PREFIX wd: <http://www.wikidata.org/entity/>
PREFIX wdt: <http://www.wikidata.org/prop/direct/>
ASK {
  wd:Q388973 wdt:P176 wd:Q157062
}

No, After Eight is not manufactured by Unilever. According to Wikidata, it is manufactured by Nestlé.

[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] Is After Eight manufactured by Unilever?

[Assistant]
Let's break down the question:

1. "After Eight" is likely a product or brand.
2. The question asks if it is manufactured by "Unilever" (a company).

Step 1: Find the entity for "After Eight".
Step 2: Find the entity for "Unilever".
Step 3: Find the property that links a product to its manufacturer.
Step 4: Write an ASK query to check if "After Eight" is manufactured by "Unilever".

Let's start by searching for the entity "After Eight".

[Tool]
Top 10 entity alternatives:
1. After Eight, also known as After Eight mint chocolate (wd:Q388973): chocolate brand of Nestle
2. Polar Bear, also known as After Eight, Peppermint Paddy (wd:Q7209010): mint chocolate cocktail
3. After Eight (wd:Q60786577): 1982 debut studio album by Taco
4. Dahlia 'Twyning's After Eight', also known as Twyning's After Eight (wd:Q83544826): Dahlia cultivar
5. 8 Man After, also known as Eightman After (wd:Q115948406): 1993 original video animation series
6. DeltaD, also known as after eight protein, delta-like protein D, dld, aei (wd:Q29825141): protein found in Danio rerio
7. Quarter After Eight (wd:Q15762559): journal
8. Twelve after Eight (wd:Q131628059): journal article from 'Journal of Medical Humanities' published in 2015
9. Chernobyl: eight years after (wd:Q56608399): scientific article published on 01 October 1994
10. After Eighty Study (wd:Q63818230): clinical trial

[Tool]
Top 10 entity alternatives:
1. Unilever (wd:Q157062): British multinational consumer goods company
2. Unilever, also known as UNVR, Unilever Tbk, Lever Zeepfabrieken N.V., PT Unilever  Tbk (wd:Q7885208): British company in
3. Unilever Headquarters, also known as Unilever, Weena 455 (wd:Q125679337): office building at Weena 455, Centrum, Rotterdam, the Netherlands
4. T.H. Estabrooks Co. Ltd., also known as Brooke Bond, Unilever (wd:Q116708935): Canadian business.
5. Hindustan Unilever, also known as Unilever (India), HUL, Hindustan Unilever Limited (wd:Q1619376): Indian consumer goods company
6. Unilever House (wd:Q2494434): grade II listed office building in City of London, United kingdom
7. Unilever Philippines, also known as Unilever (Philippines) (wd:Q18159894): Philippine subsidiary of Unilever
8. Unilever Pakistan, also known as Unilever Pakistan Limited (wd:Q7885211): Pakistani subsidiary of a foreign company
9. Unilever Gloucester, also known as Walls Ice Cream Factory (wd:Q96412295): food manufacturing site in Gloucester, England, UK
10. Unilever (Bydgoszcz) (wd:Q25415517): business enterprise

[Tool]
Top 10 property alternatives:
1. manufacturer, also known as manufactured by, provider, provided by, product of, producer (wd:P176 as pr/prn/ps/pqn/p/pqv/pq/psn/prv/wdtn/psv/wdt): (main or final) manufacturer or producer of this product
2. product or material produced, also known as products, product or service provided, product, material, or service produced or provided, product, producer of (wd:P1056 as pr/prn/ps/pqn/p/pqv/pq/psn/prv/wdtn/psv/wdt): material or product produced or sold by an organization, industry, facility, or process, material or product produced by an organization, industry, facility, or process, immediate cause of
3. product, material, or service produced or provided, also known as products, product or service provided, product, material, or service produced or provided, product, output (wd:P1056 as pr/prn/ps/pqn/p/pqv/pq/psn/prv/wdtn/psv/wdt): material or product produced or sold by an organization, industry, facility, or process, material or product produced by an organization, industry, facility, or process, immediate cause of
4. location of creation, also known as manufactured in, manufacturing location, mint, minted at, photographed at (wd:P1071 as pr/prn/ps/pqn/p/pqv/pq/psn/prv/wdtn/psv/wdt): place where the item was conceived or made; where applicable, location of final assembly, significant place
5. made from material, also known as material used, manufactured out of, manufactured from, made of material, made of (wd:P186 as pr/prn/ps/pqn/p/pqv/pq/psn/prv/wdtn/psv/wdt): material the subject or the object is made of or derived from (do not confuse with P10672 which is used for processes), uses
6. creator, also known as created by, visual artist, sculptor, sculpted by, realized by (wd:P170 as pr/prn/ps/pqn/p/pqv/pq/psn/prv/wdtn/psv/wdt): maker of this creative work or other object (where no more specific property exists)
7. fabrication method, also known as process used, method of cooking, preparation method, obtained by, method used (wd:P2079 as pr/prn/ps/pqn/p/pqv/pq/psn/prv/wdtn/psv/wdt): method, process or technique used to grow, cook, weave, build, assemble, manufacture the item, uses
8. brand, also known as main brand (wd:P1716 as pr/prn/ps/pqn/p/pqv/pq/psn/prv/wdtn/psv/wdt): commercial brand associated with the item
9. author, also known as writer, written by, poet, playwright, maker (wd:P50 as pr/prn/ps/pqn/p/pqv/pq/psn/prv/wdtn/psv/wdt): main creator(s) of a written work (use on works, not humans); us...hor name string) when Wikidata item is unknown or does not exist, creator
10. serial number, also known as s/n, serial code, MSN, manufacturer serial number, construction number (wd:P2598 as pr/prn/ps/pqn/p/pqv/pq/psn/prv/wdtn/psv/wdt): an identifier for a specific object among the same product. Not a product code or model number

[Tool] False

[Tool]
Got 1 row and 1 column:
| manufacturer        |
| ------------------- |
| Nestlé (wd:Q160746) |

[Tool] Stopped generation process

[User]
Feedback (status=done):
The output is correct and complete. The SPARQL query is an ASK query, as required for a True/False question, and directly checks if After Eight (wd:Q388973) is manufactured by Unilever (wd:Q157062) using the manufacturer property (wdt:P176). The answer and explanation are accurate and match the query result. No further refinement is needed.


PREFIX rdfs: <http://www.w3.org/2000/01/rdf-schema#>
PREFIX wd: <http://www.wikidata.org/entity/>
PREFIX wdt: <http://www.wikidata.org/prop/direct/>
SELECT ?business ?businessLabel WHERE {
  ?business wdt:P112 wd:Q317521 .
  OPTIONAL {
    ?business rdfs:label ?businessLabel .
    FILTER ( LANG( ?businessLabel ) = "en" )
  }
}

Got 14 rows and 2 columns, showing the first 5 and last 5 rows below:
| business                                                | businessLabel                                |
| ------------------------------------------------------- | -------------------------------------------- |
| Texas Institute of Technology & Science (wd:Q109332244) | Texas Institute of Technology & Science (en) |
| Thud (wd:Q115815194)                                    | Thud (en)                                    |
| X Corp. (wd:Q117617480)                                 | X Corp. (en)                                 |
| X Holdings Corp (wd:Q117705742)                         | X Holdings Corp (en)                         |
| xAI (wd:Q120599684)                                     | xAI (en)                                     |
| ...                                                     | ...                                          |
| Zip2 (wd:Q28222602)                                     | Zip2 (en)                                    |
| The Boring Company (wd:Q28874479)                       | The Boring Company (en)                      |
| Neuralink (wd:Q29043471)                                | Neuralink (en)                               |
| X.com (wd:Q30686532)                                    | X.com (en)                                   |
| PayPal (wd:Q483959)                                     | PayPal (en)                                  |

The businesses founded by the person in charge of Tesla (Elon Musk) are: Texas Institute of Technology & Science, Thud, X Corp., X Holdings Corp, xAI, Zip2, The Boring Company, Neuralink, X.com, PayPal, SpaceX, OpenAI, and others as listed in the query result.

[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] Which businesses are founded by the person in charge of Tesla?

[Assistant]
Let's break down the question:

1. "Person in charge of Tesla" refers to the current CEO or leader of Tesla.
2. We need to find businesses (companies) that are founded by this person.

Step 1: Identify the entity for Tesla.
Step 2: Find the property for "person in charge" (likely CEO or similar).
Step 3: Find the entity for that person.
Step 4: Find businesses founded by that person.

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

[Tool]
Top 10 entity alternatives:
1. Nikola Tesla, also known as Tesla, Nicola Tesla (wd:Q9036): Serbian-American inventor (1856–1943), mechanical engineer, electrical engineer, electrician, physicist, futurist, inventor
2. Tesla, Inc., also known as Tesla, Tesla Inc. (wd:Q478214): American automotive, energy storage and solar power company
3. tesla, also known as T (wd:Q163343): SI unit of magnetic flux density
4. Tesla (wd:Q1428953): American hard rock band
5. Nvidia Tesla, also known as NVidia Tesla, NVIDIA Tesla, Tesla (wd:Q16258100): Nvidia's brand name for their products targeting stream processing and/or general purpose GPU
6. Tesla (wd:Q88053410): 2020 film directed by Michael Almereyda
7. Tesla (wd:Q2406220): lunar crater
8. Tesla, also known as TESLA, Tesla (Czech Republic) (wd:Q1548225): Czech manufacturer of electronical and electrical equipment (est.1991)
9. Tesla, also known as NVIDIA Tesla, Nvidia Tesla, NVidia Tesla (wd:Q1050485): GPU microarchitecture designed by NVIDIA
10. Tesla, also known as Tesla, West Virginia, Tesla, WV (wd:Q7705502): unincorporated community in Braxton County, West Virginia

[Assistant]
The relevant entity for Tesla the company is wd:Q478214 (Tesla, Inc.).

Next, I need to find the property that indicates the "person in charge" of a company, such as CEO or similar leadership roles. I'll search for properties related to "CEO" or "head of" for companies.

[Tool]
Top 10 property alternatives:
1. chief executive officer, also known as executive director, CEO, chief executive (wd:P169 as p/wdt): highest-ranking corporate officer appointed as the CEO within an organization, director / manager, corporate officer
2. chairperson, also known as dean, headed by, leader, president, chairwoman (wd:P488 as p/wdt): presiding member of an organization, group or body, director / manager, significant person
3. founded by, also known as starter, co-founded by, started by, institutor, instituted by (wd:P112 as p/wdt): founder or co-founder of this organization, religion, place or entity, creator
4. board member, also known as member of the board, member of the board of directors (wd:P3320 as p/wdt): member(s) of the board for the organization
5. headquarters location, also known as headquarters locality, seat, headquarters town, HQ, HQ location (wd:P159 as p/wdt): city or town where an organization's headquarters is or has been situated. Use P276 qualifier for specific building, significant place
6. owned by, also known as belongs to, stockholders, stockholder, shareholders, shareholder (wd:P127 as p/wdt): owner of the subject
7. inception, also known as initial release date, founded in, founded on, founded on date, founding date (wd:P571 as p/wdt): time when an entity begins to exist; for date of official opening use P1619, start time
8. owner of, also known as owns, owns property, shareholder of (wd:P1830 as p/wdt): entities owned by the subject
9. country of origin, also known as origin country, place of origin, originates from, country, CoO (wd:P495 as p/wdt): country of origin of this item (creative work, food, phrase, product, etc.), significant place, country
10. has subsidiary, also known as subordinate body, subsidiary body, subordinate unit, subsidiary, subsidiary company (wd:P355 as p/wdt): subsidiary of a company or organization; generally a fully owned...siness division" (P199). Opposite of parent organization (P749)., has part(s), owner of

No other items found

[Assistant] The property for "chief executive officer" (CEO) is wd:P169. I will now check who is the current CEO of Tesla, Inc. (wd:Q478214) using this property.

[Tool]
Got 1 row and 3 columns:
| subject                  | property                           | object                 |
| ------------------------ | ---------------------------------- | ---------------------- |
| Tesla, Inc. (wd:Q478214) | chief executive officer (wdt:P169) | Elon Musk (wd:Q317521) |

[Assistant]
The current CEO of Tesla, Inc. is Elon Musk (wd:Q317521).

Next, I need to find businesses (companies) founded by Elon Musk. The property for "founded by" is wd:P112. I will search for entities where Elon Musk is the founder.

[Tool]
Got 14 rows and 3 columns, showing the first 10 rows below:
| subject                           | property              | object                 |
| --------------------------------- | --------------------- | ---------------------- |
| SpaceX (wd:Q193701)               | founded by (wdt:P112) | Elon Musk (wd:Q317521) |
| PayPal (wd:Q483959)               | founded by (wdt:P112) | Elon Musk (wd:Q317521) |
| OpenAI (wd:Q21708200)             | founded by (wdt:P112) | Elon Musk (wd:Q317521) |
| Neuralink (wd:Q29043471)          | founded by (wdt:P112) | Elon Musk (wd:Q317521) |
| The Boring Company (wd:Q28874479) | founded by (wdt:P112) | Elon Musk (wd:Q317521) |
| X Corp. (wd:Q117617480)           | founded by (wdt:P112) | Elon Musk (wd:Q317521) |
| X.com (wd:Q30686532)              | founded by (wdt:P112) | Elon Musk (wd:Q317521) |
| xAI (wd:Q120599684)               | founded by (wdt:P112) | Elon Musk (wd:Q317521) |
| Zip2 (wd:Q28222602)               | founded by (wdt:P112) | Elon Musk (wd:Q317521) |
| Thud (wd:Q115815194)              | founded by (wdt:P112) | Elon Musk (wd:Q317521) |
| ...                               | ...                   | ...                    |

[Tool]
Got 14 rows and 1 column, showing the first 5 and last 5 rows below:
| business                                                |
| ------------------------------------------------------- |
| Texas Institute of Technology & Science (wd:Q109332244) |
| Thud (wd:Q115815194)                                    |
| X Corp. (wd:Q117617480)                                 |
| X Holdings Corp (wd:Q117705742)                         |
| xAI (wd:Q120599684)                                     |
| ...                                                     |
| Zip2 (wd:Q28222602)                                     |
| The Boring Company (wd:Q28874479)                       |
| Neuralink (wd:Q29043471)                                |
| X.com (wd:Q30686532)                                    |
| PayPal (wd:Q483959)                                     |

[Tool]
Got 14 rows and 2 columns, showing the first 5 and last 5 rows below:
| business                                                | businessLabel                                |
| ------------------------------------------------------- | -------------------------------------------- |
| Texas Institute of Technology & Science (wd:Q109332244) | Texas Institute of Technology & Science (en) |
| Thud (wd:Q115815194)                                    | Thud (en)                                    |
| X Corp. (wd:Q117617480)                                 | X Corp. (en)                                 |
| X Holdings Corp (wd:Q117705742)                         | X Holdings Corp (en)                         |
| xAI (wd:Q120599684)                                     | xAI (en)                                     |
| ...                                                     | ...                                          |
| Zip2 (wd:Q28222602)                                     | Zip2 (en)                                    |
| The Boring Company (wd:Q28874479)                       | The Boring Company (en)                      |
| Neuralink (wd:Q29043471)                                | Neuralink (en)                               |
| X.com (wd:Q30686532)                                    | X.com (en)                                   |
| PayPal (wd:Q483959)                                     | PayPal (en)                                  |

[Tool] Stopped generation process

[User]
Feedback (status=done):
The SPARQL query correctly retrieves all businesses founded by Elon Musk (the person in charge of Tesla) by using the appropriate property (wdt:P112) and the correct entity (wd:Q317521). The query returns the IRIs of the businesses as required, and the labels are included optionally. The answer is accurate and complete according to the knowledge graph. No further refinement is necessary.


PREFIX rdfs: <http://www.w3.org/2000/01/rdf-schema#>
PREFIX wd: <http://www.wikidata.org/entity/>
PREFIX wdt: <http://www.wikidata.org/prop/direct/>
SELECT ?genre ?label ( STRLEN( ?label ) AS ?length ) WHERE {
  wd:Q68061 wdt:P136 ?genre .
  ?genre rdfs:label ?label .
  FILTER ( LANG( ?label ) = "en" )
}
ORDER BY ?length
LIMIT 1

The genre that Cage the Elephant belongs to with the fewest English characters is 'blues' (5 characters).

[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] Which genre that Cage the Elephant belongs to has the fewest english characters?

[Assistant]
Let's break down the question:

1. We need to identify the entity "Cage the Elephant" in Wikidata.
2. We need to find all genres ("genre" property) that "Cage the Elephant" belongs to.
3. For each genre, we need to get its English label and count the number of English characters.
4. We need to select the genre with the fewest English characters in its label.

Let's proceed step by step.

First, let's search for "Cage the Elephant" in Wikidata to get its entity ID.

[Tool]
Top 10 entity alternatives:
1. Cage the Elephant (wd:Q68061): American rock band from Bowling Green, Kentucky
2. Cage the Elephant (wd:Q1950243): debut album by the American rock band Cage the Elephant
3. The Cage, also known as Cage, Cage, The, Pilot: The Cage (wd:Q20909): 1986 episode of Star Trek: The Original Series directed by Robert Butler
4. The Cage, also known as La Cage (wd:Q3206978): 1975 film by Pierre Granier-Deferre
5. The Cage, also known as Cage (wd:Q41016691): 2017 film by Akram Khan
6. The Cage, also known as Cage, La Cage (wd:Q7720935): 1963 film by Robert Darène
7. West Fourth Street Courts, also known as West 4th Street Courts, The Cage (wd:Q7985184): athletic venue in Manhattan, New York
8. The Cage (wd:Q3520180): album by Tygers of Pan Tang
9. The Elephant (wd:Q31645050): hill in New Zealand
10. The Cage, also known as Colivia (wd:Q29581150): Romanian film

[Assistant]
The correct entity for the band "Cage the Elephant" is wd:Q68061.

Next, we need to find the genres associated with this band. In Wikidata, the property for genre is typically "genre" (likely wdt:P136). Let's confirm this by searching for the "genre" property.

[Tool]
Top 10 property alternatives:
1. radio format, also known as format, radio station format, genre (wd:P415 as pr/prn/ps/pqn/p/pqv/pq/psn/prv/wdtn/psv/wdt): describes the overall content broadcast on a radio station
2. genre, also known as genre of music, type of music, type of film, music genre, literary genre (wd:P136 as pr/prn/ps/pqn/p/pqv/pq/psn/prv/wdtn/psv/wdt): creative work's genre or an artist's field of work (P101). Use main subject (P921) to relate creative works to their topic
3. subclass of, also known as rdfs:subClassOf, sort of, subcategory of, subgenre of, subtype of (wd:P279 as pr/prn/ps/pqn/p/pqv/pq/psn/prv/wdtn/psv/wdt): this item is a subclass (subset) of that item; ALL instances of ...stance of volcanic landform); Everest is an instance of mountain
4. form of creative work, also known as work type, work form, type of work, artform, type of reference work (wd:P7937 as pr/prn/ps/pqn/p/pqv/pq/psn/prv/wdtn/psv/wdt): structure of a creative work
5. Every Noise at Once ID, also known as Spotify genre, Every Noise at Once identifier, everynoise.com identifier (wd:P9881 as pr/prn/ps/pqn/p/pqv/pq/psn/prv/wdtn/psv/wdt): identifier of a music genre, style, or scene on the Every Noise at Once website
6. MusicBrainz genre ID, also known as MB genre ID (wd:P8052 as pr/prn/ps/pqn/p/pqv/pq/psn/prv/wdtn/psv/wdt): identifier for a genre on the MusicBrainz open music encyclopedia
7. for color scheme, also known as color mode, uses colour scheme, uses color scheme, theme, prefers colour scheme (wd:P8798 as pr/prn/ps/pqn/p/pqv/pq/psn/prv/wdtn/psv/wdt): which color scheme this statement is designed for
8. based on, also known as modelled after, inspired by, iteration of, modeled after, fork of (wd:P144 as pr/prn/ps/pqn/p/pqv/pq/psn/prv/wdtn/psv/wdt): the work(s) or inputs used as the basis for subject item; for fictional analog use P1074, references work, tradition or theory, inspired by
9. main subject, also known as primary topic, primary subject, primary keyword, plot keyword, of (wd:P921 as pr/prn/ps/pqn/p/pqv/pq/psn/prv/wdtn/psv/wdt): primary topic of a work (see also P180: depicts), depicts
10. AllMusic genre/style ID, also known as AllMusic style identifier, AllMusic theme identifier, AllMusic theme ID, AllMusic style ID, AllMusic style/genre ID (wd:P9185 as pr/prn/ps/pqn/p/pqv/pq/psn/prv/wdtn/psv/wdt): ID of a music genre or style in AllMusic

[Assistant]
The correct property for genre is wdt:P136.

Now, let's list the genres (wdt:P136) for "Cage the Elephant" (wd:Q68061).

[Tool]
Got 6 rows and 3 columns:
| subject                       | property         | object                        |
| ----------------------------- | ---------------- | ----------------------------- |
| Cage the Elephant (wd:Q68061) | genre (wdt:P136) | blues (wd:Q9759)              |
| Cage the Elephant (wd:Q68061) | genre (wdt:P136) | punk rock (wd:Q3071)          |
| Cage the Elephant (wd:Q68061) | genre (wdt:P136) | alternative rock (wd:Q11366)  |
| Cage the Elephant (wd:Q68061) | genre (wdt:P136) | indie rock (wd:Q183504)       |
| Cage the Elephant (wd:Q68061) | genre (wdt:P136) | psychedelic rock (wd:Q206159) |
| Cage the Elephant (wd:Q68061) | genre (wdt:P136) | garage rock (wd:Q211573)      |

[Assistant]
We have identified the following genres for "Cage the Elephant":
- blues (wd:Q9759)
- punk rock (wd:Q3071)
- alternative rock (wd:Q11366)
- indie rock (wd:Q183504)
- psychedelic rock (wd:Q206159)
- garage rock (wd:Q211573)

Next, we need to get the English labels for each of these genres and count the number of English characters in each label. Then, we will select the genre with the fewest English characters.

Let's write a SPARQL query that retrieves the English label for each genre and calculates the length of the label, then orders by length ascending and returns the genre with the shortest label.

[Tool]
Got 1 row and 3 columns:
| genre            | label      | length      |
| ---------------- | ---------- | ----------- |
| blues (wd:Q9759) | blues (en) | 5 (xsd:int) |

[Tool] Stopped generation process

[User]
Feedback (status=refine):
The answer is correct given the provided list of genres and their English labels. However, the SPARQL query uses a hardcoded list of genre IRIs for Cage the Elephant, rather than dynamically retrieving all genres associated with the band from Wikidata. This approach may miss genres if the band's Wikidata entry is updated or contains more genres. The query should first find all genres linked to Cage the Elephant and then select the one with the shortest English label. Please refine the query to dynamically retrieve the genres from the band's Wikidata entry.

[Assistant]
Thank you for the feedback. You are correct: the query should dynamically retrieve all genres associated with "Cage the Elephant" (wd:Q68061) rather than using a hardcoded list.

Here's my plan:
1. Query all genres linked to wd:Q68061 via wdt:P136.
2. For each genre, get its English label.
3. Calculate the length of the English label.
4. Return the genre with the shortest label.

I will now write and execute a refined SPARQL query that implements this approach.

[Tool]
Got 1 row and 3 columns:
| genre            | label      | length      |
| ---------------- | ---------- | ----------- |
| blues (wd:Q9759) | blues (en) | 5 (xsd:int) |

[Tool] Stopped generation process

[User]
Feedback (status=done):
The SPARQL query correctly retrieves all genres associated with Cage the Elephant, filters for English labels, computes the length of each label, and selects the one with the fewest characters. The answer and the query both match the user's request, and the query returns the actual IRI of the genre. No further refinement is needed.


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 ?period ?periodLabel ?start WHERE {
  wd:Q56274847 wdt:P2348 ?period .
  OPTIONAL {
    ?period wdt:P580 ?start
  }
  OPTIONAL {
    ?period rdfs:label ?periodLabel FILTER ( LANG( ?periodLabel ) = "en" )
  }
}

The first sperm whales (including extinct macroraptorial sperm whales) are known from the Miocene epoch, which began about 23 million years ago.

[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] When did the first sperm whales exist?

[Assistant]
Let's break down the question:

1. The user is asking about the time period when the first sperm whales existed.
2. We need to identify the entity for "sperm whale" and find properties related to its first appearance or origin in the fossil record.

Step 1: Search for the entity "sperm whale" in Wikidata.

[Tool]
Top 10 entity alternatives:
1. sperm whale, also known as cachalot, Physeter macrocephalus (wd:Q81214): largest species of toothed whale
2. Sperm Whale, also known as Nahang-e-Anbar (wd:Q20111251): 2015 film directed by Saman Moghadam
3. Sperm whale (wd:Q115479916): water colour painting of a sperm whale
4. sperm whale, also known as cachalot (wd:Q113680749): fictional monster from Dungeons & Dragons
5. sperm whale (wd:L591643-S1)
6. pygmy sperm whale, also known as Kogia breviceps (wd:Q244300): species of mammal
7. dwarf sperm whale, also known as Kogia sima (wd:Q42669): species of mammal
8. macroraptorial sperm whale, also known as raptorial sperm whale (wd:Q56274847): highly predatory whales of the sperm whale superfamily (Physeteroidea) of the Miocene epoch
9. Sperm Whale Head (wd:Q21903224): point in Australia
10. High-finned sperm whale, also known as high-finned cachalot (wd:Q99565665): species of whale (Cryptid)

[Assistant]
The main entity for the sperm whale (the living species) is wd:Q81214 (Physeter macrocephalus). There are also related extinct groups, such as macroraptorial sperm whales (wd:Q56274847), but the question is about the first existence of sperm whales in general.

Next, I need to find a property that indicates the "first appearance" or "first existence" of a taxon, such as "first appearance," "fossil range," or "extinction" (for the earliest date).

Step 2: Search for properties related to "first appearance" or "fossil range" for the entity wd:Q81214.

[Tool]
Top 10 property alternatives:
1. start time, also known as start date, since, valid, join time, joined (wd:P580 as wdt/p): time an entity begins to exist or a statement starts being valid, point in time
2. 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
3. short name, also known as short title, shortname, abbreviation, shortened name, initialism (wd:P1813 as wdt/p): short name of a place, organisation, person, journal, wikidata property, etc. Used by some Wikipedia templates., name
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. 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)
6. named after, also known as toponym, namesake, named in honor of, named for, etymology (wd:P138 as wdt/p): entity or event that inspired the subject's name, or namesake (i...fier "applies to name" (P5168) can be used to indicate which one
7. subclass of, also known as rdfs:subClassOf, sort of, subcategory of, subgenre of, subtype of (wd:P279 as wdt/p): this item is a subclass (subset) of that item; ALL instances of ...stance of volcanic landform); Everest is an instance of mountain
8. taxon rank, also known as taxonomic rank, type of taxon, rank (wd:P105 as wdt/p): level in a taxonomic hierarchy, instance of
9. 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)
10. 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 wdt/wdtn/p): identifier for an object or topic in the Microsoft Academic Graph (until 31 December 2021)

No other items found

[Tool]
Top 10 property alternatives:
1. taxon range, also known as geographic range of taxon, taxon geographic range, range of taxon, range, geographic range (wd:P9714 as wdt/p): geographic area(s) where a taxon is found
2. taxon range map image, also known as distribution map (taxa), spread map, range map, occurrence data map (wd:P181 as wdt/p): range map of a taxon, image
3. main food source, also known as diet, eats, ecology (Fossilworks field  name), food plant, food source (wd:P1034 as wdt/p): species, genus or family that an organism depends on for nutrition
4. Fossilworks taxon ID (wd:P842 as wdt/p): identifier for an animal, plant, or microorganism in the Fossilworks database
5. Paleobiology Database taxon ID, also known as PaleoBioDB ID, PaleoDB ID, PBDB ID (wd:P10907 as wdt/p): identifier for a fossil taxon in the Paleobiology Database
6. iNaturalist taxon ID (wd:P3151 as wdt/p): identifier in iNaturalist
7. taxon rank, also known as taxonomic rank, type of taxon, rank (wd:P105 as wdt/p): level in a taxonomic hierarchy, instance of
8. taxon name, also known as correct name (ICNafp), Latin name of a taxon (deprecated), scientific name of a taxon, taxonomic name, valid name (ICZN) (wd:P225 as wdt/p): correct scientific name of a taxon (according to the reference given)
9. parent taxon, also known as higher taxon, taxon parent (wd:P171 as wdt/p): closest parent taxon of the taxon in question, subclass of
10. ADW taxon ID, also known as Animal Diversity Web taxon ID (wd:P4024 as wdt/p): identifier for a taxon in the Animal Diversity Web database

No other items found

[Tool]
Top 10 property alternatives:
1. IUCN conservation status, also known as conservation status (wd:P141 as wdt/p): conservation status assigned by the International Union for Conservation of Nature
2. IUCN taxon ID, also known as IUCN Red List ID (wd:P627 as wdt/p): identifier for a taxon in the International Union for Conservation of Nature database; source for conservation status (P141)
3. parent taxon, also known as higher taxon, taxon parent (wd:P171 as wdt/p): closest parent taxon of the taxon in question, subclass of
4. taxon name, also known as correct name (ICNafp), Latin name of a taxon (deprecated), scientific name of a taxon, taxonomic name, valid name (ICZN) (wd:P225 as wdt/p): correct scientific name of a taxon (according to the reference given)
5. taxon rank, also known as taxonomic rank, type of taxon, rank (wd:P105 as wdt/p): level in a taxonomic hierarchy, instance of
6. taxon range, also known as geographic range of taxon, taxon geographic range, range of taxon, range, geographic range (wd:P9714 as wdt/p): geographic area(s) where a taxon is found
7. this taxon is source of, also known as this taxon is the source of, this taxon is a source of, natural product, taxon is source of, secretes (wd:P1672 as wdt/p): links a taxon to natural products it produces. Note that it does...s may vary. Some products may be yielded by more than one taxon.
8. NZTCS conservation status, also known as New Zealand Threat Classification System conservation status (wd:P9888 as wdt/p): the conservation status from the New Zealand Threat Classification System assigned by the New Zealand Department of Conservation
9. Species at Risk public registry ID (wd:P6019 as wdt/p): identifier for a taxon on the Canadian 'Species at Risk' public registry website
10. Paleobiology Database taxon ID, also known as PaleoBioDB ID, PaleoDB ID, PBDB ID (wd:P10907 as wdt/p): identifier for a fossil taxon in the Paleobiology Database

No other items found

[Tool]
Top 10 property alternatives:
1. first appearance, also known as debut, present initially in, introduced in work, initial appearance, first film (wd:P4584 as prv/ps/wdt/wdtn/p/psv/pq/pqv/prn/psn/pqn/pr): work in which a fictional/mythical character or entity first appeared, present in work
2. debut participant, also known as debut country, first-time participant, first appearance for (wd:P2318 as prv/ps/wdt/wdtn/p/psv/pq/pqv/prn/psn/pqn/pr): participant for whom this is their debut appearance in a series of events
3. work period (start), also known as start working, flourished (start), start time for work, start date of activity, fl. (start) (wd:P2031 as prv/ps/wdt/wdtn/p/psv/pq/pqv/prn/psn/pqn/pr): start of period during which a person or group flourished (fl. = "floruit") in their professional activity, start time, floruit
4. introduced in, also known as added in, introduced by, first published in, first appeared in (wd:P10695 as prv/ps/wdt/wdtn/p/psv/pq/pqv/prn/psn/pqn/pr): work that introduced this concept
5. inception, also known as initial release date, founded in, founded on, founded on date, founding date (wd:P571 as prv/ps/wdt/wdtn/p/psv/pq/pqv/prn/psn/pqn/pr): time when an entity begins to exist; for date of official opening use P1619, start time
6. publication date, also known as launched, published, publication time, publication, pubdate (wd:P577 as prv/ps/wdt/wdtn/p/psv/pq/pqv/prn/psn/pqn/pr): date or point in time when a work was first published or released, point in time
7. time of earliest written record, also known as date of first written record, earliest record, first attestation, first attested, first historic record (wd:P1249 as prv/ps/wdt/wdtn/p/psv/pq/pqv/prn/psn/pqn/pr): first time a subject was mentioned in writing
8. number of matches played/races/starts, also known as gp, starts, races, number of games played, mp (wd:P1350 as prv/ps/wdt/wdtn/p/psv/pq/pqv/prn/psn/pqn/pr): matches or games a player or a team played during an event. Also...matches a player officially appeared in during the whole career.
9. introduced on, also known as bill introduced on, introduction date, introduced date (wd:P9448 as prv/ps/wdt/wdtn/p/psv/pq/pqv/prn/psn/pqn/pr): date when a bill was introduced into a legislature, inception
10. first performance by, also known as first performed by, premiered by, world premiere by, world premiere performed by, world premier performance by (wd:P11849 as prv/ps/wdt/wdtn/p/psv/pq/pqv/prn/psn/pqn/pr): performer or performing group for the first performance of a work

[Tool]
Top 10 property alternatives:
1. taxon range, also known as geographic range of taxon, taxon geographic range, range of taxon, range, geographic range (wd:P9714 as prv/ps/wdt/wdtn/p/psv/pq/pqv/prn/psn/pqn/pr): geographic area(s) where a taxon is found
2. temporal range end, also known as geologic time frame end, geologic time range end (wd:P524 as prv/ps/wdt/wdtn/p/psv/pq/pqv/prn/psn/pqn/pr): the end of a process such as a geological unit or extinction of a life form relative to the geologic time scale, end time
3. temporal range start, also known as geochronologic start, geologic time range start (wd:P523 as prv/ps/wdt/wdtn/p/psv/pq/pqv/prn/psn/pqn/pr): the start of a process or appearance of a life form or geological unit relative to the geologic time scale, start time
4. taxon range map image, also known as distribution map (taxa), spread map, range map, occurrence data map (wd:P181 as prv/ps/wdt/wdtn/p/psv/pq/pqv/prn/psn/pqn/pr): range map of a taxon, image
5. image of function, also known as function range, image, range, function image (wd:P2396 as prv/ps/wdt/wdtn/p/psv/pq/pqv/prn/psn/pqn/pr): set of values that a mathematical function actually takes
6. codomain, also known as codomain of a function, function codomain, range, to (wd:P1571 as prv/ps/wdt/wdtn/p/psv/pq/pqv/prn/psn/pqn/pr): codomain of a function
7. vehicle range, also known as operational range, range, maximum range (wd:P2073 as prv/ps/wdt/wdtn/p/psv/pq/pqv/prn/psn/pqn/pr): distance a vehicle can travel without refuelling, length
8. mountain range, also known as system of mountains, hill range, range, parent range, mountain system (wd:P4552 as prv/ps/wdt/wdtn/p/psv/pq/pqv/prn/psn/pqn/pr): range or subrange to which the geographical item belongs, geomorphological unit
9. fossil found in this unit (wd:P1137 as prv/ps/wdt/wdtn/p/psv/pq/pqv/prn/psn/pqn/pr): fossils that are found in this stratigraphic unit
10. main food source, also known as diet, eats, ecology (Fossilworks field  name), food plant, food source (wd:P1034 as prv/ps/wdt/wdtn/p/psv/pq/pqv/prn/psn/pqn/pr): species, genus or family that an organism depends on for nutrition

[Tool]
Got 793 rows and 3 columns, showing the first 10 rows below:
| subject                 | property                                       | object                                                                                |
| ----------------------- | ---------------------------------------------- | -------------------------------------------------------------------------------------------- |
| sperm whale (wd:Q81214) | instance of (wdt:P31)                          | taxon (wd:Q16521)                                                                            |
| sperm whale (wd:Q81214) | Commons category (wdt:P373)                    | Physeter macrocephalus                                                                       |
| sperm whale (wd:Q81214) | image (wdt:P18)                                | <http://commons.wikimedia.org/wiki/Special:FilePath/Mother%20and%20baby%20sperm%20whale.jpg> |
| sperm whale (wd:Q81214) | subclass of (wdt:P279)                         | whale (wd:Q1865281)                                                                          |
| sperm whale (wd:Q81214) | parent taxon (wdt:P171)                        | Physeter (wd:Q3382003)                                                                       |
| sperm whale (wd:Q81214) | taxon name (wdt:P225)                          | Physeter macrocephalus                                                                       |
| sperm whale (wd:Q81214) | taxon rank (wdt:P105)                          | species (wd:Q7432)                                                                           |
| sperm whale (wd:Q81214) | short name (wdt:P1813)                         | P. macrocephalus (mul)                                                                       |
| sperm whale (wd:Q81214) | described by source (wdt:P1343)                | Brockhaus and Efron Encyclopedic Dictionary (wd:Q602358)                                     |
| sperm whale (wd:Q81214) | on focus list of Wikimedia project (wdt:P5008) | wd:Q6173448                                                                                |
| ...                     | ...                                            | ...                                                                                |

[Tool] Got no rows and 3 columns

[Tool] Got no rows and 3 columns

[Tool] Got no rows and 3 columns

[Tool] Got no rows and 3 columns

[Tool]
Got 1 row and 3 columns:
| subject                 | property                                    | object |
| ----------------------- | ------------------------------------------- | ------ |
| sperm whale (wd:Q81214) | Paleobiology Database taxon ID (wdt:P10907) | 68698  |

[Tool]
Got 252 rows and 3 columns, showing the first 10 rows below:
| subject                | property                               | object                                                                                |
| ---------------------- | -------------------------------------- | -------------------------------------------------------------------------------------------- |
| Physeter (wd:Q3382003) | instance of (wdt:P31)                  | taxon (wd:Q16521)                                                                            |
| Physeter (wd:Q3382003) | Commons category (wdt:P373)            | Physeter                                                                                |
| Physeter (wd:Q3382003) | image (wdt:P18)                        | <http://commons.wikimedia.org/wiki/Special:FilePath/Mother%20and%20baby%20sperm%20whale.jpg> |
| Physeter (wd:Q3382003) | parent taxon (wdt:P171)                | Physeteridae (wd:Q1574757)                                                                   |
| Physeter (wd:Q3382003) | taxon name (wdt:P225)                  | Physeter                                                                                |
| Physeter (wd:Q3382003) | taxon rank (wdt:P105)                  | genus (wd:Q34740)                                                                            |
| Physeter (wd:Q3382003) | start time (wdt:P580)                  | -5300000-01-01T00:00:00 (xsd:dateTime)                                                       |
| Physeter (wd:Q3382003) | taxon author citation (wdt:P6507)      | Linnaeus, 1758                                                                               |
| Physeter (wd:Q3382003) | Google Knowledge Graph ID (wdtn:P2671) | <http://g.co/kg/g/121qyn_w>                                                                  |
| Physeter (wd:Q3382003) | GBIF taxon ID (wdt:P846)               | 2440349                                                                                |
| ...                    | ...                                    | ...                                                                                |

[Tool]
Got 333 rows and 3 columns, showing the first 10 rows below:
| subject                    | property                               | object                                                                                |
| -------------------------- | -------------------------------------- | ----------------------------------------------------------------------------------------------------------- |
| Physeteridae (wd:Q1574757) | instance of (wdt:P31)                  | taxon (wd:Q16521)                                                                                |
| Physeteridae (wd:Q1574757) | Commons category (wdt:P373)            | Physeteridae                                                                                |
| Physeteridae (wd:Q1574757) | image (wdt:P18)                        | <http://commons.wikimedia.org/wiki/Special:FilePath/Anim1753%20-%20Flickr%20-%20NOAA%20Photo%20Library.jpg> |
| Physeteridae (wd:Q1574757) | parent taxon (wdt:P171)                | Odontoceti (wd:Q144144)                                                                                |
| Physeteridae (wd:Q1574757) | taxon name (wdt:P225)                  | Physeteridae                                                                                |
| Physeteridae (wd:Q1574757) | taxon rank (wdt:P105)                  | family (wd:Q35409)                                                                                |
| Physeteridae (wd:Q1574757) | taxon common name (wdt:P1843)          | İspermeçet balinasıgiller (tr)                                                                              |
| Physeteridae (wd:Q1574757) | topic's main category (wdt:P910)       | wd:Q7152659                                                                                |
| Physeteridae (wd:Q1574757) | taxonomic type (wdt:P427)              | Physeter (wd:Q3382003)                                                                                |
| Physeteridae (wd:Q1574757) | Google Knowledge Graph ID (wdtn:P2671) | <http://g.co/kg/g/121m84d5>                                                                                |
| ...                        | ...                                    | ...                                                                                |

[Tool] Got no rows and 3 columns

[Tool] Got no rows and 3 columns

[Tool] Got no rows and 3 columns

[Tool] Got no rows and 3 columns

[Tool]
Got 61 rows and 3 columns, showing the first 10 rows below:
| subject                                   | property                               | object                                                                        |
| ----------------------------------------- | -------------------------------------- | ----------------------------------------------------------------------------- |
| macroraptorial sperm whale (wd:Q56274847) | instance of (wdt:P31)                  | organisms known by a particular common name (wd:Q55983715)                    |
| macroraptorial sperm whale (wd:Q56274847) | image (wdt:P18)                        | <http://commons.wikimedia.org/wiki/Special:FilePath/Livyatan%20melvillei.jpg> |
| macroraptorial sperm whale (wd:Q56274847) | subclass of (wdt:P279)                 | Cetacea (wd:Q160)                                                             |
| macroraptorial sperm whale (wd:Q56274847) | time period (wdt:P2348)                | Miocene (wd:Q76267)                                                           |
| macroraptorial sperm whale (wd:Q56274847) | Google Knowledge Graph ID (wdtn:P2671) | <http://g.co/kg/g/11g1qh1d9n>                                                 |
| macroraptorial sperm whale (wd:Q56274847) | schema:description                     | baleias altamente predadoras da ...eteroidea) da época do Miocénico (pt)      |
| macroraptorial sperm whale (wd:Q56274847) | schema:name                            | cachalote macroraptorial (es)                                                 |
| macroraptorial sperm whale (wd:Q56274847) | rdf:type                               | wikibase:Item                                                                 |
| macroraptorial sperm whale (wd:Q56274847) | rdfs:label                             | cachalote macroraptorial (es)                                                 |
| macroraptorial sperm whale (wd:Q56274847) | skos:altLabel                          | raptorial sperm whale (en)                                                    |
| ...                                       | ...                                    | ...                                                                           |

[Tool] Got no rows and 3 columns

[Tool] Got no rows and 3 columns

[Tool] Got no rows and 3 columns

[Tool] Got no rows and 3 columns

[Tool]
Got 1 row and 3 columns:
| subject                                   | property                | object              |
| ----------------------------------------- | ----------------------- | ------------------- |
| macroraptorial sperm whale (wd:Q56274847) | time period (wdt:P2348) | Miocene (wd:Q76267) |

[Tool]
Got 451 rows and 3 columns, showing the first 10 rows below:
| subject             | property                         | object                                                                                |
| ------------------- | -------------------------------- | ---------------------------------------------------------------------------------------------------------------------------------------- |
| Miocene (wd:Q76267) | instance of (wdt:P31)            | epoch (wd:Q754897)                                                                                |
| Miocene (wd:Q76267) | Commons category (wdt:P373)      | Miocene                                                                                |
| Miocene (wd:Q76267) | image (wdt:P18)                  | <http://commons.wikimedia.org/wiki/Special:FilePath/Mollweide%20Paleographic%20Map%20of%20Earth%2C%2015%20Ma%20%28Langhian%20Age%29.png> |
| Miocene (wd:Q76267) | part of (wdt:P361)               | Neogene (wd:Q103924)                                                                                |
| Miocene (wd:Q76267) | has part(s) (wdt:P527)           | Tortonian (wd:Q499299)                                                                                |
| Miocene (wd:Q76267) | described by source (wdt:P1343)  | Brockhaus and Efron Encyclopedic Dictionary (wd:Q602358)                                                                                |
| Miocene (wd:Q76267) | follows (wdt:P155)               | Oligocene (wd:Q101873)                                                                                |
| Miocene (wd:Q76267) | followed by (wdt:P156)           | Pliocene (wd:Q76259)                                                                                |
| Miocene (wd:Q76267) | start time (wdt:P580)            | -23030000-01-01T00:00:00 (xsd:dateTime)                                                                                |
| Miocene (wd:Q76267) | topic's main category (wdt:P910) | wd:Q7063284                                                                                |
| ...                 | ...                              | ...                                                                                |

[Tool]
Got 1 row and 3 columns:
| subject             | property              | object                                  |
| ------------------- | --------------------- | --------------------------------------- |
| Miocene (wd:Q76267) | start time (wdt:P580) | -23030000-01-01T00:00:00 (xsd:dateTime) |

[Assistant]
Here's my reasoning:
- The living sperm whale (Physeter macrocephalus, wd:Q81214) does not have a direct "first appearance" or "fossil range" property in Wikidata.
- The genus Physeter (wd:Q3382003), to which the sperm whale belongs, has a "start time" of about 5.3 million years ago.
- The macroraptorial sperm whales (wd:Q56274847), a group of extinct sperm whales, are associated with the Miocene epoch (wd:Q76267), which started about 23.03 million years ago.
- The Miocene epoch's start time is -23,030,000 years (23.03 million years ago).

Therefore, the earliest known existence of sperm whales (broadly interpreted, including extinct relatives) is from the start of the Miocene epoch, about 23 million years ago.

I will now construct a SPARQL query that returns:
- The earliest known time period associated with sperm whales (including macroraptorial sperm whales).
- The corresponding start time in years.

This will use:
- wd:Q56274847 (macroraptorial sperm whale) → wdt:P2348 (time period) → wd:Q76267 (Miocene)
- wd:Q76267 (Miocene) → wdt:P580 (start time)

Here is the SPARQL query:

[Tool] Stopped generation process

[User]
Feedback (status=done):
The answer and SPARQL query are correct and complete. The query retrieves the time period associated with the first sperm whales (macroraptorial sperm whales), identifies the Miocene epoch, and provides its start time, which matches the scientific consensus. The query also properly returns the IRI of the period and includes labels optionally. No further refinement is necessary.


Failed to generate SPARQL query

[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] which swordfighter in the lord of the rings marry a half-elven and belong to rangers of the north?

[Assistant]
Let's break down the question:

1. We are looking for a swordfighter in "The Lord of the Rings".
2. This person marries a half-elven.
3. This person belongs to the "Rangers of the North".

Step 1: Identify entities and properties.
- "The Lord of the Rings" is a work of fiction, so we need to find characters from it.
- "Swordfighter" likely maps to occupation or skill.
- "Marry a half-elven": we need to find marriage relationships and the spouse's heritage.
- "Rangers of the North" is a group affiliation.

Step 2: Search for relevant entities and properties.

First, let's search for "Rangers of the North" in Wikidata to get its entity.
I will search for the entity "Rangers of the North" in Wikidata to identify its IRI, which will help us find members belonging to this group.


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 ?company ?inception WHERE {
  VALUES ?company {
    wd:Q2905359 wd:Q3821214
  }
  ?company wdt:P571 ?inception .
  OPTIONAL {
    ?company rdfs:label ?label FILTER ( lang( ?label ) = "en" )
  }
}
ORDER BY ?inception

La Sportiva (founded in 1928) started earlier than Black Diamond Equipment (founded in 1989).

[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] which company started earlier, Black Diamond Equipment or la sportiva?

[Assistant]
Step 1: Identify the entities for "Black Diamond Equipment" and "La Sportiva" in Wikidata.

I will search for both company names to get their Wikidata entity IRIs.

[Tool]
Top 10 entity alternatives:
1. Black Diamond Equipment (wd:Q2905359): Manufacturer of equipment for climbing, skiing, and mountain sports
2. anthracite, also known as black diamond, stone coal, Kilkenny coal, hard coal, crow coal (wd:Q182458): hard coal with a volatile component (gas) of less than 10 %
3. Black Diamond, also known as Black Diamond, Washington, Black Diamond, WA (wd:Q1191152): city in King County, Washington, United States
4. Black Diamond, also known as Black Diamond, FL, Black Diamond, Florida (wd:Q570406): census designated place in Citrus County, Florida, United States
5. carbonado, also known as black diamond (wd:Q429950): toughest form of natural diamond; it is an impure form of polycr...ne diamond consisting of diamond, graphite, and amorphous carbon
6. Black Diamond (wd:Q880216): former town in Alberta, Canada
7. Black Diamond, also known as Black Diamond (library), The Black Diamond (wd:Q1142174): modern waterfront extension to the Royal Danish Library's old building
8. The Black Diamond, also known as Black Diamond, Le Diamant noir (wd:Q20802174): 1922 film directed by André Hugon
9. Black Diamond (wd:Q784842): 2008 sophomore studio album by Buraka Som Sistema
10. Black Diamond (wd:Q3398877): Kiss song

[Tool]
Top 10 entity alternatives:
1. La Sportiva (wd:Q3821214): Outdoor Sporting Goods Company
2. Sociedad Sportiva Argentina, also known as La Sportiva (wd:Q39081671): defunct sports club in Buenos Aires
3. La Domenica Sportiva (wd:Q3208328): Italian TV series or program
4. SS Lazio, also known as S.S. Lazio, SSLazio, S.S.Lazio, SSL, S.S.L. (wd:Q2609): football section of the sports club based in Rome, Lazio, Italy
5. Fiat Sportiva Latina (wd:Q50397322)
6. La Domenica Sportiva Estate (wd:Q114560708): Italian television program
7. La Sportiva Competition Award (wd:Q66761549)
8. Unione sportiva La Piemonte (wd:Q124297461): Italian institution in Torino
9. S.S. Lazio Marines, also known as Lazio Marines, Marines Lazio, Società Sportiva Lazio Marines, S.S. Lazio Marines AFT (wd:Q3963703): American football team based in Roma, Italy
10. Associazione Sportiva La Fratellanza 1874 (wd:Q100527922)

[Tool]
Top 10 property alternatives:
1. inception, also known as initial release date, founded in, founded on, founded on date, founding date (wd:P571 as prv/ps/wdt/wdtn/p/psv/pq/pqv/prn/psn/pqn/pr): time when an entity begins to exist; for date of official opening use P1619, start time
2. location of first performance, also known as premiere, premiered at, premiere held at, premiere location, world premiere (wd:P4647 as prv/ps/wdt/wdtn/p/psv/pq/pqv/prn/psn/pqn/pr): location where a work was first debuted, performed or broadcasted, significant place
3. date of first performance, also known as time of first performance, world premiere date, world premiere, premiere date, premiere (wd:P1191 as prv/ps/wdt/wdtn/p/psv/pq/pqv/prn/psn/pqn/pr): date a work was first debuted, performed or live-broadcasted, publication date
4. announcement date, also known as released, date teased, made public on, public announcement date, published (wd:P6949 as prv/ps/wdt/wdtn/p/psv/pq/pqv/prn/psn/pqn/pr): time of the first public presentation of a subject by the creator, of information by the media, point in time
5. aperture (wd:P7863 as prv/ps/wdt/wdtn/p/psv/pq/pqv/prn/psn/pqn/pr): aperture of a camera lens
6. Israel Museum Jerusalem artist ID, also known as IMAGINE (wd:P7681 as prv/ps/wdt/wdtn/p/psv/pq/pqv/prn/psn/pqn/pr): identifier of a person (artist) in the Israel Museum Jerusalem collection
7. language style, also known as manner, term register, obsolete, register, sense register (wd:P6191 as prv/ps/wdt/wdtn/p/psv/pq/pqv/prn/psn/pqn/pr): to denote of the way a sense of a word is used, e.g., slang, vulgarism, babytalk, colloquialism, etc.
8. torque, also known as moment, moment of force (wd:P2230 as prv/ps/wdt/wdtn/p/psv/pq/pqv/prn/psn/pqn/pr): torque of a machine, a motor/engine/powerplant, or a vehicle
9. catchphrase, also known as has catchphrase, mantra, slogan, tagline, uses catchphrase (wd:P6251 as prv/ps/wdt/wdtn/p/psv/pq/pqv/prn/psn/pqn/pr): commonly used phrase by which someone or something may be recognized
10. has goal, also known as intention, mission, objective, objective of project or action, project of (wd:P3712 as prv/ps/wdt/wdtn/p/psv/pq/pqv/prn/psn/pqn/pr): desired result or outcome

[Tool]
Got 2 rows and 2 columns:
| company                               | inception                           |
| ------------------------------------- | ----------------------------------- |
| La Sportiva (wd:Q3821214)             | 1928-01-01T00:00:00Z (xsd:dateTime) |
| Black Diamond Equipment (wd:Q2905359) | 1989-12-01T00:00:00Z (xsd:dateTime) |

[Tool] Stopped generation process

[User]
Feedback (status=done):
The SPARQL query correctly retrieves the inception dates for both Black Diamond Equipment and La Sportiva using their Wikidata identifiers and the 'inception' property. The answer accurately compares the two dates and provides the correct conclusion. The query also returns the IRIs of the companies, fulfilling the requirements. No further refinement is needed.