PREFIX wd: <http://www.wikidata.org/entity/>
PREFIX wdt: <http://www.wikidata.org/prop/direct/>
PREFIX rdfs: <http://www.w3.org/2000/01/rdf-schema#>
SELECT DISTINCT ?item WHERE {
  {
    ?item wdt:P403 wd:Q2155719 .
  } UNION {
    ?river wdt:P403 wd:Q2155719 .
    ?river wdt:P974 ?item .
  }
  OPTIONAL {
    ?item rdfs:label ?itemLabel FILTER ( LANG( ?itemLabel ) = "en" )
  }
}

Got 9 rows and 1 column:
| item                                        |
| ------------------------------------------- |
| Rivière Achepabanca (wd:Q22402791)          |
| Rivière Achepabanca Nord-Est (wd:Q22402807) |
| Rivière Assup (wd:Q22403780)                |
| Rivière Attic (wd:Q22403929)                |
| Rivière Capousacataca (wd:Q22410355)        |
| Rivière Collin (wd:Q22411694)               |
| Rivière Kekek (wd:Q22424844)                |
| Rivière Tavernier (wd:Q22438550)            |
| Rivière Whitegoose (wd:Q22440754)           |

This query returns the distinct items that either have the Rivière Mégiscane as their mouth of the watercourse or are tributaries of watercourses that have the Rivière Mégiscane as their mouth of the watercourse.

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

You have access to the following knowledge graphs:
wikidata at https://qlever.cs.uni-freiburg.de/api/wikidata

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

You should follow a step-by-step approach to generate the SPARQL query:
1. Determine possible entities and properties implied by the user question.
2. Use the functions to search for entities and properties in the knowledge graphs. Where applicable, constrain the searches with already identified entities and properties.
3. Gradually build up the SPARQL query using the identified entities and properties. Start with simple queries and add more complexity as needed. Use the execute function to get feedback on intermediate queries. You can go back and forth between knowledge graph searches and SPARQL query executions to refine the query.
4. Use the answer or cancel function to finalize your answer and stop the generation process.

Additional rules:
1. Explain your thought process before and after each step and function call.
2. Do not assume or make up any entities or properties without verifying them with the knowledge graphs and functions.
3. The SPARQL query should always return the actual identifiers / IRIs of the items in its result. It additionally may return labels or other human-readable information, but they are optional and should be put within optional clauses unless explicitly requested by the user.
4. Do not stop early if there are still obvious improvements to be made to the SPARQL query. For example, keep refining your SPARQL query if its result contains irrelevant items or is missing items you expected.
5. Do not perform additional computation (e.g. filtering, sorting, calculations) on the result of the SPARQL query to determine the answer. All computation should be done solely within SPARQL.
6. For questions with a "True" or "False" answer the SPARQL query should be an ASK query.
7. Do not use 'SERVICE wikibase:label { bd:serviceParam wikibase:language ...' in SPARQL queries. It is not SPARQL standard and unsupported by the used QLever SPARQL endpoints. Use rdfs:label or similar properties to get labels instead.

[User] What are the distinct items that either have the Rivière Mégiscane as their mouth of the watercourse or are tributaries of watercourses that have the Rivière Mégiscane as their mouth of the watercourse?

[Assistant]
Let's break down the question:

1. We need to find items that have the Rivière Mégiscane as their "mouth of the watercourse".
2. We also need to find items that are tributaries of watercourses that themselves have the Rivière Mégiscane as their mouth.

First, let's identify the entity for "Rivière Mégiscane" and the relevant properties:
- "mouth of the watercourse" is likely a property (possibly "mouth of the river").
- "tributary" is also likely a property.

Let's start by searching for the entity "Rivière Mégiscane".

[Tool]
Top 10 entity alternatives:
1. Rivière Mégiscane (wd:Q2155719): watercourse in Quebec, Canada
2. Rivière (wd:Q1023491): commune in Pas-de-Calais, France
3. Rivière (wd:Q1170903): commune in Indre-et-Loire, France
4. Auguste Rivière, also known as Rivière, Marie Auguste Riviere (birthname), Riviere (wd:Q5851435): French horticulturalist (1821-1877), horticulturist, agronomist, botanist
5. Rivière, also known as Riviere (wd:Q3071663): section of Profondeville, Belgium
6. William Riviere, also known as William Rivière, Rivière (wd:Q18577229): English drawing-master, draftsperson, painter
7. Rivière (wd:Q112340485): Type of necklace, type of necklace
8. rivière (wd:Q112340485): type of necklace, Type of necklace
9. Rivière (wd:Q131680870)
10. Riviere (wd:Q37055601): family name

[Assistant]
The entity for Rivière Mégiscane is wd:Q2155719.

Next, let's identify the property for "mouth of the watercourse". I'll search for properties related to "mouth of the watercourse".

[Tool]
Top 10 property alternatives:
1. mouth of the watercourse, also known as flows into, watercourse outflow, watercourse ends in, watercourse drain, tributary of (wd:P403 as wdt/psv/psn/prn/pqv/ps/p/prv/pr/wdtn/pq/pqn): the body of water to which the watercourse drains
2. origin of the watercourse, also known as headwaters, water source, water origin, water body origin, stream source (wd:P885 as wdt/psv/psn/prn/pqv/ps/p/prv/pr/wdtn/pq/pqn): main source of a river, stream or lake
3. located in or next to body of water, also known as located on body of water, ocean, on bay, next to lake, on coast of (wd:P206 as wdt/psv/psn/prn/pqv/ps/p/prv/pr/wdtn/pq/pqn): body of water on or next to which a place is located, location
4. tributary, also known as has inflow of, affluent, receives tributary, receives river, has river inflow (wd:P974 as wdt/psv/psn/prn/pqv/ps/p/prv/pr/wdtn/pq/pqn): watercourse that flows into an other one (for lake inflows use P200)
5. distance from river mouth, also known as river kilometer, river mile, river kilometre (wd:P2148 as wdt/psv/psn/prn/pqv/ps/p/prv/pr/wdtn/pq/pqn): qualifier for P974 statements on streams, length
6. inflows, also known as inflow, lake inflow, river inflows (wd:P200 as wdt/psv/psn/prn/pqv/ps/p/prv/pr/wdtn/pq/pqn): major inflow sources — rivers, aquifers, glacial runoff, etc. Some terms may not be place names, e.g. none
7. lake on watercourse, also known as reservoir on this river, lakes on river, lake on stream, lake on river, lake on this river (wd:P469 as wdt/psv/psn/prn/pqv/ps/p/prv/pr/wdtn/pq/pqn): lake or reservoir through which the river or stream flows
8. tributary orientation, also known as orientation of tributary (wd:P3871 as wdt/psv/psn/prn/pqv/ps/p/prv/pr/wdtn/pq/pqn): specify if the stream confluence is a left bank or right bank tributary
9. route map, also known as schema, street map, railway map, subway map, transit map (wd:P15 as wdt/psv/psn/prn/pqv/ps/p/prv/pr/wdtn/pq/pqn): image of route map at Wikimedia Commons, locator map image
10. next crossing downstream, also known as downstream crossing adjacent (wd:P2674 as wdt/psv/psn/prn/pqv/ps/p/prv/pr/wdtn/pq/pqn): next crossing of this river, canal, etc. downstream of this subject, followed by

[Assistant]
The relevant properties are:
- "mouth of the watercourse" (wd:P403): the body of water to which the watercourse drains.
- "tributary" (wd:P974): watercourse that flows into another one.

So, we need:
1. All items where wdt:P403 is wd:Q2155719 (Rivière Mégiscane).
2. All items that are tributaries (wdt:P974) of watercourses that themselves have wdt:P403 wd:Q2155719.

Let's first check the structure of triples for these properties to ensure we use them correctly. I'll list some examples for each property.

[Tool]
Got 65,536 rows and 3 columns, showing the first 10 rows below:
| subject                               | property                            | object                       |
| ------------------------------------- | ----------------------------------- | ---------------------------- |
| Yantra (wd:Q217126)                   | mouth of the watercourse (wdt:P403) | Bulgaria (wd:Q219)           |
| Luwaihidh Wadi (wd:Q109257090)        | mouth of the watercourse (wdt:P403) | Iraq (wd:Q796)               |
| Estero Casa de Piedra (wd:Q101003053) | mouth of the watercourse (wdt:P403) | Pacific Ocean (wd:Q98)       |
| Larbaa River (wd:Q100455857)          | mouth of the watercourse (wdt:P403) | Mediterranean Sea (wd:Q4918) |
| wd:Q10268910                          | mouth of the watercourse (wdt:P403) | Atlantic Ocean (wd:Q97)      |
| Buffalo River (wd:Q1002068)           | mouth of the watercourse (wdt:P403) | Indian Ocean (wd:Q1239)      |
| Wadi Hammamat (wd:Q1479250)           | mouth of the watercourse (wdt:P403) | Nile (wd:Q3392)              |
| Kodori River (wd:Q1048890)            | mouth of the watercourse (wdt:P403) | Black Sea (wd:Q166)          |
| Pinguk River (wd:Q14680191)           | mouth of the watercourse (wdt:P403) | Arctic Ocean (wd:Q788)       |
| Arabela River (wd:Q11202006)          | mouth of the watercourse (wdt:P403) | Amazon (wd:Q3783)            |
| ...                                   | ...                                 | ...                          |

[Tool]
Got 65,536 rows and 3 columns, showing the first 10 rows below:
| subject                      | property             | object                        |
| ---------------------------- | -------------------- | ----------------------------- |
| Nile (wd:Q3392)              | tributary (wdt:P974) | White Nile (wd:Q4814791)      |
| Amazon (wd:Q3783)            | tributary (wdt:P974) | Arabela River (wd:Q11202006)  |
| Danube (wd:Q1653)            | tributary (wdt:P974) | Erlau (wd:Q1000881)           |
| Mississippi River (wd:Q1497) | tributary (wdt:P974) | Big Black River (wd:Q1042217) |
| Ganges (wd:Q5089)            | tributary (wdt:P974) | Yamuna (wd:Q132726)           |
| Yangtze (wd:Q5413)           | tributary (wdt:P974) | Jinsha River (wd:Q1038418)    |
| Congo (wd:Q3503)             | tributary (wdt:P974) | Lukuga River (wd:Q128350)     |
| Niger River (wd:Q3542)       | tributary (wdt:P974) | Béli River (wd:Q1019445)      |
| Shatt al-Arab (wd:Q166966)   | tributary (wdt:P974) | Euphrates (wd:Q34589)         |
| Dnieper (wd:Q40855)          | tributary (wdt:P974) | Samara River (wd:Q1047677)    |
| ...                          | ...                  | ...                           |

[Assistant]
The structure is as follows:
- For "mouth of the watercourse" (wdt:P403): [river] wdt:P403 [mouth]
- For "tributary" (wdt:P974): [main river] wdt:P974 [tributary river]

So, to find all items that are tributaries of watercourses that have Rivière Mégiscane as their mouth, we need:
- [some river] wdt:P403 wd:Q2155719
- [some river] wdt:P974 [tributary river]

Now, let's build a SPARQL query that returns the distinct items that either:
1. Have Rivière Mégiscane as their mouth (i.e., ?item wdt:P403 wd:Q2155719)
2. Are tributaries of watercourses that have Rivière Mégiscane as their mouth (i.e., ?river wdt:P403 wd:Q2155719 . ?river wdt:P974 ?item)

We'll use UNION to combine these two sets, and SELECT DISTINCT to avoid duplicates. I'll also add optional labels for human readability.

Here is the SPARQL query:

[Tool] Stopped generation process


PREFIX wd: <http://www.wikidata.org/entity/>
PREFIX wdt: <http://www.wikidata.org/prop/direct/>
SELECT ?star ?mag WHERE {
  ?star wdt:P31 wd:Q523 .
  ?star wdt:P59 wd:Q10578 .
  ?star wdt:P1215 ?mag .
  FILTER ( ?mag < 6 )
}
ORDER BY ?mag
LIMIT 10

Here are 10 stars in the Hydra constellation with an apparent magnitude less than 6, ordered by ascending apparent magnitude (some stars have multiple magnitude entries):

1. wd:Q10847397 – 3.231
2. wd:Q10847397 – 3.287
3. Epsilon Hydrae (wd:Q1028788) – 3.38
4. Theta Hydrae (wd:Q1029146) – 3.455
5. wd:Q77536727 – 3.515
6. Lambda Hydrae (wd:Q1028353) – 3.61
7. wd:Q86041518 – 3.76
8. Theta Hydrae (wd:Q1029146) – 3.82
9. wd:Q77536727 – 3.825
10. Theta Hydrae (wd:Q1029146) – 3.88135

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

You have access to the following knowledge graphs:
wikidata at https://qlever.cs.uni-freiburg.de/api/wikidata

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

You should follow a step-by-step approach to generate the SPARQL query:
1. Determine possible entities and properties implied by the user question.
2. Use the functions to search for entities and properties in the knowledge graphs. Where applicable, constrain the searches with already identified entities and properties.
3. Gradually build up the SPARQL query using the identified entities and properties. Start with simple queries and add more complexity as needed. Use the execute function to get feedback on intermediate queries. You can go back and forth between knowledge graph searches and SPARQL query executions to refine the query.
4. Use the answer or cancel function to finalize your answer and stop the generation process.

Additional rules:
1. Explain your thought process before and after each step and function call.
2. Do not assume or make up any entities or properties without verifying them with the knowledge graphs and functions.
3. The SPARQL query should always return the actual identifiers / IRIs of the items in its result. It additionally may return labels or other human-readable information, but they are optional and should be put within optional clauses unless explicitly requested by the user.
4. Do not stop early if there are still obvious improvements to be made to the SPARQL query. For example, keep refining your SPARQL query if its result contains irrelevant items or is missing items you expected.
5. Do not perform additional computation (e.g. filtering, sorting, calculations) on the result of the SPARQL query to determine the answer. All computation should be done solely within SPARQL.
6. For questions with a "True" or "False" answer the SPARQL query should be an ASK query.
7. Do not use 'SERVICE wikibase:label { bd:serviceParam wikibase:language ...' in SPARQL queries. It is not SPARQL standard and unsupported by the used QLever SPARQL endpoints. Use rdfs:label or similar properties to get labels instead.

[User] What are the stars in the Hydra constellation with an apparent magnitude less than 6? Include their apparent magnitudes if available, and order the results by ascending apparent magnitude, and limit to 10 results.

[Assistant]
Let's break down the question:

1. We need to find stars (entities that are stars).
2. These stars must be located in the Hydra constellation.
3. Their apparent magnitude must be less than 6.
4. We want to include their apparent magnitudes if available.
5. Results should be ordered by ascending apparent magnitude.
6. Limit the results to 10.

Step 1: Identify the entity for the Hydra constellation.
Step 2: Identify the property that links a star to its constellation.
Step 3: Identify the property for apparent magnitude.
Step 4: Identify the class for "star".

Let's start by searching for the Hydra constellation entity.

[Tool]
Top 10 entity alternatives:
1. constellation (wd:Q8928): image on the celestial sphere consisting of stars according to any current of historical system or description
2. Hydra, also known as Hya, Hydrae (wd:Q10578): constellation straddling the celestial equator
3. Hydra, also known as Lernaean Hydra, Lernæan Hydra, Lernean Hydra, The Lernean Hydra (wd:Q170379): ancient serpent-like chthonic water monster, with reptilian traits, that possessed many heads, in Greek mythology
4. Hydra, also known as (134340) Pluto III, S/2005 P 1, Pluto III (wd:Q102701): outermost known natural satellite of Pluto
5. Hydra (wd:Q192290): genus of cnidarians
6. Hydra, also known as Hydra Island (wd:Q208319): one of the Saronic Islands of Greece
7. Constellation, also known as Lockheed Constellation, Lockheed L-049 Constellation, Connie (wd:Q677122): 1943 airliner family
8. Hydra, also known as Marvel Hydra (wd:Q3052324): fictional supervillain organization
9. Hydra (wd:Q1756327): studio album by American rock band Toto
10. Hydra, also known as Ḥaydarah (wd:Q1010749): commune in Algiers Province, Algeria

[Assistant]
The correct entity for the Hydra constellation is wd:Q10578.

Next, let's identify the property that links a star to its constellation. I'll search for properties related to "constellation".

[Tool]
Top 10 property alternatives:
1. constellation, also known as part of constellation (wd:P59 as wdt/psv/psn/prn/pqv/ps/p/prv/pr/wdtn/pq/pqn): the area of the celestial sphere of which the subject is a part (from a scientific standpoint, not an astrological one), part of
2. astronomic symbol image, also known as planetary symbol image, planetary symbol, astronomic symbol, astronomical symbol image, astronomical symbol (wd:P367 as wdt/psv/psn/prn/pqv/ps/p/prv/pr/wdtn/pq/pqn): image of the symbol that identify a planet or an asteroid of the solar system, icon
3. located on astronomical body, also known as on astronomical body, on astronomical location (wd:P376 as wdt/psv/psn/prn/pqv/ps/p/prv/pr/wdtn/pq/pqn): single astronomical body on which features or places are situated
4. companion of, also known as has astronomical companion, has companion, companion, astronomic companion of, astronomic companion (wd:P399 as wdt/psv/psn/prn/pqv/ps/p/prv/pr/wdtn/pq/pqn): two or more astronomic bodies of the same type relating to each other
5. catalog code, also known as astronomical catalog, registration number, register, identifier in catalog, enrollment number (wd:P528 as wdt/psv/psn/prn/pqv/ps/p/prv/pr/wdtn/pq/pqn): catalog name of an object, use with qualifier P972
6. number of likes, also known as post likes, post reaction count, post reactions, post upvote count, post upvotes (wd:P10649 as wdt/psv/psn/prn/pqv/ps/p/prv/pr/wdtn/pq/pqn): number of likes, favorites, stars, upvotes, or reactions received on a social media post or profile
7. parent astronomical body, also known as star, primary, parent body, orbits, planetary system (wd:P397 as wdt/psv/psn/prn/pqv/ps/p/prv/pr/wdtn/pq/pqn): major astronomical body the item belongs to
8. age estimated by a dating method, also known as stellar age, geological age, dating (wd:P7584 as wdt/psv/psn/prn/pqv/ps/p/prv/pr/wdtn/pq/pqn): estimation of the age of a star, geological feature, fossil or object
9. stellar rotational velocity, also known as rotational velocity, v sin i, vsini (wd:P4296 as wdt/psv/psn/prn/pqv/ps/p/prv/pr/wdtn/pq/pqn): measured parameter for stars
10. child astronomical body, also known as child body, secondary, satellite, orbited by, has planet (wd:P398 as wdt/psv/psn/prn/pqv/ps/p/prv/pr/wdtn/pq/pqn): minor body that belongs to the item

[Assistant]
The property that links a star to its constellation is "constellation" (wd:P59).

Next, let's identify the property for apparent magnitude. I'll search for properties related to "apparent magnitude".

[Tool]
Top 10 property alternatives:
1. apparent magnitude (wd:P1215 as wdt/psv/psn/prn/pqv/ps/p/prv/pr/wdtn/pq/pqn): measurement of the brightness of an astronomic object, as seen from the Earth
2. absolute magnitude, also known as oke oke nke ihe mbara igwe (wd:P1457 as wdt/psv/psn/prn/pqv/ps/p/prv/pr/wdtn/pq/pqn): absolute magnitude of an astronomic object
3. earthquake magnitude on the Richter magnitude scale, also known as earthquake magnitude, magnitude, magnitude of an earthquake, ML, Richter scale value (wd:P2528 as wdt/psv/psn/prn/pqv/ps/p/prv/pr/wdtn/pq/pqn): magnitude of an earthquake according to the Richter magnitude scale
4. earthquake magnitude on the moment magnitude scale, also known as magnitude of an earthquake, Mw, moment magnitude scale value, magnitude, earthquake magnitude (wd:P2527 as wdt/psv/psn/prn/pqv/ps/p/prv/pr/wdtn/pq/pqn): magnitude of an earthquake according to the moment magnitude scale
5. angular diameter, also known as apparent size, angular size, apparent diameter (wd:P5348 as wdt/psv/psn/prn/pqv/ps/p/prv/pr/wdtn/pq/pqn): angular measurement describing how large a sphere or circle appears from a given point of view
6. JMA Magnitude (wd:P5900 as wdt/psv/psn/prn/pqv/ps/p/prv/pr/wdtn/pq/pqn): magnitude of an earthquake according to Japan Meteorological Agency
7. measured physical quantity, also known as measure of, measures, physical quantity, quantity (wd:P111 as wdt/psv/psn/prn/pqv/ps/p/prv/pr/wdtn/pq/pqn): value of a physical property expressed as number multiplied by a unit
8. refractive index, also known as index of refraction, IOR (wd:P1109 as wdt/psv/psn/prn/pqv/ps/p/prv/pr/wdtn/pq/pqn): refractive index of a substance with wavelength and temperature as qualifiers
9. magnification (wd:P4163 as wdt/psv/psn/prn/pqv/ps/p/prv/pr/wdtn/pq/pqn): amount of optical magnification provided
10. speed of sound, also known as sound speed (wd:P2075 as wdt/psv/psn/prn/pqv/ps/p/prv/pr/wdtn/pq/pqn): speed of sound waves in a material. Use qualifiers to specify the measurement conditions.

[Assistant]
The property for apparent magnitude is wd:P1215.

Now, let's identify the class for "star" to ensure we only select stars. I'll search for the entity "star".

[Tool]
Top 10 entity alternatives:
1. star, also known as celestial star, celestial stars, stars, the stars (wd:Q523): astronomical object consisting of a luminous spheroid of plasma held together by its own gravity
2. star, also known as celestial star, celestial stars, stars, the stars (wd:Q523): astronomical object consisting of a luminous spheroid of plasma held together by its own gravity
3. asterisk, also known as U+002A, star, *, ASTERISK (wd:Q190212): typographical symbol or glyph (U+002A)
4. Star, also known as Star, Idaho, Star, ID (wd:Q1516815): city in Ada County, Idaho, United States
5. The Star, also known as Star (wd:Q28173261): 2017 film directed by Timothy Reckart
6. Star, also known as Star, North Carolina, Star, NC (wd:Q2026696): town in North Carolina, United States
7. Star (wd:Q381936): international racing sailing class
8. The Star, also known as Star, "The Star" (wd:Q2493669): 2002 film by Nikolai Lebedev
9. The Star, also known as Star (wd:Q1870585): 1952 film by Stuart Heisler
10. star graph, also known as star, star in graph theory (wd:Q2589168): node-link graph in which one central node is the only neighbor of all the other nodes

[Assistant]
The correct entity for "star" as an astronomical object is wd:Q523.

Now, I have all the necessary components:
- Class: star (wd:Q523)
- Constellation: Hydra (wd:Q10578)
- Property for constellation: wdt:P59
- Property for apparent magnitude: wdt:P1215

Next, I'll construct a SPARQL query to:
- Select stars (wd:Q523) in the Hydra constellation (wd:Q10578)
- With apparent magnitude (wdt:P1215) less than 6
- Return their IRIs and apparent magnitudes (if available)
- Order by ascending apparent magnitude
- Limit to 10 results

Let's build and execute the query.

[Tool]
Got 10 rows and 2 columns:
| star                         | mag                   |
| ---------------------------- | --------------------- |
| wd:Q10847397                 | 3.231 (xsd:decimal)   |
| wd:Q10847397                 | 3.287 (xsd:decimal)   |
| Epsilon Hydrae (wd:Q1028788) | 3.38 (xsd:decimal)    |
| Theta Hydrae (wd:Q1029146)   | 3.455 (xsd:decimal)   |
| wd:Q77536727                 | 3.515 (xsd:decimal)   |
| Lambda Hydrae (wd:Q1028353)  | 3.61 (xsd:decimal)    |
| wd:Q86041518                 | 3.76 (xsd:decimal)    |
| Theta Hydrae (wd:Q1029146)   | 3.82 (xsd:decimal)    |
| wd:Q77536727                 | 3.825 (xsd:decimal)   |
| Theta Hydrae (wd:Q1029146)   | 3.88135 (xsd:decimal) |

[Tool] Stopped generation process


PREFIX ps: <http://www.wikidata.org/prop/statement/>
PREFIX pq: <http://www.wikidata.org/prop/qualifier/>
PREFIX p: <http://www.wikidata.org/prop/>
PREFIX rdfs: <http://www.w3.org/2000/01/rdf-schema#>
PREFIX wd: <http://www.wikidata.org/entity/>
PREFIX wikibase: <http://wikiba.se/ontology#>
SELECT ?recipient ?startTime ?endTime ?pointInTime ?recipientLabel WHERE {
  ?statement ps:P166 wd:Q190042 ; wikibase:rank ?rank .
  ?recipient p:P166 ?statement .
  OPTIONAL {
    ?statement pq:P580 ?startTime .
  }
  OPTIONAL {
    ?statement pq:P582 ?endTime .
  }
  OPTIONAL {
    ?statement pq:P585 ?pointInTime .
  }
  OPTIONAL {
    ?recipient rdfs:label ?recipientLabel .
    FILTER ( LANG( ?recipientLabel ) = "en" )
  }
}

This query returns all recipients of the World Chess Championship award, including any available start times, end times, and point in time qualifiers for the award.

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

You have access to the following knowledge graphs:
wikidata at https://qlever.cs.uni-freiburg.de/api/wikidata-sebastian

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

You should follow a step-by-step approach to generate the SPARQL query:
1. Determine possible entities and properties implied by the user question.
2. Use the functions to search for entities and properties in the knowledge graphs. Where applicable, constrain the searches with already identified entities and properties.
3. Gradually build up the SPARQL query using the identified entities and properties. Start with simple queries and add more complexity as needed. Use the execute function to get feedback on intermediate queries. You can go back and forth between knowledge graph searches and SPARQL query executions to refine the query.
4. Use the answer or cancel function to finalize your answer and stop the generation process.

Additional rules:
1. Explain your thought process before and after each step and function call.
2. Do not assume or make up any entities or properties without verifying them with the knowledge graphs and functions.
3. The SPARQL query should always return the actual identifiers / IRIs of the items in its result. It additionally may return labels or other human-readable information, but they are optional and should be put within optional clauses unless explicitly requested by the user.
4. Do not stop early if there are still obvious improvements to be made to the SPARQL query. For example, keep refining your SPARQL query if its result contains irrelevant items or is missing items you expected.
5. Do not perform additional computation (e.g. filtering, sorting, calculations) on the result of the SPARQL query to determine the answer. All computation should be done solely within SPARQL.
6. For questions with a "True" or "False" answer the SPARQL query should be an ASK query.
7. Do not use 'SERVICE wikibase:label { bd:serviceParam wikibase:language ...' in SPARQL queries. It is not SPARQL standard and unsupported by the used QLever SPARQL endpoints. Use rdfs:label or similar properties to get labels instead.

[User] Who has received the World Chess Championship award, including start times (if available) and end times of the award (if available)?

[Assistant]
Let's break down the question:

1. We need to identify the "World Chess Championship award" entity in Wikidata.
2. We need to find people who have received this award.
3. For each recipient, we want to include the start and end times of the award, if available.

First, I will search for the "World Chess Championship" entity in Wikidata to ensure we have the correct identifier for the award.

[Tool]
Top 10 entity alternatives:
1. World Chess Championship, also known as WCC (wd:Q190042): chess competition played to determine the World Champion in chess
2. Women's World Chess Championship (wd:Q1138456): women's chess competition
3. World Chess Championship 2013 (wd:Q917629): chess championship held in Chennai
4. World Chess Championship 2018 (wd:Q27956034): world chess championship match
5. World Chess Championship 2014 (wd:Q8035503): world chess championship match
6. World Chess Championship 2021 (wd:Q65091338): world chess championship match
7. World Chess Championship 2016 (wd:Q18342495): world chess championship match
8. World Chess Championship 1972 (wd:Q596416): 1972 chess match in Reykjavík, Iceland for the World Chess Champ... Bobby Fischer (USA) and defending champion Boris Spassky (USSR)
9. World Chess Championship 2023 (wd:Q107143709): chess championship match
10. World Chess Championship 2024 (wd:Q118112582): chess championship match

[Assistant]
The main entity for the "World Chess Championship" is wd:Q190042, which refers to the overall chess competition to determine the World Champion in chess.

Next, I need to determine how recipients of this championship are modeled in Wikidata. Typically, this could be via a property like "award received" or a specific property for "winner" or "champion." I will search for properties related to "award received" and "winner" to see which is used for this entity.

[Tool]
Top 10 property alternatives:
1. image, also known as still capture, still, screenshot, screen capture, portrait (wd:P18 as p/wdt): image of relevant illustration of the subject; if available, als...tor map, flag image, signature image, logo image, collage image)
2. sport, also known as play, plays, sport played, sports (wd:P641 as p/wdt): sport that the subject participates or participated in or is associated with
3. topic's main category, also known as article's main category, category, category for this topic, catmain, has category (wd:P910 as p/wdt): main Wikimedia category
4. Freebase ID, also known as Freebase, MID, Freebase identifier, FID (wd:P646 as p/wdt): identifier for a page in the Freebase database. Format: "/m/0" f...r IDs starting with "/g/", use Google Knowledge Graph ID (P2671)
5. instance of, also known as unitary element of class, has type, unique individual of, type, item of type (wd:P31 as p/wdt): that class of which this subject is a particular example and mem...is a subclass of mountain (and an instance of volcanic landform)
6. subclass of, also known as rdfs:subClassOf, sort of, subcategory of, subgenre of, subtype of (wd:P279 as p/wdt): this item is a subclass (subset) of that item; ALL instances of ...stance of volcanic landform); Everest is an instance of mountain
7. different from, also known as not to be confused with, to be distinguished from, similar to, see also, rejected match (wd:P1889 as p/wdt): item that is different from another item, with which it may be confused
8. Commons category, also known as category on Wikimedia Commons, Wikimedia Commons category, Wikimedia Commons cat, Commons cat, commonscat (wd:P373 as p/wdt): name of the Wikimedia Commons category containing files related to this item (without the prefix "Category:")
9. NL CR AUT ID, also known as Czech National Authority Database, NLCR AUT ID (wd:P691 as p/wdt): identifier in the Czech National Authority Database of National Library of the Czech Republic (NL CR)

No other items found

[Tool]
Top 10 property alternatives:
1. award received, also known as win, winner of, recognition title, received award, prize received (wd:P166 as psv/psn/ps/pq/p/pqv/pqn/prn/pr/prv/wdtn/wdt): award or recognition received by a person, organization or creative work
2. for work, also known as awarded for work, citation for award, for their work on, nominated for work (wd:P1686 as psv/psn/ps/pq/p/pqv/pqn/prn/pr/prv/wdtn/wdt): qualifier of award received (P166) to specify the work that an award was given to the creator for
3. winner, also known as nominee, prizewinner, titleholder, top dog, victor (wd:P1346 as psv/psn/ps/pq/p/pqv/pqn/prn/pr/prv/wdtn/wdt): winner of a competition or similar event, not to be used for awa...ssibly qualified with "for work" (P1686)) or for wars or battles, participating team, participant
4. conferred by, also known as presented by, officiated by, issued by, granted by, given by (wd:P1027 as psv/psn/ps/pq/p/pqv/pqn/prn/pr/prv/wdtn/wdt): person or organization who grants an award, certification, grant, or role
5. nominated for, also known as nominee for, shortlisted for, selected for award, selected for, nominee for award (wd:P1411 as psv/psn/ps/pq/p/pqv/pqn/prn/pr/prv/wdtn/wdt): award nomination received by a person, organisation or creative work (inspired from "award received" (Property:P166))
6. eligible recipient, also known as eligible recipient for award, type of recipient who is eligible for this award (wd:P8115 as psv/psn/ps/pq/p/pqv/pqn/prn/pr/prv/wdtn/wdt): party that is eligible to receive something, like an award, grant or prize
7. award rationale, also known as award citation, rationale, award reason (wd:P6208 as psv/psn/ps/pq/p/pqv/pqn/prn/pr/prv/wdtn/wdt): qualifier to add short citation explaining the official reason f... or add comments about a person's award. No quote marked needed.
8. trophy awarded, also known as cup awarded, diploma awarded, medal awarded (wd:P4622 as psv/psn/ps/pq/p/pqv/pqn/prn/pr/prv/wdtn/wdt): trophy awarded at the end of a selection process or of a competi...winners or finishers under the form of a cup, a medal, a diploma
9. nominee, also known as award nominee (wd:P2453 as psv/psn/ps/pq/p/pqv/pqn/prn/pr/prv/wdtn/wdt): qualifier used with “nominated for” to specify which person or organization was nominated
10. awarded for period (wd:P4566 as psv/psn/ps/pq/p/pqv/pqn/prn/pr/prv/wdtn/wdt): period during which the achievement must have been made to be eligible for an award

[Assistant]
The property "award received" (wd:P166) is used to indicate awards or recognitions received by a person. This is likely the property used to indicate that someone has received the "World Chess Championship" award.

To include start and end times, I should check if qualifiers such as "start time" (wd:P580) and "end time" (wd:P582) are used with the "award received" property.

I will now list some example triples where "award received" (wd:P166) is used, to confirm the structure and see if qualifiers for start and end times are present.

[Tool]
Got 65,536 rows and 3 columns, showing the first 10 rows below:
| subject                      | property                  | object                                                           |
| ---------------------------- | ------------------------- | ---------------------------------------------------------------- |
| United Nations (wd:Q1065)    | award received (wdt:P166) | Four Freedoms Award – Freedom Medal (wd:Q20203866)               |
| Julius Caesar (wd:Q1048)     | award received (wdt:P166) | Consecratio (wd:Q106648268)                                      |
| Mahatma Gandhi (wd:Q1001)    | award received (wdt:P166) | Time Person of the Year (wd:Q207826)                             |
| Charles Darwin (wd:Q1035)    | award received (wdt:P166) | Honorary Fellow of the Royal Society Te Apārangi (wd:Q125121451) |
| Hamburg (wd:Q1055)           | award received (wdt:P166) | Führerstadt (wd:Q1480914)                                        |
| Carl Linnaeus (wd:Q1043)     | award received (wdt:P166) | Knight of the Order of the Polar Star (wd:Q20900064)             |
| Jawaharlal Nehru (wd:Q1047)  | award received (wdt:P166) | Bharat Ratna (wd:Q322132)                                        |
| Edith Barnes (wd:Q107319547) | award received (wdt:P166) | writer (wd:Q36180)                                               |
| Go, Dog. Go! (wd:Q104750296) | award received (wdt:P166) | ACTRA Award (wd:Q4650859)                                        |
| Narendra Modi (wd:Q1058)     | award received (wdt:P166) | Order of St. Andrew the Apostle the First-Called (wd:Q1026769)   |
| ...                          | ...                       | ...                                                              |

[Tool]
Got 1 row and 3 columns:
| subject                      | property                  | object                                |
| ---------------------------- | ------------------------- | ------------------------------------- |
| Veselin Topalov (wd:Q172798) | award received (wdt:P166) | World Chess Championship (wd:Q190042) |

[Tool]
Got 605 rows and 3 columns, showing the first 10 rows below:
| subject                      | property                         | object                                                                     |
| ---------------------------- | -------------------------------- | -------------------------------------------------------------------------- |
| Veselin Topalov (wd:Q172798) | instance of (wdt:P31)            | human (wd:Q5)                                                              |
| Veselin Topalov (wd:Q172798) | occupation (wdt:P106)            | chess player (wd:Q10873124)                                                |
| Veselin Topalov (wd:Q172798) | sex or gender (wdt:P21)          | male (wd:Q6581097)                                                         |
| Veselin Topalov (wd:Q172798) | given name (wdt:P735)            | Veselin (wd:Q12749689)                                                     |
| Veselin Topalov (wd:Q172798) | date of birth (wdt:P569)         | 1975-03-15T00:00:00Z (xsd:dateTime)                                        |
| Veselin Topalov (wd:Q172798) | Commons category (wdt:P373)      | Veselin Topalov                                                            |
| Veselin Topalov (wd:Q172798) | image (wdt:P18)                  | <http://commons.wikimedia.org/wiki/Special:FilePath/VeselinTopalov12a.jpg> |
| Veselin Topalov (wd:Q172798) | country of citizenship (wdt:P27) | Bulgaria (wd:Q219)                                                         |
| Veselin Topalov (wd:Q172798) | family name (wdt:P734)           | Topalov (wd:Q56541094)                                                     |
| Veselin Topalov (wd:Q172798) | place of birth (wdt:P19)         | Ruse (wd:Q160173)                                                          |
| ...                          | ...                              | ...                                                                        |

[Tool]
Got 2 rows and 3 columns:
| subject                      | property                | object                                         |
| ---------------------------- | ----------------------- | ---------------------------------------------- |
| Veselin Topalov (wd:Q172798) | award received (p:P166) | s:Q172798-79075b05-4bb9-f61b-73ea-946241f4a0e8 |
| Veselin Topalov (wd:Q172798) | award received (p:P166) | s:Q172798-ebafba90-4b44-a52b-551d-b8a4632b2477 |

[Tool]
Got 6 rows and 3 columns:
| subject                                        | property                 | object                              |
| ---------------------------------------------- | ------------------------ | ----------------------------------- |
| s:Q172798-79075b05-4bb9-f61b-73ea-946241f4a0e8 | award received (ps:P166) | Chess Oscar (wd:Q752000)            |
| s:Q172798-79075b05-4bb9-f61b-73ea-946241f4a0e8 | point in time (pq:P585)  | 2005-01-01T00:00:00Z (xsd:dateTime) |
| s:Q172798-79075b05-4bb9-f61b-73ea-946241f4a0e8 | wikibase:rank            | wikibase:NormalRank                 |
| s:Q172798-79075b05-4bb9-f61b-73ea-946241f4a0e8 | rdf:type                 | wikibase:BestRank                   |
| s:Q172798-79075b05-4bb9-f61b-73ea-946241f4a0e8 | point in time (pqv:P585) | v:1787cce2e37eae1c7c8cef5bef90f0ba  |
| s:Q172798-79075b05-4bb9-f61b-73ea-946241f4a0e8 | rdf:type                 | wikibase:Statement                  |

[Tool]
Got 6 rows and 3 columns:
| subject                                        | property                 | object                                |
| ---------------------------------------------- | ------------------------ | ------------------------------------- |
| s:Q172798-ebafba90-4b44-a52b-551d-b8a4632b2477 | award received (ps:P166) | World Chess Championship (wd:Q190042) |
| s:Q172798-ebafba90-4b44-a52b-551d-b8a4632b2477 | point in time (pq:P585)  | 2005-01-01T00:00:00Z (xsd:dateTime)   |
| s:Q172798-ebafba90-4b44-a52b-551d-b8a4632b2477 | wikibase:rank            | wikibase:NormalRank                   |
| s:Q172798-ebafba90-4b44-a52b-551d-b8a4632b2477 | rdf:type                 | wikibase:BestRank                     |
| s:Q172798-ebafba90-4b44-a52b-551d-b8a4632b2477 | point in time (pqv:P585) | v:e9fb92a10cba9810496dcd2069ca7a89    |
| s:Q172798-ebafba90-4b44-a52b-551d-b8a4632b2477 | rdf:type                 | wikibase:Statement                    |

[Tool]
Top 10 property alternatives:
1. start time, also known as start date, since, valid, join time, joined (wd:P580 as psv/psn/ps/pq/p/pqv/pqn/prn/pr/prv/wdtn/wdt): time an entity begins to exist or a statement starts being valid, point in time
2. inception, also known as initial release date, founded in, founded on, founded on date, founding date (wd:P571 as psv/psn/ps/pq/p/pqv/pqn/prn/pr/prv/wdtn/wdt): time when an entity begins to exist; for date of official opening use P1619, start time
3. work period (start), also known as start working, flourished (start), start time for work, start date of activity, fl. (start) (wd:P2031 as psv/psn/ps/pq/p/pqv/pqn/prn/pr/prv/wdtn/wdt): start of period during which a person or group flourished (fl. = "floruit") in their professional activity, start time, floruit
4. earliest date, also known as no earlier than, terminus post quem, start date (earliest), on or after this date, minimum date (wd:P1319 as psv/psn/ps/pq/p/pqv/pqn/prn/pr/prv/wdtn/wdt): earliest date at which an event could have happened. Use as qualifier for other date properties
5. UTC date of spacecraft launch, also known as time of spacecraft launch, spacecraft launch time, spacecraft launch date, launch time, launch date (wd:P619 as psv/psn/ps/pq/p/pqv/pqn/prn/pr/prv/wdtn/wdt): date of spacecraft launch in UTC
6. refine date, also known as date refinement, exact time, hour, local time, quarter (wd:P4241 as psv/psn/ps/pq/p/pqv/pqn/prn/pr/prv/wdtn/wdt): qualifier to narrow down the precision of a date not fully specified by the Wikidata time datatype precision field
7. point in time, also known as at time, as of, year, when, time of event (wd:P585 as psv/psn/ps/pq/p/pqv/pqn/prn/pr/prv/wdtn/wdt): date something took place, existed or a statement was true; for providing time use the "refine date" property (P4241)
8. genomic start, also known as start coordinate, genomic from, Genloc From, from, Genloc Start (wd:P644 as psv/psn/ps/pq/p/pqv/pqn/prn/pr/prv/wdtn/wdt): genomic starting coordinate of the biological sequence (e.g. a gene)
9. start point, also known as start location, launch pad, launch site, starting place, starting point (wd:P1427 as psv/psn/ps/pq/p/pqv/pqn/prn/pr/prv/wdtn/wdt): starting place of this journey, flight, voyage, trek, migration etc., source of transfer, location
10. opening time, also known as hour opens, opens at, opening hour, open hour (wd:P8626 as psv/psn/ps/pq/p/pqv/pqn/prn/pr/prv/wdtn/wdt): time when an establishment or attraction opens, qualifier for P3025

[Tool]
Top 10 property alternatives:
1. end time, also known as ends, stop time, endtime, fall date, ineffective (wd:P582 as psv/psn/ps/pq/p/pqv/pqn/prn/pr/prv/wdtn/wdt): moment when an entity ceases to exist and a statement stops being entirely valid or no longer be true, point in time
2. end period, also known as until period (wd:P3416 as psv/psn/ps/pq/p/pqv/pqn/prn/pr/prv/wdtn/wdt): last period in which the statement is still valid (including the period-value)
3. date of death, also known as DOD, deathdate, died, died on, year of death (wd:P570 as psv/psn/ps/pq/p/pqv/pqn/prn/pr/prv/wdtn/wdt): dissolved, abolished or demolished date, date on which the subject died, end time
4. work period (end), also known as floruit end, floruit (end of work), flourished (end), retirement, work ends (wd:P2032 as psv/psn/ps/pq/p/pqv/pqn/prn/pr/prv/wdtn/wdt): end of period during which a person or group flourished (fl. = "floruit") in their professional activity, end time, floruit
5. destination of transfer, also known as recipient, to, target, receiver, end point (wd:P12694 as psv/psn/ps/pq/p/pqv/pqn/prn/pr/prv/wdtn/wdt): entity that a transferred item comes to be associated with as a result of this process
6. terminus, also known as end point, terminating connection, termini, terminuses, trailhead (wd:P559 as psv/psn/ps/pq/p/pqv/pqn/prn/pr/prv/wdtn/wdt): the feature (intersecting road, train station, etc.) at the end of a linear feature
7. dissolved, abolished or demolished date, also known as ended, publication end date, final issue, date repealed, final year (wd:P576 as psv/psn/ps/pq/p/pqv/pqn/prn/pr/prv/wdtn/wdt): point in time at which the subject (organisation, building) ceas...g equipment,  "discontinued date" (P2669) for stopping a product, end time
8. end cause, also known as cause of ending, ended by, end has cause, end reason, reason for end (wd:P1534 as psv/psn/ps/pq/p/pqv/pqn/prn/pr/prv/wdtn/wdt): qualifier used together with the end date qualifier (P582) to specify the reason for the end
9. point in time, also known as at time, as of, year, when, time of event (wd:P585 as psv/psn/ps/pq/p/pqv/pqn/prn/pr/prv/wdtn/wdt): date something took place, existed or a statement was true; for providing time use the "refine date" property (P4241)
10. last line, also known as closing line, ending, excipit, final line, final sentence (wd:P3132 as psv/psn/ps/pq/p/pqv/pqn/prn/pr/prv/wdtn/wdt): last line (excipit) of a poem, last sentence of a novel, etc.

[Assistant]
We have confirmed that:
- The "World Chess Championship" is wd:Q190042.
- The property "award received" (wd:P166) is used to indicate recipients.
- Qualifiers "start time" (wd:P580) and "end time" (wd:P582) can be used to indicate the period of the award, though in the example for Veselin Topalov, only "point in time" (wd:P585) was present.

To answer the question, I will write a SPARQL query that:
- Finds all subjects (people) who have received the "World Chess Championship" (wd:Q190042) via "award received" (P166).
- Optionally retrieves the start time (P580) and end time (P582) qualifiers for the award.
- Optionally retrieves the point in time (P585) qualifier if start/end times are not available.
- Optionally retrieves the label of the recipient.

Here is the query.

[Tool] Stopped generation process


PREFIX rdfs: <http://www.w3.org/2000/01/rdf-schema#>
PREFIX wd: <http://www.wikidata.org/entity/>
PREFIX wdt: <http://www.wikidata.org/prop/direct/>
SELECT ?building ?buildingLabel WHERE {
  ?building wdt:P31 ?type .
  ?type wdt:P279 * wd:Q24398318 .
  ?building wdt:P131 wd:Q1443 .
  OPTIONAL {
    ?building rdfs:label ?buildingLabel FILTER ( lang( ?buildingLabel ) = "en" )
  }
}

Despite several approaches—searching for religious buildings and their subclasses, as well as for church buildings and general buildings located in Molise—Wikidata does not appear to have any religious buildings explicitly linked to the Molise region. Therefore, I am unable to provide a satisfactory SPARQL query that answers the question with the current data.

[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 religious buildings located in the region of Molise, Italy?

[Assistant]
Let's break down the question:

1. We need to identify "religious buildings" as a class or type of entity in Wikidata.
2. We need to identify "Molise" as a region in Italy and get its Wikidata entity.
3. We need to find properties that relate a building to its location (e.g., "located in the administrative territorial entity").
4. We need to combine these to find all religious buildings located in Molise.

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

[Tool]
Top 10 entity alternatives:
1. Molise, also known as Molise region (wd:Q1443): region in Italy
2. Molise, also known as Molise (wd:Q277702): Italian comune
3. Eduardo De Filippo, also known as Eduardo Passarelli, Molise, Edoardo De Filippo (wd:Q332632): Italian actor, director and playwright (1900–1984), film director, screenwriter, stage actor, politician, playwright, director, writer, actor, poet
4. Molise (wd:Q3677921): Chamber of Deputies constituency
5. Molise (wd:Q20009741): Italian wine
6. Molise (wd:Q30027620): chief town of the homonym municipality
7. Molise (wd:Q3860244): olive oil from Italy
8. Contado di Molise, also known as Molise (wd:Q43464551): province of the Kingdom of the Two Sicilies
9. Slavomolisano, also known as Molise Croatian, Molise Slavic, Slavomolisano dialect (wd:Q36254): South Slavic language; independent dialect of the Croatian language
10. Molise Croats (wd:Q960850): ethnic group

[Assistant]
The correct entity for the region of Molise in Italy is wd:Q1443.

Next, let's identify the class or type for "religious building" in Wikidata. I'll search for this term.

[Tool]
Top 10 entity alternatives:
1. religious building, also known as sacral building (wd:Q24398318): building intended for religious worship or other activities rela...monial structures that are related to or concerned with religion
2. religious building (wd:L1119456-S1)
3. religious building (wd:L43674-S1)
4. religious building (wd:L42163-S1)
5. religious building fixture (wd:Q111547807): furniture, ornament, and other objects that are fastened in posi...building but are not an integral part of the architecture itself
6. former religious building (wd:Q96352496)
7. other religious building (wd:Q113965219): place type of the Finnish National Land Survey
8. religious tower building (wd:Q117814118)
9. religious buildings, also known as V110. (wd:Q126877023): narrative motif documented in Thompson's Motif-Index of Folk-Literature
10. Religious buildings (wd:Q109182332): chapter published in 2007

[Assistant]
The most appropriate entity for "religious building" is wd:Q24398318.

Now, let's find the property that links a building to its location, specifically to an administrative territorial entity like a region. I'll search for properties related to "location" or "located in".

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

[Assistant]
The best property to use is "located in the administrative territorial entity" (wdt:P131).

Now, let's put this together:
- We want all entities that are instances of "religious building" (wd:Q24398318)
- That are located in the administrative territorial entity "Molise" (wd:Q1443)

I'll write a SPARQL query to retrieve these entities, including their IRIs and optionally their labels.

[Tool] Got no rows and 2 columns

[Assistant]
The query returned no results. This could mean that:
- There are no items directly classified as "religious building" (wd:Q24398318) located in Molise (wd:Q1443) in Wikidata.
- Religious buildings might be classified under more specific subclasses (e.g., church, cathedral, mosque, etc.) rather than the general "religious building" class.

To improve the query, I should look for subclasses of "religious building" and include them in the search. First, I'll check for subclasses of "religious building".

[Tool]
Got 81 rows and 1 column, showing the first 5 and last 5 rows below:
| subclass                                 |
| ---------------------------------------- |
| wd:Q100588002                            |
| mandi (wd:Q102444912)                    |
| sacristan house (wd:Q103910796)          |
| Teocalli (wd:Q1048855)                   |
| mission hall (wd:Q10586368)              |
| ...                                      |
| Trappist monastery (wd:Q91325574)        |
| kagura-den (wd:Q94498)                   |
| Cistercian nunnery (wd:Q96019931)        |
| former religious building (wd:Q96352496) |
| monastic dependency (wd:Q98094402)       |

[Assistant]
There are many subclasses of "religious building" (wd:Q24398318), such as churches, monasteries, temples, etc. To ensure we capture all relevant buildings, we should include all subclasses in our query.

I'll modify the query to include all entities that are instances of any subclass of "religious building" and are located in Molise.

[Tool] Got no rows and 2 columns

[Assistant]
Even after expanding the query to include all subclasses of "religious building," there are still no results. This suggests that Wikidata may not have religious buildings in Molise explicitly linked with both a religious building class and the Molise region.

As a next step, I will check if there are any buildings of a common religious type (e.g., "church") located in Molise, to see if perhaps the data is more complete for specific types. I'll search for the entity for "church" and try a query with that.

[Tool]
Top 10 entity alternatives:
1. church building, also known as christian temple, church, church meetinghouse, kirk, meetinghouse (wd:Q16970): building for Christian worship
2. parish church, also known as church, Parish church, parochial church, parochial church (wd:Q317557): church which acts as the religious centre of a parish
3. church congregation, also known as Christian congregation, church, local church, particular church (wd:Q2638480): Christian religious organization meeting at a particular location
4. collegiate church, also known as church (wd:Q1509716): church where the daily office of worship is maintained by a college of canons
5. 10343 Church, also known as (10343) Church, Church (wd:Q1088628): asteroid
6. The Church, also known as Church (wd:Q1757705): Australian rock band
7. The Church, also known as Cathedral of Demons, Church, Demon Cathedral, La chiesa (wd:Q378754): 1989 film by Michele Soavi
8. Church, also known as Church (Lancashire), Church, Lancashire (wd:Q2427568): village in Lancashire, United Kingdom
9. Frederick Stuart Church, also known as F. S. Church, Frederick S. Church, f.s. church, Frederic S. Church, Church (wd:Q3087166): American artist (1842-1924), graphic designer, painter
10. Church and Wellesley, also known as The Village, The Gay Village, Church and Wellesley Village, Church (wd:Q1089761): neighbourhood in Toronto

[Assistant]
The entity for "church building" is wd:Q16970.

I'll now try a query to find all church buildings (wd:Q16970) located in Molise (wd:Q1443).

[Tool] Got no rows and 2 columns

[Assistant]
There are still no results, even when searching specifically for church buildings in Molise. This suggests that Wikidata does not have religious buildings in Molise explicitly linked with both their building type and the Molise region.

To be thorough, I will try one more approach: searching for any building (wd:Q41176) located in Molise, and then see if any of them have a religious function or type. This might help identify if the data is present but not well-typed.

[Tool] Got no rows and 2 columns

[Tool] Stopped generation process