PREFIX fb: <http://rdf.freebase.com/ns/>
SELECT DISTINCT ?temple ?templeName ?geo ?location ?locationName WHERE {
  fb:m.03f34_ fb:architecture.building_function.buildings ?temple .
  OPTIONAL {
    ?temple fb:location.location.geolocation ?geo .
  }
  OPTIONAL {
    ?temple fb:location.location.containedby ?location .
    ?location fb:type.object.name ?locationName
    FILTER ( lang( ?locationName ) = 'en' )
  }
  OPTIONAL {
    ?temple fb:type.object.name ?templeName FILTER ( lang( ?templeName ) = 'en' )
  }
}

Got 18 rows and 5 columns, showing the first 5 and last 5 rows below:
| temple                                             | templeName                                | geo          | location                        | locationName             |
| -------------------------------------------------- | ----------------------------------------- | ------------ | ------------------------------- | ------------------------ |
| Erechtheion (fb:m.01ppgb)                          | Erechtheion (en)                          | fb:m.02_sydx | Greece (fb:m.035qy)             | Greece (en)              |
| Erechtheion (fb:m.01ppgb)                          | Erechtheion (en)                          | fb:m.02_sydx | Athens (fb:m.0n2z)              | Athens (en)              |
| Erechtheion (fb:m.01ppgb)                          | Erechtheion (en)                          | fb:m.02_sydx | Acropolis of Athens (fb:m.0wjj) | Acropolis of Athens (en) |
| Temple of Zeus, Olympia (fb:m.02p788n)             | Temple of Zeus, Olympia (en)              | fb:m.02_t4hj | Ancient Greece (fb:m.0hkt6)     | Ancient Greece (en)      |
| Old Temple of Athena (fb:m.02q23ht)                | Old Temple of Athena (en)                 | fb:m.0wmt0lt | Athens (fb:m.0n2z)              | Athens (en)              |
| ...                                                | ...                                       | ...          | ...                             | ...                      |
| Temple of Apollo Epikauros at Bassae (fb:m.0dx_h8) | Temple of Apollo Epikauros at Bassae (en) |              | Bassae (fb:m.06v230)            | Bassae (en)              |
| Temple of Aphaea (fb:m.0h27sm)                     | Temple of Aphaea (en)                     | fb:m.0cqr4qf | Aegina (fb:m.0_tn)              | Aegina (en)              |
| Temple of Artemis, Corfu (fb:m.0h684kl)            | Temple of Artemis, Corfu (en)             | fb:m.0wmhdck | Ionian Islands (fb:m.01s2g1)    | Ionian Islands (en)      |
| Temple of Artemis (fb:m.0j4v_)                     | Temple of Artemis (en)                    | fb:m.02_vf0w | Turkey (fb:m.01znc_)            | Turkey (en)              |
| Temple of Artemis (fb:m.0j4v_)                     | Temple of Artemis (en)                    | fb:m.02_vf0w | Ephesus (fb:m.02p8r)            | Ephesus (en)             |

Greek temples, specifically Ancient Greek temples, were built in various locations. The temples have direct geolocation coordinates and are also contained within broader locations. Examples of locations include Greece, Athens, Acropolis of Athens, Ancient Greece, Bassae, Aegina, Ionian Islands, Turkey, and Ephesus. The query retrieves the temple names, their geolocations, and the English names of the broader locations where they were built.

[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 https://qlever.cs.uni-freiburg.de/api/freebase

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 were greek temples built?

[Assistant] Let's start by looking at some similar examples.

[Tool]
Example 1:
Question:
where is the nation of greece located?

SPARQL:
SELECT DISTINCT ?x WHERE {
  FILTER ( ?x != fb:m.035qy ) FILTER ( ! isLiteral( ?x ) || lang( ?x ) = '' || langMatches( lang( ?x ) , 'en' ) ) fb:m.035qy fb:location.location.containedby ?x .
}

Using entities:
Greece, also known as Hellas, Hellenic Republic (fb:m.035qy): Greece, officially the Hellenic Republic and known since ancient...ntainous, of which Mount Olympus is the highest peak at 2,917 m., has type Country

Using properties:
Contained by (fb:location.location.containedby): part of Location schema, links to type Location

Example 2:
Question:
where is the nation of greece located?

SPARQL:
SELECT DISTINCT ?x WHERE {
  FILTER ( ?x != fb:m.035qy ) FILTER ( ! isLiteral( ?x ) || lang( ?x ) = '' || langMatches( lang( ?x ) , 'en' ) ) fb:m.035qy fb:base.locations.countries.continent ?x .
}

Using entities:
Greece, also known as Hellas, Hellenic Republic (fb:m.035qy): Greece, officially the Hellenic Republic and known since ancient...ntainous, of which Mount Olympus is the highest peak at 2,917 m., has type Country

Using properties:
Continent (fb:base.locations.countries.continent): links to type Continents, part of Countries schema

Example 3:
Question:
which island in greece?

SPARQL:
SELECT DISTINCT ?x WHERE {
  FILTER ( ?x != fb:m.035qy ) FILTER ( ! isLiteral( ?x ) || lang( ?x ) = '' || langMatches( lang( ?x ) , 'en' ) ) fb:m.035qy fb:base.aareas.schema.administrative_area.administrative_children ?x .
  ?x fb:common.topic.notable_types fb:m.01xxv5b .
}

Using entities:
Island Group, also known as archipelago, atoll (fb:m.01xxv5b): An island group is a chain or other grouping of islands.
Greece, also known as Hellas, Hellenic Republic (fb:m.035qy): Greece, officially the Hellenic Republic and known since ancient...ntainous, of which Mount Olympus is the highest peak at 2,917 m., has type Country

Using properties:
Administrative children (fb:base.aareas.schema.administrative_area.administrative_children): part of Administrative Area schema, links to type Administrative Area
Notable types (fb:common.topic.notable_types): part of Topic schema, links to type Type

[Assistant]
The examples found are about the location of Greece and its administrative areas, but none directly address where Greek temples were built.

Next, I will search for the entity "Greek temple" in the knowledge graph to see if there is a specific entity for it. This will help me identify relevant properties related to the locations of Greek temples.

[Tool]
Top 10 entity alternatives:
1. Greek Temple (fb:m.0zk2rpk): has type Composition
2. Greek Temple (fb:m.0rpk98): has type Musical Recording
3. Greek Temple (fb:m.0rpkbl): has type Musical Recording
4. Greek Temple (fb:m.0qcqzv8)
5. Greek Temple (fb:m.0qk2qwh)
6. Ancient Greek temple (fb:m.03f34_): Greek temples were structures built to house deity statues withi...tian tradition. Most Greek temples were oriented astronomically., has type Building function
7. Greek Temple II (fb:m.0rpkcp): has type Musical Recording
8. Greek Temple II (fb:m.0zh587g): has type Composition
9. Greek Temple II (fb:m.0qhwdpn)
10. Temples, Greek (fb:m.0bq2n64)

[Assistant]
There is an entity "Ancient Greek temple" (fb:m.03f34_) which is described as Greek temples being structures built to house deity statues and most were oriented astronomically. This entity seems to be the most relevant to the question.

Next, I will search for properties of the entity "Ancient Greek temple" to find any property related to the location or place where these temples were built.

[Tool]
Top 10 property alternatives:
1. Name (fb:type.object.name): part of Object schema, links to type Text
2. Description (fb:common.topic.description): part of Topic schema, links to type Text
3. Image (fb:common.topic.image): part of Topic schema, links to type Image
4. Buildings (fb:architecture.building_function.buildings): part of Building function schema, links to type Building
5. Key (fb:type.object.key): part of Object schema, links to type Key
6. Article (fb:common.topic.article): links to type Document, part of Topic schema
7. Type (fb:type.object.type): part of Object schema, links to type Type
8. Descriptive name (fb:base.descriptive_names.names.descriptive_name): links to type Plural form, part of Names schema
9. Ellerdale ID (fb:user.avh.default_domain.ellerdale_topic.ellerdale_id): part of Ellerdale Topic schema, links to type Enumeration
10. Notable types (fb:common.topic.notable_types): part of Topic schema, links to type Type

No other items found

[Assistant] The entity "Ancient Greek temple" does not seem to have a direct property related to location or place where they were built. I will try a different approach and search for properties related to "location" or "place" in general to see if there is a property that can be linked to the entity "Ancient Greek temple."

[Tool]
Top 10 property alternatives:
1. Location (fb:base.localfood.produce_availability.location): links to type Food producing region, part of Produce availability schema
2. Location (fb:base.arthist.int_zm_nyek.helynev): part of Intézmények schema, links to type Helynevek
3. Location (fb:base.militaryinfiction.event_in_fiction.location): links to type Location in Fiction, part of Event in Fiction schema
4. Location (fb:user.robert.earthquakes.earthquake_nearest_location.location): part of Earthquake nearest location schema, links to type Earthquake epicenter
5. location (fb:base.cimis.weather_station.location): part of Weather Station schema, links to type Geocode
6. Location (fb:base.virology.biological_sample.location): part of Biological Sample schema, links to type Location
7. Location (fb:fictional_universe.event_in_fiction.location): links to type Fictional Setting, part of Event in fiction schema
8. Location (fb:base.litcentral.source_feature_taxa.location): part of Source feature taxa schema, links to type Focal location
9. Location (fb:user.alecf.car_sharing.vehicle_location_value.location): part of Vehicle Location Value schema, links to type Share Location
10. Location (fb:broadcast.content.location): part of Broadcast Content schema, links to type Location

[Assistant] The search for properties related to "location" returned many properties, but none seem directly related to buildings or temples. I will try searching for properties related to "place" to see if there is a more relevant property for the location of Greek temples.

[Tool]
Top 10 property alternatives:
1. place (fb:user.amkkouz.default_domain.live_in.place): links to type Location, part of live In schema
2. place (fb:user.basefree.default_domain.myplace.place): part of myplace schema, links to type place
3. Place (fb:base.aubreymaturin.place_mention.place): part of Place mention schema, links to type Place
4. Place (fb:base.horseracing.race_results.place): part of Race results schema, links to type Place
5. Place (fb:location.hud_county_place.place): part of HUD County Place schema, links to type Location
6. places (fb:base.cycleroute.cycle_route.places): part of Cycle Route schema, links to type Location
7. Places (fb:base.aubreymaturin.book.places): links to type Place mention, part of Book schema
8. Place Written (fb:user.irmorales.default_domain.townsend_letter.place_written): part of Letter, Cabaniss Papers schema, links to type Machine readable string
9. Place Recorded (fb:music.recording.place): part of Musical Recording schema, links to type Location
10. Place recorded (fb:base.sounds.audio_recording.place_recorded): links to type Audio Recording Location, part of Audio Recording schema

[Assistant]
The search for properties related to "place" also returned many properties, but none seem directly related to the location of buildings or temples.

Since there is no direct property for the location of Greek temples, I will try to find instances of Ancient Greek temples and see if they have location information. I will search for instances of the entity "Ancient Greek temple" to see if there are specific temples with location data.

[Tool]
Got 271 rows and 3 columns, showing the first 10 rows below:
| subject                            | property                                                               | object                                                                           |
| ---------------------------------- | ---------------------------------------------------------------------- | -------------------------------------------------------------------------------- |
| Ancient Greek temple (fb:m.03f34_) | Type (fb:type.object.type)                                             | Topic (fb:common.topic)                                                          |
| Ancient Greek temple (fb:m.03f34_) | Key (fb:type.object.key)                                               | /en/greek_temple                                                                 |
| Ancient Greek temple (fb:m.03f34_) | Name (fb:type.object.name)                                             | Ancient Greek temple (en)                                                        |
| Ancient Greek temple (fb:m.03f34_) | Topic equivalent webpage (fb:common.topic.topic_equivalent_webpage)    | <http://ar.wikipedia.org/wiki/%27%44%45%39%27%28%2F_%27%44%4A%48%46%27%46%4A%29> |
| Ancient Greek temple (fb:m.03f34_) | Notable for (fb:common.topic.notable_for)                              | fb:g.1255n9_v7                                                                   |
| Ancient Greek temple (fb:m.03f34_) | Notable types (fb:common.topic.notable_types)                          | Building function (fb:m.02b8yh9)                                                 |
| Ancient Greek temple (fb:m.03f34_) | Description (fb:common.topic.description)                              | Der griechische Tempel ist urspr...t über 20 Meter Höhe erreichten. (de)         |
| Ancient Greek temple (fb:m.03f34_) | Article (fb:common.topic.article)                                      | fb:m.03f355                                                                      |
| Ancient Greek temple (fb:m.03f34_) | Image (fb:common.topic.image)                                          | Athens Acropolis (fb:m.05pjk_s)                                                  |
| Ancient Greek temple (fb:m.03f34_) | Ellerdale ID (fb:user.avh.default_domain.ellerdale_topic.ellerdale_id) | 009c-4201                                                                        |
| ...                                | ...                                                                    | ...                                                                              |

[Assistant]
The entity "Ancient Greek temple" itself does not have direct location information. I will now try to find specific ancient Greek temples (instances or examples) and check if they have location information.

I will search for entities that are instances or examples of Ancient Greek temples.

[Tool] Got no rows and 3 columns

[Assistant]
There are no direct instances of Ancient Greek temples using the property fb:type.object.type.

I will try to find buildings related to Ancient Greek temples by searching for properties of Ancient Greek temple that might link to buildings or specific temples.

[Tool]
Got 14 rows and 3 columns, showing the first 10 rows below:
| subject                            | property                                                | object                                       |
| ---------------------------------- | ------------------------------------------------------- | -------------------------------------------- |
| Ancient Greek temple (fb:m.03f34_) | Buildings (fb:architecture.building_function.buildings) | Temple of Artemis (fb:m.0j4v_)               |
| Ancient Greek temple (fb:m.03f34_) | Buildings (fb:architecture.building_function.buildings) | Erechtheion (fb:m.01ppgb)                    |
| Ancient Greek temple (fb:m.03f34_) | Buildings (fb:architecture.building_function.buildings) | Temple of Olympian Zeus, Athens (fb:m.05kg8) |
| Ancient Greek temple (fb:m.03f34_) | Buildings (fb:architecture.building_function.buildings) | Temple of Zeus, Olympia (fb:m.02p788n)       |
| Ancient Greek temple (fb:m.03f34_) | Buildings (fb:architecture.building_function.buildings) | Temple of Aphaea (fb:m.0h27sm)               |
| Ancient Greek temple (fb:m.03f34_) | Buildings (fb:architecture.building_function.buildings) | Old Temple of Athena (fb:m.02q23ht)          |
| Ancient Greek temple (fb:m.03f34_) | Buildings (fb:architecture.building_function.buildings) | Temple of Apollo Patroos (fb:m.047bxg8)      |
| Ancient Greek temple (fb:m.03f34_) | Buildings (fb:architecture.building_function.buildings) | Temple of Aphrodite Urania (fb:m.047f7f9)    |
| Ancient Greek temple (fb:m.03f34_) | Buildings (fb:architecture.building_function.buildings) | Second Temple of Hera (fb:m.04gr39q)         |
| Ancient Greek temple (fb:m.03f34_) | Buildings (fb:architecture.building_function.buildings) | Temple of Artemis, Corfu (fb:m.0h684kl)      |
| ...                                | ...                                                     | ...                                          |

[Assistant]
The entity "Ancient Greek temple" has a property "Buildings" that links to specific Greek temples such as Temple of Artemis, Erechtheion, Temple of Olympian Zeus, and others.

I will now check the location of one of these specific temples, for example, the Temple of Artemis (fb:m.0j4v_). I will look for properties of this temple that might indicate its location.

[Tool]
Got 722 rows and 3 columns, showing the first 10 rows below:
| subject                        | property                                                            | object                                                                   |
| ------------------------------ | ------------------------------------------------------------------- | ------------------------------------------------------------------------ |
| Temple of Artemis (fb:m.0j4v_) | Type (fb:type.object.type)                                          | Topic (fb:common.topic)                                                  |
| Temple of Artemis (fb:m.0j4v_) | Key (fb:type.object.key)                                            | /en/temple_of_artemis                                                    |
| Temple of Artemis (fb:m.0j4v_) | Name (fb:type.object.name)                                          | Artemīdas templis (lv)                                                   |
| Temple of Artemis (fb:m.0j4v_) | Topic equivalent webpage (fb:common.topic.topic_equivalent_webpage) | <http://ar.wikipedia.org/wiki/%47%4A%43%44_%22%31%2A%45%4A%33>           |
| Temple of Artemis (fb:m.0j4v_) | Notable for (fb:common.topic.notable_for)                           | fb:g.125ctnl54                                                           |
| Temple of Artemis (fb:m.0j4v_) | Notable types (fb:common.topic.notable_types)                       | Tourist attraction (fb:m.03yw861)                                        |
| Temple of Artemis (fb:m.0j4v_) | Description (fb:common.topic.description)                           | Artemīdas templis bija grieķu te...aču 268. gadā to izpostīja goti. (lv) |
| Temple of Artemis (fb:m.0j4v_) | Article (fb:common.topic.article)                                   | fb:m.0j4w9                                                               |
| Temple of Artemis (fb:m.0j4v_) | Also known as (fb:common.topic.alias)                               | Diana Tapınağı (tr)                                                      |
| Temple of Artemis (fb:m.0j4v_) | Contained by (fb:location.location.containedby)                     | Turkey (fb:m.01znc_)                                                     |
| ...                            | ...                                                                 | ...                                                                      |

[Assistant]
The Temple of Artemis (fb:m.0j4v_) has a property "Contained by" (fb:location.location.containedby) with the value Turkey (fb:m.01znc_). This indicates the location where this Greek temple was built.

I will now write a SPARQL query to find the locations where Greek temples (Ancient Greek temples) were built by retrieving the locations of the buildings linked to Ancient Greek temple.

[Tool]
Got 342 rows and 2 columns, showing the first 5 and last 5 rows below:
| location                        | locationName         |
| ------------------------------- | -------------------- |
| Ionian Islands (fb:m.01s2g1)    | De joniske øyer (no) |
| Ionian Islands (fb:m.01s2g1)    | Îles Ioniennes (fr)  |
| Ionian Islands (fb:m.01s2g1)    | Ilhas Jónicas (pt)   |
| Ionian Islands (fb:m.01s2g1)    | Illes Jòniques (ca)  |
| Ionian Islands (fb:m.01s2g1)    | Insulele Ionice (ro) |
| ...                             | ...                  |
| Acropolis of Athens (fb:m.0wjj) | أكروبوليس أثينا (ar) |
| Acropolis of Athens (fb:m.0wjj) | 아크로폴리스 (ko)          |
| Acropolis of Athens (fb:m.0wjj) | アテナイのアクロポリス (ja)     |
| Acropolis of Athens (fb:m.0wjj) | 雅典卫城 (zh)            |
| Acropolis of Athens (fb:m.0wjj) | 雅典衛城 (zh-Hant)       |

[Tool] Stopped generation process

[User]
Feedback (status=refine):
The SPARQL query correctly identifies locations where Greek temples were built and returns their identifiers and names. However, the query uses the property fb:location.location.containedby which may return broader locations containing the temples rather than the direct locations of the temples themselves. It would be better to use a more direct property linking the temple to its location, such as fb:architecture.building_function.building.location or a similar direct location property if available. Also, the query returns multiple labels in different languages for the same location, which is redundant. It would be better to restrict to one language or use an OPTIONAL clause to get the English label only. This would make the answer clearer and more user-friendly. Overall, the answer is correct but the query can be refined for precision and clarity.

[Assistant]
Thank you for the feedback. I will refine the query to use a more direct property for the location of the temples if available, and restrict the labels to English only to avoid redundancy.

First, I will search for properties related to "location" or "place" specifically for the buildings (temples) to find a more direct location property.

[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. Architect (fb:architecture.structure.architect): part of Structure schema, links to type Architect

No other items found

[Assistant]
The property "fb:location.location.geolocation" seems to be a more direct property related to the location of the temple. However, it links to a geocode rather than a named location.

I will check if the temple has a property linking to a named location directly or if the geolocation can be linked to a named location.

I will now check the geolocation value for the Temple of Artemis to see if it can be linked to a named location.

[Tool]
Got 1 row and 3 columns:
| subject                        | property                                       | object       |
| ------------------------------ | ---------------------------------------------- | ------------ |
| Temple of Artemis (fb:m.0j4v_) | Geolocation (fb:location.location.geolocation) | fb:m.02_vf0w |

[Assistant] The Temple of Artemis has a geolocation value fb:m.02_vf0w. I will now check the properties of this geolocation entity to see if it links to a named location.

[Tool]
Got 4 rows and 3 columns:
| subject      | property                                  | object                        |
| ------------ | ----------------------------------------- | ----------------------------- |
| fb:m.02_vf0w | Type (fb:type.object.type)                | Geocode (fb:location.geocode) |
| fb:m.02_vf0w | Latitude (fb:location.geocode.latitude)   | 37.949722                     |
| fb:m.02_vf0w | Longitude (fb:location.geocode.longitude) | 27.363889                     |
| fb:m.02_vf0w | rdf:type                                  | Geocode (fb:location.geocode) |

[Assistant]
The geolocation entity fb:m.02_vf0w only contains latitude and longitude coordinates and does not link to a named location.

Given this, I will refine the query to use the direct geolocation property for the temples and also retrieve the broader location using "containedby" as an optional property. I will restrict the location names to English only to avoid redundancy.

[Tool]
Got 18 rows and 5 columns, showing the first 5 and last 5 rows below:
| temple                                             | templeName                                | geo          | location                        | locationName             |
| -------------------------------------------------- | ----------------------------------------- | ------------ | ------------------------------- | ------------------------ |
| Erechtheion (fb:m.01ppgb)                          | Erechtheion (en)                          | fb:m.02_sydx | Greece (fb:m.035qy)             | Greece (en)              |
| Erechtheion (fb:m.01ppgb)                          | Erechtheion (en)                          | fb:m.02_sydx | Athens (fb:m.0n2z)              | Athens (en)              |
| Erechtheion (fb:m.01ppgb)                          | Erechtheion (en)                          | fb:m.02_sydx | Acropolis of Athens (fb:m.0wjj) | Acropolis of Athens (en) |
| Temple of Zeus, Olympia (fb:m.02p788n)             | Temple of Zeus, Olympia (en)              | fb:m.02_t4hj | Ancient Greece (fb:m.0hkt6)     | Ancient Greece (en)      |
| Old Temple of Athena (fb:m.02q23ht)                | Old Temple of Athena (en)                 | fb:m.0wmt0lt | Athens (fb:m.0n2z)              | Athens (en)              |
| ...                                                | ...                                       | ...          | ...                             | ...                      |
| Temple of Apollo Epikauros at Bassae (fb:m.0dx_h8) | Temple of Apollo Epikauros at Bassae (en) |              | Bassae (fb:m.06v230)            | Bassae (en)              |
| Temple of Aphaea (fb:m.0h27sm)                     | Temple of Aphaea (en)                     | fb:m.0cqr4qf | Aegina (fb:m.0_tn)              | Aegina (en)              |
| Temple of Artemis, Corfu (fb:m.0h684kl)            | Temple of Artemis, Corfu (en)             | fb:m.0wmhdck | Ionian Islands (fb:m.01s2g1)    | Ionian Islands (en)      |
| Temple of Artemis (fb:m.0j4v_)                     | Temple of Artemis (en)                    | fb:m.02_vf0w | Turkey (fb:m.01znc_)            | Turkey (en)              |
| Temple of Artemis (fb:m.0j4v_)                     | Temple of Artemis (en)                    | fb:m.02_vf0w | Ephesus (fb:m.02p8r)            | Ephesus (en)             |

[Tool] Stopped generation process

[User]
Feedback (status=done):
The SPARQL query correctly retrieves Greek temples along with their geolocations and the broader locations they are contained within. The answer provides a good overview of where Greek temples were built, listing relevant locations such as Greece, Athens, Acropolis of Athens, and others. The query follows the rules by returning identifiers and optional labels, and the result is relevant and complete for the question asked. No further refinement is necessary.


PREFIX fb: <http://rdf.freebase.com/ns/>
SELECT DISTINCT ?timeZone WHERE {
  fb:m.09c17 fb:location.location.time_zones ?timeZone .
}

The time zone of Bangalore is "India Time Zone" (fb:m.02k8gd). However, Freebase does not provide the current time directly. It only provides static information like the time zone.

Since the current time is dynamic and not stored in Freebase, I cannot provide the current time in Bangalore using a SPARQL query on Freebase.

Would you like me to provide the time zone information for Bangalore instead? Or is there anything else I can assist you with?

[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 https://qlever.cs.uni-freiburg.de/api/freebase

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] what is the current time in bangalore india?

[Assistant] Let's start by looking at some similar examples.

[Tool]
Example 1:
Question:
what is the actual current local time now in uk?

SPARQL:
SELECT DISTINCT ?x WHERE {
  FILTER ( ?x != fb:m.07ssc ) FILTER ( ! isLiteral( ?x ) || lang( ?x ) = '' || langMatches( lang( ?x ) , 'en' ) ) fb:m.07ssc fb:location.location.time_zones ?x .
}

Using entities:
United Kingdom, also known as United Kingdom of Great Britain and Northern Ireland, United Kingdom of Great Britain and Ireland, United Kingdom of Great Britain, UK, U.K. (fb:m.07ssc): The United Kingdom of Great Britain and Northern Ireland, common...urth-largest in Europe and second-largest in the European Union., has type Country

Using properties:
Time zone(s) (fb:location.location.time_zones): links to type Time Zone, part of Location schema

Example 2:
Question:
what time zone is the uk in right now?

SPARQL:
SELECT DISTINCT ?x WHERE {
  FILTER ( ?x != fb:m.07ssc ) FILTER ( ! isLiteral( ?x ) || lang( ?x ) = '' || langMatches( lang( ?x ) , 'en' ) ) fb:m.07ssc fb:location.location.time_zones ?x .
}

Using entities:
United Kingdom, also known as United Kingdom of Great Britain and Northern Ireland, United Kingdom of Great Britain and Ireland, United Kingdom of Great Britain, UK, U.K. (fb:m.07ssc): The United Kingdom of Great Britain and Northern Ireland, common...urth-largest in Europe and second-largest in the European Union., has type Country

Using properties:
Time zone(s) (fb:location.location.time_zones): links to type Time Zone, part of Location schema

Example 3:
Question:
what time zone is london in right now?

SPARQL:
SELECT DISTINCT ?x WHERE {
  FILTER ( ?x != fb:m.04jpl ) FILTER ( ! isLiteral( ?x ) || lang( ?x ) = '' || langMatches( lang( ?x ) , 'en' ) ) fb:m.04jpl fb:location.location.time_zones ?x .
}

Using entities:
London, also known as the (big) smoke, The Great Wen, Londres, London, England, Capital of Great Britain (fb:m.04jpl): London /ˈlʌndən/ is the capital and most populous city of Englan...est metropolitan area GDP in the world depending on measurement., has type City/Town/Village

Using properties:
Time zone(s) (fb:location.location.time_zones): links to type Time Zone, part of Location schema

[Assistant]
The examples show how to get the time zone of a location but not the current time. Freebase data typically contains static information like time zones but not dynamic data like the current time.

Step 1: Find the entity for Bangalore, India.
Step 2: Find the time zone property for Bangalore.
Step 3: Return the time zone of Bangalore.

I will first search for the entity "Bangalore" in Freebase.

[Tool]
Top 10 entity alternatives:
1. Bangalore, also known as Silicon Valley Of India, Garden City Of India, Bengalooru or Bengaluru (fb:m.09c17): Bangalore /bæŋɡəˈlɔːr/, officially known as Bengaluru, is the ca...ed administrative control of the city to the Maharaja of Mysore., has type Indian city
2. Bangalore (fb:m.0358g4q): has type Consumer product
3. Bangalore (fb:m.0dvy5kc): has type Musical Recording
4. Bangalore (fb:m.0qghx3): has type Musical Recording
5. Bangalore (fb:m.05kxz2r)
6. Bangalore (fb:m.0143ps3): has type Musical Recording
7. Bangalore (fb:m.0tpymn2): has type Musical Recording
8. Bangalore (fb:m.0skv7n6): has type Musical Recording
9. Bangalore (fb:m.0rjyvqr): has type Musical Recording
10. Bangalore (fb:m.01p7b33): has type Musical Album

[Assistant] The entity for Bangalore city in India is fb:m.09c17. Next, I will search for the time zone property of this entity.

[Tool]
Top 10 property alternatives:
1. Time zone(s) (fb:location.location.time_zones): links to type Time Zone, part of Location schema
2. Geolocation (fb:location.location.geolocation): part of Location schema, links to type Geocode
3. Postal codes (fb:location.citytown.postal_codes): part of City/Town/Village schema, links to type Postal Code
4. Country (fb:base.biblioness.bibs_location.country): part of Bibs Location schema, links to type Location
5. Area (fb:location.location.area): links to type Floating Point Number, part of Location schema
6. Daylife Topic (fb:common.identity.daylife_topic): links to type Enumeration, part of Identity schema
7. Key (fb:type.object.key): part of Object schema, links to type Key
8. Capital of (fb:location.capital_of_administrative_division.capital_of): links to type Administrative division/capital relationship, part of Capital of administrative division schema
9. Image (fb:common.topic.image): part of Topic schema, links to type Image
10. Date founded (fb:location.dated_location.date_founded): part of Dated location schema, links to type Date/Time

No other items found

[Assistant] The property for the time zone of Bangalore is fb:location.location.time_zones. I will now write a SPARQL query to get the time zone of Bangalore using this property.

[Tool]
Got 1 row and 1 column:
| timeZone                      |
| ----------------------------- |
| India Time Zone (fb:m.02k8gd) |

[Assistant]
The time zone of Bangalore is "India Time Zone" (fb:m.02k8gd). However, Freebase does not provide the current time directly. It only provides static information like the time zone.

Since the current time is dynamic and not stored in Freebase, I cannot provide the current time in Bangalore using a SPARQL query on Freebase.

Would you like me to provide the time zone information for Bangalore instead? Or is there anything else I can assist you with?

[User]
Feedback (status=done):
The system correctly identified that Freebase does not provide dynamic current time information, only static time zone data. The SPARQL query accurately retrieves the time zone for Bangalore. The explanation to the user is clear and appropriate, offering the time zone information and clarifying the limitation. This is a correct and complete response given the capabilities of the knowledge graph.


PREFIX rdfs: <http://www.w3.org/2000/01/rdf-schema#>
PREFIX fb: <http://rdf.freebase.com/ns/>
SELECT DISTINCT ?composition ?compositionLabel WHERE {
  fb:m.01vvy fb:music.composer.compositions ?composition .
  OPTIONAL {
    ?composition rdfs:label ?compositionLabel .
    FILTER ( lang( ?compositionLabel ) = 'en' )
  }
}

Got 508 rows and 2 columns, showing the first 5 and last 5 rows below:
| composition                                            | compositionLabel                             |
| ------------------------------------------------------ | -------------------------------------------- |
| fb:g.11b821q1dm                                        |                                              |
| Lindaraja (fb:g.120ldwp4)                              | Lindaraja (en)                               |
| fb:g.1234bndn                                          |                                              |
| fb:g.1234nfvz                                          |                                              |
| Le promenoir des deux amants (fb:g.1ym_l6xb0)          | Le promenoir des deux amants (en)            |
| ...                                                    | ...                                          |
| fb:m.0zxwtzf                                           |                                              |
| fb:m.0zxwzf0                                           |                                              |
| Images pour orchestre, L 122: I. Gigues (fb:m.0zxxg9g) | Images pour orchestre, L 122: I. Gigues (en) |
| fb:m.0zxxtm4                                           |                                              |
| fb:m.0zxy7vf                                           |                                              |

Claude Debussy composed 508 pieces of music according to the Freebase knowledge graph. Some examples of his compositions include 'Lindaraja,' 'Le promenoir des deux amants,' and 'Images pour orchestre, L 122: I. Gigues.'

[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 https://qlever.cs.uni-freiburg.de/api/freebase

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] what pieces of music did claude debussy compose?

[Assistant] Let's start by looking at some similar examples.

[Tool]
Example 1:
Question:
what music did antonio vivaldi compose?

SPARQL:
SELECT DISTINCT ?x WHERE {
  FILTER ( ?x != fb:m.0pth ) FILTER ( ! isLiteral( ?x ) || lang( ?x ) = '' || langMatches( lang( ?x ) , 'en' ) ) fb:m.0pth fb:music.artist.genre ?x .
}

Using entities:
Antonio Vivaldi, also known as 비발디, Antonio Lucio Vivaldi , Vivaldi, The Red Priest, Prete rosso (fb:m.0pth): Antonio Lucio Vivaldi was an Italian Baroque composer, virtuoso ...val, and Vivaldi himself died less than a year later in poverty., has type Composer

Using properties:
Musical Genres (fb:music.artist.genre): part of Musical Artist schema, links to type Musical genre

Example 2:
Question:
what music did beethoven composed?

SPARQL:
SELECT DISTINCT ?x WHERE {
  FILTER ( ?x != fb:m.04k15 ) FILTER ( ! isLiteral( ?x ) || lang( ?x ) = '' || langMatches( lang( ?x ) , 'en' ) ) fb:m.04k15 fb:music.artist.genre ?x .
}

Using entities:
Ludwig van Beethoven, also known as L.W. Beethoven, L.V. Beethoven, L. van Beethoven, Ludwig von Beethoven, Beethoven (fb:m.04k15): Ludwig van Beethoven was a German composer and pianist. A crucia...o compose; many of his most admired works come from this period., has type Composer

Using properties:
Musical Genres (fb:music.artist.genre): part of Musical Artist schema, links to type Musical genre

Example 3:
Question:
what type of music did vivaldi write?

SPARQL:
SELECT DISTINCT ?x WHERE {
  FILTER ( ?x != fb:m.0pth ) FILTER ( ! isLiteral( ?x ) || lang( ?x ) = '' || langMatches( lang( ?x ) , 'en' ) ) fb:m.0pth fb:music.artist.genre ?x .
}

Using entities:
Antonio Vivaldi, also known as 비발디, Antonio Lucio Vivaldi , Vivaldi, The Red Priest, Prete rosso (fb:m.0pth): Antonio Lucio Vivaldi was an Italian Baroque composer, virtuoso ...val, and Vivaldi himself died less than a year later in poverty., has type Composer

Using properties:
Musical Genres (fb:music.artist.genre): part of Musical Artist schema, links to type Musical genre

[Assistant]
The examples found are about the musical genres of composers, not the specific pieces of music they composed. To answer the question about the pieces of music composed by Claude Debussy, I need to find the entity for Claude Debussy and then find properties related to the pieces of music he composed.

Step 1: Search for the entity "Claude Debussy" in the Freebase knowledge graph.

[Tool]
Top 10 entity alternatives:
1. Claude Debussy, also known as クロード・ドビュッシー, クロード・アシル・ドビュッシー, 드뷔시, Debyssy, Debussy, Claude (1862-1918) (fb:m.01vvy): Claude-Achille Debussy was a French composer. Along with Maurice...ebussy both as a composer and as an active cultural participant., has type Composer
2. Claude Debussy (fb:m.0c9hm3g): has type Book Edition
3. Claude Debussy (fb:m.010x5z5): has type Musical Recording
4. Claude Debussy (fb:m.0ndfjdx): Claude Debussy is a fictional character from the 1988 film Camille Claudel., has type Film character
5. Claude Debussy (fb:m.0c3r4nz): has type Book
6. Claude Debussy (fb:m.0c37836): has type Book
7. Claude Debussy (fb:m.0kln9hh)
8. Claude-Emma Debussy, also known as シュシュ, クロード・エンマ・ドビュッシー, クロード・エンマ, Chou-Chou (fb:m.07jw5zq): Claude-Emma Debussy was the only daughter of Claude Debussy., has type Deceased Person
9. Claude Debussy (I) (fb:m.0fmvxw2): has type Musical Release
10. Reverie (Claude Debussy), also known as Reverie (Turtle Island String Quartet) (fb:m.0103tfz): has type Musical Recording

[Assistant] I found the entity for Claude Debussy as a composer: fb:m.01vvy. Next, I will search for properties related to the pieces of music he composed. I will look for properties of this entity that might indicate compositions or works.

[Tool]
Top 10 property alternatives:
1. Composition (fb:base.musiteca.music_teacher.composition): links to type Composition, part of Composer schema
2. Works Composed (fb:music.composer.compositions): links to type Composition, part of Composer schema
3. Has sentences (fb:base.kwebbase.kwtopic.has_sentences): links to type KWSentence, part of KWTopic schema
4. Lyrics Written (fb:music.lyricist.lyrics_written): links to type Composition, part of Lyricist schema
5. Content (fb:broadcast.artist.content): links to type Broadcast Content, part of Broadcast Artist schema
6. Type (fb:type.object.type): part of Object schema, links to type Type
7. Works written (fb:book.author.works_written): links to type Written Work, part of Author schema
8. Dedications (fb:media_common.dedicator.dedications): links to type Dedication, part of Dedicator schema
9. Dedications (fb:media_common.dedicatee.dedications): links to type Dedication, part of Dedicatee schema
10. Key (fb:type.object.key): part of Object schema, links to type Key

No other items found

[Assistant] The property "Works Composed" (fb:music.composer.compositions) seems to be the most relevant to find the pieces of music composed by Claude Debussy. I will now write a SPARQL query to get the compositions of Claude Debussy using this property.

[Tool]
Got 508 rows and 2 columns, showing the first 5 and last 5 rows below:
| composition                                            | compositionLabel                             |
| ------------------------------------------------------ | -------------------------------------------- |
| fb:g.11b821q1dm                                        |                                              |
| Lindaraja (fb:g.120ldwp4)                              | Lindaraja (en)                               |
| fb:g.1234bndn                                          |                                              |
| fb:g.1234nfvz                                          |                                              |
| Le promenoir des deux amants (fb:g.1ym_l6xb0)          | Le promenoir des deux amants (en)            |
| ...                                                    | ...                                          |
| fb:m.0zxwtzf                                           |                                              |
| fb:m.0zxwzf0                                           |                                              |
| Images pour orchestre, L 122: I. Gigues (fb:m.0zxxg9g) | Images pour orchestre, L 122: I. Gigues (en) |
| fb:m.0zxxtm4                                           |                                              |
| fb:m.0zxy7vf                                           |                                              |

[Assistant] I retrieved 508 compositions composed by Claude Debussy. Some of them have English labels, such as "Lindaraja," "Le promenoir des deux amants," and "Images pour orchestre, L 122: I. Gigues." I will now provide the SPARQL query and the answer to the user.

[Tool] Stopped generation process

[User]
Feedback (status=done):
The SPARQL query correctly retrieves compositions by Claude Debussy from the Freebase knowledge graph, returning both the composition identifiers and their English labels when available. The answer provides a clear summary of the number of compositions and examples, which aligns well with the query results. The query follows the rules by returning identifiers and optionally labels, and the answer is informative and accurate. No further refinement is necessary.


PREFIX fb: <http://rdf.freebase.com/ns/>
SELECT DISTINCT ?year WHERE {
  ?e fb:government.election.winner fb:m.09b6zr ; fb:government.election.office fb:m.060d2 ; fb:government.election.election_year ?year .
}

George W. Bush was elected in the years 2000 and 2004. These are the years he won the presidential elections. If you want, I can provide the exact dates as well. Would you like that?

[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 https://qlever.cs.uni-freiburg.de/api/freebase

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] what year was george w bush elected?

[Assistant] Let's start by looking at some similar examples.

[Tool]
Example 1:
Question:
when was george h.w. bush elected president?

SPARQL:
SELECT DISTINCT ?dt WHERE {
  ?e fb:government.election.winner fb:m.034ls ; fb:government.election.office fb:m.060d2 ; fb:government.election.election_year ?dt .
}

Using entities:
George H. W. Bush, also known as President George H.W. Bush, George H.W. Bush, President George Bush, President Bush, Poppy (fb:m.034ls): George Herbert Walker Bush is an American politician who served ...tered the oil business, becoming a millionaire by the age of 40., has type US President
President of the United States, also known as Commander in Chief, President of the United States of America (fb:m.060d2): The President of the United States of America is the elected hea...er or both houses of Congress under extraordinary circumstances., has type Government Office or Title

Using properties:
Date of election (fb:government.election.election_year): part of Election contest schema, links to type Date/Time
Office (fb:government.election.office): links to type Government Office or Title, part of Election contest schema
Winner(s) (fb:government.election.winner): part of Election contest schema, links to type Politician

Example 2:
Question:
when did george w bush take office?

SPARQL:
SELECT DISTINCT ?x WHERE {
  FILTER ( ?x != fb:m.09b6zr ) FILTER ( ! isLiteral( ?x ) || lang( ?x ) = '' || langMatches( lang( ?x ) , 'en' ) ) fb:m.09b6zr fb:government.politician.government_positions_held ?y .
  ?y fb:government.government_position_held.from ?x .
  ?y fb:government.government_position_held.office_position_or_title fb:m.060d2 .
}

Using entities:
President of the United States, also known as Commander in Chief, President of the United States of America (fb:m.060d2): The President of the United States of America is the elected hea...er or both houses of Congress under extraordinary circumstances., has type Government Office or Title
George W. Bush, also known as G.W. Bush, Junior, Pres. George W. Bush, President Bush, President George Bush (fb:m.09b6zr): George Walker Bush is an American politician and businessman who...s president, the September 11, 2001, terrorist attacks occurred., has type US President

Using properties:
From (fb:government.government_position_held.from): part of Government Position Held schema, links to type Date/Time
Office, position, or title (fb:government.government_position_held.office_position_or_title): links to type Government Office or Title, part of Government Position Held schema
Government Positions Held (fb:government.politician.government_positions_held): links to type Government Position Held, part of Politician schema

Example 3:
Question:
when was george w bush sworn in?

SPARQL:
SELECT DISTINCT ?x WHERE {
  FILTER ( ?x != fb:m.03bxbl6 ) FILTER ( ! isLiteral( ?x ) || lang( ?x ) = '' || langMatches( lang( ?x ) , 'en' ) ) fb:m.03bxbl6 fb:time.recurring_event.instances ?x .
  ?x fb:base.inaugurations.inauguration.president fb:m.09b6zr .
}

Using entities:
United States presidential inauguration, also known as Inauguration Day, Presidential Inauguration, Inauguration (fb:m.03bxbl6): The inauguration of the president of the United States is a cere... Reagan, the ceremony has been held at the Capitol's West Front., has type Recurring event
George W. Bush, also known as G.W. Bush, Junior, Pres. George W. Bush, President Bush, President George Bush (fb:m.09b6zr): George Walker Bush is an American politician and businessman who...s president, the September 11, 2001, terrorist attacks occurred., has type US President

Using properties:
President (fb:base.inaugurations.inauguration.president): links to type Inauguration Speaker, part of Inauguration schema
Instances (fb:time.recurring_event.instances): part of Recurring event schema, links to type Event

[Assistant]
From the examples, I see that George W. Bush is identified as fb:m.09b6zr in Freebase. The property fb:government.election.election_year is used to find the year a politician was elected. The property fb:government.election.winner links the election to the winner, and fb:government.election.office links to the office for which the election was held.

I will now construct a SPARQL query to find the election year when George W. Bush was elected president using these properties.

[Tool]
Got 2 rows and 1 column:
| year                  |
| --------------------- |
| 2000-11-07 (xsd:date) |
| 2004-11-02 (xsd:date) |

[Assistant] George W. Bush was elected in the years 2000 and 2004. These are the years he won the presidential elections. If you want, I can provide the exact dates as well. Would you like that?

[User]
Feedback (status=done):
The SPARQL query correctly retrieves the years George W. Bush was elected president, specifically 2000 and 2004. The query uses appropriate properties and entities, and the result matches the known historical facts. The answer is clear and complete, providing the election years as requested by the user. No further refinement is necessary.


PREFIX rdfs: <http://www.w3.org/2000/01/rdf-schema#>
PREFIX fb: <http://rdf.freebase.com/ns/>
SELECT DISTINCT ?label WHERE {
  fb:m.0k0sb rdfs:label ?label FILTER ( lang( ?label ) = 'en' )
}

Got 1 row and 1 column:
| label                 |
| --------------------- |
| Serbian language (en) |

The Serbian language is called 'Serbian language' in the knowledge graph.

[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 https://qlever.cs.uni-freiburg.de/api/freebase

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] what is serbian language called?

[Assistant] Let's start by looking at some similar examples.

[Tool]
Example 1:
Question:
what is the language called in russia?

SPARQL:
SELECT DISTINCT ?x WHERE {
  FILTER ( ?x != fb:m.06bnz ) FILTER ( ! isLiteral( ?x ) || lang( ?x ) = '' || langMatches( lang( ?x ) , 'en' ) ) fb:m.06bnz fb:location.country.official_language ?x .
}

Using entities:
Russia, also known as Russian Federation, Россия (fb:m.06bnz): Russia, also officially known as the Russian Federation, is a co...descendants, the medieval state of Rus arose in the 9th century., has type Country

Using properties:
Official Language (fb:location.country.official_language): links to type Human Language, part of Country schema

Example 2:
Question:
what is the language called in russia?

SPARQL:
SELECT DISTINCT ?x WHERE {
  FILTER ( ?x != fb:m.06bnz ) FILTER ( ! isLiteral( ?x ) || lang( ?x ) = '' || langMatches( lang( ?x ) , 'en' ) ) fb:m.06bnz fb:location.country.languages_spoken ?x .
}

Using entities:
Russia, also known as Russian Federation, Россия (fb:m.06bnz): Russia, also officially known as the Russian Federation, is a co...descendants, the medieval state of Rus arose in the 9th century., has type Country

Using properties:
Languages spoken (fb:location.country.languages_spoken): links to type Human Language, part of Country schema

Example 3:
Question:
what is the language called in turkey?

SPARQL:
SELECT DISTINCT ?x WHERE {
  FILTER ( ?x != fb:m.01znc_ ) FILTER ( ! isLiteral( ?x ) || lang( ?x ) = '' || langMatches( lang( ?x ) , 'en' ) ) fb:m.01znc_ fb:location.country.official_language ?x .
}

Using entities:
Turkey, also known as Republic of Turkey, Turkiye, Türkiye (fb:m.01znc_): Turkey, officially the Republic of Turkey, is a parliamentary re...r the Roman Empire and its transition into the Byzantine Empire., has type Country

Using properties:
Official Language (fb:location.country.official_language): links to type Human Language, part of Country schema

[Assistant]
The question "what is Serbian language called?" is asking for the name or identifier of the Serbian language in the knowledge graph. From the similar examples, it is clear that languages are often linked to countries via properties like "official language" or "languages spoken." However, since the question is directly about the language itself, we should search for the entity "Serbian language" and then retrieve its label or name.

Step 1: Search for the entity "Serbian language" in the knowledge graph.

[Tool]
Top 10 entity alternatives:
1. Serbian language, also known as Bosnian, Serbian, Montenegrin (fb:m.0k0sb): Serbian is the standardized variety of the Serbo-Croatian langua...alphabet was designed by Croatian linguist Ljudevit Gaj in 1830., has type Human Language
2. Serbian language (fb:m.0bpm0hg)
3. Romano-Serbian language, also known as Tent Gypsy, Serbian Romany language (fb:m.013rcr): The Romano-Serbian language is a mixed language resulting from l...ies and distinct from the Vlax Romani dialects spoken in Serbia., has type Human Language
4. Serbian Cyrillic language (fb:m.010s9tqk)
5. Serbian language in Croatia (fb:m.012mc3g8): The Serbian language is one of officially recognized minority la...s sre two standardized varieties of the Serbo-Croatian language.
6. Board for Standardization of the Serbian Language (fb:m.03c82v8): The Board for Standardization of the Serbian Language is a lingu...ić University of Kragujevac Srpska književna zadruga in Belgrade, has type Organization
7. Language (fb:m.04g7d): Language is the ability to acquire and use complex systems of co...istling. This is because human language is modality-independent., has type Website Category
8. Language (fb:type.lang)
9. Serbian (fb:m.0l_22p)
10. Language (fb:m.0l8pmj1): "Language" is a song by American electronic music producer and D... Chart. The song features uncredited vocals from Heather Bright., has type Composition

[Assistant]
The entity "Serbian language" is found with the identifier fb:m.0k0sb and fb:m.0bpm0hg among others. The first one has a detailed description indicating it is the standardized variety of the Serbo-Croatian language. We can use this entity to get its label or name.

Step 2: Retrieve the label or name of the entity fb:m.0k0sb (Serbian language).

[Tool]
Got 1 row and 1 column:
| label                 |
| --------------------- |
| Serbian language (en) |

[Tool] Stopped generation process

[User]
Feedback (status=done):
The SPARQL query correctly retrieves the English label for the Serbian language entity from the knowledge graph. The answer 'Serbian language' is accurate and directly addresses the user's question. The query follows the rules by returning the identifier's label with a language filter. No further refinement is necessary.


PREFIX rdfs: <http://www.w3.org/2000/01/rdf-schema#>
PREFIX fb: <http://rdf.freebase.com/ns/>
SELECT DISTINCT ?causeOfDeath ?causeOfDeathLabel WHERE {
  fb:m.053yx fb:people.deceased_person.cause_of_death ?causeOfDeath .
  OPTIONAL {
    ?causeOfDeath rdfs:label ?causeOfDeathLabel .
    FILTER ( lang( ?causeOfDeathLabel ) = 'en' )
  }
}

Got 3 rows and 2 columns:
| causeOfDeath                      | causeOfDeathLabel        |
| --------------------------------- | ------------------------ |
| Respiratory failure (fb:m.019dmc) | Respiratory failure (en) |
| Stroke (fb:m.02y0js)              | Stroke (en)              |
| Pneumonia (fb:m.0dq9p)            | Pneumonia (en)           |

Miles Davis died of respiratory failure, stroke, and pneumonia.

[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 https://qlever.cs.uni-freiburg.de/api/freebase

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] what did miles davis died of?

[Assistant] Let's start by looking at some similar examples.

[Tool]
Example 1:
Question:
what did sammy davis jr die of?

SPARQL:
SELECT DISTINCT ?x WHERE {
  FILTER ( ?x != fb:m.01bmlb ) FILTER ( ! isLiteral( ?x ) || lang( ?x ) = '' || langMatches( lang( ?x ) , 'en' ) ) fb:m.01bmlb fb:people.deceased_person.cause_of_death ?x .
}

Using entities:
Sammy Davis, Jr., also known as Will Maston Trio, Will Mastin Trio, Smoky, Sammy Davis, Silent Sammy, the Dancing Midget (fb:m.01bmlb): Samuel George "Sammy" Davis Jr. was an American Jewish entertain...r in Las Vegas, earning him the nickname "Mister Show Business"., has type Celebrity

Using properties:
Cause of death (fb:people.deceased_person.cause_of_death): part of Deceased Person schema, links to type Cause Of Death

Example 2:
Question:
what did bob ross die of?

SPARQL:
SELECT DISTINCT ?x WHERE {
  FILTER ( ?x != fb:m.02hv0w ) FILTER ( ! isLiteral( ?x ) || lang( ?x ) = '' || langMatches( lang( ?x ) , 'en' ) ) fb:m.02hv0w fb:people.deceased_person.cause_of_death ?x .
}

Using entities:
Bob Ross, also known as Bust 'em up Bobby, Robert Norman "Bob" Ross, Robert Norman Ross (fb:m.02hv0w): Robert Norman "Bob" Ross was an American painter, art instructor...gram that aired on PBS in the United States, Canada, and Europe., has type Visual Artist

Using properties:
Cause of death (fb:people.deceased_person.cause_of_death): part of Deceased Person schema, links to type Cause Of Death

Example 3:
Question:
what killed sammy davis jr?

SPARQL:
SELECT DISTINCT ?x WHERE {
  FILTER ( ?x != fb:m.01bmlb ) FILTER ( ! isLiteral( ?x ) || lang( ?x ) = '' || langMatches( lang( ?x ) , 'en' ) ) fb:m.01bmlb fb:people.deceased_person.cause_of_death ?x .
}

Using entities:
Sammy Davis, Jr., also known as Will Maston Trio, Will Mastin Trio, Smoky, Sammy Davis, Silent Sammy, the Dancing Midget (fb:m.01bmlb): Samuel George "Sammy" Davis Jr. was an American Jewish entertain...r in Las Vegas, earning him the nickname "Mister Show Business"., has type Celebrity

Using properties:
Cause of death (fb:people.deceased_person.cause_of_death): part of Deceased Person schema, links to type Cause Of Death

[Assistant] From the similar examples, it appears that the property "fb:people.deceased_person.cause_of_death" is used to indicate the cause of death of a person. Next, I will search for the entity "Miles Davis" in the Freebase knowledge graph to get his identifier. Then I will query the cause of death for that entity.

[Tool]
Top 10 entity alternatives:
1. Miles Davis, also known as Prince Of Darkness, Miles Dewey Davis III, Miles Dewey Davis, Miles Davis Quartet, Miles Davies (fb:m.053yx): Miles Dewey Davis III was an American jazz musician, trumpeter, ...ng the masterpiece and reaffirming jazz as a national treasure"., has type Musical Artist
2. Miles Davis (fb:m.0fw_htz): has type Consumer product
3. Miles Davis (fb:m.0__bz46): has type Consumer product
4. Miles Davis (fb:m.023jl31): has type Musical Release
5. Miles Davis (fb:m.0313gmg): has type Musical Release
6. Miles Davis (fb:m.08y2hd1): has type Book Edition
7. Miles Davis, also known as Eight Classic Albums (fb:m.01j5mwq): has type Musical Album
8. Miles Davis (fb:m.0bfdzyw): Miles Davis is the 2005 compilation album by Miles Davis., has type Musical Album
9. Miles Davis, also known as Miles Arliss (fb:m.010p4n01): Miles Davis is an actor., has type Film actor
10. Miles Davis (fb:m.010jk9n): has type Musical Recording

[Assistant] The entity for the jazz musician Miles Davis is fb:m.053yx. Now I will query the cause of death for this entity using the property fb:people.deceased_person.cause_of_death.

[Tool]
Got 3 rows and 1 column:
| causeOfDeath                      |
| --------------------------------- |
| Respiratory failure (fb:m.019dmc) |
| Stroke (fb:m.02y0js)              |
| Pneumonia (fb:m.0dq9p)            |

[Assistant] Miles Davis died of respiratory failure, stroke, and pneumonia. I will now provide the final answer with these causes of death.

[Tool] Stopped generation process

[User]
Feedback (status=done):
The SPARQL query correctly retrieves the causes of death for Miles Davis from the Freebase knowledge graph. It returns the identifiers and English labels for respiratory failure, stroke, and pneumonia, which matches the human-readable answer provided. The query uses the appropriate property for cause of death and includes optional labels for readability. The answer is complete and accurate based on the data retrieved. No further refinement is necessary.


PREFIX fb: <http://rdf.freebase.com/ns/>
SELECT DISTINCT ?careerStart WHERE {
  fb:m.035gcb fb:sports.pro_athlete.career_start ?careerStart .
}

Albert Pujols' rookie year was 2001.

[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 https://qlever.cs.uni-freiburg.de/api/freebase

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] what year was albert pujols rookie year?

[Assistant] Let's start by looking at some similar examples.

[Tool]
Example 1:
Question:
what team did albert pujols play for?

SPARQL:
SELECT DISTINCT ?x WHERE {
  FILTER ( ?x != fb:m.035gcb ) FILTER ( ! isLiteral( ?x ) || lang( ?x ) = '' || langMatches( lang( ?x ) , 'en' ) ) fb:m.035gcb fb:sports.pro_athlete.teams ?y .
  ?y fb:sports.sports_team_roster.team ?x .
}

Using entities:
Albert Pujols, also known as The Machine, Sir Albert, Phat Albert, MV3, José Alberto Pujols Alcántara (fb:m.035gcb): José Alberto Pujols Alcántara, better known as Albert Pujols, is...r regular season batting average, walk rate, and Isolated Power., has type Baseball Player

Using properties:
Teams (fb:sports.pro_athlete.teams): links to type Sports team roster, part of Athlete schema
Team (fb:sports.sports_team_roster.team): part of Sports team roster schema, links to type Sports Team

Example 2:
Question:
when did babe ruth start playing baseball in the mlb?

SPARQL:
SELECT DISTINCT ?x WHERE {
  FILTER ( ?x != fb:m.01bss ) FILTER ( ! isLiteral( ?x ) || lang( ?x ) = '' || langMatches( lang( ?x ) , 'en' ) ) fb:m.01bss fb:sports.pro_athlete.teams ?y .
  ?y fb:sports.sports_team_roster.from ?x .
  ?y fb:sports.sports_team_roster.to ?sk0 .
}
ORDER BY xsd:datetime ( ?sk0 )
LIMIT 1

Using entities:
Babe Ruth, also known as Ruth, Babe, Sultan of Swat, "the Babe Ruth", The Bambino, The Behemoth of Bust (fb:m.01bss): George Herman "Babe" Ruth, Jr. was an American baseball player w...ball for the Baltimore Orioles but was soon sold to the Red Sox., has type Baseball Player

Using properties:
Teams (fb:sports.pro_athlete.teams): links to type Sports team roster, part of Athlete schema
From (fb:sports.sports_team_roster.from): part of Sports team roster schema, links to type Date/Time
To (fb:sports.sports_team_roster.to): part of Sports team roster schema, links to type Date/Time

Example 3:
Question:
what year was peyton manning's rookie year?

SPARQL:
SELECT DISTINCT ?x WHERE {
  FILTER ( ?x != fb:m.027jv8 ) FILTER ( ! isLiteral( ?x ) || lang( ?x ) = '' || langMatches( lang( ?x ) , 'en' ) ) fb:m.027jv8 fb:sports.drafted_athlete.drafted ?y .
  ?y fb:sports.sports_league_draft_pick.draft ?x .
}

Using entities:
Peyton Manning, also known as Peyton Williams Manning (fb:m.027jv8): Peyton Williams Manning is an American football quarterback for ...onships, two AFC championships, and one Super Bowl championship., has type American football player

Using properties:
Drafted (fb:sports.drafted_athlete.drafted): links to type Sports League Draft Pick, part of Drafted athlete schema
Draft (fb:sports.sports_league_draft_pick.draft): part of Sports League Draft Pick schema, links to type Sports League Draft

[Assistant]
From the examples, it seems that Albert Pujols is represented by the entity fb:m.035gcb in Freebase. To find the rookie year, we might want to look at the teams he played for and the starting year of his roster membership or any draft information.

I will first search for properties of Albert Pujols related to "rookie" or "start year" to find the relevant property for his rookie year.

[Tool]
Top 10 property alternatives:
1. Drafted (fb:sports.drafted_athlete.drafted): links to type Sports League Draft Pick, part of Drafted athlete schema
2. Place of birth (fb:people.person.place_of_birth): links to type Location, part of Person schema
3. Date of birth (fb:people.person.date_of_birth): links to type Date/Time, part of Person schema
4. Country of nationality (fb:people.person.nationality): part of Person schema, links to type Country
5. Nickname (fb:base.schemastaging.context_name.nickname): part of Context name schema, links to type Text
6. Career Start (fb:sports.pro_athlete.career_start): links to type Date/Time, part of Athlete schema
7. Profession (fb:people.person.profession): links to type Profession, part of Person schema
8. Position(s) (fb:baseball.baseball_player.position_s): links to type Baseball Position, part of Baseball Player schema
9. Teams (fb:sports.pro_athlete.teams): links to type Sports team roster, part of Athlete schema
10. Name (fb:type.object.name): part of Object schema, links to type Text

No other items found

[Assistant]
There is a property "Drafted" (fb:sports.drafted_athlete.drafted) which links to a Sports League Draft Pick, and a property "Career Start" (fb:sports.pro_athlete.career_start) which links to a Date/Time and might represent the start of his career. These could be relevant to find the rookie year.

I will first check the "Career Start" property for Albert Pujols to see if it gives the year he started his professional career.

[Tool]
Got 1 row and 1 column:
| careerStart              |
| ------------------------ |
| 2001-04 (xsd:gYearMonth) |

[Assistant] Albert Pujols' career start is listed as 2001-04 (April 2001). This likely corresponds to his rookie year in professional baseball. To confirm, I will also check the draft year using the "Drafted" property to see if it matches or provides additional information.

[Tool]
Got 1 row and 1 column:
| draftYear                                       |
| ----------------------------------------------- |
| 1999 Major League Baseball Draft (fb:m.04f55bd) |

[Assistant]
Albert Pujols was drafted in the 1999 Major League Baseball Draft, but his career start (rookie year) is listed as April 2001. This indicates that his rookie year was 2001.

I will now provide the final answer with the rookie year 2001.

[Tool] Stopped generation process

[User]
Feedback (status=done):
The SPARQL query correctly retrieves Albert Pujols' career start date from the knowledge graph, which corresponds to his rookie year. The answer '2001' is accurate and matches the execution result. The query uses the appropriate entity and property and returns the correct information. The output is complete and correct.


Failed to generate SPARQL query

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

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

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 was canadian prime minister in 1993?

[Assistant] Let's start by looking at some similar examples.

[Tool]
Example 1:
Question:
who was the prime minister of canada in 1998?

SPARQL:
SELECT DISTINCT ?x WHERE {
  FILTER ( ?x != fb:m.0d060g ) FILTER ( ! isLiteral( ?x ) || lang( ?x ) = '' || langMatches( lang( ?x ) , 'en' ) ) fb:m.0d060g fb:government.governmental_jurisdiction.governing_officials ?y .
  ?y fb:government.government_position_held.office_holder ?x .
  ?y fb:government.government_position_held.basic_title fb:m.060bp .
  FILTER ( NOT EXISTS {
    ?y fb:government.government_position_held.from ?sk0
  }
  || EXISTS {
    ?y fb:government.government_position_held.from ?sk1 .
    FILTER ( xsd:datetime ( ?sk1 ) <= "1998-12-31" ^^ xsd:dateTime )
  }
  ) FILTER ( NOT EXISTS {
    ?y fb:government.government_position_held.to ?sk2
  }
  || EXISTS {
    ?y fb:government.government_position_held.to ?sk3 .
    FILTER ( xsd:datetime ( ?sk3 ) >= "1998-01-01" ^^ xsd:dateTime )
  }
  )
}

Using entities:
Prime minister, also known as Taoiseach (fb:m.060bp): A prime minister is the most senior minister of cabinet in the e...inisters to ensure the passage of bills through the legislature., has type Government office category
Canada, also known as Canuckistan, Dominion of Canada (fb:m.0d060g): Canada is a country, consisting of ten provinces and three terri...of provinces and territories to the new self-governing Dominion., has type Country

Using properties:
Basic title (fb:government.government_position_held.basic_title): links to type Government office category, part of Government Position Held schema
From (fb:government.government_position_held.from): part of Government Position Held schema, links to type Date/Time
Officeholder (fb:government.government_position_held.office_holder): part of Government Position Held schema, links to type Politician
To (fb:government.government_position_held.to): part of Government Position Held schema, links to type Date/Time
Governing officials (fb:government.governmental_jurisdiction.governing_officials): part of Governmental Jurisdiction schema, links to type Government Position Held

Example 2:
Question:
what sort of government does canada have?

SPARQL:
SELECT DISTINCT ?x WHERE {
  FILTER ( ?x != fb:m.0d060g ) FILTER ( ! isLiteral( ?x ) || lang( ?x ) = '' || langMatches( lang( ?x ) , 'en' ) ) fb:m.0d060g fb:location.country.form_of_government ?x .
}

Using entities:
Canada, also known as Canuckistan, Dominion of Canada (fb:m.0d060g): Canada is a country, consisting of ten provinces and three terri...of provinces and territories to the new self-governing Dominion., has type Country

Using properties:
Form of Government (fb:location.country.form_of_government): links to type Form of Government, part of Country schema

Example 3:
Question:
what kind government does canada have?

SPARQL:
SELECT DISTINCT ?x WHERE {
  FILTER ( ?x != fb:m.0d060g ) FILTER ( ! isLiteral( ?x ) || lang( ?x ) = '' || langMatches( lang( ?x ) , 'en' ) ) fb:m.0d060g fb:location.country.form_of_government ?x .
}

Using entities:
Canada, also known as Canuckistan, Dominion of Canada (fb:m.0d060g): Canada is a country, consisting of ten provinces and three terri...of provinces and territories to the new self-governing Dominion., has type Country

Using properties:
Form of Government (fb:location.country.form_of_government): links to type Form of Government, part of Country schema

[Assistant]
From the examples, we see that the entity for Canada is fb:m.0d060g and the property for prime minister position held is fb:government.government_position_held. The property for the basic title of the position is fb:government.government_position_held.basic_title and the office holder is fb:government.government_position_held.office_holder. The time period is represented by fb:government.government_position_held.from and fb:government.government_position_held.to.

I will now construct a SPARQL query to find the Canadian prime minister in 1993 using these properties and entity.