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 ?item ?itemLabel ?instanceOf ?instanceOfLabel ?subclassOf ?subclassOfLabel ?encodes ?encodesLabel ?foundInTaxon ?foundInTaxonLabel WHERE {
  VALUES ?item {
    wd:Q18032040
  }
  OPTIONAL {
    ?item wdt:P31 ?instanceOf .
  }
  OPTIONAL {
    ?item wdt:P279 ?subclassOf .
  }
  OPTIONAL {
    ?item wdt:P688 ?encodes .
  }
  OPTIONAL {
    ?item wdt:P703 ?foundInTaxon .
  }
  OPTIONAL {
    ?item rdfs:label ?itemLabel .
    FILTER ( LANG( ?itemLabel ) = "en" )
  }
  OPTIONAL {
    ?instanceOf rdfs:label ?instanceOfLabel .
    FILTER ( LANG( ?instanceOfLabel ) = "en" )
  }
  OPTIONAL {
    ?subclassOf rdfs:label ?subclassOfLabel .
    FILTER ( LANG( ?subclassOfLabel ) = "en" )
  }
  OPTIONAL {
    ?encodes rdfs:label ?encodesLabel .
    FILTER ( LANG( ?encodesLabel ) = "en" )
  }
  OPTIONAL {
    ?foundInTaxon rdfs:label ?foundInTaxonLabel .
    FILTER ( LANG( ?foundInTaxonLabel ) = "en" )
  }
}

Using entities:
TNFAIP1 (wd:Q18032040), also known as B12, B61, BTBD34, EDP1, hBACURD2, etc.

Using properties:
subclass of (wd:P279 as wdt), also known as all members of this class also belong to, category of, form of, has superclass, is a class of, etc.
instance of (wd:P31 as wdt), also known as example of, has type, is a, is an, is of type, etc.
encodes (wd:P688 as wdt), also known as codes for, P688
found in taxon (wd:P703 as wdt), also known as found in species, present in taxon, P703

Answer: TNFAIP1 (wd:Q18032040) is a human protein-coding gene. Specifically, the item wd:Q18032040 is an instance of gene (wd:Q7187) and a subclass of protein-coding gene (wd:Q20747295); it is found in the taxon Homo sapiens (wd:Q15978631) and it encodes the protein TNF alpha induced protein 1 (wd:Q21116711).

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

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. Search for the 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. Execute intermediate queries to get feedback and to verify your assumptions. You may need to refine or rethink your current plan based on the query results and go back to step 2 if needed, possibly multiple times.
4. Use the answer or cancel function to finalize your answer and stop the generation process.

You have access to the following knowledge graphs:
wikidata at http://localhost:7001 without notes

You are provided with the following notes across all knowledge graphs:
No notes available

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/
qlss: <https://qlever.cs.uni-freiburg.de/spatialSearch/
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 these rules:
- Explain your thought process before and after each step and function call.
- Do not just use or make up entity or property identifiers without verifying their existence in the knowledge graphs first.
- 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.
- Always execute your final SPARQL query before giving an answer to make sure it returns the expected results.
- 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.
- 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.
- 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.
- For questions with a "True" or "False" answer the SPARQL query should be an ASK query.

[User] What is TNFAIP1 ?

[Assistant] Step 1: I'll search Wikidata for the entity named "TNFAIP1" to find the correct item identifier and verify what kind of thing it is (gene, protein, etc.). I will call the entity search function now.

[Tool]
Top 10 entity alternatives:
1. TNFAIP1 (wd:Q18032040), also known as B12, B61, BTBD34, EDP1, hBACURD2, etc.: protein-coding gene in the species Homo sapiens / is subclass of protein-coding gene / is instance of gene
2. TNFAIP1 (wd:Q24590424): gene of the species Macaca nemestrina / is subclass of protein-coding gene / is subclass of gene
3. TNF alpha induced protein 1 (wd:Q28561340, matched via Tnfaip1), also known as BTB/POZ domain-containing adapter for CUL3-mediated RhoA degradation protein 2, BTB/POZ domain-containing protein TNFAIP1, Tnfaip1, tumor necrosis factor, alpha induced protein 1, tumor necrosis factor, alpha-induced protein 1 (endothelial), etc.: mammalian protein found in Rattus norvegicus / is instance of protein / is subclass of protein
4. tnfaip1 (wd:Q29747183), also known as tumor necrosis factor, alpha-induced protein 1 (endothelial), wu:fi06b02, zgc:55302: protein-coding gene in the species Danio rerio / is instance of gene
5. TNF alpha induced protein 1 (wd:Q21116711, matched via TNFAIP1), also known as BTB/POZ domain-containing adapter for CUL3-mediated RhoA degradation protein 2, BTB/POZ domain-containing protein TNFAIP1, Protein B12, TNFAIP1, tumor necrosis factor, alpha induced protein 1, etc.: mammalian protein found in Homo sapiens / is instance of protein
6. Tumor necrosis factor, alpha-induced protein 1 (endothelial) (wd:Q21496129, matched via Tnfaip1), also known as BTB/POZ domain-containing adapter for CUL3-mediated RhoA degradation protein 2, BTB/POZ domain-containing protein TNFAIP1, Tnfaip1, Tumor necrosis factor, alpha-induced protein 1, endothelial, tumor necrosis factor induced protein 1: mammalian protein found in Mus musculus / is instance of protein / is subclass of protein
7. Tnfaip1 (wd:Q18255043), also known as Bacurd2, Edp-1, Edp1, Tnfip1, tumor necrosis factor, alpha-induced protein 1 (endothelial): protein-coding gene in the species Mus musculus / is subclass of protein-coding gene / is instance of gene
8. Tnfaip1 (wd:Q24361388), also known as Edp1, TNF alpha induced protein 1: protein-coding gene in the species Rattus norvegicus / is subclass of protein-coding gene / is instance of gene
9. Potassium channel tetramerization domain containing 13 (wd:Q21112778, matched via TNFAIP1-like protein), also known as BTB/POZ domain-containing adapter for CUL3-mediated RhoA degradation protein 1, BTB/POZ domain-containing protein KCTD13, CTD-2574D22.4, KCTD13, polymerase delta-interacting protein 1, etc.: mammalian protein found in Homo sapiens / is instance of protein
10. Functional characterization of the promoter region of human TNFAIP1 gene (wd:Q42456788): scientific article published on 11 July 2009 / scientific article published on 11 July 2009 / scientific article published on 11 July 2009 / is instance of scholarly article / is instance of academic article

[Assistant] Next I'll list some triples for the Wikidata item wd:Q18032040 (the human TNFAIP1 gene) to see which properties are available and choose the most relevant ones for the query. I'll call the list function now.

[Tool]
Got 165 rows and 3 columns, showing the first 10 rows below:
| subject                | property                       | object                                     |
| ---------------------- | ------------------------------ | ------------------------------------------ |
| TNFAIP1 (wd:Q18032040) | instance of (wdt:P31)          | gene (wd:Q7187)                            |
| TNFAIP1 (wd:Q18032040) | subclass of (wdt:P279)         | protein-coding gene (wd:Q20747295)         |
| TNFAIP1 (wd:Q18032040) | Freebase ID (wdt:P646)         | /m/03m60b8                                 |
| TNFAIP1 (wd:Q18032040) | ortholog (wdt:P684)            | Tnfaip1 (wd:Q18255043)                     |
| TNFAIP1 (wd:Q18032040) | found in taxon (wdt:P703)      | Homo sapiens (wd:Q15978631)                |
| TNFAIP1 (wd:Q18032040) | genomic end (wdt:P645)         | 26674035                                   |
| TNFAIP1 (wd:Q18032040) | genomic start (wdt:P644)       | 26662628                                   |
| TNFAIP1 (wd:Q18032040) | strand orientation (wdt:P2548) | forward strand (wd:Q22809680)              |
| TNFAIP1 (wd:Q18032040) | expressed in (wdt:P5572)       | spleen (wd:Q9371)                          |
| TNFAIP1 (wd:Q18032040) | encodes (wdt:P688)             | TNF alpha induced protein 1 (wd:Q21116711) |
| ...                    | ...                            | ...                                        |

[Assistant] I'll run a SPARQL query for the Wikidata item we found (wd:Q18032040) to retrieve its identifiers and key properties: instance of (P31), subclass of (P279), encodes (P688), and found in taxon (P703), plus English labels. This verifies the item's nature and provides the IRIs required. Now I'll execute the query.

[Tool]
Got 1 row and 10 columns:
| item                   | itemLabel    | instanceOf      | instanceOfLabel | subclassOf                         | subclassOfLabel          | encodes                                    | encodesLabel                     | foundInTaxon                | foundInTaxonLabel |
| ---------------------- | ------------ | --------------- | --------------- | ---------------------------------- | ------------------------ | ------------------------------------------ | -------------------------------- | --------------------------- | ----------------- |
| TNFAIP1 (wd:Q18032040) | TNFAIP1 (en) | gene (wd:Q7187) | gene (en)       | protein-coding gene (wd:Q20747295) | protein-coding gene (en) | TNF alpha induced protein 1 (wd:Q21116711) | TNF alpha induced protein 1 (en) | Homo sapiens (wd:Q15978631) | Homo sapiens (en) |

[Assistant] I'll run a final SPARQL query that retrieves the item IRI for TNFAIP1 (the human gene), its instance-of and subclass-of statements, the protein it encodes, and the taxon it is found in, along with English labels. Then I'll report a concise summary including the IRIs returned by the query. Now I'll execute that query.

[Tool] Stopping


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 DISTINCT ?neighbor ?neighborLabel ?countryCount WHERE {
  {
    SELECT ( COUNT( DISTINCT ?n ) AS ?countryCount ) WHERE {
      wd:Q408 wdt:P47 ?n .
      ?n wdt:P31 ?type .
      FILTER ( ?type IN ( wd:Q3624078 , wd:Q6256 ) )
    }
  }
  wd:Q408 wdt:P47 ?neighbor .
  ?neighbor wdt:P31 ?typ .
  FILTER ( ?typ IN ( wd:Q3624078 , wd:Q6256 ) ) OPTIONAL {
    ?neighbor rdfs:label ?neighborLabel FILTER ( LANG( ?neighborLabel ) = "en" )
  }
}
ORDER BY ?neighborLabel

Using entities:
sovereign state (wd:Q3624078), also known as country, nation, sovereign country, sovereign nation, Westphalian state
Australia (wd:Q408), also known as AU, AUS, Aussieland, Commonwealth of Australia, Down Under, etc.
country (wd:Q6256), also known as countries

Using properties:
instance of (wd:P31 as wdt), also known as example of, has type, is a, is an, is of type, etc.
shares border with (wd:P47 as wdt), also known as adjacent to, border, bordered by, borders clockwise, next to, etc.

Got 6 rows and 3 columns:
| neighbor                   | neighborLabel         | countryCount |
| -------------------------- | --------------------- | ------------ |
| Indonesia (wd:Q252)        | Indonesia (en)        | 6 (xsd:int)  |
| New Zealand (wd:Q664)      | New Zealand (en)      | 6 (xsd:int)  |
| Papua New Guinea (wd:Q691) | Papua New Guinea (en) | 6 (xsd:int)  |
| Solomon Islands (wd:Q685)  | Solomon Islands (en)  | 6 (xsd:int)  |
| Timor-Leste (wd:Q574)      | Timor-Leste (en)      | 6 (xsd:int)  |
| Vanuatu (wd:Q686)          | Vanuatu (en)          | 6 (xsd:int)  |

Answer:
Procedure and reasoning:
- I identified Australia as wd:Q408.
- I used the property "shares border with" (wdt:P47) to find neighbors.
- To count only countries, I filtered neighbors to those that are instances of either "sovereign state" (wd:Q3624078) or "country" (wd:Q6256).
- I executed the query to both list those neighbors and compute their distinct count.

Result:
Australia shares a border with 6 countries according to Wikidata. The countries (with their Wikidata IRIs) are:
- wd:Q252 — Indonesia
- wd:Q664 — New Zealand
- wd:Q691 — Papua New Guinea
- wd:Q685 — Solomon Islands
- wd:Q574 — Timor-Leste
- wd:Q686 — Vanuatu

Final answer: 6 countries.

With how many countries does Australia share a border?

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

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. Search for the 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. Execute intermediate queries to get feedback and to verify your assumptions. You may need to refine or rethink your current plan based on the query results and go back to step 2 if needed, possibly multiple times.
4. Use the answer or cancel function to finalize your answer and stop the generation process.

You have access to the following knowledge graphs:
wikidata at http://localhost:7001 without notes

You are provided with the following notes across all knowledge graphs:
No notes available

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/
qlss: <https://qlever.cs.uni-freiburg.de/spatialSearch/
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 these rules:
- Explain your thought process before and after each step and function call.
- Do not just use or make up entity or property identifiers without verifying their existence in the knowledge graphs first.
- 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.
- Always execute your final SPARQL query before giving an answer to make sure it returns the expected results.
- 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.
- 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.
- 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.
- For questions with a "True" or "False" answer the SPARQL query should be an ASK query.

[User] With how many countries does Australia share a border?

[Assistant] I will first find the Wikidata item for "Australia" and identify the property used for borders (typically "shares border with" P47). I'll search the knowledge graph for the Australia entity, then look for the border property usage. I'll explain each step and run SPARQL queries to verify. Now I'll search for the Australia entity.

[Tool]
Top 10 entity alternatives:
1. Australia (wd:Q408), also known as AU, AUS, Aussieland, Commonwealth of Australia, Down Under, etc.: is instance of sovereign state / is instance of federation / is instance of country / country in Oceania / country in Oceania / country in Oceania / country in Oceania
2. Australian continent (wd:Q3960, matched via Australia), also known as Australia, Australia (continent), Australinea, Meganesia, New Holland, etc.: continent in the Earth's Southern Hemisphere / continent in Earth's Southern Hemisphere / is instance of continent / continent
3. Australia (wd:Q275180): 2008 film by Baz Luhrmann / is instance of film
4. Australia (wd:Q205546): 1989 film by Jean-Jacques Andrien / is instance of film
5. Australia (wd:Q4823546): 1996 single by Manic Street Preachers / is instance of single
6. Australia (wd:Q16835533): is instance of Horse / is instance of horse / Racehorse
7. Australia (wd:Q781244): is instance of board game / board game
8. Australia (wd:Q4823541), also known as Australia (KA–5): yacht that raced in the Americas Cup / is instance of sailing yacht
9. Australia (wd:Q12887638): village and ''consejo popular'' in Cuba / is instance of human settlement
10. Australia (wd:Q25907685): albedo feature on the planet Mercury / is instance of albedo feature

[Assistant] I'll search for the property corresponding to "shares border with" to confirm its identifier.

[Tool]
Top 10 property alternatives:
1. shares border with (wd:P47 as p/wdtn/pqn/pqv/wdt/prv/pr/ps/psn/prn/psv/pq), also known as adjacent to, border, bordered by, borders clockwise, next to, etc.: countries or administrative subdivisions, of equal level, ... either by land or water. A single common point is enough. / countries or administrative subdivisions, of equal level, that this item borders, either by land or water / countries or administrative subdivisions, of equal level, that this item borders, either by land or water
2. has boundary (wd:P4777 as p/wdtn/pqn/pqv/wdt/prv/pr/ps/psn/prn/psv/pq, matched via has border), also known as border, boundary, delimited by, frontier, has 2D boundary, etc.: element that's on the two dimensional border that surrounds the subject; the limit of an entity
3. number of reblogs (wd:P10756 as p/wdtn/pqn/pqv/wdt/prv/pr/ps/psn/prn/psv/pq, matched via shares), also known as number of crossposts, number of on-platform shares, number of on-site shares, number of reposts, number of retweets, etc.: number of reblogs, reposts, retweets, crossposts, or on-platform shares received on a social media post
4. industry (wd:P452 as p/wdtn/pqn/pqv/wdt/prv/pr/ps/psn/prn/psv/pq, matched via sector), also known as branch, economic branch, field of action, field of exercise, sector, etc.: specific industry of company or organization / is subproperty of part of
5. identifier shared with (wd:P4070 as p/wdtn/pqn/pqv/wdt/prv/pr/ps/psn/prn/psv/pq, matched via shared with), also known as ID shared with, shared ID, shared with, shares identifier with, shares ID with, etc.: qualifier, to be used on external identifier IDs, indicating another Wikidata item is also matched to this ID / is subproperty of together with
6. together with (wd:P1706 as p/wdtn/pqn/pqv/wdt/prv/pr/ps/psn/prn/psv/pq, matched via shared with), also known as accompanied by, alongside, award shared with, feat., featuring, etc.: qualifier to specify the item that this property is shared with
7. connector (wd:P2935 as p/wdtn/pqn/pqv/wdt/prv/pr/ps/psn/prn/psv/pq, matched via ports), also known as electrical connector, has connector, port, ports, P2935: connectors which the device has/supports / connectors which the device has/supports / is subproperty of uses
8. contains (wd:P4330 as p/wdtn/pqn/pqv/wdt/prv/pr/ps/psn/prn/psv/pq, matched via surrounds), also known as container of, contents, encloses, has contents, holds, etc.: item or substance located within this item but not part of it
9. continent (wd:P30 as p/wdtn/pqn/pqv/wdt/prv/pr/ps/psn/prn/psv/pq), also known as P30: is subproperty of located in/on physical feature / is subproperty of located on terrain feature / continent of which the subject is a part / continent of which the subject is a part / continent of which the subject is a part
10. territory overlaps (wd:P3179 as p/wdtn/pqn/pqv/wdt/prv/pr/ps/psn/prn/psv/pq), also known as overlaps, partially coextensive with, partially coincident with, partially contains territorial extent, partially located in territorial entity, etc.: part or all of the area associated with (this) entity overlaps part or all of the area associated with that entity / part or all of the area associated with (this) entity overlaps part or all of the area associated with that entity / is subproperty of partially coincident with

[Assistant] Now I'll run a SPARQL query to list all entities linked by wdt:P47 (shares border with) from Australia (wd:Q408), and also retrieve each neighbor's instance-of (wdt:P31) and English label. This will verify which neighbors are countries. I'll execute the query next.

[Tool]
Got 30 rows and 4 columns, showing the first 5 and last 5 rows below:
| neighbor              | neighborLabel    | type                              | typeLabel                |
| --------------------- | ---------------- | --------------------------------- | ------------------------ |
| Indonesia (wd:Q252)   | Indonesia (en)   | island country (wd:Q112099)       | island country (en)      |
| Indonesia (wd:Q252)   | Indonesia (en)   | country (wd:Q6256)                | country (en)             |
| Indonesia (wd:Q252)   | Indonesia (en)   | presidential system (wd:Q49892)   | presidential system (en) |
| Indonesia (wd:Q252)   | Indonesia (en)   | sovereign state (wd:Q3624078)     | sovereign state (en)     |
| Indonesia (wd:Q252)   | Indonesia (en)   | archipelagic state (wd:Q13107770) | archipelagic state (en)  |
| ...                   | ...              | ...                               | ...                      |
| Timor-Leste (wd:Q574) | Timor-Leste (en) | sovereign state (wd:Q3624078)     | sovereign state (en)     |
| Vanuatu (wd:Q686)     | Vanuatu (en)     | sovereign state (wd:Q3624078)     | sovereign state (en)     |
| Vanuatu (wd:Q686)     | Vanuatu (en)     | country (wd:Q6256)                | country (en)             |
| Vanuatu (wd:Q686)     | Vanuatu (en)     | island country (wd:Q112099)       | island country (en)      |
| Vanuatu (wd:Q686)     | Vanuatu (en)     | archipelagic state (wd:Q13107770) | archipelagic state (en)  |

[Assistant] I'll count distinct entities linked to Australia (wd:Q408) via property wdt:P47 (shares border with), without yet filtering by whether they're countries. This will show how many neighbors P47 lists in total. I'll execute that query now.

[Tool]
Got 1 row and 1 column:
| totalNeighbors |
| -------------- |
| 7 (xsd:int)    |

[Assistant] I'll list the distinct neighbors (IRIs and English labels) that P47 reports for Australia to see which countries are counted.

[Tool]
Got 7 rows and 2 columns:
| neighbor                   | neighborLabel         |
| -------------------------- | --------------------- |
| Indonesia (wd:Q252)        | Indonesia (en)        |
| New Caledonia (wd:Q33788)  | New Caledonia (en)    |
| New Zealand (wd:Q664)      | New Zealand (en)      |
| Papua New Guinea (wd:Q691) | Papua New Guinea (en) |
| Solomon Islands (wd:Q685)  | Solomon Islands (en)  |
| Timor-Leste (wd:Q574)      | Timor-Leste (en)      |
| Vanuatu (wd:Q686)          | Vanuatu (en)          |

[Assistant] I'll run a final SPARQL query that (1) lists the neighbors of Australia connected via wdt:P47 that are instances of either 'sovereign state' (wd:Q3624078) or 'country' (wd:Q6256), returning their IRIs and English labels, and (2) computes the distinct count of such neighbors. This verifies how many countries Australia shares a border with according to Wikidata. I'll execute that query now.

[Tool]
Got 12 rows and 3 columns, showing the first 5 and last 5 rows below:
| neighbor                   | neighborLabel         | countryCount |
| -------------------------- | --------------------- | ------------ |
| Indonesia (wd:Q252)        | Indonesia (en)        | 6 (xsd:int)  |
| Indonesia (wd:Q252)        | Indonesia (en)        | 6 (xsd:int)  |
| New Zealand (wd:Q664)      | New Zealand (en)      | 6 (xsd:int)  |
| New Zealand (wd:Q664)      | New Zealand (en)      | 6 (xsd:int)  |
| Papua New Guinea (wd:Q691) | Papua New Guinea (en) | 6 (xsd:int)  |
| ...                        | ...                   | ...          |
| Solomon Islands (wd:Q685)  | Solomon Islands (en)  | 6 (xsd:int)  |
| Timor-Leste (wd:Q574)      | Timor-Leste (en)      | 6 (xsd:int)  |
| Timor-Leste (wd:Q574)      | Timor-Leste (en)      | 6 (xsd:int)  |
| Vanuatu (wd:Q686)          | Vanuatu (en)          | 6 (xsd:int)  |
| Vanuatu (wd:Q686)          | Vanuatu (en)          | 6 (xsd:int)  |

[Assistant] I'll run a final SPARQL query that (1) selects the distinct neighbors of Australia via P47 that are instances of either 'sovereign state' (wd:Q3624078) or 'country' (wd:Q6256), returning their IRIs and English labels, and (2) includes a subquery that computes the distinct count of such neighbors. This verifies the number of countries Australia shares a border with. I'll execute that query now.

[Tool]
Got 6 rows and 3 columns:
| neighbor                   | neighborLabel         | countryCount |
| -------------------------- | --------------------- | ------------ |
| Indonesia (wd:Q252)        | Indonesia (en)        | 6 (xsd:int)  |
| New Zealand (wd:Q664)      | New Zealand (en)      | 6 (xsd:int)  |
| Papua New Guinea (wd:Q691) | Papua New Guinea (en) | 6 (xsd:int)  |
| Solomon Islands (wd:Q685)  | Solomon Islands (en)  | 6 (xsd:int)  |
| Timor-Leste (wd:Q574)      | Timor-Leste (en)      | 6 (xsd:int)  |
| Vanuatu (wd:Q686)          | Vanuatu (en)          | 6 (xsd:int)  |

[Tool] Stopping


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 ?person ?personLabel ?dateOfDeath WHERE {
  BIND( wd:Q43347 AS ?person ) ?person wdt:P570 ?dateOfDeath .
  OPTIONAL {
    ?person rdfs:label ?personLabel FILTER ( LANG( ?personLabel ) = "en" )
  }
}

Using entities:
Rumi (wd:Q43347), also known as Jalāl ad-Dīn ar-Rūmī, Jalaladdin Rumi, Jalāl-ad-dīn Rūmī, Jalāladdīn Rūmī, Jalāl al-Dīn Muḥammad ibn Muḥammad Balkhī, etc.

Using properties:
date of death (wd:P570 as wdt), also known as date of the end, dead, death, death date, deathdate, etc.

Answer: Rumi (wd:Q43347) died on 17 December 1273 (dateOfDeath: 1273-12-17).

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

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. Search for the 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. Execute intermediate queries to get feedback and to verify your assumptions. You may need to refine or rethink your current plan based on the query results and go back to step 2 if needed, possibly multiple times.
4. Use the answer or cancel function to finalize your answer and stop the generation process.

You have access to the following knowledge graphs:
wikidata at http://localhost:7001 without notes

You are provided with the following notes across all knowledge graphs:
No notes available

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/
qlss: <https://qlever.cs.uni-freiburg.de/spatialSearch/
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 these rules:
- Explain your thought process before and after each step and function call.
- Do not just use or make up entity or property identifiers without verifying their existence in the knowledge graphs first.
- 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.
- Always execute your final SPARQL query before giving an answer to make sure it returns the expected results.
- 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.
- 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.
- 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.
- For questions with a "True" or "False" answer the SPARQL query should be an ASK query.

[User] When did Rumi die?

[Assistant] Step 1 — find the Wikidata entity for "Rumi". I will search the knowledge graph for entities matching the name "Rumi" (and related forms) to identify the correct Q‑id for Jalal ad‑Din Muhammad Rumi. I will now call the entity search.

[Tool]
Top 10 entity alternatives:
1. Rumi (wd:Q43347), also known as Jalāl ad-Dīn ar-Rūmī, Jalaladdin Rumi, Jalāl-ad-dīn Rūmī, Jalāladdīn Rūmī, Jalāl al-Dīn Muḥammad ibn Muḥammad Balkhī, etc.: has occupation Philosopher / has occupation philosopher / has occupation literary / has occupation writer / has occupation mystic / Sufi and Persian poet / has occupation ʿālim / has occupation Ulama / is instance of human / has occupation poet / Iranian poet / Iranian poet
2. Rum (wd:Q3943294, matched via Rūmī), also known as Arwām, Rūm, Rūmī: is instance of endonym / autonym
3. Rūmī (wd:Q25908371): is instance of Mercury crater / is instance of Impact crater / is instance of impact crater / crater on planet Mercury
4. Lanmewko (wd:Q109342876, matched via Rumi), also known as Rumi: has occupation Twitch streamer / is instance of fictional human / Taiwanese Virtual YouTuber / Taiwanese Virtual YouTuber / has occupation VTuber
5. Rumi (wd:Q11241326): Japanese master of ceremonies / has occupation rapper / is instance of human
6. POGLUT1 (wd:Q18042749, matched via Rumi), also known as C3orf9, CLP46, hCLP46, KDELCL1, KTELC1, etc.: protein-coding gene in the species Homo sapiens / is subclass of protein-coding gene / is instance of gene
7. Rumi (wd:Q97655647), also known as るみ: is instance of undifferentiated Japanese kana given name / is instance of female given name / Japanese female given name (るみ) / female given name / female given name
8. Rumi (wd:Q11578550): has occupation actor / is instance of human / Japanese actress / Japanese actress / Japanese actress
9. Rumi (wd:Q19949377): is instance of human
10. Rūmi (wd:Q35272866): stream in Balochistan, Pakistan / is instance of stream

[Assistant] Next I'll search for the Wikidata property corresponding to "date of death" to be sure of the property identifier before building the query.

[Tool]
Top 10 property alternatives:
1. date of death (wd:P570 as p/wdtn/pqn/pqv/wdt/prv/pr/ps/psn/prn/psv/pq), also known as date of the end, dead, death, death date, deathdate, etc.: is subproperty of dissolved, abolished or demolished date / is subproperty of dissolved, abolished or demolished / date on which the subject died / date on which the subject died / date on which the subject died / is subproperty of end time
2. date of burial or cremation (wd:P4602 as p/wdtn/pqn/pqv/wdt/prv/pr/ps/psn/prn/psv/pq, matched via date of cremation), also known as burial date, cremation date, date of cremation, funeral date, P4602: date on which the person was buried or cremated soon after death / is subproperty of point in time
3. place of death (wd:P20 as p/wdtn/pqn/pqv/wdt/prv/pr/ps/psn/prn/psv/pq), also known as death location, death place, deathplace, died, died in, etc.: most specific known (e.g. city instead of country, or ... death location of a person, animal or fictional character / most specific known (e.g. city instead of country, or ... death location of a person, animal or fictional character / most specific known (e.g. city instead of country, or ... death location of a person, animal or fictional character / is subproperty of location
4. date of disappearance (wd:P746 as p/wdtn/pqn/pqv/wdt/prv/pr/ps/psn/prn/psv/pq), also known as date of missing, disappeared, last known alive before disappearance, last seen, missing since, etc.: date or point of time a missing person was seen or otherwise known to be alive for the last time / is subproperty of end time
5. discontinued date (wd:P2669 as p/wdtn/pqn/pqv/wdt/prv/pr/ps/psn/prn/psv/pq, matched via ceased date), also known as ceased date, date discontinued, date of discontinuation, date product was discontinued, discontinuation date, etc.: date that the availability of a product or service was ... retirement" (P730) for pieces or classes of equipment / date that the availability of a product was discontinued; see also "dissolved, abolished or demolished" (P576) / is subproperty of end time
6. dissolved, abolished or demolished date (wd:P576 as p/wdtn/pqn/pqv/wdt/prv/pr/ps/psn/prn/psv/pq, matched via ceased date), also known as abolished, abolishment date, ceased date, ceased on, ceased publication, etc.: point in time at which the subject (organisation, building) ...  "discontinued date" (P2669) for stopping a product / date or point in time on which the organisation was dissolved/disappeared or the building demolished / is subproperty of end time
7. date of birth (wd:P569 as p/wdtn/pqn/pqv/wdt/prv/pr/ps/psn/prn/psv/pq), also known as birth date, birthdate, birth year, birthyear, born, etc.: is subproperty of date of foundation or creation / date on which the subject was born / date on which the subject was born / date on which the subject was born / is subproperty of inception
8. cause of death (wd:P509 as p/wdtn/pqn/pqv/wdt/prv/pr/ps/psn/prn/psv/pq, matched via died of), also known as death cause, died of, die from, die of, method of murder, etc.: underlying or immediate cause of death.  Underlying cause ... category, e.g. natural causes, accident, homicide, suicide / underlying or immediate cause of death.  Underlying cause ... category, e.g. natural causes, accident, homicide, suicide / an item describing the cause of a person or specific organism's death. Samples: leukaemia, car crash / medical cause of a person or specific organism's death (not to be confused with P1196)
9. number of deaths (wd:P1120 as p/wdtn/pqn/pqv/wdt/prv/pr/ps/psn/prn/psv/pq, matched via deaths), also known as dead, death count, death number, deaths, death toll, etc.: total (cumulative) number of people who died since start as a direct result of an event or cause / number of ALL people who died as a direct result of an event or cause / number of ALL people who died as a direct result of an event or cause
10. date of resignation (wd:P9667 as p/wdtn/pqn/pqv/wdt/prv/pr/ps/psn/prn/psv/pq), also known as official date of resignation, official resignation date, resignation date, P9667: date of official resignation of the head of a government in ... to stay in place until the formation of a new executive / is subproperty of dissolved, abolished or demolished date / is subproperty of dissolved, abolished or demolished / is subproperty of significant event

[Assistant] We have the entity wd:Q43347 for Rumi and the property wdt:P570 for date of death. I'll build a SPARQL query to get the date of death for wd:Q43347, returning the property value and optionally the rdfs:label of the subject. Then I'll execute it. I'll now construct and run the query.

[Tool]
Got 1 row and 3 columns:
| person           | personLabel | dateOfDeath                         |
| ---------------- | ----------- | ----------------------------------- |
| Rumi (wd:Q43347) | Rumi (en)   | 1273-12-17T00:00:00Z (xsd:dateTime) |

[Assistant] The query returned Rumi's date of death as 1273-12-17 (17 December 1273). I'll now prepare the final answer and include the executed SPARQL query and the result.

[Tool] Stopping


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 DISTINCT ?animal ?animalLabel WHERE {
  ?event wdt:P710 wd:Q625657 ; wdt:P710 ?animal .
  ?event wdt:P31 / wdt:P279 * ?milType .
  VALUES ?milType {
    wd:Q645883 wd:Q198 wd:Q350604
  }
  ?animal wdt:P31 wd:Q16521 .
  OPTIONAL {
    ?animal rdfs:label ?animalLabel FILTER ( LANG( ?animalLabel ) = "en" )
  }
}

Using entities:
taxon (wd:Q16521), also known as taxa, taxonomic unit
war (wd:Q198), also known as hostilities, military conflict, wars
armed conflict (wd:Q350604), also known as military conflict, power conflict
Australian Defence Force (wd:Q625657), also known as ADF, armed forces of Australia, Australian Armed Forces, mil Australia, military of Australia
military operation (wd:Q645883), also known as army action, mission, operation in military, operation (military)

Using properties:
subclass of (wd:P279 as wdt), also known as all members of this class also belong to, category of, form of, has superclass, is a class of, etc.
instance of (wd:P31 as wdt), also known as example of, has type, is a, is an, is of type, etc.
participant (wd:P710 as wdt), also known as accused, agent, attendee, belligerents, between, etc.

Answer: Emu (wd:Q93208) participated in a military operation with the Australian Defence Force (the Emu War).

Which animal participated in a military operation with the Australian Defence Force?

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

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. Search for the 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. Execute intermediate queries to get feedback and to verify your assumptions. You may need to refine or rethink your current plan based on the query results and go back to step 2 if needed, possibly multiple times.
4. Use the answer or cancel function to finalize your answer and stop the generation process.

You have access to the following knowledge graphs:
wikidata at http://localhost:7001 without notes

You are provided with the following notes across all knowledge graphs:
No notes available

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/
qlss: <https://qlever.cs.uni-freiburg.de/spatialSearch/
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 these rules:
- Explain your thought process before and after each step and function call.
- Do not just use or make up entity or property identifiers without verifying their existence in the knowledge graphs first.
- 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.
- Always execute your final SPARQL query before giving an answer to make sure it returns the expected results.
- 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.
- 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.
- 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.
- For questions with a "True" or "False" answer the SPARQL query should be an ASK query.

[User] Which animal participated in a military operation with the Australian Defence Force?

[Assistant] Step 1: I'll search for the entity for the Australian Defence Force and then look for animals that participated in military operations with it. I'll start by finding the Wikidata item for "Australian Defence Force".

[Tool]
Top 10 entity alternatives:
1. Australian Defence Force (wd:Q625657), also known as ADF, armed forces of Australia, Australian Armed Forces, mil Australia, military of Australia: combined military forces of Australia / is instance of armed forces / is instance of Armed forces
2. Australian Defence Force Academy (wd:Q371370), also known as ADFA: is instance of Government body of Australia / is instance of military academy / is instance of Staff college / is instance of staff college / staff college
3. Australian Defence Force ranks (wd:Q3113099): ranks of officers and enlisted personnel / is subclass of military rank / is subclass of Military rank
4. Australian Defence Force Ensign (wd:Q12409908): flag of the Australian Defence Force / is instance of flag
5. Australian Defence Force Cadets (wd:Q4824077), also known as ADFC, Australian Service Cadet Scheme: youth organization operated by the Australian military / is instance of youth organization / is instance of youth organisation
6. Australian Defence Force Journal: journal of Australian profession of arms (wd:Q15746503, matched via Australian defence force journal), also known as Australian defence force journal: is instance of scientific journal / journal
7. Australian Defence Force Parachuting School (wd:Q7133934), also known as Parachute Training School, PTS: is instance of Military organization / is instance of military unit / unit of the Australian Army
8. Australian Defence Force Investigative Service (wd:Q4824075): investigative arm of Australian Defence Force Police / is instance of government department / is instance of government agency
9. Australian Defence Force Helicopter School (wd:Q48817728): military unit
10. Inspector-General of the Australian Defence Force (wd:Q104871821)

[Assistant] Now I'll search for properties related to "participant in" or "military operation".

[Tool]
Top 10 property alternatives:
1. participant in (wd:P1344 as p/wdtn/pqn/pqv/wdt/prv/pr/ps/psn/prn/psv/pq), also known as attended, competed in, competes in, participant of, participant of event, etc.: event in which a person or organisation was/is a participant; inverse of P710 or P1923 / event in which a person or organization was/is a participant; inverse of P710 or P1923 / is subproperty of significant event / is subproperty of part of
2. military unit (wd:P7779 as p/wdtn/pqn/pqv/wdt/prv/pr/ps/psn/prn/psv/pq, matched via member of military unit), also known as member of military unit, unit, P7779: smallest military unit that a person is/was in / is subproperty of member of
3. conflict (wd:P607 as p/wdtn/pqn/pqv/wdt/prv/pr/ps/psn/prn/psv/pq, matched via participant in conflict), also known as battle, engagement, in action, in conflict, military conflict, etc.: battles, wars or other military engagements in which the person or item participated / battles, wars or engagements in which the person or item participated / is subproperty of participant in
4. participant (wd:P710 as p/wdtn/pqn/pqv/wdt/prv/pr/ps/psn/prn/psv/pq, matched via has participant), also known as accused, agent, attendee, belligerents, between, etc.: person, group of people or organization (object) that ... has role" (P3831). Use P1923 for participants that are teams. / person, group of people or organization that actively takes/took part in the event / is subproperty of significant person
5. has goal (wd:P3712 as p/wdtn/pqn/pqv/wdt/prv/pr/ps/psn/prn/psv/pq, matched via mission), also known as aim, aimed at, aim to, designed for, design goal, etc.: desired result or outcome / desired result or outcome / desired result or outcome
6. has use (wd:P366 as p/wdtn/pqn/pqv/wdt/prv/pr/ps/psn/prn/psv/pq, matched via mission), also known as as, can be used for, for, function, had use, etc.: main use of the subject (includes current and former usage)
7. motto text (wd:P1451 as p/wdtn/pqn/pqv/wdt/prv/pr/ps/psn/prn/psv/pq, matched via mission), also known as maxime, mission, mission statement, slogan, strapline, etc.: short motivation sentence associated to item / short motivation sentence associated to item / short motivation sentence associated to item / short motivation sentence associated to item
8. applies to part (wd:P518 as p/wdtn/pqn/pqv/wdt/prv/pr/ps/psn/prn/psv/pq, matched via involved part), also known as applied to, applies to aspect, applies to form, applies to phase, apply to, etc.: part, aspect, or form of the item to which the claim applies / part of the item for which the claim is valid / part of the item for which the claim is valid
9. participating team (wd:P1923 as p/wdtn/pqn/pqv/wdt/prv/pr/ps/psn/prn/psv/pq), also known as teams, P1923: like 'Participant' (P710) but for teams. For an event like a ... of sports team' (P54) as a qualifier for the individuals) / is subproperty of participant
10. military branch (wd:P241 as p/wdtn/pqn/pqv/wdt/prv/pr/ps/psn/prn/psv/pq), also known as branch, formation, service branch, unit branch, P241: branch to which this military unit, award, office, or person belongs, e.g. Royal Navy / is subproperty of part of

[Assistant] I'll list triples for the Australian Defence Force to find properties linking it to military operations or events.

[Tool]
Got 258 rows and 3 columns, showing the first 10 rows below:
| subject                               | property                         | object                              |
| ------------------------------------- | -------------------------------- | ----------------------------------- |
| Australian Defence Force (wd:Q625657) | instance of (wdt:P31)            | armed forces (wd:Q772547)           |
| Australian Defence Force (wd:Q625657) | country (wdt:P17)                | Australia (wd:Q408)                 |
| Australian Defence Force (wd:Q625657) | Commons category (wdt:P373)      | Australian Defence Force            |
| Australian Defence Force (wd:Q625657) | Freebase ID (wdt:P646)           | /m/0hrgd                            |
| Australian Defence Force (wd:Q625657) | inception (wdt:P571)             | 1901-01-01T00:00:00Z (xsd:dateTime) |
| Australian Defence Force (wd:Q625657) | has part(s) (wdt:P527)           | Royal Australian Navy (wd:Q741691)  |
| Australian Defence Force (wd:Q625657) | native label (wdt:P1705)         | Australian Defence Force (en)       |
| Australian Defence Force (wd:Q625657) | topic's main category (wdt:P910) | wd:Q8276210                         |
| Australian Defence Force (wd:Q625657) | Facebook username (wdt:P2013)    | defenceaustralia                    |
| Australian Defence Force (wd:Q625657) | Quora topic ID (wdt:P3417)       | Australian-Defence-Force            |
| ...                                   | ...                              | ...                                 |

[Assistant] I'll search for the Wikidata item for "animal" to use as a class filter. Then I'll look for events (military operations/conflicts) where the Australian Defence Force was a participant, and finally find animals that are also participants in those same events. I'll start by finding the "animal" item.

[Tool]
Top 10 entity alternatives:
1. animal (wd:Q729), also known as Animalia, animals, Metazoa, the animal kingdom: kingdom of multicellular eukaryotic organisms / kingdom of multicellular eukaryotic organisms / is instance of first-order class / is subclass of heterotroph / is instance of taxon
2. Animal (wd:Q547234): 2010 debut studio album by Kesha / 2010 debut studio album by Kesha / is instance of album / album by Kesha / album by Kesha
3. The Animal (wd:Q547517, matched via Animal), also known as Animal: 2001 film by Luke Greenfield / is instance of film
4. Animal (wd:Q475286), also known as L'Animal, Stuntwoman: 1977 film directed by Claude Zidi / is instance of film
5. creature (wd:Q1274979, matched via animal), also known as animal: created entity, often referring to an animal / is subclass of agent
6. Animal (wd:Q115947372): 2023 film by Sandeep Reddy Vanga / is instance of film
7. Animal (wd:Q17317998): 2014 film by Brett Simmons / is instance of film
8. Animal (wd:Q3617501): 1987 song by Def Leppard / is instance of single / Def Leppard song
9. Animal (wd:Q2531316): is instance of single / Pearl Jam song
10. Animal (wd:Q1846505): is instance of television character / has occupation drummer / has occupation Drummer / Muppet character

[Assistant] Now I'll search for events (military operations/conflicts) where the Australian Defence Force (wd:Q625657) is a participant (P1344) or participant in conflict (P607). I'll search for items with property participant (P1344) having object wd:Q625657, or conflicts where participant includes wd:Q625657.

[Tool] Got no rows and 3 columns

[Assistant] No direct uses of participant in with ADF as object. I'll instead search for events where the Australian Defence Force is listed as a participant via statements where subject is an event and has participant wd:Q625657 (P710). Search for triples with property P710 and object wd:Q625657.

[Tool]
Got 53 rows and 3 columns, showing the first 10 rows below:
| subject                                     | property               | object                                |
| ------------------------------------------- | ---------------------- | ------------------------------------- |
| Emu War (wd:Q14665)                         | participant (wdt:P710) | Australian Defence Force (wd:Q625657) |
| Cope North (wd:Q29325071)                   | participant (wdt:P710) | Australian Defence Force (wd:Q625657) |
| Exercise Talisman Sabre 2005 (wd:Q41061291) | participant (wdt:P710) | Australian Defence Force (wd:Q625657) |
| Exercise Talisman Sabre 2007 (wd:Q41061297) | participant (wdt:P710) | Australian Defence Force (wd:Q625657) |
| Exercise Talisman Sabre 2009 (wd:Q41061301) | participant (wdt:P710) | Australian Defence Force (wd:Q625657) |
| Exercise Talisman Sabre 2011 (wd:Q41061309) | participant (wdt:P710) | Australian Defence Force (wd:Q625657) |
| Exercise Talisman Sabre 2013 (wd:Q41061314) | participant (wdt:P710) | Australian Defence Force (wd:Q625657) |
| Exercise Talisman Sabre 2015 (wd:Q41061320) | participant (wdt:P710) | Australian Defence Force (wd:Q625657) |
| Exercise Talisman Sabre 2017 (wd:Q41061325) | participant (wdt:P710) | Australian Defence Force (wd:Q625657) |
| Exercise Croix du Sud 2014 (wd:Q41119473)   | participant (wdt:P710) | Australian Defence Force (wd:Q625657) |
| ...                                         | ...                    | ...                                   |

[Assistant] I'll check the Emu War item to see participants, especially whether emus are listed as participants.

[Tool]
Got 244 rows and 3 columns, showing the first 10 rows below:
| subject             | property                                                    | object                                                                        |
| ------------------- | ----------------------------------------------------------- | ----------------------------------------------------------------------------- |
| Emu War (wd:Q14665) | instance of (wdt:P31)                                       | military operation (wd:Q645883)                                               |
| Emu War (wd:Q14665) | country (wdt:P17)                                           | Australia (wd:Q408)                                                           |
| Emu War (wd:Q14665) | located in the administrative territorial entity (wdt:P131) | Western Australia (wd:Q3206)                                                  |
| Emu War (wd:Q14665) | coordinate location (wdt:P625)                              | POINT(118.486222 -31.027111) (geo:wktLiteral)                                 |
| Emu War (wd:Q14665) | Commons category (wdt:P373)                                 | Emu War                                                                       |
| Emu War (wd:Q14665) | image (wdt:P18)                                             | <http://commons.wikimedia.org/wiki/Special:FilePath/TheGreatEmuWarcolage.png> |
| Emu War (wd:Q14665) | Freebase ID (wdt:P646)                                      | /m/04p8__                                                                     |
| Emu War (wd:Q14665) | location (wdt:P276)                                         | Western Australia (wd:Q3206)                                                  |
| Emu War (wd:Q14665) | participant (wdt:P710)                                      | Emu (wd:Q93208)                                                               |
| Emu War (wd:Q14665) | start time (wdt:P580)                                       | 1932-11-01T00:00:00Z (xsd:dateTime)                                           |
| ...                 | ...                                                         | ...                                                                           |

[Assistant] I'll inspect the emu entity (wd:Q93208) to see how it's typed, so I can write a correct class filter in the SPARQL query.

[Tool]
Got 807 rows and 3 columns, showing the first 10 rows below:
| subject         | property                    | object                                                                                |
| --------------- | --------------------------- | ------------------------------------------------------------------------------------------------------- |
| Emu (wd:Q93208) | instance of (wdt:P31)       | taxon (wd:Q16521)                                                                                |
| Emu (wd:Q93208) | Commons category (wdt:P373) | Dromaius novaehollandiae                                                                                |
| Emu (wd:Q93208) | image (wdt:P18)             | <http://commons.wikimedia.org/wiki/Special:FilePath/Dromaius%20novaehollandiae%20%2829619237017%29.jpg> |
| Emu (wd:Q93208) | subclass of (wdt:P279)      | flightless bird (wd:Q865137)                                                                            |
| Emu (wd:Q93208) | Freebase ID (wdt:P646)      | /m/0k64b                                                                                |
| Emu (wd:Q93208) | parent taxon (wdt:P171)     | Dromaius (wd:Q858264)                                                                                |
| Emu (wd:Q93208) | taxon name (wdt:P225)       | Dromaius novaehollandiae                                                                                |
| Emu (wd:Q93208) | taxon rank (wdt:P105)       | species (wd:Q7432)                                                                                |
| Emu (wd:Q93208) | GBIF taxon ID (wdt:P846)    | 2495134                                                                                |
| Emu (wd:Q93208) | GND ID (wdtn:P227)          | <https://d-nb.info/gnd/4587619-8>                                                                       |
| ...             | ...                         | ...                                                                                |

[Assistant]
We have Emu as a participant in the Emu War, and Emu is clearly an animal (taxon, flightless bird). The user's question: "Which animal participated in a military operation with the Australian Defence Force?"

They likely expect "Emu" because Emu War involved emus and Australian Defence Force. To be sure, I'll build a SPARQL query that finds animals that are participants (P710) in events that also have Australian Defence Force (wd:Q625657) as participant. The query should return animal items (with their IRIs) that participated in at least one military operation where ADF was also a participant. Also ensure event is instance of military operation (wd:Q645883) or military conflict (wd:Q198). In Emu War it's instance of military operation; we'll filter events that are instance of military operation or conflict.

Plan:
- Find ?event where ?event wdt:P710 wd:Q625657.
- And ?event wdt:P710 ?animal.
- Restrict ?animal to be an animal: either subclass of taxon/animal? Emu is instance of taxon (P31 wd:Q16521) which is taxon; we want to ensure it's an animal: the class 'animal' wd:Q729. But animals in Wikidata are taxa under taxon; better to require that ?animal wdt:P279* wd:Q729? But emu is instance of taxon and subclass of flightless bird; the taxon items might not be subclass of animal. Better approach: Require ?animal wdt:P31 ?animalClass and then check that ?animalClass (or ?animal) is a subclass of animal (wd:Q729) or an instance of taxon that has parent taxon chain to Animal. But property chain is tricky.

Alternate approach: Use a broad filter: ?animal wdt:P31/wdt:P279* wd:Q729 . But emu is instance of taxon (wd:Q16521). Q16521 is 'taxon' which is not subclass of animal. So that won't link.

Maybe better check that ?animal is an instance of taxon (wd:Q16521) OR is subclass of animal or instance of animal. But the user asked "Which animal participated..." singular likely Emu. Simpler query: Select ?animal where ?event wdt:P710 wd:Q625657; ?event wdt:P710 ?animal; and ?animal wdt:P31 ?type; FILTER(?type = wd:Q93208?) No must not hardcode.

But we must ensure the returned items are animals. Emu (wd:Q93208) has instance of taxon. Taxon is Q16521. Maybe we can accept any entity that has taxon or 'animal' somewhere. We can check for ?animal wdt:P31 ?class . Then check if ?class wdt:P279* wd:Q729 OR ?class = wd:Q16521 and ?animal wdt:P279* wd:Q729? Hmm.

Let's inspect Emu's class chain: Emu (wd:Q93208) subclass of flightless bird (wd:Q865137). flightless bird likely subclass of bird etc. Is flightless bird subclass of bird which subclass of animal? Let's check chain: flightless bird (wd:Q865137) subclass of bird (wd:Q5113) subclass of vertebrate? Let's inspect.
I'll inspect the class items for Emu: find subclass chain from Emu to animal to determine a robust filter. I'll check subclass relations starting from Emu.

[Tool]
Got 230 rows and 3 columns, showing the first 10 rows below:
| subject                      | property                                      | object                                                                                |
| ---------------------------- | --------------------------------------------- | --------------------------------------------------------------------------------------------------------------- |
| flightless bird (wd:Q865137) | Commons category (wdt:P373)                   | Flightless birds                                                                                |
| flightless bird (wd:Q865137) | image (wdt:P18)                               | <http://commons.wikimedia.org/wiki/Special:FilePath/A%20book%20of%20birds%20%281908%29%20%2820209642889%29.jpg> |
| flightless bird (wd:Q865137) | subclass of (wdt:P279)                        | bird (wd:Q5113)                                                                                |
| flightless bird (wd:Q865137) | Freebase ID (wdt:P646)                        | /m/03qqnt                                                                                |
| flightless bird (wd:Q865137) | topic's main category (wdt:P910)              | wd:Q7038416                                                                                |
| flightless bird (wd:Q865137) | facet of (wdt:P1269)                          | bipedalism (wd:Q372949)                                                                                |
| flightless bird (wd:Q865137) | Quora topic ID (wdt:P3417)                    | Flightless-Birds                                                                                |
| flightless bird (wd:Q865137) | Encyclopædia Britannica Online ID (wdt:P1417) | animal/flightless-bird                                                                                |
| flightless bird (wd:Q865137) | Fandom article ID (wdt:P6262)                 | allbirdsoftheworld:Flightless_bird                                                                              |
| flightless bird (wd:Q865137) | KBpedia ID (wdtn:P8408)                       | <http://kbpedia.org/kko/rc/FlightlessBird>                                                                      |
| ...                          | ...                                           | ...                                                                                |

[Tool]
Got 1,636 rows and 3 columns, showing the first 10 rows below:
| subject         | property                    | object                                                                                |
| --------------- | --------------------------- | ---------------------------------------------------------------------------------------------- |
| bird (wd:Q5113) | instance of (wdt:P31)       | taxon (wd:Q16521)                                                                              |
| bird (wd:Q5113) | Commons category (wdt:P373) | Aves                                                                                |
| bird (wd:Q5113) | image (wdt:P18)             | <http://commons.wikimedia.org/wiki/Special:FilePath/Female%20house%20sparrow%20at%20Kodai.jpg> |
| bird (wd:Q5113) | subclass of (wdt:P279)      | Vertebrata (wd:Q25241)                                                                         |
| bird (wd:Q5113) | Freebase ID (wdt:P646)      | /m/015p6                                                                                |
| bird (wd:Q5113) | parent taxon (wdt:P171)     | Ornithurae (wd:Q3239179)                                                                       |
| bird (wd:Q5113) | taxon name (wdt:P225)       | Aves                                                                                |
| bird (wd:Q5113) | taxon rank (wdt:P105)       | class (wd:Q37517)                                                                              |
| bird (wd:Q5113) | GBIF taxon ID (wdt:P846)    | 212                                                                                |
| bird (wd:Q5113) | GND ID (wdtn:P227)          | <https://d-nb.info/gnd/4063673-2>                                                              |
| ...             | ...                         | ...                                                                                |

[Tool]
Top 10 entity alternatives:
1. war (wd:Q198, matched via military conflict), also known as hostilities, military conflict, wars: organised and prolonged violent conflict between states / organized and prolonged violent conflict between states / is instance of aspect of history / is subclass of military activity / is instance of type of conflict / is subclass of group conflict / is subclass of armed conflict / is subclass of social issue / is subclass of occurrence / is subclass of event / is subclass of era / is subclass of Era
2. armed conflict (wd:Q350604, matched via military conflict), also known as military conflict, power conflict: conflict including violence where at least one of the acting groups is a state / is subclass of warfare and armed conflicts / is instance of type of conflict
3. military conflict (wd:Q131782363): conflict waged by military rather civilian bodies / is subclass of conflict / is subclass of Conflict
4. Military Conflict: Vietnam (wd:Q122822375): 2022 early access video game / is instance of video game
5. 1917 Sino-Tibetan military conflict (wd:Q15913614): is instance of Conflict / is instance of conflict
6. Studying Leaders and Military Conflict (wd:Q129082098): is instance of scholarly article / is instance of academic article / scholarly article
7. Religion, Conflict and Military Intervention (wd:Q58534818): scholarly article by Katherine E. Brown published June 2011 in Defence Studies / is instance of scholarly article / is instance of academic article
8. Anesthesia in military conflicts (wd:Q67971824): scientific article published on 01 November 1992 / scientific article published on 1 November 1992 / is instance of scholarly article / is instance of academic article
9. Anesthesia in military conflicts (wd:Q51679725): scientific article published in November 1992 / scientific article published in November 1992 / scientific article published in November 1992 / is instance of scholarly article / is instance of academic article
10. Conflicting Conflict (wd:Q114490526): episode of The Real Housewives of Miami (S2 E9) / is instance of television series episode

[Assistant] I'll run a SPARQL query that finds events that are military operations or wars where the Australian Defence Force (wd:Q625657) was a participant, and then returns distinct participants in those events that are animals (either taxa or instances/subclasses of "animal"). I'll execute the query to verify the results.

[Tool]
Got 2 rows and 3 columns:
| animal                     | animalLabel        | event               |
| -------------------------- | ------------------ | ------------------- |
| George Pearce (wd:Q364568) | George Pearce (en) | Emu War (wd:Q14665) |
| Emu (wd:Q93208)            | Emu (en)           | Emu War (wd:Q14665) |

[Assistant] I'll inspect the George Pearce item to see why it matched the animal filter.

[Tool]
Got 230 rows and 3 columns, showing the first 10 rows below:
| subject                    | property                         | object                                                                         |
| -------------------------- | -------------------------------- | ------------------------------------------------------------------------------ |
| George Pearce (wd:Q364568) | instance of (wdt:P31)            | human (wd:Q5)                                                                  |
| George Pearce (wd:Q364568) | occupation (wdt:P106)            | politician (wd:Q82955)                                                         |
| George Pearce (wd:Q364568) | sex or gender (wdt:P21)          | male (wd:Q6581097)                                                             |
| George Pearce (wd:Q364568) | given name (wdt:P735)            | George (wd:Q15921732)                                                          |
| George Pearce (wd:Q364568) | date of birth (wdt:P569)         | 1870-01-14T00:00:00Z (xsd:dateTime)                                            |
| George Pearce (wd:Q364568) | Commons category (wdt:P373)      | George Pearce (Australian politician)                                          |
| George Pearce (wd:Q364568) | image (wdt:P18)                  | <http://commons.wikimedia.org/wiki/Special:FilePath/Sir%20George%20Pearce.jpg> |
| George Pearce (wd:Q364568) | family name (wdt:P734)           | Pearce (wd:Q15897006)                                                          |
| George Pearce (wd:Q364568) | country of citizenship (wdt:P27) | Australia (wd:Q408)                                                            |
| George Pearce (wd:Q364568) | Freebase ID (wdt:P646)           | /m/04_jbb                                                                      |
| ...                        | ...                              | ...                                                                            |

[Assistant] I'll refine the query to only accept participant items that are instances of 'taxon' (wd:Q16521), which should exclude humans and return actual animal taxa like Emu. I'll execute that query.

[Tool]
Got 1 row and 3 columns:
| animal          | animalLabel | event               |
| --------------- | ----------- | ------------------- |
| Emu (wd:Q93208) | Emu (en)    | Emu War (wd:Q14665) |

[Assistant] The query returns Emu as the animal. This answers the user's question. I'll now provide the final SPARQL query and the answer.

[Tool] Stopping


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 ?mainSubject ?mainSubjectLabel WHERE {
  wd:Q636399 wdt:P921 ?mainSubject .
  OPTIONAL {
    ?mainSubject rdfs:label ?mainSubjectLabel FILTER ( LANG( ?mainSubjectLabel ) = "en" )
  }
}

Using entities:
Smoke on the Water (wd:Q636399)

Using properties:
main subject (wd:P921 as wdt), also known as about, artistic theme, /common/topic/subject, content deals with, content describes, etc.

Got 1 row and 2 columns:
| mainSubject                    | mainSubjectLabel     |
| ------------------------------ | -------------------- |
| Montreux Casino (wd:Q81085137) | Montreux Casino (en) |

Answer: The SPARQL query returns the main subject (wdt:P921) of the song "Smoke on the Water" (wd:Q636399) as Montreux Casino (wd:Q81085137). Thus the main subject addressed in the song is the Montreux Casino.

What was the main subject addressed in the Deep Purple song “Smoke on the water”?

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

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. Search for the 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. Execute intermediate queries to get feedback and to verify your assumptions. You may need to refine or rethink your current plan based on the query results and go back to step 2 if needed, possibly multiple times.
4. Use the answer or cancel function to finalize your answer and stop the generation process.

You have access to the following knowledge graphs:
wikidata at http://localhost:7001 without notes

You are provided with the following notes across all knowledge graphs:
No notes available

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/
qlss: <https://qlever.cs.uni-freiburg.de/spatialSearch/
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 these rules:
- Explain your thought process before and after each step and function call.
- Do not just use or make up entity or property identifiers without verifying their existence in the knowledge graphs first.
- 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.
- Always execute your final SPARQL query before giving an answer to make sure it returns the expected results.
- 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.
- 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.
- 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.
- For questions with a "True" or "False" answer the SPARQL query should be an ASK query.

[User] What was the main subject addressed in the Deep Purple song “Smoke on the water”?

[Assistant] I will first search for the Wikidata item for the song "Smoke on the Water" (Deep Purple). I'll explain my thought process and then run a search query to find the entity.

[Tool]
Top 10 entity alternatives:
1. Smoke on the Water: a Tribute to Deep Purple (wd:Q3963036): album by various artists / album by various artists / album by various artists / is instance of album
2. Smoke on the Water: The Best Of (wd:Q17035790): compilation album by Deep Purple / is instance of album
3. Smoke on the Water (wd:Q636399): original song written and composed by Deep Purple; first recorded by Deep Purple / is instance of musical work/composition
4. Smoke on the Water (wd:Q3435148): compilation album by Deep Purple / is instance of album
5. Smoke On the Water & Other Hits (wd:Q5460991): compilation album by Deep Purple / is instance of album
6. Smoke on the Water (wd:Q24206648): 2014 television film directed by Dominik Graf / is instance of Television film / is instance of television film
7. Smoke on the Water / Child in Time / Woman from Tokyo (wd:Q15931285, matched via Smoke on the Water), also known as Child in Time, Smoke on the Water, Woman from Tokyo: 1977 3-track single by Deep Purple / is instance of extended play
8. Smoke on the Water (wd:Q7545910): 1943 song by Earl Nunn and Zeke Clements / is instance of musical work/composition
9. Deep Water on the Cornish Coast (wd:Q119716530): painting by Bernard Finnigan Gribble (1872–1962), Poole Museum / is instance of painting
10. Smoke on the Water (wd:Q114495787): is instance of television series episode / episode of seaQuest DSV (S3 E3)

[Assistant] I'll inspect the Wikidata item for the song to find a property that states what the song is about, such as "main subject" or "about" (P921), and verify the object. I'll search properties of the song relevant to "about" or "topic."

[Tool]
Top 10 property alternatives:
1. main subject (wd:P921 as p/wdt, matched via about), also known as about, artistic theme, /common/topic/subject, content deals with, content describes, etc.: primary topic of a work (see also P180: depicts) / primary topic of a work (see also P180: depicts) / primary topic of a work (see also P180: depicts) / is subproperty of depicts / primary topic of a work
2. part of (wd:P361 as p/wdt, matched via of), also known as assembly of, branch of, chain, collateral branch of, component of, etc.: object of which the subject is a part (if this subject is ... "has part" (P527, see also "has parts of the class" (P2670)) / object of which the subject is a part (if this subject is ... "has part" (P527, see also "has parts of the class" (P2670)) / object of which the subject is a part (if this subject is ... "has part" (P527, see also "has parts of the class" (P2670)) / object of which the subject is a part (if this subject is ... "has part" (P527, see also "has parts of the class" (P2670))
3. title (wd:P1476 as p/wdt, matched via known as), also known as article title, full title, headline, known as, name, etc.: published name of a work, such as a newspaper article, a literary work, piece of music, a website, or a performance work / published title of a work, such as a newspaper article, a literary work, a website, or a performance work / published title of a work, such as a newspaper article, a literary work, a website, or a performance work / is subproperty of name
4. instance of (wd:P31 as p/wdt, matched via is a), also known as example of, has type, is a, is an, is of type, etc.: type to which this subject corresponds/belongs. Different ... and the volcano is a type (instance) of volcanic landform / that class of which this subject is a particular example and ... a subclass of mountain (and an instance of volcanic landform)
5. publication date (wd:P577 as p/wdt, matched via issued), also known as air date, airdate, be published during, be published in, broadcast date, etc.: date or point in time when a work was first published or released / date or point in time a work is first published or released / date or point in time a work is first published or released / is subproperty of point in time
6. performer (wd:P175 as p/wdt, matched via actor), also known as actor, actress, artist, dancer, musical artist, etc.: actor, musician, band or other performer associated with this role or musical work / actor, musician, music group or other performer associated with this work / is subproperty of contributor to the creative work or subject
7. Freebase ID (wd:P646 as p/wdt, matched via Freebase), also known as FID, Freebase, Freebase identifier, MID, P646: identifier for a page in the Freebase database. Format: ... with "/g/", use Google Knowledge Graph identifier (P2671) / identifier for a page in the Freebase database. Format: ... with "/g/", use Google Knowledge Graph identifier (P2671) / identifier for a page in the Freebase database. Format: ... starting with "/g/", use Google Knowledge Graph ID (P2671)
8. lyricist (wd:P676 as p/wdt, matched via words by), also known as author, lyrics by, songwriter, text author, text by, etc.: author of song lyrics; also use P86 for music composer / is subproperty of author / author of song lyrics
9. genre (wd:P136 as p/wdt, matched via P136), also known as artistic genre, art style, film genre, genre of literature, genre of music, etc.: creative work's genre or an artist's field of work (P101). Use main subject (P921) to relate creative works to their topic / genre of a creative work or genre in which an artist works
10. language of work or name (wd:P407 as p/wdt, matched via language), also known as audio language, available in, broadcasting language, language, language of name, etc.: language associated with this creative work (such as books, ... (P103) and "languages spoken, written or signed" (P1412)) / language associated with this creative work (such as books, ... (P103) and "languages spoken, written or signed" (P1412)) / language associated with this work or name (for persons use P103 and P1412)

No other items found

[Assistant] Now I'll list the triples for the song item (wd:Q636399) for the property main subject (wdt:P921) to see what the song's main subject is set to on Wikidata.

[Tool]
Got 1 row and 3 columns:
| subject                         | property                | object                         |
| ------------------------------- | ----------------------- | ------------------------------ |
| Smoke on the Water (wd:Q636399) | main subject (wdt:P921) | Montreux Casino (wd:Q81085137) |

[Assistant] I'll run a SPARQL query to retrieve the wdt:P921 (main subject) value for the song item wd:Q636399 ("Smoke on the Water"), and include the English label for the subject. Then I'll use the result to answer the question. Now I'll execute the query.

[Tool]
Got 1 row and 2 columns:
| mainSubject                    | mainSubjectLabel     |
| ------------------------------ | -------------------- |
| Montreux Casino (wd:Q81085137) | Montreux Casino (en) |

[Assistant] I'll provide the final SPARQL query I ran and the answer based on its results. The query retrieves the main subject (wdt:P921) for the song item wd:Q636399 ("Smoke on the Water") and includes the English label for that subject.

[Tool] Stopping