PREFIX fb: <http://rdf.freebase.com/ns/>
PREFIX rdfs: <http://www.w3.org/2000/01/rdf-schema#>
SELECT ?mouth ?mouthLabel WHERE {
  fb:m.0zdlgks fb:transportation.bridge.body_of_water_spanned fb:m.0m_dt .
  fb:m.0m_dt fb:geography.river.mouth ?mouth .
  OPTIONAL {
    ?mouth rdfs:label ?mouthLabel
  }
}

Got 2 rows and 2 columns:
| mouth                          | mouthLabel               |
| ------------------------------ | ------------------------ |
| Shannon Estuary (fb:m.02py6xf) | Estuaire du Shannon (fr) |
| Shannon Estuary (fb:m.02py6xf) | Shannon Estuary (en)     |

The body of water flowing under Killaloe Bridge is the River Shannon, which ends at the Shannon Estuary (fb:m.02py6xf).

[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:
freebase at http://galera:7002

You can use the following SPARQL prefixes implicitly in all functions:
fb: <http://rdf.freebase.com/ns/
fbkey: <http://rdf.freebase.com/key/
rdf: <http://www.w3.org/1999/02/22-rdf-syntax-ns#
rdfs: <http://www.w3.org/2000/01/rdf-schema#
owl: <http://www.w3.org/2002/07/owl#
xsd: <http://www.w3.org/2001/XMLSchema#
foaf: <http://xmlns.com/foaf/0.1/
skos: <http://www.w3.org/2004/02/skos/core#
dct: <http://purl.org/dc/terms/
dc: <http://purl.org/dc/elements/1.1/
prov: <http://www.w3.org/ns/prov#
schema: <http://schema.org/
geo: <http://www.opengis.net/ont/geosparql#
geosparql: <http://www.opengis.net/ont/geosparql#
gn: <http://www.geonames.org/ontology#
bd: <http://www.bigdata.com/rdf#
hint: <http://www.bigdata.com/queryHints#
wikibase: <http://wikiba.se/ontology#
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] Where does the body of water flowing under Killaloe Bridge end?

[Assistant]
Let's break down the question:

1. Identify the body of water that flows under Killaloe Bridge.
2. Determine where this body of water ends (its mouth, outflow, or endpoint).

First, I need to find the entity for "Killaloe Bridge" in Freebase.

[Tool]
Top 10 entity alternatives:
1. Killaloe Bridge (fb:m.0zdlgks): Killaloe Bridge is a road bridge over the River Shannon between ...s control vehicle movement. The bridge is a protected structure., has type Location
2. The Bridge at Killaloe (Scariff Martyrs) (fb:m.0dy8yhb): has type Musical Recording
3. The Bridge at Killaloe (Scariff Martyrs) (fb:m.0m1tcj3)
4. Parish of Killaloe, Bridgetown and Garraunboy (fb:m.065v1wf): has type Religious Jurisdiction
5. Killaloe-Ballina Bridge over the River Shannon (fb:m.02glrhz)
6. Bridge (fb:transportation.bridge)
7. Bridge (fb:m.015kr): A bridge is a structure built to span physical obstacles such as...e material used to make it, and the funds available to build it., has type Literature Subject
8. Bridgit Mendler, also known as Bridge, Lemonade Mouth, Laura Lopes, Bridgit Claire Mendler (fb:m.04081f3): Bridgit Claire Mendler is an American actress, singer, songwrite...er 30 on the US Billboard 200, and has sold over 200,000 copies., has type Musical Artist
9. Bridge (fb:m.04t6z1): The bridge of a ship is the room or platform from which the ship... term wheelhouse is used interchangeably to refer to the bridge.
10. Bridge (fb:m.057m_h): A bridge is a device for supporting the strings on a stringed in...nstrument in order to transfer the sound to the surrounding air.

[Assistant]
The most relevant entity is "Killaloe Bridge" (fb:m.0zdlgks), which is described as a road bridge over the River Shannon.

Next, I need to confirm the body of water flowing under Killaloe Bridge. The description suggests it is the River Shannon, but I will verify this by checking properties of the Killaloe Bridge entity related to the body of water or river.

[Tool]
Top 10 property alternatives:
1. Body Of Water Spanned (fb:transportation.bridge.body_of_water_spanned): links to type Body Of Water, part of Bridge schema
2. Name (fb:type.object.name): part of Object schema, links to type Text
3. Type (fb:type.object.type): part of Object schema, links to type Type
4. Description (fb:common.topic.description): part of Topic schema, links to type Text
5. Locale (fb:transportation.bridge.locale): links to type Location, part of Bridge schema
6. Key (fb:type.object.key): part of Object schema, links to type Key
7. Notable types (fb:common.topic.notable_types): part of Topic schema, links to type Type
8. Notable for (fb:common.topic.notable_for): links to type notable_for, part of Topic schema

No other items found

[Tool]
Got 1 row and 3 columns:
| subject                        | property                                                               | object                     |
| ------------------------------ | ---------------------------------------------------------------------- | -------------------------- |
| Killaloe Bridge (fb:m.0zdlgks) | Body Of Water Spanned (fb:transportation.bridge.body_of_water_spanned) | River Shannon (fb:m.0m_dt) |

[Assistant]
The body of water flowing under Killaloe Bridge is the River Shannon (fb:m.0m_dt).

Now, I need to determine where the River Shannon ends—its mouth or endpoint. I will search for properties of the River Shannon entity related to "mouth," "ends," or "outflow."

[Tool]
Top 10 property alternatives:
1. Mouth (fb:geography.river.mouth): links to type Location, part of River schema
2. Type (fb:type.object.type): part of Object schema, links to type Type
3. Image (fb:common.topic.image): part of Topic schema, links to type Image
4. Contained by (fb:location.location.containedby): part of Location schema, links to type Location
5. Name (fb:type.object.name): part of Object schema, links to type Text
6. Key (fb:type.object.key): part of Object schema, links to type Key
7. Description (fb:common.topic.description): part of Topic schema, links to type Text
8. Origin (fb:geography.river.origin): links to type Location, part of River schema
9. Article (fb:common.topic.article): links to type Document, part of Topic schema
10. Length (fb:geography.river.length): links to type Floating Point Number, part of River schema

No other items found

[Tool]
Got 1 row and 3 columns:
| subject                    | property                         | object                         |
| -------------------------- | -------------------------------- | ------------------------------ |
| River Shannon (fb:m.0m_dt) | Mouth (fb:geography.river.mouth) | Shannon Estuary (fb:m.02py6xf) |

[Tool]
Got 49 rows and 3 columns, showing the first 10 rows below:
| subject                        | property                                                            | object                                                                   |
| ------------------------------ | ------------------------------------------------------------------- | ------------------------------------------------------------------------ |
| Shannon Estuary (fb:m.02py6xf) | Type (fb:type.object.type)                                          | Topic (fb:common.topic)                                                  |
| Shannon Estuary (fb:m.02py6xf) | Key (fb:type.object.key)                                            | /en/shannon_estuary                                                      |
| Shannon Estuary (fb:m.02py6xf) | Name (fb:type.object.name)                                          | Estuaire du Shannon (fr)                                                 |
| Shannon Estuary (fb:m.02py6xf) | Topic equivalent webpage (fb:common.topic.topic_equivalent_webpage) | <http://en.wikipedia.org/wiki/index.html?curid=9962377>                  |
| Shannon Estuary (fb:m.02py6xf) | Notable for (fb:common.topic.notable_for)                           | fb:g.1254xnv15                                                           |
| Shannon Estuary (fb:m.02py6xf) | Notable types (fb:common.topic.notable_types)                       | Geographical Feature (fb:m.02h5yxm)                                      |
| Shannon Estuary (fb:m.02py6xf) | Description (fb:common.topic.description)                           | L’estuaire du Shannon est un lar...int, Talbert Island et Auginish. (fr) |
| Shannon Estuary (fb:m.02py6xf) | Article (fb:common.topic.article)                                   | fb:m.02py6xj                                                             |
| Shannon Estuary (fb:m.02py6xf) | Contained by (fb:location.location.containedby)                     | County Limerick (fb:m.0p54z)                                             |
| Shannon Estuary (fb:m.02py6xf) | Image (fb:common.topic.image)                                       | Shannon Estuary location (fb:m.05ts41x)                                  |
| ...                            | ...                                                                 | ...                                                                      |

[Tool]
Top 10 property alternatives:
1. Type (fb:type.object.type): part of Object schema, links to type Type
2. Image (fb:common.topic.image): part of Topic schema, links to type Image
3. Contained by (fb:location.location.containedby): part of Location schema, links to type Location
4. Name (fb:type.object.name): part of Object schema, links to type Text
5. Key (fb:type.object.key): part of Object schema, links to type Key
6. Description (fb:common.topic.description): part of Topic schema, links to type Text
7. Category (fb:geography.geographical_feature.category): links to type Geographical feature category, part of Geographical Feature schema
8. Article (fb:common.topic.article): links to type Document, part of Topic schema
9. Notable types (fb:common.topic.notable_types): part of Topic schema, links to type Type
10. Notable for (fb:common.topic.notable_for): links to type notable_for, part of Topic schema

No other items found

[Tool]
Top 10 property alternatives:
1. Contained by (fb:location.location.containedby): part of Location schema, links to type Location
2. Type (fb:type.object.type): part of Object schema, links to type Type
3. Image (fb:common.topic.image): part of Topic schema, links to type Image
4. Name (fb:type.object.name): part of Object schema, links to type Text
5. Description (fb:common.topic.description): part of Topic schema, links to type Text
6. Category (fb:geography.geographical_feature.category): links to type Geographical feature category, part of Geographical Feature schema
7. Article (fb:common.topic.article): links to type Document, part of Topic schema
8. Near travel destination (fb:travel.tourist_attraction.near_travel_destination): part of Tourist attraction schema, links to type Travel destination
9. Key (fb:type.object.key): part of Object schema, links to type Key

No other items found

[Tool]
Top 10 property alternatives:
1. Key (fb:type.object.key): part of Object schema, links to type Key
2. Category (fb:geography.geographical_feature.category): links to type Geographical feature category, part of Geographical Feature schema
3. Image (fb:common.topic.image): part of Topic schema, links to type Image
4. Type (fb:type.object.type): part of Object schema, links to type Type
5. Name (fb:type.object.name): part of Object schema, links to type Text
6. Description (fb:common.topic.description): part of Topic schema, links to type Text
7. Near travel destination (fb:travel.tourist_attraction.near_travel_destination): part of Tourist attraction schema, links to type Travel destination
8. Contained by (fb:location.location.containedby): part of Location schema, links to type Location
9. Article (fb:common.topic.article): links to type Document, part of Topic schema
10. Notable types (fb:common.topic.notable_types): part of Topic schema, links to type Type

No other items found

[Tool]
Got 1 row and 3 columns:
| subject                        | property                                        | object                       |
| ------------------------------ | ----------------------------------------------- | ---------------------------- |
| Shannon Estuary (fb:m.02py6xf) | Contained by (fb:location.location.containedby) | County Limerick (fb:m.0p54z) |

[Tool]
Top 10 property alternatives:
1. Contained by (fb:location.location.containedby): part of Location schema, links to type Location
2. Type (fb:type.object.type): part of Object schema, links to type Type
3. Image (fb:common.topic.image): part of Topic schema, links to type Image
4. Name (fb:type.object.name): part of Object schema, links to type Text
5. Description (fb:common.topic.description): part of Topic schema, links to type Text
6. Category (fb:geography.geographical_feature.category): links to type Geographical feature category, part of Geographical Feature schema
7. Article (fb:common.topic.article): links to type Document, part of Topic schema
8. Near travel destination (fb:travel.tourist_attraction.near_travel_destination): part of Tourist attraction schema, links to type Travel destination
9. Key (fb:type.object.key): part of Object schema, links to type Key

No other items found

[Tool]
Top 10 property alternatives:
1. Near travel destination (fb:travel.tourist_attraction.near_travel_destination): part of Tourist attraction schema, links to type Travel destination
2. Name (fb:type.object.name): part of Object schema, links to type Text
3. Description (fb:common.topic.description): part of Topic schema, links to type Text
4. Geolocation (fb:location.location.geolocation): part of Location schema, links to type Geocode
5. Image (fb:common.topic.image): part of Topic schema, links to type Image
6. Key (fb:type.object.key): part of Object schema, links to type Key
7. Article (fb:common.topic.article): links to type Document, part of Topic schema
8. Type (fb:type.object.type): part of Object schema, links to type Type
9. Contained by (fb:location.location.containedby): part of Location schema, links to type Location
10. Category (fb:geography.geographical_feature.category): links to type Geographical feature category, part of Geographical Feature schema

No other items found

[Tool]
Top 10 entity alternatives:
1. Shannon Estuary (fb:m.02py6xf): The Shannon Estuary is a large estuary where the River Shannon f...l power schemes, despite occasionally experiencing a Tidal bore., has type Geographical Feature
2. Shannon Estuary location (fb:m.05ts41x)
3. Shannon River Estuary (Ireland) (fb:m.0bq36kw)
4. Estuary (fb:m.0kh77): An estuary is a partly enclosed coastal body of brackish water w...meet the above definition of an estuary and may be fully saline., has type Geographical feature category
5. Shannon, also known as Brenda Shannon Greene, Todd Terry presents Shannon (fb:m.03f06ct): Shannon Brenda Greene, better known by the mononym Shannon, is a...annon's most recent album is A Beauty Returns, released in 2007., has type Musical Artist
6. Shannon, also known as Lee County / Shannon town, Shannon, Mississippi (fb:m.0wqw5): Shannon is a town in Lee County, Mississippi. The population was...5, west of U.S. Route 45. Chiwapa Creek flows south of the town., has type City/Town/Village
7. Shannon, also known as Carroll County / Shannon village, Shannon, Illinois (fb:m.0s3lf): Shannon is a village in Carroll County, Illinois, United States. The population was 757 at the 2010 census, down from 854 in 2000., has type City/Town/Village
8. Shannon, also known as Shannon, North Carolina, Robeson County / Shannon CDP (fb:m.0yk9h): Shannon is a census-designated place in Robeson County, North Carolina, United States. The population was 197 at the 2000 census., has type US Census Designated Place
9. Shannon Racing Cars, also known as Shannon (fb:m.04n6p0): Shannon Racing Cars was a Formula One constructor from the Unite...rly in the race. The car was then used for Formula 3 until 1969., has type Organization
10. Shannon, also known as Floyd County / Shannon CDP, Shannon, Georgia (fb:m.0rwgz): Shannon is a census-designated place in Floyd County, Georgia, U... Statistical Area'. The population was 1,682 at the 2000 census., has type US Census Designated Place

[Tool]
Top 10 property alternatives:
1. Image (fb:common.topic.image): part of Topic schema, links to type Image
2. Category (fb:geography.geographical_feature.category): links to type Geographical feature category, part of Geographical Feature schema
3. Type (fb:type.object.type): part of Object schema, links to type Type
4. Description (fb:common.topic.description): part of Topic schema, links to type Text
5. Name (fb:type.object.name): part of Object schema, links to type Text
6. Near travel destination (fb:travel.tourist_attraction.near_travel_destination): part of Tourist attraction schema, links to type Travel destination
7. Key (fb:type.object.key): part of Object schema, links to type Key
8. Contained by (fb:location.location.containedby): part of Location schema, links to type Location
9. Notable types (fb:common.topic.notable_types): part of Topic schema, links to type Type

No other items found

[Assistant]
The River Shannon, which flows under Killaloe Bridge, ends at the Shannon Estuary (fb:m.02py6xf). The estuary is a large body of water where the river meets the sea, but the Freebase data does not explicitly state the final outflow to the Atlantic Ocean. However, based on the available data, the most specific endpoint provided is the Shannon Estuary.

I will now construct a SPARQL query that returns the endpoint (mouth) of the body of water (River Shannon) flowing under Killaloe Bridge, including the IRI and optionally the label.

[Tool] Stopped generation process


PREFIX fb: <http://rdf.freebase.com/ns/>
PREFIX rdfs: <http://www.w3.org/2000/01/rdf-schema#>
SELECT ?country ?label WHERE {
  ?country a fb:location.country .
  ?country fb:location.statistical_region.population ?pop_node .
  ?pop_node fb:measurement_unit.dated_integer.number 10019610 .
  ?country fb:location.country.official_language fb:m.05zjd .
  OPTIONAL {
    ?country rdfs:label ?label
  }
}

There is no country in Freebase with a population value of exactly 10,019,610, nor is there any population node with that exact value. Therefore, it is not possible to answer the question as stated using the available data.

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

You have access to the following knowledge graphs:
freebase at http://galera:7002

You can use the following SPARQL prefixes implicitly in all functions:
fb: <http://rdf.freebase.com/ns/
fbkey: <http://rdf.freebase.com/key/
rdf: <http://www.w3.org/1999/02/22-rdf-syntax-ns#
rdfs: <http://www.w3.org/2000/01/rdf-schema#
owl: <http://www.w3.org/2002/07/owl#
xsd: <http://www.w3.org/2001/XMLSchema#
foaf: <http://xmlns.com/foaf/0.1/
skos: <http://www.w3.org/2004/02/skos/core#
dct: <http://purl.org/dc/terms/
dc: <http://purl.org/dc/elements/1.1/
prov: <http://www.w3.org/ns/prov#
schema: <http://schema.org/
geo: <http://www.opengis.net/ont/geosparql#
geosparql: <http://www.opengis.net/ont/geosparql#
gn: <http://www.geonames.org/ontology#
bd: <http://www.bigdata.com/rdf#
hint: <http://www.bigdata.com/queryHints#
wikibase: <http://wikiba.se/ontology#
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 country with a population of 10019610 speaks Portuguese?

[Assistant]
Let's break down the question:

1. We are looking for a country.
2. The country must have a population of exactly 10,019,610.
3. The country must have Portuguese as a spoken language.

Step 1: Find the entity for "Portuguese" (the language).
Step 2: Find the property for "population".
Step 3: Find the property for "spoken language".
Step 4: Find countries with the specified population and Portuguese as a spoken language.

Let's start by searching for the entity "Portuguese" in Freebase.

[Tool]
Top 10 entity alternatives:
1. Portuguese Language, also known as Portugese, Português, Portuguese, Portuguese language (fb:m.05zjd): Portuguese is a Romance language and the sole official language ... and is an official language of the European Union and Mercosul., has type Human Language
2. Portuguese food, also known as Portuguese, Portuguese cuisine (fb:m.03pvdc): Despite being relatively restricted to an Atlantic sustenance, P...rlic is widely used, as are herbs such as coriander and parsley., has type Cuisine
3. Portuguese (fb:m.0l1r8v)
4. Portuguese, also known as Portugual (fb:m.079571g): Portuguese cuisine is born from the earth - hearty peasant fare ...mel, rice pudding & the famous custard tarts or pasteis de nata., has type TV Episode
5. Portuguese (fb:m.0fw5tdx): has type Musical Recording
6. Portuguese (fb:m.0f4lbrp): has type Musical Recording
7. Portuguese, also known as The Portuguese, The Land and its People (fb:m.06mxp6k): has type Book
8. Portuguese (fb:m.011jx2df): Portuguese is a fictional character from the 1970 film The Lion Has Seven Heads., has type Film character
9. Portuguese (fb:m.0mg41vd)
10. Portuguese (fb:m.0mrq_x2)

[Assistant]
The most relevant entity for the Portuguese language is "Portuguese Language" (fb:m.05zjd).

Next, I will search for the property related to "population" in Freebase.

[Tool]
Top 10 property alternatives:
1. Population (fb:user.pascalch.canadian_federal_district.canadian_federal_district.population): part of Canadian Federal District schema, links to type Dated Integer
2. Population (fb:user.jfry.default_domain.state12.population): part of Mexican State schema, links to type Dated Integer
3. Population (fb:base.prison.prison.population): links to type Dated Integer, part of Prison schema
4. Population (fb:people.ethnicity.population): links to type Dated Integer, part of Ethnicity schema
5. Population (fb:location.statistical_region.population): part of Statistical region schema, links to type Dated Integer
6. Population size (fb:base.birdconservation.population_size.population_size): part of Population size schema, links to type Integer
7. Population Number (fb:user.wellstone.default_domain.world_population_by_time.population_number): part of World Population by Time schema, links to type Dated Integer
8. Total population (fb:user.jonathanwlowe.us_census_2000.statistical_region.p001001): part of Statistical Region schema, links to type Dated Integer
9. Population growth rate (fb:location.statistical_region.population_growth_rate): part of Statistical region schema, links to type Dated Percentage
10. Population description (fb:base.litcentral.focal_taxa.population_description): links to type Source feature taxa, part of Focal taxa schema

[Assistant]
The most general property for population that applies to regions is likely "fb:location.statistical_region.population".

Next, I will search for the property related to "spoken language" or "official language" for a country.

[Tool]
Top 10 property alternatives:
1. language (fb:base.semantics.expression.language): part of expression schema, links to type Language
2. Language (fb:base.writing.idiom.language): links to type Human Language, part of Idiom schema
3. Language (fb:user.ameroamigo.default_domain.numismatic_item.language): part of Numismatic Item schema, links to type Type
4. Language (fb:user.fabricio.default_domain.computer_program.language): links to type Programming Language, part of Computer Script schema
5. Language (fb:user.hangy.default_domain.pronunciation.language): links to type Human Language, part of Pronunciation schema
6. Language (fb:base.italiantv.foreign_language_adaptation.language): part of Foreign language adaptation schema, links to type Human Language
7. Language (fb:user.pumpkin.etymology.word.language): links to type Human Language, part of Word schema
8. Language (fb:base.blurbhighlights.highlight.language): part of Highlight schema, links to type Language
9. Language (fb:base.schemastaging.tv_episode_dubbing_performance.language): part of TV episode dubbing performance schema, links to type Human Language
10. language (fb:base.soundalike.spoken_word.language): links to type Human Language, part of Spoken Word schema

[Tool]
Top 10 property alternatives:
1. Official Language (fb:location.country.official_language): links to type Human Language, part of Country schema
2. Official Language(s) (fb:user.ktrueman.default_domain.international_organization.official_language_s): part of International Organization schema, links to type Official Language
3. language (fb:base.semantics.expression.language): part of expression schema, links to type Language
4. Language (fb:base.writing.idiom.language): links to type Human Language, part of Idiom schema
5. Language (fb:user.ameroamigo.default_domain.numismatic_item.language): part of Numismatic Item schema, links to type Type
6. Language (fb:user.fabricio.default_domain.computer_program.language): links to type Programming Language, part of Computer Script schema
7. Language (fb:user.hangy.default_domain.pronunciation.language): links to type Human Language, part of Pronunciation schema
8. Language (fb:base.italiantv.foreign_language_adaptation.language): part of Foreign language adaptation schema, links to type Human Language
9. Language (fb:user.pumpkin.etymology.word.language): links to type Human Language, part of Word schema
10. Language (fb:base.blurbhighlights.highlight.language): part of Highlight schema, links to type Language

[Assistant]
The most relevant property for official language of a country is "fb:location.country.official_language".

Now, let's summarize the elements:
- Country entity type.
- Population property: fb:location.statistical_region.population.
- Official language property: fb:location.country.official_language.
- Portuguese language entity: fb:m.05zjd.

Next, I will search for the entity type for "country" to ensure we only select countries.

[Tool]
Top 10 entity alternatives:
1. Country, also known as Country music, Country & Western, Country and Western (fb:m.01lyv): Country music is a genre of American popular music that originat... various musical traditions from European immigrant communities., has type Musical genre
2. Country (fb:location.country)
3. Country (fb:m.01lff): A country is a region that is identified as a distinct entity in...in addition to the traditional countries or independent states"., has type Type of fictional setting
4. Country, also known as Empire (fb:m.01mp): The type country in Freebase can and should be used with a varie...s with little population or autonomy will be typed as a country.
5. Country (fb:m.03b17s): Country is a 1984 American film which follows the trials and tri... distinguishing between stories portrayed in movies and reality., has type Film
6. Winston Marshall, also known as “Country” Winston Marshall, Winston Aubrey Aladar Marshall, Country Winston Marshall, 'Country' Winston Marshall, Country Winston (fb:m.09tw27x): Winston Aubrey Aladar Marshall is a British musician, best known...ons's third album, Wilder Mind, Marshall is credited as 'WN5TN'., Winston Marshall is a member of the musical group Mumford & Sons. He appeared on the documentary film Big Easy Express., has type Composer
7. Country (fb:m.0fj3y20): has type Consumer product
8. Country (fb:m.04w20j7): Country was the first book published by Rolling Stone magazine c...ches called "the most beautiful prose written of country music.", has type Book
9. Country (fb:m.0383500): has type Musical Release
10. Country (fb:m.0p0bfb): has type Musical Recording

[Assistant]
The relevant type for a country is "fb:location.country".

Now, I will construct a SPARQL query to find all entities of type country, with a population of 10,019,610, and Portuguese as an official language. I will also try to retrieve their labels.

Let's build the query.

[Tool] Got no rows and 2 columns

[Assistant]
The query returned no results. This could be due to several reasons:
- The population property may require a qualifier (such as a date).
- The population value might be stored as a string or with a different datatype.
- The population property might not be directly on the country entity, or the value might not match exactly.

Let's investigate how the population property is used for a known country. I'll list some triples for the property fb:location.statistical_region.population.

[Tool]
Got 65,536 rows and 3 columns, showing the first 10 rows below:
| subject                           | property                                               | object          |
| --------------------------------- | ------------------------------------------------------ | --------------- |
| El Paso (fb:m.0100mt)             | Population (fb:location.statistical_region.population) | fb:g.11b66ff3r6 |
| Lubbock (fb:m.0105y2)             | Population (fb:location.statistical_region.population) | fb:g.11b674hjz0 |
| Pyrénées-Orientales (fb:m.01087l) | Population (fb:location.statistical_region.population) | fb:g.11bc87r45g |
| Waco (fb:m.0106dv)                | Population (fb:location.statistical_region.population) | fb:g.11b66k1kjv |
| Laredo (fb:m.010bnr)              | Population (fb:location.statistical_region.population) | fb:g.11b66d006c |
| Ogden (fb:m.010h9y)               | Population (fb:location.statistical_region.population) | fb:g.11b66f8syp |
| Beaumont (fb:m.0104lr)            | Population (fb:location.statistical_region.population) | fb:g.11b66h7pb0 |
| Bellevue (fb:m.010r6f)            | Population (fb:location.statistical_region.population) | fb:g.11b66l5ktc |
| Denton (fb:m.010016)              | Population (fb:location.statistical_region.population) | fb:g.11b66c1bjg |
| Tyler (fb:m.0108xl)               | Population (fb:location.statistical_region.population) | fb:g.11b66bywdb |
| ...                               | ...                                                    | ...             |

[Assistant]
The object for the population property is not a literal number, but rather another node (likely representing a population statement, possibly with qualifiers like date).

Let's inspect one of these population nodes (e.g., fb:g.11b66ff3r6) to see how the actual population value is stored.

[Tool]
Got 5 rows and 3 columns:
| subject         | property                                          | object                                                                  |
| --------------- | ------------------------------------------------- | ----------------------------------------------------------------------- |
| fb:g.11b66ff3r6 | Type (fb:type.object.type)                        | Dated Integer (fb:measurement_unit.dated_integer)                       |
| fb:g.11b66ff3r6 | number (fb:measurement_unit.dated_integer.number) | 674433                                                                  |
| fb:g.11b66ff3r6 | date (fb:measurement_unit.dated_integer.year)     | 2013 (xsd:gYear)                                                        |
| fb:g.11b66ff3r6 | Source (fb:measurement_unit.dated_integer.source) | Population, Population in the U.S., U.S. Census Bureau (fb:g.11x1k306j) |
| fb:g.11b66ff3r6 | rdf:type                                          | Dated Integer (fb:measurement_unit.dated_integer)                       |

[Assistant]
The population value is stored in a node of type "Dated Integer" with the property "fb:measurement_unit.dated_integer.number" holding the actual number, and "fb:measurement_unit.dated_integer.year" holding the year.

So, to find countries with a population of 10,019,610, I need to:
- Find entities of type country.
- Follow fb:location.statistical_region.population to a population node.
- Check that the population node has fb:measurement_unit.dated_integer.number 10019610.
- Check that the country has Portuguese as an official language.

Let's update the SPARQL query accordingly.

[Tool] Got no rows and 2 columns

[Assistant]
The updated query still returned no results. This could be due to:
- The population value being stored as a string rather than an integer.
- The population value being approximate and not exactly 10,019,610.
- The official language property not being used for the country in question, or a different property being used.

To investigate further, let's try to find any population nodes with the value 10019610, regardless of country, to see if such a value exists in the knowledge graph.

[Tool] Got no rows and 3 columns

[Assistant]
There are no population nodes with the exact value 10,019,610 in Freebase. This suggests that either:
- The population is stored with a slightly different value (perhaps rounded or from a different year).
- The data for this specific population is not present in Freebase.

Given that no such population value exists in the knowledge graph, it is not possible to answer the question with a SPARQL query that matches all the criteria exactly.

If you would like, I can attempt to find countries with Portuguese as an official language and list their populations, or search for countries with a population close to 10,019,610. Please let me know how you would like to proceed.

[Tool] Stopped generation process


PREFIX fb: <http://rdf.freebase.com/ns/>
PREFIX xsd: <http://www.w3.org/2001/XMLSchema#>
PREFIX rdfs: <http://www.w3.org/2000/01/rdf-schema#>
SELECT ?city ?cityLabel ?gnis WHERE {
  fb:m.05r3c3 fb:people.person.places_lived ?placeLived .
  ?placeLived fb:people.place_lived.location ?city .
  ?city fb:location.location.gnis_feature_id ?gnis .
  OPTIONAL {
    ?city rdfs:label ?cityLabel
  }
}
ORDER BY DESC ( xsd:integer ( ?gnis ) )
LIMIT 1

Lala Anthony resides in Brooklyn, which is the city with the largest GNIS feature ID (1783503) among her residences in Freebase.

[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:
freebase at http://galera:7002

You can use the following SPARQL prefixes implicitly in all functions:
fb: <http://rdf.freebase.com/ns/
fbkey: <http://rdf.freebase.com/key/
rdf: <http://www.w3.org/1999/02/22-rdf-syntax-ns#
rdfs: <http://www.w3.org/2000/01/rdf-schema#
owl: <http://www.w3.org/2002/07/owl#
xsd: <http://www.w3.org/2001/XMLSchema#
foaf: <http://xmlns.com/foaf/0.1/
skos: <http://www.w3.org/2004/02/skos/core#
dct: <http://purl.org/dc/terms/
dc: <http://purl.org/dc/elements/1.1/
prov: <http://www.w3.org/ns/prov#
schema: <http://schema.org/
geo: <http://www.opengis.net/ont/geosparql#
geosparql: <http://www.opengis.net/ont/geosparql#
gn: <http://www.geonames.org/ontology#
bd: <http://www.bigdata.com/rdf#
hint: <http://www.bigdata.com/queryHints#
wikibase: <http://wikiba.se/ontology#
qb: <http://purl.org/linked-data/cube#
void: <http://rdfs.org/ns/void#

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

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

[User] In which city with the largest GNIS feature ID does Lala Anthony reside?

[Assistant]
Let's break down the question:

1. We need to identify "Lala Anthony" in Freebase.
2. We need to find the city where she resides.
3. For each city, we need to find its GNIS feature ID.
4. Among possible cities, we need the one with the largest GNIS feature ID.

Let's start by searching for "Lala Anthony" in Freebase to get her entity.

[Tool]
Top 10 entity alternatives:
1. Cynthia Bailey & Lala Anthony, also known as Cynthia Bailey & Lala Anthony (fb:m.011cv6s7): has type TV Episode
2. Magic Johnson, Cookie Johnson, LaLa Anthony (fb:m.0_qmqmm): has type TV Episode
3. Lala Anthony, Andrew Schulz, Damien Lemon (fb:m.0_m0zsm): has type TV Episode
4. Arjen Anthony Lucassen, also known as Anthony, Strange Hobby (fb:m.04m2zj): Arjen Anthony Lucassen is a Dutch progressive metal/rock songwri...beon, and the creator and former guitarist of Stream of Passion., has type Musical Artist
5. Lalaine, also known as Lala, Lalaine Vergara-Paras, Lalaine Ann Vergara-Paras, lalaine (fb:m.01w05t7): Lalaine Vergara-Paras, also known as Lalaine, is an American act...09. She was a member of the band Vanity Theft from 2010 to 2011., has type Film actor
6. Anthony, also known as Anthony, Kansas, Harper County / Anthony city (fb:m.0t75x): Anthony is a city in and the county seat of Harper County, Kansa...ed States. As of the 2010 census, the city population was 2,269., has type City/Town/Village
7. Anthony, also known as Anthony, Texas, El Paso County / Anthony town (fb:m.020ydmq): Anthony is an incorporated town in El Paso County, Texas, United...Texas when traveling eastbound on Interstate 10 from New Mexico., has type City/Town/Village
8. Lal, also known as LaLa, Lalji, Lal Paul, Paul Michael (fb:m.03c_pqj): Paul Michael, better known by his stage name Lal, is an Indian f...els to In Harihar Nagar, 2 Harihar Nagar and In Ghost House Inn., has type Film director
9. Anthony, also known as Lewellyn Anthony Gonsalvez, Llwellyn Anthony Gonsalvez, Llwellyn Anthony Gonsalves, Antony, Anthony Gonsalves (fb:m.02qfk4j): Anthony is a Tamil film editor. He has worked in over twenty Tam...s to have worked for the three biggest film industries in India., has type Award Winner
10. Anthony, also known as Anthony, New Mexico, Dona Ana County / Anthony CDP (fb:m.02080js): Anthony is a city in Doña Ana County, New Mexico, United States....6 were cast in early voting and 11 were cast in absentee voting., has type City/Town/Village

[Assistant]
The search did not return a direct match for "Lala Anthony" as a person, but only TV episodes involving her and other unrelated entities. This suggests that Freebase may not have a standalone entity for her, or she may be listed under a different name.

Lala Anthony is also known as "La La Anthony" or "Alani Nicole Anthony". I will try searching for "Alani Nicole Anthony" to see if that yields a better result.

[Tool]
Top 10 entity alternatives:
1. La La, also known as La La Anthony, LaLa Vazquez, La La Vasquez, LaLa Vasquez, La La Vazquez (fb:m.05r3c3): Alani Nicole "La La" Anthony is an American radio and television...Anthony's son, Kiyan Carmelo Anthony, was born on March 7, 2007., has type Musical Artist
2. Sir Anthony Hopkins, Nicole Sche...s Right" contestant Marie Fodale, also known as Sir Anthony Hopkins, Nicole Scherzinger (fb:m.06y_2vy): has type TV Episode
3. Nicole, also known as Nicole Hohloch, Nicole Seibert (fb:m.01w7tkh): Nicole is a German singer., has type Musical Artist
4. Arjen Anthony Lucassen, also known as Anthony, Strange Hobby (fb:m.04m2zj): Arjen Anthony Lucassen is a Dutch progressive metal/rock songwri...beon, and the creator and former guitarist of Stream of Passion., has type Musical Artist
5. Nicole, also known as Denisse Lillian Laval Soza, Nicole Apt (fb:m.0dnfm0): Denisse Lillian Laval Soza, better known by her stage name Nicole, is a Chilean singer-songwriter, based in Santiago and Miami., has type Musical Artist
6. Nicole Polizzi, also known as Snickers, Snooks, Snooki, Nicole 'Snooki' Polizzi, Nicole 'Snooki' (fb:m.0b72k93): Nicole Elizabeth "Snooki" LaValle is an American reality televis...E Raw in 2011 and competed at WrestleMania XXVII that same year., has type TV Personality
7. Anthony, also known as Anthony, Kansas, Harper County / Anthony city (fb:m.0t75x): Anthony is a city in and the county seat of Harper County, Kansa...ed States. As of the 2010 census, the city population was 2,269., has type City/Town/Village
8. Anthony, also known as Anthony, Texas, El Paso County / Anthony town (fb:m.020ydmq): Anthony is an incorporated town in El Paso County, Texas, United...Texas when traveling eastbound on Interstate 10 from New Mexico., has type City/Town/Village
9. Nicole Wray, also known as Nikki Wray, Nicole Ray, Nicole Monique Wray, Nicole (fb:m.05ds2y): Nicole Monique Wray, also known as simply Nicole, is an American... singer. Her 1998 debut single "Make It Hot" was certified gold., has type Composer
10. Nicole Sheridan, also known as Melissa Post, Nicole Sheriton, Nicole Sheridon, Nicole Sheriden, Nicole Sheraton (fb:m.0d2k8z): Nicole Sheridan is an American former pornographic actress., has type Film actor

[Assistant]
The first result, "La La" (fb:m.05r3c3), also known as La La Anthony and LaLa Vazquez, matches the identity of Lala Anthony. This is the correct entity to use.

Next, I need to find the property that indicates the city where she resides. I will search for properties related to "residence" or "lives in" for this entity.

[Tool]
Top 10 property alternatives:
1. Country of nationality (fb:people.person.nationality): part of Person schema, links to type Country
2. Place of birth (fb:people.person.place_of_birth): links to type Location, part of Person schema
3. Profession (fb:people.person.profession): links to type Profession, part of Person schema
4. Places lived (fb:people.person.places_lived): links to type Place lived, part of Person schema
5. Spouse (or domestic partner) (fb:people.person.spouse_s): links to type Marriage, part of Person schema
6. Date of birth (fb:people.person.date_of_birth): links to type Date/Time, part of Person schema
7. Key (fb:type.object.key): part of Object schema, links to type Key
8. Name (fb:type.object.name): part of Object schema, links to type Text
9. Type (fb:type.object.type): part of Object schema, links to type Type
10. Description (fb:common.topic.description): part of Topic schema, links to type Text

No other items found

[Assistant]
The property "Places lived" (fb:people.person.places_lived) is the most relevant for finding where Lala Anthony resides. This property likely links to a location entity.

Next, I will check how this property is structured and what information it provides by listing some triples where "La La" (fb:m.05r3c3) is the subject and "places lived" is the property.

[Tool]
Got 1 row and 3 columns:
| subject             | property                                     | object       |
| ------------------- | -------------------------------------------- | ------------ |
| La La (fb:m.05r3c3) | Places lived (fb:people.person.places_lived) | fb:m.04hshh9 |

[Assistant]
The "places lived" property for La La Anthony points to the entity fb:m.04hshh9. This is likely a "Place lived" node, which may contain further information about the actual city.

Now, I need to inspect the properties of fb:m.04hshh9 to find the specific city or location it refers to.

[Tool]
Got 4 rows and 3 columns:
| subject      | property                                  | object                              |
| ------------ | ----------------------------------------- | ----------------------------------- |
| fb:m.04hshh9 | Type (fb:type.object.type)                | Place lived (fb:people.place_lived) |
| fb:m.04hshh9 | Location (fb:people.place_lived.location) | Brooklyn (fb:m.0cr3d)               |
| fb:m.04hshh9 | Person (fb:people.place_lived.person)     | La La (fb:m.05r3c3)                 |
| fb:m.04hshh9 | rdf:type                                  | Place lived (fb:people.place_lived) |

[Assistant]
The "Place lived" node fb:m.04hshh9 links to "Brooklyn" (fb:m.0cr3d) as the location. So, according to Freebase, Lala Anthony has lived in Brooklyn.

Next, I need to find the GNIS feature ID for Brooklyn and compare it with other possible cities if there are multiple. First, let's check if there are other "places lived" entries for Lala Anthony by listing all such triples.

[Tool]
Got 1 row and 3 columns:
| subject             | property                                     | object       |
| ------------------- | -------------------------------------------- | ------------ |
| La La (fb:m.05r3c3) | Places lived (fb:people.person.places_lived) | fb:m.04hshh9 |

[Assistant]
There is only one "places lived" entry for Lala Anthony, which is Brooklyn (fb:m.0cr3d).

Now, I need to find the GNIS feature ID for Brooklyn. I will search for properties related to "GNIS" for the Brooklyn entity.

[Tool]
Top 10 property alternatives:
1. GNIS ID (fb:location.location.gnis_feature_id): links to type Enumeration, part of Location schema
2. Contains (fb:location.location.contains): part of Location schema, links to type Location
3. Teams (fb:sports.sports_team_location.teams): part of Sports Team Location schema, links to type Sports Team
4. Area (fb:location.location.area): links to type Floating Point Number, part of Location schema
5. FIPS 10-4 Region Code (fb:location.administrative_division.fips_10_4_region_code): part of Administrative Division schema, links to type Enumeration
6. Country (fb:base.biblioness.bibs_location.country): part of Bibs Location schema, links to type Location
7. Description (fb:common.topic.description): part of Topic schema, links to type Text
8. Name (fb:type.object.name): part of Object schema, links to type Text
9. Adjoins (fb:location.location.adjoin_s): links to type Adjoining Relationship, part of Location schema
10. Key (fb:type.object.key): part of Object schema, links to type Key

No other items found

[Assistant]
The property "GNIS ID" (fb:location.location.gnis_feature_id) is the one we need for Brooklyn.

Now, I will list the GNIS feature ID for Brooklyn (fb:m.0cr3d).

[Tool]
Got 1 row and 3 columns:
| subject               | property                                       | object  |
| --------------------- | ---------------------------------------------- | ------- |
| Brooklyn (fb:m.0cr3d) | GNIS ID (fb:location.location.gnis_feature_id) | 1783503 |

[Assistant]
Brooklyn (fb:m.0cr3d) has a GNIS feature ID of 1783503. Since this is the only city listed as a place Lala Anthony has lived in Freebase, it is both the only and the largest GNIS feature ID among her residences.

Now, I will construct the final SPARQL query to return the city where Lala Anthony resides, along with its GNIS feature ID, ensuring the result includes the city IRI and optionally its label.

[Tool] Stopped generation process


PREFIX fb: <http://rdf.freebase.com/ns/>
PREFIX xsd: <http://www.w3.org/2001/XMLSchema#>
PREFIX rdfs: <http://www.w3.org/2000/01/rdf-schema#>
SELECT DISTINCT ?founder ?founderLabel WHERE {
  fb:m.0bwfn fb:organization.organization.founders ?founder .
  ?founder fb:government.politician.government_positions_held ?pos .
  ?pos fb:government.government_position_held.from ?from .
  FILTER ( ?from < "1795-03-04" ^^ xsd:date ) OPTIONAL {
    ?founder rdfs:label ?founderLabel
  }
}

Got 17 rows and 2 columns, showing the first 5 and last 5 rows below:
| founder                       | founderLabel         |
| ----------------------------- | -------------------- |
| Albert Gallatin (fb:m.01p369) | Albert Gallatin (de) |
| Albert Gallatin (fb:m.01p369) | Albert Gallatin (en) |
| Albert Gallatin (fb:m.01p369) | Albert Gallatin (es) |
| Albert Gallatin (fb:m.01p369) | Albert Gallatin (fr) |
| Albert Gallatin (fb:m.01p369) | Albert Gallatin (hu) |
| ...                           | ...                  |
| Albert Gallatin (fb:m.01p369) | ألبرت غلاتين (ar)    |
| Albert Gallatin (fb:m.01p369) | 앨버트 갤러틴 (ko)         |
| Albert Gallatin (fb:m.01p369) | アルバート・ギャラティン (ja)    |
| Albert Gallatin (fb:m.01p369) | 艾伯特·加勒廷 (zh)         |
| Albert Gallatin (fb:m.01p369) | 艾伯特·加勒廷 (zh-Hant)    |

Albert Gallatin is the founder of New York University who was a governmental officer prior to March 4, 1795.

[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:
freebase at http://galera:7002

You can use the following SPARQL prefixes implicitly in all functions:
fb: <http://rdf.freebase.com/ns/
fbkey: <http://rdf.freebase.com/key/
rdf: <http://www.w3.org/1999/02/22-rdf-syntax-ns#
rdfs: <http://www.w3.org/2000/01/rdf-schema#
owl: <http://www.w3.org/2002/07/owl#
xsd: <http://www.w3.org/2001/XMLSchema#
foaf: <http://xmlns.com/foaf/0.1/
skos: <http://www.w3.org/2004/02/skos/core#
dct: <http://purl.org/dc/terms/
dc: <http://purl.org/dc/elements/1.1/
prov: <http://www.w3.org/ns/prov#
schema: <http://schema.org/
geo: <http://www.opengis.net/ont/geosparql#
geosparql: <http://www.opengis.net/ont/geosparql#
gn: <http://www.geonames.org/ontology#
bd: <http://www.bigdata.com/rdf#
hint: <http://www.bigdata.com/queryHints#
wikibase: <http://wikiba.se/ontology#
qb: <http://purl.org/linked-data/cube#
void: <http://rdfs.org/ns/void#

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

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

[User] Who is the governmental officer prior to 3-4-1795 and founded New York University?

[Assistant]
Let's break down the question:

1. We are looking for a governmental officer (likely a person who held a government position).
2. The person must have held office prior to March 4, 1795.
3. The person must have founded New York University.

Step 1: Identify the entity for New York University.
Step 2: Find the founder(s) of New York University.
Step 3: For each founder, check if they were a governmental officer prior to 3-4-1795.

Let's start by searching for "New York University" in Freebase.

[Tool]
Top 10 entity alternatives:
1. New York University, also known as New York University, main campus, New York University, New York City, NYU (fb:m.0bwfn): New York University is a private, nonsectarian American research...eering members among its past and present graduates and faculty., has type College/University
2. New York University (fb:m.05wgs8x): has type Author
3. New York University Press (fb:m.02pnxch): New York University Press is a university press that is part of New York University., has type Publisher
4. University Gardens, also known as University Gardens, New York, Nassau County / University Gardens CDP (fb:m.0y3ct): University Gardens is a hamlet and census-designated place and p... a community in the western part of the Town of North Hempstead., has type US Census Designated Place
5. New York University Shanghai (fb:m.0j9n5bd): New York University Shanghai is jointly established by New York ...ependent registration status from China's Ministry of Education., has type College/University
6. NYU Violets, also known as New York University Violets (fb:m.02r119s): NYU Violets is the nickname of the sports teams and other compet... 23 varsity sports, as well as intramural sports and club teams.
7. University Heights, also known as University Heights, Bronx, University Heights, New York, University Heights, The Bronx (fb:m.07sxvt): University Heights is a neighborhood of the West Bronx in New Yo...perating along Jerome Avenue. ZIP codes include 10453 and 10468., has type Neighborhood
8. Syracuse University, New York (fb:m.06w_wr_): The Limeliters: ""There's A Meetin' Here Tonight,"" ""Wabash Can...me in the Room""   FINALE: ""Down By the Riverside"" (Everyone)., has type TV Episode
9. New York University Skopje (fb:m.0cpdy3h): has type College/University
10. New York University Archives (fb:m.0fp_hjn): The New York University Archives has served, since 1977, as the ...ional papers of New York University faculty; Special Collections

[Assistant]
The main entity for New York University is fb:m.0bwfn.

Next, I will look for the founders of New York University (fb:m.0bwfn).

[Tool]
Top 10 property alternatives:
1. Founders (fb:organization.organization.founders): links to type Organization founder, part of Organization schema
2. Date founded (fb:organization.organization.date_founded): part of Organization schema, links to type Date/Time
3. Member of (fb:organization.organization_member.member_of): links to type Organization membership, part of Organization member schema
4. Name (fb:type.object.name): part of Object schema, links to type Text
5. Leadership (fb:organization.organization.leadership): links to type Organization leadership, part of Organization schema
6. Board members (fb:organization.organization.board_members): links to type Organization governorship, part of Organization schema
7. Registered with (fb:organization.non_profit_organization.registered_with): links to type Non-profit registration, part of Nonprofit organization schema
8. Endowment (fb:organization.endowed_organization.endowment): part of Endowed Organization schema, links to type Dated Money Value
9. Headquarters (fb:organization.organization.headquarters): part of Organization schema, links to type Address
10. Type (fb:type.object.type): part of Object schema, links to type Type

No other items found

[Assistant]
The property for founders is fb:organization.organization.founders.

Next, I will list the founders of New York University using this property.

[Tool]
Got 2 rows and 3 columns:
| subject                          | property                                         | object                             |
| -------------------------------- | ------------------------------------------------ | ---------------------------------- |
| New York University (fb:m.0bwfn) | Founders (fb:organization.organization.founders) | Albert Gallatin (fb:m.01p369)      |
| New York University (fb:m.0bwfn) | Founders (fb:organization.organization.founders) | Mordecai Manuel Noah (fb:m.05m665) |

[Assistant]
The founders of New York University are Albert Gallatin (fb:m.01p369) and Mordecai Manuel Noah (fb:m.05m665).

Now, I need to determine if either of these individuals was a governmental officer prior to March 4, 1795.

Let's start by checking Albert Gallatin's governmental roles and relevant dates.

[Tool]
Top 10 property alternatives:
1. Government Positions Held (fb:government.politician.government_positions_held): links to type Government Position Held, part of Politician schema
2. Key (fb:type.object.key): part of Object schema, links to type Key
3. Party (fb:government.politician.party): links to type Political Party Tenure, part of Politician schema
4. Image (fb:common.topic.image): part of Topic schema, links to type Image
5. Country of nationality (fb:people.person.nationality): part of Person schema, links to type Country
6. Description (fb:common.topic.description): part of Topic schema, links to type Text
7. Organizations founded (fb:organization.organization_founder.organizations_founded): part of Organization founder schema, links to type Organization
8. Education (fb:people.person.education): links to type Education, part of Person schema
9. Article (fb:common.topic.article): links to type Document, part of Topic schema
10. Profession (fb:people.person.profession): links to type Profession, part of Person schema

No other items found

[Tool]
Got 3 rows and 3 columns:
| subject                       | property                                                                       | object       |
| ----------------------------- | ------------------------------------------------------------------------------ | ------------ |
| Albert Gallatin (fb:m.01p369) | Government Positions Held (fb:government.politician.government_positions_held) | fb:m.04kq1pk |
| Albert Gallatin (fb:m.01p369) | Government Positions Held (fb:government.politician.government_positions_held) | fb:m.09rfklv |
| Albert Gallatin (fb:m.01p369) | Government Positions Held (fb:government.politician.government_positions_held) | fb:m.0m1qpm6 |

[Assistant]
Albert Gallatin held three government positions (fb:m.04kq1pk, fb:m.09rfklv, fb:m.0m1qpm6).

Next, I need to find the dates associated with these positions to determine if any were held prior to March 4, 1795. I'll start by listing properties for one of these positions to look for start/end dates.

[Tool]
Got 10 rows and 3 columns:
| subject      | property                                                                                | object                                                            |
| ------------ | --------------------------------------------------------------------------------------------------------- | ----------------------------------------------------------------- |
| fb:m.04kq1pk | Type (fb:type.object.type)                                                                                | Government Position Held (fb:government.government_position_held) |
| fb:m.04kq1pk | Officeholder (fb:government.government_position_held.office_holder)                                       | Albert Gallatin (fb:m.01p369)                                     |
| fb:m.04kq1pk | Governmental body (if position is part of one) (fb:government.government_position_held.governmental_body) | United States Department of the Treasury (fb:m.0f1r9)             |
| fb:m.04kq1pk | From (fb:government.government_position_held.from)                                                        | 1801-05-14 (xsd:date)                                             |
| fb:m.04kq1pk | Office, position, or title (fb:government.government_position_held.office_position_or_title)              | United States Secretary of the Treasury (fb:m.0bw8r)              |
| fb:m.04kq1pk | Basic title (fb:government.government_position_held.basic_title)                                          | Cabinet Secretary (fb:m.02hvt_)                                   |
| fb:m.04kq1pk | Jurisdiction of office (fb:government.government_position_held.jurisdiction_of_office)                    | United States of America (fb:m.09c7w0)                            |
| fb:m.04kq1pk | To (fb:government.government_position_held.to)                                                            | 1814-02-08 (xsd:date)                                             |
| fb:m.04kq1pk | Appointed By (if Position is Appointed) (fb:government.government_position_held.appointed_by)             | Thomas Jefferson (fb:m.07cbs)                                     |
| fb:m.04kq1pk | rdf:type                                                                                | Government Position Held (fb:government.government_position_held) |

[Assistant] Albert Gallatin's position as United States Secretary of the Treasury started in 1801, which is after 1795. I will now check the other two positions (fb:m.09rfklv and fb:m.0m1qpm6) for their dates.

[Tool]
Got 11 rows and 3 columns, showing the first 10 rows below:
| subject      | property                                                                                | object                                                            |
| ------------ | -------------------------------------------------------------------------------------------------------------------- | ----------------------------------------------------------------- |
| fb:m.09rfklv | Type (fb:type.object.type)                                                                                | Government Position Held (fb:government.government_position_held) |
| fb:m.09rfklv | Officeholder (fb:government.government_position_held.office_holder)                                                  | Albert Gallatin (fb:m.01p369)                                     |
| fb:m.09rfklv | Governmental body (if position is part of one) (fb:government.government_position_held.governmental_body)            | United States Senate (fb:m.07t58)                                 |
| fb:m.09rfklv | From (fb:government.government_position_held.from)                                                                   | 1793-12-02 (xsd:date)                                             |
| fb:m.09rfklv | Office, position, or title (fb:government.government_position_held.office_position_or_title)                         | United States Senator (fb:m.02_7l8y)                              |
| fb:m.09rfklv | Basic title (fb:government.government_position_held.basic_title)                                                     | Senator (fb:m.048zv9l)                                            |
| fb:m.09rfklv | Jurisdiction of office (fb:government.government_position_held.jurisdiction_of_office)                               | United States of America (fb:m.09c7w0)                            |
| fb:m.09rfklv | District represented (if position is district-related) (fb:government.government_position_held.district_represented) | Pennsylvania (fb:m.05tbn)                                         |
| fb:m.09rfklv | To (fb:government.government_position_held.to)                                                                       | 1794-02-28 (xsd:date)                                             |
| fb:m.09rfklv | Legislative sessions (fb:government.government_position_held.legislative_sessions)                                   | 3rd United States Congress (fb:m.01grp0)                          |
| ...          | ...                                                                                | ...                                                               |

[Assistant]
Albert Gallatin served as a United States Senator from December 2, 1793, to February 28, 1794, which is prior to March 4, 1795.

Now, let's check Mordecai Manuel Noah for any governmental positions held prior to 1795.

[Tool]
Top 10 property alternatives:
1. Key (fb:type.object.key): part of Object schema, links to type Key
2. Image (fb:common.topic.image): part of Topic schema, links to type Image
3. Country of nationality (fb:people.person.nationality): part of Person schema, links to type Country
4. Description (fb:common.topic.description): part of Topic schema, links to type Text
5. Organizations founded (fb:organization.organization_founder.organizations_founded): part of Organization founder schema, links to type Organization
6. Article (fb:common.topic.article): links to type Document, part of Topic schema
7. Profession (fb:people.person.profession): links to type Profession, part of Person schema
8. Places lived (fb:people.person.places_lived): links to type Place lived, part of Person schema
9. Type (fb:type.object.type): part of Object schema, links to type Type
10. Name (fb:type.object.name): part of Object schema, links to type Text

No other items found

[Tool]
Top 10 property alternatives:
1. Country of nationality (fb:people.person.nationality): part of Person schema, links to type Country
2. Place of birth (fb:people.person.place_of_birth): links to type Location, part of Person schema
3. Profession (fb:people.person.profession): links to type Profession, part of Person schema
4. Date of birth (fb:people.person.date_of_birth): links to type Date/Time, part of Person schema
5. Image (fb:common.topic.image): part of Topic schema, links to type Image
6. Key (fb:type.object.key): part of Object schema, links to type Key
7. Type (fb:type.object.type): part of Object schema, links to type Type
8. Place of burial (fb:people.deceased_person.place_of_burial): links to type Place of interment, part of Deceased Person schema
9. Name (fb:type.object.name): part of Object schema, links to type Text
10. Date of death (fb:people.deceased_person.date_of_death): part of Deceased Person schema, links to type Date/Time

No other items found

[Tool]
Top 10 property alternatives:
1. Country of nationality (fb:people.person.nationality): part of Person schema, links to type Country
2. Profession (fb:people.person.profession): links to type Profession, part of Person schema
3. Place of birth (fb:people.person.place_of_birth): links to type Location, part of Person schema
4. Date of birth (fb:people.person.date_of_birth): links to type Date/Time, part of Person schema
5. Key (fb:type.object.key): part of Object schema, links to type Key
6. Date of death (fb:people.deceased_person.date_of_death): part of Deceased Person schema, links to type Date/Time
7. Place of death (fb:people.deceased_person.place_of_death): part of Deceased Person schema, links to type Location
8. Name (fb:type.object.name): part of Object schema, links to type Text
9. Image (fb:common.topic.image): part of Topic schema, links to type Image
10. Place of burial (fb:people.deceased_person.place_of_burial): links to type Place of interment, part of Deceased Person schema

No other items found

[Tool]
Got 140 rows and 3 columns, showing the first 10 rows below:
| subject                            | property                                                            | object                                                                   |
| ---------------------------------- | ------------------------------------------------------------------- | ------------------------------------------------------------------------ |
| Mordecai Manuel Noah (fb:m.05m665) | Type (fb:type.object.type)                                          | Topic (fb:common.topic)                                                  |
| Mordecai Manuel Noah (fb:m.05m665) | Key (fb:type.object.key)                                            | /authority/us/gov/loc/na/n79125741                                       |
| Mordecai Manuel Noah (fb:m.05m665) | Name (fb:type.object.name)                                          | Mordecai Manuel Noah (en)                                                |
| Mordecai Manuel Noah (fb:m.05m665) | Topic equivalent webpage (fb:common.topic.topic_equivalent_webpage) | <http://de.wikipedia.org/wiki/index.html?curid=5533876>                  |
| Mordecai Manuel Noah (fb:m.05m665) | Notable for (fb:common.topic.notable_for)                           | fb:g.1255tby8b                                                           |
| Mordecai Manuel Noah (fb:m.05m665) | Notable types (fb:common.topic.notable_types)                       | Organization founder (fb:m.02_77lg)                                      |
| Mordecai Manuel Noah (fb:m.05m665) | Description (fb:common.topic.description)                           | Mordecai Manuel Noah, diplomátic...the Jews, founded by Mordecai M. (es) |
| Mordecai Manuel Noah (fb:m.05m665) | Article (fb:common.topic.article)                                   | fb:m.05m66b                                                              |
| Mordecai Manuel Noah (fb:m.05m665) | Also known as (fb:common.topic.alias)                               | M. M. Noah (en)                                                          |
| Mordecai Manuel Noah (fb:m.05m665) | Gender (fb:people.person.gender)                                    | Male (fb:m.05zppz)                                                       |
| ...                                | ...                                                                 | ...                                                                      |

[Assistant]
There is no evidence in the available properties that Mordecai Manuel Noah held a governmental office prior to 1795 (or at all, based on the data returned).

Therefore, the only founder of New York University who was a governmental officer prior to March 4, 1795, is Albert Gallatin.

Now, I will write a SPARQL query that returns the founder(s) of New York University who held a government position with a start date before 1795-03-04, including their identifiers and optionally their labels.

[Tool] Stopped generation process


PREFIX fb: <http://rdf.freebase.com/ns/>
PREFIX rdfs: <http://www.w3.org/2000/01/rdf-schema#>
SELECT DISTINCT ?country ?province ?language WHERE {
  ?province rdfs:label ?provinceLabel .
  FILTER ( CONTAINS( LCASE( ?provinceLabel ) , "waldenburg" ) ) ?province fb:location.location.containedby ?region .
  ?region fb:location.location.containedby ?country .
  ?country fb:location.country.languages_spoken ?language .
  ?language fb:language.human_language.language_family fb:m.03489 .
  OPTIONAL {
    ?country rdfs:label ?countryLabel
  }
  OPTIONAL {
    ?province rdfs:label ?provinceLabel2
  }
  OPTIONAL {
    ?language rdfs:label ?languageLabel
  }
}

Got 10 rows and 3 columns:
| country                  | province                           | language                                 |
| ------------------------ | ---------------------------------- | ---------------------------------------- |
| Germany (fb:m.0345h)     | Waldenburg (fb:m.04pf5l)           | Bavarian Language (fb:m.0140n_)          |
| Germany (fb:m.0345h)     | Waldenburg (fb:m.04pf5l)           | Frisian, Northern Language (fb:m.02nt2n) |
| Germany (fb:m.0345h)     | Waldenburg (fb:m.04pf5l)           | German Language (fb:m.04306rv)           |
| Germany (fb:m.0345h)     | Waldenburg (fb:m.04pf5l)           | Saxon, Upper Language (fb:m.06d010)      |
| Germany (fb:m.0345h)     | Waldenburg (fb:m.04wsf2)           | Bavarian Language (fb:m.0140n_)          |
| Germany (fb:m.0345h)     | Waldenburg (fb:m.04wsf2)           | Frisian, Northern Language (fb:m.02nt2n) |
| Germany (fb:m.0345h)     | Waldenburg (fb:m.04wsf2)           | German Language (fb:m.04306rv)           |
| Germany (fb:m.0345h)     | Waldenburg (fb:m.04wsf2)           | Saxon, Upper Language (fb:m.06d010)      |
| Switzerland (fb:m.06mzp) | Waldenburg (fb:m.01_yjb)           | German Language (fb:m.04306rv)           |
| Switzerland (fb:m.06mzp) | Waldenburg District (fb:m.026tysp) | German Language (fb:m.04306rv)           |

Switzerland is the country that includes the province (district) of Waldenburg and speaks Germanic languages (such as German).

[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:
freebase at http://galera:7002

You can use the following SPARQL prefixes implicitly in all functions:
fb: <http://rdf.freebase.com/ns/
fbkey: <http://rdf.freebase.com/key/
rdf: <http://www.w3.org/1999/02/22-rdf-syntax-ns#
rdfs: <http://www.w3.org/2000/01/rdf-schema#
owl: <http://www.w3.org/2002/07/owl#
xsd: <http://www.w3.org/2001/XMLSchema#
foaf: <http://xmlns.com/foaf/0.1/
skos: <http://www.w3.org/2004/02/skos/core#
dct: <http://purl.org/dc/terms/
dc: <http://purl.org/dc/elements/1.1/
prov: <http://www.w3.org/ns/prov#
schema: <http://schema.org/
geo: <http://www.opengis.net/ont/geosparql#
geosparql: <http://www.opengis.net/ont/geosparql#
gn: <http://www.geonames.org/ontology#
bd: <http://www.bigdata.com/rdf#
hint: <http://www.bigdata.com/queryHints#
wikibase: <http://wikiba.se/ontology#
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 country includes the province of Waldenburg and speaks Germanic languages?

[Assistant]
Let's break down the question:

1. We need to identify the country that includes the province of Waldenburg.
2. The country must also have Germanic languages spoken.

Step 1: Search for "Waldenburg" in Freebase to identify the entity and its type (province, region, etc.).

[Tool]
Top 10 entity alternatives:
1. Waldenburg, also known as Waldenburg, Baden-Wurttemberg, Waldenburg, Baden-Württemberg (fb:m.04pf5l): Waldenburg is a hilltop town in south central Germany, eastwards...1945, at the end of World War II, and it has been rebuilt since., has type City/Town/Village
2. Waldenburg, also known as Waldenburg, Saxony (fb:m.04wsf2): Waldenburg is a town in the district Zwickau in Saxony, Germany....castle was owned by the House of Schönburg from 1378 until 1945., has type City/Town/Village
3. Waldenburg, also known as Poinsett County / Waldenburg town, Waldenburg, Arkansas (fb:m.0qwfl): Waldenburg is a town in Poinsett County, Arkansas, United States... is a member congregation of the Lutheran Church—Missouri Synod., has type City/Town/Village
4. Waldenburg, also known as Waldenburg, Switzerland (fb:m.01_yjb): Waldenburg is a municipality in the canton of Basel-Country in Switzerland, and the capital of the district of the same name., has type Administrative Division
5. Waldenburg, also known as Waldenburg, Michigan (fb:m.049zzkl): has type City/Town/Village
6. Waldenburg (fb:m.02k8v7c): has type Family name
7. Waldenburg District (fb:m.026tysp): Waldenburg District is one of the five districts of the largely ...on of 15,827. In average 150 persons live in a square kilometre., has type Administrative Division
8. Waldenburg railway, also known as Waldenburgerbahn, Waldenburg Railway (fb:m.0641kf0): The Waldenburg railway is a narrow-gauge light rail system in th...y steam-hauled trains until 1953, when electric operation began., has type Location
9. Louis Waldenburg (fb:m.03cn7s8): Louis Waldenburg was a German physician. Waldenburg was born in ...ant professor, and in 1877 department physician, at the Charité., has type Deceased Person
10. Louis Waldenburg (fb:m.0h0jttt)

[Assistant]
From the search results, the most relevant entities for "province of Waldenburg" are:

- Waldenburg, Switzerland (fb:m.01_yjb): a municipality in the canton of Basel-Country in Switzerland, and the capital of the district of the same name.
- Waldenburg District (fb:m.026tysp): one of the five districts of the largely ...on of 15,827.

Since the question refers to a "province," the Waldenburg District (fb:m.026tysp) or Waldenburg, Switzerland (fb:m.01_yjb) are the most likely candidates. Both are in Switzerland.

Step 2: Let's confirm which country the "Waldenburg District" (fb:m.026tysp) belongs to by listing its properties.

[Tool]
Got 194 rows and 3 columns, showing the first 10 rows below:
| subject                            | property                                                            | object                                                                   |
| ---------------------------------- | ------------------------------------------------------------------- | ------------------------------------------------------------------------ |
| Waldenburg District (fb:m.026tysp) | Type (fb:type.object.type)                                          | Topic (fb:common.topic)                                                  |
| Waldenburg District (fb:m.026tysp) | Key (fb:type.object.key)                                            | /en/waldenburg                                                           |
| Waldenburg District (fb:m.026tysp) | Name (fb:type.object.name)                                          | Bezirk Waldenburg (de)                                                   |
| Waldenburg District (fb:m.026tysp) | Topic equivalent webpage (fb:common.topic.topic_equivalent_webpage) | <http://ca.wikipedia.org/wiki/Districte_de_Waldenburg>                   |
| Waldenburg District (fb:m.026tysp) | Notable for (fb:common.topic.notable_for)                           | fb:g.125brlw4x                                                           |
| Waldenburg District (fb:m.026tysp) | Notable types (fb:common.topic.notable_types)                       | Administrative Division (fb:m.02hpz31)                                   |
| Waldenburg District (fb:m.026tysp) | Description (fb:common.topic.description)                           | Der Bezirk Waldenburg ist eine V...dschaft mit Hauptort Waldenburg. (de) |
| Waldenburg District (fb:m.026tysp) | Article (fb:common.topic.article)                                   | fb:m.026tyss                                                             |
| Waldenburg District (fb:m.026tysp) | Contained by (fb:location.location.containedby)                     | Basel-Landschaft (fb:m.0d7mt)                                            |
| Waldenburg District (fb:m.026tysp) | Contains (fb:location.location.contains)                            | Hölstein (fb:m.0g6d4l)                                                   |
| ...                                | ...                                                                 | ...                                                                      |

[Assistant]
From the properties, "Waldenburg District" (fb:m.026tysp) is contained by "Basel-Landschaft" (fb:m.0d7mt).

Next, let's check which country "Basel-Landschaft" belongs to.

[Tool]
Got 908 rows and 3 columns, showing the first 10 rows below:
| subject                       | property                                                            | object                                                                   |
| ----------------------------- | ------------------------------------------------------------------- | ------------------------------------------------------------------------ |
| Basel-Landschaft (fb:m.0d7mt) | Type (fb:type.object.type)                                          | Topic (fb:common.topic)                                                  |
| Basel-Landschaft (fb:m.0d7mt) | Key (fb:type.object.key)                                            | /authority/eurostat/nuts/CH032                                           |
| Basel-Landschaft (fb:m.0d7mt) | Name (fb:type.object.name)                                          | Basel Land (tr)                                                          |
| Basel-Landschaft (fb:m.0d7mt) | Topic equivalent webpage (fb:common.topic.topic_equivalent_webpage) | <http://ar.wikipedia.org/wiki/%43%27%46%2A%48%46_%31%4A%41_%28%27%32%44> |
| Basel-Landschaft (fb:m.0d7mt) | Notable for (fb:common.topic.notable_for)                           | fb:g.12575n1g7                                                           |
| Basel-Landschaft (fb:m.0d7mt) | Notable types (fb:common.topic.notable_types)                       | Administrative Division (fb:m.02hpz31)                                   |
| Basel-Landschaft (fb:m.0d7mt) | Description (fb:common.topic.description)                           | Bâle-Campagne est un canton situé au nord-ouest de la Suisse. (fr)       |
| Basel-Landschaft (fb:m.0d7mt) | Article (fb:common.topic.article)                                   | fb:m.0d7n3                                                               |
| Basel-Landschaft (fb:m.0d7mt) | Also known as (fb:common.topic.alias)                               | Bale Campagne (en)                                                       |
| Basel-Landschaft (fb:m.0d7mt) | Contained by (fb:location.location.containedby)                     | Switzerland (fb:m.06mzp)                                                 |
| ...                           | ...                                                                 | ...                                                                      |

[Assistant]
"Basel-Landschaft" (fb:m.0d7mt) is contained by "Switzerland" (fb:m.06mzp).

Step 3: Now, we need to check if Switzerland (fb:m.06mzp) has Germanic languages spoken. Let's search for properties related to "language" for Switzerland.

[Tool]
Top 10 property alternatives:
1. Languages spoken (fb:location.country.languages_spoken): links to type Human Language, part of Country schema
2. Official Language (fb:location.country.official_language): links to type Human Language, part of Country schema
3. Type (fb:base.biblioness.bibs_location.loc_type): part of Bibs Location schema, links to type Text
4. Type (fb:type.object.type): part of Object schema, links to type Type
5. Adjectival form (fb:location.location.adjectival_form): part of Location schema, links to type Text
6. Adjectival form (fb:freebase.linguistic_hint.adjectival_form): part of Linguistic hint schema, links to type Text
7. Adjectival form (fb:base.aareas.schema.administrative_area.adjectival_form): part of Administrative Area schema, links to type Text
8. Flag (fb:symbols.flag_referent.flag): part of Flag referent schema, links to type Flag use
9. Religions (fb:location.statistical_region.religions): links to type Religion percentage, part of Statistical region schema
10. Continent (fb:base.locations.countries.continent): links to type Continents, part of Countries schema

No other items found

[Assistant] The most relevant properties are "Languages spoken" (fb:location.country.languages_spoken) and "Official Language" (fb:location.country.official_language). Let's list the values for these properties for Switzerland (fb:m.06mzp) to see if any are Germanic languages.

[Tool]
Got 4 rows and 3 columns:
| subject                  | property                                                | object                          |
| ------------------------ | ------------------------------------------------------- | ------------------------------- |
| Switzerland (fb:m.06mzp) | Languages spoken (fb:location.country.languages_spoken) | French (fb:m.064_8sq)           |
| Switzerland (fb:m.06mzp) | Languages spoken (fb:location.country.languages_spoken) | German Language (fb:m.04306rv)  |
| Switzerland (fb:m.06mzp) | Languages spoken (fb:location.country.languages_spoken) | Italian Language (fb:m.02bjrlw) |
| Switzerland (fb:m.06mzp) | Languages spoken (fb:location.country.languages_spoken) | Romansh language (fb:m.06ctk)   |

[Tool]
Got 4 rows and 3 columns:
| subject                  | property                                                  | object                          |
| ------------------------ | --------------------------------------------------------- | ------------------------------- |
| Switzerland (fb:m.06mzp) | Official Language (fb:location.country.official_language) | French (fb:m.064_8sq)           |
| Switzerland (fb:m.06mzp) | Official Language (fb:location.country.official_language) | German Language (fb:m.04306rv)  |
| Switzerland (fb:m.06mzp) | Official Language (fb:location.country.official_language) | Italian Language (fb:m.02bjrlw) |
| Switzerland (fb:m.06mzp) | Official Language (fb:location.country.official_language) | Romansh language (fb:m.06ctk)   |

[Tool]
Got 1,551 rows and 3 columns, showing the first 10 rows below:
| subject                        | property                                                            | object                                                                   |
| ------------------------------ | ------------------------------------------------------------------- | ------------------------------------------------------------------------ |
| German Language (fb:m.04306rv) | Type (fb:type.object.type)                                          | Topic (fb:common.topic)                                                  |
| German Language (fb:m.04306rv) | Key (fb:type.object.key)                                            | /authority/iso/639_1/de                                                  |
| German Language (fb:m.04306rv) | Name (fb:type.object.name)                                          | Alemany (ca)                                                             |
| German Language (fb:m.04306rv) | Topic equivalent webpage (fb:common.topic.topic_equivalent_webpage) | <http://ar.wikipedia.org/wiki/%44%3A%29_%23%44%45%27%46%4A%29>           |
| German Language (fb:m.04306rv) | Notable for (fb:common.topic.notable_for)                           | fb:g.125ft31s0                                                           |
| German Language (fb:m.04306rv) | Notable types (fb:common.topic.notable_types)                       | Human Language (fb:m.0358)                                               |
| German Language (fb:m.04306rv) | Description (fb:common.topic.description)                           | A língua alemã ou alemão é uma l... a forma de numerosos dialectos. (pt) |
| German Language (fb:m.04306rv) | Article (fb:common.topic.article)                                   | fb:m.03493                                                               |
| German Language (fb:m.04306rv) | Also known as (fb:common.topic.alias)                               | Deutsch (en)                                                             |
| German Language (fb:m.04306rv) | Image (fb:common.topic.image)                                       | NamibiaDeutscheSprache (fb:m.02ds2gl)                                    |
| ...                            | ...                                                                 | ...                                                                      |

[Tool] Got no rows and 3 columns

[Tool]
Top 10 entity alternatives:
1. Germanic language (fb:m.07r7jhc)
2. Germanic languages (fb:m.03489): The Germanic languages are a branch of the Indo-European languag...h 42 belong to the Western branch, and 6 to the Northern branch., has type Language Family
3. Germanic parent language (fb:m.03cyssx): In historical linguistics, the Germanic parent language includes...s of Elzbieta Adamczyk, Jonathan Slocum, and Winfred P. Lehmann.
4. Germanic languages (fb:m.0bp95lx)
5. Germanic languages (fb:m.02915jr)
6. Germanic languages--Etymology (fb:m.0bn_sqp)
7. Germanic languages--History (fb:m.0bpht__)
8. Germanic languages--Phonology (fb:m.0bq30_7)
9. Germanic languages--Grammar (fb:m.0bprnjr)
10. Germanic languages--Semantics (fb:m.0bp0kfr)

[Tool] Got no rows and 3 columns

[Tool]
Got 1,551 rows and 3 columns, showing the first 10 rows below:
| subject                        | property                                                            | object                                                                   |
| ------------------------------ | ------------------------------------------------------------------- | ------------------------------------------------------------------------ |
| German Language (fb:m.04306rv) | Type (fb:type.object.type)                                          | Topic (fb:common.topic)                                                  |
| German Language (fb:m.04306rv) | Key (fb:type.object.key)                                            | /authority/iso/639_1/de                                                  |
| German Language (fb:m.04306rv) | Name (fb:type.object.name)                                          | Alemany (ca)                                                             |
| German Language (fb:m.04306rv) | Topic equivalent webpage (fb:common.topic.topic_equivalent_webpage) | <http://ar.wikipedia.org/wiki/%44%3A%29_%23%44%45%27%46%4A%29>           |
| German Language (fb:m.04306rv) | Notable for (fb:common.topic.notable_for)                           | fb:g.125ft31s0                                                           |
| German Language (fb:m.04306rv) | Notable types (fb:common.topic.notable_types)                       | Human Language (fb:m.0358)                                               |
| German Language (fb:m.04306rv) | Description (fb:common.topic.description)                           | A língua alemã ou alemão é uma l... a forma de numerosos dialectos. (pt) |
| German Language (fb:m.04306rv) | Article (fb:common.topic.article)                                   | fb:m.03493                                                               |
| German Language (fb:m.04306rv) | Also known as (fb:common.topic.alias)                               | Deutsch (en)                                                             |
| German Language (fb:m.04306rv) | Image (fb:common.topic.image)                                       | NamibiaDeutscheSprache (fb:m.02ds2gl)                                    |
| ...                            | ...                                                                 | ...                                                                      |

[Tool]
Got 3 rows and 3 columns:
| subject                        | property                                                     | object                                |
| ------------------------------ | ------------------------------------------------------------ | ------------------------------------- |
| German Language (fb:m.04306rv) | Language Family (fb:language.human_language.language_family) | Indo-European languages (fb:m.03v09)  |
| German Language (fb:m.04306rv) | Language Family (fb:language.human_language.language_family) | Germanic languages (fb:m.03489)       |
| German Language (fb:m.04306rv) | Language Family (fb:language.human_language.language_family) | West Germanic languages (fb:m.0140qt) |

[Assistant]
We have confirmed that:

- The province (district) of Waldenburg is in Switzerland.
- Switzerland speaks German (a Germanic language).

Now, let's construct a SPARQL query that finds countries that:
1. Contain an administrative division (province/district) named "Waldenburg" (or containing "Waldenburg" in its name).
2. Speak at least one language that is a Germanic language.

We will use the following entities:
- Waldenburg District (fb:m.026tysp)
- Switzerland (fb:m.06mzp)
- Germanic languages (fb:m.03489)

Let's write a query that returns the country, the province, and the language, ensuring the language is a Germanic language.

Here is the final SPARQL query:

[Tool] Stopped generation process