category stringclasses 10
values | size int32 1 7 | eid stringclasses 323
values | original_triple_sets sequence | modified_triple_sets sequence | shape stringclasses 1
value | shape_type stringclasses 1
value | lex sequence | template_name stringclasses 4
values | template stringclasses 4
values | rendered_input stringlengths 76 929 | rendered_output stringlengths 20 445 |
|---|---|---|---|---|---|---|---|---|---|---|---|
Airport | 1 | Id1 | {
"otriple_set": [
[
"Aarhus_Airport | cityServed | \"Aarhus, Denmark\"@en"
]
]
} | {
"mtriple_set": [
[
"Aarhus_Airport | cityServed | \"Aarhus, Denmark\""
]
]
} | {
"comment": [
"good",
"good"
],
"lid": [
"Id1",
"Id2"
],
"text": [
"The Aarhus is the airport of Aarhus, Denmark.",
"Aarhus Airport serves the city of Aarhus, Denmark."
],
"template": [
"AGENT-1 is the airport of PATIENT-1 .",
"AGENT-1 serves the city of PATIENT-1 ."
],
... | Explicit Graph Description | Take the following graph comprising triple sets, where each element of a triple is separated by "|" and each triple set by ",": {{modified_triple_sets.mtriple_set[0] | join(", ")}}. Make a verbalization of the triple set into plain text. ||| {{lex.text | choice}} | Take the following graph comprising triple sets, where each element of a triple is separated by "|" and each triple set by ",": Aarhus_Airport | cityServed | "Aarhus, Denmark". Make a verbalization of the triple set into plain text. | Aarhus Airport serves the city of Aarhus, Denmark. | ||
Airport | 1 | Id2 | {
"otriple_set": [
[
"Aarhus_Airport | city | Aarhus"
]
]
} | {
"mtriple_set": [
[
"Aarhus_Airport | cityServed | Aarhus"
]
]
} | {
"comment": [
"good"
],
"lid": [
"Id1"
],
"text": [
"Aarhus airport serves the city of Aarhus."
],
"template": [
"AGENT-1 serves the city of PATIENT-1 ."
],
"sorted_triple_sets": [
[
"Aarhus_Airport | cityServed | Aarhus"
]
],
"lexicalization": [
"AGENT-1 VP[aspe... | Explicit Graph Description | Take the following graph comprising triple sets, where each element of a triple is separated by "|" and each triple set by ",": {{modified_triple_sets.mtriple_set[0] | join(", ")}}. Make a verbalization of the triple set into plain text. ||| {{lex.text | choice}} | Take the following graph comprising triple sets, where each element of a triple is separated by "|" and each triple set by ",": Aarhus_Airport | cityServed | Aarhus. Make a verbalization of the triple set into plain text. | Aarhus airport serves the city of Aarhus. | ||
Airport | 1 | Id3 | {
"otriple_set": [
[
"Aarhus_Airport | elevation | \"25.0\"^^xsd:double"
]
]
} | {
"mtriple_set": [
[
"Aarhus_Airport | elevationAboveTheSeaLevel_(in_metres) | 25.0"
]
]
} | {
"comment": [
"good",
"good",
"good"
],
"lid": [
"Id1",
"Id2",
"Id3"
],
"text": [
"Aarhus Airport is 25 metres above sea level.",
"Aarhus airport is at an elevation of 25 metres above seal level.",
"Aarhus Airport is 25.0 metres above the sea level."
],
"template": [
... | Explicit Graph Description | Take the following graph comprising triple sets, where each element of a triple is separated by "|" and each triple set by ",": {{modified_triple_sets.mtriple_set[0] | join(", ")}}. Make a verbalization of the triple set into plain text. ||| {{lex.text | choice}} | Take the following graph comprising triple sets, where each element of a triple is separated by "|" and each triple set by ",": Aarhus_Airport | elevationAboveTheSeaLevel_(in_metres) | 25.0. Make a verbalization of the triple set into plain text. | Aarhus Airport is 25.0 metres above the sea level. | ||
Airport | 1 | Id4 | {
"otriple_set": [
[
"Aarhus_Airport | location | Tirstrup"
]
]
} | {
"mtriple_set": [
[
"Aarhus_Airport | location | Tirstrup"
]
]
} | {
"comment": [
"good",
"good"
],
"lid": [
"Id1",
"Id2"
],
"text": [
"Aarhus Airport is located in Tirstrup.",
"The location of Aarhus Airport is Tirstrup."
],
"template": [
"AGENT-1 is located in PATIENT-1 .",
"The location of AGENT-1 is PATIENT-1 ."
],
"sorted_triple_s... | Explicit Graph Description | Take the following graph comprising triple sets, where each element of a triple is separated by "|" and each triple set by ",": {{modified_triple_sets.mtriple_set[0] | join(", ")}}. Make a verbalization of the triple set into plain text. ||| {{lex.text | choice}} | Take the following graph comprising triple sets, where each element of a triple is separated by "|" and each triple set by ",": Aarhus_Airport | location | Tirstrup. Make a verbalization of the triple set into plain text. | Aarhus Airport is located in Tirstrup. | ||
Airport | 1 | Id5 | {
"otriple_set": [
[
"Aarhus_Airport | operator | \"Aarhus Lufthavn A/S\"@en"
]
]
} | {
"mtriple_set": [
[
"Aarhus_Airport | operatingOrganisation | \"Aarhus Lufthavn A/S\""
]
]
} | {
"comment": [
"good",
"good"
],
"lid": [
"Id1",
"Id2"
],
"text": [
"Aarhus Airport is operated by Aarhus Lufthavn A/S.",
"Aarhus Lufthavn A/S is the operation organisation of Aarhus Airport."
],
"template": [
"AGENT-1 is operated by PATIENT-1 .",
"PATIENT-1 is the operatio... | Explicit Graph Description | Take the following graph comprising triple sets, where each element of a triple is separated by "|" and each triple set by ",": {{modified_triple_sets.mtriple_set[0] | join(", ")}}. Make a verbalization of the triple set into plain text. ||| {{lex.text | choice}} | Take the following graph comprising triple sets, where each element of a triple is separated by "|" and each triple set by ",": Aarhus_Airport | operatingOrganisation | "Aarhus Lufthavn A/S". Make a verbalization of the triple set into plain text. | Aarhus Lufthavn A/S is the operation organisation of Aarhus Airport. | ||
Airport | 1 | Id6 | {
"otriple_set": [
[
"Aarhus_Airport | operator | Aktieselskab"
]
]
} | {
"mtriple_set": [
[
"Aarhus_Airport | operatingOrganisation | Aktieselskab"
]
]
} | {
"comment": [
"good",
"good",
"good"
],
"lid": [
"Id1",
"Id2",
"Id3"
],
"text": [
"Aktieselskab is the operating organisation for Aarhus Airport.",
"Aktieselskab operates Aarhus Airport.",
"Aarhus Airport is operated by the Aktieselkab organisation."
],
"template": [
... | Explicit Graph Description | Take the following graph comprising triple sets, where each element of a triple is separated by "|" and each triple set by ",": {{modified_triple_sets.mtriple_set[0] | join(", ")}}. Make a verbalization of the triple set into plain text. ||| {{lex.text | choice}} | Take the following graph comprising triple sets, where each element of a triple is separated by "|" and each triple set by ",": Aarhus_Airport | operatingOrganisation | Aktieselskab. Make a verbalization of the triple set into plain text. | Aktieselskab is the operating organisation for Aarhus Airport. | ||
Airport | 1 | Id7 | {
"otriple_set": [
[
"Aarhus_Airport | runwayLength | \"2776.73\"^^xsd:double"
]
]
} | {
"mtriple_set": [
[
"Aarhus_Airport | runwayLength | 2776.0"
]
]
} | {
"comment": [
"good",
"good",
"good"
],
"lid": [
"Id1",
"Id2",
"Id3"
],
"text": [
"Aarhus Airport runway length is 2776.0.",
"Aarhus Airport has a runway length of 2776.0.",
"The length of the runway at Aarhus Airport is 2776.0."
],
"template": [
"AGENT-1 runway le... | Explicit Graph Description | Take the following graph comprising triple sets, where each element of a triple is separated by "|" and each triple set by ",": {{modified_triple_sets.mtriple_set[0] | join(", ")}}. Make a verbalization of the triple set into plain text. ||| {{lex.text | choice}} | Take the following graph comprising triple sets, where each element of a triple is separated by "|" and each triple set by ",": Aarhus_Airport | runwayLength | 2776.0. Make a verbalization of the triple set into plain text. | The length of the runway at Aarhus Airport is 2776.0. | ||
Airport | 1 | Id8 | {
"otriple_set": [
[
"Aarhus_Airport | runwayLength | \"2777.0\"^^xsd:double"
]
]
} | {
"mtriple_set": [
[
"Aarhus_Airport | runwayLength | 2777.0"
]
]
} | {
"comment": [
"good",
"good"
],
"lid": [
"Id1",
"Id2"
],
"text": [
"The runway length at Aarhus Airport is 2777.0 meters.",
"The runway length at Aarhus airport is 2777.0."
],
"template": [
"The runway length at AGENT-1 is PATIENT-1 meters .",
"The runway length at AGENT-1... | Explicit Graph Description | Take the following graph comprising triple sets, where each element of a triple is separated by "|" and each triple set by ",": {{modified_triple_sets.mtriple_set[0] | join(", ")}}. Make a verbalization of the triple set into plain text. ||| {{lex.text | choice}} | Take the following graph comprising triple sets, where each element of a triple is separated by "|" and each triple set by ",": Aarhus_Airport | runwayLength | 2777.0. Make a verbalization of the triple set into plain text. | The runway length at Aarhus airport is 2777.0. | ||
Airport | 1 | Id9 | {
"otriple_set": [
[
"Aarhus_Airport | runwayDesignation | \"10L/28R\""
]
]
} | {
"mtriple_set": [
[
"Aarhus_Airport | runwayName | \"10L/28R\""
]
]
} | {
"comment": [
"good",
"good",
"good"
],
"lid": [
"Id1",
"Id2",
"Id3"
],
"text": [
"Aarhus Airport runway name is 10L/28R.",
"10L/28R is the runway name of the Aarhus Airport.",
"The runway name of Aarhus Airport is 10L/28R."
],
"template": [
"AGENT-1 runway name is... | Explicit Graph Description | Take the following graph comprising triple sets, where each element of a triple is separated by "|" and each triple set by ",": {{modified_triple_sets.mtriple_set[0] | join(", ")}}. Make a verbalization of the triple set into plain text. ||| {{lex.text | choice}} | Take the following graph comprising triple sets, where each element of a triple is separated by "|" and each triple set by ",": Aarhus_Airport | runwayName | "10L/28R". Make a verbalization of the triple set into plain text. | The runway name of Aarhus Airport is 10L/28R. | ||
Airport | 1 | Id10 | {
"otriple_set": [
[
"Aarhus_Airport | runwayDesignation | \"10R/28L\""
]
]
} | {
"mtriple_set": [
[
"Aarhus_Airport | runwayName | \"10R/28L\""
]
]
} | {
"comment": [
"good",
"good",
"good"
],
"lid": [
"Id1",
"Id2",
"Id3"
],
"text": [
"The runway name at Aarhus Airport is \"10R/28L\".",
"10R/28L is the runway name at Aarhus airport,.",
"The runway name of Aarhus Airport is 10R/28L."
],
"template": [
"The runway nam... | Explicit Graph Description | Take the following graph comprising triple sets, where each element of a triple is separated by "|" and each triple set by ",": {{modified_triple_sets.mtriple_set[0] | join(", ")}}. Make a verbalization of the triple set into plain text. ||| {{lex.text | choice}} | Take the following graph comprising triple sets, where each element of a triple is separated by "|" and each triple set by ",": Aarhus_Airport | runwayName | "10R/28L". Make a verbalization of the triple set into plain text. | The runway name at Aarhus Airport is "10R/28L". | ||
Airport | 1 | Id11 | {
"otriple_set": [
[
"Abilene,_Texas | country | United_States"
]
]
} | {
"mtriple_set": [
[
"Abilene,_Texas | country | United_States"
]
]
} | {
"comment": [
"good",
"good",
"good"
],
"lid": [
"Id1",
"Id2",
"Id3"
],
"text": [
"Abilene, Texas is in the United States.",
"Abilene Texas is in the United States.",
"Abilene, Texas is located in the United States."
],
"template": [
"AGENT-1 is in PATIENT-1 .",
... | Explicit Graph Description | Take the following graph comprising triple sets, where each element of a triple is separated by "|" and each triple set by ",": {{modified_triple_sets.mtriple_set[0] | join(", ")}}. Make a verbalization of the triple set into plain text. ||| {{lex.text | choice}} | Take the following graph comprising triple sets, where each element of a triple is separated by "|" and each triple set by ",": Abilene,_Texas | country | United_States. Make a verbalization of the triple set into plain text. | Abilene, Texas is in the United States. | ||
Airport | 1 | Id12 | {
"otriple_set": [
[
"Abilene,_Texas | isPartOf | Jones_County,_Texas"
]
]
} | {
"mtriple_set": [
[
"Abilene,_Texas | isPartOf | Jones_County,_Texas"
]
]
} | {
"comment": [
"good",
"good"
],
"lid": [
"Id1",
"Id2"
],
"text": [
"Abilene, Texas is part of Jones County, Texas.",
"Abilene is part of Jones County, Texas."
],
"template": [
"AGENT-1 is part of PATIENT-1 .",
"AGENT-1 is part of PATIENT-1 ."
],
"sorted_triple_sets": [... | Explicit Graph Description | Take the following graph comprising triple sets, where each element of a triple is separated by "|" and each triple set by ",": {{modified_triple_sets.mtriple_set[0] | join(", ")}}. Make a verbalization of the triple set into plain text. ||| {{lex.text | choice}} | Take the following graph comprising triple sets, where each element of a triple is separated by "|" and each triple set by ",": Abilene,_Texas | isPartOf | Jones_County,_Texas. Make a verbalization of the triple set into plain text. | Abilene is part of Jones County, Texas. | ||
Airport | 1 | Id13 | {
"otriple_set": [
[
"Abilene,_Texas | subdivisionName | Taylor_County,_Texas"
]
]
} | {
"mtriple_set": [
[
"Abilene,_Texas | isPartOf | Taylor_County,_Texas"
]
]
} | {
"comment": [
"good",
"good",
"good"
],
"lid": [
"Id1",
"Id2",
"Id3"
],
"text": [
"Abilene, Texas is part of Taylor County,Texas.",
"Abilene is a part of Taylor County, Texas.",
"Abilene, Texas is part of Taylor County, Texas."
],
"template": [
"AGENT-1 is part of ... | Explicit Graph Description | Take the following graph comprising triple sets, where each element of a triple is separated by "|" and each triple set by ",": {{modified_triple_sets.mtriple_set[0] | join(", ")}}. Make a verbalization of the triple set into plain text. ||| {{lex.text | choice}} | Take the following graph comprising triple sets, where each element of a triple is separated by "|" and each triple set by ",": Abilene,_Texas | isPartOf | Taylor_County,_Texas. Make a verbalization of the triple set into plain text. | Abilene is a part of Taylor County, Texas. | ||
Airport | 1 | Id14 | {
"otriple_set": [
[
"Abilene,_Texas | isPartOf | Texas"
]
]
} | {
"mtriple_set": [
[
"Abilene,_Texas | isPartOf | Texas"
]
]
} | {
"comment": [
"good",
"good"
],
"lid": [
"Id1",
"Id2"
],
"text": [
"Abilene, Texas is part of Texas.",
"Abilene is part of Texas."
],
"template": [
"AGENT-1 is part of PATIENT-1 .",
"AGENT-1 is part of PATIENT-1 ."
],
"sorted_triple_sets": [
[
"Abilene,_Texas... | Explicit Graph Description | Take the following graph comprising triple sets, where each element of a triple is separated by "|" and each triple set by ",": {{modified_triple_sets.mtriple_set[0] | join(", ")}}. Make a verbalization of the triple set into plain text. ||| {{lex.text | choice}} | Take the following graph comprising triple sets, where each element of a triple is separated by "|" and each triple set by ",": Abilene,_Texas | isPartOf | Texas. Make a verbalization of the triple set into plain text. | Abilene, Texas is part of Texas. | ||
Airport | 1 | Id15 | {
"otriple_set": [
[
"Abilene_Regional_Airport | r1LengthF | 3678"
]
]
} | {
"mtriple_set": [
[
"Abilene_Regional_Airport | 1st_runway_LengthFeet | 3678"
]
]
} | {
"comment": [
"good"
],
"lid": [
"Id1"
],
"text": [
"The length of the 1st runway at Abilene Regional airport is 3678 feet."
],
"template": [
"The length of the 1st runway at AGENT-1 is PATIENT-1 feet ."
],
"sorted_triple_sets": [
[
"Abilene_Regional_Airport | 1st_runway_Len... | Explicit Graph Description | Take the following graph comprising triple sets, where each element of a triple is separated by "|" and each triple set by ",": {{modified_triple_sets.mtriple_set[0] | join(", ")}}. Make a verbalization of the triple set into plain text. ||| {{lex.text | choice}} | Take the following graph comprising triple sets, where each element of a triple is separated by "|" and each triple set by ",": Abilene_Regional_Airport | 1st_runway_LengthFeet | 3678. Make a verbalization of the triple set into plain text. | The length of the 1st runway at Abilene Regional airport is 3678 feet. | ||
Airport | 1 | Id16 | {
"otriple_set": [
[
"Abilene_Regional_Airport | r1Surface | Asphalt"
]
]
} | {
"mtriple_set": [
[
"Abilene_Regional_Airport | 1st_runway_SurfaceType | Asphalt"
]
]
} | {
"comment": [
"good",
"good"
],
"lid": [
"Id1",
"Id2"
],
"text": [
"The first runway at Abilene Regional Airport is made from asphalt.",
"The 1st runway at Abilene Regional Airport is made of Asphalt."
],
"template": [
"The first runway at AGENT-1 is made from PATIENT-1 .",
... | Explicit Graph Description | Take the following graph comprising triple sets, where each element of a triple is separated by "|" and each triple set by ",": {{modified_triple_sets.mtriple_set[0] | join(", ")}}. Make a verbalization of the triple set into plain text. ||| {{lex.text | choice}} | Take the following graph comprising triple sets, where each element of a triple is separated by "|" and each triple set by ",": Abilene_Regional_Airport | 1st_runway_SurfaceType | Asphalt. Make a verbalization of the triple set into plain text. | The 1st runway at Abilene Regional Airport is made of Asphalt. | ||
Airport | 1 | Id17 | {
"otriple_set": [
[
"Abilene_Regional_Airport | r3LengthF | 7202"
]
]
} | {
"mtriple_set": [
[
"Abilene_Regional_Airport | 3rd_runway_LengthFeet | 7202"
]
]
} | {
"comment": [
"good",
"good",
"good"
],
"lid": [
"Id1",
"Id2",
"Id3"
],
"text": [
"The third runway at Abilene Regional Airport is 7,202 feet long.",
"The 3rd runway at Abilene Regional airport is 7202 feet.",
"The Abilene Regional Airport's 3rd runway length is ft is 7202... | Explicit Graph Description | Take the following graph comprising triple sets, where each element of a triple is separated by "|" and each triple set by ",": {{modified_triple_sets.mtriple_set[0] | join(", ")}}. Make a verbalization of the triple set into plain text. ||| {{lex.text | choice}} | Take the following graph comprising triple sets, where each element of a triple is separated by "|" and each triple set by ",": Abilene_Regional_Airport | 3rd_runway_LengthFeet | 7202. Make a verbalization of the triple set into plain text. | The third runway at Abilene Regional Airport is 7,202 feet long. | ||
Airport | 1 | Id18 | {
"otriple_set": [
[
"Abilene_Regional_Airport | icaoLocationIdentifier | \"KABI\""
]
]
} | {
"mtriple_set": [
[
"Abilene_Regional_Airport | ICAO_Location_Identifier | \"KABI\""
]
]
} | {
"comment": [
"good",
"good",
"good"
],
"lid": [
"Id1",
"Id2",
"Id3"
],
"text": [
"Abilene Regional Airport ICAO Location Identifier is KABI.",
"KABI is the ICAO location identifier of Abilene Regional Airport.",
"The ICAO Location Identifier of Abilene Regional Airport is... | Explicit Graph Description | Take the following graph comprising triple sets, where each element of a triple is separated by "|" and each triple set by ",": {{modified_triple_sets.mtriple_set[0] | join(", ")}}. Make a verbalization of the triple set into plain text. ||| {{lex.text | choice}} | Take the following graph comprising triple sets, where each element of a triple is separated by "|" and each triple set by ",": Abilene_Regional_Airport | ICAO_Location_Identifier | "KABI". Make a verbalization of the triple set into plain text. | KABI is the ICAO location identifier of Abilene Regional Airport. | ||
Airport | 1 | Id19 | {
"otriple_set": [
[
"Abilene_Regional_Airport | elevationM | 546"
]
]
} | {
"mtriple_set": [
[
"Abilene_Regional_Airport | elevationAboveTheSeaLevel_(in_metres) | 546"
]
]
} | {
"comment": [
"good",
"good",
"good"
],
"lid": [
"Id1",
"Id2",
"Id3"
],
"text": [
"Abilene Regional Airport elevation above the sea level in metres is 546.",
"The Abilene Regional Airport is 546 metres above sea level.",
"Abilene Regional Airport is located 546 metres abov... | Explicit Graph Description | Take the following graph comprising triple sets, where each element of a triple is separated by "|" and each triple set by ",": {{modified_triple_sets.mtriple_set[0] | join(", ")}}. Make a verbalization of the triple set into plain text. ||| {{lex.text | choice}} | Take the following graph comprising triple sets, where each element of a triple is separated by "|" and each triple set by ",": Abilene_Regional_Airport | elevationAboveTheSeaLevel_(in_metres) | 546. Make a verbalization of the triple set into plain text. | Abilene Regional Airport elevation above the sea level in metres is 546. | ||
Airport | 1 | Id20 | {
"otriple_set": [
[
"Abilene_Regional_Airport | faa | \"ABI\"@en"
]
]
} | {
"mtriple_set": [
[
"Abilene_Regional_Airport | locationIdentifier | \"ABI\""
]
]
} | {
"comment": [
"good",
"good",
"good"
],
"lid": [
"Id1",
"Id2",
"Id3"
],
"text": [
"The location identifier for Abilene Regional airport is ABI.",
"The Abilene Regional Airport's location id is \"ABI\".",
"The location Identifier of Abilene Regional Airport is ABI."
],
... | Explicit Graph Description | Take the following graph comprising triple sets, where each element of a triple is separated by "|" and each triple set by ",": {{modified_triple_sets.mtriple_set[0] | join(", ")}}. Make a verbalization of the triple set into plain text. ||| {{lex.text | choice}} | Take the following graph comprising triple sets, where each element of a triple is separated by "|" and each triple set by ",": Abilene_Regional_Airport | locationIdentifier | "ABI". Make a verbalization of the triple set into plain text. | The Abilene Regional Airport's location id is "ABI". | ||
Airport | 1 | Id21 | {
"otriple_set": [
[
"Abilene_Regional_Airport | runwayLength | \"1121.0\"^^xsd:double"
]
]
} | {
"mtriple_set": [
[
"Abilene_Regional_Airport | runwayLength | 1121.0"
]
]
} | {
"comment": [
"good",
"good",
"good"
],
"lid": [
"Id1",
"Id2",
"Id3"
],
"text": [
"The runway length of Abilene Regional Airport is 1,121.",
"Abilene Regional airport has a runway length of 1121.0.",
"The runway length of Abilene Regional Airport is 1121.0."
],
"templa... | Explicit Graph Description | Take the following graph comprising triple sets, where each element of a triple is separated by "|" and each triple set by ",": {{modified_triple_sets.mtriple_set[0] | join(", ")}}. Make a verbalization of the triple set into plain text. ||| {{lex.text | choice}} | Take the following graph comprising triple sets, where each element of a triple is separated by "|" and each triple set by ",": Abilene_Regional_Airport | runwayLength | 1121.0. Make a verbalization of the triple set into plain text. | Abilene Regional airport has a runway length of 1121.0. | ||
Airport | 1 | Id22 | {
"otriple_set": [
[
"Abilene_Regional_Airport | runwayLength | \"2194.0\"^^xsd:double"
]
]
} | {
"mtriple_set": [
[
"Abilene_Regional_Airport | runwayLength | 2194.0"
]
]
} | {
"comment": [
"good"
],
"lid": [
"Id1"
],
"text": [
"The runway length of Abilene Regional Airport is 2194.0."
],
"template": [
"The runway length of AGENT-1 is PATIENT-1 ."
],
"sorted_triple_sets": [
[
"Abilene_Regional_Airport | runwayLength | 2194.0"
]
],
"lexical... | Explicit Graph Description | Take the following graph comprising triple sets, where each element of a triple is separated by "|" and each triple set by ",": {{modified_triple_sets.mtriple_set[0] | join(", ")}}. Make a verbalization of the triple set into plain text. ||| {{lex.text | choice}} | Take the following graph comprising triple sets, where each element of a triple is separated by "|" and each triple set by ",": Abilene_Regional_Airport | runwayLength | 2194.0. Make a verbalization of the triple set into plain text. | The runway length of Abilene Regional Airport is 2194.0. | ||
Airport | 1 | Id23 | {
"otriple_set": [
[
"Abilene_Regional_Airport | runwayLength | \"2195.17\"^^xsd:double"
]
]
} | {
"mtriple_set": [
[
"Abilene_Regional_Airport | runwayLength | 2195.0"
]
]
} | {
"comment": [
"good",
"good"
],
"lid": [
"Id1",
"Id2"
],
"text": [
"The runway length of Abilene Regional Airport is 2,195.",
"The runway length of Abilene Regional Airport is 2195.0."
],
"template": [
"The runway length of AGENT-1 is PATIENT-1 .",
"The runway length of AG... | Explicit Graph Description | Take the following graph comprising triple sets, where each element of a triple is separated by "|" and each triple set by ",": {{modified_triple_sets.mtriple_set[0] | join(", ")}}. Make a verbalization of the triple set into plain text. ||| {{lex.text | choice}} | Take the following graph comprising triple sets, where each element of a triple is separated by "|" and each triple set by ",": Abilene_Regional_Airport | runwayLength | 2195.0. Make a verbalization of the triple set into plain text. | The runway length of Abilene Regional Airport is 2,195. | ||
Airport | 1 | Id24 | {
"otriple_set": [
[
"Abilene_Regional_Airport | runwayDesignation | \"17L/35R\""
]
]
} | {
"mtriple_set": [
[
"Abilene_Regional_Airport | runwayName | \"17L/35R\""
]
]
} | {
"comment": [
"good",
"good",
"good"
],
"lid": [
"Id1",
"Id2",
"Id3"
],
"text": [
"Abilene Regional Airport runway name is 17L/35R.",
"17L/35R is the runway name of Abilene Regional Airport.",
"Abilene Regional Airport has the runway name 17L/35R."
],
"template": [
... | Explicit Graph Description | Take the following graph comprising triple sets, where each element of a triple is separated by "|" and each triple set by ",": {{modified_triple_sets.mtriple_set[0] | join(", ")}}. Make a verbalization of the triple set into plain text. ||| {{lex.text | choice}} | Take the following graph comprising triple sets, where each element of a triple is separated by "|" and each triple set by ",": Abilene_Regional_Airport | runwayName | "17L/35R". Make a verbalization of the triple set into plain text. | Abilene Regional Airport has the runway name 17L/35R. | ||
Airport | 1 | Id25 | {
"otriple_set": [
[
"Abilene_Regional_Airport | runwayDesignation | \"17R/35L\""
]
]
} | {
"mtriple_set": [
[
"Abilene_Regional_Airport | runwayName | \"17R/35L\""
]
]
} | {
"comment": [
"good",
"good",
"good"
],
"lid": [
"Id1",
"Id2",
"Id3"
],
"text": [
"17R/35L is the runway name at Abilene Regional airport.",
"The name of the runway at Abilene Regional Airport is 17R/35L.",
"The runway name of Abilene Regional Airport is 17R/35L."
],
"... | Explicit Graph Description | Take the following graph comprising triple sets, where each element of a triple is separated by "|" and each triple set by ",": {{modified_triple_sets.mtriple_set[0] | join(", ")}}. Make a verbalization of the triple set into plain text. ||| {{lex.text | choice}} | Take the following graph comprising triple sets, where each element of a triple is separated by "|" and each triple set by ",": Abilene_Regional_Airport | runwayName | "17R/35L". Make a verbalization of the triple set into plain text. | 17R/35L is the runway name at Abilene Regional airport. | ||
Airport | 1 | Id26 | {
"otriple_set": [
[
"Adirondack_Regional_Airport | r1LengthF | 6573"
]
]
} | {
"mtriple_set": [
[
"Adirondack_Regional_Airport | 1st_runway_LengthFeet | 6573"
]
]
} | {
"comment": [
"good",
"good",
"good"
],
"lid": [
"Id1",
"Id2",
"Id3"
],
"text": [
"The length of the first runway at Adirondack Regional Airport is 6,573 feet.",
"6573 feet is the length of the first runway at Adirondack Regional Airport.",
"The 1st runway length in feet o... | Explicit Graph Description | Take the following graph comprising triple sets, where each element of a triple is separated by "|" and each triple set by ",": {{modified_triple_sets.mtriple_set[0] | join(", ")}}. Make a verbalization of the triple set into plain text. ||| {{lex.text | choice}} | Take the following graph comprising triple sets, where each element of a triple is separated by "|" and each triple set by ",": Adirondack_Regional_Airport | 1st_runway_LengthFeet | 6573. Make a verbalization of the triple set into plain text. | 6573 feet is the length of the first runway at Adirondack Regional Airport. | ||
Airport | 1 | Id27 | {
"otriple_set": [
[
"Adirondack_Regional_Airport | cityServed | Lake_Placid,_New_York"
]
]
} | {
"mtriple_set": [
[
"Adirondack_Regional_Airport | cityServed | Lake_Placid,_New_York"
]
]
} | {
"comment": [
"good",
"good"
],
"lid": [
"Id1",
"Id2"
],
"text": [
"Lake Placid, N.Y. is served by the Adirondack Regional Airport.",
"Adirondack Regional Airport serves the city of Lake Placid, New York."
],
"template": [
"PATIENT-1 is served by AGENT-1 .",
"AGENT-1 serve... | Explicit Graph Description | Take the following graph comprising triple sets, where each element of a triple is separated by "|" and each triple set by ",": {{modified_triple_sets.mtriple_set[0] | join(", ")}}. Make a verbalization of the triple set into plain text. ||| {{lex.text | choice}} | Take the following graph comprising triple sets, where each element of a triple is separated by "|" and each triple set by ",": Adirondack_Regional_Airport | cityServed | Lake_Placid,_New_York. Make a verbalization of the triple set into plain text. | Adirondack Regional Airport serves the city of Lake Placid, New York. | ||
Airport | 1 | Id28 | {
"otriple_set": [
[
"Adirondack_Regional_Airport | cityServed | Saranac_Lake,_New_York"
]
]
} | {
"mtriple_set": [
[
"Adirondack_Regional_Airport | cityServed | Saranac_Lake,_New_York"
]
]
} | {
"comment": [
"good"
],
"lid": [
"Id1"
],
"text": [
"Adirondack Regional Airport serves the city of Saranac Lake, New York."
],
"template": [
"AGENT-1 serves the city of PATIENT-1 ."
],
"sorted_triple_sets": [
[
"Adirondack_Regional_Airport | cityServed | Saranac_Lake,_New_Y... | Explicit Graph Description | Take the following graph comprising triple sets, where each element of a triple is separated by "|" and each triple set by ",": {{modified_triple_sets.mtriple_set[0] | join(", ")}}. Make a verbalization of the triple set into plain text. ||| {{lex.text | choice}} | Take the following graph comprising triple sets, where each element of a triple is separated by "|" and each triple set by ",": Adirondack_Regional_Airport | cityServed | Saranac_Lake,_New_York. Make a verbalization of the triple set into plain text. | Adirondack Regional Airport serves the city of Saranac Lake, New York. | ||
Airport | 1 | Id29 | {
"otriple_set": [
[
"Adirondack_Regional_Airport | faa | \"SLK\"@en"
]
]
} | {
"mtriple_set": [
[
"Adirondack_Regional_Airport | locationIdentifier | \"SLK\""
]
]
} | {
"comment": [
"good",
"good",
"good"
],
"lid": [
"Id1",
"Id2",
"Id3"
],
"text": [
"Adirondack Regional Airport location idenitifier is SLK.",
"SLK is the I.D. of the Adirondack Regional Airport.",
"The Adirondack Regional Airport location identifier is SLK."
],
"templa... | Explicit Graph Description | Take the following graph comprising triple sets, where each element of a triple is separated by "|" and each triple set by ",": {{modified_triple_sets.mtriple_set[0] | join(", ")}}. Make a verbalization of the triple set into plain text. ||| {{lex.text | choice}} | Take the following graph comprising triple sets, where each element of a triple is separated by "|" and each triple set by ",": Adirondack_Regional_Airport | locationIdentifier | "SLK". Make a verbalization of the triple set into plain text. | Adirondack Regional Airport location idenitifier is SLK. | ||
Airport | 1 | Id30 | {
"otriple_set": [
[
"Adirondack_Regional_Airport | runwayLength | \"1218.59\"^^xsd:double"
]
]
} | {
"mtriple_set": [
[
"Adirondack_Regional_Airport | runwayLength | 1219.0"
]
]
} | {
"comment": [
"good",
"good",
"good"
],
"lid": [
"Id1",
"Id2",
"Id3"
],
"text": [
"The runway length of Adirondack Regional Airport is 1,219.",
"The runway length at Adirondack Regional Airport is 1219.0.",
"The runway length of Adirondack Regional Airport is 1219.0."
],... | Explicit Graph Description | Take the following graph comprising triple sets, where each element of a triple is separated by "|" and each triple set by ",": {{modified_triple_sets.mtriple_set[0] | join(", ")}}. Make a verbalization of the triple set into plain text. ||| {{lex.text | choice}} | Take the following graph comprising triple sets, where each element of a triple is separated by "|" and each triple set by ",": Adirondack_Regional_Airport | runwayLength | 1219.0. Make a verbalization of the triple set into plain text. | The runway length of Adirondack Regional Airport is 1219.0. | ||
Airport | 1 | Id31 | {
"otriple_set": [
[
"Adirondack_Regional_Airport | runwayLength | \"2003.45\"^^xsd:double"
]
]
} | {
"mtriple_set": [
[
"Adirondack_Regional_Airport | runwayLength | 2003.0"
]
]
} | {
"comment": [
"good",
"good"
],
"lid": [
"Id1",
"Id2"
],
"text": [
"The runway length of Adirondack Regional Airport is 2003.0.",
"The length of the runway at Adirondack Regional Airport is 2003.0."
],
"template": [
"The runway length of AGENT-1 is PATIENT-1 .",
"The lengt... | Explicit Graph Description | Take the following graph comprising triple sets, where each element of a triple is separated by "|" and each triple set by ",": {{modified_triple_sets.mtriple_set[0] | join(", ")}}. Make a verbalization of the triple set into plain text. ||| {{lex.text | choice}} | Take the following graph comprising triple sets, where each element of a triple is separated by "|" and each triple set by ",": Adirondack_Regional_Airport | runwayLength | 2003.0. Make a verbalization of the triple set into plain text. | The length of the runway at Adirondack Regional Airport is 2003.0. | ||
Airport | 1 | Id32 | {
"otriple_set": [
[
"Adolfo_Suárez_Madrid–Barajas_Airport | elevation | \"609.6\"^^xsd:double"
]
]
} | {
"mtriple_set": [
[
"Adolfo_Suárez_Madrid–Barajas_Airport | elevationAboveTheSeaLevel_(in_metres) | 610.0"
]
]
} | {
"comment": [
"good",
"good"
],
"lid": [
"Id1",
"Id2"
],
"text": [
"Adolfo Suárez Madrid-Barajas Airport has an elevation of 610.0 metres above sea level.",
"Adolfo Suárez Madrid–Barajas Airport is elevated 610 metres above sea level."
],
"template": [
"AGENT-1 has an elevatio... | Explicit Graph Description | Take the following graph comprising triple sets, where each element of a triple is separated by "|" and each triple set by ",": {{modified_triple_sets.mtriple_set[0] | join(", ")}}. Make a verbalization of the triple set into plain text. ||| {{lex.text | choice}} | Take the following graph comprising triple sets, where each element of a triple is separated by "|" and each triple set by ",": Adolfo_Suárez_Madrid–Barajas_Airport | elevationAboveTheSeaLevel_(in_metres) | 610.0. Make a verbalization of the triple set into plain text. | Adolfo Suárez Madrid-Barajas Airport has an elevation of 610.0 metres above sea level. | ||
Airport | 1 | Id33 | {
"otriple_set": [
[
"Adolfo_Suárez_Madrid–Barajas_Airport | location | Alcobendas"
]
]
} | {
"mtriple_set": [
[
"Adolfo_Suárez_Madrid–Barajas_Airport | location | Alcobendas"
]
]
} | {
"comment": [
"good",
"good",
"good"
],
"lid": [
"Id1",
"Id2",
"Id3"
],
"text": [
"Adolfo Suárez Madrid–Barajas Airport is in Alcobendas.",
"Adolfo Suárez Madrid Barajas Airport is found in Alcobendas.",
"Adolfo Suárez Madrid–Barajas Airport is located in Alcobendas."
],... | Explicit Graph Description | Take the following graph comprising triple sets, where each element of a triple is separated by "|" and each triple set by ",": {{modified_triple_sets.mtriple_set[0] | join(", ")}}. Make a verbalization of the triple set into plain text. ||| {{lex.text | choice}} | Take the following graph comprising triple sets, where each element of a triple is separated by "|" and each triple set by ",": Adolfo_Suárez_Madrid–Barajas_Airport | location | Alcobendas. Make a verbalization of the triple set into plain text. | Adolfo Suárez Madrid–Barajas Airport is in Alcobendas. | ||
Airport | 1 | Id34 | {
"otriple_set": [
[
"Adolfo_Suárez_Madrid–Barajas_Airport | location | Madrid"
]
]
} | {
"mtriple_set": [
[
"Adolfo_Suárez_Madrid–Barajas_Airport | location | Madrid"
]
]
} | {
"comment": [
"good",
"good",
"good"
],
"lid": [
"Id1",
"Id2",
"Id3"
],
"text": [
"Adolfo Suárez Madrid–Barajas Airport is found in Madrid.",
"The Adolfo Suárez Madrid–Barajas Airport is in Madrid.",
"Adolfo Suarez Madrid-Barajas Aiport is located in Madrid."
],
"templ... | Explicit Graph Description | Take the following graph comprising triple sets, where each element of a triple is separated by "|" and each triple set by ",": {{modified_triple_sets.mtriple_set[0] | join(", ")}}. Make a verbalization of the triple set into plain text. ||| {{lex.text | choice}} | Take the following graph comprising triple sets, where each element of a triple is separated by "|" and each triple set by ",": Adolfo_Suárez_Madrid–Barajas_Airport | location | Madrid. Make a verbalization of the triple set into plain text. | The Adolfo Suárez Madrid–Barajas Airport is in Madrid. | ||
Airport | 1 | Id35 | {
"otriple_set": [
[
"Adolfo_Suárez_Madrid–Barajas_Airport | location | Paracuellos_de_Jarama"
]
]
} | {
"mtriple_set": [
[
"Adolfo_Suárez_Madrid–Barajas_Airport | location | Paracuellos_de_Jarama"
]
]
} | {
"comment": [
"good",
"good",
"good"
],
"lid": [
"Id1",
"Id2",
"Id3"
],
"text": [
"Adolfo Suárez Madrid–Barajas Airport can be found in Paracuellos de Jarama.",
"Adolfo Suarez Madrid-Barejas airport is located at Paracuellos de Jarama.",
"The Adolfo Suárez Madrid–Barajas A... | Explicit Graph Description | Take the following graph comprising triple sets, where each element of a triple is separated by "|" and each triple set by ",": {{modified_triple_sets.mtriple_set[0] | join(", ")}}. Make a verbalization of the triple set into plain text. ||| {{lex.text | choice}} | Take the following graph comprising triple sets, where each element of a triple is separated by "|" and each triple set by ",": Adolfo_Suárez_Madrid–Barajas_Airport | location | Paracuellos_de_Jarama. Make a verbalization of the triple set into plain text. | Adolfo Suarez Madrid-Barejas airport is located at Paracuellos de Jarama. | ||
Airport | 1 | Id36 | {
"otriple_set": [
[
"Adolfo_Suárez_Madrid–Barajas_Airport | operator | ENAIRE"
]
]
} | {
"mtriple_set": [
[
"Adolfo_Suárez_Madrid–Barajas_Airport | operatingOrganisation | ENAIRE"
]
]
} | {
"comment": [
"good",
"good",
"good"
],
"lid": [
"Id1",
"Id2",
"Id3"
],
"text": [
"The Adolfo Suárez Madrid–Barajas Airport is operated by ENAIRE.",
"ENAIRE is the operating organisation for Adolfo Suarez Madrid-Barajas airport.",
"Adolfo Suarez Madrid-Barajas Airport is o... | Explicit Graph Description | Take the following graph comprising triple sets, where each element of a triple is separated by "|" and each triple set by ",": {{modified_triple_sets.mtriple_set[0] | join(", ")}}. Make a verbalization of the triple set into plain text. ||| {{lex.text | choice}} | Take the following graph comprising triple sets, where each element of a triple is separated by "|" and each triple set by ",": Adolfo_Suárez_Madrid–Barajas_Airport | operatingOrganisation | ENAIRE. Make a verbalization of the triple set into plain text. | Adolfo Suarez Madrid-Barajas Airport is operated by ENAIRE. | ||
Airport | 1 | Id37 | {
"otriple_set": [
[
"Adolfo_Suárez_Madrid–Barajas_Airport | runwayLength | \"3499.71\"^^xsd:double"
]
]
} | {
"mtriple_set": [
[
"Adolfo_Suárez_Madrid–Barajas_Airport | runwayLength | 3500.0"
]
]
} | {
"comment": [
"good",
"good",
"good"
],
"lid": [
"Id1",
"Id2",
"Id3"
],
"text": [
"The runway length of Adolfo Suárez Madrid–Barajas Airport is 3,500.",
"The runway length at Adolfo Suarez Madrid-Barajas airport is 3500.0.",
"The Adolfo Suárez Madrid–Barajas Airport's runw... | Explicit Graph Description | Take the following graph comprising triple sets, where each element of a triple is separated by "|" and each triple set by ",": {{modified_triple_sets.mtriple_set[0] | join(", ")}}. Make a verbalization of the triple set into plain text. ||| {{lex.text | choice}} | Take the following graph comprising triple sets, where each element of a triple is separated by "|" and each triple set by ",": Adolfo_Suárez_Madrid–Barajas_Airport | runwayLength | 3500.0. Make a verbalization of the triple set into plain text. | The Adolfo Suárez Madrid–Barajas Airport's runway length is 3500. | ||
Airport | 1 | Id38 | {
"otriple_set": [
[
"Adolfo_Suárez_Madrid–Barajas_Airport | runwayLength | \"4100.0\"^^xsd:double"
]
]
} | {
"mtriple_set": [
[
"Adolfo_Suárez_Madrid–Barajas_Airport | runwayLength | 4100.0"
]
]
} | {
"comment": [
"good",
"good",
"good"
],
"lid": [
"Id1",
"Id2",
"Id3"
],
"text": [
"The runway length of Adolfo Suárez Madrid–Barajas Airport is 4,100.",
"The runway length of Adolfo Suarez Madrid-Barajas airport is 4100.0.",
"The length of the runway at Adolfo Suarez Madri... | Explicit Graph Description | Take the following graph comprising triple sets, where each element of a triple is separated by "|" and each triple set by ",": {{modified_triple_sets.mtriple_set[0] | join(", ")}}. Make a verbalization of the triple set into plain text. ||| {{lex.text | choice}} | Take the following graph comprising triple sets, where each element of a triple is separated by "|" and each triple set by ",": Adolfo_Suárez_Madrid–Barajas_Airport | runwayLength | 4100.0. Make a verbalization of the triple set into plain text. | The length of the runway at Adolfo Suarez Madrid Barajas Airport is 4100.0. | ||
Airport | 1 | Id39 | {
"otriple_set": [
[
"Adolfo_Suárez_Madrid–Barajas_Airport | runwayLength | \"4349.0\"^^xsd:double"
]
]
} | {
"mtriple_set": [
[
"Adolfo_Suárez_Madrid–Barajas_Airport | runwayLength | 4349.0"
]
]
} | {
"comment": [
"good",
"good",
"good"
],
"lid": [
"Id1",
"Id2",
"Id3"
],
"text": [
"The runway length of Adolfo Suárez Madrid–Barajas Airport is 4,349.",
"Adolfo Suárez Madrid–Barajas Airport has a runway that is 4349 metres long.",
"The runway length of Adolfo Suarez Madri... | Explicit Graph Description | Take the following graph comprising triple sets, where each element of a triple is separated by "|" and each triple set by ",": {{modified_triple_sets.mtriple_set[0] | join(", ")}}. Make a verbalization of the triple set into plain text. ||| {{lex.text | choice}} | Take the following graph comprising triple sets, where each element of a triple is separated by "|" and each triple set by ",": Adolfo_Suárez_Madrid–Barajas_Airport | runwayLength | 4349.0. Make a verbalization of the triple set into plain text. | The runway length of Adolfo Suárez Madrid–Barajas Airport is 4,349. | ||
Airport | 1 | Id40 | {
"otriple_set": [
[
"Adolfo_Suárez_Madrid–Barajas_Airport | runwayDesignation | \"18R/36L\""
]
]
} | {
"mtriple_set": [
[
"Adolfo_Suárez_Madrid–Barajas_Airport | runwayName | \"18R/36L\""
]
]
} | {
"comment": [
"good"
],
"lid": [
"Id1"
],
"text": [
"18R/36L is the runway name of the Adolfo Suárez Madrid-Barajas Airport."
],
"template": [
"PATIENT-1 is the runway name of AGENT-1 ."
],
"sorted_triple_sets": [
[
"Adolfo_Suárez_Madrid–Barajas_Airport | runwayName | \"18R/... | Explicit Graph Description | Take the following graph comprising triple sets, where each element of a triple is separated by "|" and each triple set by ",": {{modified_triple_sets.mtriple_set[0] | join(", ")}}. Make a verbalization of the triple set into plain text. ||| {{lex.text | choice}} | Take the following graph comprising triple sets, where each element of a triple is separated by "|" and each triple set by ",": Adolfo_Suárez_Madrid–Barajas_Airport | runwayName | "18R/36L". Make a verbalization of the triple set into plain text. | 18R/36L is the runway name of the Adolfo Suárez Madrid-Barajas Airport. | ||
Airport | 1 | Id41 | {
"otriple_set": [
[
"Afonso_Pena_International_Airport | elevationF | 2988"
]
]
} | {
"mtriple_set": [
[
"Afonso_Pena_International_Airport | elevationAboveTheSeaLevel_(in_feet) | 2988"
]
]
} | {
"comment": [
"good",
"good"
],
"lid": [
"Id1",
"Id2"
],
"text": [
"Afonso Pena International Airport is elevated 2988 feet above sea level.",
"Afonso Pena International Airport has an elevation above the sea level (in feet) of 2988."
],
"template": [
"AGENT-1 is elevated PATI... | Explicit Graph Description | Take the following graph comprising triple sets, where each element of a triple is separated by "|" and each triple set by ",": {{modified_triple_sets.mtriple_set[0] | join(", ")}}. Make a verbalization of the triple set into plain text. ||| {{lex.text | choice}} | Take the following graph comprising triple sets, where each element of a triple is separated by "|" and each triple set by ",": Afonso_Pena_International_Airport | elevationAboveTheSeaLevel_(in_feet) | 2988. Make a verbalization of the triple set into plain text. | Afonso Pena International Airport has an elevation above the sea level (in feet) of 2988. | ||
Airport | 1 | Id42 | {
"otriple_set": [
[
"Afonso_Pena_International_Airport | elevation | \"910.742\"^^xsd:double"
]
]
} | {
"mtriple_set": [
[
"Afonso_Pena_International_Airport | elevationAboveTheSeaLevel_(in_metres) | 911.0"
]
]
} | {
"comment": [
"good",
"good",
"good"
],
"lid": [
"Id1",
"Id2",
"Id3"
],
"text": [
"Afonso Pena International airport is located 911 metres above sea level.",
"Afonso Pena International Airport has the elevation of 911 meters above the sea level.",
"Afonso Pena Internationa... | Explicit Graph Description | Take the following graph comprising triple sets, where each element of a triple is separated by "|" and each triple set by ",": {{modified_triple_sets.mtriple_set[0] | join(", ")}}. Make a verbalization of the triple set into plain text. ||| {{lex.text | choice}} | Take the following graph comprising triple sets, where each element of a triple is separated by "|" and each triple set by ",": Afonso_Pena_International_Airport | elevationAboveTheSeaLevel_(in_metres) | 911.0. Make a verbalization of the triple set into plain text. | Afonso Pena International Airport has the elevation of 911 meters above the sea level. | ||
Airport | 1 | Id43 | {
"otriple_set": [
[
"Afonso_Pena_International_Airport | location | São_José_dos_Pinhais"
]
]
} | {
"mtriple_set": [
[
"Afonso_Pena_International_Airport | location | São_José_dos_Pinhais"
]
]
} | {
"comment": [
"good",
"good",
"good"
],
"lid": [
"Id1",
"Id2",
"Id3"
],
"text": [
"The location of Afonso Pena International airport is Sao Jose dos Pinhais.",
"Afonso Pena International Airport is located in São José dos Pinhais.",
"Afonso Pena International Airport is lo... | Explicit Graph Description | Take the following graph comprising triple sets, where each element of a triple is separated by "|" and each triple set by ",": {{modified_triple_sets.mtriple_set[0] | join(", ")}}. Make a verbalization of the triple set into plain text. ||| {{lex.text | choice}} | Take the following graph comprising triple sets, where each element of a triple is separated by "|" and each triple set by ",": Afonso_Pena_International_Airport | location | São_José_dos_Pinhais. Make a verbalization of the triple set into plain text. | The location of Afonso Pena International airport is Sao Jose dos Pinhais. | ||
Airport | 1 | Id44 | {
"otriple_set": [
[
"Afonso_Pena_International_Airport | runwayLength | \"1799.84\"^^xsd:double"
]
]
} | {
"mtriple_set": [
[
"Afonso_Pena_International_Airport | runwayLength | 1800.0"
]
]
} | {
"comment": [
"good",
"good",
"good"
],
"lid": [
"Id1",
"Id2",
"Id3"
],
"text": [
"The runway length at Afonso Pena International airport is 1800.0.",
"The runway at Afonso Pena International Airport is 1800 meters long.",
"The runway length of Afonso Pena International Ai... | Explicit Graph Description | Take the following graph comprising triple sets, where each element of a triple is separated by "|" and each triple set by ",": {{modified_triple_sets.mtriple_set[0] | join(", ")}}. Make a verbalization of the triple set into plain text. ||| {{lex.text | choice}} | Take the following graph comprising triple sets, where each element of a triple is separated by "|" and each triple set by ",": Afonso_Pena_International_Airport | runwayLength | 1800.0. Make a verbalization of the triple set into plain text. | The runway length at Afonso Pena International airport is 1800.0. | ||
Airport | 1 | Id45 | {
"otriple_set": [
[
"Afonso_Pena_International_Airport | runwayLength | \"2214.98\"^^xsd:double"
]
]
} | {
"mtriple_set": [
[
"Afonso_Pena_International_Airport | runwayLength | 2215.0"
]
]
} | {
"comment": [
"good",
"good",
"good"
],
"lid": [
"Id1",
"Id2",
"Id3"
],
"text": [
"Afonso Pena International Airport runway length is 2215.0.",
"Afonso Pena International Airport has a runway length of 2215.0.",
"The runway length of Afonso Pena International Airport is 22... | Explicit Graph Description | Take the following graph comprising triple sets, where each element of a triple is separated by "|" and each triple set by ",": {{modified_triple_sets.mtriple_set[0] | join(", ")}}. Make a verbalization of the triple set into plain text. ||| {{lex.text | choice}} | Take the following graph comprising triple sets, where each element of a triple is separated by "|" and each triple set by ",": Afonso_Pena_International_Airport | runwayLength | 2215.0. Make a verbalization of the triple set into plain text. | Afonso Pena International Airport runway length is 2215.0. | ||
Airport | 1 | Id46 | {
"otriple_set": [
[
"Afonso_Pena_International_Airport | runwayDesignation | \"11/29\""
]
]
} | {
"mtriple_set": [
[
"Afonso_Pena_International_Airport | runwayName | \"11/29\""
]
]
} | {
"comment": [
"good"
],
"lid": [
"Id1"
],
"text": [
"Afonso Pena International Airport has the runway name 11/29."
],
"template": [
"AGENT-1 has the runway name PATIENT-1 ."
],
"sorted_triple_sets": [
[
"Afonso_Pena_International_Airport | runwayName | \"11/29\""
]
],
... | Explicit Graph Description | Take the following graph comprising triple sets, where each element of a triple is separated by "|" and each triple set by ",": {{modified_triple_sets.mtriple_set[0] | join(", ")}}. Make a verbalization of the triple set into plain text. ||| {{lex.text | choice}} | Take the following graph comprising triple sets, where each element of a triple is separated by "|" and each triple set by ",": Afonso_Pena_International_Airport | runwayName | "11/29". Make a verbalization of the triple set into plain text. | Afonso Pena International Airport has the runway name 11/29. | ||
Airport | 1 | Id47 | {
"otriple_set": [
[
"Afonso_Pena_International_Airport | runwayDesignation | \"15/33\""
]
]
} | {
"mtriple_set": [
[
"Afonso_Pena_International_Airport | runwayName | \"15/33\""
]
]
} | {
"comment": [
"good",
"good",
"good"
],
"lid": [
"Id1",
"Id2",
"Id3"
],
"text": [
"The runway name of Afonso Pena International Airport is 15/33.",
"15/33 is the runway name at Afonso Pena International airport.",
"The Afonso Pena International Airport's runway name is \"1... | Explicit Graph Description | Take the following graph comprising triple sets, where each element of a triple is separated by "|" and each triple set by ",": {{modified_triple_sets.mtriple_set[0] | join(", ")}}. Make a verbalization of the triple set into plain text. ||| {{lex.text | choice}} | Take the following graph comprising triple sets, where each element of a triple is separated by "|" and each triple set by ",": Afonso_Pena_International_Airport | runwayName | "15/33". Make a verbalization of the triple set into plain text. | The Afonso Pena International Airport's runway name is "15/33". | ||
Airport | 1 | Id48 | {
"otriple_set": [
[
"Agra_Airport | iataLocationIdentifier | \"AGR\""
]
]
} | {
"mtriple_set": [
[
"Agra_Airport | IATA_Location_Identifier | \"AGR\""
]
]
} | {
"comment": [
"good",
"good",
"good"
],
"lid": [
"Id1",
"Id2",
"Id3"
],
"text": [
"Agra Airport IATA Location Identifier is AGR.",
"AGR is the IATA I.D. of the Agra Airport.",
"AGR is the ATA Location Identifier for Agra Airport."
],
"template": [
"AGENT-1 IATA Loc... | Explicit Graph Description | Take the following graph comprising triple sets, where each element of a triple is separated by "|" and each triple set by ",": {{modified_triple_sets.mtriple_set[0] | join(", ")}}. Make a verbalization of the triple set into plain text. ||| {{lex.text | choice}} | Take the following graph comprising triple sets, where each element of a triple is separated by "|" and each triple set by ",": Agra_Airport | IATA_Location_Identifier | "AGR". Make a verbalization of the triple set into plain text. | AGR is the IATA I.D. of the Agra Airport. | ||
Airport | 1 | Id49 | {
"otriple_set": [
[
"Agra_Airport | icaoLocationIdentifier | \"VIAG\""
]
]
} | {
"mtriple_set": [
[
"Agra_Airport | ICAO_Location_Identifier | \"VIAG\""
]
]
} | {
"comment": [
"good",
"good",
"good"
],
"lid": [
"Id1",
"Id2",
"Id3"
],
"text": [
"The location identifier for Agra Airport is VIAG.",
"The Agra Airport's ICAO location identifier is \"VIAG\".",
"The ICAO Location Identifier of Agra Airport is VIAG."
],
"template": [
... | Explicit Graph Description | Take the following graph comprising triple sets, where each element of a triple is separated by "|" and each triple set by ",": {{modified_triple_sets.mtriple_set[0] | join(", ")}}. Make a verbalization of the triple set into plain text. ||| {{lex.text | choice}} | Take the following graph comprising triple sets, where each element of a triple is separated by "|" and each triple set by ",": Agra_Airport | ICAO_Location_Identifier | "VIAG". Make a verbalization of the triple set into plain text. | The Agra Airport's ICAO location identifier is "VIAG". | ||
Airport | 1 | Id50 | {
"otriple_set": [
[
"Agra_Airport | elevation | \"167.945\"^^xsd:double"
]
]
} | {
"mtriple_set": [
[
"Agra_Airport | elevationAboveTheSeaLevel_(in_metres) | 167.94"
]
]
} | {
"comment": [
"good",
"good"
],
"lid": [
"Id1",
"Id2"
],
"text": [
"Agra Airport is elevated 167.94 metres above sea level.",
"The elevation above the sea level (in metres) of Agra Airport is 167.94."
],
"template": [
"AGENT-1 is elevated PATIENT-1 metres above sea level .",
... | Explicit Graph Description | Take the following graph comprising triple sets, where each element of a triple is separated by "|" and each triple set by ",": {{modified_triple_sets.mtriple_set[0] | join(", ")}}. Make a verbalization of the triple set into plain text. ||| {{lex.text | choice}} | Take the following graph comprising triple sets, where each element of a triple is separated by "|" and each triple set by ",": Agra_Airport | elevationAboveTheSeaLevel_(in_metres) | 167.94. Make a verbalization of the triple set into plain text. | Agra Airport is elevated 167.94 metres above sea level. | ||
Airport | 1 | Id51 | {
"otriple_set": [
[
"Agra_Airport | location | India"
]
]
} | {
"mtriple_set": [
[
"Agra_Airport | location | India"
]
]
} | {
"comment": [
"good",
"good"
],
"lid": [
"Id1",
"Id2"
],
"text": [
"Agra Airport is in India.",
"Agra airport is located in India."
],
"template": [
"AGENT-1 is in PATIENT-1 .",
"AGENT-1 is located in PATIENT-1 ."
],
"sorted_triple_sets": [
[
"Agra_Airport | ... | Explicit Graph Description | Take the following graph comprising triple sets, where each element of a triple is separated by "|" and each triple set by ",": {{modified_triple_sets.mtriple_set[0] | join(", ")}}. Make a verbalization of the triple set into plain text. ||| {{lex.text | choice}} | Take the following graph comprising triple sets, where each element of a triple is separated by "|" and each triple set by ",": Agra_Airport | location | India. Make a verbalization of the triple set into plain text. | Agra airport is located in India. | ||
Airport | 1 | Id52 | {
"otriple_set": [
[
"Agra_Airport | location | Uttar_Pradesh"
]
]
} | {
"mtriple_set": [
[
"Agra_Airport | location | Uttar_Pradesh"
]
]
} | {
"comment": [
"good",
"good"
],
"lid": [
"Id1",
"Id2"
],
"text": [
"Agra Airport is in Uttar Pradesh.",
"Agra Airport is located in Uttar Pradesh."
],
"template": [
"AGENT-1 is in PATIENT-1 .",
"AGENT-1 is located in PATIENT-1 ."
],
"sorted_triple_sets": [
[
... | Explicit Graph Description | Take the following graph comprising triple sets, where each element of a triple is separated by "|" and each triple set by ",": {{modified_triple_sets.mtriple_set[0] | join(", ")}}. Make a verbalization of the triple set into plain text. ||| {{lex.text | choice}} | Take the following graph comprising triple sets, where each element of a triple is separated by "|" and each triple set by ",": Agra_Airport | location | Uttar_Pradesh. Make a verbalization of the triple set into plain text. | Agra Airport is in Uttar Pradesh. | ||
Airport | 1 | Id53 | {
"otriple_set": [
[
"Agra_Airport | nativenameA | \"Kheria Air Force Station\"@en"
]
]
} | {
"mtriple_set": [
[
"Agra_Airport | nativeName | \"Kheria Air Force Station\""
]
]
} | {
"comment": [
"good",
"good"
],
"lid": [
"Id1",
"Id2"
],
"text": [
"Kheria Air Force Station is the native name of Agra Airport.",
"The native name of Agra Airport is Kheria Air Force Station."
],
"template": [
"PATIENT-1 is the native name of AGENT-1 .",
"The native name ... | Explicit Graph Description | Take the following graph comprising triple sets, where each element of a triple is separated by "|" and each triple set by ",": {{modified_triple_sets.mtriple_set[0] | join(", ")}}. Make a verbalization of the triple set into plain text. ||| {{lex.text | choice}} | Take the following graph comprising triple sets, where each element of a triple is separated by "|" and each triple set by ",": Agra_Airport | nativeName | "Kheria Air Force Station". Make a verbalization of the triple set into plain text. | Kheria Air Force Station is the native name of Agra Airport. | ||
Airport | 1 | Id54 | {
"otriple_set": [
[
"Agra_Airport | operator | Airports_Authority_of_India"
]
]
} | {
"mtriple_set": [
[
"Agra_Airport | operatingOrganisation | Airports_Authority_of_India"
]
]
} | {
"comment": [
"good",
"good"
],
"lid": [
"Id1",
"Id2"
],
"text": [
"The Airports Authority of India is the operating organisation of Agra Airport.",
"Agra Airport is operated by the Airports Authority of India."
],
"template": [
"PATIENT-1 is the operating organisation of AGEN... | Explicit Graph Description | Take the following graph comprising triple sets, where each element of a triple is separated by "|" and each triple set by ",": {{modified_triple_sets.mtriple_set[0] | join(", ")}}. Make a verbalization of the triple set into plain text. ||| {{lex.text | choice}} | Take the following graph comprising triple sets, where each element of a triple is separated by "|" and each triple set by ",": Agra_Airport | operatingOrganisation | Airports_Authority_of_India. Make a verbalization of the triple set into plain text. | The Airports Authority of India is the operating organisation of Agra Airport. | ||
Airport | 1 | Id55 | {
"otriple_set": [
[
"Agra_Airport | operator | Indian_Air_Force"
]
]
} | {
"mtriple_set": [
[
"Agra_Airport | operatingOrganisation | Indian_Air_Force"
]
]
} | {
"comment": [
"good",
"good",
"good"
],
"lid": [
"Id1",
"Id2",
"Id3"
],
"text": [
"The operating organization for Agra Airport is the Indian Air Force.",
"The Indian Air Force operates the Agra Airport.",
"Agra Airport is operated by the Indian Air Force."
],
"template... | Explicit Graph Description | Take the following graph comprising triple sets, where each element of a triple is separated by "|" and each triple set by ",": {{modified_triple_sets.mtriple_set[0] | join(", ")}}. Make a verbalization of the triple set into plain text. ||| {{lex.text | choice}} | Take the following graph comprising triple sets, where each element of a triple is separated by "|" and each triple set by ",": Agra_Airport | operatingOrganisation | Indian_Air_Force. Make a verbalization of the triple set into plain text. | The Indian Air Force operates the Agra Airport. | ||
Airport | 1 | Id56 | {
"otriple_set": [
[
"Agra_Airport | runwayLength | \"1818.0\"^^xsd:double"
]
]
} | {
"mtriple_set": [
[
"Agra_Airport | runwayLength | 1818.0"
]
]
} | {
"comment": [
"good",
"good"
],
"lid": [
"Id1",
"Id2"
],
"text": [
"1818 is the length of the runway of Agra Airport.",
"The length of the runway at Agra Airport is 1818.0."
],
"template": [
"PATIENT-1 is the length of the runway of AGENT-1 .",
"The length of the runway at... | Explicit Graph Description | Take the following graph comprising triple sets, where each element of a triple is separated by "|" and each triple set by ",": {{modified_triple_sets.mtriple_set[0] | join(", ")}}. Make a verbalization of the triple set into plain text. ||| {{lex.text | choice}} | Take the following graph comprising triple sets, where each element of a triple is separated by "|" and each triple set by ",": Agra_Airport | runwayLength | 1818.0. Make a verbalization of the triple set into plain text. | 1818 is the length of the runway of Agra Airport. | ||
Airport | 1 | Id57 | {
"otriple_set": [
[
"Agra_Airport | runwayLength | \"2743.0\"^^xsd:double"
]
]
} | {
"mtriple_set": [
[
"Agra_Airport | runwayLength | 2743.0"
]
]
} | {
"comment": [
"good"
],
"lid": [
"Id1"
],
"text": [
"Agra Airport's runway length is 2743.0."
],
"template": [
"AGENT-1 runway length is PATIENT-1 ."
],
"sorted_triple_sets": [
[
"Agra_Airport | runwayLength | 2743.0"
]
],
"lexicalization": [
"AGENT-1 runway leng... | Explicit Graph Description | Take the following graph comprising triple sets, where each element of a triple is separated by "|" and each triple set by ",": {{modified_triple_sets.mtriple_set[0] | join(", ")}}. Make a verbalization of the triple set into plain text. ||| {{lex.text | choice}} | Take the following graph comprising triple sets, where each element of a triple is separated by "|" and each triple set by ",": Agra_Airport | runwayLength | 2743.0. Make a verbalization of the triple set into plain text. | Agra Airport's runway length is 2743.0. | ||
Airport | 1 | Id58 | {
"otriple_set": [
[
"Al-Taqaddum_Air_Base | location | Habbaniyah"
]
]
} | {
"mtriple_set": [
[
"Al-Taqaddum_Air_Base | location | Habbaniyah"
]
]
} | {
"comment": [
"good",
"good"
],
"lid": [
"Id1",
"Id2"
],
"text": [
"Al Taqaddum Air Base is located in Habbaniyah.",
"The location of Al-Taqaddum Air Base is Habbaniyah."
],
"template": [
"AGENT-1 is located in PATIENT-1 .",
"The location of AGENT-1 is PATIENT-1 ."
],
... | Explicit Graph Description | Take the following graph comprising triple sets, where each element of a triple is separated by "|" and each triple set by ",": {{modified_triple_sets.mtriple_set[0] | join(", ")}}. Make a verbalization of the triple set into plain text. ||| {{lex.text | choice}} | Take the following graph comprising triple sets, where each element of a triple is separated by "|" and each triple set by ",": Al-Taqaddum_Air_Base | location | Habbaniyah. Make a verbalization of the triple set into plain text. | Al Taqaddum Air Base is located in Habbaniyah. | ||
Airport | 1 | Id59 | {
"otriple_set": [
[
"Al-Taqaddum_Air_Base | lid | \"MAT\"@en"
]
]
} | {
"mtriple_set": [
[
"Al-Taqaddum_Air_Base | locationIdentifier | \"MAT\""
]
]
} | {
"comment": [
"good",
"good"
],
"lid": [
"Id1",
"Id2"
],
"text": [
"The location identifier for Al-Taqaddum air base is MAT.",
"The location identifier of Al Taqaddum Air Base is MAT."
],
"template": [
"The location identifier for AGENT-1 is PATIENT-1 .",
"The location ide... | Explicit Graph Description | Take the following graph comprising triple sets, where each element of a triple is separated by "|" and each triple set by ",": {{modified_triple_sets.mtriple_set[0] | join(", ")}}. Make a verbalization of the triple set into plain text. ||| {{lex.text | choice}} | Take the following graph comprising triple sets, where each element of a triple is separated by "|" and each triple set by ",": Al-Taqaddum_Air_Base | locationIdentifier | "MAT". Make a verbalization of the triple set into plain text. | The location identifier for Al-Taqaddum air base is MAT. | ||
Airport | 1 | Id60 | {
"otriple_set": [
[
"Al-Taqaddum_Air_Base | runwayLength | \"4019.0\"^^xsd:double"
]
]
} | {
"mtriple_set": [
[
"Al-Taqaddum_Air_Base | runwayLength | 4019.0"
]
]
} | {
"comment": [
"good",
"good",
"good"
],
"lid": [
"Id1",
"Id2",
"Id3"
],
"text": [
"The runway length of Al-Taqaddum Air Base is 4,019.",
"The runway length of Al-Taqaddum air base is 4019.0.",
"The runway length of Al Taqaddum Air Base is 4019.0."
],
"template": [
... | Explicit Graph Description | Take the following graph comprising triple sets, where each element of a triple is separated by "|" and each triple set by ",": {{modified_triple_sets.mtriple_set[0] | join(", ")}}. Make a verbalization of the triple set into plain text. ||| {{lex.text | choice}} | Take the following graph comprising triple sets, where each element of a triple is separated by "|" and each triple set by ",": Al-Taqaddum_Air_Base | runwayLength | 4019.0. Make a verbalization of the triple set into plain text. | The runway length of Al-Taqaddum air base is 4019.0. | ||
Airport | 1 | Id61 | {
"otriple_set": [
[
"Al_Asad_Airbase | icaoLocationIdentifier | \"ORAA\""
]
]
} | {
"mtriple_set": [
[
"Al_Asad_Airbase | ICAO_Location_Identifier | \"ORAA\""
]
]
} | {
"comment": [
"good",
"good"
],
"lid": [
"Id1",
"Id2"
],
"text": [
"ORAA is the ICAO location identifier of Al Asad Airbase,.",
"The ICAO Location Identifier of Al Asad Airbase is ORAA."
],
"template": [
"PATIENT-1 is the ICAO location identifier of AGENT-1 , .",
"The ICAO... | Explicit Graph Description | Take the following graph comprising triple sets, where each element of a triple is separated by "|" and each triple set by ",": {{modified_triple_sets.mtriple_set[0] | join(", ")}}. Make a verbalization of the triple set into plain text. ||| {{lex.text | choice}} | Take the following graph comprising triple sets, where each element of a triple is separated by "|" and each triple set by ",": Al_Asad_Airbase | ICAO_Location_Identifier | "ORAA". Make a verbalization of the triple set into plain text. | ORAA is the ICAO location identifier of Al Asad Airbase,. | ||
Airport | 1 | Id62 | {
"otriple_set": [
[
"Al_Asad_Airbase | elevationF | 618"
]
]
} | {
"mtriple_set": [
[
"Al_Asad_Airbase | elevationAboveTheSeaLevel_(in_feet) | 618"
]
]
} | {
"comment": [
"good",
"good",
"good"
],
"lid": [
"Id1",
"Id2",
"Id3"
],
"text": [
"Al Asad Airbase is 618 feet above sea level.",
"The Al Asad Airbase is 618 ft above sea level.",
"Al Asad Airbase has an elevation above the sea level (in feet) of 618."
],
"template": [... | Explicit Graph Description | Take the following graph comprising triple sets, where each element of a triple is separated by "|" and each triple set by ",": {{modified_triple_sets.mtriple_set[0] | join(", ")}}. Make a verbalization of the triple set into plain text. ||| {{lex.text | choice}} | Take the following graph comprising triple sets, where each element of a triple is separated by "|" and each triple set by ",": Al_Asad_Airbase | elevationAboveTheSeaLevel_(in_feet) | 618. Make a verbalization of the triple set into plain text. | Al Asad Airbase has an elevation above the sea level (in feet) of 618. | ||
Airport | 1 | Id63 | {
"otriple_set": [
[
"Al_Asad_Airbase | location | \"Al Anbar Province, Iraq\"@en"
]
]
} | {
"mtriple_set": [
[
"Al_Asad_Airbase | location | \"Al Anbar Province, Iraq\""
]
]
} | {
"comment": [
"good",
"good",
"good"
],
"lid": [
"Id1",
"Id2",
"Id3"
],
"text": [
"The Al Asad Airbase is situated in the Al Anbar Province, Iraq.",
"Al Asad airbase is located at Al Anbar Province, Iraq.",
"Al Asad Airbase is located in Al Anbar Province, Iraq."
],
"t... | Explicit Graph Description | Take the following graph comprising triple sets, where each element of a triple is separated by "|" and each triple set by ",": {{modified_triple_sets.mtriple_set[0] | join(", ")}}. Make a verbalization of the triple set into plain text. ||| {{lex.text | choice}} | Take the following graph comprising triple sets, where each element of a triple is separated by "|" and each triple set by ",": Al_Asad_Airbase | location | "Al Anbar Province, Iraq". Make a verbalization of the triple set into plain text. | Al Asad airbase is located at Al Anbar Province, Iraq. | ||
Airport | 1 | Id64 | {
"otriple_set": [
[
"Al_Asad_Airbase | location | Iraq"
]
]
} | {
"mtriple_set": [
[
"Al_Asad_Airbase | location | Iraq"
]
]
} | {
"comment": [
"good",
"good",
"good"
],
"lid": [
"Id1",
"Id2",
"Id3"
],
"text": [
"Al Asad Airbase is found in Iraq.",
"The Al Asad Airbase is in Iraq.",
"Al Asad Airbase is in Iraq."
],
"template": [
"AGENT-1 is found in PATIENT-1 .",
"AGENT-1 is in PATIENT-1 ... | Explicit Graph Description | Take the following graph comprising triple sets, where each element of a triple is separated by "|" and each triple set by ",": {{modified_triple_sets.mtriple_set[0] | join(", ")}}. Make a verbalization of the triple set into plain text. ||| {{lex.text | choice}} | Take the following graph comprising triple sets, where each element of a triple is separated by "|" and each triple set by ",": Al_Asad_Airbase | location | Iraq. Make a verbalization of the triple set into plain text. | Al Asad Airbase is found in Iraq. | ||
Airport | 1 | Id65 | {
"otriple_set": [
[
"Al_Asad_Airbase | operator | United_States_Air_Force"
]
]
} | {
"mtriple_set": [
[
"Al_Asad_Airbase | operatingOrganisation | United_States_Air_Force"
]
]
} | {
"comment": [
"good",
"good"
],
"lid": [
"Id1",
"Id2"
],
"text": [
"Al Asad Airbase is operated by the United States Air Force.",
"The United States Air Force is the operating organisation for Al Asad airbase."
],
"template": [
"AGENT-1 is operated by PATIENT-1 .",
"PATIEN... | Explicit Graph Description | Take the following graph comprising triple sets, where each element of a triple is separated by "|" and each triple set by ",": {{modified_triple_sets.mtriple_set[0] | join(", ")}}. Make a verbalization of the triple set into plain text. ||| {{lex.text | choice}} | Take the following graph comprising triple sets, where each element of a triple is separated by "|" and each triple set by ",": Al_Asad_Airbase | operatingOrganisation | United_States_Air_Force. Make a verbalization of the triple set into plain text. | Al Asad Airbase is operated by the United States Air Force. | ||
Airport | 1 | Id66 | {
"otriple_set": [
[
"Al_Asad_Airbase | runwayLength | \"3078.48\"^^xsd:double"
]
]
} | {
"mtriple_set": [
[
"Al_Asad_Airbase | runwayLength | 3078.48"
]
]
} | {
"comment": [
"good",
"good"
],
"lid": [
"Id1",
"Id2"
],
"text": [
"The runway length of Al Asad Airbase is 3078.48.",
"Al Asad Airbase has a runway length of 3078.48."
],
"template": [
"The runway length of AGENT-1 is PATIENT-1 .",
"AGENT-1 has a runway length of PATIENT-... | Explicit Graph Description | Take the following graph comprising triple sets, where each element of a triple is separated by "|" and each triple set by ",": {{modified_triple_sets.mtriple_set[0] | join(", ")}}. Make a verbalization of the triple set into plain text. ||| {{lex.text | choice}} | Take the following graph comprising triple sets, where each element of a triple is separated by "|" and each triple set by ",": Al_Asad_Airbase | runwayLength | 3078.48. Make a verbalization of the triple set into plain text. | The runway length of Al Asad Airbase is 3078.48. | ||
Airport | 1 | Id67 | {
"otriple_set": [
[
"Al_Asad_Airbase | runwayLength | \"3090.0\"^^xsd:double"
]
]
} | {
"mtriple_set": [
[
"Al_Asad_Airbase | runwayLength | 3090.0"
]
]
} | {
"comment": [
"good",
"good",
"good"
],
"lid": [
"Id1",
"Id2",
"Id3"
],
"text": [
"The runway length of Al Asad Airbase is 3090 meters.",
"The runway length at Al Asad airbase is 3090.0.",
"Al Asad Airbase's runway length is 3090.0."
],
"template": [
"The runway le... | Explicit Graph Description | Take the following graph comprising triple sets, where each element of a triple is separated by "|" and each triple set by ",": {{modified_triple_sets.mtriple_set[0] | join(", ")}}. Make a verbalization of the triple set into plain text. ||| {{lex.text | choice}} | Take the following graph comprising triple sets, where each element of a triple is separated by "|" and each triple set by ",": Al_Asad_Airbase | runwayLength | 3090.0. Make a verbalization of the triple set into plain text. | Al Asad Airbase's runway length is 3090.0. | ||
Airport | 1 | Id68 | {
"otriple_set": [
[
"Al_Asad_Airbase | runwayLength | \"3990.0\"^^xsd:double"
]
]
} | {
"mtriple_set": [
[
"Al_Asad_Airbase | runwayLength | 3990.0"
]
]
} | {
"comment": [
"good",
"good",
"good"
],
"lid": [
"Id1",
"Id2",
"Id3"
],
"text": [
"The runway length of Al Asad Airbase is 3,990.",
"The runway length of Al Asad Airbase is 3990.0.",
"The Al Asad Airbase has a runway length of 3990.0."
],
"template": [
"The runway ... | Explicit Graph Description | Take the following graph comprising triple sets, where each element of a triple is separated by "|" and each triple set by ",": {{modified_triple_sets.mtriple_set[0] | join(", ")}}. Make a verbalization of the triple set into plain text. ||| {{lex.text | choice}} | Take the following graph comprising triple sets, where each element of a triple is separated by "|" and each triple set by ",": Al_Asad_Airbase | runwayLength | 3990.0. Make a verbalization of the triple set into plain text. | The runway length of Al Asad Airbase is 3990.0. | ||
Airport | 1 | Id69 | {
"otriple_set": [
[
"Al_Asad_Airbase | runwayLength | \"3992.88\"^^xsd:double"
]
]
} | {
"mtriple_set": [
[
"Al_Asad_Airbase | runwayLength | 3992.88"
]
]
} | {
"comment": [
"good",
"good"
],
"lid": [
"Id1",
"Id2"
],
"text": [
"The runway length of Al Asad Airbase is 3,992.88.",
"3992.88 is the length of the runway at Al Asad Airbase."
],
"template": [
"The runway length of AGENT-1 is PATIENT-1 .",
"PATIENT-1 is the length of the... | Explicit Graph Description | Take the following graph comprising triple sets, where each element of a triple is separated by "|" and each triple set by ",": {{modified_triple_sets.mtriple_set[0] | join(", ")}}. Make a verbalization of the triple set into plain text. ||| {{lex.text | choice}} | Take the following graph comprising triple sets, where each element of a triple is separated by "|" and each triple set by ",": Al_Asad_Airbase | runwayLength | 3992.88. Make a verbalization of the triple set into plain text. | The runway length of Al Asad Airbase is 3,992.88. | ||
Airport | 1 | Id70 | {
"otriple_set": [
[
"Al_Asad_Airbase | runwayDesignation | \"08/26\""
]
]
} | {
"mtriple_set": [
[
"Al_Asad_Airbase | runwayName | \"08/26\""
]
]
} | {
"comment": [
"good",
"good",
"good"
],
"lid": [
"Id1",
"Id2",
"Id3"
],
"text": [
"''08/26'' is the runway name at Al Asad Airbase.",
"08/26 is the runway name of the Al Asad Airbase.",
"The runway name of Al Asad Airbase is 08/26."
],
"template": [
"'' PATIENT-1 '... | Explicit Graph Description | Take the following graph comprising triple sets, where each element of a triple is separated by "|" and each triple set by ",": {{modified_triple_sets.mtriple_set[0] | join(", ")}}. Make a verbalization of the triple set into plain text. ||| {{lex.text | choice}} | Take the following graph comprising triple sets, where each element of a triple is separated by "|" and each triple set by ",": Al_Asad_Airbase | runwayName | "08/26". Make a verbalization of the triple set into plain text. | ''08/26'' is the runway name at Al Asad Airbase. | ||
Airport | 1 | Id71 | {
"otriple_set": [
[
"Al_Asad_Airbase | runwayDesignation | \"09L/27R\""
]
]
} | {
"mtriple_set": [
[
"Al_Asad_Airbase | runwayName | \"09L/27R\""
]
]
} | {
"comment": [
"good",
"good"
],
"lid": [
"Id1",
"Id2"
],
"text": [
"The runway name of Al Asad Airbase is 09L/27R.",
"The AI Asad Airbase's runway name is \"09L/27R\"."
],
"template": [
"The runway name of AGENT-1 is PATIENT-1 .",
"AGENT-1 runway name is `` PATIENT-1 '' ."... | Explicit Graph Description | Take the following graph comprising triple sets, where each element of a triple is separated by "|" and each triple set by ",": {{modified_triple_sets.mtriple_set[0] | join(", ")}}. Make a verbalization of the triple set into plain text. ||| {{lex.text | choice}} | Take the following graph comprising triple sets, where each element of a triple is separated by "|" and each triple set by ",": Al_Asad_Airbase | runwayName | "09L/27R". Make a verbalization of the triple set into plain text. | The runway name of Al Asad Airbase is 09L/27R. | ||
Airport | 1 | Id72 | {
"otriple_set": [
[
"Al_Asad_Airbase | runwayDesignation | \"09R/27L\""
]
]
} | {
"mtriple_set": [
[
"Al_Asad_Airbase | runwayName | \"09R/27L\""
]
]
} | {
"comment": [
"good",
"good",
"good"
],
"lid": [
"Id1",
"Id2",
"Id3"
],
"text": [
"09R/27L is the runway name at Al Asad airbase.",
"The name of the runway at al Asad Airbase is 09R/27L.",
"Al Asad Airbase has the runway name 09R/27L."
],
"template": [
"PATIENT-1 i... | Explicit Graph Description | Take the following graph comprising triple sets, where each element of a triple is separated by "|" and each triple set by ",": {{modified_triple_sets.mtriple_set[0] | join(", ")}}. Make a verbalization of the triple set into plain text. ||| {{lex.text | choice}} | Take the following graph comprising triple sets, where each element of a triple is separated by "|" and each triple set by ",": Al_Asad_Airbase | runwayName | "09R/27L". Make a verbalization of the triple set into plain text. | Al Asad Airbase has the runway name 09R/27L. | ||
Airport | 1 | Id73 | {
"otriple_set": [
[
"Alcobendas | country | Spain"
]
]
} | {
"mtriple_set": [
[
"Alcobendas | country | Spain"
]
]
} | {
"comment": [
"good",
"good"
],
"lid": [
"Id1",
"Id2"
],
"text": [
"Alcobendas is located in Spain.",
"Alcobendas is in Spain."
],
"template": [
"AGENT-1 is located in PATIENT-1 .",
"AGENT-1 is in PATIENT-1 ."
],
"sorted_triple_sets": [
[
"Alcobendas | countr... | Explicit Graph Description | Take the following graph comprising triple sets, where each element of a triple is separated by "|" and each triple set by ",": {{modified_triple_sets.mtriple_set[0] | join(", ")}}. Make a verbalization of the triple set into plain text. ||| {{lex.text | choice}} | Take the following graph comprising triple sets, where each element of a triple is separated by "|" and each triple set by ",": Alcobendas | country | Spain. Make a verbalization of the triple set into plain text. | Alcobendas is in Spain. | ||
Airport | 1 | Id74 | {
"otriple_set": [
[
"Alcobendas | isPartOf | Community_of_Madrid"
]
]
} | {
"mtriple_set": [
[
"Alcobendas | isPartOf | Community_of_Madrid"
]
]
} | {
"comment": [
"good",
"good"
],
"lid": [
"Id1",
"Id2"
],
"text": [
"Alcobendas is part of Community of Madrid.",
"Alcobendas is part of the community of Madrid."
],
"template": [
"AGENT-1 is part of PATIENT-1 .",
"AGENT-1 is part of PATIENT-1 ."
],
"sorted_triple_sets"... | Explicit Graph Description | Take the following graph comprising triple sets, where each element of a triple is separated by "|" and each triple set by ",": {{modified_triple_sets.mtriple_set[0] | join(", ")}}. Make a verbalization of the triple set into plain text. ||| {{lex.text | choice}} | Take the following graph comprising triple sets, where each element of a triple is separated by "|" and each triple set by ",": Alcobendas | isPartOf | Community_of_Madrid. Make a verbalization of the triple set into plain text. | Alcobendas is part of the community of Madrid. | ||
Airport | 1 | Id75 | {
"otriple_set": [
[
"Alcobendas | leaderParty | People's_Party_(Spain)"
]
]
} | {
"mtriple_set": [
[
"Alcobendas | leaderParty | People's_Party_(Spain)"
]
]
} | {
"comment": [
"good"
],
"lid": [
"Id1"
],
"text": [
"The leader party at Alcobendas is the Peoples Party (Spain)."
],
"template": [
"The leader party at AGENT-1 is PATIENT-1 ."
],
"sorted_triple_sets": [
[
"Alcobendas | leaderParty | Peoples_Party_(Spain)"
]
],
"lexi... | Explicit Graph Description | Take the following graph comprising triple sets, where each element of a triple is separated by "|" and each triple set by ",": {{modified_triple_sets.mtriple_set[0] | join(", ")}}. Make a verbalization of the triple set into plain text. ||| {{lex.text | choice}} | Take the following graph comprising triple sets, where each element of a triple is separated by "|" and each triple set by ",": Alcobendas | leaderParty | People's_Party_(Spain). Make a verbalization of the triple set into plain text. | The leader party at Alcobendas is the Peoples Party (Spain). | ||
Airport | 1 | Id76 | {
"otriple_set": [
[
"Alderney | capital | Saint_Anne,_Alderney"
]
]
} | {
"mtriple_set": [
[
"Alderney | capital | Saint_Anne,_Alderney"
]
]
} | {
"comment": [
"good"
],
"lid": [
"Id1"
],
"text": [
"Saint Anne is the capital of Alderney."
],
"template": [
"PATIENT-1 is the capital of AGENT-1 ."
],
"sorted_triple_sets": [
[
"Alderney | capital | Saint_Anne,_Alderney"
]
],
"lexicalization": [
"PATIENT-1 VP[a... | Explicit Graph Description | Take the following graph comprising triple sets, where each element of a triple is separated by "|" and each triple set by ",": {{modified_triple_sets.mtriple_set[0] | join(", ")}}. Make a verbalization of the triple set into plain text. ||| {{lex.text | choice}} | Take the following graph comprising triple sets, where each element of a triple is separated by "|" and each triple set by ",": Alderney | capital | Saint_Anne,_Alderney. Make a verbalization of the triple set into plain text. | Saint Anne is the capital of Alderney. | ||
Airport | 1 | Id77 | {
"otriple_set": [
[
"Alderney | language | English_language"
]
]
} | {
"mtriple_set": [
[
"Alderney | language | English_language"
]
]
} | {
"comment": [
"good",
"good",
"good"
],
"lid": [
"Id1",
"Id2",
"Id3"
],
"text": [
"The main language spoken on Alderney is English.",
"The English language is spoken in Alderney.",
"Alderney uses the English language."
],
"template": [
"The main language spoken on ... | Explicit Graph Description | Take the following graph comprising triple sets, where each element of a triple is separated by "|" and each triple set by ",": {{modified_triple_sets.mtriple_set[0] | join(", ")}}. Make a verbalization of the triple set into plain text. ||| {{lex.text | choice}} | Take the following graph comprising triple sets, where each element of a triple is separated by "|" and each triple set by ",": Alderney | language | English_language. Make a verbalization of the triple set into plain text. | The English language is spoken in Alderney. | ||
Airport | 1 | Id78 | {
"otriple_set": [
[
"Alderney | leader | Elizabeth_II"
]
]
} | {
"mtriple_set": [
[
"Alderney | leaderName | Elizabeth_II"
]
]
} | {
"comment": [
"good",
"good",
"good"
],
"lid": [
"Id1",
"Id2",
"Id3"
],
"text": [
"Alderney's leader name is Elizabeth II.",
"Aldernay's leader is Elizabeth II.",
"The leader's name of Alderney is Elizabeth II."
],
"template": [
"AGENT-1 leader name is PATIENT-1 ."... | Explicit Graph Description | Take the following graph comprising triple sets, where each element of a triple is separated by "|" and each triple set by ",": {{modified_triple_sets.mtriple_set[0] | join(", ")}}. Make a verbalization of the triple set into plain text. ||| {{lex.text | choice}} | Take the following graph comprising triple sets, where each element of a triple is separated by "|" and each triple set by ",": Alderney | leaderName | Elizabeth_II. Make a verbalization of the triple set into plain text. | The leader's name of Alderney is Elizabeth II. | ||
Airport | 1 | Id79 | {
"otriple_set": [
[
"Alderney_Airport | r1Surface | Asphalt"
]
]
} | {
"mtriple_set": [
[
"Alderney_Airport | 1st_runway_SurfaceType | Asphalt"
]
]
} | {
"comment": [
"good",
"good",
"good"
],
"lid": [
"Id1",
"Id2",
"Id3"
],
"text": [
"The first runway at Alderney Airport is made of asphalt.",
"The 1st runway at Alderney airport has an asphalt surface.",
"The 1st runway at Alderney Airport is made from Asphalt."
],
"te... | Explicit Graph Description | Take the following graph comprising triple sets, where each element of a triple is separated by "|" and each triple set by ",": {{modified_triple_sets.mtriple_set[0] | join(", ")}}. Make a verbalization of the triple set into plain text. ||| {{lex.text | choice}} | Take the following graph comprising triple sets, where each element of a triple is separated by "|" and each triple set by ",": Alderney_Airport | 1st_runway_SurfaceType | Asphalt. Make a verbalization of the triple set into plain text. | The 1st runway at Alderney airport has an asphalt surface. | ||
Airport | 1 | Id80 | {
"otriple_set": [
[
"Alderney_Airport | r1Surface | Poaceae"
]
]
} | {
"mtriple_set": [
[
"Alderney_Airport | 1st_runway_SurfaceType | Poaceae"
]
]
} | {
"comment": [
"good",
"good"
],
"lid": [
"Id1",
"Id2"
],
"text": [
"The surface of the 1st runway at Alderney airport is poaceae.",
"The 1st runway at Alderney Airport is made from Poaceae."
],
"template": [
"The surface of the 1st runway at AGENT-1 is PATIENT-1 .",
"The 1... | Explicit Graph Description | Take the following graph comprising triple sets, where each element of a triple is separated by "|" and each triple set by ",": {{modified_triple_sets.mtriple_set[0] | join(", ")}}. Make a verbalization of the triple set into plain text. ||| {{lex.text | choice}} | Take the following graph comprising triple sets, where each element of a triple is separated by "|" and each triple set by ",": Alderney_Airport | 1st_runway_SurfaceType | Poaceae. Make a verbalization of the triple set into plain text. | The surface of the 1st runway at Alderney airport is poaceae. | ||
Airport | 1 | Id81 | {
"otriple_set": [
[
"Alderney_Airport | elevation | \"88.392\"^^xsd:double"
]
]
} | {
"mtriple_set": [
[
"Alderney_Airport | elevationAboveTheSeaLevel_(in_metres) | 88.0"
]
]
} | {
"comment": [
"good",
"good"
],
"lid": [
"Id1",
"Id2"
],
"text": [
"Alderney Airport is 88 metres above sea level.",
"The Alderney Airport elevation above the sea level (in meters) is 88."
],
"template": [
"AGENT-1 is PATIENT-1 above sea level .",
"The AGENT-1 elevation ab... | Explicit Graph Description | Take the following graph comprising triple sets, where each element of a triple is separated by "|" and each triple set by ",": {{modified_triple_sets.mtriple_set[0] | join(", ")}}. Make a verbalization of the triple set into plain text. ||| {{lex.text | choice}} | Take the following graph comprising triple sets, where each element of a triple is separated by "|" and each triple set by ",": Alderney_Airport | elevationAboveTheSeaLevel_(in_metres) | 88.0. Make a verbalization of the triple set into plain text. | The Alderney Airport elevation above the sea level (in meters) is 88. | ||
Airport | 1 | Id82 | {
"otriple_set": [
[
"Alderney_Airport | runwayLength | \"497.0\"^^xsd:double"
]
]
} | {
"mtriple_set": [
[
"Alderney_Airport | runwayLength | 497.0"
]
]
} | {
"comment": [
"good",
"good"
],
"lid": [
"Id1",
"Id2"
],
"text": [
"Alderney Airport has a runway length of 497.0.",
"The runway length of Alderney Airport is 497.0."
],
"template": [
"AGENT-1 has a runway length of PATIENT-1 .",
"The runway length of AGENT-1 is PATIENT-1 ... | Explicit Graph Description | Take the following graph comprising triple sets, where each element of a triple is separated by "|" and each triple set by ",": {{modified_triple_sets.mtriple_set[0] | join(", ")}}. Make a verbalization of the triple set into plain text. ||| {{lex.text | choice}} | Take the following graph comprising triple sets, where each element of a triple is separated by "|" and each triple set by ",": Alderney_Airport | runwayLength | 497.0. Make a verbalization of the triple set into plain text. | Alderney Airport has a runway length of 497.0. | ||
Airport | 1 | Id83 | {
"otriple_set": [
[
"Alderney_Airport | runwayLength | \"733.044\"^^xsd:double"
]
]
} | {
"mtriple_set": [
[
"Alderney_Airport | runwayLength | 733.0"
]
]
} | {
"comment": [
"good"
],
"lid": [
"Id1"
],
"text": [
"The Alderney Airport runway has a length of 733.0."
],
"template": [
"The AGENT-1 runway has a length of PATIENT-1 ."
],
"sorted_triple_sets": [
[
"Alderney_Airport | runwayLength | 733.0"
]
],
"lexicalization": [
... | Explicit Graph Description | Take the following graph comprising triple sets, where each element of a triple is separated by "|" and each triple set by ",": {{modified_triple_sets.mtriple_set[0] | join(", ")}}. Make a verbalization of the triple set into plain text. ||| {{lex.text | choice}} | Take the following graph comprising triple sets, where each element of a triple is separated by "|" and each triple set by ",": Alderney_Airport | runwayLength | 733.0. Make a verbalization of the triple set into plain text. | The Alderney Airport runway has a length of 733.0. | ||
Airport | 1 | Id84 | {
"otriple_set": [
[
"Alderney_Airport | runwayLength | \"877.0\"^^xsd:double"
]
]
} | {
"mtriple_set": [
[
"Alderney_Airport | runwayLength | 877.0"
]
]
} | {
"comment": [
"good",
"good",
"good"
],
"lid": [
"Id1",
"Id2",
"Id3"
],
"text": [
"The runway length of Alderney Airport is 877.",
"Alderney Airport's runway has a length of 877.0.",
"The runway length of Alderney Airport is 877.0."
],
"template": [
"The runway len... | Explicit Graph Description | Take the following graph comprising triple sets, where each element of a triple is separated by "|" and each triple set by ",": {{modified_triple_sets.mtriple_set[0] | join(", ")}}. Make a verbalization of the triple set into plain text. ||| {{lex.text | choice}} | Take the following graph comprising triple sets, where each element of a triple is separated by "|" and each triple set by ",": Alderney_Airport | runwayLength | 877.0. Make a verbalization of the triple set into plain text. | The runway length of Alderney Airport is 877.0. | ||
Airport | 1 | Id85 | {
"otriple_set": [
[
"Alderney_Airport | runwayDesignation | \"03/21\""
]
]
} | {
"mtriple_set": [
[
"Alderney_Airport | runwayName | \"03/21\""
]
]
} | {
"comment": [
"good",
"good",
"good"
],
"lid": [
"Id1",
"Id2",
"Id3"
],
"text": [
"Alderney Airport runway name is 03/21.",
"The runway name of Alderney Airport is 03/21.",
"The runway at Alderney Airport is named 03/21."
],
"template": [
"AGENT-1 runway name is PA... | Explicit Graph Description | Take the following graph comprising triple sets, where each element of a triple is separated by "|" and each triple set by ",": {{modified_triple_sets.mtriple_set[0] | join(", ")}}. Make a verbalization of the triple set into plain text. ||| {{lex.text | choice}} | Take the following graph comprising triple sets, where each element of a triple is separated by "|" and each triple set by ",": Alderney_Airport | runwayName | "03/21". Make a verbalization of the triple set into plain text. | The runway name of Alderney Airport is 03/21. | ||
Airport | 1 | Id86 | {
"otriple_set": [
[
"Alderney_Airport | runwayDesignation | \"08/26\""
]
]
} | {
"mtriple_set": [
[
"Alderney_Airport | runwayName | \"08/26\""
]
]
} | {
"comment": [
"good",
"good"
],
"lid": [
"Id1",
"Id2"
],
"text": [
"08/26 is the runway name of Alderney Airport.",
"The runway name of Alderney Airport is 08/26."
],
"template": [
"PATIENT-1 is the runway name of AGENT-1 .",
"The runway name of AGENT-1 is PATIENT-1 ."
]... | Explicit Graph Description | Take the following graph comprising triple sets, where each element of a triple is separated by "|" and each triple set by ",": {{modified_triple_sets.mtriple_set[0] | join(", ")}}. Make a verbalization of the triple set into plain text. ||| {{lex.text | choice}} | Take the following graph comprising triple sets, where each element of a triple is separated by "|" and each triple set by ",": Alderney_Airport | runwayName | "08/26". Make a verbalization of the triple set into plain text. | 08/26 is the runway name of Alderney Airport. | ||
Airport | 1 | Id87 | {
"otriple_set": [
[
"Allama_Iqbal_International_Airport | city | Lahore"
]
]
} | {
"mtriple_set": [
[
"Allama_Iqbal_International_Airport | cityServed | Lahore"
]
]
} | {
"comment": [
"good",
"good"
],
"lid": [
"Id1",
"Id2"
],
"text": [
"Allama Iqbal International Airport serves the city of Lahore.",
"The city of Lahore is served by Allama Iqbal International airport."
],
"template": [
"AGENT-1 serves the city of PATIENT-1 .",
"The city of... | Explicit Graph Description | Take the following graph comprising triple sets, where each element of a triple is separated by "|" and each triple set by ",": {{modified_triple_sets.mtriple_set[0] | join(", ")}}. Make a verbalization of the triple set into plain text. ||| {{lex.text | choice}} | Take the following graph comprising triple sets, where each element of a triple is separated by "|" and each triple set by ",": Allama_Iqbal_International_Airport | cityServed | Lahore. Make a verbalization of the triple set into plain text. | Allama Iqbal International Airport serves the city of Lahore. | ||
Airport | 1 | Id88 | {
"otriple_set": [
[
"Allama_Iqbal_International_Airport | location | Pakistan"
]
]
} | {
"mtriple_set": [
[
"Allama_Iqbal_International_Airport | location | Pakistan"
]
]
} | {
"comment": [
"good"
],
"lid": [
"Id1"
],
"text": [
"Allama Iqbal International airport is located in Pakistan."
],
"template": [
"AGENT-1 is located in PATIENT-1 ."
],
"sorted_triple_sets": [
[
"Allama_Iqbal_International_Airport | location | Pakistan"
]
],
"lexical... | Explicit Graph Description | Take the following graph comprising triple sets, where each element of a triple is separated by "|" and each triple set by ",": {{modified_triple_sets.mtriple_set[0] | join(", ")}}. Make a verbalization of the triple set into plain text. ||| {{lex.text | choice}} | Take the following graph comprising triple sets, where each element of a triple is separated by "|" and each triple set by ",": Allama_Iqbal_International_Airport | location | Pakistan. Make a verbalization of the triple set into plain text. | Allama Iqbal International airport is located in Pakistan. | ||
Airport | 1 | Id89 | {
"otriple_set": [
[
"Allama_Iqbal_International_Airport | location | Punjab,_Pakistan"
]
]
} | {
"mtriple_set": [
[
"Allama_Iqbal_International_Airport | location | Punjab,_Pakistan"
]
]
} | {
"comment": [
"good",
"good",
"good"
],
"lid": [
"Id1",
"Id2",
"Id3"
],
"text": [
"Allama Iqbal International Airport is found in Punjab, Pakistan.",
"Allama Iqbal International Airport is located in Punjab, Pakistan.",
"Allama Iqbal International airport is located in Pun... | Explicit Graph Description | Take the following graph comprising triple sets, where each element of a triple is separated by "|" and each triple set by ",": {{modified_triple_sets.mtriple_set[0] | join(", ")}}. Make a verbalization of the triple set into plain text. ||| {{lex.text | choice}} | Take the following graph comprising triple sets, where each element of a triple is separated by "|" and each triple set by ",": Allama_Iqbal_International_Airport | location | Punjab,_Pakistan. Make a verbalization of the triple set into plain text. | Allama Iqbal International Airport is located in Punjab, Pakistan. | ||
Airport | 1 | Id90 | {
"otriple_set": [
[
"Allama_Iqbal_International_Airport | operator | Pakistan_Civil_Aviation_Authority"
]
]
} | {
"mtriple_set": [
[
"Allama_Iqbal_International_Airport | operatingOrganisation | Pakistan_Civil_Aviation_Authority"
]
]
} | {
"comment": [
"good",
"good",
"good"
],
"lid": [
"Id1",
"Id2",
"Id3"
],
"text": [
"The Pakistan Civil Aviation Authority governs the Allama Iqbal International Airport.",
"The Pakistan Civil Aviation Authority is the operating organisation of the Allama Iqbal International Air... | Explicit Graph Description | Take the following graph comprising triple sets, where each element of a triple is separated by "|" and each triple set by ",": {{modified_triple_sets.mtriple_set[0] | join(", ")}}. Make a verbalization of the triple set into plain text. ||| {{lex.text | choice}} | Take the following graph comprising triple sets, where each element of a triple is separated by "|" and each triple set by ",": Allama_Iqbal_International_Airport | operatingOrganisation | Pakistan_Civil_Aviation_Authority. Make a verbalization of the triple set into plain text. | The Pakistan Civil Aviation Authority governs the Allama Iqbal International Airport. | ||
Airport | 1 | Id91 | {
"otriple_set": [
[
"Allama_Iqbal_International_Airport | runwayLength | \"2899.87\"^^xsd:double"
]
]
} | {
"mtriple_set": [
[
"Allama_Iqbal_International_Airport | runwayLength | 2900.0"
]
]
} | {
"comment": [
"good"
],
"lid": [
"Id1"
],
"text": [
"The runway length of Allama Iqbal International Airport is 2900.0."
],
"template": [
"The runway length of AGENT-1 is PATIENT-1 ."
],
"sorted_triple_sets": [
[
"Allama_Iqbal_International_Airport | runwayLength | 2900.0"
... | Explicit Graph Description | Take the following graph comprising triple sets, where each element of a triple is separated by "|" and each triple set by ",": {{modified_triple_sets.mtriple_set[0] | join(", ")}}. Make a verbalization of the triple set into plain text. ||| {{lex.text | choice}} | Take the following graph comprising triple sets, where each element of a triple is separated by "|" and each triple set by ",": Allama_Iqbal_International_Airport | runwayLength | 2900.0. Make a verbalization of the triple set into plain text. | The runway length of Allama Iqbal International Airport is 2900.0. | ||
Airport | 1 | Id92 | {
"otriple_set": [
[
"Allama_Iqbal_International_Airport | runwayLength | \"3310.0\"^^xsd:double"
]
]
} | {
"mtriple_set": [
[
"Allama_Iqbal_International_Airport | runwayLength | 3310.0"
]
]
} | {
"comment": [
"good",
"good",
"good"
],
"lid": [
"Id1",
"Id2",
"Id3"
],
"text": [
"The runway length of Allama Iqbal International Airport is 3,310.",
"Allama Iqbal International airport has a runway length of 3310.0.",
"The runway length of Allama Iqbal International Airp... | Explicit Graph Description | Take the following graph comprising triple sets, where each element of a triple is separated by "|" and each triple set by ",": {{modified_triple_sets.mtriple_set[0] | join(", ")}}. Make a verbalization of the triple set into plain text. ||| {{lex.text | choice}} | Take the following graph comprising triple sets, where each element of a triple is separated by "|" and each triple set by ",": Allama_Iqbal_International_Airport | runwayLength | 3310.0. Make a verbalization of the triple set into plain text. | The runway length of Allama Iqbal International Airport is 3310.0. | ||
Airport | 1 | Id93 | {
"otriple_set": [
[
"Allama_Iqbal_International_Airport | runwayDesignation | \"18L/36R\""
]
]
} | {
"mtriple_set": [
[
"Allama_Iqbal_International_Airport | runwayName | \"18L/36R\""
]
]
} | {
"comment": [
"good",
"good",
"good"
],
"lid": [
"Id1",
"Id2",
"Id3"
],
"text": [
"The runway name at Allama Iqbal International airport is 18L/36R.",
"The Allama Iqbal International Airport's runway name is \"18L/36R\".",
"The runway name of Allama Iqbal International Air... | Explicit Graph Description | Take the following graph comprising triple sets, where each element of a triple is separated by "|" and each triple set by ",": {{modified_triple_sets.mtriple_set[0] | join(", ")}}. Make a verbalization of the triple set into plain text. ||| {{lex.text | choice}} | Take the following graph comprising triple sets, where each element of a triple is separated by "|" and each triple set by ",": Allama_Iqbal_International_Airport | runwayName | "18L/36R". Make a verbalization of the triple set into plain text. | The runway name of Allama Iqbal International Airport is 18L/36R. | ||
Airport | 1 | Id94 | {
"otriple_set": [
[
"Alpena,_Michigan | country | United_States"
]
]
} | {
"mtriple_set": [
[
"Alpena,_Michigan | country | United_States"
]
]
} | {
"comment": [
"good",
"good",
"good"
],
"lid": [
"Id1",
"Id2",
"Id3"
],
"text": [
"Alpena Michigan is a country in United States.",
"Alpena, Michigan is in the U.S.",
"Alpena, Michigan is located in the United States."
],
"template": [
"AGENT-1 is a country in PATI... | Explicit Graph Description | Take the following graph comprising triple sets, where each element of a triple is separated by "|" and each triple set by ",": {{modified_triple_sets.mtriple_set[0] | join(", ")}}. Make a verbalization of the triple set into plain text. ||| {{lex.text | choice}} | Take the following graph comprising triple sets, where each element of a triple is separated by "|" and each triple set by ",": Alpena,_Michigan | country | United_States. Make a verbalization of the triple set into plain text. | Alpena, Michigan is located in the United States. | ||
Airport | 1 | Id95 | {
"otriple_set": [
[
"Alpena_County_Regional_Airport | r1LengthF | 9001"
]
]
} | {
"mtriple_set": [
[
"Alpena_County_Regional_Airport | 1st_runway_LengthFeet | 9001"
]
]
} | {
"comment": [
"good",
"good"
],
"lid": [
"Id1",
"Id2"
],
"text": [
"The length of the first runway of Alpena County Regional Airport is 9001.",
"The first runway length in feet of Alpena County Regional Airport is 9001."
],
"template": [
"The length of the first runway of AGEN... | Explicit Graph Description | Take the following graph comprising triple sets, where each element of a triple is separated by "|" and each triple set by ",": {{modified_triple_sets.mtriple_set[0] | join(", ")}}. Make a verbalization of the triple set into plain text. ||| {{lex.text | choice}} | Take the following graph comprising triple sets, where each element of a triple is separated by "|" and each triple set by ",": Alpena_County_Regional_Airport | 1st_runway_LengthFeet | 9001. Make a verbalization of the triple set into plain text. | The first runway length in feet of Alpena County Regional Airport is 9001. | ||
Airport | 1 | Id96 | {
"otriple_set": [
[
"Alpena_County_Regional_Airport | city | Alpena,_Michigan"
]
]
} | {
"mtriple_set": [
[
"Alpena_County_Regional_Airport | cityServed | Alpena,_Michigan"
]
]
} | {
"comment": [
"good",
"good",
"good"
],
"lid": [
"Id1",
"Id2",
"Id3"
],
"text": [
"Alpena County Regional Airport city served Alpena, Michigan.",
"Alpena County Regional Airport serves the city of Alpena, Michigan.",
"Alpena County Regional Airport serves Alpena, Michigan.... | Explicit Graph Description | Take the following graph comprising triple sets, where each element of a triple is separated by "|" and each triple set by ",": {{modified_triple_sets.mtriple_set[0] | join(", ")}}. Make a verbalization of the triple set into plain text. ||| {{lex.text | choice}} | Take the following graph comprising triple sets, where each element of a triple is separated by "|" and each triple set by ",": Alpena_County_Regional_Airport | cityServed | Alpena,_Michigan. Make a verbalization of the triple set into plain text. | Alpena County Regional Airport serves Alpena, Michigan. | ||
Airport | 1 | Id97 | {
"otriple_set": [
[
"Alpena_County_Regional_Airport | elevationM | 210"
]
]
} | {
"mtriple_set": [
[
"Alpena_County_Regional_Airport | elevationAboveTheSeaLevel_(in_metres) | 210"
]
]
} | {
"comment": [
"good",
"good",
"good"
],
"lid": [
"Id1",
"Id2",
"Id3"
],
"text": [
"lpena County Regional Airport elevation above the sea level in metres is 210.",
"Alpena County Regional Airport has an elevation of 210 metres above sea level.",
"Aplena County Regional Airp... | Explicit Graph Description | Take the following graph comprising triple sets, where each element of a triple is separated by "|" and each triple set by ",": {{modified_triple_sets.mtriple_set[0] | join(", ")}}. Make a verbalization of the triple set into plain text. ||| {{lex.text | choice}} | Take the following graph comprising triple sets, where each element of a triple is separated by "|" and each triple set by ",": Alpena_County_Regional_Airport | elevationAboveTheSeaLevel_(in_metres) | 210. Make a verbalization of the triple set into plain text. | Alpena County Regional Airport has an elevation of 210 metres above sea level. | ||
Airport | 1 | Id98 | {
"otriple_set": [
[
"Alpena_County_Regional_Airport | location | Maple_Ridge_Township,_Alpena_County,_Michigan"
]
]
} | {
"mtriple_set": [
[
"Alpena_County_Regional_Airport | location | Maple_Ridge_Township,_Alpena_County,_Michigan"
]
]
} | {
"comment": [
"good",
"good",
"good"
],
"lid": [
"Id1",
"Id2",
"Id3"
],
"text": [
"Alpena County Regional Airport is found in Maple Ridge Township, Alpena County in Michigan.",
"The location of Alpena County Regional Airport is Maple Ridge Township, Alpena County, Michigan.",
... | Explicit Graph Description | Take the following graph comprising triple sets, where each element of a triple is separated by "|" and each triple set by ",": {{modified_triple_sets.mtriple_set[0] | join(", ")}}. Make a verbalization of the triple set into plain text. ||| {{lex.text | choice}} | Take the following graph comprising triple sets, where each element of a triple is separated by "|" and each triple set by ",": Alpena_County_Regional_Airport | location | Maple_Ridge_Township,_Alpena_County,_Michigan. Make a verbalization of the triple set into plain text. | Alpena County Regional Airport is located in Maple Ridge Township, Alpena County, Michigan. | ||
Airport | 1 | Id99 | {
"otriple_set": [
[
"Alpena_County_Regional_Airport | location | Wilson_Township,_Alpena_County,_Michigan"
]
]
} | {
"mtriple_set": [
[
"Alpena_County_Regional_Airport | location | Wilson_Township,_Alpena_County,_Michigan"
]
]
} | {
"comment": [
"good",
"good",
"good"
],
"lid": [
"Id1",
"Id2",
"Id3"
],
"text": [
"Alpena County Regional Airport is found in Wilson Township, Alpena County, Michigan.",
"Alpena County Regional Airport is located in the Wilson Township, Alpena County, Michigan.",
"The loca... | Explicit Graph Description | Take the following graph comprising triple sets, where each element of a triple is separated by "|" and each triple set by ",": {{modified_triple_sets.mtriple_set[0] | join(", ")}}. Make a verbalization of the triple set into plain text. ||| {{lex.text | choice}} | Take the following graph comprising triple sets, where each element of a triple is separated by "|" and each triple set by ",": Alpena_County_Regional_Airport | location | Wilson_Township,_Alpena_County,_Michigan. Make a verbalization of the triple set into plain text. | Alpena County Regional Airport is located in the Wilson Township, Alpena County, Michigan. | ||
Airport | 1 | Id100 | {
"otriple_set": [
[
"Alpena_County_Regional_Airport | faa | \"APN\"@en"
]
]
} | {
"mtriple_set": [
[
"Alpena_County_Regional_Airport | locationIdentifier | \"APN\""
]
]
} | {
"comment": [
"good",
"good",
"good"
],
"lid": [
"Id1",
"Id2",
"Id3"
],
"text": [
"The location identifier of Alpena County Regional airport is APN.",
"The Alpena County Regional Airport's location id is \"APN\".",
"The loaction identifier of Alpena County Regional Airport... | Explicit Graph Description | Take the following graph comprising triple sets, where each element of a triple is separated by "|" and each triple set by ",": {{modified_triple_sets.mtriple_set[0] | join(", ")}}. Make a verbalization of the triple set into plain text. ||| {{lex.text | choice}} | Take the following graph comprising triple sets, where each element of a triple is separated by "|" and each triple set by ",": Alpena_County_Regional_Airport | locationIdentifier | "APN". Make a verbalization of the triple set into plain text. | The Alpena County Regional Airport's location id is "APN". |
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