.289167) (geo:wktLiteral) |
| Abakan (wd:Q875)      | 181709 (xsd:decimal)  | POINT(91.416667 53.716667) (geo:wktLiteral)  |
| Chelyabinsk (wd:Q906) | 1176770 (xsd:decimal) | POINT(61.400000 55.150000) (geo:wktLiteral)  |
| Vladivostok (wd:Q959) | 591628 (xsd:decimal)  | POINT(131.885278 43.115000) (geo:wktLiteral) |

[Tool] Stopped generation process

[User]
Feedback (status=refine):
The SPARQL query is mostly correct and returns the expected information: cities in Russia with a population over 100,000 and their coordinates. However, there are two refinements needed:

1. The query currently only returns cities that have a direct population statement (wdt:P1082). Some cities may have population qualifiers (e.g., for a specific year) or population data on their administrative entity rather than the city item itself. Consider using OPTIONAL or UNION patterns to capture more cases, or at least document this limitation.

2. The query does not return labels for the cities, which would be helpful for human readability. While not required, adding OPTIONAL {?city rdfs:label ?cityLabel. FILTER(LANG(?cityLabel) = 'en')} would improve the output for users.

Otherwise, the query structure is correct and follows the rules.

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

1. Population Statements:
   - The current query only retrieves cities with a direct wdt:P1082 (population) triple. Some cities may have population information as a qualified statement (e.g., for a specific year) or on their administrative entity (e.g., the city’s municipality or urban okrug).
   - To improve coverage, I will:
     - Use both direct (wdt:P1082) and statement (p:P1082/psv:P1082) paths for population.
     - Optionally, check if the city has a “part of” (P361) or “has part” (P527) relationship to an administrative entity with population data, but will document that this is not exhaustive.

2. Labels:
   - I will add OPTIONAL {?city rdfs:label ?cityLabel. FILTER(LANG(?cityLabel) = 'en')} for human-readable city names.

Let’s refine the query accordingly.

[Tool]
Got 11 rows and 4 columns, showing the first 5 and last 5 rows below:
| city                  | cityLabel        | population            | coordinates                                  |
| --------------------- | ---------------- | --------------------- | -------------------------------------------- |
| Tolyatti (wd:Q1341)   | Tolyatti (en)    | 667956 (xsd:decimal)  | POINT(49.416667 53.516667) (geo:wktLiteral)  |
| Obninsk (wd:Q175651)  | Obninsk (en)     | 132477 (xsd:decimal)  | POINT(36.616667 55.100000) (geo:wktLiteral)  |
| Murino (wd:Q1978797)  | Murino (en)      | 112536 (xsd:decimal)  | POINT(30.438611 60.051389) (geo:wktLiteral)  |
| Maykop (wd:Q3752)     | Maykop (en)      | 139084 (xsd:decimal)  | POINT(40.083333 44.600000) (geo:wktLiteral)  |
| Orsk (wd:Q47166)      | Orsk (en)        | 185362 (xsd:decimal)  | POINT(58.468100 51.229000) (geo:wktLiteral)  |
| ...                   | ...              | ...                   | ...                                          |
| Kemerovo (wd:Q6066)   | Kemerovo (en)    | 542928 (xsd:decimal)  | POINT(86.066667 55.333333) (geo:wktLiteral)  |
| Irkutsk (wd:Q6576)    | Irkutsk (en)     | 605708 (xsd:decimal)  | POINT(104.280000 52.289167) (geo:wktLiteral) |
| Abakan (wd:Q875)      | Abakan (en)      | 181709 (xsd:decimal)  | POINT(91.416667 53.716667) (geo:wktLiteral)  |
| Chelyabinsk (wd:Q906) | Chelyabinsk (en) | 1176770 (xsd:decimal) | POINT(61.400000 55.150000) (geo:wktLiteral)  |
| Vladivostok (wd:Q959) | Vladivostok (en) | 591628 (xsd:decimal)  | POINT(131.885278 43.115000) (geo:wktLiteral) |

[Tool] Stopped generation process

[User]
Feedback (status=done):
The SPARQL query correctly retrieves cities in Russia with a population exceeding 100,000, along with their coordinates and English labels. It uses both direct and qualified population statements, applies the population filter appropriately, and returns the city IRIs as required. The query also avoids non-standard label services and follows all specified rules. The answer is complete and correct in its current form.


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 ?chapter ?chapterLabel ?japaneseTitle ?volume ?seriesOrdinal ?publicationDate ?placeOfPublication WHERE {
  ?chapter wdt:P31 wd:Q53460949 ; wdt:P179 wd:Q3853685 .
  OPTIONAL {
    ?chapter wdt:P1705 ?japaneseTitle
  }
  OPTIONAL {
    ?chapter wdt:P478 ?volume
  }
  OPTIONAL {
    ?chapter wdt:P1545 ?seriesOrdinal
  }
  OPTIONAL {
    ?chapter wdt:P577 ?publicationDate
  }
  OPTIONAL {
    ?chapter wdt:P291 ?placeOfPublication
  }
  OPTIONAL {
    ?chapter rdfs:label ?chapterLabel FILTER ( LANG( ?chapterLabel ) = "en" )
  }
}

Got 7 rows and 7 columns:
| chapter                                        | chapterLabel                        | japaneseTitle | volume | seriesOrdinal | publicationDate                     | placeOfPublication |
| ---------------------------------------------- | ----------------------------------- | ------------- | ------ | ------------- | ----------------------------------- | ------------------ |
| A Chance Meeting (wd:Q131383795)               | A Chance Meeting (en)               |               |        |               | 2024-11-20T00:00:00Z (xsd:dateTime) |                    |
| Cutting the Gordian Knot (wd:Q131383796)       | Cutting the Gordian Knot (en)       |               |        |               | 2024-11-27T00:00:00Z (xsd:dateTime) |                    |
| A Once-in-a-Lifetime Encounter (wd:Q131383797) | A Once-in-a-Lifetime Encounter (en) |               |        |               | 2024-12-04T00:00:00Z (xsd:dateTime) |                    |
| The Sacred Light of the Dead (wd:Q132175258)   | The Sacred Light of the Dead (en)   |               |        |               |                                     |                    |
| The Fire Burns Again (wd:Q132175259)           | The Fire Burns Again (en)           |               |        |               |                                     |                    |
| Sifting Through the Ashes (wd:Q132175260)      | Sifting Through the Ashes (en)      |               |        |               |                                     |                    |
| The Entrusted Proof (wd:Q132175261)            | The Entrusted Proof (en)            |               |        |               |                                     |                    |

The following items are manga chapters that are part of the "Detective Conan" series in Wikidata:

- A Chance Meeting (wd:Q131383795): publication date 2024-11-20
- Cutting the Gordian Knot (wd:Q131383796): publication date 2024-11-27
- A Once-in-a-Lifetime Encounter (wd:Q131383797): publication date 2024-12-04
- The Sacred Light of the Dead (wd:Q132175258)
- The Fire Burns Again (wd:Q132175259)
- Sifting Through the Ashes (wd:Q132175260)
- The Entrusted Proof (wd:Q132175261)

For these chapters, Japanese title, volume, series ordinal, and place of publication are not available in Wikidata at this time.

[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] Which items are manga chapters that are part of the "Detective Conan" series? Provide each chapter's Japanese title (if available), volume (if available), series ordinal (if available), publication date (if available), and place of publication (if available).

[Assistant]
Let's break down the question:

1. We need to find items that are manga chapters.
2. These chapters must be part of the "Detective Conan" series.
3. For each chapter, we want to retrieve:
   - Japanese title (if available)
   - Volume (if available)
   - Series ordinal (if available)
   - Publication date (if available)
   - Place of publication (if available)

Step 1: Identify the entity for "Detective Conan" and for "manga chapter".
Step 2: Identify the property for "part of series".
Step 3: Identify properties for Japanese title, volume, series ordinal, publication date, and place of publication.

Let's start by searching for "Detective Conan".

[Tool]
Top 10 entity alternatives:
1. Detective Conan, also known as Case Closed (wd:Q3853685): Japanese manga series
2. Detective Conan, also known as Case Closed, Conan, Meitantei Conan, Meitantei Konan (wd:Q185143): Japanese animy series
3. Case Closed, also known as Detective Conan, Meitantei Conan (wd:Q5363072): Japanese anime television series
4. Detective Conan, also known as Case Closed (wd:Q12294798): film series
5. Detective Conan Short Stories, also known as Detective Conan Tokubetsu-hen, Meitantei Conan Tokubetsu-hen (wd:Q1201105): Japanese manga series
6. Case Closed, vol.2, also known as Detective Conan volume 2, Case Closed (Book 2), Detective Conan, vol.2, Detective Conan vol.2, Detective Conan vol 2 (wd:Q21082202)
7. Case Closed, vol.4, also known as Detective Conan 4, Detective Conan volume 4, Detective Conan, vol.4, Detective Conan vol.4, Detective Conan vol 4 (wd:Q26912923)
8. Case Closed, vol.3, also known as Case Closed (Book 3), Case Closed vol 3, Case Closed vol.3, Case Closed volume 3, Detective Conan 03 (wd:Q26905865)
9. Case Closed, vol.1, also known as Case Closed 01, Detective Conan volume 1, Detective Conan, vol.1, Detective Conan vol.1, Detective Conan vol 1 (wd:Q26884509)
10. Detective Conan character, also known as Case Closed character (wd:Q64541352): manga or anime character from Detective Conan

[Assistant]
The main manga series "Detective Conan" is represented by wd:Q3853685.

Next, let's identify the entity for "manga chapter" and the property for "part of series" to find chapters that are part of this series.

[Tool]
Top 10 entity alternatives:
1. manga chapter (wd:Q53460949): a chapter that is part of manga
2. Chapter 16. Developmental Effects of Manganese (wd:Q60146362)
3. manga, also known as Japanese-style comics, manga novel (wd:Q8274): comics employing a set of Japanese stylistic conventions, produced in Japan or elsewhere
4. maNga (wd:Q189410): Turkish nu metal band
5. chapter, also known as book chapter, book section (wd:Q1980247): section of a work, most commonly a book
6. Manga, also known as Manga, Burkina Faso (wd:Q999498): city in Burkina Faso
7. chapter (wd:Q216285): body of clergy in Roman Catholic, Anglican, and Nordic Lutheran churches
8. cathedral chapter, also known as chapter (wd:Q3184737): group of priests that governs the different activities the cathedrals, called canons
9. Manga, also known as Manga, Minas Gerais (wd:Q283581): municipality in Minas Gerais, Brazil
10. Manga (wd:Q984275): association football player, Brazilian footballer

[Assistant]
The entity for "manga chapter" is wd:Q53460949.

Now, let's find the property for "part of series" to link manga chapters to the "Detective Conan" series.

[Tool]
Top 10 property alternatives:
1. part of the series, also known as series, video game series, subseries, part of series, listed in (wd:P179 as pqv/wdt/p/prn/pr/prv/psv/ps/wdtn/pqn/psn/pq): series which contains the subject, part of
2. collection, also known as editorial collection, series, repository, museum collection, held by (wd:P195 as pqv/wdt/p/prn/pr/prv/psv/ps/wdtn/pqn/psn/pq): art, museum, archival, or bibliographic collection of which the subject is part, part of
3. season, also known as TV series, television season, TV season, television series, series of television program (wd:P4908 as pqv/wdt/p/prn/pr/prv/psv/ps/wdtn/pqn/psn/pq): season of a series (televison, web, podcast), part of
4. series ordinal, also known as ordinal, unit number, sort order, sorting order, series number (wd:P1545 as pqv/wdt/p/prn/pr/prv/psv/ps/wdtn/pqn/psn/pq): position of an item in its parent series (most frequently a 1-ba...d from "ranking" defined as a property for evaluating a quality)
5. has spin-off, also known as spin-offs, TV spinoff, TV spin-off, TV series spinoff, TV series spin-off (wd:P2512 as pqv/wdt/p/prn/pr/prv/psv/ps/wdtn/pqn/psn/pq): works that are spin-offs of this item
6. MusicBrainz series ID, also known as MBS, MB series ID, MusicBrainz ID, Series ID, Series MBID (wd:P1407 as pqv/wdt/p/prn/pr/prv/psv/ps/wdtn/pqn/psn/pq): identifier for a series per the MusicBrainz open music encyclopedia
7. number of seasons, also known as no. of seasons, no. of series, number of series, seasons (wd:P2437 as pqv/wdt/p/prn/pr/prv/psv/ps/wdtn/pqn/psn/pq): number of seasons a television or radio series has had, number of parts of this work
8. 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
9. 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
10. number of episodes, also known as series length, no. of episodes, episodes, episode count (wd:P1113 as pqv/wdt/p/prn/pr/prv/psv/ps/wdtn/pqn/psn/pq): number of episodes in a film/TV/radio series, number of parts of this work

[Assistant]
The property for "part of the series" is wd:P179.

Now, let's identify the properties for the requested chapter details:
- Japanese title
- Volume
- Series ordinal
- Publication date
- Place of publication

Let's search for the property for "Japanese title" first.

[Tool]
Top 10 property alternatives:
1. native label, also known as official title, original label, original language label, original language name, original language title (wd:P1705 as pqv/wdt/p/prn/pr/prv/psv/ps/wdtn/pqn/psn/pq): label for the items in their official language  or their original language, name
2. name in kana, also known as kana reading, reading in kana, yomigana, kana name, kana (wd:P1814 as pqv/wdt/p/prn/pr/prv/psv/ps/wdtn/pqn/psn/pq): the reading of a Japanese name in kana, transliteration or transcription, name
3. JMDb film ID, also known as Japanese Movie Database movie ID, JMDb movie identifier, JMDb movie ID, JMDb film identifier, JMDb ID (wd:P2400 as pqv/wdt/p/prn/pr/prv/psv/ps/wdtn/pqn/psn/pq): film IDs on Japanese Movie Database
4. JCDb ID, also known as Japanese Cinema Database ID (wd:P11283 as pqv/wdt/p/prn/pr/prv/psv/ps/wdtn/pqn/psn/pq): identifier for a film in the Japanese Cinema Database
5. Japanese magazine code (wd:P8473 as pqv/wdt/p/prn/pr/prv/psv/ps/wdtn/pqn/psn/pq): unique code for magazines used in Japan
6. official name, also known as long title, name, official title, registered name, full title (wd:P1448 as pqv/wdt/p/prn/pr/prv/psv/ps/wdtn/pqn/psn/pq): official name of the subject in its official language(s), name
7. Japan Search name ID, also known as Japan Search name identifier, jpsearch.go.jp name ID (wd:P6698 as pqv/wdt/p/prn/pr/prv/psv/ps/wdtn/pqn/psn/pq): identifier in the Japan Search portal
8. JMDb person or company ID, also known as Japanese Movie Database company ID, Japanese Movie Database person ID, Japanese Movie Database person or company ID, JMDb company ID, JMDb person ID (wd:P3703 as pqv/wdt/p/prn/pr/prv/psv/ps/wdtn/pqn/psn/pq): ID of an actor or a company at Japanese Movie Database
9. has kanji reading, also known as kanji reading, reading as a kanji (wd:P13045 as pqv/wdt/p/prn/pr/prv/psv/ps/wdtn/pqn/psn/pq): phonetic reading or pronunciation of the kanji
10. Famitsu game ID (wd:P10144 as pqv/wdt/p/prn/pr/prv/psv/ps/wdtn/pqn/psn/pq): identifier of a video game in the Famitsu database

[Assistant]
The property for "native label" (original language title) is wd:P1705, which is suitable for the Japanese title.

Now, let's identify the properties for:
- Volume
- Series ordinal
- Publication date
- Place of publication

Let's search for "volume" next.

[Tool]
Top 10 property alternatives:
1. 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
2. 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
3. number of parts of this work, also known as number of movements, number of parts of this work of art, number of pictures, number of scenes, number of segments of anthology film (wd:P2635 as pqv/wdt/p/prn/pr/prv/psv/ps/wdtn/pqn/psn/pq): the number of parts that a work comprises
4. volume as quantity, also known as tonnage, volume (geometry), vaq, spatial volume, quantity as volume (wd:P2234 as pqv/wdt/p/prn/pr/prv/psv/ps/wdtn/pqn/psn/pq): quantity of three-dimensional space
5. total exports, also known as exports, export volume (wd:P2135 as pqv/wdt/p/prn/pr/prv/psv/ps/wdtn/pqn/psn/pq): amount of goods and services sold to other countries
6. maximum size or capacity, also known as file size limit, maximum file size, maximum volume size, size limit, storage capacity (wd:P3559 as pqv/wdt/p/prn/pr/prv/psv/ps/wdtn/pqn/psn/pq): maximum allowed/supported/usable (data) size
7. measured physical quantity, also known as measure of, measures, physical quantity, quantity (wd:P111 as pqv/wdt/p/prn/pr/prv/psv/ps/wdtn/pqn/psn/pq): value of a physical property expressed as number multiplied by a unit
8. quantity, also known as amount, total number, total, qty, occurrences (wd:P1114 as pqv/wdt/p/prn/pr/prv/psv/ps/wdtn/pqn/psn/pq): number of instances of this subject in the universe of the subje...e actual number of instances in Wikidata may be lower or higher)
9. production rate, also known as production volume, rate of production (wd:P2197 as pqv/wdt/p/prn/pr/prv/psv/ps/wdtn/pqn/psn/pq): amount of a given material produced in a given time
10. engine displacement, also known as capacity, ccm engine, displacement, engine ccm (wd:P8628 as pqv/wdt/p/prn/pr/prv/psv/ps/wdtn/pqn/psn/pq): measure of the cylinder volume of an engine, volume as quantity

[Assistant]
The property for "volume" is wd:P478.

Now, let's search for "series ordinal" to get the chapter number within the series.

[Tool]
Top 10 property alternatives:
1. series ordinal, also known as ordinal, unit number, sort order, sorting order, series number (wd:P1545 as pqv/wdt/p/prn/pr/prv/psv/ps/wdtn/pqn/psn/pq): position of an item in its parent series (most frequently a 1-ba...d from "ranking" defined as a property for evaluating a quality)
2. 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
3. number of seasons, also known as no. of seasons, no. of series, number of series, seasons (wd:P2437 as pqv/wdt/p/prn/pr/prv/psv/ps/wdtn/pqn/psn/pq): number of seasons a television or radio series has had, number of parts of this work
4. regnal ordinal, also known as regnal number, royal numeral (wd:P7338 as pqv/wdt/p/prn/pr/prv/psv/ps/wdtn/pqn/psn/pq): (qualifier) the ordinal number used with this name. Generally to...ish it among persons with the same name who held the same office
5. part of the series, also known as series, video game series, subseries, part of series, listed in (wd:P179 as pqv/wdt/p/prn/pr/prv/psv/ps/wdtn/pqn/psn/pq): series which contains the subject, part of
6. MusicBrainz series ID, also known as MBS, MB series ID, MusicBrainz ID, Series ID, Series MBID (wd:P1407 as pqv/wdt/p/prn/pr/prv/psv/ps/wdtn/pqn/psn/pq): identifier for a series per the MusicBrainz open music encyclopedia
7. 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
8. collection, also known as editorial collection, series, repository, museum collection, held by (wd:P195 as pqv/wdt/p/prn/pr/prv/psv/ps/wdtn/pqn/psn/pq): art, museum, archival, or bibliographic collection of which the subject is part, part of
9. ordered by (wd:P8004 as pqv/wdt/p/prn/pr/prv/psv/ps/wdtn/pqn/psn/pq): subject that ordered the act
10. GCD series ID, also known as comics.org series ID, Grand Comics Database series ID, GCD series (wd:P3589 as pqv/wdt/p/prn/pr/prv/psv/ps/wdtn/pqn/psn/pq): identifier of a comic book series in the Grand Comics Database (GCD)

[Assistant]
The property for "series ordinal" is wd:P1545.

Now, let's search for "publication date".

[Tool]
Top 10 property alternatives:
1. 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
2. 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
3. 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
4. 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
5. announcement date, also known as released, date teased, made public on, public announcement date, published (wd:P6949 as pqv/wdt/p/prn/pr/prv/psv/ps/wdtn/pqn/psn/pq): time of the first public presentation of a subject by the creator, of information by the media, point in time
6. 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
7. publisher, also known as video game publisher, software publisher, comic book publisher, sheet music publisher, publishing house (wd:P123 as pqv/wdt/p/prn/pr/prv/psv/ps/wdtn/pqn/psn/pq): organization or person responsible for publishing books, periodicals, printed music, podcasts, games or software
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. publication interval, also known as frequency of publication, interval of publication, publication cycle, publication frequency, update frequency (wd:P2896 as pqv/wdt/p/prn/pr/prv/psv/ps/wdtn/pqn/psn/pq): standard publication interval for daily or periodical publications, event interval
10. platform, also known as computing platform, runtime, published on, platforms, hardware (wd:P400 as pqv/wdt/p/prn/pr/prv/psv/ps/wdtn/pqn/psn/pq): platform for which a work was developed or released, or the specific platform version of a software product

[Assistant]
The property for "publication date" is wd:P577.

Now, let's search for "place of publication".

[Tool]
Top 10 property alternatives:
1. 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
2. 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
3. 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
4. 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
5. publisher, also known as video game publisher, software publisher, comic book publisher, sheet music publisher, publishing house (wd:P123 as pqv/wdt/p/prn/pr/prv/psv/ps/wdtn/pqn/psn/pq): organization or person responsible for publishing books, periodicals, printed music, podcasts, games or software
6. announcement date, also known as released, date teased, made public on, public announcement date, published (wd:P6949 as pqv/wdt/p/prn/pr/prv/psv/ps/wdtn/pqn/psn/pq): time of the first public presentation of a subject by the creator, of information by the media, point in time
7. platform, also known as computing platform, runtime, published on, platforms, hardware (wd:P400 as pqv/wdt/p/prn/pr/prv/psv/ps/wdtn/pqn/psn/pq): platform for which a work was developed or released, or the specific platform version of a software product
8. 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
9. issuing agent of work, also known as work issued by, organ of, official publication of, official organ of, official journal of (wd:P9901 as pqv/wdt/p/prn/pr/prv/psv/ps/wdtn/pqn/psn/pq): organization, agency, or other entity responsible for issuing a ...f the entity; distinct from commercial publisher of the resource
10. introduced in, also known as added in, introduced by, first published in, first appeared in (wd:P10695 as pqv/wdt/p/prn/pr/prv/psv/ps/wdtn/pqn/psn/pq): work that introduced this concept

[Assistant]
The property for "place of publication" is wd:P291.

Now, let's summarize the properties and entities:
- "Detective Conan" manga series: wd:Q3853685
- manga chapter: wd:Q53460949
- part of series: wdt:P179
- Japanese title: wdt:P1705
- volume: wdt:P478
- series ordinal: wdt:P1545
- publication date: wdt:P577
- place of publication: wdt:P291

Let's construct a SPARQL query to find all items that:
- are instances of manga chapter (wd:Q53460949)
- are part of the "Detective Conan" series (wd:Q3853685)
- and retrieve the requested properties, using OPTIONAL for those that may not be present.

I will now write and execute the query.

[Tool]
Got 7 rows and 7 columns:
| chapter                                        | chapterLabel                        | japaneseTitle | volume | seriesOrdinal | publicationDate                     | placeOfPublication |
| ---------------------------------------------- | ----------------------------------- | ------------- | ------ | ------------- | ----------------------------------- | ------------------ |
| A Chance Meeting (wd:Q131383795)               | A Chance Meeting (en)               |               |        |               | 2024-11-20T00:00:00Z (xsd:dateTime) |                    |
| Cutting the Gordian Knot (wd:Q131383796)       | Cutting the Gordian Knot (en)       |               |        |               | 2024-11-27T00:00:00Z (xsd:dateTime) |                    |
| A Once-in-a-Lifetime Encounter (wd:Q131383797) | A Once-in-a-Lifetime Encounter (en) |               |        |               | 2024-12-04T00:00:00Z (xsd:dateTime) |                    |
| The Sacred Light of the Dead (wd:Q132175258)   | The Sacred Light of the Dead (en)   |               |        |               |                                     |                    |
| The Fire Burns Again (wd:Q132175259)           | The Fire Burns Again (en)           |               |        |               |                                     |                    |
| Sifting Through the Ashes (wd:Q132175260)      | Sifting Through the Ashes (en)      |               |        |               |                                     |                    |
| The Entrusted Proof (wd:Q132175261)            | The Entrusted Proof (en)            |               |        |               |                                     |                    |

[Assistant]
Here are the manga chapters that are part of the "Detective Conan" series found in Wikidata, along with the requested information (where available):

- A Chance Meeting (wd:Q131383795)
  - Japanese title: (not available)
  - Volume: (not available)
  - Series ordinal: (not available)
  - Publication date: 2024-11-20
  - Place of publication: (not available)

- Cutting the Gordian Knot (wd:Q131383796)
  - Japanese title: (not available)
  - Volume: (not available)
  - Series ordinal: (not available)
  - Publication date: 2024-11-27
  - Place of publication: (not available)

- A Once-in-a-Lifetime Encounter (wd:Q131383797)
  - Japanese title: (not available)
  - Volume: (not available)
  - Series ordinal: (not available)
  - Publication date: 2024-12-04
  - Place of publication: (not available)

- The Sacred Light of the Dead (wd:Q132175258)
  - Japanese title: (not available)
  - Volume: (not available)
  - Series ordinal: (not available)
  - Publication date: (not available)
  - Place of publication: (not available)

- The Fire Burns Again (wd:Q132175259)
  - Japanese title: (not available)
  - Volume: (not available)
  - Series ordinal: (not available)
  - Publication date: (not available)
  - Place of publication: (not available)

- Sifting Through the Ashes (wd:Q132175260)
  - Japanese title: (not available)
  - Volume: (not available)
  - Series ordinal: (not available)
  - Publication date: (not available)
  - Place of publication: (not available)

- The Entrusted Proof (wd:Q132175261)
  - Japanese title: (not available)
  - Volume: (not available)
  - Series ordinal: (not available)
  - Publication date: (not available)
  - Place of publication: (not available)

Here is the SPARQL query used:

```sparql
SELECT ?chapter ?chapterLabel ?japaneseTitle ?volume ?seriesOrdinal ?publicationDate ?placeOfPublication WHERE {
  ?chapter wdt:P31 wd:Q53460949 ;
           wdt:P179 wd:Q3853685 .
  OPTIONAL { ?chapter wdt:P1705 ?japaneseTitle }
  OPTIONAL { ?chapter wdt:P478 ?volume }
  OPTIONAL { ?chapter wdt:P1545 ?seriesOrdinal }
  OPTIONAL { ?chapter wdt:P577 ?publicationDate }
  OPTIONAL { ?chapter wdt:P291 ?placeOfPublication }
  OPTIONAL { ?chapter rdfs:label ?chapterLabel FILTER (LANG(?chapterLabel) = "en") }
}
```

If you need more details or want to explore other properties, let me know!

[Tool] Stopped generation process

[User]
Feedback (status=done):
The SPARQL query correctly retrieves all manga chapters that are part of the "Detective Conan" series, returning their IRIs and, where available, the requested properties: Japanese title, volume, series ordinal, publication date, and place of publication. The query uses OPTIONAL clauses for these properties, as their availability varies. The answer accurately reflects the data found in Wikidata and adheres to the requirements for returning IRIs and not using non-standard SPARQL features. No further refinement is necessary.