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The dataset generation failed
Error code: DatasetGenerationError
Exception: TypeError
Message: Couldn't cast array of type
struct<node_list: list<item: string>, edge_list: list<item: list<item: string>>, target_node: int64>
to
{'node_list': Sequence(feature=Value(dtype='string', id=None), length=-1, id=None), 'edge_list': Sequence(feature=Sequence(feature=Value(dtype='string', id=None), length=-1, id=None), length=-1, id=None)}
Traceback: Traceback (most recent call last):
File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/builder.py", line 2011, in _prepare_split_single
writer.write_table(table)
File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/arrow_writer.py", line 585, in write_table
pa_table = table_cast(pa_table, self._schema)
File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/table.py", line 2302, in table_cast
return cast_table_to_schema(table, schema)
File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/table.py", line 2261, in cast_table_to_schema
arrays = [cast_array_to_feature(table[name], feature) for name, feature in features.items()]
File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/table.py", line 2261, in <listcomp>
arrays = [cast_array_to_feature(table[name], feature) for name, feature in features.items()]
File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/table.py", line 1802, in wrapper
return pa.chunked_array([func(chunk, *args, **kwargs) for chunk in array.chunks])
File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/table.py", line 1802, in <listcomp>
return pa.chunked_array([func(chunk, *args, **kwargs) for chunk in array.chunks])
File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/table.py", line 2122, in cast_array_to_feature
raise TypeError(f"Couldn't cast array of type\n{_short_str(array.type)}\nto\n{_short_str(feature)}")
TypeError: Couldn't cast array of type
struct<node_list: list<item: string>, edge_list: list<item: list<item: string>>, target_node: int64>
to
{'node_list': Sequence(feature=Value(dtype='string', id=None), length=-1, id=None), 'edge_list': Sequence(feature=Sequence(feature=Value(dtype='string', id=None), length=-1, id=None), length=-1, id=None)}
The above exception was the direct cause of the following exception:
Traceback (most recent call last):
File "/src/services/worker/src/worker/job_runners/config/parquet_and_info.py", line 1524, in compute_config_parquet_and_info_response
parquet_operations, partial, estimated_dataset_info = stream_convert_to_parquet(
File "/src/services/worker/src/worker/job_runners/config/parquet_and_info.py", line 1099, in stream_convert_to_parquet
builder._prepare_split(
File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/builder.py", line 1882, in _prepare_split
for job_id, done, content in self._prepare_split_single(
File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/builder.py", line 2038, in _prepare_split_single
raise DatasetGenerationError("An error occurred while generating the dataset") from e
datasets.exceptions.DatasetGenerationError: An error occurred while generating the datasetNeed help to make the dataset viewer work? Make sure to review how to configure the dataset viewer, and open a discussion for direct support.
task_name
string | idx
int64 | instruction
string | graph_language
string | graph
dict | answer
sequence | answer_with_cot
sequence | difficulty
string | from
string |
|---|---|---|---|---|---|---|---|---|
graph-language-modeling-graph-question-answering-webquestions | 0 | You are a good graph reasoner. Give you a graph language that describes a graph structure and node information. You need to understand the graph and the task definition, and answer the question.
Note: (i <-> j) means that node i and node j are connected with an undirected edge. (i -> j) means that node i and node j are connected with a directed edge.
```
Graph[name="freebase-knowledge-base"] {
entity_list = ['Grinch', 'Tracker #1', 'Johannes', 'Jake Martin', 'Ralgha nar Hhallas', 'Male', 'Alvin Bahe', 'Boss Keung', 'Pepe', 'Sloan', 'Captain Jacob Keyes', 'Michael Van Patrick', 'Growing Man', 'Sōhaku Kago', 'John Wydell', 'Yardley', 'Baxter', 'Sree Narayana Guru', 'Foppish Man', 'Stephen Nakane', 'Marcus Junius Brutus', 'Ferdinand Lyle', 'Jamie Martin', 'Justin Morningway', 'John', 'Simias', 'Bhaal'];
triple_list = [("Male" -> "Sloan")[relation="characters of this gender"], ("Male" -> "Boss Keung")[relation="characters of this gender"], ("Male" -> "Sree Narayana Guru")[relation="characters of this gender"], ("Male" -> "Captain Jacob Keyes")[relation="characters of this gender"], ("Male" -> "Grinch")[relation="characters of this gender"], ("Male" -> "Jamie Martin")[relation="characters of this gender"], ("Male" -> "Alvin Bahe")[relation="characters of this gender"], ("Male" -> "Foppish Man")[relation="characters of this gender"], ("Male" -> "Jake Martin")[relation="characters of this gender"], ("Male" -> "Pepe")[relation="characters of this gender"], ("Male" -> "Johannes")[relation="characters of this gender"], ("Male" -> "Justin Morningway")[relation="characters of this gender"], ("Male" -> "Ferdinand Lyle")[relation="characters of this gender"], ("Male" -> "Marcus Junius Brutus")[relation="characters of this gender"], ("Male" -> "John Wydell")[relation="characters of this gender"], ("Male" -> "Bhaal")[relation="characters of this gender"], ("Male" -> "Michael Van Patrick")[relation="characters of this gender"], ("Male" -> "Simias")[relation="characters of this gender"], ("Male" -> "Stephen Nakane")[relation="characters of this gender"], ("Male" -> "Baxter")[relation="characters of this gender"], ("Male" -> "Yardley")[relation="characters of this gender"], ("Male" -> "Growing Man")[relation="characters of this gender"], ("Male" -> "John")[relation="characters of this gender"], ("Male" -> "Ralgha nar Hhallas")[relation="characters of this gender"], ("Male" -> "Sōhaku Kago")[relation="characters of this gender"], ("Male" -> "Tracker #1")[relation="characters of this gender"]];
}
```
Task definition: given a question and a corresponding knowledge graph, and find an entity in the graph and answer the question.
Q: what is the name of justin bieber brother ?
A: | ```
Graph[name="freebase-knowledge-base"] {
entity_list = ['Grinch', 'Tracker #1', 'Johannes', 'Jake Martin', 'Ralgha nar Hhallas', 'Male', 'Alvin Bahe', 'Boss Keung', 'Pepe', 'Sloan', 'Captain Jacob Keyes', 'Michael Van Patrick', 'Growing Man', 'Sōhaku Kago', 'John Wydell', 'Yardley', 'Baxter', 'Sree Narayana Guru', 'Foppish Man', 'Stephen Nakane', 'Marcus Junius Brutus', 'Ferdinand Lyle', 'Jamie Martin', 'Justin Morningway', 'John', 'Simias', 'Bhaal'];
triple_list = [("Male" -> "Sloan")[relation="characters of this gender"], ("Male" -> "Boss Keung")[relation="characters of this gender"], ("Male" -> "Sree Narayana Guru")[relation="characters of this gender"], ("Male" -> "Captain Jacob Keyes")[relation="characters of this gender"], ("Male" -> "Grinch")[relation="characters of this gender"], ("Male" -> "Jamie Martin")[relation="characters of this gender"], ("Male" -> "Alvin Bahe")[relation="characters of this gender"], ("Male" -> "Foppish Man")[relation="characters of this gender"], ("Male" -> "Jake Martin")[relation="characters of this gender"], ("Male" -> "Pepe")[relation="characters of this gender"], ("Male" -> "Johannes")[relation="characters of this gender"], ("Male" -> "Justin Morningway")[relation="characters of this gender"], ("Male" -> "Ferdinand Lyle")[relation="characters of this gender"], ("Male" -> "Marcus Junius Brutus")[relation="characters of this gender"], ("Male" -> "John Wydell")[relation="characters of this gender"], ("Male" -> "Bhaal")[relation="characters of this gender"], ("Male" -> "Michael Van Patrick")[relation="characters of this gender"], ("Male" -> "Simias")[relation="characters of this gender"], ("Male" -> "Stephen Nakane")[relation="characters of this gender"], ("Male" -> "Baxter")[relation="characters of this gender"], ("Male" -> "Yardley")[relation="characters of this gender"], ("Male" -> "Growing Man")[relation="characters of this gender"], ("Male" -> "John")[relation="characters of this gender"], ("Male" -> "Ralgha nar Hhallas")[relation="characters of this gender"], ("Male" -> "Sōhaku Kago")[relation="characters of this gender"], ("Male" -> "Tracker #1")[relation="characters of this gender"]];
}
``` | {
"node_list": [
"Grinch",
"Tracker #1",
"Johannes",
"Jake Martin",
"Ralgha nar Hhallas",
"Male",
"Alvin Bahe",
"Boss Keung",
"Pepe",
"Sloan",
"Captain Jacob Keyes",
"Michael Van Patrick",
"Growing Man",
"Sōhaku Kago",
"John Wydell",
"Yardley",
"Baxter",
"Sree Narayana Guru",
"Foppish Man",
"Stephen Nakane",
"Marcus Junius Brutus",
"Ferdinand Lyle",
"Jamie Martin",
"Justin Morningway",
"John",
"Simias",
"Bhaal"
],
"edge_list": [
[
"Male",
"characters of this gender",
"Sloan"
],
[
"Male",
"characters of this gender",
"Boss Keung"
],
[
"Male",
"characters of this gender",
"Sree Narayana Guru"
],
[
"Male",
"characters of this gender",
"Captain Jacob Keyes"
],
[
"Male",
"characters of this gender",
"Grinch"
],
[
"Male",
"characters of this gender",
"Jamie Martin"
],
[
"Male",
"characters of this gender",
"Alvin Bahe"
],
[
"Male",
"characters of this gender",
"Foppish Man"
],
[
"Male",
"characters of this gender",
"Jake Martin"
],
[
"Male",
"characters of this gender",
"Pepe"
],
[
"Male",
"characters of this gender",
"Johannes"
],
[
"Male",
"characters of this gender",
"Justin Morningway"
],
[
"Male",
"characters of this gender",
"Ferdinand Lyle"
],
[
"Male",
"characters of this gender",
"Marcus Junius Brutus"
],
[
"Male",
"characters of this gender",
"John Wydell"
],
[
"Male",
"characters of this gender",
"Bhaal"
],
[
"Male",
"characters of this gender",
"Michael Van Patrick"
],
[
"Male",
"characters of this gender",
"Simias"
],
[
"Male",
"characters of this gender",
"Stephen Nakane"
],
[
"Male",
"characters of this gender",
"Baxter"
],
[
"Male",
"characters of this gender",
"Yardley"
],
[
"Male",
"characters of this gender",
"Growing Man"
],
[
"Male",
"characters of this gender",
"John"
],
[
"Male",
"characters of this gender",
"Ralgha nar Hhallas"
],
[
"Male",
"characters of this gender",
"Sōhaku Kago"
],
[
"Male",
"characters of this gender",
"Tracker #1"
]
]
} | [
"I cannot answer the question directly. However, based on the world knowledge, the correct answer to the question is \"Jaxon Bieber\""
] | [] | medium | WebQuestions |
graph-language-modeling-graph-question-answering-webquestions | 2 | You are a good graph reasoner. Give you a graph language that describes a graph structure and node information. You need to understand the graph and the task definition, and answer the question.
Note: (i <-> j) means that node i and node j are connected with an undirected edge. (i -> j) means that node i and node j are connected with a directed edge.
```
Graph[name="freebase-knowledge-base"] {
entity_list = ['Mayaguana', 'Hurricane Lili', 'Central Andros', 'English Language', '1948 Miami hurricane', 'Marina Moore', 'Marsh Harbour', 'Tropical Storm Tammy', 'Henry Milton Taylor', 'Bahamas', '1919 Florida Keys hurricane', 'San Salvador and Rum Cay', 'Gale of 1878', "Deadman's Cay Airport", 'Hurricane Rita', '1932 Bahamas hurricane', 'Gregory Taylor', 'South Andros', 'UTC−05:00', '1945 Homestead hurricane', 'Coopers Town', 'Oneil Levy', 'Hurricane Andrew', 'Freeport', 'Crooked Island, Bahamas', 'Dominic Demeritte'];
triple_list = [("Bahamas" -> "Hurricane Lili")[relation="cyclones"], ("Bahamas" -> "Coopers Town")[relation="contains"], ("Bahamas" -> "1945 Homestead hurricane")[relation="cyclones"], ("Bahamas" -> "Freeport")[relation="administrative divisions"], ("Bahamas" -> "Tropical Storm Tammy")[relation="cyclones"], ("Bahamas" -> "1919 Florida Keys hurricane")[relation="cyclones"], ("Bahamas" -> "Dominic Demeritte")[relation="people born here"], ("Bahamas" -> "UTC−05:00")[relation="time zones"], ("Bahamas" -> "Hurricane Rita")[relation="cyclones"], ("Bahamas" -> "Deadman's Cay Airport")[relation="contains"], ("Bahamas" -> "Hurricane Andrew")[relation="cyclones"], ("Bahamas" -> "Gregory Taylor")[relation="people born here"], ("Bahamas" -> "English Language")[relation="languages spoken"], ("Bahamas" -> "1932 Bahamas hurricane")[relation="cyclones"], ("Bahamas" -> "Central Andros")[relation="first level divisions"], ("Bahamas" -> "Gale of 1878")[relation="cyclones"], ("Bahamas" -> "Marina Moore")[relation="people born here"], ("Bahamas" -> "Crooked Island, Bahamas")[relation="contains"], ("Bahamas" -> "Freeport")[relation="first level divisions"], ("Bahamas" -> "South Andros")[relation="first level divisions"], ("Bahamas" -> "Mayaguana")[relation="administrative divisions"], ("Bahamas" -> "1948 Miami hurricane")[relation="cyclones"], ("Bahamas" -> "Henry Milton Taylor")[relation="people born here"], ("Bahamas" -> "San Salvador and Rum Cay")[relation="contains"], ("Bahamas" -> "Oneil Levy")[relation="people born here"], ("Bahamas" -> "Marsh Harbour")[relation="contains"]];
}
```
Task definition: given a question and a corresponding knowledge graph, and find an entity in the graph and answer the question.
Q: what country is the grand bahama island in ?
A: | ```
Graph[name="freebase-knowledge-base"] {
entity_list = ['Mayaguana', 'Hurricane Lili', 'Central Andros', 'English Language', '1948 Miami hurricane', 'Marina Moore', 'Marsh Harbour', 'Tropical Storm Tammy', 'Henry Milton Taylor', 'Bahamas', '1919 Florida Keys hurricane', 'San Salvador and Rum Cay', 'Gale of 1878', "Deadman's Cay Airport", 'Hurricane Rita', '1932 Bahamas hurricane', 'Gregory Taylor', 'South Andros', 'UTC−05:00', '1945 Homestead hurricane', 'Coopers Town', 'Oneil Levy', 'Hurricane Andrew', 'Freeport', 'Crooked Island, Bahamas', 'Dominic Demeritte'];
triple_list = [("Bahamas" -> "Hurricane Lili")[relation="cyclones"], ("Bahamas" -> "Coopers Town")[relation="contains"], ("Bahamas" -> "1945 Homestead hurricane")[relation="cyclones"], ("Bahamas" -> "Freeport")[relation="administrative divisions"], ("Bahamas" -> "Tropical Storm Tammy")[relation="cyclones"], ("Bahamas" -> "1919 Florida Keys hurricane")[relation="cyclones"], ("Bahamas" -> "Dominic Demeritte")[relation="people born here"], ("Bahamas" -> "UTC−05:00")[relation="time zones"], ("Bahamas" -> "Hurricane Rita")[relation="cyclones"], ("Bahamas" -> "Deadman's Cay Airport")[relation="contains"], ("Bahamas" -> "Hurricane Andrew")[relation="cyclones"], ("Bahamas" -> "Gregory Taylor")[relation="people born here"], ("Bahamas" -> "English Language")[relation="languages spoken"], ("Bahamas" -> "1932 Bahamas hurricane")[relation="cyclones"], ("Bahamas" -> "Central Andros")[relation="first level divisions"], ("Bahamas" -> "Gale of 1878")[relation="cyclones"], ("Bahamas" -> "Marina Moore")[relation="people born here"], ("Bahamas" -> "Crooked Island, Bahamas")[relation="contains"], ("Bahamas" -> "Freeport")[relation="first level divisions"], ("Bahamas" -> "South Andros")[relation="first level divisions"], ("Bahamas" -> "Mayaguana")[relation="administrative divisions"], ("Bahamas" -> "1948 Miami hurricane")[relation="cyclones"], ("Bahamas" -> "Henry Milton Taylor")[relation="people born here"], ("Bahamas" -> "San Salvador and Rum Cay")[relation="contains"], ("Bahamas" -> "Oneil Levy")[relation="people born here"], ("Bahamas" -> "Marsh Harbour")[relation="contains"]];
}
``` | {
"node_list": [
"Mayaguana",
"Hurricane Lili",
"Central Andros",
"English Language",
"1948 Miami hurricane",
"Marina Moore",
"Marsh Harbour",
"Tropical Storm Tammy",
"Henry Milton Taylor",
"Bahamas",
"1919 Florida Keys hurricane",
"San Salvador and Rum Cay",
"Gale of 1878",
"Deadman's Cay Airport",
"Hurricane Rita",
"1932 Bahamas hurricane",
"Gregory Taylor",
"South Andros",
"UTC−05:00",
"1945 Homestead hurricane",
"Coopers Town",
"Oneil Levy",
"Hurricane Andrew",
"Freeport",
"Crooked Island, Bahamas",
"Dominic Demeritte"
],
"edge_list": [
[
"Bahamas",
"cyclones",
"Hurricane Lili"
],
[
"Bahamas",
"contains",
"Coopers Town"
],
[
"Bahamas",
"cyclones",
"1945 Homestead hurricane"
],
[
"Bahamas",
"administrative divisions",
"Freeport"
],
[
"Bahamas",
"cyclones",
"Tropical Storm Tammy"
],
[
"Bahamas",
"cyclones",
"1919 Florida Keys hurricane"
],
[
"Bahamas",
"people born here",
"Dominic Demeritte"
],
[
"Bahamas",
"time zones",
"UTC−05:00"
],
[
"Bahamas",
"cyclones",
"Hurricane Rita"
],
[
"Bahamas",
"contains",
"Deadman's Cay Airport"
],
[
"Bahamas",
"cyclones",
"Hurricane Andrew"
],
[
"Bahamas",
"people born here",
"Gregory Taylor"
],
[
"Bahamas",
"languages spoken",
"English Language"
],
[
"Bahamas",
"cyclones",
"1932 Bahamas hurricane"
],
[
"Bahamas",
"first level divisions",
"Central Andros"
],
[
"Bahamas",
"cyclones",
"Gale of 1878"
],
[
"Bahamas",
"people born here",
"Marina Moore"
],
[
"Bahamas",
"contains",
"Crooked Island, Bahamas"
],
[
"Bahamas",
"first level divisions",
"Freeport"
],
[
"Bahamas",
"first level divisions",
"South Andros"
],
[
"Bahamas",
"administrative divisions",
"Mayaguana"
],
[
"Bahamas",
"cyclones",
"1948 Miami hurricane"
],
[
"Bahamas",
"people born here",
"Henry Milton Taylor"
],
[
"Bahamas",
"contains",
"San Salvador and Rum Cay"
],
[
"Bahamas",
"people born here",
"Oneil Levy"
],
[
"Bahamas",
"contains",
"Marsh Harbour"
]
]
} | [
"Based on the graph, we can find a reasoning path ('Grand Bahama', 'containedby', 'Bahamas'), so the answer entity is \"Bahamas\""
] | [] | medium | WebQuestions |
graph-language-modeling-graph-question-answering-webquestions | 4 | You are a good graph reasoner. Give you a graph language that describes a graph structure and node information. You need to understand the graph and the task definition, and answer the question.
Note: (i <-> j) means that node i and node j are connected with an undirected edge. (i -> j) means that node i and node j are connected with a directed edge.
```
Graph[name="freebase-knowledge-base"] {
entity_list = ['Benny the Bull', '1996 NBA Finals', 'Chicago Bulls', 'New York City', 'Basketball player', 'Jerry Reinsdorf', '1993 NBA Finals', 'Yannick Noah', 'Red', 'France', 'African American', 'Basketball', 'Chicago', '1991 NBA Finals', 'Central Division', '1992 NBA Finals', 'James D. Stern', 'United States of America', '180px-Chicago Bulls logo.png', 'Tom Thibodeau', '1997 NBA Finals', 'Eastern Conference', 'Cécilia Rodhe', 'Joakim Noah', 'White', 'Joakim Noah 2', 'Joakim Noah warming up before a Chicago Bulls game', '1998 NBA Finals'];
triple_list = [("Chicago Bulls" -> "180px-Chicago Bulls logo.png")[relation="image"], ("Joakim Noah" -> "United States of America")[relation="nationality"], ("Chicago Bulls" -> "James D. Stern")[relation="owner s"], ("Chicago Bulls" -> "Basketball")[relation="sport"], ("Joakim Noah" -> "Basketball player")[relation="profession"], ("Joakim Noah" -> "France")[relation="nationality"], ("Chicago Bulls" -> "Eastern Conference")[relation="conference"], ("Chicago Bulls" -> "1996 NBA Finals")[relation="championships"], ("Chicago Bulls" -> "Chicago")[relation="location"], ("Chicago Bulls" -> "Red")[relation="colors"], ("Chicago Bulls" -> "1991 NBA Finals")[relation="championships"], ("Joakim Noah" -> "Joakim Noah 2")[relation="image"], ("Chicago Bulls" -> "1998 NBA Finals")[relation="championships"], ("Chicago Bulls" -> "Tom Thibodeau")[relation="head coach"], ("Chicago Bulls" -> "Jerry Reinsdorf")[relation="owner s"], ("Chicago Bulls" -> "1997 NBA Finals")[relation="championships"], ("Chicago Bulls" -> "White")[relation="colors"], ("Joakim Noah" -> "Joakim Noah warming up before a Chicago Bulls game")[relation="image"], ("Joakim Noah" -> "African American")[relation="ethnicity"], ("Chicago Bulls" -> "Benny the Bull")[relation="team mascot"], ("Chicago Bulls" -> "1993 NBA Finals")[relation="championships"], ("Chicago Bulls" -> "1992 NBA Finals")[relation="championships"], ("Chicago Bulls" -> "Central Division")[relation="division"], ("Joakim Noah" -> "Cécilia Rodhe")[relation="parents"], ("Joakim Noah" -> "New York City")[relation="place of birth"], ("Joakim Noah" -> "Yannick Noah")[relation="parents"]];
}
```
Task definition: given a question and a corresponding knowledge graph, and find an entity in the graph and answer the question.
Q: who does joakim noah play for ?
A: | ```
Graph[name="freebase-knowledge-base"] {
entity_list = ['Benny the Bull', '1996 NBA Finals', 'Chicago Bulls', 'New York City', 'Basketball player', 'Jerry Reinsdorf', '1993 NBA Finals', 'Yannick Noah', 'Red', 'France', 'African American', 'Basketball', 'Chicago', '1991 NBA Finals', 'Central Division', '1992 NBA Finals', 'James D. Stern', 'United States of America', '180px-Chicago Bulls logo.png', 'Tom Thibodeau', '1997 NBA Finals', 'Eastern Conference', 'Cécilia Rodhe', 'Joakim Noah', 'White', 'Joakim Noah 2', 'Joakim Noah warming up before a Chicago Bulls game', '1998 NBA Finals'];
triple_list = [("Chicago Bulls" -> "180px-Chicago Bulls logo.png")[relation="image"], ("Joakim Noah" -> "United States of America")[relation="nationality"], ("Chicago Bulls" -> "James D. Stern")[relation="owner s"], ("Chicago Bulls" -> "Basketball")[relation="sport"], ("Joakim Noah" -> "Basketball player")[relation="profession"], ("Joakim Noah" -> "France")[relation="nationality"], ("Chicago Bulls" -> "Eastern Conference")[relation="conference"], ("Chicago Bulls" -> "1996 NBA Finals")[relation="championships"], ("Chicago Bulls" -> "Chicago")[relation="location"], ("Chicago Bulls" -> "Red")[relation="colors"], ("Chicago Bulls" -> "1991 NBA Finals")[relation="championships"], ("Joakim Noah" -> "Joakim Noah 2")[relation="image"], ("Chicago Bulls" -> "1998 NBA Finals")[relation="championships"], ("Chicago Bulls" -> "Tom Thibodeau")[relation="head coach"], ("Chicago Bulls" -> "Jerry Reinsdorf")[relation="owner s"], ("Chicago Bulls" -> "1997 NBA Finals")[relation="championships"], ("Chicago Bulls" -> "White")[relation="colors"], ("Joakim Noah" -> "Joakim Noah warming up before a Chicago Bulls game")[relation="image"], ("Joakim Noah" -> "African American")[relation="ethnicity"], ("Chicago Bulls" -> "Benny the Bull")[relation="team mascot"], ("Chicago Bulls" -> "1993 NBA Finals")[relation="championships"], ("Chicago Bulls" -> "1992 NBA Finals")[relation="championships"], ("Chicago Bulls" -> "Central Division")[relation="division"], ("Joakim Noah" -> "Cécilia Rodhe")[relation="parents"], ("Joakim Noah" -> "New York City")[relation="place of birth"], ("Joakim Noah" -> "Yannick Noah")[relation="parents"]];
}
``` | {
"node_list": [
"Benny the Bull",
"1996 NBA Finals",
"Chicago Bulls",
"New York City",
"Basketball player",
"Jerry Reinsdorf",
"1993 NBA Finals",
"Yannick Noah",
"Red",
"France",
"African American",
"Basketball",
"Chicago",
"1991 NBA Finals",
"Central Division",
"1992 NBA Finals",
"James D. Stern",
"United States of America",
"180px-Chicago Bulls logo.png",
"Tom Thibodeau",
"1997 NBA Finals",
"Eastern Conference",
"Cécilia Rodhe",
"Joakim Noah",
"White",
"Joakim Noah 2",
"Joakim Noah warming up before a Chicago Bulls game",
"1998 NBA Finals"
],
"edge_list": [
[
"Chicago Bulls",
"image",
"180px-Chicago Bulls logo.png"
],
[
"Joakim Noah",
"nationality",
"United States of America"
],
[
"Chicago Bulls",
"owner s",
"James D. Stern"
],
[
"Chicago Bulls",
"sport",
"Basketball"
],
[
"Joakim Noah",
"profession",
"Basketball player"
],
[
"Joakim Noah",
"nationality",
"France"
],
[
"Chicago Bulls",
"conference",
"Eastern Conference"
],
[
"Chicago Bulls",
"championships",
"1996 NBA Finals"
],
[
"Chicago Bulls",
"location",
"Chicago"
],
[
"Chicago Bulls",
"colors",
"Red"
],
[
"Chicago Bulls",
"championships",
"1991 NBA Finals"
],
[
"Joakim Noah",
"image",
"Joakim Noah 2"
],
[
"Chicago Bulls",
"championships",
"1998 NBA Finals"
],
[
"Chicago Bulls",
"head coach",
"Tom Thibodeau"
],
[
"Chicago Bulls",
"owner s",
"Jerry Reinsdorf"
],
[
"Chicago Bulls",
"championships",
"1997 NBA Finals"
],
[
"Chicago Bulls",
"colors",
"White"
],
[
"Joakim Noah",
"image",
"Joakim Noah warming up before a Chicago Bulls game"
],
[
"Joakim Noah",
"ethnicity",
"African American"
],
[
"Chicago Bulls",
"team mascot",
"Benny the Bull"
],
[
"Chicago Bulls",
"championships",
"1993 NBA Finals"
],
[
"Chicago Bulls",
"championships",
"1992 NBA Finals"
],
[
"Chicago Bulls",
"division",
"Central Division"
],
[
"Joakim Noah",
"parents",
"Cécilia Rodhe"
],
[
"Joakim Noah",
"place of birth",
"New York City"
],
[
"Joakim Noah",
"parents",
"Yannick Noah"
]
]
} | [
"I cannot answer the question directly. However, based on the world knowledge, the correct answer to the question is \"Chicago Bulls\""
] | [] | medium | WebQuestions |
graph-language-modeling-graph-question-answering-webquestions | 5 | You are a good graph reasoner. Give you a graph language that describes a graph structure and node information. You need to understand the graph and the task definition, and answer the question.
Note: (i <-> j) means that node i and node j are connected with an undirected edge. (i -> j) means that node i and node j are connected with a directed edge.
```
Graph[name="freebase-knowledge-base"] {
entity_list = ['Harry Potter and the Goblet of Fire', 'Draco Malfoy', 'Hogwarts School of Witchcraft and Wizardry', 'Elder Wand', 'J. K. Rowling', 'Male', 'Female', 'Harry Potter', 'Harry Potter and the Chamber of Secrets', 'Death Eaters', 'Occlumency', "Harry Potter and the Philosopher's Stone", 'Magic in Harry Potter', 'Harry Potter and the Half-Blood Prince', 'Astoria Greengrass', 'Harry Potter and the Order of the Phoenix', 'Harry Potter and the Deathly Hallows', 'Narcissa Malfoy', 'Lucius Malfoy', 'Harry Potter and the Prisoner of Azkaban', 'Slytherin House'];
triple_list = [("Draco Malfoy" -> "Narcissa Malfoy")[relation="parents"], ("Draco Malfoy" -> "Occlumency")[relation="powers or abilities"], ("Draco Malfoy" -> "Harry Potter and the Order of the Phoenix")[relation="appears in book"], ("Astoria Greengrass" -> "Female")[relation="gender"], ("Draco Malfoy" -> "Elder Wand")[relation="has possessed"], ("Astoria Greengrass" -> "Harry Potter and the Deathly Hallows")[relation="appears in book"], ("Draco Malfoy" -> "Harry Potter and the Prisoner of Azkaban")[relation="appears in book"], ("Draco Malfoy" -> "Harry Potter and the Chamber of Secrets")[relation="appears in book"], ("Draco Malfoy" -> "Lucius Malfoy")[relation="parents"], ("Draco Malfoy" -> "Male")[relation="gender"], ("Draco Malfoy" -> "Harry Potter")[relation="appears in these fictional universes"], ("Draco Malfoy" -> "Hogwarts School of Witchcraft and Wizardry")[relation="education"], ("Draco Malfoy" -> "Harry Potter and the Half-Blood Prince")[relation="appears in book"], ("Draco Malfoy" -> "Slytherin House")[relation="organizations"], ("Draco Malfoy" -> "Harry Potter and the Deathly Hallows")[relation="appears in book"], ("Draco Malfoy" -> "Magic in Harry Potter")[relation="powers or abilities"], ("Draco Malfoy" -> "J. K. Rowling")[relation="character created by"], ("Draco Malfoy" -> "Death Eaters")[relation="organizations"], ("Draco Malfoy" -> "Harry Potter and the Philosopher's Stone")[relation="appears in book"], ("Draco Malfoy" -> "Harry Potter and the Goblet of Fire")[relation="appears in book"], ("Astoria Greengrass" -> "Harry Potter")[relation="appears in these fictional universes"], ("Astoria Greengrass" -> "J. K. Rowling")[relation="character created by"]];
}
```
Task definition: given a question and a corresponding knowledge graph, and find an entity in the graph and answer the question.
Q: who did draco malloy end up marrying ?
A: | ```
Graph[name="freebase-knowledge-base"] {
entity_list = ['Harry Potter and the Goblet of Fire', 'Draco Malfoy', 'Hogwarts School of Witchcraft and Wizardry', 'Elder Wand', 'J. K. Rowling', 'Male', 'Female', 'Harry Potter', 'Harry Potter and the Chamber of Secrets', 'Death Eaters', 'Occlumency', "Harry Potter and the Philosopher's Stone", 'Magic in Harry Potter', 'Harry Potter and the Half-Blood Prince', 'Astoria Greengrass', 'Harry Potter and the Order of the Phoenix', 'Harry Potter and the Deathly Hallows', 'Narcissa Malfoy', 'Lucius Malfoy', 'Harry Potter and the Prisoner of Azkaban', 'Slytherin House'];
triple_list = [("Draco Malfoy" -> "Narcissa Malfoy")[relation="parents"], ("Draco Malfoy" -> "Occlumency")[relation="powers or abilities"], ("Draco Malfoy" -> "Harry Potter and the Order of the Phoenix")[relation="appears in book"], ("Astoria Greengrass" -> "Female")[relation="gender"], ("Draco Malfoy" -> "Elder Wand")[relation="has possessed"], ("Astoria Greengrass" -> "Harry Potter and the Deathly Hallows")[relation="appears in book"], ("Draco Malfoy" -> "Harry Potter and the Prisoner of Azkaban")[relation="appears in book"], ("Draco Malfoy" -> "Harry Potter and the Chamber of Secrets")[relation="appears in book"], ("Draco Malfoy" -> "Lucius Malfoy")[relation="parents"], ("Draco Malfoy" -> "Male")[relation="gender"], ("Draco Malfoy" -> "Harry Potter")[relation="appears in these fictional universes"], ("Draco Malfoy" -> "Hogwarts School of Witchcraft and Wizardry")[relation="education"], ("Draco Malfoy" -> "Harry Potter and the Half-Blood Prince")[relation="appears in book"], ("Draco Malfoy" -> "Slytherin House")[relation="organizations"], ("Draco Malfoy" -> "Harry Potter and the Deathly Hallows")[relation="appears in book"], ("Draco Malfoy" -> "Magic in Harry Potter")[relation="powers or abilities"], ("Draco Malfoy" -> "J. K. Rowling")[relation="character created by"], ("Draco Malfoy" -> "Death Eaters")[relation="organizations"], ("Draco Malfoy" -> "Harry Potter and the Philosopher's Stone")[relation="appears in book"], ("Draco Malfoy" -> "Harry Potter and the Goblet of Fire")[relation="appears in book"], ("Astoria Greengrass" -> "Harry Potter")[relation="appears in these fictional universes"], ("Astoria Greengrass" -> "J. K. Rowling")[relation="character created by"]];
}
``` | {
"node_list": [
"Harry Potter and the Goblet of Fire",
"Draco Malfoy",
"Hogwarts School of Witchcraft and Wizardry",
"Elder Wand",
"J. K. Rowling",
"Male",
"Female",
"Harry Potter",
"Harry Potter and the Chamber of Secrets",
"Death Eaters",
"Occlumency",
"Harry Potter and the Philosopher's Stone",
"Magic in Harry Potter",
"Harry Potter and the Half-Blood Prince",
"Astoria Greengrass",
"Harry Potter and the Order of the Phoenix",
"Harry Potter and the Deathly Hallows",
"Narcissa Malfoy",
"Lucius Malfoy",
"Harry Potter and the Prisoner of Azkaban",
"Slytherin House"
],
"edge_list": [
[
"Draco Malfoy",
"parents",
"Narcissa Malfoy"
],
[
"Draco Malfoy",
"powers or abilities",
"Occlumency"
],
[
"Draco Malfoy",
"appears in book",
"Harry Potter and the Order of the Phoenix"
],
[
"Astoria Greengrass",
"gender",
"Female"
],
[
"Draco Malfoy",
"has possessed",
"Elder Wand"
],
[
"Astoria Greengrass",
"appears in book",
"Harry Potter and the Deathly Hallows"
],
[
"Draco Malfoy",
"appears in book",
"Harry Potter and the Prisoner of Azkaban"
],
[
"Draco Malfoy",
"appears in book",
"Harry Potter and the Chamber of Secrets"
],
[
"Draco Malfoy",
"parents",
"Lucius Malfoy"
],
[
"Draco Malfoy",
"gender",
"Male"
],
[
"Draco Malfoy",
"appears in these fictional universes",
"Harry Potter"
],
[
"Draco Malfoy",
"education",
"Hogwarts School of Witchcraft and Wizardry"
],
[
"Draco Malfoy",
"appears in book",
"Harry Potter and the Half-Blood Prince"
],
[
"Draco Malfoy",
"organizations",
"Slytherin House"
],
[
"Draco Malfoy",
"appears in book",
"Harry Potter and the Deathly Hallows"
],
[
"Draco Malfoy",
"powers or abilities",
"Magic in Harry Potter"
],
[
"Draco Malfoy",
"character created by",
"J. K. Rowling"
],
[
"Draco Malfoy",
"organizations",
"Death Eaters"
],
[
"Draco Malfoy",
"appears in book",
"Harry Potter and the Philosopher's Stone"
],
[
"Draco Malfoy",
"appears in book",
"Harry Potter and the Goblet of Fire"
],
[
"Astoria Greengrass",
"appears in these fictional universes",
"Harry Potter"
],
[
"Astoria Greengrass",
"character created by",
"J. K. Rowling"
]
]
} | [
"I cannot answer the question directly. However, based on the world knowledge, the correct answer to the question is \"Astoria Greengrass\""
] | [] | medium | WebQuestions |
graph-language-modeling-graph-question-answering-webquestions | 6 | You are a good graph reasoner. Give you a graph language that describes a graph structure and node information. You need to understand the graph and the task definition, and answer the question.
Note: (i <-> j) means that node i and node j are connected with an undirected edge. (i -> j) means that node i and node j are connected with a directed edge.
```
Graph[name="freebase-knowledge-base"] {
entity_list = ['Tuglie', 'Pietransieri', 'Falerna', 'Sal Sparace', 'Scream of the Demon Lover', 'Cadorago', '2014 Supercoppa Italiana', 'La prise de pouvoir par Louis XIV', 'Rebibbia', 'San Benedetto Po', 'Luca Angeletti', 'Tony Terlazzo', 'Milko Skofic Jr.', "Deformation mechanisms, architecture, and petrophysical properties of large normal faults in platform carbonates and their role in the release of CO₂ from earth's interior in central Italy", 'Tartano', "Sant'Andrea delle Fratte", 'Walter Lazzaro', 'Oricola', 'Castel Viscardo', 'Julius Caesar', 'Guglielmo Scilla', 'Stintino', 'Pozzol Groppo', 'Otello Trombetta', 'Ministry of Foreign Affairs', 'Italy', 'Calvanico', 'Rome'];
triple_list = [("Rome" -> "Milko Skofic Jr.")[relation="people born here"], ("Italy" -> "San Benedetto Po")[relation="contains"], ("Italy" -> "Cadorago")[relation="contains"], ("Rome" -> "Walter Lazzaro")[relation="people born here"], ("Italy" -> "Ministry of Foreign Affairs")[relation="agencies"], ("Italy" -> "Pozzol Groppo")[relation="contains"], ("Italy" -> "Calvanico")[relation="contains"], ("Italy" -> "Scream of the Demon Lover")[relation="titles"], ("Italy" -> "2014 Supercoppa Italiana")[relation="events"], ("Italy" -> "Tony Terlazzo")[relation="people born here"], ("Rome" -> "Guglielmo Scilla")[relation="people born here"], ("Italy" -> "Sant'Andrea delle Fratte")[relation="contains"], ("Italy" -> "Oricola")[relation="contains"], ("Italy" -> "La prise de pouvoir par Louis XIV")[relation="titles"], ("Italy" -> "Tuglie")[relation="contains"], ("Italy" -> "Pietransieri")[relation="contains"], ("Italy" -> "Falerna")[relation="contains"], ("Italy" -> "Deformation mechanisms, architecture, and petrophysical properties of large normal faults in platform carbonates and their role in the release of CO₂ from earth's interior in central Italy")[relation="works"], ("Rome" -> "Otello Trombetta")[relation="people born here"], ("Italy" -> "Stintino")[relation="contains"], ("Italy" -> "Castel Viscardo")[relation="contains"], ("Italy" -> "Tartano")[relation="contains"], ("Italy" -> "Sal Sparace")[relation="people born here"], ("Rome" -> "Luca Angeletti")[relation="people born here"], ("Italy" -> "Rebibbia")[relation="contains"], ("Rome" -> "Julius Caesar")[relation="people born here"]];
}
```
Task definition: given a question and a corresponding knowledge graph, and find an entity in the graph and answer the question.
Q: where is rome italy located on a map ?
A: | ```
Graph[name="freebase-knowledge-base"] {
entity_list = ['Tuglie', 'Pietransieri', 'Falerna', 'Sal Sparace', 'Scream of the Demon Lover', 'Cadorago', '2014 Supercoppa Italiana', 'La prise de pouvoir par Louis XIV', 'Rebibbia', 'San Benedetto Po', 'Luca Angeletti', 'Tony Terlazzo', 'Milko Skofic Jr.', "Deformation mechanisms, architecture, and petrophysical properties of large normal faults in platform carbonates and their role in the release of CO₂ from earth's interior in central Italy", 'Tartano', "Sant'Andrea delle Fratte", 'Walter Lazzaro', 'Oricola', 'Castel Viscardo', 'Julius Caesar', 'Guglielmo Scilla', 'Stintino', 'Pozzol Groppo', 'Otello Trombetta', 'Ministry of Foreign Affairs', 'Italy', 'Calvanico', 'Rome'];
triple_list = [("Rome" -> "Milko Skofic Jr.")[relation="people born here"], ("Italy" -> "San Benedetto Po")[relation="contains"], ("Italy" -> "Cadorago")[relation="contains"], ("Rome" -> "Walter Lazzaro")[relation="people born here"], ("Italy" -> "Ministry of Foreign Affairs")[relation="agencies"], ("Italy" -> "Pozzol Groppo")[relation="contains"], ("Italy" -> "Calvanico")[relation="contains"], ("Italy" -> "Scream of the Demon Lover")[relation="titles"], ("Italy" -> "2014 Supercoppa Italiana")[relation="events"], ("Italy" -> "Tony Terlazzo")[relation="people born here"], ("Rome" -> "Guglielmo Scilla")[relation="people born here"], ("Italy" -> "Sant'Andrea delle Fratte")[relation="contains"], ("Italy" -> "Oricola")[relation="contains"], ("Italy" -> "La prise de pouvoir par Louis XIV")[relation="titles"], ("Italy" -> "Tuglie")[relation="contains"], ("Italy" -> "Pietransieri")[relation="contains"], ("Italy" -> "Falerna")[relation="contains"], ("Italy" -> "Deformation mechanisms, architecture, and petrophysical properties of large normal faults in platform carbonates and their role in the release of CO₂ from earth's interior in central Italy")[relation="works"], ("Rome" -> "Otello Trombetta")[relation="people born here"], ("Italy" -> "Stintino")[relation="contains"], ("Italy" -> "Castel Viscardo")[relation="contains"], ("Italy" -> "Tartano")[relation="contains"], ("Italy" -> "Sal Sparace")[relation="people born here"], ("Rome" -> "Luca Angeletti")[relation="people born here"], ("Italy" -> "Rebibbia")[relation="contains"], ("Rome" -> "Julius Caesar")[relation="people born here"]];
}
``` | {
"node_list": [
"Tuglie",
"Pietransieri",
"Falerna",
"Sal Sparace",
"Scream of the Demon Lover",
"Cadorago",
"2014 Supercoppa Italiana",
"La prise de pouvoir par Louis XIV",
"Rebibbia",
"San Benedetto Po",
"Luca Angeletti",
"Tony Terlazzo",
"Milko Skofic Jr.",
"Deformation mechanisms, architecture, and petrophysical properties of large normal faults in platform carbonates and their role in the release of CO₂ from earth's interior in central Italy",
"Tartano",
"Sant'Andrea delle Fratte",
"Walter Lazzaro",
"Oricola",
"Castel Viscardo",
"Julius Caesar",
"Guglielmo Scilla",
"Stintino",
"Pozzol Groppo",
"Otello Trombetta",
"Ministry of Foreign Affairs",
"Italy",
"Calvanico",
"Rome"
],
"edge_list": [
[
"Rome",
"people born here",
"Milko Skofic Jr."
],
[
"Italy",
"contains",
"San Benedetto Po"
],
[
"Italy",
"contains",
"Cadorago"
],
[
"Rome",
"people born here",
"Walter Lazzaro"
],
[
"Italy",
"agencies",
"Ministry of Foreign Affairs"
],
[
"Italy",
"contains",
"Pozzol Groppo"
],
[
"Italy",
"contains",
"Calvanico"
],
[
"Italy",
"titles",
"Scream of the Demon Lover"
],
[
"Italy",
"events",
"2014 Supercoppa Italiana"
],
[
"Italy",
"people born here",
"Tony Terlazzo"
],
[
"Rome",
"people born here",
"Guglielmo Scilla"
],
[
"Italy",
"contains",
"Sant'Andrea delle Fratte"
],
[
"Italy",
"contains",
"Oricola"
],
[
"Italy",
"titles",
"La prise de pouvoir par Louis XIV"
],
[
"Italy",
"contains",
"Tuglie"
],
[
"Italy",
"contains",
"Pietransieri"
],
[
"Italy",
"contains",
"Falerna"
],
[
"Italy",
"works",
"Deformation mechanisms, architecture, and petrophysical properties of large normal faults in platform carbonates and their role in the release of CO₂ from earth's interior in central Italy"
],
[
"Rome",
"people born here",
"Otello Trombetta"
],
[
"Italy",
"contains",
"Stintino"
],
[
"Italy",
"contains",
"Castel Viscardo"
],
[
"Italy",
"contains",
"Tartano"
],
[
"Italy",
"people born here",
"Sal Sparace"
],
[
"Rome",
"people born here",
"Luca Angeletti"
],
[
"Italy",
"contains",
"Rebibbia"
],
[
"Rome",
"people born here",
"Julius Caesar"
]
]
} | [
"Based on the graph, we can find a reasoning path ('Lazio', 'administrative parent', 'Italy'), so the answer entity is \"Province of Rome\"",
"Based on the graph, we can find a reasoning path ('Lazio', 'administrative parent', 'Italy'), so the answer entity is \"Italy\"",
"Based on the graph, we can find a reasoning path ('Lazio', 'administrative parent', 'Italy'), so the answer entity is \"Lazio\""
] | [] | medium | WebQuestions |
graph-language-modeling-graph-question-answering-webquestions | 8 | You are a good graph reasoner. Give you a graph language that describes a graph structure and node information. You need to understand the graph and the task definition, and answer the question.
Note: (i <-> j) means that node i and node j are connected with an undirected edge. (i -> j) means that node i and node j are connected with a directed edge.
```
Graph[name="freebase-knowledge-base"] {
entity_list = ['Garuda Wisnu Kencana', 'Eat Pray Love', 'Mount Batur', 'Tanah Lot', 'Denpasar', 'No frills', "In God's Hands", 'Indonesia', 'Battle of Badung Strait', 'Bali', 'Time zone(s)', 'Padangbai', 'Klungkung Regency', 'Population', 'Tampaksiring', 'Buleleng Regency', 'Ngurah Rai International Airport', 'JetVizor Charter USA', 'Mount Merbuk', 'FOX Vakanties', 'Kuta', 'Bratan', 'Air Transportation', 'Paula Gosselaar', 'Jimbaran', 'Jembrana Regency', 'Badung Regency'];
triple_list = [("Bali" -> "Population")[relation="is reviewed"], ("Bali" -> "Kuta")[relation="contains"], ("Bali" -> "In God's Hands")[relation="featured in films"], ("Bali" -> "FOX Vakanties")[relation="tour operators"], ("Bali" -> "Battle of Badung Strait")[relation="events"], ("Bali" -> "Klungkung Regency")[relation="contains"], ("Bali" -> "Buleleng Regency")[relation="contains"], ("Bali" -> "Mount Batur")[relation="contains"], ("Bali" -> "Denpasar")[relation="Capital"], ("Ngurah Rai International Airport" -> "Bali")[relation="containedby"], ("Bali" -> "Jimbaran")[relation="contains"], ("Bali" -> "Padangbai")[relation="contains"], ("Bali" -> "Badung Regency")[relation="administrative children"], ("Bali" -> "Tampaksiring")[relation="contains"], ("Bali" -> "Time zone(s)")[relation="is reviewed"], ("Bali" -> "Paula Gosselaar")[relation="people born here"], ("Bali" -> "Tanah Lot")[relation="contains"], ("Bali" -> "Denpasar")[relation="administrative children"], ("Bali" -> "Jembrana Regency")[relation="administrative children"], ("Bali" -> "Mount Merbuk")[relation="contains"], ("Air Transportation" -> "No frills")[relation="works"], ("Bali" -> "Eat Pray Love")[relation="featured in films"], ("Air Transportation" -> "JetVizor Charter USA")[relation="organizations in this sector"], ("Ngurah Rai International Airport" -> "Indonesia")[relation="containedby"], ("Bali" -> "Garuda Wisnu Kencana")[relation="tourist attractions"], ("Bali" -> "Bratan")[relation="contains"]];
}
```
Task definition: given a question and a corresponding knowledge graph, and find an entity in the graph and answer the question.
Q: where to fly into bali ?
A: | ```
Graph[name="freebase-knowledge-base"] {
entity_list = ['Garuda Wisnu Kencana', 'Eat Pray Love', 'Mount Batur', 'Tanah Lot', 'Denpasar', 'No frills', "In God's Hands", 'Indonesia', 'Battle of Badung Strait', 'Bali', 'Time zone(s)', 'Padangbai', 'Klungkung Regency', 'Population', 'Tampaksiring', 'Buleleng Regency', 'Ngurah Rai International Airport', 'JetVizor Charter USA', 'Mount Merbuk', 'FOX Vakanties', 'Kuta', 'Bratan', 'Air Transportation', 'Paula Gosselaar', 'Jimbaran', 'Jembrana Regency', 'Badung Regency'];
triple_list = [("Bali" -> "Population")[relation="is reviewed"], ("Bali" -> "Kuta")[relation="contains"], ("Bali" -> "In God's Hands")[relation="featured in films"], ("Bali" -> "FOX Vakanties")[relation="tour operators"], ("Bali" -> "Battle of Badung Strait")[relation="events"], ("Bali" -> "Klungkung Regency")[relation="contains"], ("Bali" -> "Buleleng Regency")[relation="contains"], ("Bali" -> "Mount Batur")[relation="contains"], ("Bali" -> "Denpasar")[relation="Capital"], ("Ngurah Rai International Airport" -> "Bali")[relation="containedby"], ("Bali" -> "Jimbaran")[relation="contains"], ("Bali" -> "Padangbai")[relation="contains"], ("Bali" -> "Badung Regency")[relation="administrative children"], ("Bali" -> "Tampaksiring")[relation="contains"], ("Bali" -> "Time zone(s)")[relation="is reviewed"], ("Bali" -> "Paula Gosselaar")[relation="people born here"], ("Bali" -> "Tanah Lot")[relation="contains"], ("Bali" -> "Denpasar")[relation="administrative children"], ("Bali" -> "Jembrana Regency")[relation="administrative children"], ("Bali" -> "Mount Merbuk")[relation="contains"], ("Air Transportation" -> "No frills")[relation="works"], ("Bali" -> "Eat Pray Love")[relation="featured in films"], ("Air Transportation" -> "JetVizor Charter USA")[relation="organizations in this sector"], ("Ngurah Rai International Airport" -> "Indonesia")[relation="containedby"], ("Bali" -> "Garuda Wisnu Kencana")[relation="tourist attractions"], ("Bali" -> "Bratan")[relation="contains"]];
}
``` | {
"node_list": [
"Garuda Wisnu Kencana",
"Eat Pray Love",
"Mount Batur",
"Tanah Lot",
"Denpasar",
"No frills",
"In God's Hands",
"Indonesia",
"Battle of Badung Strait",
"Bali",
"Time zone(s)",
"Padangbai",
"Klungkung Regency",
"Population",
"Tampaksiring",
"Buleleng Regency",
"Ngurah Rai International Airport",
"JetVizor Charter USA",
"Mount Merbuk",
"FOX Vakanties",
"Kuta",
"Bratan",
"Air Transportation",
"Paula Gosselaar",
"Jimbaran",
"Jembrana Regency",
"Badung Regency"
],
"edge_list": [
[
"Bali",
"is reviewed",
"Population"
],
[
"Bali",
"contains",
"Kuta"
],
[
"Bali",
"featured in films",
"In God's Hands"
],
[
"Bali",
"tour operators",
"FOX Vakanties"
],
[
"Bali",
"events",
"Battle of Badung Strait"
],
[
"Bali",
"contains",
"Klungkung Regency"
],
[
"Bali",
"contains",
"Buleleng Regency"
],
[
"Bali",
"contains",
"Mount Batur"
],
[
"Bali",
"Capital",
"Denpasar"
],
[
"Ngurah Rai International Airport",
"containedby",
"Bali"
],
[
"Bali",
"contains",
"Jimbaran"
],
[
"Bali",
"contains",
"Padangbai"
],
[
"Bali",
"administrative children",
"Badung Regency"
],
[
"Bali",
"contains",
"Tampaksiring"
],
[
"Bali",
"is reviewed",
"Time zone(s)"
],
[
"Bali",
"people born here",
"Paula Gosselaar"
],
[
"Bali",
"contains",
"Tanah Lot"
],
[
"Bali",
"administrative children",
"Denpasar"
],
[
"Bali",
"administrative children",
"Jembrana Regency"
],
[
"Bali",
"contains",
"Mount Merbuk"
],
[
"Air Transportation",
"works",
"No frills"
],
[
"Bali",
"featured in films",
"Eat Pray Love"
],
[
"Air Transportation",
"organizations in this sector",
"JetVizor Charter USA"
],
[
"Ngurah Rai International Airport",
"containedby",
"Indonesia"
],
[
"Bali",
"tourist attractions",
"Garuda Wisnu Kencana"
],
[
"Bali",
"contains",
"Bratan"
]
]
} | [
"Based on the world knowledge, the correct answer to the question is \"Ngurah Rai Airport\", but the answer is not existing in the graph."
] | [] | medium | WebQuestions |
graph-language-modeling-graph-question-answering-webquestions | 10 | You are a good graph reasoner. Give you a graph language that describes a graph structure and node information. You need to understand the graph and the task definition, and answer the question.
Note: (i <-> j) means that node i and node j are connected with an undirected edge. (i -> j) means that node i and node j are connected with a directed edge.
```
Graph[name="freebase-knowledge-base"] {
entity_list = ['Yavapai County', 'Area code 928', 'The Karate Kid', 'Harry and Tonto', 'American Anthem', 'Arizona', 'Coconino County', 'Stay Away, Joe', 'Sedona', 'Mountain Time Zone', 'Rounders', 'What Planet Are You From?', 'United States of America', 'Taylor Cabin Line Camp', 'Bi the Way', 'Johnny Guitar'];
triple_list = [("Sedona" -> "Stay Away, Joe")[relation="featured in films"], ("Sedona" -> "The Karate Kid")[relation="featured in films"], ("Sedona" -> "What Planet Are You From?")[relation="featured in films"], ("Sedona" -> "United States of America")[relation="containedby"], ("Sedona" -> "Bi the Way")[relation="featured in films"], ("Sedona" -> "United States of America")[relation="country"], ("Sedona" -> "Rounders")[relation="featured in films"], ("Sedona" -> "American Anthem")[relation="featured in films"], ("Sedona" -> "Yavapai County")[relation="containedby"], ("Sedona" -> "Harry and Tonto")[relation="featured in films"], ("Sedona" -> "Mountain Time Zone")[relation="time zones"], ("Sedona" -> "Arizona")[relation="state"], ("Sedona" -> "Coconino County")[relation="containedby"], ("Sedona" -> "Arizona")[relation="containedby"], ("Sedona" -> "Johnny Guitar")[relation="featured in films"], ("Sedona" -> "Area code 928")[relation="area code"], ("Sedona" -> "Taylor Cabin Line Camp")[relation="contains"]];
}
```
Task definition: given a question and a corresponding knowledge graph, and find an entity in the graph and answer the question.
Q: what to see near sedona arizona ?
A: | ```
Graph[name="freebase-knowledge-base"] {
entity_list = ['Yavapai County', 'Area code 928', 'The Karate Kid', 'Harry and Tonto', 'American Anthem', 'Arizona', 'Coconino County', 'Stay Away, Joe', 'Sedona', 'Mountain Time Zone', 'Rounders', 'What Planet Are You From?', 'United States of America', 'Taylor Cabin Line Camp', 'Bi the Way', 'Johnny Guitar'];
triple_list = [("Sedona" -> "Stay Away, Joe")[relation="featured in films"], ("Sedona" -> "The Karate Kid")[relation="featured in films"], ("Sedona" -> "What Planet Are You From?")[relation="featured in films"], ("Sedona" -> "United States of America")[relation="containedby"], ("Sedona" -> "Bi the Way")[relation="featured in films"], ("Sedona" -> "United States of America")[relation="country"], ("Sedona" -> "Rounders")[relation="featured in films"], ("Sedona" -> "American Anthem")[relation="featured in films"], ("Sedona" -> "Yavapai County")[relation="containedby"], ("Sedona" -> "Harry and Tonto")[relation="featured in films"], ("Sedona" -> "Mountain Time Zone")[relation="time zones"], ("Sedona" -> "Arizona")[relation="state"], ("Sedona" -> "Coconino County")[relation="containedby"], ("Sedona" -> "Arizona")[relation="containedby"], ("Sedona" -> "Johnny Guitar")[relation="featured in films"], ("Sedona" -> "Area code 928")[relation="area code"], ("Sedona" -> "Taylor Cabin Line Camp")[relation="contains"]];
}
``` | {
"node_list": [
"Yavapai County",
"Area code 928",
"The Karate Kid",
"Harry and Tonto",
"American Anthem",
"Arizona",
"Coconino County",
"Stay Away, Joe",
"Sedona",
"Mountain Time Zone",
"Rounders",
"What Planet Are You From?",
"United States of America",
"Taylor Cabin Line Camp",
"Bi the Way",
"Johnny Guitar"
],
"edge_list": [
[
"Sedona",
"featured in films",
"Stay Away, Joe"
],
[
"Sedona",
"featured in films",
"The Karate Kid"
],
[
"Sedona",
"featured in films",
"What Planet Are You From?"
],
[
"Sedona",
"containedby",
"United States of America"
],
[
"Sedona",
"featured in films",
"Bi the Way"
],
[
"Sedona",
"country",
"United States of America"
],
[
"Sedona",
"featured in films",
"Rounders"
],
[
"Sedona",
"featured in films",
"American Anthem"
],
[
"Sedona",
"containedby",
"Yavapai County"
],
[
"Sedona",
"featured in films",
"Harry and Tonto"
],
[
"Sedona",
"time zones",
"Mountain Time Zone"
],
[
"Sedona",
"state",
"Arizona"
],
[
"Sedona",
"containedby",
"Coconino County"
],
[
"Sedona",
"containedby",
"Arizona"
],
[
"Sedona",
"featured in films",
"Johnny Guitar"
],
[
"Sedona",
"area code",
"Area code 928"
],
[
"Sedona",
"contains",
"Taylor Cabin Line Camp"
]
]
} | [
"I cannot answer the question directly. However, based on the world knowledge, the correct answer to the question is \"Cathedral Rock\"",
"I cannot answer the question directly. However, based on the world knowledge, the correct answer to the question is \"Sycamore Canyon\"",
"I cannot answer the question directly. However, based on the world knowledge, the correct answer to the question is \"Oak Creek Canyon\"",
"I cannot answer the question directly. However, based on the world knowledge, the correct answer to the question is \"Slide Rock State Park\"",
"I cannot answer the question directly. However, based on the world knowledge, the correct answer to the question is \"Honanki\"",
"I cannot answer the question directly. However, based on the world knowledge, the correct answer to the question is \"Chapel of the Holy Cross\"",
"I cannot answer the question directly. However, based on the world knowledge, the correct answer to the question is \"Red Rock State Park\"",
"I cannot answer the question directly. However, based on the world knowledge, the correct answer to the question is \"Sedona Airport\"",
"I cannot answer the question directly. However, based on the world knowledge, the correct answer to the question is \"Seven Canyons\"",
"I cannot answer the question directly. However, based on the world knowledge, the correct answer to the question is \"Bell Rock\""
] | [] | medium | WebQuestions |
graph-language-modeling-graph-question-answering-webquestions | 11 | You are a good graph reasoner. Give you a graph language that describes a graph structure and node information. You need to understand the graph and the task definition, and answer the question.
Note: (i <-> j) means that node i and node j are connected with an undirected edge. (i -> j) means that node i and node j are connected with a directed edge.
```
Graph[name="freebase-knowledge-base"] {
entity_list = ['Markovo, Chukotka Autonomous Okrug', 'The Degaev Affair: Terror and Treason in Tsarist Russia', 'Ulyanovsk State Technical University', 'My house', 'Klyuchi', 'Prokhorovka, Belgorod Oblast', 'Poklonnaya Hill', 'Monument to Peter I', 'Millennium of Russia', 'Kirs, Russia', 'Krasny, Krasninsky District, Smolensk Oblast', 'Moscow State Institute of Radio Engineering, Electronics and Automation', 'Samuel Gelfan', 'Belovo', 'Ministry of Labour and Social Affairs', 'Russia', 'Nemo Peak', 'Stavropol Shpakovskoye Airport', 'Paulette Pax', 'Communal House of the Textile Institute', 'Valeria Vorobieva', "Miller's pier", 'Anne X. Alpern', 'Kumertau', 'Harry Steppe', 'Aleksandr Chudakov', 'Snezhinsk'];
triple_list = [("Russia" -> "Stavropol Shpakovskoye Airport")[relation="contains"], ("Russia" -> "Communal House of the Textile Institute")[relation="contains"], ("Russia" -> "Monument to Peter I")[relation="contains"], ("Russia" -> "Belovo")[relation="contains"], ("Russia" -> "Poklonnaya Hill")[relation="contains"], ("Russia" -> "Moscow State Institute of Radio Engineering, Electronics and Automation")[relation="contains"], ("Russia" -> "Samuel Gelfan")[relation="people born here"], ("Russia" -> "Markovo, Chukotka Autonomous Okrug")[relation="contains"], ("Russia" -> "Paulette Pax")[relation="people born here"], ("Russia" -> "Snezhinsk")[relation="contains"], ("Russia" -> "Kumertau")[relation="contains"], ("Russia" -> "Ministry of Labour and Social Affairs")[relation="agencies"], ("Russia" -> "Krasny, Krasninsky District, Smolensk Oblast")[relation="contains"], ("Russia" -> "The Degaev Affair: Terror and Treason in Tsarist Russia")[relation="works"], ("Russia" -> "Kirs, Russia")[relation="contains"], ("Russia" -> "Aleksandr Chudakov")[relation="people born here"], ("Russia" -> "Miller's pier")[relation="contains"], ("Russia" -> "Anne X. Alpern")[relation="people born here"], ("Russia" -> "Millennium of Russia")[relation="contains"], ("Russia" -> "Prokhorovka, Belgorod Oblast")[relation="contains"], ("Russia" -> "Harry Steppe")[relation="people born here"], ("Russia" -> "Klyuchi")[relation="contains"], ("Russia" -> "Ulyanovsk State Technical University")[relation="contains"], ("Russia" -> "Nemo Peak")[relation="contains"], ("Russia" -> "My house")[relation="contains"], ("Russia" -> "Valeria Vorobieva")[relation="people born here"]];
}
```
Task definition: given a question and a corresponding knowledge graph, and find an entity in the graph and answer the question.
Q: what form of government does russia have today ?
A: | ```
Graph[name="freebase-knowledge-base"] {
entity_list = ['Markovo, Chukotka Autonomous Okrug', 'The Degaev Affair: Terror and Treason in Tsarist Russia', 'Ulyanovsk State Technical University', 'My house', 'Klyuchi', 'Prokhorovka, Belgorod Oblast', 'Poklonnaya Hill', 'Monument to Peter I', 'Millennium of Russia', 'Kirs, Russia', 'Krasny, Krasninsky District, Smolensk Oblast', 'Moscow State Institute of Radio Engineering, Electronics and Automation', 'Samuel Gelfan', 'Belovo', 'Ministry of Labour and Social Affairs', 'Russia', 'Nemo Peak', 'Stavropol Shpakovskoye Airport', 'Paulette Pax', 'Communal House of the Textile Institute', 'Valeria Vorobieva', "Miller's pier", 'Anne X. Alpern', 'Kumertau', 'Harry Steppe', 'Aleksandr Chudakov', 'Snezhinsk'];
triple_list = [("Russia" -> "Stavropol Shpakovskoye Airport")[relation="contains"], ("Russia" -> "Communal House of the Textile Institute")[relation="contains"], ("Russia" -> "Monument to Peter I")[relation="contains"], ("Russia" -> "Belovo")[relation="contains"], ("Russia" -> "Poklonnaya Hill")[relation="contains"], ("Russia" -> "Moscow State Institute of Radio Engineering, Electronics and Automation")[relation="contains"], ("Russia" -> "Samuel Gelfan")[relation="people born here"], ("Russia" -> "Markovo, Chukotka Autonomous Okrug")[relation="contains"], ("Russia" -> "Paulette Pax")[relation="people born here"], ("Russia" -> "Snezhinsk")[relation="contains"], ("Russia" -> "Kumertau")[relation="contains"], ("Russia" -> "Ministry of Labour and Social Affairs")[relation="agencies"], ("Russia" -> "Krasny, Krasninsky District, Smolensk Oblast")[relation="contains"], ("Russia" -> "The Degaev Affair: Terror and Treason in Tsarist Russia")[relation="works"], ("Russia" -> "Kirs, Russia")[relation="contains"], ("Russia" -> "Aleksandr Chudakov")[relation="people born here"], ("Russia" -> "Miller's pier")[relation="contains"], ("Russia" -> "Anne X. Alpern")[relation="people born here"], ("Russia" -> "Millennium of Russia")[relation="contains"], ("Russia" -> "Prokhorovka, Belgorod Oblast")[relation="contains"], ("Russia" -> "Harry Steppe")[relation="people born here"], ("Russia" -> "Klyuchi")[relation="contains"], ("Russia" -> "Ulyanovsk State Technical University")[relation="contains"], ("Russia" -> "Nemo Peak")[relation="contains"], ("Russia" -> "My house")[relation="contains"], ("Russia" -> "Valeria Vorobieva")[relation="people born here"]];
}
``` | {
"node_list": [
"Markovo, Chukotka Autonomous Okrug",
"The Degaev Affair: Terror and Treason in Tsarist Russia",
"Ulyanovsk State Technical University",
"My house",
"Klyuchi",
"Prokhorovka, Belgorod Oblast",
"Poklonnaya Hill",
"Monument to Peter I",
"Millennium of Russia",
"Kirs, Russia",
"Krasny, Krasninsky District, Smolensk Oblast",
"Moscow State Institute of Radio Engineering, Electronics and Automation",
"Samuel Gelfan",
"Belovo",
"Ministry of Labour and Social Affairs",
"Russia",
"Nemo Peak",
"Stavropol Shpakovskoye Airport",
"Paulette Pax",
"Communal House of the Textile Institute",
"Valeria Vorobieva",
"Miller's pier",
"Anne X. Alpern",
"Kumertau",
"Harry Steppe",
"Aleksandr Chudakov",
"Snezhinsk"
],
"edge_list": [
[
"Russia",
"contains",
"Stavropol Shpakovskoye Airport"
],
[
"Russia",
"contains",
"Communal House of the Textile Institute"
],
[
"Russia",
"contains",
"Monument to Peter I"
],
[
"Russia",
"contains",
"Belovo"
],
[
"Russia",
"contains",
"Poklonnaya Hill"
],
[
"Russia",
"contains",
"Moscow State Institute of Radio Engineering, Electronics and Automation"
],
[
"Russia",
"people born here",
"Samuel Gelfan"
],
[
"Russia",
"contains",
"Markovo, Chukotka Autonomous Okrug"
],
[
"Russia",
"people born here",
"Paulette Pax"
],
[
"Russia",
"contains",
"Snezhinsk"
],
[
"Russia",
"contains",
"Kumertau"
],
[
"Russia",
"agencies",
"Ministry of Labour and Social Affairs"
],
[
"Russia",
"contains",
"Krasny, Krasninsky District, Smolensk Oblast"
],
[
"Russia",
"works",
"The Degaev Affair: Terror and Treason in Tsarist Russia"
],
[
"Russia",
"contains",
"Kirs, Russia"
],
[
"Russia",
"people born here",
"Aleksandr Chudakov"
],
[
"Russia",
"contains",
"Miller's pier"
],
[
"Russia",
"people born here",
"Anne X. Alpern"
],
[
"Russia",
"contains",
"Millennium of Russia"
],
[
"Russia",
"contains",
"Prokhorovka, Belgorod Oblast"
],
[
"Russia",
"people born here",
"Harry Steppe"
],
[
"Russia",
"contains",
"Klyuchi"
],
[
"Russia",
"contains",
"Ulyanovsk State Technical University"
],
[
"Russia",
"contains",
"Nemo Peak"
],
[
"Russia",
"contains",
"My house"
],
[
"Russia",
"people born here",
"Valeria Vorobieva"
]
]
} | [
"Based on the world knowledge, the correct answer to the question is \"Federal republic\", but the answer is not existing in the graph.",
"Based on the world knowledge, the correct answer to the question is \"Semi-presidential system\", but the answer is not existing in the graph.",
"Based on the world knowledge, the correct answer to the question is \"Constitutional republic\", but the answer is not existing in the graph."
] | [] | medium | WebQuestions |
graph-language-modeling-graph-question-answering-webquestions | 12 | You are a good graph reasoner. Give you a graph language that describes a graph structure and node information. You need to understand the graph and the task definition, and answer the question.
Note: (i <-> j) means that node i and node j are connected with an undirected edge. (i -> j) means that node i and node j are connected with a directed edge.
```
Graph[name="freebase-knowledge-base"] {
entity_list = ['Field of Dreams 2: Lockout', 'Drama', 'Port Coquitlam', 'Cinematography', 'Garrett Grant', 'English Language', 'Eclipse', 'Film Series', 'British Columbia', 'Tracers', 'The Twilight Saga: New Moon', 'Taylor Lautner', 'Story by', 'Bill Condon', 'Abduction', 'Temple Hill Productions', 'Thriller', 'Music by', 'PG-13 (USA)', 'Actor', 'The Twilight Saga: Breaking Dawn - Part 2', 'Twilight', 'Jim Clark', 'United States of America', 'Action/Adventure', 'Gender', 'Cheaper by the Dozen 2', 'Fantasy', 'Action Film', 'Dramas Based on Bestsellers', 'Incarceron', 'Grown Ups 2', 'Martial Artist', "Valentine's Day"];
triple_list = [("The Twilight Saga: New Moon" -> "Dramas Based on Bestsellers")[relation="netflix genres"], ("Field of Dreams 2: Lockout" -> "English Language")[relation="language"], ("Valentine's Day" -> "Jim Clark")[relation="edited by"], ("The Twilight Saga: Breaking Dawn - Part 2" -> "Bill Condon")[relation="directed by"], ("Abduction" -> "United States of America")[relation="country"], ("The Twilight Saga: New Moon" -> "Cinematography")[relation="is reviewed"], ("Taylor Lautner" -> "Martial Artist")[relation="profession"], ("The Twilight Saga: New Moon" -> "Port Coquitlam")[relation="featured film locations"], ("Taylor Lautner" -> "Actor")[relation="profession"], ("The Twilight Saga: Breaking Dawn - Part 2" -> "Fantasy")[relation="genre"], ("Eclipse" -> "British Columbia")[relation="featured film locations"], ("Abduction" -> "Thriller")[relation="netflix genres"], ("Twilight" -> "Film Series")[relation="is reviewed"], ("Valentine's Day" -> "PG-13 (USA)")[relation="rating"], ("Eclipse" -> "Temple Hill Productions")[relation="production companies"], ("Twilight" -> "Twilight")[relation="adapted from"], ("Abduction" -> "Action/Adventure")[relation="netflix genres"], ("Twilight" -> "Drama")[relation="netflix genres"], ("Incarceron" -> "Fantasy")[relation="genre"], ("Cheaper by the Dozen 2" -> "Garrett Grant")[relation="executive produced by"], ("The Twilight Saga: Breaking Dawn - Part 2" -> "United States of America")[relation="country"], ("The Twilight Saga: New Moon" -> "Story by")[relation="is reviewed"], ("Twilight" -> "Music by")[relation="is reviewed"], ("Grown Ups 2" -> "PG-13 (USA)")[relation="rating"], ("Taylor Lautner" -> "Gender")[relation="is reviewed"], ("Tracers" -> "Action Film")[relation="genre"]];
}
```
Task definition: given a question and a corresponding knowledge graph, and find an entity in the graph and answer the question.
Q: what movies does taylor lautner play in ?
A: | ```
Graph[name="freebase-knowledge-base"] {
entity_list = ['Field of Dreams 2: Lockout', 'Drama', 'Port Coquitlam', 'Cinematography', 'Garrett Grant', 'English Language', 'Eclipse', 'Film Series', 'British Columbia', 'Tracers', 'The Twilight Saga: New Moon', 'Taylor Lautner', 'Story by', 'Bill Condon', 'Abduction', 'Temple Hill Productions', 'Thriller', 'Music by', 'PG-13 (USA)', 'Actor', 'The Twilight Saga: Breaking Dawn - Part 2', 'Twilight', 'Jim Clark', 'United States of America', 'Action/Adventure', 'Gender', 'Cheaper by the Dozen 2', 'Fantasy', 'Action Film', 'Dramas Based on Bestsellers', 'Incarceron', 'Grown Ups 2', 'Martial Artist', "Valentine's Day"];
triple_list = [("The Twilight Saga: New Moon" -> "Dramas Based on Bestsellers")[relation="netflix genres"], ("Field of Dreams 2: Lockout" -> "English Language")[relation="language"], ("Valentine's Day" -> "Jim Clark")[relation="edited by"], ("The Twilight Saga: Breaking Dawn - Part 2" -> "Bill Condon")[relation="directed by"], ("Abduction" -> "United States of America")[relation="country"], ("The Twilight Saga: New Moon" -> "Cinematography")[relation="is reviewed"], ("Taylor Lautner" -> "Martial Artist")[relation="profession"], ("The Twilight Saga: New Moon" -> "Port Coquitlam")[relation="featured film locations"], ("Taylor Lautner" -> "Actor")[relation="profession"], ("The Twilight Saga: Breaking Dawn - Part 2" -> "Fantasy")[relation="genre"], ("Eclipse" -> "British Columbia")[relation="featured film locations"], ("Abduction" -> "Thriller")[relation="netflix genres"], ("Twilight" -> "Film Series")[relation="is reviewed"], ("Valentine's Day" -> "PG-13 (USA)")[relation="rating"], ("Eclipse" -> "Temple Hill Productions")[relation="production companies"], ("Twilight" -> "Twilight")[relation="adapted from"], ("Abduction" -> "Action/Adventure")[relation="netflix genres"], ("Twilight" -> "Drama")[relation="netflix genres"], ("Incarceron" -> "Fantasy")[relation="genre"], ("Cheaper by the Dozen 2" -> "Garrett Grant")[relation="executive produced by"], ("The Twilight Saga: Breaking Dawn - Part 2" -> "United States of America")[relation="country"], ("The Twilight Saga: New Moon" -> "Story by")[relation="is reviewed"], ("Twilight" -> "Music by")[relation="is reviewed"], ("Grown Ups 2" -> "PG-13 (USA)")[relation="rating"], ("Taylor Lautner" -> "Gender")[relation="is reviewed"], ("Tracers" -> "Action Film")[relation="genre"]];
}
``` | {
"node_list": [
"Field of Dreams 2: Lockout",
"Drama",
"Port Coquitlam",
"Cinematography",
"Garrett Grant",
"English Language",
"Eclipse",
"Film Series",
"British Columbia",
"Tracers",
"The Twilight Saga: New Moon",
"Taylor Lautner",
"Story by",
"Bill Condon",
"Abduction",
"Temple Hill Productions",
"Thriller",
"Music by",
"PG-13 (USA)",
"Actor",
"The Twilight Saga: Breaking Dawn - Part 2",
"Twilight",
"Jim Clark",
"United States of America",
"Action/Adventure",
"Gender",
"Cheaper by the Dozen 2",
"Fantasy",
"Action Film",
"Dramas Based on Bestsellers",
"Incarceron",
"Grown Ups 2",
"Martial Artist",
"Valentine's Day"
],
"edge_list": [
[
"The Twilight Saga: New Moon",
"netflix genres",
"Dramas Based on Bestsellers"
],
[
"Field of Dreams 2: Lockout",
"language",
"English Language"
],
[
"Valentine's Day",
"edited by",
"Jim Clark"
],
[
"The Twilight Saga: Breaking Dawn - Part 2",
"directed by",
"Bill Condon"
],
[
"Abduction",
"country",
"United States of America"
],
[
"The Twilight Saga: New Moon",
"is reviewed",
"Cinematography"
],
[
"Taylor Lautner",
"profession",
"Martial Artist"
],
[
"The Twilight Saga: New Moon",
"featured film locations",
"Port Coquitlam"
],
[
"Taylor Lautner",
"profession",
"Actor"
],
[
"The Twilight Saga: Breaking Dawn - Part 2",
"genre",
"Fantasy"
],
[
"Eclipse",
"featured film locations",
"British Columbia"
],
[
"Abduction",
"netflix genres",
"Thriller"
],
[
"Twilight",
"is reviewed",
"Film Series"
],
[
"Valentine's Day",
"rating",
"PG-13 (USA)"
],
[
"Eclipse",
"production companies",
"Temple Hill Productions"
],
[
"Twilight",
"adapted from",
"Twilight"
],
[
"Abduction",
"netflix genres",
"Action/Adventure"
],
[
"Twilight",
"netflix genres",
"Drama"
],
[
"Incarceron",
"genre",
"Fantasy"
],
[
"Cheaper by the Dozen 2",
"executive produced by",
"Garrett Grant"
],
[
"The Twilight Saga: Breaking Dawn - Part 2",
"country",
"United States of America"
],
[
"The Twilight Saga: New Moon",
"is reviewed",
"Story by"
],
[
"Twilight",
"is reviewed",
"Music by"
],
[
"Grown Ups 2",
"rating",
"PG-13 (USA)"
],
[
"Taylor Lautner",
"is reviewed",
"Gender"
],
[
"Tracers",
"genre",
"Action Film"
]
]
} | [
"Based on the graph, we can find a reasoning path ('The Twilight Saga: Breaking Dawn - Part 1', 'sequel', 'The Twilight Saga: Breaking Dawn - Part 2'), so the answer entity is \"Valentine's Day\"",
"Based on the graph, we can find a reasoning path ('The Twilight Saga: Breaking Dawn - Part 1', 'sequel', 'The Twilight Saga: Breaking Dawn - Part 2'), so the answer entity is \"Shadow Fury\"",
"Based on the graph, we can find a reasoning path ('The Twilight Saga: Breaking Dawn - Part 1', 'sequel', 'The Twilight Saga: Breaking Dawn - Part 2'), so the answer entity is \"Cheaper by the Dozen 2\"",
"Based on the graph, we can find a reasoning path ('The Twilight Saga: Breaking Dawn - Part 1', 'sequel', 'The Twilight Saga: Breaking Dawn - Part 2'), so the answer entity is \"Field of Dreams 2: Lockout\"",
"Based on the graph, we can find a reasoning path ('The Twilight Saga: Breaking Dawn - Part 1', 'sequel', 'The Twilight Saga: Breaking Dawn - Part 2'), so the answer entity is \"Tracers\"",
"Based on the graph, we can find a reasoning path ('The Twilight Saga: Breaking Dawn - Part 1', 'sequel', 'The Twilight Saga: Breaking Dawn - Part 2'), so the answer entity is \"He's a Bully, Charlie Brown\"",
"Based on the graph, we can find a reasoning path ('The Twilight Saga: Breaking Dawn - Part 1', 'sequel', 'The Twilight Saga: Breaking Dawn - Part 2'), so the answer entity is \"The Twilight Saga: Breaking Dawn - Part 2\"",
"Based on the graph, we can find a reasoning path ('The Twilight Saga: Breaking Dawn - Part 1', 'sequel', 'The Twilight Saga: Breaking Dawn - Part 2'), so the answer entity is \"Eclipse\"",
"Based on the graph, we can find a reasoning path ('The Twilight Saga: Breaking Dawn - Part 1', 'sequel', 'The Twilight Saga: Breaking Dawn - Part 2'), so the answer entity is \"The Adventures of Sharkboy and Lavagirl\"",
"Based on the graph, we can find a reasoning path ('The Twilight Saga: Breaking Dawn - Part 1', 'sequel', 'The Twilight Saga: Breaking Dawn - Part 2'), so the answer entity is \"Incarceron\"",
"Based on the graph, we can find a reasoning path ('The Twilight Saga: Breaking Dawn - Part 1', 'sequel', 'The Twilight Saga: Breaking Dawn - Part 2'), so the answer entity is \"The Twilight Saga: Breaking Dawn - Part 1\"",
"Based on the graph, we can find a reasoning path ('The Twilight Saga: Breaking Dawn - Part 1', 'sequel', 'The Twilight Saga: Breaking Dawn - Part 2'), so the answer entity is \"Northern Lights\"",
"Based on the graph, we can find a reasoning path ('The Twilight Saga: Breaking Dawn - Part 1', 'sequel', 'The Twilight Saga: Breaking Dawn - Part 2'), so the answer entity is \"Grown Ups 2\"",
"Based on the graph, we can find a reasoning path ('The Twilight Saga: Breaking Dawn - Part 1', 'sequel', 'The Twilight Saga: Breaking Dawn - Part 2'), so the answer entity is \"Abduction\"",
"Based on the graph, we can find a reasoning path ('The Twilight Saga: Breaking Dawn - Part 1', 'sequel', 'The Twilight Saga: Breaking Dawn - Part 2'), so the answer entity is \"New Moon\"",
"Based on the graph, we can find a reasoning path ('The Twilight Saga: Breaking Dawn - Part 1', 'sequel', 'The Twilight Saga: Breaking Dawn - Part 2'), so the answer entity is \"Twilight\"",
"Based on the graph, we can find a reasoning path ('The Twilight Saga: Breaking Dawn - Part 1', 'sequel', 'The Twilight Saga: Breaking Dawn - Part 2'), so the answer entity is \"The Nick and Jessica Variety Hour\""
] | [] | medium | WebQuestions |
graph-language-modeling-graph-question-answering-webquestions | 13 | You are a good graph reasoner. Give you a graph language that describes a graph structure and node information. You need to understand the graph and the task definition, and answer the question.
Note: (i <-> j) means that node i and node j are connected with an undirected edge. (i -> j) means that node i and node j are connected with a directed edge.
```
Graph[name="freebase-knowledge-base"] {
entity_list = ['National Basketball Association Awards', 'head shot of Kareem Abdul Jabbar', 'Male', 'Small forward', 'Intro', 'Weight', 'Basketball player', 'Wilt Chamberlain2', 'National Basketball Association', 'Place of birth', 'Power forward', 'Outro', 'Shooting Stars', 'NBA Rookie of the Year Award', 'Bryce Maximus James', 'Screenwriter', 'LeBron James/Kanye West', '2003–04 NBA season', 'lebron-james.jpg', 'LeBron James', 'Television producer', 'Country of nationality', 'Children', 'Athlete', 'Official name', 'Siblings', 'Voice Actor'];
triple_list = [("LeBron James" -> "Television producer")[relation="profession"], ("LeBron James" -> "Athlete")[relation="profession"], ("LeBron James" -> "Male")[relation="gender"], ("LeBron James" -> "Place of birth")[relation="is reviewed"], ("LeBron James" -> "Children")[relation="is reviewed"], ("LeBron James" -> "LeBron James")[relation="image"], ("LeBron James" -> "Siblings")[relation="has no value"], ("LeBron James" -> "LeBron James")[relation="works"], ("LeBron James" -> "Voice Actor")[relation="profession"], ("NBA Rookie of the Year Award" -> "head shot of Kareem Abdul Jabbar")[relation="image"], ("LeBron James" -> "Small forward")[relation="position s"], ("LeBron James" -> "Screenwriter")[relation="profession"], ("LeBron James" -> "Bryce Maximus James")[relation="children"], ("NBA Rookie of the Year Award" -> "National Basketball Association Awards")[relation="category of"], ("LeBron James" -> "Power forward")[relation="position s"], ("LeBron James" -> "LeBron James/Kanye West")[relation="episodes hosted"], ("LeBron James" -> "Weight")[relation="is reviewed"], ("LeBron James" -> "Shooting Stars")[relation="works written"], ("LeBron James" -> "Intro")[relation="track"], ("LeBron James" -> "Official name")[relation="is reviewed"], ("2003–04 NBA season" -> "National Basketball Association")[relation="league"], ("LeBron James" -> "Country of nationality")[relation="is reviewed"], ("LeBron James" -> "Basketball player")[relation="profession"], ("LeBron James" -> "lebron-james.jpg")[relation="image"], ("NBA Rookie of the Year Award" -> "Wilt Chamberlain2")[relation="image"], ("LeBron James" -> "Outro")[relation="track"]];
}
```
Task definition: given a question and a corresponding knowledge graph, and find an entity in the graph and answer the question.
Q: what year lebron james came to the nba ?
A: | ```
Graph[name="freebase-knowledge-base"] {
entity_list = ['National Basketball Association Awards', 'head shot of Kareem Abdul Jabbar', 'Male', 'Small forward', 'Intro', 'Weight', 'Basketball player', 'Wilt Chamberlain2', 'National Basketball Association', 'Place of birth', 'Power forward', 'Outro', 'Shooting Stars', 'NBA Rookie of the Year Award', 'Bryce Maximus James', 'Screenwriter', 'LeBron James/Kanye West', '2003–04 NBA season', 'lebron-james.jpg', 'LeBron James', 'Television producer', 'Country of nationality', 'Children', 'Athlete', 'Official name', 'Siblings', 'Voice Actor'];
triple_list = [("LeBron James" -> "Television producer")[relation="profession"], ("LeBron James" -> "Athlete")[relation="profession"], ("LeBron James" -> "Male")[relation="gender"], ("LeBron James" -> "Place of birth")[relation="is reviewed"], ("LeBron James" -> "Children")[relation="is reviewed"], ("LeBron James" -> "LeBron James")[relation="image"], ("LeBron James" -> "Siblings")[relation="has no value"], ("LeBron James" -> "LeBron James")[relation="works"], ("LeBron James" -> "Voice Actor")[relation="profession"], ("NBA Rookie of the Year Award" -> "head shot of Kareem Abdul Jabbar")[relation="image"], ("LeBron James" -> "Small forward")[relation="position s"], ("LeBron James" -> "Screenwriter")[relation="profession"], ("LeBron James" -> "Bryce Maximus James")[relation="children"], ("NBA Rookie of the Year Award" -> "National Basketball Association Awards")[relation="category of"], ("LeBron James" -> "Power forward")[relation="position s"], ("LeBron James" -> "LeBron James/Kanye West")[relation="episodes hosted"], ("LeBron James" -> "Weight")[relation="is reviewed"], ("LeBron James" -> "Shooting Stars")[relation="works written"], ("LeBron James" -> "Intro")[relation="track"], ("LeBron James" -> "Official name")[relation="is reviewed"], ("2003–04 NBA season" -> "National Basketball Association")[relation="league"], ("LeBron James" -> "Country of nationality")[relation="is reviewed"], ("LeBron James" -> "Basketball player")[relation="profession"], ("LeBron James" -> "lebron-james.jpg")[relation="image"], ("NBA Rookie of the Year Award" -> "Wilt Chamberlain2")[relation="image"], ("LeBron James" -> "Outro")[relation="track"]];
}
``` | {
"node_list": [
"National Basketball Association Awards",
"head shot of Kareem Abdul Jabbar",
"Male",
"Small forward",
"Intro",
"Weight",
"Basketball player",
"Wilt Chamberlain2",
"National Basketball Association",
"Place of birth",
"Power forward",
"Outro",
"Shooting Stars",
"NBA Rookie of the Year Award",
"Bryce Maximus James",
"Screenwriter",
"LeBron James/Kanye West",
"2003–04 NBA season",
"lebron-james.jpg",
"LeBron James",
"Television producer",
"Country of nationality",
"Children",
"Athlete",
"Official name",
"Siblings",
"Voice Actor"
],
"edge_list": [
[
"LeBron James",
"profession",
"Television producer"
],
[
"LeBron James",
"profession",
"Athlete"
],
[
"LeBron James",
"gender",
"Male"
],
[
"LeBron James",
"is reviewed",
"Place of birth"
],
[
"LeBron James",
"is reviewed",
"Children"
],
[
"LeBron James",
"image",
"LeBron James"
],
[
"LeBron James",
"has no value",
"Siblings"
],
[
"LeBron James",
"works",
"LeBron James"
],
[
"LeBron James",
"profession",
"Voice Actor"
],
[
"NBA Rookie of the Year Award",
"image",
"head shot of Kareem Abdul Jabbar"
],
[
"LeBron James",
"position s",
"Small forward"
],
[
"LeBron James",
"profession",
"Screenwriter"
],
[
"LeBron James",
"children",
"Bryce Maximus James"
],
[
"NBA Rookie of the Year Award",
"category of",
"National Basketball Association Awards"
],
[
"LeBron James",
"position s",
"Power forward"
],
[
"LeBron James",
"episodes hosted",
"LeBron James/Kanye West"
],
[
"LeBron James",
"is reviewed",
"Weight"
],
[
"LeBron James",
"works written",
"Shooting Stars"
],
[
"LeBron James",
"track",
"Intro"
],
[
"LeBron James",
"is reviewed",
"Official name"
],
[
"2003–04 NBA season",
"league",
"National Basketball Association"
],
[
"LeBron James",
"is reviewed",
"Country of nationality"
],
[
"LeBron James",
"profession",
"Basketball player"
],
[
"LeBron James",
"image",
"lebron-james.jpg"
],
[
"NBA Rookie of the Year Award",
"image",
"Wilt Chamberlain2"
],
[
"LeBron James",
"track",
"Outro"
]
]
} | [
"I cannot answer the question directly. However, based on the world knowledge, the correct answer to the question is \"2003–04 NBA season\""
] | [] | medium | WebQuestions |
graph-language-modeling-graph-question-answering-webquestions | 15 | You are a good graph reasoner. Give you a graph language that describes a graph structure and node information. You need to understand the graph and the task definition, and answer the question.
Note: (i <-> j) means that node i and node j are connected with an undirected edge. (i -> j) means that node i and node j are connected with a directed edge.
```
Graph[name="freebase-knowledge-base"] {
entity_list = ['Professor Inga Bergstrom', 'Fio Piccolo', 'Dasani', 'Judy Witwicky', 'Sawako Kuronuma', 'Melinda Halliwell', 'Female', 'Selina Branning', 'Tuija Haavisto', 'Lindesfarne Dewclaw', 'Emma Wheeler', 'Callie Jacob', 'Julietta Sommer', 'TV Stewardess', 'Luca', 'Solusandra', 'Receptionist', 'Sonya', 'Dana tan', 'Penny Chenery', 'Brooke Soso', 'Joy Peters', 'Danielle Jones', 'Cherryl Brooks', 'Zara Amaro', 'Katy Hart', 'Allison Sugarbaker'];
triple_list = [("Female" -> "Emma Wheeler")[relation="characters of this gender"], ("Female" -> "Melinda Halliwell")[relation="characters of this gender"], ("Female" -> "Allison Sugarbaker")[relation="characters of this gender"], ("Female" -> "Tuija Haavisto")[relation="characters of this gender"], ("Female" -> "Katy Hart")[relation="characters of this gender"], ("Female" -> "Julietta Sommer")[relation="characters of this gender"], ("Female" -> "Professor Inga Bergstrom")[relation="characters of this gender"], ("Female" -> "Joy Peters")[relation="characters of this gender"], ("Female" -> "Dana tan")[relation="characters of this gender"], ("Female" -> "Luca")[relation="characters of this gender"], ("Female" -> "Selina Branning")[relation="characters of this gender"], ("Female" -> "Danielle Jones")[relation="characters of this gender"], ("Female" -> "Zara Amaro")[relation="characters of this gender"], ("Female" -> "Receptionist")[relation="characters of this gender"], ("Female" -> "TV Stewardess")[relation="characters of this gender"], ("Female" -> "Fio Piccolo")[relation="characters of this gender"], ("Female" -> "Sonya")[relation="characters of this gender"], ("Female" -> "Penny Chenery")[relation="characters of this gender"], ("Female" -> "Sawako Kuronuma")[relation="characters of this gender"], ("Female" -> "Callie Jacob")[relation="characters of this gender"], ("Female" -> "Judy Witwicky")[relation="characters of this gender"], ("Female" -> "Brooke Soso")[relation="characters of this gender"], ("Female" -> "Solusandra")[relation="characters of this gender"], ("Female" -> "Cherryl Brooks")[relation="characters of this gender"], ("Female" -> "Dasani")[relation="characters of this gender"], ("Female" -> "Lindesfarne Dewclaw")[relation="characters of this gender"]];
}
```
Task definition: given a question and a corresponding knowledge graph, and find an entity in the graph and answer the question.
Q: who was ishmael 's mom ?
A: | ```
Graph[name="freebase-knowledge-base"] {
entity_list = ['Professor Inga Bergstrom', 'Fio Piccolo', 'Dasani', 'Judy Witwicky', 'Sawako Kuronuma', 'Melinda Halliwell', 'Female', 'Selina Branning', 'Tuija Haavisto', 'Lindesfarne Dewclaw', 'Emma Wheeler', 'Callie Jacob', 'Julietta Sommer', 'TV Stewardess', 'Luca', 'Solusandra', 'Receptionist', 'Sonya', 'Dana tan', 'Penny Chenery', 'Brooke Soso', 'Joy Peters', 'Danielle Jones', 'Cherryl Brooks', 'Zara Amaro', 'Katy Hart', 'Allison Sugarbaker'];
triple_list = [("Female" -> "Emma Wheeler")[relation="characters of this gender"], ("Female" -> "Melinda Halliwell")[relation="characters of this gender"], ("Female" -> "Allison Sugarbaker")[relation="characters of this gender"], ("Female" -> "Tuija Haavisto")[relation="characters of this gender"], ("Female" -> "Katy Hart")[relation="characters of this gender"], ("Female" -> "Julietta Sommer")[relation="characters of this gender"], ("Female" -> "Professor Inga Bergstrom")[relation="characters of this gender"], ("Female" -> "Joy Peters")[relation="characters of this gender"], ("Female" -> "Dana tan")[relation="characters of this gender"], ("Female" -> "Luca")[relation="characters of this gender"], ("Female" -> "Selina Branning")[relation="characters of this gender"], ("Female" -> "Danielle Jones")[relation="characters of this gender"], ("Female" -> "Zara Amaro")[relation="characters of this gender"], ("Female" -> "Receptionist")[relation="characters of this gender"], ("Female" -> "TV Stewardess")[relation="characters of this gender"], ("Female" -> "Fio Piccolo")[relation="characters of this gender"], ("Female" -> "Sonya")[relation="characters of this gender"], ("Female" -> "Penny Chenery")[relation="characters of this gender"], ("Female" -> "Sawako Kuronuma")[relation="characters of this gender"], ("Female" -> "Callie Jacob")[relation="characters of this gender"], ("Female" -> "Judy Witwicky")[relation="characters of this gender"], ("Female" -> "Brooke Soso")[relation="characters of this gender"], ("Female" -> "Solusandra")[relation="characters of this gender"], ("Female" -> "Cherryl Brooks")[relation="characters of this gender"], ("Female" -> "Dasani")[relation="characters of this gender"], ("Female" -> "Lindesfarne Dewclaw")[relation="characters of this gender"]];
}
``` | {
"node_list": [
"Professor Inga Bergstrom",
"Fio Piccolo",
"Dasani",
"Judy Witwicky",
"Sawako Kuronuma",
"Melinda Halliwell",
"Female",
"Selina Branning",
"Tuija Haavisto",
"Lindesfarne Dewclaw",
"Emma Wheeler",
"Callie Jacob",
"Julietta Sommer",
"TV Stewardess",
"Luca",
"Solusandra",
"Receptionist",
"Sonya",
"Dana tan",
"Penny Chenery",
"Brooke Soso",
"Joy Peters",
"Danielle Jones",
"Cherryl Brooks",
"Zara Amaro",
"Katy Hart",
"Allison Sugarbaker"
],
"edge_list": [
[
"Female",
"characters of this gender",
"Emma Wheeler"
],
[
"Female",
"characters of this gender",
"Melinda Halliwell"
],
[
"Female",
"characters of this gender",
"Allison Sugarbaker"
],
[
"Female",
"characters of this gender",
"Tuija Haavisto"
],
[
"Female",
"characters of this gender",
"Katy Hart"
],
[
"Female",
"characters of this gender",
"Julietta Sommer"
],
[
"Female",
"characters of this gender",
"Professor Inga Bergstrom"
],
[
"Female",
"characters of this gender",
"Joy Peters"
],
[
"Female",
"characters of this gender",
"Dana tan"
],
[
"Female",
"characters of this gender",
"Luca"
],
[
"Female",
"characters of this gender",
"Selina Branning"
],
[
"Female",
"characters of this gender",
"Danielle Jones"
],
[
"Female",
"characters of this gender",
"Zara Amaro"
],
[
"Female",
"characters of this gender",
"Receptionist"
],
[
"Female",
"characters of this gender",
"TV Stewardess"
],
[
"Female",
"characters of this gender",
"Fio Piccolo"
],
[
"Female",
"characters of this gender",
"Sonya"
],
[
"Female",
"characters of this gender",
"Penny Chenery"
],
[
"Female",
"characters of this gender",
"Sawako Kuronuma"
],
[
"Female",
"characters of this gender",
"Callie Jacob"
],
[
"Female",
"characters of this gender",
"Judy Witwicky"
],
[
"Female",
"characters of this gender",
"Brooke Soso"
],
[
"Female",
"characters of this gender",
"Solusandra"
],
[
"Female",
"characters of this gender",
"Cherryl Brooks"
],
[
"Female",
"characters of this gender",
"Dasani"
],
[
"Female",
"characters of this gender",
"Lindesfarne Dewclaw"
]
]
} | [
"Based on the world knowledge, the correct answer to the question is \"Hagar\", but the answer is not existing in the graph."
] | [] | medium | WebQuestions |
graph-language-modeling-graph-question-answering-webquestions | 16 | You are a good graph reasoner. Give you a graph language that describes a graph structure and node information. You need to understand the graph and the task definition, and answer the question.
Note: (i <-> j) means that node i and node j are connected with an undirected edge. (i -> j) means that node i and node j are connected with a directed edge.
```
Graph[name="freebase-knowledge-base"] {
entity_list = ['Bernard Lafayette', 'Assassination', 'Elisabeth Omilami', 'New York City', 'No Sell Out (vocal)', 'Bobby Seale', 'Rosa Parks', 'Abbie Hoffman', 'Alfred Daniel Williams King', 'Earl Little', "African Americans' rights", 'Frederick Vanderbilt Field', 'Charlton Heston', 'Alveda King', 'Date of birth', 'Malcolm X', 'Black Liberation', 'The Autobiography of Malcolm X', 'Writer', 'Country of nationality', 'George Jackson', 'Children', 'James Baldwin', 'Islam', 'Lena Horne', 'Elijah Muhammad', 'Mumia Abu-Jamal'];
triple_list = [("African Americans' rights" -> "Elisabeth Omilami")[relation="activists"], ("African Americans' rights" -> "Abbie Hoffman")[relation="activists"], ("Malcolm X" -> "Islam")[relation="religion"], ("African Americans' rights" -> "Frederick Vanderbilt Field")[relation="activists"], ("Malcolm X" -> "James Baldwin")[relation="influenced"], ("Black Liberation" -> "Malcolm X")[relation="activists"], ("African Americans' rights" -> "Rosa Parks")[relation="activists"], ("Malcolm X" -> "Date of birth")[relation="is reviewed"], ("Malcolm X" -> "Writer")[relation="profession"], ("Malcolm X" -> "Earl Little")[relation="parents"], ("Black Liberation" -> "Mumia Abu-Jamal")[relation="activists"], ("Black Liberation" -> "Bobby Seale")[relation="activists"], ("African Americans' rights" -> "Bernard Lafayette")[relation="activists"], ("African Americans' rights" -> "Charlton Heston")[relation="activists"], ("Malcolm X" -> "Assassination")[relation="crime type"], ("Malcolm X" -> "The Autobiography of Malcolm X")[relation="works written"], ("Malcolm X" -> "African Americans' rights")[relation="area of activism"], ("African Americans' rights" -> "Alfred Daniel Williams King")[relation="activists"], ("African Americans' rights" -> "Alveda King")[relation="activists"], ("African Americans' rights" -> "George Jackson")[relation="activists"], ("Malcolm X" -> "Children")[relation="is reviewed"], ("Malcolm X" -> "Country of nationality")[relation="is reviewed"], ("Malcolm X" -> "Elijah Muhammad")[relation="influenced by"], ("Malcolm X" -> "New York City")[relation="place of death"], ("Malcolm X" -> "No Sell Out (vocal)")[relation="track"], ("African Americans' rights" -> "Lena Horne")[relation="activists"]];
}
```
Task definition: given a question and a corresponding knowledge graph, and find an entity in the graph and answer the question.
Q: what was malcolm x trying to accomplish ?
A: | ```
Graph[name="freebase-knowledge-base"] {
entity_list = ['Bernard Lafayette', 'Assassination', 'Elisabeth Omilami', 'New York City', 'No Sell Out (vocal)', 'Bobby Seale', 'Rosa Parks', 'Abbie Hoffman', 'Alfred Daniel Williams King', 'Earl Little', "African Americans' rights", 'Frederick Vanderbilt Field', 'Charlton Heston', 'Alveda King', 'Date of birth', 'Malcolm X', 'Black Liberation', 'The Autobiography of Malcolm X', 'Writer', 'Country of nationality', 'George Jackson', 'Children', 'James Baldwin', 'Islam', 'Lena Horne', 'Elijah Muhammad', 'Mumia Abu-Jamal'];
triple_list = [("African Americans' rights" -> "Elisabeth Omilami")[relation="activists"], ("African Americans' rights" -> "Abbie Hoffman")[relation="activists"], ("Malcolm X" -> "Islam")[relation="religion"], ("African Americans' rights" -> "Frederick Vanderbilt Field")[relation="activists"], ("Malcolm X" -> "James Baldwin")[relation="influenced"], ("Black Liberation" -> "Malcolm X")[relation="activists"], ("African Americans' rights" -> "Rosa Parks")[relation="activists"], ("Malcolm X" -> "Date of birth")[relation="is reviewed"], ("Malcolm X" -> "Writer")[relation="profession"], ("Malcolm X" -> "Earl Little")[relation="parents"], ("Black Liberation" -> "Mumia Abu-Jamal")[relation="activists"], ("Black Liberation" -> "Bobby Seale")[relation="activists"], ("African Americans' rights" -> "Bernard Lafayette")[relation="activists"], ("African Americans' rights" -> "Charlton Heston")[relation="activists"], ("Malcolm X" -> "Assassination")[relation="crime type"], ("Malcolm X" -> "The Autobiography of Malcolm X")[relation="works written"], ("Malcolm X" -> "African Americans' rights")[relation="area of activism"], ("African Americans' rights" -> "Alfred Daniel Williams King")[relation="activists"], ("African Americans' rights" -> "Alveda King")[relation="activists"], ("African Americans' rights" -> "George Jackson")[relation="activists"], ("Malcolm X" -> "Children")[relation="is reviewed"], ("Malcolm X" -> "Country of nationality")[relation="is reviewed"], ("Malcolm X" -> "Elijah Muhammad")[relation="influenced by"], ("Malcolm X" -> "New York City")[relation="place of death"], ("Malcolm X" -> "No Sell Out (vocal)")[relation="track"], ("African Americans' rights" -> "Lena Horne")[relation="activists"]];
}
``` | {
"node_list": [
"Bernard Lafayette",
"Assassination",
"Elisabeth Omilami",
"New York City",
"No Sell Out (vocal)",
"Bobby Seale",
"Rosa Parks",
"Abbie Hoffman",
"Alfred Daniel Williams King",
"Earl Little",
"African Americans' rights",
"Frederick Vanderbilt Field",
"Charlton Heston",
"Alveda King",
"Date of birth",
"Malcolm X",
"Black Liberation",
"The Autobiography of Malcolm X",
"Writer",
"Country of nationality",
"George Jackson",
"Children",
"James Baldwin",
"Islam",
"Lena Horne",
"Elijah Muhammad",
"Mumia Abu-Jamal"
],
"edge_list": [
[
"African Americans' rights",
"activists",
"Elisabeth Omilami"
],
[
"African Americans' rights",
"activists",
"Abbie Hoffman"
],
[
"Malcolm X",
"religion",
"Islam"
],
[
"African Americans' rights",
"activists",
"Frederick Vanderbilt Field"
],
[
"Malcolm X",
"influenced",
"James Baldwin"
],
[
"Black Liberation",
"activists",
"Malcolm X"
],
[
"African Americans' rights",
"activists",
"Rosa Parks"
],
[
"Malcolm X",
"is reviewed",
"Date of birth"
],
[
"Malcolm X",
"profession",
"Writer"
],
[
"Malcolm X",
"parents",
"Earl Little"
],
[
"Black Liberation",
"activists",
"Mumia Abu-Jamal"
],
[
"Black Liberation",
"activists",
"Bobby Seale"
],
[
"African Americans' rights",
"activists",
"Bernard Lafayette"
],
[
"African Americans' rights",
"activists",
"Charlton Heston"
],
[
"Malcolm X",
"crime type",
"Assassination"
],
[
"Malcolm X",
"works written",
"The Autobiography of Malcolm X"
],
[
"Malcolm X",
"area of activism",
"African Americans' rights"
],
[
"African Americans' rights",
"activists",
"Alfred Daniel Williams King"
],
[
"African Americans' rights",
"activists",
"Alveda King"
],
[
"African Americans' rights",
"activists",
"George Jackson"
],
[
"Malcolm X",
"is reviewed",
"Children"
],
[
"Malcolm X",
"is reviewed",
"Country of nationality"
],
[
"Malcolm X",
"influenced by",
"Elijah Muhammad"
],
[
"Malcolm X",
"place of death",
"New York City"
],
[
"Malcolm X",
"track",
"No Sell Out (vocal)"
],
[
"African Americans' rights",
"activists",
"Lena Horne"
]
]
} | [
"Based on the graph, we can find a reasoning path ('Malcolm X', 'area of activism', 'Black Liberation'), so the answer entity is \"Black Liberation\"",
"Based on the graph, we can find a reasoning path ('Malcolm X', 'area of activism', 'Black Liberation'), so the answer entity is \"African Americans' rights\""
] | [] | medium | WebQuestions |
graph-language-modeling-graph-question-answering-webquestions | 17 | You are a good graph reasoner. Give you a graph language that describes a graph structure and node information. You need to understand the graph and the task definition, and answer the question.
Note: (i <-> j) means that node i and node j are connected with an undirected edge. (i -> j) means that node i and node j are connected with a directed edge.
```
Graph[name="freebase-knowledge-base"] {
entity_list = ['Milton Brandão', 'Entre Folhas', 'Brejetuba', 'Viseu, Pará', 'Feliz Deserto', 'Teófilo Otoni', 'Boa Esperança do Iguaçu', 'Araújos', 'Cerro Corá', 'Maria Lacerda de Moura', 'President', 'Santa Cruz do Escalvado', 'Cantá', 'Brazil', 'Inimutaba', 'Vila Bela da Santíssima Trindade', 'Aragominas', 'Aracruz', 'São Carlos', 'Barcelos', 'Davinópolis, Maranhão', 'Taiobeiras', 'Pedro Américo', 'São Bento do Tocantins', 'Flávio Sérgio Viana', 'Camocim de São Félix', 'Pelotas', 'MA$TADON'];
triple_list = [("Brazil" -> "Pedro Américo")[relation="people born here"], ("Brazil" -> "Araújos")[relation="second level divisions"], ("Brazil" -> "Barcelos")[relation="contains"], ("Brazil" -> "Camocim de São Félix")[relation="contains"], ("Brazil" -> "Santa Cruz do Escalvado")[relation="contains"], ("Brazil" -> "Brejetuba")[relation="contains"], ("Brazil" -> "Aracruz")[relation="contains"], ("Brazil" -> "São Bento do Tocantins")[relation="second level divisions"], ("Brazil" -> "Davinópolis, Maranhão")[relation="second level divisions"], ("Brazil" -> "Viseu, Pará")[relation="second level divisions"], ("Brazil" -> "Boa Esperança do Iguaçu")[relation="second level divisions"], ("Brazil" -> "Feliz Deserto")[relation="contains"], ("Brazil" -> "Taiobeiras")[relation="second level divisions"], ("Brazil" -> "São Carlos")[relation="second level divisions"], ("Brazil" -> "Flávio Sérgio Viana")[relation="people born here"], ("Brazil" -> "Entre Folhas")[relation="second level divisions"], ("Brazil" -> "Vila Bela da Santíssima Trindade")[relation="second level divisions"], ("Brazil" -> "Pelotas")[relation="second level divisions"], ("Brazil" -> "Maria Lacerda de Moura")[relation="people born here"], ("Brazil" -> "Teófilo Otoni")[relation="contains"], ("Brazil" -> "Cerro Corá")[relation="contains"], ("Brazil" -> "Cantá")[relation="contains"], ("Brazil" -> "Inimutaba")[relation="contains"], ("President" -> "MA$TADON")[relation="subjects"], ("Brazil" -> "Aragominas")[relation="contains"], ("Brazil" -> "Milton Brandão")[relation="second level divisions"]];
}
```
Task definition: given a question and a corresponding knowledge graph, and find an entity in the graph and answer the question.
Q: what is the president of brazil ?
A: | ```
Graph[name="freebase-knowledge-base"] {
entity_list = ['Milton Brandão', 'Entre Folhas', 'Brejetuba', 'Viseu, Pará', 'Feliz Deserto', 'Teófilo Otoni', 'Boa Esperança do Iguaçu', 'Araújos', 'Cerro Corá', 'Maria Lacerda de Moura', 'President', 'Santa Cruz do Escalvado', 'Cantá', 'Brazil', 'Inimutaba', 'Vila Bela da Santíssima Trindade', 'Aragominas', 'Aracruz', 'São Carlos', 'Barcelos', 'Davinópolis, Maranhão', 'Taiobeiras', 'Pedro Américo', 'São Bento do Tocantins', 'Flávio Sérgio Viana', 'Camocim de São Félix', 'Pelotas', 'MA$TADON'];
triple_list = [("Brazil" -> "Pedro Américo")[relation="people born here"], ("Brazil" -> "Araújos")[relation="second level divisions"], ("Brazil" -> "Barcelos")[relation="contains"], ("Brazil" -> "Camocim de São Félix")[relation="contains"], ("Brazil" -> "Santa Cruz do Escalvado")[relation="contains"], ("Brazil" -> "Brejetuba")[relation="contains"], ("Brazil" -> "Aracruz")[relation="contains"], ("Brazil" -> "São Bento do Tocantins")[relation="second level divisions"], ("Brazil" -> "Davinópolis, Maranhão")[relation="second level divisions"], ("Brazil" -> "Viseu, Pará")[relation="second level divisions"], ("Brazil" -> "Boa Esperança do Iguaçu")[relation="second level divisions"], ("Brazil" -> "Feliz Deserto")[relation="contains"], ("Brazil" -> "Taiobeiras")[relation="second level divisions"], ("Brazil" -> "São Carlos")[relation="second level divisions"], ("Brazil" -> "Flávio Sérgio Viana")[relation="people born here"], ("Brazil" -> "Entre Folhas")[relation="second level divisions"], ("Brazil" -> "Vila Bela da Santíssima Trindade")[relation="second level divisions"], ("Brazil" -> "Pelotas")[relation="second level divisions"], ("Brazil" -> "Maria Lacerda de Moura")[relation="people born here"], ("Brazil" -> "Teófilo Otoni")[relation="contains"], ("Brazil" -> "Cerro Corá")[relation="contains"], ("Brazil" -> "Cantá")[relation="contains"], ("Brazil" -> "Inimutaba")[relation="contains"], ("President" -> "MA$TADON")[relation="subjects"], ("Brazil" -> "Aragominas")[relation="contains"], ("Brazil" -> "Milton Brandão")[relation="second level divisions"]];
}
``` | {
"node_list": [
"Milton Brandão",
"Entre Folhas",
"Brejetuba",
"Viseu, Pará",
"Feliz Deserto",
"Teófilo Otoni",
"Boa Esperança do Iguaçu",
"Araújos",
"Cerro Corá",
"Maria Lacerda de Moura",
"President",
"Santa Cruz do Escalvado",
"Cantá",
"Brazil",
"Inimutaba",
"Vila Bela da Santíssima Trindade",
"Aragominas",
"Aracruz",
"São Carlos",
"Barcelos",
"Davinópolis, Maranhão",
"Taiobeiras",
"Pedro Américo",
"São Bento do Tocantins",
"Flávio Sérgio Viana",
"Camocim de São Félix",
"Pelotas",
"MA$TADON"
],
"edge_list": [
[
"Brazil",
"people born here",
"Pedro Américo"
],
[
"Brazil",
"second level divisions",
"Araújos"
],
[
"Brazil",
"contains",
"Barcelos"
],
[
"Brazil",
"contains",
"Camocim de São Félix"
],
[
"Brazil",
"contains",
"Santa Cruz do Escalvado"
],
[
"Brazil",
"contains",
"Brejetuba"
],
[
"Brazil",
"contains",
"Aracruz"
],
[
"Brazil",
"second level divisions",
"São Bento do Tocantins"
],
[
"Brazil",
"second level divisions",
"Davinópolis, Maranhão"
],
[
"Brazil",
"second level divisions",
"Viseu, Pará"
],
[
"Brazil",
"second level divisions",
"Boa Esperança do Iguaçu"
],
[
"Brazil",
"contains",
"Feliz Deserto"
],
[
"Brazil",
"second level divisions",
"Taiobeiras"
],
[
"Brazil",
"second level divisions",
"São Carlos"
],
[
"Brazil",
"people born here",
"Flávio Sérgio Viana"
],
[
"Brazil",
"second level divisions",
"Entre Folhas"
],
[
"Brazil",
"second level divisions",
"Vila Bela da Santíssima Trindade"
],
[
"Brazil",
"second level divisions",
"Pelotas"
],
[
"Brazil",
"people born here",
"Maria Lacerda de Moura"
],
[
"Brazil",
"contains",
"Teófilo Otoni"
],
[
"Brazil",
"contains",
"Cerro Corá"
],
[
"Brazil",
"contains",
"Cantá"
],
[
"Brazil",
"contains",
"Inimutaba"
],
[
"President",
"subjects",
"MA$TADON"
],
[
"Brazil",
"contains",
"Aragominas"
],
[
"Brazil",
"second level divisions",
"Milton Brandão"
]
]
} | [
"I cannot answer the question directly. However, based on the world knowledge, the correct answer to the question is \"Dilma Rousseff\""
] | [] | medium | WebQuestions |
graph-language-modeling-graph-question-answering-webquestions | 19 | You are a good graph reasoner. Give you a graph language that describes a graph structure and node information. You need to understand the graph and the task definition, and answer the question.
Note: (i <-> j) means that node i and node j are connected with an undirected edge. (i -> j) means that node i and node j are connected with a directed edge.
```
Graph[name="freebase-knowledge-base"] {
entity_list = ['Dr. Lawrence Angelo', 'The Elder Brother', 'Fabian', 'Archy Stallings', 'Old Man Willow', 'Edgar Derby', 'Male', 'Simon Phoenix', 'Brian Chavez', 'Matter-Eater Lad', 'Buddy Walling', 'Peter Hines', 'Zeus', 'Trevor West', 'Ogden Morrow', 'Aegeus', 'Ted', 'Local Man', 'Cura', 'Tomohisa Kaname', 'Priest A', 'Alexander Kaseph', 'Alfred Bellows', 'Tarble', 'Jewish Official', 'Spirit', 'Policeman Fire'];
triple_list = [("Male" -> "Tarble")[relation="characters of this gender"], ("Male" -> "Ted")[relation="characters of this gender"], ("Male" -> "Brian Chavez")[relation="characters of this gender"], ("Male" -> "Dr. Lawrence Angelo")[relation="characters of this gender"], ("Male" -> "Tomohisa Kaname")[relation="characters of this gender"], ("Male" -> "Policeman Fire")[relation="characters of this gender"], ("Male" -> "Ogden Morrow")[relation="characters of this gender"], ("Male" -> "Alexander Kaseph")[relation="characters of this gender"], ("Male" -> "Local Man")[relation="characters of this gender"], ("Male" -> "Fabian")[relation="characters of this gender"], ("Male" -> "Peter Hines")[relation="characters of this gender"], ("Male" -> "Simon Phoenix")[relation="characters of this gender"], ("Male" -> "Cura")[relation="characters of this gender"], ("Male" -> "Buddy Walling")[relation="characters of this gender"], ("Male" -> "Spirit")[relation="characters of this gender"], ("Male" -> "Zeus")[relation="characters of this gender"], ("Male" -> "Old Man Willow")[relation="characters of this gender"], ("Male" -> "Alfred Bellows")[relation="characters of this gender"], ("Male" -> "Edgar Derby")[relation="characters of this gender"], ("Male" -> "The Elder Brother")[relation="characters of this gender"], ("Male" -> "Matter-Eater Lad")[relation="characters of this gender"], ("Male" -> "Trevor West")[relation="characters of this gender"], ("Male" -> "Jewish Official")[relation="characters of this gender"], ("Male" -> "Priest A")[relation="characters of this gender"], ("Male" -> "Archy Stallings")[relation="characters of this gender"], ("Male" -> "Aegeus")[relation="characters of this gender"]];
}
```
Task definition: given a question and a corresponding knowledge graph, and find an entity in the graph and answer the question.
Q: what is cher 's son 's name ?
A: | ```
Graph[name="freebase-knowledge-base"] {
entity_list = ['Dr. Lawrence Angelo', 'The Elder Brother', 'Fabian', 'Archy Stallings', 'Old Man Willow', 'Edgar Derby', 'Male', 'Simon Phoenix', 'Brian Chavez', 'Matter-Eater Lad', 'Buddy Walling', 'Peter Hines', 'Zeus', 'Trevor West', 'Ogden Morrow', 'Aegeus', 'Ted', 'Local Man', 'Cura', 'Tomohisa Kaname', 'Priest A', 'Alexander Kaseph', 'Alfred Bellows', 'Tarble', 'Jewish Official', 'Spirit', 'Policeman Fire'];
triple_list = [("Male" -> "Tarble")[relation="characters of this gender"], ("Male" -> "Ted")[relation="characters of this gender"], ("Male" -> "Brian Chavez")[relation="characters of this gender"], ("Male" -> "Dr. Lawrence Angelo")[relation="characters of this gender"], ("Male" -> "Tomohisa Kaname")[relation="characters of this gender"], ("Male" -> "Policeman Fire")[relation="characters of this gender"], ("Male" -> "Ogden Morrow")[relation="characters of this gender"], ("Male" -> "Alexander Kaseph")[relation="characters of this gender"], ("Male" -> "Local Man")[relation="characters of this gender"], ("Male" -> "Fabian")[relation="characters of this gender"], ("Male" -> "Peter Hines")[relation="characters of this gender"], ("Male" -> "Simon Phoenix")[relation="characters of this gender"], ("Male" -> "Cura")[relation="characters of this gender"], ("Male" -> "Buddy Walling")[relation="characters of this gender"], ("Male" -> "Spirit")[relation="characters of this gender"], ("Male" -> "Zeus")[relation="characters of this gender"], ("Male" -> "Old Man Willow")[relation="characters of this gender"], ("Male" -> "Alfred Bellows")[relation="characters of this gender"], ("Male" -> "Edgar Derby")[relation="characters of this gender"], ("Male" -> "The Elder Brother")[relation="characters of this gender"], ("Male" -> "Matter-Eater Lad")[relation="characters of this gender"], ("Male" -> "Trevor West")[relation="characters of this gender"], ("Male" -> "Jewish Official")[relation="characters of this gender"], ("Male" -> "Priest A")[relation="characters of this gender"], ("Male" -> "Archy Stallings")[relation="characters of this gender"], ("Male" -> "Aegeus")[relation="characters of this gender"]];
}
``` | {
"node_list": [
"Dr. Lawrence Angelo",
"The Elder Brother",
"Fabian",
"Archy Stallings",
"Old Man Willow",
"Edgar Derby",
"Male",
"Simon Phoenix",
"Brian Chavez",
"Matter-Eater Lad",
"Buddy Walling",
"Peter Hines",
"Zeus",
"Trevor West",
"Ogden Morrow",
"Aegeus",
"Ted",
"Local Man",
"Cura",
"Tomohisa Kaname",
"Priest A",
"Alexander Kaseph",
"Alfred Bellows",
"Tarble",
"Jewish Official",
"Spirit",
"Policeman Fire"
],
"edge_list": [
[
"Male",
"characters of this gender",
"Tarble"
],
[
"Male",
"characters of this gender",
"Ted"
],
[
"Male",
"characters of this gender",
"Brian Chavez"
],
[
"Male",
"characters of this gender",
"Dr. Lawrence Angelo"
],
[
"Male",
"characters of this gender",
"Tomohisa Kaname"
],
[
"Male",
"characters of this gender",
"Policeman Fire"
],
[
"Male",
"characters of this gender",
"Ogden Morrow"
],
[
"Male",
"characters of this gender",
"Alexander Kaseph"
],
[
"Male",
"characters of this gender",
"Local Man"
],
[
"Male",
"characters of this gender",
"Fabian"
],
[
"Male",
"characters of this gender",
"Peter Hines"
],
[
"Male",
"characters of this gender",
"Simon Phoenix"
],
[
"Male",
"characters of this gender",
"Cura"
],
[
"Male",
"characters of this gender",
"Buddy Walling"
],
[
"Male",
"characters of this gender",
"Spirit"
],
[
"Male",
"characters of this gender",
"Zeus"
],
[
"Male",
"characters of this gender",
"Old Man Willow"
],
[
"Male",
"characters of this gender",
"Alfred Bellows"
],
[
"Male",
"characters of this gender",
"Edgar Derby"
],
[
"Male",
"characters of this gender",
"The Elder Brother"
],
[
"Male",
"characters of this gender",
"Matter-Eater Lad"
],
[
"Male",
"characters of this gender",
"Trevor West"
],
[
"Male",
"characters of this gender",
"Jewish Official"
],
[
"Male",
"characters of this gender",
"Priest A"
],
[
"Male",
"characters of this gender",
"Archy Stallings"
],
[
"Male",
"characters of this gender",
"Aegeus"
]
]
} | [
"Based on the world knowledge, the correct answer to the question is \"Elijah Blue Allman\", but the answer is not existing in the graph."
] | [] | medium | WebQuestions |
graph-language-modeling-graph-question-answering-webquestions | 22 | You are a good graph reasoner. Give you a graph language that describes a graph structure and node information. You need to understand the graph and the task definition, and answer the question.
Note: (i <-> j) means that node i and node j are connected with an undirected edge. (i -> j) means that node i and node j are connected with a directed edge.
```
Graph[name="freebase-knowledge-base"] {
entity_list = ['Dong-joon Choi', 'Emma Ware', 'Sadagoppan Ramesh', 'Tameka Cottle', 'Poet', 'Kelsey Edwards', 'William Shakespeare', 'Author', 'Tom Malloy', 'Cab Calloway', 'Emma Taylor-Isherwood', 'Dave Andrews', 'Siddarth Jadhav', 'Norman Finkelstein', 'Milan Rúfus', 'Actor', 'Brian Davies', 'Heather Langenkamp', 'Søren Sætter-Lassen', 'Maggie Porter', 'Children', 'Rebecca West', 'Arada Arayawut', 'Landon Marshall', 'Sam Worthington', 'Margaret Edwards', 'Vladlen Davydov', 'Robert Lipton', 'S. D. Subbulakshmi', 'Udo Jürgens'];
triple_list = [("Actor" -> "Dong-joon Choi")[relation="people with this profession"], ("Author" -> "Norman Finkelstein")[relation="people with this profession"], ("Actor" -> "Emma Ware")[relation="people with this profession"], ("Actor" -> "Sadagoppan Ramesh")[relation="people with this profession"], ("Actor" -> "Maggie Porter")[relation="people with this profession"], ("Actor" -> "Robert Lipton")[relation="people with this profession"], ("Actor" -> "Sam Worthington")[relation="people with this profession"], ("Actor" -> "Søren Sætter-Lassen")[relation="people with this profession"], ("Actor" -> "Landon Marshall")[relation="people with this profession"], ("William Shakespeare" -> "Children")[relation="is reviewed"], ("Actor" -> "Vladlen Davydov")[relation="people with this profession"], ("Actor" -> "Tameka Cottle")[relation="people with this profession"], ("Actor" -> "Dave Andrews")[relation="people with this profession"], ("Actor" -> "Udo Jürgens")[relation="people with this profession"], ("Actor" -> "Heather Langenkamp")[relation="people with this profession"], ("Actor" -> "Emma Taylor-Isherwood")[relation="people with this profession"], ("Actor" -> "Brian Davies")[relation="people with this profession"], ("Actor" -> "Margaret Edwards")[relation="people with this profession"], ("Actor" -> "Arada Arayawut")[relation="people with this profession"], ("Actor" -> "Cab Calloway")[relation="people with this profession"], ("Actor" -> "Tom Malloy")[relation="people with this profession"], ("Actor" -> "Kelsey Edwards")[relation="people with this profession"], ("Actor" -> "S. D. Subbulakshmi")[relation="people with this profession"], ("Author" -> "Rebecca West")[relation="people with this profession"], ("Poet" -> "Milan Rúfus")[relation="people with this profession"], ("Actor" -> "Siddarth Jadhav")[relation="people with this profession"]];
}
```
Task definition: given a question and a corresponding knowledge graph, and find an entity in the graph and answer the question.
Q: what did william shakespeare do for a living ?
A: | ```
Graph[name="freebase-knowledge-base"] {
entity_list = ['Dong-joon Choi', 'Emma Ware', 'Sadagoppan Ramesh', 'Tameka Cottle', 'Poet', 'Kelsey Edwards', 'William Shakespeare', 'Author', 'Tom Malloy', 'Cab Calloway', 'Emma Taylor-Isherwood', 'Dave Andrews', 'Siddarth Jadhav', 'Norman Finkelstein', 'Milan Rúfus', 'Actor', 'Brian Davies', 'Heather Langenkamp', 'Søren Sætter-Lassen', 'Maggie Porter', 'Children', 'Rebecca West', 'Arada Arayawut', 'Landon Marshall', 'Sam Worthington', 'Margaret Edwards', 'Vladlen Davydov', 'Robert Lipton', 'S. D. Subbulakshmi', 'Udo Jürgens'];
triple_list = [("Actor" -> "Dong-joon Choi")[relation="people with this profession"], ("Author" -> "Norman Finkelstein")[relation="people with this profession"], ("Actor" -> "Emma Ware")[relation="people with this profession"], ("Actor" -> "Sadagoppan Ramesh")[relation="people with this profession"], ("Actor" -> "Maggie Porter")[relation="people with this profession"], ("Actor" -> "Robert Lipton")[relation="people with this profession"], ("Actor" -> "Sam Worthington")[relation="people with this profession"], ("Actor" -> "Søren Sætter-Lassen")[relation="people with this profession"], ("Actor" -> "Landon Marshall")[relation="people with this profession"], ("William Shakespeare" -> "Children")[relation="is reviewed"], ("Actor" -> "Vladlen Davydov")[relation="people with this profession"], ("Actor" -> "Tameka Cottle")[relation="people with this profession"], ("Actor" -> "Dave Andrews")[relation="people with this profession"], ("Actor" -> "Udo Jürgens")[relation="people with this profession"], ("Actor" -> "Heather Langenkamp")[relation="people with this profession"], ("Actor" -> "Emma Taylor-Isherwood")[relation="people with this profession"], ("Actor" -> "Brian Davies")[relation="people with this profession"], ("Actor" -> "Margaret Edwards")[relation="people with this profession"], ("Actor" -> "Arada Arayawut")[relation="people with this profession"], ("Actor" -> "Cab Calloway")[relation="people with this profession"], ("Actor" -> "Tom Malloy")[relation="people with this profession"], ("Actor" -> "Kelsey Edwards")[relation="people with this profession"], ("Actor" -> "S. D. Subbulakshmi")[relation="people with this profession"], ("Author" -> "Rebecca West")[relation="people with this profession"], ("Poet" -> "Milan Rúfus")[relation="people with this profession"], ("Actor" -> "Siddarth Jadhav")[relation="people with this profession"]];
}
``` | {
"node_list": [
"Dong-joon Choi",
"Emma Ware",
"Sadagoppan Ramesh",
"Tameka Cottle",
"Poet",
"Kelsey Edwards",
"William Shakespeare",
"Author",
"Tom Malloy",
"Cab Calloway",
"Emma Taylor-Isherwood",
"Dave Andrews",
"Siddarth Jadhav",
"Norman Finkelstein",
"Milan Rúfus",
"Actor",
"Brian Davies",
"Heather Langenkamp",
"Søren Sætter-Lassen",
"Maggie Porter",
"Children",
"Rebecca West",
"Arada Arayawut",
"Landon Marshall",
"Sam Worthington",
"Margaret Edwards",
"Vladlen Davydov",
"Robert Lipton",
"S. D. Subbulakshmi",
"Udo Jürgens"
],
"edge_list": [
[
"Actor",
"people with this profession",
"Dong-joon Choi"
],
[
"Author",
"people with this profession",
"Norman Finkelstein"
],
[
"Actor",
"people with this profession",
"Emma Ware"
],
[
"Actor",
"people with this profession",
"Sadagoppan Ramesh"
],
[
"Actor",
"people with this profession",
"Maggie Porter"
],
[
"Actor",
"people with this profession",
"Robert Lipton"
],
[
"Actor",
"people with this profession",
"Sam Worthington"
],
[
"Actor",
"people with this profession",
"Søren Sætter-Lassen"
],
[
"Actor",
"people with this profession",
"Landon Marshall"
],
[
"William Shakespeare",
"is reviewed",
"Children"
],
[
"Actor",
"people with this profession",
"Vladlen Davydov"
],
[
"Actor",
"people with this profession",
"Tameka Cottle"
],
[
"Actor",
"people with this profession",
"Dave Andrews"
],
[
"Actor",
"people with this profession",
"Udo Jürgens"
],
[
"Actor",
"people with this profession",
"Heather Langenkamp"
],
[
"Actor",
"people with this profession",
"Emma Taylor-Isherwood"
],
[
"Actor",
"people with this profession",
"Brian Davies"
],
[
"Actor",
"people with this profession",
"Margaret Edwards"
],
[
"Actor",
"people with this profession",
"Arada Arayawut"
],
[
"Actor",
"people with this profession",
"Cab Calloway"
],
[
"Actor",
"people with this profession",
"Tom Malloy"
],
[
"Actor",
"people with this profession",
"Kelsey Edwards"
],
[
"Actor",
"people with this profession",
"S. D. Subbulakshmi"
],
[
"Author",
"people with this profession",
"Rebecca West"
],
[
"Poet",
"people with this profession",
"Milan Rúfus"
],
[
"Actor",
"people with this profession",
"Siddarth Jadhav"
]
]
} | [
"Based on the graph, we can find a reasoning path ('William Shakespeare', 'profession', 'Author'), so the answer entity is \"Author\"",
"Based on the graph, we can find a reasoning path ('William Shakespeare', 'profession', 'Author'), so the answer entity is \"Lyricist\"",
"Based on the graph, we can find a reasoning path ('William Shakespeare', 'profession', 'Author'), so the answer entity is \"Actor\"",
"Based on the graph, we can find a reasoning path ('William Shakespeare', 'profession', 'Author'), so the answer entity is \"Playwright\"",
"Based on the graph, we can find a reasoning path ('William Shakespeare', 'profession', 'Author'), so the answer entity is \"Poet\""
] | [] | medium | WebQuestions |
graph-language-modeling-graph-question-answering-webquestions | 24 | You are a good graph reasoner. Give you a graph language that describes a graph structure and node information. You need to understand the graph and the task definition, and answer the question.
Note: (i <-> j) means that node i and node j are connected with an undirected edge. (i -> j) means that node i and node j are connected with a directed edge.
```
Graph[name="freebase-knowledge-base"] {
entity_list = ['Polo Grounds II', 'National League', 'Orange', '2010 Major League Baseball season', 'Seals Stadium', 'Polo Grounds', 'San Francisco', 'New York Gothams', 'National League West', '2014 Major League Baseball season', 'San Francisco Giants', 'St. George Cricket Grounds', 'Gold', 'AT&T Park', 'Crazy Crab', 'New York Giants', 'Polo Grounds III', '2010 World Series', 'Candlestick Park', '2012 World Series', 'Lou Seal', 'Contact webpages', '2014 World Series', 'Baseball'];
triple_list = [("San Francisco Giants" -> "New York Gothams")[relation="previously known as"], ("San Francisco Giants" -> "Polo Grounds III")[relation="arena stadium"], ("San Francisco Giants" -> "Lou Seal")[relation="team mascot"], ("San Francisco Giants" -> "Seals Stadium")[relation="arena stadium"], ("AT&T Park" -> "San Francisco")[relation="containedby"], ("AT&T Park" -> "2010 World Series")[relation="events"], ("San Francisco Giants" -> "St. George Cricket Grounds")[relation="arena stadium"], ("San Francisco Giants" -> "National League")[relation="league"], ("San Francisco Giants" -> "Polo Grounds")[relation="arena stadium"], ("San Francisco Giants" -> "Polo Grounds II")[relation="arena stadium"], ("San Francisco Giants" -> "Baseball")[relation="sport"], ("San Francisco Giants" -> "Contact webpages")[relation="is reviewed"], ("San Francisco Giants" -> "Orange")[relation="colors"], ("San Francisco Giants" -> "Candlestick Park")[relation="arena stadium"], ("San Francisco Giants" -> "National League West")[relation="division"], ("San Francisco Giants" -> "Gold")[relation="colors"], ("San Francisco Giants" -> "2010 Major League Baseball season")[relation="event"], ("San Francisco Giants" -> "San Francisco")[relation="location"], ("San Francisco Giants" -> "AT&T Park")[relation="arena stadium"], ("San Francisco Giants" -> "2014 World Series")[relation="championships"], ("San Francisco Giants" -> "Crazy Crab")[relation="team mascot"], ("San Francisco Giants" -> "2010 World Series")[relation="championships"], ("San Francisco Giants" -> "2012 World Series")[relation="event"], ("San Francisco Giants" -> "New York Giants")[relation="previously known as"], ("AT&T Park" -> "2012 World Series")[relation="events"], ("San Francisco Giants" -> "2014 Major League Baseball season")[relation="event"]];
}
```
Task definition: given a question and a corresponding knowledge graph, and find an entity in the graph and answer the question.
Q: where do the san francisco giants play home games ?
A: | ```
Graph[name="freebase-knowledge-base"] {
entity_list = ['Polo Grounds II', 'National League', 'Orange', '2010 Major League Baseball season', 'Seals Stadium', 'Polo Grounds', 'San Francisco', 'New York Gothams', 'National League West', '2014 Major League Baseball season', 'San Francisco Giants', 'St. George Cricket Grounds', 'Gold', 'AT&T Park', 'Crazy Crab', 'New York Giants', 'Polo Grounds III', '2010 World Series', 'Candlestick Park', '2012 World Series', 'Lou Seal', 'Contact webpages', '2014 World Series', 'Baseball'];
triple_list = [("San Francisco Giants" -> "New York Gothams")[relation="previously known as"], ("San Francisco Giants" -> "Polo Grounds III")[relation="arena stadium"], ("San Francisco Giants" -> "Lou Seal")[relation="team mascot"], ("San Francisco Giants" -> "Seals Stadium")[relation="arena stadium"], ("AT&T Park" -> "San Francisco")[relation="containedby"], ("AT&T Park" -> "2010 World Series")[relation="events"], ("San Francisco Giants" -> "St. George Cricket Grounds")[relation="arena stadium"], ("San Francisco Giants" -> "National League")[relation="league"], ("San Francisco Giants" -> "Polo Grounds")[relation="arena stadium"], ("San Francisco Giants" -> "Polo Grounds II")[relation="arena stadium"], ("San Francisco Giants" -> "Baseball")[relation="sport"], ("San Francisco Giants" -> "Contact webpages")[relation="is reviewed"], ("San Francisco Giants" -> "Orange")[relation="colors"], ("San Francisco Giants" -> "Candlestick Park")[relation="arena stadium"], ("San Francisco Giants" -> "National League West")[relation="division"], ("San Francisco Giants" -> "Gold")[relation="colors"], ("San Francisco Giants" -> "2010 Major League Baseball season")[relation="event"], ("San Francisco Giants" -> "San Francisco")[relation="location"], ("San Francisco Giants" -> "AT&T Park")[relation="arena stadium"], ("San Francisco Giants" -> "2014 World Series")[relation="championships"], ("San Francisco Giants" -> "Crazy Crab")[relation="team mascot"], ("San Francisco Giants" -> "2010 World Series")[relation="championships"], ("San Francisco Giants" -> "2012 World Series")[relation="event"], ("San Francisco Giants" -> "New York Giants")[relation="previously known as"], ("AT&T Park" -> "2012 World Series")[relation="events"], ("San Francisco Giants" -> "2014 Major League Baseball season")[relation="event"]];
}
``` | {
"node_list": [
"Polo Grounds II",
"National League",
"Orange",
"2010 Major League Baseball season",
"Seals Stadium",
"Polo Grounds",
"San Francisco",
"New York Gothams",
"National League West",
"2014 Major League Baseball season",
"San Francisco Giants",
"St. George Cricket Grounds",
"Gold",
"AT&T Park",
"Crazy Crab",
"New York Giants",
"Polo Grounds III",
"2010 World Series",
"Candlestick Park",
"2012 World Series",
"Lou Seal",
"Contact webpages",
"2014 World Series",
"Baseball"
],
"edge_list": [
[
"San Francisco Giants",
"previously known as",
"New York Gothams"
],
[
"San Francisco Giants",
"arena stadium",
"Polo Grounds III"
],
[
"San Francisco Giants",
"team mascot",
"Lou Seal"
],
[
"San Francisco Giants",
"arena stadium",
"Seals Stadium"
],
[
"AT&T Park",
"containedby",
"San Francisco"
],
[
"AT&T Park",
"events",
"2010 World Series"
],
[
"San Francisco Giants",
"arena stadium",
"St. George Cricket Grounds"
],
[
"San Francisco Giants",
"league",
"National League"
],
[
"San Francisco Giants",
"arena stadium",
"Polo Grounds"
],
[
"San Francisco Giants",
"arena stadium",
"Polo Grounds II"
],
[
"San Francisco Giants",
"sport",
"Baseball"
],
[
"San Francisco Giants",
"is reviewed",
"Contact webpages"
],
[
"San Francisco Giants",
"colors",
"Orange"
],
[
"San Francisco Giants",
"arena stadium",
"Candlestick Park"
],
[
"San Francisco Giants",
"division",
"National League West"
],
[
"San Francisco Giants",
"colors",
"Gold"
],
[
"San Francisco Giants",
"event",
"2010 Major League Baseball season"
],
[
"San Francisco Giants",
"location",
"San Francisco"
],
[
"San Francisco Giants",
"arena stadium",
"AT&T Park"
],
[
"San Francisco Giants",
"championships",
"2014 World Series"
],
[
"San Francisco Giants",
"team mascot",
"Crazy Crab"
],
[
"San Francisco Giants",
"championships",
"2010 World Series"
],
[
"San Francisco Giants",
"event",
"2012 World Series"
],
[
"San Francisco Giants",
"previously known as",
"New York Giants"
],
[
"AT&T Park",
"events",
"2012 World Series"
],
[
"San Francisco Giants",
"event",
"2014 Major League Baseball season"
]
]
} | [
"Based on the graph, we can find a reasoning path ('San Francisco Giants', 'arena stadium', 'AT&T Park'), so the answer entity is \"AT&T Park\""
] | [] | medium | WebQuestions |
graph-language-modeling-graph-question-answering-webquestions | 25 | You are a good graph reasoner. Give you a graph language that describes a graph structure and node information. You need to understand the graph and the task definition, and answer the question.
Note: (i <-> j) means that node i and node j are connected with an undirected edge. (i -> j) means that node i and node j are connected with a directed edge.
```
Graph[name="freebase-knowledge-base"] {
entity_list = ['Male', 'Kansas City', "People's Party", 'Politician', 'Democratic Party', 'Statesman', 'Date of death', 'Lawyer', 'Place of birth', 'Dayton', 'Presbyterianism', 'Ruth Bryan Owen', 'Bryan County', '1900 Democratic National Convention', 'Salem', 'Bryan College', 'Date of birth', 'United States of America', 'Silas Bryan', 'Gender', 'Country of nationality', 'Place of death', 'Mariah Elizabeth Bryan', 'Arlington National Cemetery', 'William Jennings Bryan'];
triple_list = [("William Jennings Bryan" -> "Salem")[relation="place of birth"], ("William Jennings Bryan" -> "Date of death")[relation="is reviewed"], ("William Jennings Bryan" -> "Lawyer")[relation="profession"], ("William Jennings Bryan" -> "Place of death")[relation="is reviewed"], ("William Jennings Bryan" -> "Place of birth")[relation="is reviewed"], ("William Jennings Bryan" -> "United States of America")[relation="nationality"], ("William Jennings Bryan" -> "Male")[relation="gender"], ("William Jennings Bryan" -> "People's Party")[relation="organizations founded"], ("William Jennings Bryan" -> "Bryan County")[relation="namesakes"], ("William Jennings Bryan" -> "Statesman")[relation="profession"], ("William Jennings Bryan" -> "Dayton")[relation="place of death"], ("1900 Democratic National Convention" -> "Kansas City")[relation="locations"], ("William Jennings Bryan" -> "Mariah Elizabeth Bryan")[relation="parents"], ("William Jennings Bryan" -> "1900 Democratic National Convention")[relation="nominated at"], ("1900 Democratic National Convention" -> "William Jennings Bryan")[relation="presidential nominee"], ("William Jennings Bryan" -> "Ruth Bryan Owen")[relation="children"], ("William Jennings Bryan" -> "Date of birth")[relation="is reviewed"], ("William Jennings Bryan" -> "Arlington National Cemetery")[relation="place of burial"], ("William Jennings Bryan" -> "Gender")[relation="is reviewed"], ("William Jennings Bryan" -> "Presbyterianism")[relation="religion"], ("William Jennings Bryan" -> "Silas Bryan")[relation="parents"], ("William Jennings Bryan" -> "Country of nationality")[relation="is reviewed"], ("1900 Democratic National Convention" -> "Kansas City")[relation="host city"], ("1900 Democratic National Convention" -> "Democratic Party")[relation="party"], ("William Jennings Bryan" -> "Bryan College")[relation="namesakes"], ("William Jennings Bryan" -> "Politician")[relation="profession"]];
}
```
Task definition: given a question and a corresponding knowledge graph, and find an entity in the graph and answer the question.
Q: what year did william jennings bryan run for president ?
A: | ```
Graph[name="freebase-knowledge-base"] {
entity_list = ['Male', 'Kansas City', "People's Party", 'Politician', 'Democratic Party', 'Statesman', 'Date of death', 'Lawyer', 'Place of birth', 'Dayton', 'Presbyterianism', 'Ruth Bryan Owen', 'Bryan County', '1900 Democratic National Convention', 'Salem', 'Bryan College', 'Date of birth', 'United States of America', 'Silas Bryan', 'Gender', 'Country of nationality', 'Place of death', 'Mariah Elizabeth Bryan', 'Arlington National Cemetery', 'William Jennings Bryan'];
triple_list = [("William Jennings Bryan" -> "Salem")[relation="place of birth"], ("William Jennings Bryan" -> "Date of death")[relation="is reviewed"], ("William Jennings Bryan" -> "Lawyer")[relation="profession"], ("William Jennings Bryan" -> "Place of death")[relation="is reviewed"], ("William Jennings Bryan" -> "Place of birth")[relation="is reviewed"], ("William Jennings Bryan" -> "United States of America")[relation="nationality"], ("William Jennings Bryan" -> "Male")[relation="gender"], ("William Jennings Bryan" -> "People's Party")[relation="organizations founded"], ("William Jennings Bryan" -> "Bryan County")[relation="namesakes"], ("William Jennings Bryan" -> "Statesman")[relation="profession"], ("William Jennings Bryan" -> "Dayton")[relation="place of death"], ("1900 Democratic National Convention" -> "Kansas City")[relation="locations"], ("William Jennings Bryan" -> "Mariah Elizabeth Bryan")[relation="parents"], ("William Jennings Bryan" -> "1900 Democratic National Convention")[relation="nominated at"], ("1900 Democratic National Convention" -> "William Jennings Bryan")[relation="presidential nominee"], ("William Jennings Bryan" -> "Ruth Bryan Owen")[relation="children"], ("William Jennings Bryan" -> "Date of birth")[relation="is reviewed"], ("William Jennings Bryan" -> "Arlington National Cemetery")[relation="place of burial"], ("William Jennings Bryan" -> "Gender")[relation="is reviewed"], ("William Jennings Bryan" -> "Presbyterianism")[relation="religion"], ("William Jennings Bryan" -> "Silas Bryan")[relation="parents"], ("William Jennings Bryan" -> "Country of nationality")[relation="is reviewed"], ("1900 Democratic National Convention" -> "Kansas City")[relation="host city"], ("1900 Democratic National Convention" -> "Democratic Party")[relation="party"], ("William Jennings Bryan" -> "Bryan College")[relation="namesakes"], ("William Jennings Bryan" -> "Politician")[relation="profession"]];
}
``` | {
"node_list": [
"Male",
"Kansas City",
"People's Party",
"Politician",
"Democratic Party",
"Statesman",
"Date of death",
"Lawyer",
"Place of birth",
"Dayton",
"Presbyterianism",
"Ruth Bryan Owen",
"Bryan County",
"1900 Democratic National Convention",
"Salem",
"Bryan College",
"Date of birth",
"United States of America",
"Silas Bryan",
"Gender",
"Country of nationality",
"Place of death",
"Mariah Elizabeth Bryan",
"Arlington National Cemetery",
"William Jennings Bryan"
],
"edge_list": [
[
"William Jennings Bryan",
"place of birth",
"Salem"
],
[
"William Jennings Bryan",
"is reviewed",
"Date of death"
],
[
"William Jennings Bryan",
"profession",
"Lawyer"
],
[
"William Jennings Bryan",
"is reviewed",
"Place of death"
],
[
"William Jennings Bryan",
"is reviewed",
"Place of birth"
],
[
"William Jennings Bryan",
"nationality",
"United States of America"
],
[
"William Jennings Bryan",
"gender",
"Male"
],
[
"William Jennings Bryan",
"organizations founded",
"People's Party"
],
[
"William Jennings Bryan",
"namesakes",
"Bryan County"
],
[
"William Jennings Bryan",
"profession",
"Statesman"
],
[
"William Jennings Bryan",
"place of death",
"Dayton"
],
[
"1900 Democratic National Convention",
"locations",
"Kansas City"
],
[
"William Jennings Bryan",
"parents",
"Mariah Elizabeth Bryan"
],
[
"William Jennings Bryan",
"nominated at",
"1900 Democratic National Convention"
],
[
"1900 Democratic National Convention",
"presidential nominee",
"William Jennings Bryan"
],
[
"William Jennings Bryan",
"children",
"Ruth Bryan Owen"
],
[
"William Jennings Bryan",
"is reviewed",
"Date of birth"
],
[
"William Jennings Bryan",
"place of burial",
"Arlington National Cemetery"
],
[
"William Jennings Bryan",
"is reviewed",
"Gender"
],
[
"William Jennings Bryan",
"religion",
"Presbyterianism"
],
[
"William Jennings Bryan",
"parents",
"Silas Bryan"
],
[
"William Jennings Bryan",
"is reviewed",
"Country of nationality"
],
[
"1900 Democratic National Convention",
"host city",
"Kansas City"
],
[
"1900 Democratic National Convention",
"party",
"Democratic Party"
],
[
"William Jennings Bryan",
"namesakes",
"Bryan College"
],
[
"William Jennings Bryan",
"profession",
"Politician"
]
]
} | [
"Based on the graph, we can find a reasoning path ('William Jennings Bryan', 'nominated at', '1900 Democratic National Convention'), so the answer entity is \"1900 Democratic National Convention\"",
"Based on the graph, we can find a reasoning path ('William Jennings Bryan', 'nominated at', '1900 Democratic National Convention'), so the answer entity is \"1908 Democratic National Convention\"",
"Based on the graph, we can find a reasoning path ('William Jennings Bryan', 'nominated at', '1900 Democratic National Convention'), so the answer entity is \"1896 Democratic National Convention\""
] | [] | medium | WebQuestions |
graph-language-modeling-graph-question-answering-webquestions | 29 | You are a good graph reasoner. Give you a graph language that describes a graph structure and node information. You need to understand the graph and the task definition, and answer the question.
Note: (i <-> j) means that node i and node j are connected with an undirected edge. (i -> j) means that node i and node j are connected with a directed edge.
```
Graph[name="freebase-knowledge-base"] {
entity_list = ['John Heawood', 'Federal University of Rio de Janeiro', 'Southeast University', 'Don McFarlane', 'Ahrn Palley', 'Lebret', 'Somerset', 'Laine Peters', 'South Africa', 'Ethelbert', 'Yanne Rego', 'João Bica', 'Pitt Lake', 'Rio Grande', 'Cutias', 'Universidade Federal de Pelotas', 'Itapemirim', 'P. K. Page', 'Brazil', 'Lina Chamie', 'Francisco Ayres', 'Parelheiros', 'Byng Inlet', 'China Zhi Gong Party', 'Flint and Feather', 'Canada', 'Hedy Iracema-Brügelmann', 'Canadian Dominion', 'Portugal', 'China', 'Bergrivier Local Municipality'];
triple_list = [("Brazil" -> "Federal University of Rio de Janeiro")[relation="contains"], ("Brazil" -> "Universidade Federal de Pelotas")[relation="contains"], ("Brazil" -> "Cutias")[relation="second level divisions"], ("Brazil" -> "Lina Chamie")[relation="people born here"], ("Canada" -> "John Heawood")[relation="people born here"], ("Canada" -> "Byng Inlet")[relation="contains"], ("Canada" -> "P. K. Page")[relation="works"], ("South Africa" -> "Bergrivier Local Municipality")[relation="contains"], ("Canada" -> "Pitt Lake")[relation="contains"], ("Brazil" -> "Hedy Iracema-Brügelmann")[relation="people born here"], ("Canada" -> "Don McFarlane")[relation="people born here"], ("China" -> "China Zhi Gong Party")[relation="organizations with this scope"], ("Canada" -> "Somerset")[relation="contains"], ("Canada" -> "Canadian Dominion")[relation="works"], ("Canada" -> "Laine Peters")[relation="people born here"], ("Canada" -> "Flint and Feather")[relation="works"], ("Portugal" -> "João Bica")[relation="people born here"], ("South Africa" -> "Ahrn Palley")[relation="people born here"], ("China" -> "Southeast University")[relation="contains"], ("Brazil" -> "Francisco Ayres")[relation="second level divisions"], ("Brazil" -> "Itapemirim")[relation="second level divisions"], ("Canada" -> "Ethelbert")[relation="contains"], ("Canada" -> "Lebret")[relation="contains"], ("Portugal" -> "Yanne Rego")[relation="people born here"], ("Brazil" -> "Parelheiros")[relation="contains"], ("Brazil" -> "Rio Grande")[relation="contains"]];
}
```
Task definition: given a question and a corresponding knowledge graph, and find an entity in the graph and answer the question.
Q: what countries do people speak portuguese ?
A: | ```
Graph[name="freebase-knowledge-base"] {
entity_list = ['John Heawood', 'Federal University of Rio de Janeiro', 'Southeast University', 'Don McFarlane', 'Ahrn Palley', 'Lebret', 'Somerset', 'Laine Peters', 'South Africa', 'Ethelbert', 'Yanne Rego', 'João Bica', 'Pitt Lake', 'Rio Grande', 'Cutias', 'Universidade Federal de Pelotas', 'Itapemirim', 'P. K. Page', 'Brazil', 'Lina Chamie', 'Francisco Ayres', 'Parelheiros', 'Byng Inlet', 'China Zhi Gong Party', 'Flint and Feather', 'Canada', 'Hedy Iracema-Brügelmann', 'Canadian Dominion', 'Portugal', 'China', 'Bergrivier Local Municipality'];
triple_list = [("Brazil" -> "Federal University of Rio de Janeiro")[relation="contains"], ("Brazil" -> "Universidade Federal de Pelotas")[relation="contains"], ("Brazil" -> "Cutias")[relation="second level divisions"], ("Brazil" -> "Lina Chamie")[relation="people born here"], ("Canada" -> "John Heawood")[relation="people born here"], ("Canada" -> "Byng Inlet")[relation="contains"], ("Canada" -> "P. K. Page")[relation="works"], ("South Africa" -> "Bergrivier Local Municipality")[relation="contains"], ("Canada" -> "Pitt Lake")[relation="contains"], ("Brazil" -> "Hedy Iracema-Brügelmann")[relation="people born here"], ("Canada" -> "Don McFarlane")[relation="people born here"], ("China" -> "China Zhi Gong Party")[relation="organizations with this scope"], ("Canada" -> "Somerset")[relation="contains"], ("Canada" -> "Canadian Dominion")[relation="works"], ("Canada" -> "Laine Peters")[relation="people born here"], ("Canada" -> "Flint and Feather")[relation="works"], ("Portugal" -> "João Bica")[relation="people born here"], ("South Africa" -> "Ahrn Palley")[relation="people born here"], ("China" -> "Southeast University")[relation="contains"], ("Brazil" -> "Francisco Ayres")[relation="second level divisions"], ("Brazil" -> "Itapemirim")[relation="second level divisions"], ("Canada" -> "Ethelbert")[relation="contains"], ("Canada" -> "Lebret")[relation="contains"], ("Portugal" -> "Yanne Rego")[relation="people born here"], ("Brazil" -> "Parelheiros")[relation="contains"], ("Brazil" -> "Rio Grande")[relation="contains"]];
}
``` | {
"node_list": [
"John Heawood",
"Federal University of Rio de Janeiro",
"Southeast University",
"Don McFarlane",
"Ahrn Palley",
"Lebret",
"Somerset",
"Laine Peters",
"South Africa",
"Ethelbert",
"Yanne Rego",
"João Bica",
"Pitt Lake",
"Rio Grande",
"Cutias",
"Universidade Federal de Pelotas",
"Itapemirim",
"P. K. Page",
"Brazil",
"Lina Chamie",
"Francisco Ayres",
"Parelheiros",
"Byng Inlet",
"China Zhi Gong Party",
"Flint and Feather",
"Canada",
"Hedy Iracema-Brügelmann",
"Canadian Dominion",
"Portugal",
"China",
"Bergrivier Local Municipality"
],
"edge_list": [
[
"Brazil",
"contains",
"Federal University of Rio de Janeiro"
],
[
"Brazil",
"contains",
"Universidade Federal de Pelotas"
],
[
"Brazil",
"second level divisions",
"Cutias"
],
[
"Brazil",
"people born here",
"Lina Chamie"
],
[
"Canada",
"people born here",
"John Heawood"
],
[
"Canada",
"contains",
"Byng Inlet"
],
[
"Canada",
"works",
"P. K. Page"
],
[
"South Africa",
"contains",
"Bergrivier Local Municipality"
],
[
"Canada",
"contains",
"Pitt Lake"
],
[
"Brazil",
"people born here",
"Hedy Iracema-Brügelmann"
],
[
"Canada",
"people born here",
"Don McFarlane"
],
[
"China",
"organizations with this scope",
"China Zhi Gong Party"
],
[
"Canada",
"contains",
"Somerset"
],
[
"Canada",
"works",
"Canadian Dominion"
],
[
"Canada",
"people born here",
"Laine Peters"
],
[
"Canada",
"works",
"Flint and Feather"
],
[
"Portugal",
"people born here",
"João Bica"
],
[
"South Africa",
"people born here",
"Ahrn Palley"
],
[
"China",
"contains",
"Southeast University"
],
[
"Brazil",
"second level divisions",
"Francisco Ayres"
],
[
"Brazil",
"second level divisions",
"Itapemirim"
],
[
"Canada",
"contains",
"Ethelbert"
],
[
"Canada",
"contains",
"Lebret"
],
[
"Portugal",
"people born here",
"Yanne Rego"
],
[
"Brazil",
"contains",
"Parelheiros"
],
[
"Brazil",
"contains",
"Rio Grande"
]
]
} | [
"Based on the graph, we can find a reasoning path ('Macau', 'near travel destination', 'Macau'), so the answer entity is \"Cape Verde\"",
"Based on the graph, we can find a reasoning path ('Macau', 'near travel destination', 'Macau'), so the answer entity is \"Angola\"",
"Based on the graph, we can find a reasoning path ('Macau', 'near travel destination', 'Macau'), so the answer entity is \"Equatorial Guinea\"",
"Based on the graph, we can find a reasoning path ('Macau', 'near travel destination', 'Macau'), so the answer entity is \"Guyana\"",
"Based on the graph, we can find a reasoning path ('Macau', 'near travel destination', 'Macau'), so the answer entity is \"Macau\"",
"Based on the graph, we can find a reasoning path ('Macau', 'near travel destination', 'Macau'), so the answer entity is \"South Africa\"",
"Based on the graph, we can find a reasoning path ('Macau', 'near travel destination', 'Macau'), so the answer entity is \"Portugal\"",
"Based on the graph, we can find a reasoning path ('Macau', 'near travel destination', 'Macau'), so the answer entity is \"Guinea-Bissau\"",
"Based on the graph, we can find a reasoning path ('Macau', 'near travel destination', 'Macau'), so the answer entity is \"Timor-Leste\"",
"Based on the graph, we can find a reasoning path ('Macau', 'near travel destination', 'Macau'), so the answer entity is \"Brazil\"",
"Based on the graph, we can find a reasoning path ('Macau', 'near travel destination', 'Macau'), so the answer entity is \"Mozambique\"",
"Based on the graph, we can find a reasoning path ('Macau', 'near travel destination', 'Macau'), so the answer entity is \"Canada\"",
"Based on the graph, we can find a reasoning path ('Macau', 'near travel destination', 'Macau'), so the answer entity is \"Andorra\"",
"Based on the graph, we can find a reasoning path ('Macau', 'near travel destination', 'Macau'), so the answer entity is \"China\""
] | [] | medium | WebQuestions |
graph-language-modeling-graph-question-answering-webquestions | 30 | You are a good graph reasoner. Give you a graph language that describes a graph structure and node information. You need to understand the graph and the task definition, and answer the question.
Note: (i <-> j) means that node i and node j are connected with an undirected edge. (i -> j) means that node i and node j are connected with a directed edge.
```
Graph[name="freebase-knowledge-base"] {
entity_list = ['English Language', 'Walt Disney Pictures', 'Disney Princess Sing-Along Songs: Enchanted Tea Party', 'Peter Pan', 'The Sword in the Stone', 'So Dear to My Heart', 'Disneyland', 'Zdeněk Miler', 'Fantasia', 'Three Little Wolves', 'The Pointer', "Santa's Workshop", 'Lady and the Tramp', 'Pete', "Orphan's Benefit", 'Diane Disney Miller', 'Ferdinand the Bull', 'The Mad Doctor', 'United States of America', "Pirates of the Caribbean: Dead Man's Chest", 'Disney Channel', 'Horace Horsecollar', 'Walt Disney', 'Sharon Mae Disney', "Pirates of the Caribbean: At World's End", "Donald's Vacation", 'Donalds Better Self', 'Winnie the Pooh and the Blustery Day'];
triple_list = [("Walt Disney" -> "Fantasia")[relation="film"], ("Sharon Mae Disney" -> "United States of America")[relation="nationality"], ("Walt Disney" -> "Orphan's Benefit")[relation="film"], ("Walt Disney" -> "Pete")[relation="fictional characters created"], ("Walt Disney" -> "Three Little Wolves")[relation="film"], ("Walt Disney" -> "Zdeněk Miler")[relation="influenced"], ("Walt Disney" -> "Santa's Workshop")[relation="film"], ("Walt Disney" -> "Pirates of the Caribbean: Dead Man's Chest")[relation="film story credits"], ("Walt Disney" -> "The Mad Doctor")[relation="film"], ("Walt Disney" -> "Lady and the Tramp")[relation="film"], ("Walt Disney" -> "English Language")[relation="languages"], ("Walt Disney" -> "Disney Channel")[relation="organizations founded"], ("Walt Disney" -> "Donald's Vacation")[relation="film"], ("Walt Disney" -> "Winnie the Pooh and the Blustery Day")[relation="film"], ("Walt Disney" -> "The Pointer")[relation="film"], ("Walt Disney" -> "Horace Horsecollar")[relation="fictional characters created"], ("Walt Disney" -> "Peter Pan")[relation="film"], ("Walt Disney" -> "Pirates of the Caribbean: At World's End")[relation="film story credits"], ("Walt Disney" -> "The Sword in the Stone")[relation="film"], ("Walt Disney" -> "Disneyland")[relation="namesakes"], ("Walt Disney" -> "So Dear to My Heart")[relation="film"], ("Walt Disney" -> "Diane Disney Miller")[relation="children"], ("Walt Disney" -> "Walt Disney Pictures")[relation="organizations founded"], ("Walt Disney" -> "Donalds Better Self")[relation="film"], ("Walt Disney" -> "Ferdinand the Bull")[relation="film"], ("Walt Disney" -> "Disney Princess Sing-Along Songs: Enchanted Tea Party")[relation="film"]];
}
```
Task definition: given a question and a corresponding knowledge graph, and find an entity in the graph and answer the question.
Q: what are the names of walt disney kids ?
A: | ```
Graph[name="freebase-knowledge-base"] {
entity_list = ['English Language', 'Walt Disney Pictures', 'Disney Princess Sing-Along Songs: Enchanted Tea Party', 'Peter Pan', 'The Sword in the Stone', 'So Dear to My Heart', 'Disneyland', 'Zdeněk Miler', 'Fantasia', 'Three Little Wolves', 'The Pointer', "Santa's Workshop", 'Lady and the Tramp', 'Pete', "Orphan's Benefit", 'Diane Disney Miller', 'Ferdinand the Bull', 'The Mad Doctor', 'United States of America', "Pirates of the Caribbean: Dead Man's Chest", 'Disney Channel', 'Horace Horsecollar', 'Walt Disney', 'Sharon Mae Disney', "Pirates of the Caribbean: At World's End", "Donald's Vacation", 'Donalds Better Self', 'Winnie the Pooh and the Blustery Day'];
triple_list = [("Walt Disney" -> "Fantasia")[relation="film"], ("Sharon Mae Disney" -> "United States of America")[relation="nationality"], ("Walt Disney" -> "Orphan's Benefit")[relation="film"], ("Walt Disney" -> "Pete")[relation="fictional characters created"], ("Walt Disney" -> "Three Little Wolves")[relation="film"], ("Walt Disney" -> "Zdeněk Miler")[relation="influenced"], ("Walt Disney" -> "Santa's Workshop")[relation="film"], ("Walt Disney" -> "Pirates of the Caribbean: Dead Man's Chest")[relation="film story credits"], ("Walt Disney" -> "The Mad Doctor")[relation="film"], ("Walt Disney" -> "Lady and the Tramp")[relation="film"], ("Walt Disney" -> "English Language")[relation="languages"], ("Walt Disney" -> "Disney Channel")[relation="organizations founded"], ("Walt Disney" -> "Donald's Vacation")[relation="film"], ("Walt Disney" -> "Winnie the Pooh and the Blustery Day")[relation="film"], ("Walt Disney" -> "The Pointer")[relation="film"], ("Walt Disney" -> "Horace Horsecollar")[relation="fictional characters created"], ("Walt Disney" -> "Peter Pan")[relation="film"], ("Walt Disney" -> "Pirates of the Caribbean: At World's End")[relation="film story credits"], ("Walt Disney" -> "The Sword in the Stone")[relation="film"], ("Walt Disney" -> "Disneyland")[relation="namesakes"], ("Walt Disney" -> "So Dear to My Heart")[relation="film"], ("Walt Disney" -> "Diane Disney Miller")[relation="children"], ("Walt Disney" -> "Walt Disney Pictures")[relation="organizations founded"], ("Walt Disney" -> "Donalds Better Self")[relation="film"], ("Walt Disney" -> "Ferdinand the Bull")[relation="film"], ("Walt Disney" -> "Disney Princess Sing-Along Songs: Enchanted Tea Party")[relation="film"]];
}
``` | {
"node_list": [
"English Language",
"Walt Disney Pictures",
"Disney Princess Sing-Along Songs: Enchanted Tea Party",
"Peter Pan",
"The Sword in the Stone",
"So Dear to My Heart",
"Disneyland",
"Zdeněk Miler",
"Fantasia",
"Three Little Wolves",
"The Pointer",
"Santa's Workshop",
"Lady and the Tramp",
"Pete",
"Orphan's Benefit",
"Diane Disney Miller",
"Ferdinand the Bull",
"The Mad Doctor",
"United States of America",
"Pirates of the Caribbean: Dead Man's Chest",
"Disney Channel",
"Horace Horsecollar",
"Walt Disney",
"Sharon Mae Disney",
"Pirates of the Caribbean: At World's End",
"Donald's Vacation",
"Donalds Better Self",
"Winnie the Pooh and the Blustery Day"
],
"edge_list": [
[
"Walt Disney",
"film",
"Fantasia"
],
[
"Sharon Mae Disney",
"nationality",
"United States of America"
],
[
"Walt Disney",
"film",
"Orphan's Benefit"
],
[
"Walt Disney",
"fictional characters created",
"Pete"
],
[
"Walt Disney",
"film",
"Three Little Wolves"
],
[
"Walt Disney",
"influenced",
"Zdeněk Miler"
],
[
"Walt Disney",
"film",
"Santa's Workshop"
],
[
"Walt Disney",
"film story credits",
"Pirates of the Caribbean: Dead Man's Chest"
],
[
"Walt Disney",
"film",
"The Mad Doctor"
],
[
"Walt Disney",
"film",
"Lady and the Tramp"
],
[
"Walt Disney",
"languages",
"English Language"
],
[
"Walt Disney",
"organizations founded",
"Disney Channel"
],
[
"Walt Disney",
"film",
"Donald's Vacation"
],
[
"Walt Disney",
"film",
"Winnie the Pooh and the Blustery Day"
],
[
"Walt Disney",
"film",
"The Pointer"
],
[
"Walt Disney",
"fictional characters created",
"Horace Horsecollar"
],
[
"Walt Disney",
"film",
"Peter Pan"
],
[
"Walt Disney",
"film story credits",
"Pirates of the Caribbean: At World's End"
],
[
"Walt Disney",
"film",
"The Sword in the Stone"
],
[
"Walt Disney",
"namesakes",
"Disneyland"
],
[
"Walt Disney",
"film",
"So Dear to My Heart"
],
[
"Walt Disney",
"children",
"Diane Disney Miller"
],
[
"Walt Disney",
"organizations founded",
"Walt Disney Pictures"
],
[
"Walt Disney",
"film",
"Donalds Better Self"
],
[
"Walt Disney",
"film",
"Ferdinand the Bull"
],
[
"Walt Disney",
"film",
"Disney Princess Sing-Along Songs: Enchanted Tea Party"
]
]
} | [
"Based on the graph, we can find a reasoning path ('Walt Disney', 'children', 'Diane Disney Miller'), so the answer entity is \"Diane Disney Miller\"",
"Based on the graph, we can find a reasoning path ('Walt Disney', 'children', 'Diane Disney Miller'), so the answer entity is \"Sharon Mae Disney\""
] | [] | medium | WebQuestions |
graph-language-modeling-graph-question-answering-webquestions | 31 | You are a good graph reasoner. Give you a graph language that describes a graph structure and node information. You need to understand the graph and the task definition, and answer the question.
Note: (i <-> j) means that node i and node j are connected with an undirected edge. (i -> j) means that node i and node j are connected with a directed edge.
```
Graph[name="freebase-knowledge-base"] {
entity_list = ['Gavin Rossdale', 'Secret Agent on Soma FM', 'KUFO', 'Punk rock', 'Male', 'Songwriter', 'Post-grunge', 'Kilburn, London', 'Dave Parsons', 'Newport, Wales', 'Violin', 'Sophie @ 103.7 KSCF', 'Bush', 'Nigel Pulsford', 'Actor', 'Breeding Dinosaurs', 'NetWavz Radio', 'Date of birth', '181-buzz', 'KJAQ-FM', 'Radio.Wazee', 'MCA Records', 'Alternative rock', 'Chris Traynor', 'Grunge', 'Musician', 'United Kingdom'];
triple_list = [("Bush" -> "KUFO")[relation="content"], ("Bush" -> "Alternative rock")[relation="genre"], ("Dave Parsons" -> "Breeding Dinosaurs")[relation="tracks produced"], ("Gavin Rossdale" -> "Male")[relation="gender"], ("Gavin Rossdale" -> "NetWavz Radio")[relation="content"], ("Chris Traynor" -> "Musician")[relation="profession"], ("Nigel Pulsford" -> "Post-grunge")[relation="genre"], ("Bush" -> "KJAQ-FM")[relation="content"], ("Gavin Rossdale" -> "Post-grunge")[relation="genre"], ("Bush" -> "Secret Agent on Soma FM")[relation="content"], ("Bush" -> "Sophie @ 103.7 KSCF")[relation="content"], ("Dave Parsons" -> "Male")[relation="gender"], ("Chris Traynor" -> "Date of birth")[relation="is reviewed"], ("Bush" -> "Radio.Wazee")[relation="content"], ("Nigel Pulsford" -> "Violin")[relation="instruments played"], ("Dave Parsons" -> "MCA Records")[relation="label"], ("Nigel Pulsford" -> "United Kingdom")[relation="nationality"], ("Bush" -> "181-buzz")[relation="content"], ("Bush" -> "Punk rock")[relation="genre"], ("Gavin Rossdale" -> "Kilburn, London")[relation="place of birth"], ("Dave Parsons" -> "Punk rock")[relation="genre"], ("Nigel Pulsford" -> "Newport, Wales")[relation="place of birth"], ("Gavin Rossdale" -> "Songwriter")[relation="profession"], ("Chris Traynor" -> "Male")[relation="gender"], ("Dave Parsons" -> "Grunge")[relation="genre"], ("Gavin Rossdale" -> "Actor")[relation="profession"]];
}
```
Task definition: given a question and a corresponding knowledge graph, and find an entity in the graph and answer the question.
Q: who is in the band bush ?
A: | ```
Graph[name="freebase-knowledge-base"] {
entity_list = ['Gavin Rossdale', 'Secret Agent on Soma FM', 'KUFO', 'Punk rock', 'Male', 'Songwriter', 'Post-grunge', 'Kilburn, London', 'Dave Parsons', 'Newport, Wales', 'Violin', 'Sophie @ 103.7 KSCF', 'Bush', 'Nigel Pulsford', 'Actor', 'Breeding Dinosaurs', 'NetWavz Radio', 'Date of birth', '181-buzz', 'KJAQ-FM', 'Radio.Wazee', 'MCA Records', 'Alternative rock', 'Chris Traynor', 'Grunge', 'Musician', 'United Kingdom'];
triple_list = [("Bush" -> "KUFO")[relation="content"], ("Bush" -> "Alternative rock")[relation="genre"], ("Dave Parsons" -> "Breeding Dinosaurs")[relation="tracks produced"], ("Gavin Rossdale" -> "Male")[relation="gender"], ("Gavin Rossdale" -> "NetWavz Radio")[relation="content"], ("Chris Traynor" -> "Musician")[relation="profession"], ("Nigel Pulsford" -> "Post-grunge")[relation="genre"], ("Bush" -> "KJAQ-FM")[relation="content"], ("Gavin Rossdale" -> "Post-grunge")[relation="genre"], ("Bush" -> "Secret Agent on Soma FM")[relation="content"], ("Bush" -> "Sophie @ 103.7 KSCF")[relation="content"], ("Dave Parsons" -> "Male")[relation="gender"], ("Chris Traynor" -> "Date of birth")[relation="is reviewed"], ("Bush" -> "Radio.Wazee")[relation="content"], ("Nigel Pulsford" -> "Violin")[relation="instruments played"], ("Dave Parsons" -> "MCA Records")[relation="label"], ("Nigel Pulsford" -> "United Kingdom")[relation="nationality"], ("Bush" -> "181-buzz")[relation="content"], ("Bush" -> "Punk rock")[relation="genre"], ("Gavin Rossdale" -> "Kilburn, London")[relation="place of birth"], ("Dave Parsons" -> "Punk rock")[relation="genre"], ("Nigel Pulsford" -> "Newport, Wales")[relation="place of birth"], ("Gavin Rossdale" -> "Songwriter")[relation="profession"], ("Chris Traynor" -> "Male")[relation="gender"], ("Dave Parsons" -> "Grunge")[relation="genre"], ("Gavin Rossdale" -> "Actor")[relation="profession"]];
}
``` | {
"node_list": [
"Gavin Rossdale",
"Secret Agent on Soma FM",
"KUFO",
"Punk rock",
"Male",
"Songwriter",
"Post-grunge",
"Kilburn, London",
"Dave Parsons",
"Newport, Wales",
"Violin",
"Sophie @ 103.7 KSCF",
"Bush",
"Nigel Pulsford",
"Actor",
"Breeding Dinosaurs",
"NetWavz Radio",
"Date of birth",
"181-buzz",
"KJAQ-FM",
"Radio.Wazee",
"MCA Records",
"Alternative rock",
"Chris Traynor",
"Grunge",
"Musician",
"United Kingdom"
],
"edge_list": [
[
"Bush",
"content",
"KUFO"
],
[
"Bush",
"genre",
"Alternative rock"
],
[
"Dave Parsons",
"tracks produced",
"Breeding Dinosaurs"
],
[
"Gavin Rossdale",
"gender",
"Male"
],
[
"Gavin Rossdale",
"content",
"NetWavz Radio"
],
[
"Chris Traynor",
"profession",
"Musician"
],
[
"Nigel Pulsford",
"genre",
"Post-grunge"
],
[
"Bush",
"content",
"KJAQ-FM"
],
[
"Gavin Rossdale",
"genre",
"Post-grunge"
],
[
"Bush",
"content",
"Secret Agent on Soma FM"
],
[
"Bush",
"content",
"Sophie @ 103.7 KSCF"
],
[
"Dave Parsons",
"gender",
"Male"
],
[
"Chris Traynor",
"is reviewed",
"Date of birth"
],
[
"Bush",
"content",
"Radio.Wazee"
],
[
"Nigel Pulsford",
"instruments played",
"Violin"
],
[
"Dave Parsons",
"label",
"MCA Records"
],
[
"Nigel Pulsford",
"nationality",
"United Kingdom"
],
[
"Bush",
"content",
"181-buzz"
],
[
"Bush",
"genre",
"Punk rock"
],
[
"Gavin Rossdale",
"place of birth",
"Kilburn, London"
],
[
"Dave Parsons",
"genre",
"Punk rock"
],
[
"Nigel Pulsford",
"place of birth",
"Newport, Wales"
],
[
"Gavin Rossdale",
"profession",
"Songwriter"
],
[
"Chris Traynor",
"gender",
"Male"
],
[
"Dave Parsons",
"genre",
"Grunge"
],
[
"Gavin Rossdale",
"profession",
"Actor"
]
]
} | [
"I cannot answer the question directly. However, based on the world knowledge, the correct answer to the question is \"Nigel Pulsford\"",
"I cannot answer the question directly. However, based on the world knowledge, the correct answer to the question is \"Dave Parsons\"",
"I cannot answer the question directly. However, based on the world knowledge, the correct answer to the question is \"Chris Traynor\"",
"I cannot answer the question directly. However, based on the world knowledge, the correct answer to the question is \"Corey Britz\"",
"I cannot answer the question directly. However, based on the world knowledge, the correct answer to the question is \"Gavin Rossdale\"",
"I cannot answer the question directly. However, based on the world knowledge, the correct answer to the question is \"Robin Goodridge\""
] | [] | medium | WebQuestions |
graph-language-modeling-graph-question-answering-webquestions | 34 | You are a good graph reasoner. Give you a graph language that describes a graph structure and node information. You need to understand the graph and the task definition, and answer the question.
Note: (i <-> j) means that node i and node j are connected with an undirected edge. (i -> j) means that node i and node j are connected with a directed edge.
```
Graph[name="freebase-knowledge-base"] {
entity_list = ['Gender', 'Maggie Grace', 'Country of nationality', 'Actor', 'Worthington', 'English Language', 'Valinn Everett', 'Date of birth', 'Siblings', 'Parents', 'Place of birth', 'Female', 'United States of America', 'Rick Denig'];
triple_list = [("Maggie Grace" -> "Worthington")[relation="place of birth"], ("Maggie Grace" -> "English Language")[relation="languages"], ("Maggie Grace" -> "Female")[relation="gender"], ("Maggie Grace" -> "Valinn Everett")[relation="parents"], ("Maggie Grace" -> "Gender")[relation="is reviewed"], ("Maggie Grace" -> "Parents")[relation="is reviewed"], ("Maggie Grace" -> "Rick Denig")[relation="parents"], ("Maggie Grace" -> "Siblings")[relation="is reviewed"], ("Maggie Grace" -> "United States of America")[relation="nationality"], ("Maggie Grace" -> "Place of birth")[relation="is reviewed"], ("Maggie Grace" -> "Date of birth")[relation="is reviewed"], ("Maggie Grace" -> "Actor")[relation="profession"], ("Maggie Grace" -> "Country of nationality")[relation="is reviewed"]];
}
```
Task definition: given a question and a corresponding knowledge graph, and find an entity in the graph and answer the question.
Q: who does maggie grace play in taken ?
A: | ```
Graph[name="freebase-knowledge-base"] {
entity_list = ['Gender', 'Maggie Grace', 'Country of nationality', 'Actor', 'Worthington', 'English Language', 'Valinn Everett', 'Date of birth', 'Siblings', 'Parents', 'Place of birth', 'Female', 'United States of America', 'Rick Denig'];
triple_list = [("Maggie Grace" -> "Worthington")[relation="place of birth"], ("Maggie Grace" -> "English Language")[relation="languages"], ("Maggie Grace" -> "Female")[relation="gender"], ("Maggie Grace" -> "Valinn Everett")[relation="parents"], ("Maggie Grace" -> "Gender")[relation="is reviewed"], ("Maggie Grace" -> "Parents")[relation="is reviewed"], ("Maggie Grace" -> "Rick Denig")[relation="parents"], ("Maggie Grace" -> "Siblings")[relation="is reviewed"], ("Maggie Grace" -> "United States of America")[relation="nationality"], ("Maggie Grace" -> "Place of birth")[relation="is reviewed"], ("Maggie Grace" -> "Date of birth")[relation="is reviewed"], ("Maggie Grace" -> "Actor")[relation="profession"], ("Maggie Grace" -> "Country of nationality")[relation="is reviewed"]];
}
``` | {
"node_list": [
"Gender",
"Maggie Grace",
"Country of nationality",
"Actor",
"Worthington",
"English Language",
"Valinn Everett",
"Date of birth",
"Siblings",
"Parents",
"Place of birth",
"Female",
"United States of America",
"Rick Denig"
],
"edge_list": [
[
"Maggie Grace",
"place of birth",
"Worthington"
],
[
"Maggie Grace",
"languages",
"English Language"
],
[
"Maggie Grace",
"gender",
"Female"
],
[
"Maggie Grace",
"parents",
"Valinn Everett"
],
[
"Maggie Grace",
"is reviewed",
"Gender"
],
[
"Maggie Grace",
"is reviewed",
"Parents"
],
[
"Maggie Grace",
"parents",
"Rick Denig"
],
[
"Maggie Grace",
"is reviewed",
"Siblings"
],
[
"Maggie Grace",
"nationality",
"United States of America"
],
[
"Maggie Grace",
"is reviewed",
"Place of birth"
],
[
"Maggie Grace",
"is reviewed",
"Date of birth"
],
[
"Maggie Grace",
"profession",
"Actor"
],
[
"Maggie Grace",
"is reviewed",
"Country of nationality"
]
]
} | [
"I cannot answer the question directly. However, based on the world knowledge, the correct answer to the question is \"Kim\""
] | [] | medium | WebQuestions |
graph-language-modeling-graph-question-answering-webquestions | 36 | You are a good graph reasoner. Give you a graph language that describes a graph structure and node information. You need to understand the graph and the task definition, and answer the question.
Note: (i <-> j) means that node i and node j are connected with an undirected edge. (i -> j) means that node i and node j are connected with a directed edge.
```
Graph[name="freebase-knowledge-base"] {
entity_list = ['Philadelphia', 'Presenter', 'English Language', 'Donna Lawrence', 'Male', 'Record producer', 'Singer-songwriter', 'Joey Lawrence', 'Place of birth', 'Actor', 'Joseph Lawrence, Sr.', 'Date of birth', 'Official website', 'Pop music', 'United States of America', 'Country of nationality', 'Gender', 'Television producer', 'Dancing with the Stars - Season 3', 'Voice Actor', 'Edyta Śliwińska'];
triple_list = [("Joey Lawrence" -> "Singer-songwriter")[relation="profession"], ("Joey Lawrence" -> "Country of nationality")[relation="is reviewed"], ("Joey Lawrence" -> "Record producer")[relation="profession"], ("Joey Lawrence" -> "Voice Actor")[relation="profession"], ("Joey Lawrence" -> "English Language")[relation="languages"], ("Joey Lawrence" -> "United States of America")[relation="nationality"], ("Joey Lawrence" -> "Actor")[relation="profession"], ("Joey Lawrence" -> "Dancing with the Stars - Season 3")[relation="season on dwts"], ("Joey Lawrence" -> "Male")[relation="gender"], ("Joey Lawrence" -> "Official website")[relation="is reviewed"], ("Joey Lawrence" -> "Joseph Lawrence, Sr.")[relation="parents"], ("Joey Lawrence" -> "Place of birth")[relation="is reviewed"], ("Joey Lawrence" -> "Gender")[relation="is reviewed"], ("Joey Lawrence" -> "Pop music")[relation="genre"], ("Joey Lawrence" -> "Presenter")[relation="profession"], ("Joey Lawrence" -> "Date of birth")[relation="is reviewed"], ("Joey Lawrence" -> "Donna Lawrence")[relation="parents"], ("Joey Lawrence" -> "Philadelphia")[relation="place of birth"], ("Joey Lawrence" -> "Edyta Śliwińska")[relation="professional dance partner"], ("Joey Lawrence" -> "Television producer")[relation="profession"]];
}
```
Task definition: given a question and a corresponding knowledge graph, and find an entity in the graph and answer the question.
Q: what tv show did joey lawrence play on ?
A: | ```
Graph[name="freebase-knowledge-base"] {
entity_list = ['Philadelphia', 'Presenter', 'English Language', 'Donna Lawrence', 'Male', 'Record producer', 'Singer-songwriter', 'Joey Lawrence', 'Place of birth', 'Actor', 'Joseph Lawrence, Sr.', 'Date of birth', 'Official website', 'Pop music', 'United States of America', 'Country of nationality', 'Gender', 'Television producer', 'Dancing with the Stars - Season 3', 'Voice Actor', 'Edyta Śliwińska'];
triple_list = [("Joey Lawrence" -> "Singer-songwriter")[relation="profession"], ("Joey Lawrence" -> "Country of nationality")[relation="is reviewed"], ("Joey Lawrence" -> "Record producer")[relation="profession"], ("Joey Lawrence" -> "Voice Actor")[relation="profession"], ("Joey Lawrence" -> "English Language")[relation="languages"], ("Joey Lawrence" -> "United States of America")[relation="nationality"], ("Joey Lawrence" -> "Actor")[relation="profession"], ("Joey Lawrence" -> "Dancing with the Stars - Season 3")[relation="season on dwts"], ("Joey Lawrence" -> "Male")[relation="gender"], ("Joey Lawrence" -> "Official website")[relation="is reviewed"], ("Joey Lawrence" -> "Joseph Lawrence, Sr.")[relation="parents"], ("Joey Lawrence" -> "Place of birth")[relation="is reviewed"], ("Joey Lawrence" -> "Gender")[relation="is reviewed"], ("Joey Lawrence" -> "Pop music")[relation="genre"], ("Joey Lawrence" -> "Presenter")[relation="profession"], ("Joey Lawrence" -> "Date of birth")[relation="is reviewed"], ("Joey Lawrence" -> "Donna Lawrence")[relation="parents"], ("Joey Lawrence" -> "Philadelphia")[relation="place of birth"], ("Joey Lawrence" -> "Edyta Śliwińska")[relation="professional dance partner"], ("Joey Lawrence" -> "Television producer")[relation="profession"]];
}
``` | {
"node_list": [
"Philadelphia",
"Presenter",
"English Language",
"Donna Lawrence",
"Male",
"Record producer",
"Singer-songwriter",
"Joey Lawrence",
"Place of birth",
"Actor",
"Joseph Lawrence, Sr.",
"Date of birth",
"Official website",
"Pop music",
"United States of America",
"Country of nationality",
"Gender",
"Television producer",
"Dancing with the Stars - Season 3",
"Voice Actor",
"Edyta Śliwińska"
],
"edge_list": [
[
"Joey Lawrence",
"profession",
"Singer-songwriter"
],
[
"Joey Lawrence",
"is reviewed",
"Country of nationality"
],
[
"Joey Lawrence",
"profession",
"Record producer"
],
[
"Joey Lawrence",
"profession",
"Voice Actor"
],
[
"Joey Lawrence",
"languages",
"English Language"
],
[
"Joey Lawrence",
"nationality",
"United States of America"
],
[
"Joey Lawrence",
"profession",
"Actor"
],
[
"Joey Lawrence",
"season on dwts",
"Dancing with the Stars - Season 3"
],
[
"Joey Lawrence",
"gender",
"Male"
],
[
"Joey Lawrence",
"is reviewed",
"Official website"
],
[
"Joey Lawrence",
"parents",
"Joseph Lawrence, Sr."
],
[
"Joey Lawrence",
"is reviewed",
"Place of birth"
],
[
"Joey Lawrence",
"is reviewed",
"Gender"
],
[
"Joey Lawrence",
"genre",
"Pop music"
],
[
"Joey Lawrence",
"profession",
"Presenter"
],
[
"Joey Lawrence",
"is reviewed",
"Date of birth"
],
[
"Joey Lawrence",
"parents",
"Donna Lawrence"
],
[
"Joey Lawrence",
"place of birth",
"Philadelphia"
],
[
"Joey Lawrence",
"professional dance partner",
"Edyta Śliwińska"
],
[
"Joey Lawrence",
"profession",
"Television producer"
]
]
} | [
"I cannot answer the question directly. However, based on the world knowledge, the correct answer to the question is \"Melissa & Joey\"",
"I cannot answer the question directly. However, based on the world knowledge, the correct answer to the question is \"Bow\"",
"I cannot answer the question directly. However, based on the world knowledge, the correct answer to the question is \"Run of the House\"",
"I cannot answer the question directly. However, based on the world knowledge, the correct answer to the question is \"Gimme a Break!\"",
"I cannot answer the question directly. However, based on the world knowledge, the correct answer to the question is \"Blossom\"",
"I cannot answer the question directly. However, based on the world knowledge, the correct answer to the question is \"Brotherly Love\""
] | [] | medium | WebQuestions |
graph-language-modeling-graph-question-answering-webquestions | 39 | You are a good graph reasoner. Give you a graph language that describes a graph structure and node information. You need to understand the graph and the task definition, and answer the question.
Note: (i <-> j) means that node i and node j are connected with an undirected edge. (i -> j) means that node i and node j are connected with a directed edge.
```
Graph[name="freebase-knowledge-base"] {
entity_list = ['Kingdom of Aragon', 'Mercia', 'Denmark', 'New France', 'Spain', 'Sparta', 'Grand Duchy of Saxe-Weimar-Eisenach', 'Denmark–Norway', 'Hunnic Empire', 'Kingdom of Northumbria', 'Andorra', 'Luxembourg', 'Alo', 'Monarchy', 'Sigavé', 'Agis II', 'Sparta should be contained in some Greek prefecture.', 'Western Roman Empire', 'Cleomenes I', 'Wessex', 'Moldavia', 'County of Flanders', 'Grand Duchy of Tuscany', 'Guernsey'];
triple_list = [("Monarchy" -> "Kingdom of Northumbria")[relation="countries"], ("Monarchy" -> "Grand Duchy of Saxe-Weimar-Eisenach")[relation="countries"], ("Sparta" -> "Sparta should be contained in some Greek prefecture.")[relation="exceptions"], ("Sparta" -> "Sparta")[relation="namesakes"], ("Monarchy" -> "Andorra")[relation="countries"], ("Monarchy" -> "Denmark–Norway")[relation="countries"], ("Sparta" -> "Agis II")[relation="people born here"], ("Monarchy" -> "Moldavia")[relation="countries"], ("Monarchy" -> "Spain")[relation="countries"], ("Sparta" -> "Cleomenes I")[relation="people born here"], ("Monarchy" -> "Kingdom of Aragon")[relation="countries"], ("Monarchy" -> "Denmark")[relation="countries"], ("Monarchy" -> "Alo")[relation="countries"], ("Monarchy" -> "Sparta")[relation="countries"], ("Monarchy" -> "Guernsey")[relation="countries"], ("Sparta" -> "Sparta")[relation="namesakes"], ("Monarchy" -> "Sigavé")[relation="countries"], ("Monarchy" -> "Western Roman Empire")[relation="countries"], ("Monarchy" -> "Luxembourg")[relation="countries"], ("Monarchy" -> "Grand Duchy of Tuscany")[relation="countries"], ("Monarchy" -> "County of Flanders")[relation="countries"], ("Monarchy" -> "New France")[relation="countries"], ("Sparta" -> "Monarchy")[relation="form of government"], ("Monarchy" -> "Mercia")[relation="countries"], ("Monarchy" -> "Hunnic Empire")[relation="countries"], ("Monarchy" -> "Wessex")[relation="countries"]];
}
```
Task definition: given a question and a corresponding knowledge graph, and find an entity in the graph and answer the question.
Q: what form of government was practiced in sparta ?
A: | ```
Graph[name="freebase-knowledge-base"] {
entity_list = ['Kingdom of Aragon', 'Mercia', 'Denmark', 'New France', 'Spain', 'Sparta', 'Grand Duchy of Saxe-Weimar-Eisenach', 'Denmark–Norway', 'Hunnic Empire', 'Kingdom of Northumbria', 'Andorra', 'Luxembourg', 'Alo', 'Monarchy', 'Sigavé', 'Agis II', 'Sparta should be contained in some Greek prefecture.', 'Western Roman Empire', 'Cleomenes I', 'Wessex', 'Moldavia', 'County of Flanders', 'Grand Duchy of Tuscany', 'Guernsey'];
triple_list = [("Monarchy" -> "Kingdom of Northumbria")[relation="countries"], ("Monarchy" -> "Grand Duchy of Saxe-Weimar-Eisenach")[relation="countries"], ("Sparta" -> "Sparta should be contained in some Greek prefecture.")[relation="exceptions"], ("Sparta" -> "Sparta")[relation="namesakes"], ("Monarchy" -> "Andorra")[relation="countries"], ("Monarchy" -> "Denmark–Norway")[relation="countries"], ("Sparta" -> "Agis II")[relation="people born here"], ("Monarchy" -> "Moldavia")[relation="countries"], ("Monarchy" -> "Spain")[relation="countries"], ("Sparta" -> "Cleomenes I")[relation="people born here"], ("Monarchy" -> "Kingdom of Aragon")[relation="countries"], ("Monarchy" -> "Denmark")[relation="countries"], ("Monarchy" -> "Alo")[relation="countries"], ("Monarchy" -> "Sparta")[relation="countries"], ("Monarchy" -> "Guernsey")[relation="countries"], ("Sparta" -> "Sparta")[relation="namesakes"], ("Monarchy" -> "Sigavé")[relation="countries"], ("Monarchy" -> "Western Roman Empire")[relation="countries"], ("Monarchy" -> "Luxembourg")[relation="countries"], ("Monarchy" -> "Grand Duchy of Tuscany")[relation="countries"], ("Monarchy" -> "County of Flanders")[relation="countries"], ("Monarchy" -> "New France")[relation="countries"], ("Sparta" -> "Monarchy")[relation="form of government"], ("Monarchy" -> "Mercia")[relation="countries"], ("Monarchy" -> "Hunnic Empire")[relation="countries"], ("Monarchy" -> "Wessex")[relation="countries"]];
}
``` | {
"node_list": [
"Kingdom of Aragon",
"Mercia",
"Denmark",
"New France",
"Spain",
"Sparta",
"Grand Duchy of Saxe-Weimar-Eisenach",
"Denmark–Norway",
"Hunnic Empire",
"Kingdom of Northumbria",
"Andorra",
"Luxembourg",
"Alo",
"Monarchy",
"Sigavé",
"Agis II",
"Sparta should be contained in some Greek prefecture.",
"Western Roman Empire",
"Cleomenes I",
"Wessex",
"Moldavia",
"County of Flanders",
"Grand Duchy of Tuscany",
"Guernsey"
],
"edge_list": [
[
"Monarchy",
"countries",
"Kingdom of Northumbria"
],
[
"Monarchy",
"countries",
"Grand Duchy of Saxe-Weimar-Eisenach"
],
[
"Sparta",
"exceptions",
"Sparta should be contained in some Greek prefecture."
],
[
"Sparta",
"namesakes",
"Sparta"
],
[
"Monarchy",
"countries",
"Andorra"
],
[
"Monarchy",
"countries",
"Denmark–Norway"
],
[
"Sparta",
"people born here",
"Agis II"
],
[
"Monarchy",
"countries",
"Moldavia"
],
[
"Monarchy",
"countries",
"Spain"
],
[
"Sparta",
"people born here",
"Cleomenes I"
],
[
"Monarchy",
"countries",
"Kingdom of Aragon"
],
[
"Monarchy",
"countries",
"Denmark"
],
[
"Monarchy",
"countries",
"Alo"
],
[
"Monarchy",
"countries",
"Sparta"
],
[
"Monarchy",
"countries",
"Guernsey"
],
[
"Sparta",
"namesakes",
"Sparta"
],
[
"Monarchy",
"countries",
"Sigavé"
],
[
"Monarchy",
"countries",
"Western Roman Empire"
],
[
"Monarchy",
"countries",
"Luxembourg"
],
[
"Monarchy",
"countries",
"Grand Duchy of Tuscany"
],
[
"Monarchy",
"countries",
"County of Flanders"
],
[
"Monarchy",
"countries",
"New France"
],
[
"Sparta",
"form of government",
"Monarchy"
],
[
"Monarchy",
"countries",
"Mercia"
],
[
"Monarchy",
"countries",
"Hunnic Empire"
],
[
"Monarchy",
"countries",
"Wessex"
]
]
} | [
"Based on the graph, we can find a reasoning path ('Sparta', 'form of government', 'Monarchy'), so the answer entity is \"Aristocracy\"",
"Based on the graph, we can find a reasoning path ('Sparta', 'form of government', 'Monarchy'), so the answer entity is \"Monarchy\"",
"Based on the graph, we can find a reasoning path ('Sparta', 'form of government', 'Monarchy'), so the answer entity is \"Diarchy\""
] | [] | medium | WebQuestions |
graph-language-modeling-graph-question-answering-webquestions | 40 | You are a good graph reasoner. Give you a graph language that describes a graph structure and node information. You need to understand the graph and the task definition, and answer the question.
Note: (i <-> j) means that node i and node j are connected with an undirected edge. (i -> j) means that node i and node j are connected with a directed edge.
```
Graph[name="freebase-knowledge-base"] {
entity_list = ['Jonathan Benson', 'E. C. Bentley', 'Larry Burrows', 'Westminster Abbey', 'Henry Vollam Morton', 'Eddie Thompson', 'Phil Manzanera', 'John C. Clifton', 'Alfred Shaughnessy', 'Alan Chivers', 'Nicola Ransom', 'Tommy Ord', 'Maurice Cowling', 'Benjamin Walker', 'Paul A. Kaufman', 'Bertram Frank Dean', 'Thomas Hardwick', 'Astley Cooper Key', 'London', 'Anglicanism', 'James Butler', '2004 UK Jewish Film Festival', 'John Israel Montefiore', '2007 Birds Eye View Film Festival', 'Julie Homi', 'Avina Shah', 'Olly Morgan', "St Paul's Cathedral", 'Barbican Centre', "Dani O'Neal"];
triple_list = [("London" -> "Larry Burrows")[relation="people born here"], ("London" -> "Alan Chivers")[relation="people born here"], ("London" -> "Nicola Ransom")[relation="people born here"], ("London" -> "Julie Homi")[relation="people born here"], ("London" -> "Benjamin Walker")[relation="people born here"], ("London" -> "John C. Clifton")[relation="people born here"], ("London" -> "E. C. Bentley")[relation="people born here"], ("London" -> "2004 UK Jewish Film Festival")[relation="events"], ("London" -> "Astley Cooper Key")[relation="people born here"], ("London" -> "Olly Morgan")[relation="people born here"], ("London" -> "Tommy Ord")[relation="people born here"], ("London" -> "James Butler")[relation="people born here"], ("London" -> "Paul A. Kaufman")[relation="people born here"], ("London" -> "Bertram Frank Dean")[relation="people born here"], ("London" -> "Phil Manzanera")[relation="people born here"], ("Barbican Centre" -> "2007 Birds Eye View Film Festival")[relation="events"], ("London" -> "Dani O'Neal")[relation="people born here"], ("St Paul's Cathedral" -> "Henry Vollam Morton")[relation="interred here"], ("London" -> "John Israel Montefiore")[relation="people born here"], ("London" -> "Jonathan Benson")[relation="people born here"], ("London" -> "Thomas Hardwick")[relation="people born here"], ("London" -> "Maurice Cowling")[relation="people born here"], ("London" -> "Alfred Shaughnessy")[relation="people born here"], ("London" -> "Avina Shah")[relation="people born here"], ("Westminster Abbey" -> "Anglicanism")[relation="religion"], ("London" -> "Eddie Thompson")[relation="people born here"]];
}
```
Task definition: given a question and a corresponding knowledge graph, and find an entity in the graph and answer the question.
Q: where to go in london england ?
A: | ```
Graph[name="freebase-knowledge-base"] {
entity_list = ['Jonathan Benson', 'E. C. Bentley', 'Larry Burrows', 'Westminster Abbey', 'Henry Vollam Morton', 'Eddie Thompson', 'Phil Manzanera', 'John C. Clifton', 'Alfred Shaughnessy', 'Alan Chivers', 'Nicola Ransom', 'Tommy Ord', 'Maurice Cowling', 'Benjamin Walker', 'Paul A. Kaufman', 'Bertram Frank Dean', 'Thomas Hardwick', 'Astley Cooper Key', 'London', 'Anglicanism', 'James Butler', '2004 UK Jewish Film Festival', 'John Israel Montefiore', '2007 Birds Eye View Film Festival', 'Julie Homi', 'Avina Shah', 'Olly Morgan', "St Paul's Cathedral", 'Barbican Centre', "Dani O'Neal"];
triple_list = [("London" -> "Larry Burrows")[relation="people born here"], ("London" -> "Alan Chivers")[relation="people born here"], ("London" -> "Nicola Ransom")[relation="people born here"], ("London" -> "Julie Homi")[relation="people born here"], ("London" -> "Benjamin Walker")[relation="people born here"], ("London" -> "John C. Clifton")[relation="people born here"], ("London" -> "E. C. Bentley")[relation="people born here"], ("London" -> "2004 UK Jewish Film Festival")[relation="events"], ("London" -> "Astley Cooper Key")[relation="people born here"], ("London" -> "Olly Morgan")[relation="people born here"], ("London" -> "Tommy Ord")[relation="people born here"], ("London" -> "James Butler")[relation="people born here"], ("London" -> "Paul A. Kaufman")[relation="people born here"], ("London" -> "Bertram Frank Dean")[relation="people born here"], ("London" -> "Phil Manzanera")[relation="people born here"], ("Barbican Centre" -> "2007 Birds Eye View Film Festival")[relation="events"], ("London" -> "Dani O'Neal")[relation="people born here"], ("St Paul's Cathedral" -> "Henry Vollam Morton")[relation="interred here"], ("London" -> "John Israel Montefiore")[relation="people born here"], ("London" -> "Jonathan Benson")[relation="people born here"], ("London" -> "Thomas Hardwick")[relation="people born here"], ("London" -> "Maurice Cowling")[relation="people born here"], ("London" -> "Alfred Shaughnessy")[relation="people born here"], ("London" -> "Avina Shah")[relation="people born here"], ("Westminster Abbey" -> "Anglicanism")[relation="religion"], ("London" -> "Eddie Thompson")[relation="people born here"]];
}
``` | {
"node_list": [
"Jonathan Benson",
"E. C. Bentley",
"Larry Burrows",
"Westminster Abbey",
"Henry Vollam Morton",
"Eddie Thompson",
"Phil Manzanera",
"John C. Clifton",
"Alfred Shaughnessy",
"Alan Chivers",
"Nicola Ransom",
"Tommy Ord",
"Maurice Cowling",
"Benjamin Walker",
"Paul A. Kaufman",
"Bertram Frank Dean",
"Thomas Hardwick",
"Astley Cooper Key",
"London",
"Anglicanism",
"James Butler",
"2004 UK Jewish Film Festival",
"John Israel Montefiore",
"2007 Birds Eye View Film Festival",
"Julie Homi",
"Avina Shah",
"Olly Morgan",
"St Paul's Cathedral",
"Barbican Centre",
"Dani O'Neal"
],
"edge_list": [
[
"London",
"people born here",
"Larry Burrows"
],
[
"London",
"people born here",
"Alan Chivers"
],
[
"London",
"people born here",
"Nicola Ransom"
],
[
"London",
"people born here",
"Julie Homi"
],
[
"London",
"people born here",
"Benjamin Walker"
],
[
"London",
"people born here",
"John C. Clifton"
],
[
"London",
"people born here",
"E. C. Bentley"
],
[
"London",
"events",
"2004 UK Jewish Film Festival"
],
[
"London",
"people born here",
"Astley Cooper Key"
],
[
"London",
"people born here",
"Olly Morgan"
],
[
"London",
"people born here",
"Tommy Ord"
],
[
"London",
"people born here",
"James Butler"
],
[
"London",
"people born here",
"Paul A. Kaufman"
],
[
"London",
"people born here",
"Bertram Frank Dean"
],
[
"London",
"people born here",
"Phil Manzanera"
],
[
"Barbican Centre",
"events",
"2007 Birds Eye View Film Festival"
],
[
"London",
"people born here",
"Dani O'Neal"
],
[
"St Paul's Cathedral",
"interred here",
"Henry Vollam Morton"
],
[
"London",
"people born here",
"John Israel Montefiore"
],
[
"London",
"people born here",
"Jonathan Benson"
],
[
"London",
"people born here",
"Thomas Hardwick"
],
[
"London",
"people born here",
"Maurice Cowling"
],
[
"London",
"people born here",
"Alfred Shaughnessy"
],
[
"London",
"people born here",
"Avina Shah"
],
[
"Westminster Abbey",
"religion",
"Anglicanism"
],
[
"London",
"people born here",
"Eddie Thompson"
]
]
} | [
"Based on the graph, we can find a reasoning path ('London', 'tourist attractions', \"Regent's Park\"), so the answer entity is \"Leighton House Museum\"",
"Based on the graph, we can find a reasoning path ('London', 'tourist attractions', \"Regent's Park\"), so the answer entity is \"Chessington World of Adventures\"",
"Based on the graph, we can find a reasoning path ('London', 'tourist attractions', \"Regent's Park\"), so the answer entity is \"British Museum Reading Room\"",
"Based on the graph, we can find a reasoning path ('London', 'tourist attractions', \"Regent's Park\"), so the answer entity is \"Trafalgar Square\"",
"Based on the graph, we can find a reasoning path ('London', 'tourist attractions', \"Regent's Park\"), so the answer entity is \"Wellcome Collection\"",
"Based on the graph, we can find a reasoning path ('London', 'tourist attractions', \"Regent's Park\"), so the answer entity is \"University of London\"",
"Based on the graph, we can find a reasoning path ('London', 'tourist attractions', \"Regent's Park\"), so the answer entity is \"London Palladium\"",
"Based on the graph, we can find a reasoning path ('London', 'tourist attractions', \"Regent's Park\"), so the answer entity is \"Palace of Westminster\"",
"Based on the graph, we can find a reasoning path ('London', 'tourist attractions', \"Regent's Park\"), so the answer entity is \"Duke of York's Headquarters\"",
"Based on the graph, we can find a reasoning path ('London', 'tourist attractions', \"Regent's Park\"), so the answer entity is \"London Marathon\"",
"Based on the graph, we can find a reasoning path ('London', 'tourist attractions', \"Regent's Park\"), so the answer entity is \"Polish Institute and Sikorski Museum\"",
"Based on the graph, we can find a reasoning path ('London', 'tourist attractions', \"Regent's Park\"), so the answer entity is \"London Underground\"",
"Based on the graph, we can find a reasoning path ('London', 'tourist attractions', \"Regent's Park\"), so the answer entity is \"Bank of England Museum\"",
"Based on the graph, we can find a reasoning path ('London', 'tourist attractions', \"Regent's Park\"), so the answer entity is \"National Maritime Museum\"",
"Based on the graph, we can find a reasoning path ('London', 'tourist attractions', \"Regent's Park\"), so the answer entity is \"Buckingham Palace\"",
"Based on the graph, we can find a reasoning path ('London', 'tourist attractions', \"Regent's Park\"), so the answer entity is \"Royal Albert Hall, London\"",
"Based on the graph, we can find a reasoning path ('London', 'tourist attractions', \"Regent's Park\"), so the answer entity is \"Tate Modern, London\"",
"Based on the graph, we can find a reasoning path ('London', 'tourist attractions', \"Regent's Park\"), so the answer entity is \"Euston railway station\"",
"Based on the graph, we can find a reasoning path ('London', 'tourist attractions', \"Regent's Park\"), so the answer entity is \"Tower Bridge\"",
"Based on the graph, we can find a reasoning path ('London', 'tourist attractions', \"Regent's Park\"), so the answer entity is \"The Clink\"",
"Based on the graph, we can find a reasoning path ('London', 'tourist attractions', \"Regent's Park\"), so the answer entity is \"National Portrait Gallery, London\"",
"Based on the graph, we can find a reasoning path ('London', 'tourist attractions', \"Regent's Park\"), so the answer entity is \"National Police Memorial\"",
"Based on the graph, we can find a reasoning path ('London', 'tourist attractions', \"Regent's Park\"), so the answer entity is \"Central London\"",
"Based on the graph, we can find a reasoning path ('London', 'tourist attractions', \"Regent's Park\"), so the answer entity is \"V&A Museum of Childhood\"",
"Based on the graph, we can find a reasoning path ('London', 'tourist attractions', \"Regent's Park\"), so the answer entity is \"Liverpool Street station\"",
"Based on the graph, we can find a reasoning path ('London', 'tourist attractions', \"Regent's Park\"), so the answer entity is \"St. James's Park\"",
"Based on the graph, we can find a reasoning path ('London', 'tourist attractions', \"Regent's Park\"), so the answer entity is \"Queen's House\"",
"Based on the graph, we can find a reasoning path ('London', 'tourist attractions', \"Regent's Park\"), so the answer entity is \"London Jewish Museum\"",
"Based on the graph, we can find a reasoning path ('London', 'tourist attractions', \"Regent's Park\"), so the answer entity is \"Museum of London\"",
"Based on the graph, we can find a reasoning path ('London', 'tourist attractions', \"Regent's Park\"), so the answer entity is \"Strand, London\"",
"Based on the graph, we can find a reasoning path ('London', 'tourist attractions', \"Regent's Park\"), so the answer entity is \"Olympia, London\"",
"Based on the graph, we can find a reasoning path ('London', 'tourist attractions', \"Regent's Park\"), so the answer entity is \"London School of Economics\"",
"Based on the graph, we can find a reasoning path ('London', 'tourist attractions', \"Regent's Park\"), so the answer entity is \"London Paddington station\"",
"Based on the graph, we can find a reasoning path ('London', 'tourist attractions', \"Regent's Park\"), so the answer entity is \"Holloway\"",
"Based on the graph, we can find a reasoning path ('London', 'tourist attractions', \"Regent's Park\"), so the answer entity is \"Diana, Princess of Wales Memorial Fountain\"",
"Based on the graph, we can find a reasoning path ('London', 'tourist attractions', \"Regent's Park\"), so the answer entity is \"London Victoria station\"",
"Based on the graph, we can find a reasoning path ('London', 'tourist attractions', \"Regent's Park\"), so the answer entity is \"London Eye\"",
"Based on the graph, we can find a reasoning path ('London', 'tourist attractions', \"Regent's Park\"), so the answer entity is \"University College London\"",
"Based on the graph, we can find a reasoning path ('London', 'tourist attractions', \"Regent's Park\"), so the answer entity is \"Imperial College London\"",
"Based on the graph, we can find a reasoning path ('London', 'tourist attractions', \"Regent's Park\"), so the answer entity is \"St Paul's Cathedral\"",
"Based on the graph, we can find a reasoning path ('London', 'tourist attractions', \"Regent's Park\"), so the answer entity is \"Newington, London\"",
"Based on the graph, we can find a reasoning path ('London', 'tourist attractions', \"Regent's Park\"), so the answer entity is \"Barbican Centre\"",
"Based on the graph, we can find a reasoning path ('London', 'tourist attractions', \"Regent's Park\"), so the answer entity is \"London Bridge\"",
"Based on the graph, we can find a reasoning path ('London', 'tourist attractions', \"Regent's Park\"), so the answer entity is \"City University London\"",
"Based on the graph, we can find a reasoning path ('London', 'tourist attractions', \"Regent's Park\"), so the answer entity is \"Whetstone, London\"",
"Based on the graph, we can find a reasoning path ('London', 'tourist attractions', \"Regent's Park\"), so the answer entity is \"London Wasps\"",
"Based on the graph, we can find a reasoning path ('London', 'tourist attractions', \"Regent's Park\"), so the answer entity is \"Westminster Abbey\"",
"Based on the graph, we can find a reasoning path ('London', 'tourist attractions', \"Regent's Park\"), so the answer entity is \"Royal Institution\"",
"Based on the graph, we can find a reasoning path ('London', 'tourist attractions', \"Regent's Park\"), so the answer entity is \"Apsley House\"",
"Based on the graph, we can find a reasoning path ('London', 'tourist attractions', \"Regent's Park\"), so the answer entity is \"Regent's Park\"",
"Based on the graph, we can find a reasoning path ('London', 'tourist attractions', \"Regent's Park\"), so the answer entity is \"Earls Court Exhibition Centre\"",
"Based on the graph, we can find a reasoning path ('London', 'tourist attractions', \"Regent's Park\"), so the answer entity is \"Design Museum\"",
"Based on the graph, we can find a reasoning path ('London', 'tourist attractions', \"Regent's Park\"), so the answer entity is \"Hyde Park\"",
"Based on the graph, we can find a reasoning path ('London', 'tourist attractions', \"Regent's Park\"), so the answer entity is \"Hippodrome, London\"",
"Based on the graph, we can find a reasoning path ('London', 'tourist attractions', \"Regent's Park\"), so the answer entity is \"Wallington, London\"",
"Based on the graph, we can find a reasoning path ('London', 'tourist attractions', \"Regent's Park\"), so the answer entity is \"Natural History Museum\"",
"Based on the graph, we can find a reasoning path ('London', 'tourist attractions', \"Regent's Park\"), so the answer entity is \"Serpentine Gallery\"",
"Based on the graph, we can find a reasoning path ('London', 'tourist attractions', \"Regent's Park\"), so the answer entity is \"Smithfield, London\"",
"Based on the graph, we can find a reasoning path ('London', 'tourist attractions', \"Regent's Park\"), so the answer entity is \"Tower of London\"",
"Based on the graph, we can find a reasoning path ('London', 'tourist attractions', \"Regent's Park\"), so the answer entity is \"Sir John Soane's Museum\"",
"Based on the graph, we can find a reasoning path ('London', 'tourist attractions', \"Regent's Park\"), so the answer entity is \"Victoria and Albert Museum\"",
"Based on the graph, we can find a reasoning path ('London', 'tourist attractions', \"Regent's Park\"), so the answer entity is \"Southgate, London\"",
"Based on the graph, we can find a reasoning path ('London', 'tourist attractions', \"Regent's Park\"), so the answer entity is \"Madame Tussauds London\"",
"Based on the graph, we can find a reasoning path ('London', 'tourist attractions', \"Regent's Park\"), so the answer entity is \"Wallace Collection\"",
"Based on the graph, we can find a reasoning path ('London', 'tourist attractions', \"Regent's Park\"), so the answer entity is \"Horniman Museum and Gardens\"",
"Based on the graph, we can find a reasoning path ('London', 'tourist attractions', \"Regent's Park\"), so the answer entity is \"British Museum\"",
"Based on the graph, we can find a reasoning path ('London', 'tourist attractions', \"Regent's Park\"), so the answer entity is \"Museum of London Docklands\"",
"Based on the graph, we can find a reasoning path ('London', 'tourist attractions', \"Regent's Park\"), so the answer entity is \"London Charterhouse\"",
"Based on the graph, we can find a reasoning path ('London', 'tourist attractions', \"Regent's Park\"), so the answer entity is \"Wimbledon, London\"",
"Based on the graph, we can find a reasoning path ('London', 'tourist attractions', \"Regent's Park\"), so the answer entity is \"Big Ben\"",
"Based on the graph, we can find a reasoning path ('London', 'tourist attractions', \"Regent's Park\"), so the answer entity is \"Tate Gallery, Britain\""
] | [] | medium | WebQuestions |
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