PREFIX wdt: <http://www.wikidata.org/prop/direct/>
PREFIX wd: <http://www.wikidata.org/entity/>
PREFIX rdfs: <http://www.w3.org/2000/01/rdf-schema#>
SELECT ?country ?countryLabel WHERE {
  wd:Q6386177 wdt:P17 ?country .
  OPTIONAL {
    ?country rdfs:label ?countryLabel FILTER ( lang( ?countryLabel ) = "en" )
  }
}

Got 1 row and 2 columns:
| country         | countryLabel |
| --------------- | ------------ |
| Canada (wd:Q16) | Canada (en)  |

Limerick Lake is in Canada (wd:Q16).

[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 http://amur:7001

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] In which country is the Limerick Lake?

[Assistant]
Let's break down the question:

1. The entity "Limerick Lake" needs to be identified in Wikidata.
2. We need to find the property that links a lake to its country.
3. We will then construct a SPARQL query to find the country of Limerick Lake.

First, I will search for the entity "Limerick Lake" in Wikidata.

[Tool]
Top 10 entity alternatives:
1. Limerick Lake (wd:Q6386177): lake in Hastings Country, Ontario, Canada
2. Lake Limerick (wd:Q49303749): lake in Mason County, Washington state, United States of America
3. Limerick Lake (wd:Q22434937): lake in Algoma District, Ontario, Canada
4. Lake Limerick Dam (wd:Q48991830): dam impounding Cranberry Creek in Mason County, Washington state, United States of America
5. lake, also known as Lake, lakes (wd:Q23397): body of relatively still water, localized in a basin
6. Limerick, also known as Limerick City, Limrick, Limmerick (wd:Q133315): city in Ireland in the province of Munster
7. County Limerick, also known as Limerick, County Limerick, Ireland (wd:Q178283): county in Ireland
8. limerick, also known as Limerick (wd:Q204698): form of poetry
9. Lake, also known as Lake, Mississippi, Lake, MS (wd:Q2087707): town in Newton and Scott counties, Mississippi, United States
10. Limerick F.C., also known as LFC, Limerick, Limerick FC, Limerick Football Club (wd:Q1552212): association football club in Limerick, Ireland

[Assistant]
There are two entities named "Limerick Lake" in Ontario, Canada:
- Limerick Lake (wd:Q6386177): lake in Hastings Country, Ontario, Canada
- Limerick Lake (wd:Q22434937): lake in Algoma District, Ontario, Canada

Since the question asks generally about "Limerick Lake," I will focus on the first and most prominent result: wd:Q6386177.

Next, I need to find the property that links a lake to its country. I will search for properties related to "country."

[Tool]
Top 10 property alternatives:
1. valid in place, also known as applies to country, applies to location, applies to place, country, true in (wd:P3005 as psv/wdt/p/pq/psn/pqn/prn/wdtn/prv/pqv/pr/ps): 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 psv/wdt/p/pq/psn/pqn/prn/wdtn/prv/pqv/pr/ps): 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 psv/wdt/p/pq/psn/pqn/prn/wdtn/prv/pqv/pr/ps): 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 psv/wdt/p/pq/psn/pqn/prn/wdtn/prv/pqv/pr/ps): 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 psv/wdt/p/pq/psn/pqn/prn/wdtn/prv/pqv/pr/ps): 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 psv/wdt/p/pq/psn/pqn/prn/wdtn/prv/pqv/pr/ps): most specific known birth location of a person, animal or fictional character, location
7. continent (wd:P30 as psv/wdt/p/pq/psn/pqn/prn/wdtn/prv/pqv/pr/ps): 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 psv/wdt/p/pq/psn/pqn/prn/wdtn/prv/pqv/pr/ps): 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 psv/wdt/p/pq/psn/pqn/prn/wdtn/prv/pqv/pr/ps): 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 psv/wdt/p/pq/psn/pqn/prn/wdtn/prv/pqv/pr/ps): location of the object, structure or event. In the case of an ad...ity use P706. Use P7153 for locations associated with the object

[Assistant]
The most relevant property for linking a lake to its country is "country" (wd:P17): sovereign state that this item is in.

Now, I will check if Limerick Lake (wd:Q6386177) has a value for the property "country" (wd:P17).

[Tool]
Got 1 row and 3 columns:
| subject                     | property          | object          |
| --------------------------- | ----------------- | --------------- |
| Limerick Lake (wd:Q6386177) | country (wdt:P17) | Canada (wd:Q16) |

[Tool]
Got 1 row and 1 column:
| country         |
| --------------- |
| Canada (wd:Q16) |

[Tool]
Got 1 row and 2 columns:
| country         | countryLabel |
| --------------- | ------------ |
| Canada (wd:Q16) | Canada (en)  |

[Tool] Stopped generation process


PREFIX wdt: <http://www.wikidata.org/prop/direct/>
PREFIX wd: <http://www.wikidata.org/entity/>
ASK {
  wd:Q1144302 wdt:P171 * wd:Q10908
}

Yes, tree frogs are a type of amphibian.

[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 http://amur:7001

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] Are tree frogs a type of amphibian?

[Assistant]
Let's break down the question:

1. We need to identify the entity for "tree frogs" in Wikidata.
2. We need to check if "tree frogs" are classified as a type of "amphibian".
3. This is a True/False question, so the final SPARQL query should be an ASK query.

First, I'll search for the entity "tree frog" in Wikidata.

[Tool]
Top 10 entity alternatives:
1. Hylidae, also known as Hylid, Tree frog (wd:Q53696): family of amphibians
2. tree frog (wd:Q1144302): any species of frog that spends a major portion of its lifespan in trees
3. Bokermannohyla izecksohni, also known as Bokermannohyla izeckshoni, Tree frog (wd:Q308753): species of amphibian
4. Rhacophorus lateralis, also known as Small Tree Frog, Tree frog (wd:Q2707407): species of amphibian
5. Leptopelis fiziensis, also known as Tree frog (wd:Q1946641): species of amphibian
6. Tree frog (wd:Q110818899)
7. Hyla arborea, also known as Common Tree Frog, European Tree Frog (wd:Q2142057): species of amphibian
8. red-eyed tree frog, also known as Agalychnis callidryas (wd:Q337616): species of amphibian
9. Australian green tree frog, also known as White's tree frog, Litoria caerulea, green tree frog, Ranoidea caerulea (wd:Q654682): species of amphibian
10. Common tree frog, also known as Polypedates leucomystax (wd:Q2277171): species of amphibian

[Assistant]
The search results show that "tree frog" can refer to a family (Hylidae, wd:Q53696), a general group (wd:Q1144302), or specific species. For the purpose of this question, the most general and appropriate entity is "tree frog" (wd:Q1144302): any species of frog that spends a major portion of its lifespan in trees.

Now, I need to check if this entity is classified as a type of "amphibian". Next, I will search for the entity "amphibian" in Wikidata to use in the query.

[Tool]
Top 10 entity alternatives:
1. Amphibia, also known as amphibian, amphibians (wd:Q10908): class of tetrapods, whose living forms include frogs, toads, salamanders, newts and caecilians
2. amphibious vehicle, also known as amphibian (wd:Q474698): means of transport, viable on land as well as on (or under) water
3. amphibious aircraft, also known as amphibian (wd:Q474709): aircraft that can routinely both operate in water and in land
4. Amphibian (wd:Q15924195): 2005 studio album by Tanya Chua
5. Amphibian, also known as Kingsley Rice (wd:Q4748176): fictional character in Marvel Comics
6. Amphibian (wd:Q125685669): journal article from 'The Global South' published in 2022
7. amphibian (wd:L334419-F1)
8. amphibian (wd:L334419)
9. amphibian (wd:L229297-F1)
10. amphibian (wd:L229297)

[Assistant]
The most relevant entity for "amphibian" is Amphibia (wd:Q10908), which is the class of tetrapods including frogs.

Now, I need to check if "tree frog" (wd:Q1144302) is an instance or subclass of "amphibian" (wd:Q10908). The relevant properties are likely "instance of" (P31) or "subclass of" (P279).

I will search for properties of "tree frog" related to "amphibian" to confirm the relationship.

[Tool]
Top 10 property alternatives:
1. taxon known by this common name (wd:P13176 as wdt/p): taxon item of which this common name refers
2. parent taxon, also known as higher taxon, taxon parent (wd:P171 as wdt/p): closest parent taxon of the taxon in question, subclass of
3. instance of, also known as unitary element of class, has type, unique individual of, type, item of type (wd:P31 as wdt/p): that class of which this subject is a particular example and mem...is a subclass of mountain (and an instance of volcanic landform)
4. image, also known as still capture, still, screenshot, screen capture, portrait (wd:P18 as wdt/p): image of relevant illustration of the subject; if available, als...tor map, flag image, signature image, logo image, collage image)
5. described by source, also known as mentioned in, source of item, reviewed in, mentioned in news article, talked about in (wd:P1343 as wdt/p): work where this item is described, attested in
6. Microsoft Academic ID, also known as MS Academic ID, Microsoft ID, Microsoft Academic Work ID, Microsoft Academic topic ID, Microsoft Academic Source ID (wd:P6366 as wdtn/wdt/p): identifier for an object or topic in the Microsoft Academic Graph (until 31 December 2021)
7. Freebase ID, also known as Freebase, MID, Freebase identifier, FID (wd:P646 as wdt/p): identifier for a page in the Freebase database. Format: "/m/0" f...r IDs starting with "/g/", use Google Knowledge Graph ID (P2671)
8. Encyclopædia Britannica Online ID, also known as Encyclopaedia Britannica Online ID, Encyclopedia Britannica Online ID, EBID, EB ID, Britannica online ID (wd:P1417 as wdt/p): identifier for an article in the online version of Encyclopædia Britannica
9. Australian Educational Vocabulary ID, also known as AEV ID, AEV identifier, Australian Educational Vocabulary identifier, Schools Online Thesaurus ID, Schools Online Thesaurus identifier (wd:P7033 as wdtn/wdt/p): ID for curriculum term in one of the controlled vocabularies at Australian education vocabularies
10. KBpedia ID, also known as KBpedia ontology, KKO, KBpedia knowledge graph, KBpedia, Kbpedia (wd:P8408 as wdtn/wdt/p): identifier for the KBpedia knowledge graph, which provides consi...operability and extraction of training sets for machine learning

No other items found

[Tool]
Got 121 rows and 3 columns, showing the first 10 rows below:
| subject                 | property                                      | object                                                                           |
| ----------------------- | --------------------------------------------- | -------------------------------------------------------------------------------- |
| tree frog (wd:Q1144302) | instance of (wdt:P31)                         | taxon (wd:Q16521)                                                                |
| tree frog (wd:Q1144302) | image (wdt:P18)                               | <http://commons.wikimedia.org/wiki/Special:FilePath/Agalychnis%20callidryas.jpg> |
| tree frog (wd:Q1144302) | parent taxon (wdt:P171)                       | Neobatrachia (wd:Q134759)                                                        |
| tree frog (wd:Q1144302) | described by source (wdt:P1343)               | Encyclopædia Britannica 11th edition (wd:Q867541)                                |
| tree frog (wd:Q1144302) | pronunciation audio (wdt:P443)                | <http://commons.wikimedia.org/wiki/Special:FilePath/De-Baumfrosch.ogg>           |
| tree frog (wd:Q1144302) | taxon known by this common name (wdt:P13176)  | Hylidae (wd:Q53696)                                                              |
| tree frog (wd:Q1144302) | Freebase ID (wdt:P646)                        | /m/04f74b3                                                                       |
| tree frog (wd:Q1144302) | Microsoft Academic ID (wdtn:P6366)            | <https://makg.org/entity/2778749046>                                             |
| tree frog (wd:Q1144302) | OpenAlex ID (wdt:P10283)                      | C2778749046                                                                      |
| tree frog (wd:Q1144302) | Encyclopædia Britannica Online ID (wdt:P1417) | animal/tree-frog-amphibian-group                                                 |
| ...                     | ...                                           | ...                                                                              |

[Assistant]
From the results, "tree frog" (wd:Q1144302) is an "instance of" (wdt:P31) "taxon" (wd:Q16521), and its "parent taxon" (wdt:P171) is "Neobatrachia" (wd:Q134759). To determine if "tree frog" is a type of amphibian, I need to check if its parent taxon (or any ancestor taxon) is "amphibian" (wd:Q10908).

The property "parent taxon" (wdt:P171) can be used recursively to trace the taxonomic hierarchy up to "amphibian". I will construct an ASK query that checks if "tree frog" (wd:Q1144302) is a descendant (via parent taxon) of "amphibian" (wd:Q10908).

[Tool] True

[Tool] Stopped generation process