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The dataset generation failed
Error code: DatasetGenerationError
Exception: CastError
Message: Couldn't cast
graph_id: string
name: string
segments: list<item: struct<name: string, customer_types: list<item: string>, channels: list<item: string>, of (... 187 chars omitted)
child 0, item: struct<name: string, customer_types: list<item: string>, channels: list<item: string>, offerings: li (... 175 chars omitted)
child 0, name: string
child 1, customer_types: list<item: string>
child 0, item: string
child 2, channels: list<item: string>
child 0, item: string
child 3, offerings: list<item: struct<name: string, revenue_models: list<item: string>, children: list<item: struct<name (... 76 chars omitted)
child 0, item: struct<name: string, revenue_models: list<item: string>, children: list<item: struct<name: string, r (... 64 chars omitted)
child 0, name: string
child 1, revenue_models: list<item: string>
child 0, item: string
child 2, children: list<item: struct<name: string, revenue_models: list<item: string>, children: list<item: null>>>
child 0, item: struct<name: string, revenue_models: list<item: string>, children: list<item: null>>
child 0, name: string
child 1, revenue_models: list<item: string>
child 0, item: string
child 2, children: list<item: null>
child 0, item: null
places: list<item: string>
child 0, item: string
partners: list<item: string>
child 0, item: string
target: string
supervision_target: null
gold_params: string
gold_rows: null
metadata: string
template_id: string
route_label: string
family: string
variant_id: string
case_id: string
gold_cypher: string
question: string
to
{'case_id': Value('string'), 'template_id': Value('string'), 'variant_id': Value('string'), 'question': Value('string'), 'target': Json(decode=True), 'supervision_target': {'route_label': Value('string'), 'plan': Json(decode=True)}, 'route_label': Value('string'), 'family': Value('string'), 'gold_cypher': Value('string'), 'gold_params': Json(decode=True), 'gold_rows': List(Json(decode=True)), 'metadata': Json(decode=True)}
because column names don't match
Traceback: Traceback (most recent call last):
File "/usr/local/lib/python3.12/site-packages/datasets/builder.py", line 1779, in _prepare_split_single
for key, table in generator:
^^^^^^^^^
File "/usr/local/lib/python3.12/site-packages/datasets/packaged_modules/json/json.py", line 295, in _generate_tables
self._cast_table(pa_table, json_field_paths=json_field_paths),
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "/usr/local/lib/python3.12/site-packages/datasets/packaged_modules/json/json.py", line 128, in _cast_table
pa_table = table_cast(pa_table, self.info.features.arrow_schema)
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "/usr/local/lib/python3.12/site-packages/datasets/table.py", line 2321, in table_cast
return cast_table_to_schema(table, schema)
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "/usr/local/lib/python3.12/site-packages/datasets/table.py", line 2249, in cast_table_to_schema
raise CastError(
datasets.table.CastError: Couldn't cast
graph_id: string
name: string
segments: list<item: struct<name: string, customer_types: list<item: string>, channels: list<item: string>, of (... 187 chars omitted)
child 0, item: struct<name: string, customer_types: list<item: string>, channels: list<item: string>, offerings: li (... 175 chars omitted)
child 0, name: string
child 1, customer_types: list<item: string>
child 0, item: string
child 2, channels: list<item: string>
child 0, item: string
child 3, offerings: list<item: struct<name: string, revenue_models: list<item: string>, children: list<item: struct<name (... 76 chars omitted)
child 0, item: struct<name: string, revenue_models: list<item: string>, children: list<item: struct<name: string, r (... 64 chars omitted)
child 0, name: string
child 1, revenue_models: list<item: string>
child 0, item: string
child 2, children: list<item: struct<name: string, revenue_models: list<item: string>, children: list<item: null>>>
child 0, item: struct<name: string, revenue_models: list<item: string>, children: list<item: null>>
child 0, name: string
child 1, revenue_models: list<item: string>
child 0, item: string
child 2, children: list<item: null>
child 0, item: null
places: list<item: string>
child 0, item: string
partners: list<item: string>
child 0, item: string
target: string
supervision_target: null
gold_params: string
gold_rows: null
metadata: string
template_id: string
route_label: string
family: string
variant_id: string
case_id: string
gold_cypher: string
question: string
to
{'case_id': Value('string'), 'template_id': Value('string'), 'variant_id': Value('string'), 'question': Value('string'), 'target': Json(decode=True), 'supervision_target': {'route_label': Value('string'), 'plan': Json(decode=True)}, 'route_label': Value('string'), 'family': Value('string'), 'gold_cypher': Value('string'), 'gold_params': Json(decode=True), 'gold_rows': List(Json(decode=True)), 'metadata': Json(decode=True)}
because column names don't match
The above exception was the direct cause of the following exception:
Traceback (most recent call last):
File "/src/services/worker/src/worker/job_runners/config/parquet_and_info.py", line 1347, in compute_config_parquet_and_info_response
parquet_operations = convert_to_parquet(builder)
^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "/src/services/worker/src/worker/job_runners/config/parquet_and_info.py", line 980, in convert_to_parquet
builder.download_and_prepare(
File "/usr/local/lib/python3.12/site-packages/datasets/builder.py", line 882, in download_and_prepare
self._download_and_prepare(
File "/usr/local/lib/python3.12/site-packages/datasets/builder.py", line 943, in _download_and_prepare
self._prepare_split(split_generator, **prepare_split_kwargs)
File "/usr/local/lib/python3.12/site-packages/datasets/builder.py", line 1646, in _prepare_split
for job_id, done, content in self._prepare_split_single(
^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "/usr/local/lib/python3.12/site-packages/datasets/builder.py", line 1832, in _prepare_split_single
raise DatasetGenerationError("An error occurred while generating the dataset") from e
datasets.exceptions.DatasetGenerationError: An error occurred while generating the datasetNeed help to make the dataset viewer work? Make sure to review how to configure the dataset viewer, and open a discussion for direct support.
case_id string | template_id string | variant_id string | question string | target unknown | supervision_target dict | route_label string | family string | gold_cypher string | gold_params unknown | gold_rows list | metadata unknown |
|---|---|---|---|---|---|---|---|---|---|---|---|
case-005df009e390 | companies_by_partner-s0-t01 | based | Based on this graph, which of Aurora Systems and Redwood Retail partner with Fujitsu Limited? | {
"answerable": true,
"family": "companies_by_partner",
"payload": {
"companies": [
"Aurora Systems",
"Redwood Retail"
],
"segments": [],
"offerings": [],
"customer_types": [],
"channels": [],
"revenue_models": [],
"places": [],
"partners": [
"Fujitsu Limited"... | {
"route_label": "local_safe",
"plan": {
"answerable": true,
"family": "companies_by_partner",
"payload": {
"companies": [
"Aurora Systems",
"Redwood Retail"
],
"segments": [],
"offerings": [],
"customer_types": [],
"channels": [],
"revenue_model... | local_safe | companies_by_partner | MATCH (company:Company)-[:PARTNERS_WITH]->(partner:Company)
WHERE partner.name IN $partners AND company.name IN $companies
RETURN DISTINCT company.name AS company ORDER BY company | {
"partners": [
"Fujitsu Limited"
],
"companies": [
"Aurora Systems",
"Redwood Retail"
]
} | [
{
"company": "Aurora Systems"
},
{
"company": "Redwood Retail"
}
] | {
"route_label": "local_safe",
"family": "companies_by_partner",
"bucket": "partner",
"filter_count": 3,
"boolean_depth": 0,
"has_geography": false,
"has_descendant_offering": false,
"has_aggregation": false,
"source_graph_id": "aurora+redwood",
"source_graph_ids": [
"aurora",
"redwood"
]
... |
case-005df009e390 | companies_by_partner-s0-t01 | direct | Which of Aurora Systems and Redwood Retail partner with Fujitsu Limited? | {
"answerable": true,
"family": "companies_by_partner",
"payload": {
"companies": [
"Aurora Systems",
"Redwood Retail"
],
"segments": [],
"offerings": [],
"customer_types": [],
"channels": [],
"revenue_models": [],
"places": [],
"partners": [
"Fujitsu Limited"... | {
"route_label": "local_safe",
"plan": {
"answerable": true,
"family": "companies_by_partner",
"payload": {
"companies": [
"Aurora Systems",
"Redwood Retail"
],
"segments": [],
"offerings": [],
"customer_types": [],
"channels": [],
"revenue_model... | local_safe | companies_by_partner | MATCH (company:Company)-[:PARTNERS_WITH]->(partner:Company)
WHERE partner.name IN $partners AND company.name IN $companies
RETURN DISTINCT company.name AS company ORDER BY company | {
"partners": [
"Fujitsu Limited"
],
"companies": [
"Aurora Systems",
"Redwood Retail"
]
} | [
{
"company": "Aurora Systems"
},
{
"company": "Redwood Retail"
}
] | {
"route_label": "local_safe",
"family": "companies_by_partner",
"bucket": "partner",
"filter_count": 3,
"boolean_depth": 0,
"has_geography": false,
"has_descendant_offering": false,
"has_aggregation": false,
"source_graph_id": "aurora+redwood",
"source_graph_ids": [
"aurora",
"redwood"
]
... |
case-005df009e390 | companies_by_partner-s0-t02 | direct | List the companies among Aurora Systems and Redwood Retail that have named partnerships with Fujitsu Limited. | {
"answerable": true,
"family": "companies_by_partner",
"payload": {
"companies": [
"Aurora Systems",
"Redwood Retail"
],
"segments": [],
"offerings": [],
"customer_types": [],
"channels": [],
"revenue_models": [],
"places": [],
"partners": [
"Fujitsu Limited"... | {
"route_label": "local_safe",
"plan": {
"answerable": true,
"family": "companies_by_partner",
"payload": {
"companies": [
"Aurora Systems",
"Redwood Retail"
],
"segments": [],
"offerings": [],
"customer_types": [],
"channels": [],
"revenue_model... | local_safe | companies_by_partner | MATCH (company:Company)-[:PARTNERS_WITH]->(partner:Company)
WHERE partner.name IN $partners AND company.name IN $companies
RETURN DISTINCT company.name AS company ORDER BY company | {
"partners": [
"Fujitsu Limited"
],
"companies": [
"Aurora Systems",
"Redwood Retail"
]
} | [
{
"company": "Aurora Systems"
},
{
"company": "Redwood Retail"
}
] | {
"route_label": "local_safe",
"family": "companies_by_partner",
"bucket": "partner",
"filter_count": 3,
"boolean_depth": 0,
"has_geography": false,
"has_descendant_offering": false,
"has_aggregation": false,
"source_graph_id": "aurora+redwood",
"source_graph_ids": [
"aurora",
"redwood"
]
... |
case-005df009e390 | companies_by_partner-s0-t02 | graph | In this graph, list the companies among Aurora Systems and Redwood Retail that have named partnerships with Fujitsu Limited. | {
"answerable": true,
"family": "companies_by_partner",
"payload": {
"companies": [
"Aurora Systems",
"Redwood Retail"
],
"segments": [],
"offerings": [],
"customer_types": [],
"channels": [],
"revenue_models": [],
"places": [],
"partners": [
"Fujitsu Limited"... | {
"route_label": "local_safe",
"plan": {
"answerable": true,
"family": "companies_by_partner",
"payload": {
"companies": [
"Aurora Systems",
"Redwood Retail"
],
"segments": [],
"offerings": [],
"customer_types": [],
"channels": [],
"revenue_model... | local_safe | companies_by_partner | MATCH (company:Company)-[:PARTNERS_WITH]->(partner:Company)
WHERE partner.name IN $partners AND company.name IN $companies
RETURN DISTINCT company.name AS company ORDER BY company | {
"partners": [
"Fujitsu Limited"
],
"companies": [
"Aurora Systems",
"Redwood Retail"
]
} | [
{
"company": "Aurora Systems"
},
{
"company": "Redwood Retail"
}
] | {
"route_label": "local_safe",
"family": "companies_by_partner",
"bucket": "partner",
"filter_count": 3,
"boolean_depth": 0,
"has_geography": false,
"has_descendant_offering": false,
"has_aggregation": false,
"source_graph_id": "aurora+redwood",
"source_graph_ids": [
"aurora",
"redwood"
]
... |
case-005df009e390 | companies_by_partner-s0-t03 | based | Based on this graph, what companies in Aurora Systems and Redwood Retail are partnered with Fujitsu Limited? | {
"answerable": true,
"family": "companies_by_partner",
"payload": {
"companies": [
"Aurora Systems",
"Redwood Retail"
],
"segments": [],
"offerings": [],
"customer_types": [],
"channels": [],
"revenue_models": [],
"places": [],
"partners": [
"Fujitsu Limited"... | {
"route_label": "local_safe",
"plan": {
"answerable": true,
"family": "companies_by_partner",
"payload": {
"companies": [
"Aurora Systems",
"Redwood Retail"
],
"segments": [],
"offerings": [],
"customer_types": [],
"channels": [],
"revenue_model... | local_safe | companies_by_partner | MATCH (company:Company)-[:PARTNERS_WITH]->(partner:Company)
WHERE partner.name IN $partners AND company.name IN $companies
RETURN DISTINCT company.name AS company ORDER BY company | {
"partners": [
"Fujitsu Limited"
],
"companies": [
"Aurora Systems",
"Redwood Retail"
]
} | [
{
"company": "Aurora Systems"
},
{
"company": "Redwood Retail"
}
] | {
"route_label": "local_safe",
"family": "companies_by_partner",
"bucket": "partner",
"filter_count": 3,
"boolean_depth": 0,
"has_geography": false,
"has_descendant_offering": false,
"has_aggregation": false,
"source_graph_id": "aurora+redwood",
"source_graph_ids": [
"aurora",
"redwood"
]
... |
case-005df009e390 | companies_by_partner-s0-t03 | graph | In this graph, what companies in Aurora Systems and Redwood Retail are partnered with Fujitsu Limited? | {
"answerable": true,
"family": "companies_by_partner",
"payload": {
"companies": [
"Aurora Systems",
"Redwood Retail"
],
"segments": [],
"offerings": [],
"customer_types": [],
"channels": [],
"revenue_models": [],
"places": [],
"partners": [
"Fujitsu Limited"... | {
"route_label": "local_safe",
"plan": {
"answerable": true,
"family": "companies_by_partner",
"payload": {
"companies": [
"Aurora Systems",
"Redwood Retail"
],
"segments": [],
"offerings": [],
"customer_types": [],
"channels": [],
"revenue_model... | local_safe | companies_by_partner | MATCH (company:Company)-[:PARTNERS_WITH]->(partner:Company)
WHERE partner.name IN $partners AND company.name IN $companies
RETURN DISTINCT company.name AS company ORDER BY company | {
"partners": [
"Fujitsu Limited"
],
"companies": [
"Aurora Systems",
"Redwood Retail"
]
} | [
{
"company": "Aurora Systems"
},
{
"company": "Redwood Retail"
}
] | {
"route_label": "local_safe",
"family": "companies_by_partner",
"bucket": "partner",
"filter_count": 3,
"boolean_depth": 0,
"has_geography": false,
"has_descendant_offering": false,
"has_aggregation": false,
"source_graph_id": "aurora+redwood",
"source_graph_ids": [
"aurora",
"redwood"
]
... |
case-005df009e390 | companies_by_partner-s0-t03 | here | From what we have here, what companies in Aurora Systems and Redwood Retail are partnered with Fujitsu Limited? | {
"answerable": true,
"family": "companies_by_partner",
"payload": {
"companies": [
"Aurora Systems",
"Redwood Retail"
],
"segments": [],
"offerings": [],
"customer_types": [],
"channels": [],
"revenue_models": [],
"places": [],
"partners": [
"Fujitsu Limited"... | {
"route_label": "local_safe",
"plan": {
"answerable": true,
"family": "companies_by_partner",
"payload": {
"companies": [
"Aurora Systems",
"Redwood Retail"
],
"segments": [],
"offerings": [],
"customer_types": [],
"channels": [],
"revenue_model... | local_safe | companies_by_partner | MATCH (company:Company)-[:PARTNERS_WITH]->(partner:Company)
WHERE partner.name IN $partners AND company.name IN $companies
RETURN DISTINCT company.name AS company ORDER BY company | {
"partners": [
"Fujitsu Limited"
],
"companies": [
"Aurora Systems",
"Redwood Retail"
]
} | [
{
"company": "Aurora Systems"
},
{
"company": "Redwood Retail"
}
] | {
"route_label": "local_safe",
"family": "companies_by_partner",
"bucket": "partner",
"filter_count": 3,
"boolean_depth": 0,
"has_geography": false,
"has_descendant_offering": false,
"has_aggregation": false,
"source_graph_id": "aurora+redwood",
"source_graph_ids": [
"aurora",
"redwood"
]
... |
case-005df009e390 | companies_by_partner-s0-t04 | based | Based on this graph, identify the companies in Aurora Systems and Redwood Retail that partner with Fujitsu Limited. | {
"answerable": true,
"family": "companies_by_partner",
"payload": {
"companies": [
"Aurora Systems",
"Redwood Retail"
],
"segments": [],
"offerings": [],
"customer_types": [],
"channels": [],
"revenue_models": [],
"places": [],
"partners": [
"Fujitsu Limited"... | {
"route_label": "local_safe",
"plan": {
"answerable": true,
"family": "companies_by_partner",
"payload": {
"companies": [
"Aurora Systems",
"Redwood Retail"
],
"segments": [],
"offerings": [],
"customer_types": [],
"channels": [],
"revenue_model... | local_safe | companies_by_partner | MATCH (company:Company)-[:PARTNERS_WITH]->(partner:Company)
WHERE partner.name IN $partners AND company.name IN $companies
RETURN DISTINCT company.name AS company ORDER BY company | {
"partners": [
"Fujitsu Limited"
],
"companies": [
"Aurora Systems",
"Redwood Retail"
]
} | [
{
"company": "Aurora Systems"
},
{
"company": "Redwood Retail"
}
] | {
"route_label": "local_safe",
"family": "companies_by_partner",
"bucket": "partner",
"filter_count": 3,
"boolean_depth": 0,
"has_geography": false,
"has_descendant_offering": false,
"has_aggregation": false,
"source_graph_id": "aurora+redwood",
"source_graph_ids": [
"aurora",
"redwood"
]
... |
case-005df009e390 | companies_by_partner-s0-t04 | graph | In this graph, identify the companies in Aurora Systems and Redwood Retail that partner with Fujitsu Limited. | {
"answerable": true,
"family": "companies_by_partner",
"payload": {
"companies": [
"Aurora Systems",
"Redwood Retail"
],
"segments": [],
"offerings": [],
"customer_types": [],
"channels": [],
"revenue_models": [],
"places": [],
"partners": [
"Fujitsu Limited"... | {
"route_label": "local_safe",
"plan": {
"answerable": true,
"family": "companies_by_partner",
"payload": {
"companies": [
"Aurora Systems",
"Redwood Retail"
],
"segments": [],
"offerings": [],
"customer_types": [],
"channels": [],
"revenue_model... | local_safe | companies_by_partner | MATCH (company:Company)-[:PARTNERS_WITH]->(partner:Company)
WHERE partner.name IN $partners AND company.name IN $companies
RETURN DISTINCT company.name AS company ORDER BY company | {
"partners": [
"Fujitsu Limited"
],
"companies": [
"Aurora Systems",
"Redwood Retail"
]
} | [
{
"company": "Aurora Systems"
},
{
"company": "Redwood Retail"
}
] | {
"route_label": "local_safe",
"family": "companies_by_partner",
"bucket": "partner",
"filter_count": 3,
"boolean_depth": 0,
"has_geography": false,
"has_descendant_offering": false,
"has_aggregation": false,
"source_graph_id": "aurora+redwood",
"source_graph_ids": [
"aurora",
"redwood"
]
... |
case-005df009e390 | companies_by_partner-s0-t04 | here | From what we have here, identify the companies in Aurora Systems and Redwood Retail that partner with Fujitsu Limited. | {
"answerable": true,
"family": "companies_by_partner",
"payload": {
"companies": [
"Aurora Systems",
"Redwood Retail"
],
"segments": [],
"offerings": [],
"customer_types": [],
"channels": [],
"revenue_models": [],
"places": [],
"partners": [
"Fujitsu Limited"... | {
"route_label": "local_safe",
"plan": {
"answerable": true,
"family": "companies_by_partner",
"payload": {
"companies": [
"Aurora Systems",
"Redwood Retail"
],
"segments": [],
"offerings": [],
"customer_types": [],
"channels": [],
"revenue_model... | local_safe | companies_by_partner | MATCH (company:Company)-[:PARTNERS_WITH]->(partner:Company)
WHERE partner.name IN $partners AND company.name IN $companies
RETURN DISTINCT company.name AS company ORDER BY company | {
"partners": [
"Fujitsu Limited"
],
"companies": [
"Aurora Systems",
"Redwood Retail"
]
} | [
{
"company": "Aurora Systems"
},
{
"company": "Redwood Retail"
}
] | {
"route_label": "local_safe",
"family": "companies_by_partner",
"bucket": "partner",
"filter_count": 3,
"boolean_depth": 0,
"has_geography": false,
"has_descendant_offering": false,
"has_aggregation": false,
"source_graph_id": "aurora+redwood",
"source_graph_ids": [
"aurora",
"redwood"
]
... |
case-005df009e390 | companies_by_partner-s0-t05 | direct | Name the companies among Aurora Systems and Redwood Retail tied to Fujitsu Limited through partnerships. | {
"answerable": true,
"family": "companies_by_partner",
"payload": {
"companies": [
"Aurora Systems",
"Redwood Retail"
],
"segments": [],
"offerings": [],
"customer_types": [],
"channels": [],
"revenue_models": [],
"places": [],
"partners": [
"Fujitsu Limited"... | {
"route_label": "local_safe",
"plan": {
"answerable": true,
"family": "companies_by_partner",
"payload": {
"companies": [
"Aurora Systems",
"Redwood Retail"
],
"segments": [],
"offerings": [],
"customer_types": [],
"channels": [],
"revenue_model... | local_safe | companies_by_partner | MATCH (company:Company)-[:PARTNERS_WITH]->(partner:Company)
WHERE partner.name IN $partners AND company.name IN $companies
RETURN DISTINCT company.name AS company ORDER BY company | {
"partners": [
"Fujitsu Limited"
],
"companies": [
"Aurora Systems",
"Redwood Retail"
]
} | [
{
"company": "Aurora Systems"
},
{
"company": "Redwood Retail"
}
] | {
"route_label": "local_safe",
"family": "companies_by_partner",
"bucket": "partner",
"filter_count": 3,
"boolean_depth": 0,
"has_geography": false,
"has_descendant_offering": false,
"has_aggregation": false,
"source_graph_id": "aurora+redwood",
"source_graph_ids": [
"aurora",
"redwood"
]
... |
case-005df009e390 | companies_by_partner-s0-t05 | graph | In this graph, name the companies among Aurora Systems and Redwood Retail tied to Fujitsu Limited through partnerships. | {
"answerable": true,
"family": "companies_by_partner",
"payload": {
"companies": [
"Aurora Systems",
"Redwood Retail"
],
"segments": [],
"offerings": [],
"customer_types": [],
"channels": [],
"revenue_models": [],
"places": [],
"partners": [
"Fujitsu Limited"... | {
"route_label": "local_safe",
"plan": {
"answerable": true,
"family": "companies_by_partner",
"payload": {
"companies": [
"Aurora Systems",
"Redwood Retail"
],
"segments": [],
"offerings": [],
"customer_types": [],
"channels": [],
"revenue_model... | local_safe | companies_by_partner | MATCH (company:Company)-[:PARTNERS_WITH]->(partner:Company)
WHERE partner.name IN $partners AND company.name IN $companies
RETURN DISTINCT company.name AS company ORDER BY company | {
"partners": [
"Fujitsu Limited"
],
"companies": [
"Aurora Systems",
"Redwood Retail"
]
} | [
{
"company": "Aurora Systems"
},
{
"company": "Redwood Retail"
}
] | {
"route_label": "local_safe",
"family": "companies_by_partner",
"bucket": "partner",
"filter_count": 3,
"boolean_depth": 0,
"has_geography": false,
"has_descendant_offering": false,
"has_aggregation": false,
"source_graph_id": "aurora+redwood",
"source_graph_ids": [
"aurora",
"redwood"
]
... |
case-005df009e390 | companies_by_partner-s0-t05 | here | From what we have here, name the companies among Aurora Systems and Redwood Retail tied to Fujitsu Limited through partnerships. | {
"answerable": true,
"family": "companies_by_partner",
"payload": {
"companies": [
"Aurora Systems",
"Redwood Retail"
],
"segments": [],
"offerings": [],
"customer_types": [],
"channels": [],
"revenue_models": [],
"places": [],
"partners": [
"Fujitsu Limited"... | {
"route_label": "local_safe",
"plan": {
"answerable": true,
"family": "companies_by_partner",
"payload": {
"companies": [
"Aurora Systems",
"Redwood Retail"
],
"segments": [],
"offerings": [],
"customer_types": [],
"channels": [],
"revenue_model... | local_safe | companies_by_partner | MATCH (company:Company)-[:PARTNERS_WITH]->(partner:Company)
WHERE partner.name IN $partners AND company.name IN $companies
RETURN DISTINCT company.name AS company ORDER BY company | {
"partners": [
"Fujitsu Limited"
],
"companies": [
"Aurora Systems",
"Redwood Retail"
]
} | [
{
"company": "Aurora Systems"
},
{
"company": "Redwood Retail"
}
] | {
"route_label": "local_safe",
"family": "companies_by_partner",
"bucket": "partner",
"filter_count": 3,
"boolean_depth": 0,
"has_geography": false,
"has_descendant_offering": false,
"has_aggregation": false,
"source_graph_id": "aurora+redwood",
"source_graph_ids": [
"aurora",
"redwood"
]
... |
case-00d14859ec69 | segments_by_place_and_segment_filters-s0-t02 | graph | In this graph, list the business segments for companies operating in the United Kingdom that serve government agencies. | {
"answerable": true,
"family": "segments_by_place_and_segment_filters",
"payload": {
"companies": [],
"segments": [],
"offerings": [],
"customer_types": [
"government agencies"
],
"channels": [],
"revenue_models": [],
"places": [
"United Kingdom"
],
"partners":... | {
"route_label": "local_safe",
"plan": {
"answerable": true,
"family": "segments_by_place_and_segment_filters",
"payload": {
"companies": [],
"segments": [],
"offerings": [],
"customer_types": [
"government agencies"
],
"channels": [],
"revenue_models": ... | local_safe | segments_by_place_and_segment_filters | MATCH (company:Company)-[:OPERATES_IN]->(place:Place)
WHERE any(requested_place IN $places WHERE requested_place = place.name OR requested_place IN coalesce(place.includes_places, []) OR requested_place IN coalesce(place.within_places, []))
WITH DISTINCT company
MATCH (company:Company)-[:HAS_SEGMENT]->(s:BusinessSegmen... | {
"places": [
"United Kingdom"
],
"customer_type": "government agencies"
} | [
{
"company": "Aurora Systems",
"segment": "Public Sector Solutions"
},
{
"company": "Lattice Finance",
"segment": "Compliance Services"
},
{
"company": "Lattice Finance",
"segment": "Enterprise Banking"
}
] | {
"route_label": "local_safe",
"family": "segments_by_place_and_segment_filters",
"bucket": "geography",
"filter_count": 2,
"boolean_depth": 0,
"has_geography": true,
"has_descendant_offering": false,
"has_aggregation": false,
"source_graph_id": "aurora+lattice",
"source_graph_ids": [
"aurora",
... |
case-00d14859ec69 | segments_by_place_and_segment_filters-s0-t02 | here | From what we have here, list the business segments for companies operating in the United Kingdom that serve government agencies. | {
"answerable": true,
"family": "segments_by_place_and_segment_filters",
"payload": {
"companies": [],
"segments": [],
"offerings": [],
"customer_types": [
"government agencies"
],
"channels": [],
"revenue_models": [],
"places": [
"United Kingdom"
],
"partners":... | {
"route_label": "local_safe",
"plan": {
"answerable": true,
"family": "segments_by_place_and_segment_filters",
"payload": {
"companies": [],
"segments": [],
"offerings": [],
"customer_types": [
"government agencies"
],
"channels": [],
"revenue_models": ... | local_safe | segments_by_place_and_segment_filters | MATCH (company:Company)-[:OPERATES_IN]->(place:Place)
WHERE any(requested_place IN $places WHERE requested_place = place.name OR requested_place IN coalesce(place.includes_places, []) OR requested_place IN coalesce(place.within_places, []))
WITH DISTINCT company
MATCH (company:Company)-[:HAS_SEGMENT]->(s:BusinessSegmen... | {
"places": [
"United Kingdom"
],
"customer_type": "government agencies"
} | [
{
"company": "Aurora Systems",
"segment": "Public Sector Solutions"
},
{
"company": "Lattice Finance",
"segment": "Compliance Services"
},
{
"company": "Lattice Finance",
"segment": "Enterprise Banking"
}
] | {
"route_label": "local_safe",
"family": "segments_by_place_and_segment_filters",
"bucket": "geography",
"filter_count": 2,
"boolean_depth": 0,
"has_geography": true,
"has_descendant_offering": false,
"has_aggregation": false,
"source_graph_id": "aurora+lattice",
"source_graph_ids": [
"aurora",
... |
case-00d14859ec69 | segments_by_place_and_segment_filters-s0-t03 | direct | Name the business segments at companies with presence in the United Kingdom that serve government agencies. | {
"answerable": true,
"family": "segments_by_place_and_segment_filters",
"payload": {
"companies": [],
"segments": [],
"offerings": [],
"customer_types": [
"government agencies"
],
"channels": [],
"revenue_models": [],
"places": [
"United Kingdom"
],
"partners":... | {
"route_label": "local_safe",
"plan": {
"answerable": true,
"family": "segments_by_place_and_segment_filters",
"payload": {
"companies": [],
"segments": [],
"offerings": [],
"customer_types": [
"government agencies"
],
"channels": [],
"revenue_models": ... | local_safe | segments_by_place_and_segment_filters | MATCH (company:Company)-[:OPERATES_IN]->(place:Place)
WHERE any(requested_place IN $places WHERE requested_place = place.name OR requested_place IN coalesce(place.includes_places, []) OR requested_place IN coalesce(place.within_places, []))
WITH DISTINCT company
MATCH (company:Company)-[:HAS_SEGMENT]->(s:BusinessSegmen... | {
"places": [
"United Kingdom"
],
"customer_type": "government agencies"
} | [
{
"company": "Aurora Systems",
"segment": "Public Sector Solutions"
},
{
"company": "Lattice Finance",
"segment": "Compliance Services"
},
{
"company": "Lattice Finance",
"segment": "Enterprise Banking"
}
] | {
"route_label": "local_safe",
"family": "segments_by_place_and_segment_filters",
"bucket": "geography",
"filter_count": 2,
"boolean_depth": 0,
"has_geography": true,
"has_descendant_offering": false,
"has_aggregation": false,
"source_graph_id": "aurora+lattice",
"source_graph_ids": [
"aurora",
... |
case-00d14859ec69 | segments_by_place_and_segment_filters-s0-t03 | graph | In this graph, name the business segments at companies with presence in the United Kingdom that serve government agencies. | {
"answerable": true,
"family": "segments_by_place_and_segment_filters",
"payload": {
"companies": [],
"segments": [],
"offerings": [],
"customer_types": [
"government agencies"
],
"channels": [],
"revenue_models": [],
"places": [
"United Kingdom"
],
"partners":... | {
"route_label": "local_safe",
"plan": {
"answerable": true,
"family": "segments_by_place_and_segment_filters",
"payload": {
"companies": [],
"segments": [],
"offerings": [],
"customer_types": [
"government agencies"
],
"channels": [],
"revenue_models": ... | local_safe | segments_by_place_and_segment_filters | MATCH (company:Company)-[:OPERATES_IN]->(place:Place)
WHERE any(requested_place IN $places WHERE requested_place = place.name OR requested_place IN coalesce(place.includes_places, []) OR requested_place IN coalesce(place.within_places, []))
WITH DISTINCT company
MATCH (company:Company)-[:HAS_SEGMENT]->(s:BusinessSegmen... | {
"places": [
"United Kingdom"
],
"customer_type": "government agencies"
} | [
{
"company": "Aurora Systems",
"segment": "Public Sector Solutions"
},
{
"company": "Lattice Finance",
"segment": "Compliance Services"
},
{
"company": "Lattice Finance",
"segment": "Enterprise Banking"
}
] | {
"route_label": "local_safe",
"family": "segments_by_place_and_segment_filters",
"bucket": "geography",
"filter_count": 2,
"boolean_depth": 0,
"has_geography": true,
"has_descendant_offering": false,
"has_aggregation": false,
"source_graph_id": "aurora+lattice",
"source_graph_ids": [
"aurora",
... |
case-00d14859ec69 | segments_by_place_and_segment_filters-s1-t01 | graph | In this graph, which business segments belong to companies operating in the UK and serve public-sector bodies? | {
"answerable": true,
"family": "segments_by_place_and_segment_filters",
"payload": {
"companies": [],
"segments": [],
"offerings": [],
"customer_types": [
"government agencies"
],
"channels": [],
"revenue_models": [],
"places": [
"United Kingdom"
],
"partners":... | {
"route_label": "local_safe",
"plan": {
"answerable": true,
"family": "segments_by_place_and_segment_filters",
"payload": {
"companies": [],
"segments": [],
"offerings": [],
"customer_types": [
"government agencies"
],
"channels": [],
"revenue_models": ... | local_safe | segments_by_place_and_segment_filters | MATCH (company:Company)-[:OPERATES_IN]->(place:Place)
WHERE any(requested_place IN $places WHERE requested_place = place.name OR requested_place IN coalesce(place.includes_places, []) OR requested_place IN coalesce(place.within_places, []))
WITH DISTINCT company
MATCH (company:Company)-[:HAS_SEGMENT]->(s:BusinessSegmen... | {
"places": [
"United Kingdom"
],
"customer_type": "government agencies"
} | [
{
"company": "Aurora Systems",
"segment": "Public Sector Solutions"
},
{
"company": "Lattice Finance",
"segment": "Compliance Services"
},
{
"company": "Lattice Finance",
"segment": "Enterprise Banking"
}
] | {
"route_label": "local_safe",
"family": "segments_by_place_and_segment_filters",
"bucket": "geography",
"filter_count": 2,
"boolean_depth": 0,
"has_geography": true,
"has_descendant_offering": false,
"has_aggregation": false,
"source_graph_id": "aurora+lattice",
"source_graph_ids": [
"aurora",
... |
case-00d14859ec69 | segments_by_place_and_segment_filters-s1-t02 | here | From what we have here, list the business segments for companies operating in the UK that serve public-sector bodies. | {
"answerable": true,
"family": "segments_by_place_and_segment_filters",
"payload": {
"companies": [],
"segments": [],
"offerings": [],
"customer_types": [
"government agencies"
],
"channels": [],
"revenue_models": [],
"places": [
"United Kingdom"
],
"partners":... | {
"route_label": "local_safe",
"plan": {
"answerable": true,
"family": "segments_by_place_and_segment_filters",
"payload": {
"companies": [],
"segments": [],
"offerings": [],
"customer_types": [
"government agencies"
],
"channels": [],
"revenue_models": ... | local_safe | segments_by_place_and_segment_filters | MATCH (company:Company)-[:OPERATES_IN]->(place:Place)
WHERE any(requested_place IN $places WHERE requested_place = place.name OR requested_place IN coalesce(place.includes_places, []) OR requested_place IN coalesce(place.within_places, []))
WITH DISTINCT company
MATCH (company:Company)-[:HAS_SEGMENT]->(s:BusinessSegmen... | {
"places": [
"United Kingdom"
],
"customer_type": "government agencies"
} | [
{
"company": "Aurora Systems",
"segment": "Public Sector Solutions"
},
{
"company": "Lattice Finance",
"segment": "Compliance Services"
},
{
"company": "Lattice Finance",
"segment": "Enterprise Banking"
}
] | {
"route_label": "local_safe",
"family": "segments_by_place_and_segment_filters",
"bucket": "geography",
"filter_count": 2,
"boolean_depth": 0,
"has_geography": true,
"has_descendant_offering": false,
"has_aggregation": false,
"source_graph_id": "aurora+lattice",
"source_graph_ids": [
"aurora",
... |
case-00d14859ec69 | segments_by_place_and_segment_filters-s1-t03 | based | Based on this graph, name the business segments at companies with presence in the UK that serve public-sector bodies. | {
"answerable": true,
"family": "segments_by_place_and_segment_filters",
"payload": {
"companies": [],
"segments": [],
"offerings": [],
"customer_types": [
"government agencies"
],
"channels": [],
"revenue_models": [],
"places": [
"United Kingdom"
],
"partners":... | {
"route_label": "local_safe",
"plan": {
"answerable": true,
"family": "segments_by_place_and_segment_filters",
"payload": {
"companies": [],
"segments": [],
"offerings": [],
"customer_types": [
"government agencies"
],
"channels": [],
"revenue_models": ... | local_safe | segments_by_place_and_segment_filters | MATCH (company:Company)-[:OPERATES_IN]->(place:Place)
WHERE any(requested_place IN $places WHERE requested_place = place.name OR requested_place IN coalesce(place.includes_places, []) OR requested_place IN coalesce(place.within_places, []))
WITH DISTINCT company
MATCH (company:Company)-[:HAS_SEGMENT]->(s:BusinessSegmen... | {
"places": [
"United Kingdom"
],
"customer_type": "government agencies"
} | [
{
"company": "Aurora Systems",
"segment": "Public Sector Solutions"
},
{
"company": "Lattice Finance",
"segment": "Compliance Services"
},
{
"company": "Lattice Finance",
"segment": "Enterprise Banking"
}
] | {
"route_label": "local_safe",
"family": "segments_by_place_and_segment_filters",
"bucket": "geography",
"filter_count": 2,
"boolean_depth": 0,
"has_geography": true,
"has_descendant_offering": false,
"has_aggregation": false,
"source_graph_id": "aurora+lattice",
"source_graph_ids": [
"aurora",
... |
case-00d14859ec69 | segments_by_place_and_segment_filters-s1-t05 | based | Based on this graph, what business segments sit at companies operating in the UK and serve public-sector bodies? | {
"answerable": true,
"family": "segments_by_place_and_segment_filters",
"payload": {
"companies": [],
"segments": [],
"offerings": [],
"customer_types": [
"government agencies"
],
"channels": [],
"revenue_models": [],
"places": [
"United Kingdom"
],
"partners":... | {
"route_label": "local_safe",
"plan": {
"answerable": true,
"family": "segments_by_place_and_segment_filters",
"payload": {
"companies": [],
"segments": [],
"offerings": [],
"customer_types": [
"government agencies"
],
"channels": [],
"revenue_models": ... | local_safe | segments_by_place_and_segment_filters | MATCH (company:Company)-[:OPERATES_IN]->(place:Place)
WHERE any(requested_place IN $places WHERE requested_place = place.name OR requested_place IN coalesce(place.includes_places, []) OR requested_place IN coalesce(place.within_places, []))
WITH DISTINCT company
MATCH (company:Company)-[:HAS_SEGMENT]->(s:BusinessSegmen... | {
"places": [
"United Kingdom"
],
"customer_type": "government agencies"
} | [
{
"company": "Aurora Systems",
"segment": "Public Sector Solutions"
},
{
"company": "Lattice Finance",
"segment": "Compliance Services"
},
{
"company": "Lattice Finance",
"segment": "Enterprise Banking"
}
] | {
"route_label": "local_safe",
"family": "segments_by_place_and_segment_filters",
"bucket": "geography",
"filter_count": 2,
"boolean_depth": 0,
"has_geography": true,
"has_descendant_offering": false,
"has_aggregation": false,
"source_graph_id": "aurora+lattice",
"source_graph_ids": [
"aurora",
... |
case-00ddc414c917 | boolean-companies_by_segment_filters-s0-t03 | direct | Could Lattice Finance qualify through a business segment that sells through OEMs? | {
"answerable": true,
"family": "boolean_exists",
"payload": {
"companies": [
"Lattice Finance"
],
"segments": [],
"offerings": [],
"customer_types": [],
"channels": [
"OEMs"
],
"revenue_models": [],
"places": [],
"partners": [],
"base_family": "companies_by... | {
"route_label": "local_safe",
"plan": {
"answerable": true,
"family": "boolean_exists",
"payload": {
"companies": [
"Lattice Finance"
],
"segments": [],
"offerings": [],
"customer_types": [],
"channels": [
"OEMs"
],
"revenue_models": [],
... | local_safe | boolean_exists | MATCH (c:Company)-[:HAS_SEGMENT]->(s:BusinessSegment)
WHERE s.company_name = c.name AND c.name IN $companies
MATCH (s)-[:SELLS_THROUGH]->(:Channel {name: $channel})
RETURN COUNT(DISTINCT c.name) > 0 AS is_match | {
"companies": [
"Lattice Finance"
],
"channel": "OEMs"
} | [
{
"is_match": false
}
] | {
"route_label": "local_safe",
"family": "boolean_exists",
"bucket": "boolean",
"filter_count": 2,
"boolean_depth": 0,
"has_geography": false,
"has_descendant_offering": false,
"has_aggregation": false,
"source_graph_id": "lattice",
"source_graph_ids": [
"lattice"
],
"boolean_answer": false
... |
case-00ddc414c917 | boolean-companies_by_segment_filters-s0-t04 | graph | In this graph, would Lattice Finance count as having a business segment that sells through OEMs? | {
"answerable": true,
"family": "boolean_exists",
"payload": {
"companies": [
"Lattice Finance"
],
"segments": [],
"offerings": [],
"customer_types": [],
"channels": [
"OEMs"
],
"revenue_models": [],
"places": [],
"partners": [],
"base_family": "companies_by... | {
"route_label": "local_safe",
"plan": {
"answerable": true,
"family": "boolean_exists",
"payload": {
"companies": [
"Lattice Finance"
],
"segments": [],
"offerings": [],
"customer_types": [],
"channels": [
"OEMs"
],
"revenue_models": [],
... | local_safe | boolean_exists | MATCH (c:Company)-[:HAS_SEGMENT]->(s:BusinessSegment)
WHERE s.company_name = c.name AND c.name IN $companies
MATCH (s)-[:SELLS_THROUGH]->(:Channel {name: $channel})
RETURN COUNT(DISTINCT c.name) > 0 AS is_match | {
"companies": [
"Lattice Finance"
],
"channel": "OEMs"
} | [
{
"is_match": false
}
] | {
"route_label": "local_safe",
"family": "boolean_exists",
"bucket": "boolean",
"filter_count": 2,
"boolean_depth": 0,
"has_geography": false,
"has_descendant_offering": false,
"has_aggregation": false,
"source_graph_id": "lattice",
"source_graph_ids": [
"lattice"
],
"boolean_answer": false
... |
case-00ddc414c917 | boolean-companies_by_segment_filters-s1-t02 | here | From what we have here, is there a business segment at Lattice Finance that sells through device makers? | {
"answerable": true,
"family": "boolean_exists",
"payload": {
"companies": [
"Lattice Finance"
],
"segments": [],
"offerings": [],
"customer_types": [],
"channels": [
"OEMs"
],
"revenue_models": [],
"places": [],
"partners": [],
"base_family": "companies_by... | {
"route_label": "local_safe",
"plan": {
"answerable": true,
"family": "boolean_exists",
"payload": {
"companies": [
"Lattice Finance"
],
"segments": [],
"offerings": [],
"customer_types": [],
"channels": [
"OEMs"
],
"revenue_models": [],
... | local_safe | boolean_exists | MATCH (c:Company)-[:HAS_SEGMENT]->(s:BusinessSegment)
WHERE s.company_name = c.name AND c.name IN $companies
MATCH (s)-[:SELLS_THROUGH]->(:Channel {name: $channel})
RETURN COUNT(DISTINCT c.name) > 0 AS is_match | {
"companies": [
"Lattice Finance"
],
"channel": "OEMs"
} | [
{
"is_match": false
}
] | {
"route_label": "local_safe",
"family": "boolean_exists",
"bucket": "boolean",
"filter_count": 2,
"boolean_depth": 0,
"has_geography": false,
"has_descendant_offering": false,
"has_aggregation": false,
"source_graph_id": "lattice",
"source_graph_ids": [
"lattice"
],
"boolean_answer": false
... |
case-0100da4a0ef9 | segments_by_place_and_segment_filters-s0-t04 | based | Based on this graph, identify business segments whose company operates in Germany and that serve retailers. | {
"answerable": true,
"family": "segments_by_place_and_segment_filters",
"payload": {
"companies": [],
"segments": [],
"offerings": [],
"customer_types": [
"retailers"
],
"channels": [],
"revenue_models": [],
"places": [
"Germany"
],
"partners": [],
"binding... | {
"route_label": "local_safe",
"plan": {
"answerable": true,
"family": "segments_by_place_and_segment_filters",
"payload": {
"companies": [],
"segments": [],
"offerings": [],
"customer_types": [
"retailers"
],
"channels": [],
"revenue_models": [],
... | local_safe | segments_by_place_and_segment_filters | MATCH (company:Company)-[:OPERATES_IN]->(place:Place)
WHERE any(requested_place IN $places WHERE requested_place = place.name OR requested_place IN coalesce(place.includes_places, []) OR requested_place IN coalesce(place.within_places, []))
WITH DISTINCT company
MATCH (company:Company)-[:HAS_SEGMENT]->(s:BusinessSegmen... | {
"places": [
"Germany"
],
"customer_type": "retailers"
} | [
{
"company": "Aurora Systems",
"segment": "Commerce Cloud"
},
{
"company": "Lattice Finance",
"segment": "Payments Network"
}
] | {
"route_label": "local_safe",
"family": "segments_by_place_and_segment_filters",
"bucket": "geography",
"filter_count": 2,
"boolean_depth": 0,
"has_geography": true,
"has_descendant_offering": false,
"has_aggregation": false,
"source_graph_id": "aurora+lattice",
"source_graph_ids": [
"aurora",
... |
case-0100da4a0ef9 | segments_by_place_and_segment_filters-s1-t02 | based | Based on this graph, list the business segments for companies operating in the German market that serve merchant businesses. | {
"answerable": true,
"family": "segments_by_place_and_segment_filters",
"payload": {
"companies": [],
"segments": [],
"offerings": [],
"customer_types": [
"retailers"
],
"channels": [],
"revenue_models": [],
"places": [
"Germany"
],
"partners": [],
"binding... | {
"route_label": "local_safe",
"plan": {
"answerable": true,
"family": "segments_by_place_and_segment_filters",
"payload": {
"companies": [],
"segments": [],
"offerings": [],
"customer_types": [
"retailers"
],
"channels": [],
"revenue_models": [],
... | local_safe | segments_by_place_and_segment_filters | MATCH (company:Company)-[:OPERATES_IN]->(place:Place)
WHERE any(requested_place IN $places WHERE requested_place = place.name OR requested_place IN coalesce(place.includes_places, []) OR requested_place IN coalesce(place.within_places, []))
WITH DISTINCT company
MATCH (company:Company)-[:HAS_SEGMENT]->(s:BusinessSegmen... | {
"places": [
"Germany"
],
"customer_type": "retailers"
} | [
{
"company": "Aurora Systems",
"segment": "Commerce Cloud"
},
{
"company": "Lattice Finance",
"segment": "Payments Network"
}
] | {
"route_label": "local_safe",
"family": "segments_by_place_and_segment_filters",
"bucket": "geography",
"filter_count": 2,
"boolean_depth": 0,
"has_geography": true,
"has_descendant_offering": false,
"has_aggregation": false,
"source_graph_id": "aurora+lattice",
"source_graph_ids": [
"aurora",
... |
case-015c66ab5952 | boolean-segments_by_segment_filters-s0-t01 | based | Based on this graph, does Lattice Finance have a segment that sells through direct sales? | {
"answerable": true,
"family": "boolean_exists",
"payload": {
"companies": [
"Lattice Finance"
],
"segments": [],
"offerings": [],
"customer_types": [],
"channels": [
"direct sales"
],
"revenue_models": [],
"places": [],
"partners": [],
"base_family": "segm... | {
"route_label": "local_safe",
"plan": {
"answerable": true,
"family": "boolean_exists",
"payload": {
"companies": [
"Lattice Finance"
],
"segments": [],
"offerings": [],
"customer_types": [],
"channels": [
"direct sales"
],
"revenue_models... | local_safe | boolean_exists | MATCH (c:Company)-[:HAS_SEGMENT]->(s:BusinessSegment)
WHERE s.company_name = c.name AND c.name IN $companies
MATCH (s)-[:SELLS_THROUGH]->(:Channel {name: $channel})
RETURN COUNT(DISTINCT s.name) > 0 AS is_match | {
"companies": [
"Lattice Finance"
],
"channel": "direct sales"
} | [
{
"is_match": true
}
] | {
"route_label": "local_safe",
"family": "boolean_exists",
"bucket": "boolean",
"filter_count": 2,
"boolean_depth": 0,
"has_geography": false,
"has_descendant_offering": false,
"has_aggregation": false,
"source_graph_id": "lattice",
"source_graph_ids": [
"lattice"
],
"boolean_answer": true
} |
case-015c66ab5952 | boolean-segments_by_segment_filters-s0-t02 | here | From what we have here, is there a segment at Lattice Finance that sells through direct sales? | {
"answerable": true,
"family": "boolean_exists",
"payload": {
"companies": [
"Lattice Finance"
],
"segments": [],
"offerings": [],
"customer_types": [],
"channels": [
"direct sales"
],
"revenue_models": [],
"places": [],
"partners": [],
"base_family": "segm... | {
"route_label": "local_safe",
"plan": {
"answerable": true,
"family": "boolean_exists",
"payload": {
"companies": [
"Lattice Finance"
],
"segments": [],
"offerings": [],
"customer_types": [],
"channels": [
"direct sales"
],
"revenue_models... | local_safe | boolean_exists | MATCH (c:Company)-[:HAS_SEGMENT]->(s:BusinessSegment)
WHERE s.company_name = c.name AND c.name IN $companies
MATCH (s)-[:SELLS_THROUGH]->(:Channel {name: $channel})
RETURN COUNT(DISTINCT s.name) > 0 AS is_match | {
"companies": [
"Lattice Finance"
],
"channel": "direct sales"
} | [
{
"is_match": true
}
] | {
"route_label": "local_safe",
"family": "boolean_exists",
"bucket": "boolean",
"filter_count": 2,
"boolean_depth": 0,
"has_geography": false,
"has_descendant_offering": false,
"has_aggregation": false,
"source_graph_id": "lattice",
"source_graph_ids": [
"lattice"
],
"boolean_answer": true
} |
case-015c66ab5952 | boolean-segments_by_segment_filters-s0-t04 | based | Based on this graph, would Lattice Finance count as having a segment that sells through direct sales? | {
"answerable": true,
"family": "boolean_exists",
"payload": {
"companies": [
"Lattice Finance"
],
"segments": [],
"offerings": [],
"customer_types": [],
"channels": [
"direct sales"
],
"revenue_models": [],
"places": [],
"partners": [],
"base_family": "segm... | {
"route_label": "local_safe",
"plan": {
"answerable": true,
"family": "boolean_exists",
"payload": {
"companies": [
"Lattice Finance"
],
"segments": [],
"offerings": [],
"customer_types": [],
"channels": [
"direct sales"
],
"revenue_models... | local_safe | boolean_exists | MATCH (c:Company)-[:HAS_SEGMENT]->(s:BusinessSegment)
WHERE s.company_name = c.name AND c.name IN $companies
MATCH (s)-[:SELLS_THROUGH]->(:Channel {name: $channel})
RETURN COUNT(DISTINCT s.name) > 0 AS is_match | {
"companies": [
"Lattice Finance"
],
"channel": "direct sales"
} | [
{
"is_match": true
}
] | {
"route_label": "local_safe",
"family": "boolean_exists",
"bucket": "boolean",
"filter_count": 2,
"boolean_depth": 0,
"has_geography": false,
"has_descendant_offering": false,
"has_aggregation": false,
"source_graph_id": "lattice",
"source_graph_ids": [
"lattice"
],
"boolean_answer": true
} |
case-015c66ab5952 | boolean-segments_by_segment_filters-s0-t04 | direct | Would Lattice Finance count as having a segment that sells through direct sales? | {
"answerable": true,
"family": "boolean_exists",
"payload": {
"companies": [
"Lattice Finance"
],
"segments": [],
"offerings": [],
"customer_types": [],
"channels": [
"direct sales"
],
"revenue_models": [],
"places": [],
"partners": [],
"base_family": "segm... | {
"route_label": "local_safe",
"plan": {
"answerable": true,
"family": "boolean_exists",
"payload": {
"companies": [
"Lattice Finance"
],
"segments": [],
"offerings": [],
"customer_types": [],
"channels": [
"direct sales"
],
"revenue_models... | local_safe | boolean_exists | MATCH (c:Company)-[:HAS_SEGMENT]->(s:BusinessSegment)
WHERE s.company_name = c.name AND c.name IN $companies
MATCH (s)-[:SELLS_THROUGH]->(:Channel {name: $channel})
RETURN COUNT(DISTINCT s.name) > 0 AS is_match | {
"companies": [
"Lattice Finance"
],
"channel": "direct sales"
} | [
{
"is_match": true
}
] | {
"route_label": "local_safe",
"family": "boolean_exists",
"bucket": "boolean",
"filter_count": 2,
"boolean_depth": 0,
"has_geography": false,
"has_descendant_offering": false,
"has_aggregation": false,
"source_graph_id": "lattice",
"source_graph_ids": [
"lattice"
],
"boolean_answer": true
} |
case-015c66ab5952 | boolean-segments_by_segment_filters-s0-t04 | graph | In this graph, would Lattice Finance count as having a segment that sells through direct sales? | {
"answerable": true,
"family": "boolean_exists",
"payload": {
"companies": [
"Lattice Finance"
],
"segments": [],
"offerings": [],
"customer_types": [],
"channels": [
"direct sales"
],
"revenue_models": [],
"places": [],
"partners": [],
"base_family": "segm... | {
"route_label": "local_safe",
"plan": {
"answerable": true,
"family": "boolean_exists",
"payload": {
"companies": [
"Lattice Finance"
],
"segments": [],
"offerings": [],
"customer_types": [],
"channels": [
"direct sales"
],
"revenue_models... | local_safe | boolean_exists | MATCH (c:Company)-[:HAS_SEGMENT]->(s:BusinessSegment)
WHERE s.company_name = c.name AND c.name IN $companies
MATCH (s)-[:SELLS_THROUGH]->(:Channel {name: $channel})
RETURN COUNT(DISTINCT s.name) > 0 AS is_match | {
"companies": [
"Lattice Finance"
],
"channel": "direct sales"
} | [
{
"is_match": true
}
] | {
"route_label": "local_safe",
"family": "boolean_exists",
"bucket": "boolean",
"filter_count": 2,
"boolean_depth": 0,
"has_geography": false,
"has_descendant_offering": false,
"has_aggregation": false,
"source_graph_id": "lattice",
"source_graph_ids": [
"lattice"
],
"boolean_answer": true
} |
case-015c66ab5952 | boolean-segments_by_segment_filters-s1-t03 | graph | In this graph, could Lattice Finance qualify through a segment that sells through direct account teams? | {
"answerable": true,
"family": "boolean_exists",
"payload": {
"companies": [
"Lattice Finance"
],
"segments": [],
"offerings": [],
"customer_types": [],
"channels": [
"direct sales"
],
"revenue_models": [],
"places": [],
"partners": [],
"base_family": "segm... | {
"route_label": "local_safe",
"plan": {
"answerable": true,
"family": "boolean_exists",
"payload": {
"companies": [
"Lattice Finance"
],
"segments": [],
"offerings": [],
"customer_types": [],
"channels": [
"direct sales"
],
"revenue_models... | local_safe | boolean_exists | MATCH (c:Company)-[:HAS_SEGMENT]->(s:BusinessSegment)
WHERE s.company_name = c.name AND c.name IN $companies
MATCH (s)-[:SELLS_THROUGH]->(:Channel {name: $channel})
RETURN COUNT(DISTINCT s.name) > 0 AS is_match | {
"companies": [
"Lattice Finance"
],
"channel": "direct sales"
} | [
{
"is_match": true
}
] | {
"route_label": "local_safe",
"family": "boolean_exists",
"bucket": "boolean",
"filter_count": 2,
"boolean_depth": 0,
"has_geography": false,
"has_descendant_offering": false,
"has_aggregation": false,
"source_graph_id": "lattice",
"source_graph_ids": [
"lattice"
],
"boolean_answer": true
} |
case-015c66ab5952 | boolean-segments_by_segment_filters-s1-t04 | here | From what we have here, would Lattice Finance count as having a segment that sells through direct account teams? | {
"answerable": true,
"family": "boolean_exists",
"payload": {
"companies": [
"Lattice Finance"
],
"segments": [],
"offerings": [],
"customer_types": [],
"channels": [
"direct sales"
],
"revenue_models": [],
"places": [],
"partners": [],
"base_family": "segm... | {
"route_label": "local_safe",
"plan": {
"answerable": true,
"family": "boolean_exists",
"payload": {
"companies": [
"Lattice Finance"
],
"segments": [],
"offerings": [],
"customer_types": [],
"channels": [
"direct sales"
],
"revenue_models... | local_safe | boolean_exists | MATCH (c:Company)-[:HAS_SEGMENT]->(s:BusinessSegment)
WHERE s.company_name = c.name AND c.name IN $companies
MATCH (s)-[:SELLS_THROUGH]->(:Channel {name: $channel})
RETURN COUNT(DISTINCT s.name) > 0 AS is_match | {
"companies": [
"Lattice Finance"
],
"channel": "direct sales"
} | [
{
"is_match": true
}
] | {
"route_label": "local_safe",
"family": "boolean_exists",
"bucket": "boolean",
"filter_count": 2,
"boolean_depth": 0,
"has_geography": false,
"has_descendant_offering": false,
"has_aggregation": false,
"source_graph_id": "lattice",
"source_graph_ids": [
"lattice"
],
"boolean_answer": true
} |
case-016877aca93c | boolean-segments_by_segment_filters-s0-t02 | direct | Is there a segment at Aurora Systems that sells through resellers? | {
"answerable": true,
"family": "boolean_exists",
"payload": {
"companies": [
"Aurora Systems"
],
"segments": [],
"offerings": [],
"customer_types": [],
"channels": [
"resellers"
],
"revenue_models": [],
"places": [],
"partners": [],
"base_family": "segments... | {
"route_label": "local_safe",
"plan": {
"answerable": true,
"family": "boolean_exists",
"payload": {
"companies": [
"Aurora Systems"
],
"segments": [],
"offerings": [],
"customer_types": [],
"channels": [
"resellers"
],
"revenue_models": [... | local_safe | boolean_exists | MATCH (c:Company)-[:HAS_SEGMENT]->(s:BusinessSegment)
WHERE s.company_name = c.name AND c.name IN $companies
MATCH (s)-[:SELLS_THROUGH]->(:Channel {name: $channel})
RETURN COUNT(DISTINCT s.name) > 0 AS is_match | {
"companies": [
"Aurora Systems"
],
"channel": "resellers"
} | [
{
"is_match": true
}
] | {
"route_label": "local_safe",
"family": "boolean_exists",
"bucket": "boolean",
"filter_count": 2,
"boolean_depth": 0,
"has_geography": false,
"has_descendant_offering": false,
"has_aggregation": false,
"source_graph_id": "aurora",
"source_graph_ids": [
"aurora"
],
"boolean_answer": true
} |
case-016877aca93c | boolean-segments_by_segment_filters-s1-t02 | here | From what we have here, is there a segment at Aurora Systems that sells through reseller partners? | {
"answerable": true,
"family": "boolean_exists",
"payload": {
"companies": [
"Aurora Systems"
],
"segments": [],
"offerings": [],
"customer_types": [],
"channels": [
"resellers"
],
"revenue_models": [],
"places": [],
"partners": [],
"base_family": "segments... | {
"route_label": "local_safe",
"plan": {
"answerable": true,
"family": "boolean_exists",
"payload": {
"companies": [
"Aurora Systems"
],
"segments": [],
"offerings": [],
"customer_types": [],
"channels": [
"resellers"
],
"revenue_models": [... | local_safe | boolean_exists | MATCH (c:Company)-[:HAS_SEGMENT]->(s:BusinessSegment)
WHERE s.company_name = c.name AND c.name IN $companies
MATCH (s)-[:SELLS_THROUGH]->(:Channel {name: $channel})
RETURN COUNT(DISTINCT s.name) > 0 AS is_match | {
"companies": [
"Aurora Systems"
],
"channel": "resellers"
} | [
{
"is_match": true
}
] | {
"route_label": "local_safe",
"family": "boolean_exists",
"bucket": "boolean",
"filter_count": 2,
"boolean_depth": 0,
"has_geography": false,
"has_descendant_offering": false,
"has_aggregation": false,
"source_graph_id": "aurora",
"source_graph_ids": [
"aurora"
],
"boolean_answer": true
} |
case-016877aca93c | boolean-segments_by_segment_filters-s1-t04 | based | Based on this graph, would Aurora Systems count as having a segment that sells through reseller partners? | {
"answerable": true,
"family": "boolean_exists",
"payload": {
"companies": [
"Aurora Systems"
],
"segments": [],
"offerings": [],
"customer_types": [],
"channels": [
"resellers"
],
"revenue_models": [],
"places": [],
"partners": [],
"base_family": "segments... | {
"route_label": "local_safe",
"plan": {
"answerable": true,
"family": "boolean_exists",
"payload": {
"companies": [
"Aurora Systems"
],
"segments": [],
"offerings": [],
"customer_types": [],
"channels": [
"resellers"
],
"revenue_models": [... | local_safe | boolean_exists | MATCH (c:Company)-[:HAS_SEGMENT]->(s:BusinessSegment)
WHERE s.company_name = c.name AND c.name IN $companies
MATCH (s)-[:SELLS_THROUGH]->(:Channel {name: $channel})
RETURN COUNT(DISTINCT s.name) > 0 AS is_match | {
"companies": [
"Aurora Systems"
],
"channel": "resellers"
} | [
{
"is_match": true
}
] | {
"route_label": "local_safe",
"family": "boolean_exists",
"bucket": "boolean",
"filter_count": 2,
"boolean_depth": 0,
"has_geography": false,
"has_descendant_offering": false,
"has_aggregation": false,
"source_graph_id": "aurora",
"source_graph_ids": [
"aurora"
],
"boolean_answer": true
} |
case-016877aca93c | boolean-segments_by_segment_filters-s1-t04 | here | From what we have here, would Aurora Systems count as having a segment that sells through reseller partners? | {
"answerable": true,
"family": "boolean_exists",
"payload": {
"companies": [
"Aurora Systems"
],
"segments": [],
"offerings": [],
"customer_types": [],
"channels": [
"resellers"
],
"revenue_models": [],
"places": [],
"partners": [],
"base_family": "segments... | {
"route_label": "local_safe",
"plan": {
"answerable": true,
"family": "boolean_exists",
"payload": {
"companies": [
"Aurora Systems"
],
"segments": [],
"offerings": [],
"customer_types": [],
"channels": [
"resellers"
],
"revenue_models": [... | local_safe | boolean_exists | MATCH (c:Company)-[:HAS_SEGMENT]->(s:BusinessSegment)
WHERE s.company_name = c.name AND c.name IN $companies
MATCH (s)-[:SELLS_THROUGH]->(:Channel {name: $channel})
RETURN COUNT(DISTINCT s.name) > 0 AS is_match | {
"companies": [
"Aurora Systems"
],
"channel": "resellers"
} | [
{
"is_match": true
}
] | {
"route_label": "local_safe",
"family": "boolean_exists",
"bucket": "boolean",
"filter_count": 2,
"boolean_depth": 0,
"has_geography": false,
"has_descendant_offering": false,
"has_aggregation": false,
"source_graph_id": "aurora",
"source_graph_ids": [
"aurora"
],
"boolean_answer": true
} |
case-01711626c40b | companies_by_cross_segment_filters-s1-t02 | here | From what we have here, list the companies that can serve industrial companies and merchant businesses across their segments. | {
"answerable": true,
"family": "companies_by_cross_segment_filters",
"payload": {
"companies": [],
"segments": [],
"offerings": [],
"customer_types": [
"manufacturers",
"retailers"
],
"channels": [],
"revenue_models": [],
"places": [],
"partners": [],
"binding_... | {
"route_label": "local_safe",
"plan": {
"answerable": true,
"family": "companies_by_cross_segment_filters",
"payload": {
"companies": [],
"segments": [],
"offerings": [],
"customer_types": [
"manufacturers",
"retailers"
],
"channels": [],
"reven... | local_safe | companies_by_cross_segment_filters | MATCH (c:Company)
MATCH (c:Company)-[:HAS_SEGMENT]->(s1:BusinessSegment)
WHERE s1.company_name = c.name
MATCH (s1)-[:SERVES]->(:CustomerType {name: $customer_type_1})
MATCH (c:Company)-[:HAS_SEGMENT]->(s2:BusinessSegment)
WHERE s2.company_name = c.name
MATCH (s2)-[:SERVES]->(:CustomerType {name: $customer_type_2})
RETU... | {
"customer_type_1": "manufacturers",
"customer_type_2": "retailers"
} | [
{
"company": "Redwood Retail"
}
] | {
"route_label": "local_safe",
"family": "companies_by_cross_segment_filters",
"bucket": "cross_segment",
"filter_count": 2,
"boolean_depth": 1,
"has_geography": false,
"has_descendant_offering": false,
"has_aggregation": false,
"source_graph_id": "redwood",
"source_graph_ids": [
"redwood"
]
} |
case-01f039bf1bc5 | companies_by_descendant_revenue-s0-t01 | graph | In this graph, within Aurora Systems and Redwood Retail, which companies use consumption-based for offerings under Cloud Platform, up to 2 results? | {
"answerable": true,
"family": "companies_by_descendant_revenue",
"payload": {
"companies": [
"Aurora Systems",
"Redwood Retail"
],
"segments": [],
"offerings": [
"Cloud Platform"
],
"customer_types": [],
"channels": [],
"revenue_models": [
"consumption-bas... | {
"route_label": "local_safe",
"plan": {
"answerable": true,
"family": "companies_by_descendant_revenue",
"payload": {
"companies": [
"Aurora Systems",
"Redwood Retail"
],
"segments": [],
"offerings": [
"Cloud Platform"
],
"customer_types": [],... | local_safe | companies_by_descendant_revenue | MATCH (company:Company)
MATCH (company)-[:HAS_SEGMENT]->(:BusinessSegment)-[:OFFERS]->(root:Offering)
MATCH (root)-[:OFFERS*0..]->(o:Offering)
WHERE root.name IN $offerings AND root.company_name = company.name AND o.company_name = company.name AND company.name IN $companies
MATCH (o)-[:MONETIZES_VIA]->(:RevenueModel {n... | {
"offerings": [
"Cloud Platform"
],
"companies": [
"Aurora Systems",
"Redwood Retail"
],
"revenue_model": "consumption-based"
} | [
{
"company": "Aurora Systems"
}
] | {
"route_label": "local_safe",
"family": "companies_by_descendant_revenue",
"bucket": "hierarchy",
"filter_count": 4,
"boolean_depth": 1,
"has_geography": false,
"has_descendant_offering": true,
"has_aggregation": false,
"source_graph_id": "aurora",
"source_graph_ids": [
"aurora"
]
} |
case-01f039bf1bc5 | companies_by_descendant_revenue-s0-t01 | here | From what we have here, within Aurora Systems and Redwood Retail, which companies use consumption-based for offerings under Cloud Platform, up to 2 results? | {
"answerable": true,
"family": "companies_by_descendant_revenue",
"payload": {
"companies": [
"Aurora Systems",
"Redwood Retail"
],
"segments": [],
"offerings": [
"Cloud Platform"
],
"customer_types": [],
"channels": [],
"revenue_models": [
"consumption-bas... | {
"route_label": "local_safe",
"plan": {
"answerable": true,
"family": "companies_by_descendant_revenue",
"payload": {
"companies": [
"Aurora Systems",
"Redwood Retail"
],
"segments": [],
"offerings": [
"Cloud Platform"
],
"customer_types": [],... | local_safe | companies_by_descendant_revenue | MATCH (company:Company)
MATCH (company)-[:HAS_SEGMENT]->(:BusinessSegment)-[:OFFERS]->(root:Offering)
MATCH (root)-[:OFFERS*0..]->(o:Offering)
WHERE root.name IN $offerings AND root.company_name = company.name AND o.company_name = company.name AND company.name IN $companies
MATCH (o)-[:MONETIZES_VIA]->(:RevenueModel {n... | {
"offerings": [
"Cloud Platform"
],
"companies": [
"Aurora Systems",
"Redwood Retail"
],
"revenue_model": "consumption-based"
} | [
{
"company": "Aurora Systems"
}
] | {
"route_label": "local_safe",
"family": "companies_by_descendant_revenue",
"bucket": "hierarchy",
"filter_count": 4,
"boolean_depth": 1,
"has_geography": false,
"has_descendant_offering": true,
"has_aggregation": false,
"source_graph_id": "aurora",
"source_graph_ids": [
"aurora"
]
} |
case-01f039bf1bc5 | companies_by_descendant_revenue-s0-t02 | based | Based on this graph, within Aurora Systems and Redwood Retail, list up to 2 companies whose offerings under Cloud Platform use consumption-based. | {
"answerable": true,
"family": "companies_by_descendant_revenue",
"payload": {
"companies": [
"Aurora Systems",
"Redwood Retail"
],
"segments": [],
"offerings": [
"Cloud Platform"
],
"customer_types": [],
"channels": [],
"revenue_models": [
"consumption-bas... | {
"route_label": "local_safe",
"plan": {
"answerable": true,
"family": "companies_by_descendant_revenue",
"payload": {
"companies": [
"Aurora Systems",
"Redwood Retail"
],
"segments": [],
"offerings": [
"Cloud Platform"
],
"customer_types": [],... | local_safe | companies_by_descendant_revenue | MATCH (company:Company)
MATCH (company)-[:HAS_SEGMENT]->(:BusinessSegment)-[:OFFERS]->(root:Offering)
MATCH (root)-[:OFFERS*0..]->(o:Offering)
WHERE root.name IN $offerings AND root.company_name = company.name AND o.company_name = company.name AND company.name IN $companies
MATCH (o)-[:MONETIZES_VIA]->(:RevenueModel {n... | {
"offerings": [
"Cloud Platform"
],
"companies": [
"Aurora Systems",
"Redwood Retail"
],
"revenue_model": "consumption-based"
} | [
{
"company": "Aurora Systems"
}
] | {
"route_label": "local_safe",
"family": "companies_by_descendant_revenue",
"bucket": "hierarchy",
"filter_count": 4,
"boolean_depth": 1,
"has_geography": false,
"has_descendant_offering": true,
"has_aggregation": false,
"source_graph_id": "aurora",
"source_graph_ids": [
"aurora"
]
} |
case-01f039bf1bc5 | companies_by_descendant_revenue-s0-t02 | direct | Within Aurora Systems and Redwood Retail, list up to 2 companies whose offerings under Cloud Platform use consumption-based. | {
"answerable": true,
"family": "companies_by_descendant_revenue",
"payload": {
"companies": [
"Aurora Systems",
"Redwood Retail"
],
"segments": [],
"offerings": [
"Cloud Platform"
],
"customer_types": [],
"channels": [],
"revenue_models": [
"consumption-bas... | {
"route_label": "local_safe",
"plan": {
"answerable": true,
"family": "companies_by_descendant_revenue",
"payload": {
"companies": [
"Aurora Systems",
"Redwood Retail"
],
"segments": [],
"offerings": [
"Cloud Platform"
],
"customer_types": [],... | local_safe | companies_by_descendant_revenue | MATCH (company:Company)
MATCH (company)-[:HAS_SEGMENT]->(:BusinessSegment)-[:OFFERS]->(root:Offering)
MATCH (root)-[:OFFERS*0..]->(o:Offering)
WHERE root.name IN $offerings AND root.company_name = company.name AND o.company_name = company.name AND company.name IN $companies
MATCH (o)-[:MONETIZES_VIA]->(:RevenueModel {n... | {
"offerings": [
"Cloud Platform"
],
"companies": [
"Aurora Systems",
"Redwood Retail"
],
"revenue_model": "consumption-based"
} | [
{
"company": "Aurora Systems"
}
] | {
"route_label": "local_safe",
"family": "companies_by_descendant_revenue",
"bucket": "hierarchy",
"filter_count": 4,
"boolean_depth": 1,
"has_geography": false,
"has_descendant_offering": true,
"has_aggregation": false,
"source_graph_id": "aurora",
"source_graph_ids": [
"aurora"
]
} |
case-01f039bf1bc5 | companies_by_descendant_revenue-s0-t02 | here | From what we have here, within Aurora Systems and Redwood Retail, list up to 2 companies whose offerings under Cloud Platform use consumption-based. | {
"answerable": true,
"family": "companies_by_descendant_revenue",
"payload": {
"companies": [
"Aurora Systems",
"Redwood Retail"
],
"segments": [],
"offerings": [
"Cloud Platform"
],
"customer_types": [],
"channels": [],
"revenue_models": [
"consumption-bas... | {
"route_label": "local_safe",
"plan": {
"answerable": true,
"family": "companies_by_descendant_revenue",
"payload": {
"companies": [
"Aurora Systems",
"Redwood Retail"
],
"segments": [],
"offerings": [
"Cloud Platform"
],
"customer_types": [],... | local_safe | companies_by_descendant_revenue | MATCH (company:Company)
MATCH (company)-[:HAS_SEGMENT]->(:BusinessSegment)-[:OFFERS]->(root:Offering)
MATCH (root)-[:OFFERS*0..]->(o:Offering)
WHERE root.name IN $offerings AND root.company_name = company.name AND o.company_name = company.name AND company.name IN $companies
MATCH (o)-[:MONETIZES_VIA]->(:RevenueModel {n... | {
"offerings": [
"Cloud Platform"
],
"companies": [
"Aurora Systems",
"Redwood Retail"
],
"revenue_model": "consumption-based"
} | [
{
"company": "Aurora Systems"
}
] | {
"route_label": "local_safe",
"family": "companies_by_descendant_revenue",
"bucket": "hierarchy",
"filter_count": 4,
"boolean_depth": 1,
"has_geography": false,
"has_descendant_offering": true,
"has_aggregation": false,
"source_graph_id": "aurora",
"source_graph_ids": [
"aurora"
]
} |
case-01f039bf1bc5 | companies_by_descendant_revenue-s0-t03 | based | Based on this graph, within Aurora Systems and Redwood Retail, what companies use consumption-based for offerings under Cloud Platform, limited to 2? | {
"answerable": true,
"family": "companies_by_descendant_revenue",
"payload": {
"companies": [
"Aurora Systems",
"Redwood Retail"
],
"segments": [],
"offerings": [
"Cloud Platform"
],
"customer_types": [],
"channels": [],
"revenue_models": [
"consumption-bas... | {
"route_label": "local_safe",
"plan": {
"answerable": true,
"family": "companies_by_descendant_revenue",
"payload": {
"companies": [
"Aurora Systems",
"Redwood Retail"
],
"segments": [],
"offerings": [
"Cloud Platform"
],
"customer_types": [],... | local_safe | companies_by_descendant_revenue | MATCH (company:Company)
MATCH (company)-[:HAS_SEGMENT]->(:BusinessSegment)-[:OFFERS]->(root:Offering)
MATCH (root)-[:OFFERS*0..]->(o:Offering)
WHERE root.name IN $offerings AND root.company_name = company.name AND o.company_name = company.name AND company.name IN $companies
MATCH (o)-[:MONETIZES_VIA]->(:RevenueModel {n... | {
"offerings": [
"Cloud Platform"
],
"companies": [
"Aurora Systems",
"Redwood Retail"
],
"revenue_model": "consumption-based"
} | [
{
"company": "Aurora Systems"
}
] | {
"route_label": "local_safe",
"family": "companies_by_descendant_revenue",
"bucket": "hierarchy",
"filter_count": 4,
"boolean_depth": 1,
"has_geography": false,
"has_descendant_offering": true,
"has_aggregation": false,
"source_graph_id": "aurora",
"source_graph_ids": [
"aurora"
]
} |
case-01f039bf1bc5 | companies_by_descendant_revenue-s0-t03 | here | From what we have here, within Aurora Systems and Redwood Retail, what companies use consumption-based for offerings under Cloud Platform, limited to 2? | {
"answerable": true,
"family": "companies_by_descendant_revenue",
"payload": {
"companies": [
"Aurora Systems",
"Redwood Retail"
],
"segments": [],
"offerings": [
"Cloud Platform"
],
"customer_types": [],
"channels": [],
"revenue_models": [
"consumption-bas... | {
"route_label": "local_safe",
"plan": {
"answerable": true,
"family": "companies_by_descendant_revenue",
"payload": {
"companies": [
"Aurora Systems",
"Redwood Retail"
],
"segments": [],
"offerings": [
"Cloud Platform"
],
"customer_types": [],... | local_safe | companies_by_descendant_revenue | MATCH (company:Company)
MATCH (company)-[:HAS_SEGMENT]->(:BusinessSegment)-[:OFFERS]->(root:Offering)
MATCH (root)-[:OFFERS*0..]->(o:Offering)
WHERE root.name IN $offerings AND root.company_name = company.name AND o.company_name = company.name AND company.name IN $companies
MATCH (o)-[:MONETIZES_VIA]->(:RevenueModel {n... | {
"offerings": [
"Cloud Platform"
],
"companies": [
"Aurora Systems",
"Redwood Retail"
],
"revenue_model": "consumption-based"
} | [
{
"company": "Aurora Systems"
}
] | {
"route_label": "local_safe",
"family": "companies_by_descendant_revenue",
"bucket": "hierarchy",
"filter_count": 4,
"boolean_depth": 1,
"has_geography": false,
"has_descendant_offering": true,
"has_aggregation": false,
"source_graph_id": "aurora",
"source_graph_ids": [
"aurora"
]
} |
case-01f039bf1bc5 | companies_by_descendant_revenue-s0-t04 | graph | In this graph, within Aurora Systems and Redwood Retail, identify up to 2 companies with offerings under Cloud Platform that use consumption-based. | {
"answerable": true,
"family": "companies_by_descendant_revenue",
"payload": {
"companies": [
"Aurora Systems",
"Redwood Retail"
],
"segments": [],
"offerings": [
"Cloud Platform"
],
"customer_types": [],
"channels": [],
"revenue_models": [
"consumption-bas... | {
"route_label": "local_safe",
"plan": {
"answerable": true,
"family": "companies_by_descendant_revenue",
"payload": {
"companies": [
"Aurora Systems",
"Redwood Retail"
],
"segments": [],
"offerings": [
"Cloud Platform"
],
"customer_types": [],... | local_safe | companies_by_descendant_revenue | MATCH (company:Company)
MATCH (company)-[:HAS_SEGMENT]->(:BusinessSegment)-[:OFFERS]->(root:Offering)
MATCH (root)-[:OFFERS*0..]->(o:Offering)
WHERE root.name IN $offerings AND root.company_name = company.name AND o.company_name = company.name AND company.name IN $companies
MATCH (o)-[:MONETIZES_VIA]->(:RevenueModel {n... | {
"offerings": [
"Cloud Platform"
],
"companies": [
"Aurora Systems",
"Redwood Retail"
],
"revenue_model": "consumption-based"
} | [
{
"company": "Aurora Systems"
}
] | {
"route_label": "local_safe",
"family": "companies_by_descendant_revenue",
"bucket": "hierarchy",
"filter_count": 4,
"boolean_depth": 1,
"has_geography": false,
"has_descendant_offering": true,
"has_aggregation": false,
"source_graph_id": "aurora",
"source_graph_ids": [
"aurora"
]
} |
case-01f039bf1bc5 | companies_by_descendant_revenue-s0-t04 | here | From what we have here, within Aurora Systems and Redwood Retail, identify up to 2 companies with offerings under Cloud Platform that use consumption-based. | {
"answerable": true,
"family": "companies_by_descendant_revenue",
"payload": {
"companies": [
"Aurora Systems",
"Redwood Retail"
],
"segments": [],
"offerings": [
"Cloud Platform"
],
"customer_types": [],
"channels": [],
"revenue_models": [
"consumption-bas... | {
"route_label": "local_safe",
"plan": {
"answerable": true,
"family": "companies_by_descendant_revenue",
"payload": {
"companies": [
"Aurora Systems",
"Redwood Retail"
],
"segments": [],
"offerings": [
"Cloud Platform"
],
"customer_types": [],... | local_safe | companies_by_descendant_revenue | MATCH (company:Company)
MATCH (company)-[:HAS_SEGMENT]->(:BusinessSegment)-[:OFFERS]->(root:Offering)
MATCH (root)-[:OFFERS*0..]->(o:Offering)
WHERE root.name IN $offerings AND root.company_name = company.name AND o.company_name = company.name AND company.name IN $companies
MATCH (o)-[:MONETIZES_VIA]->(:RevenueModel {n... | {
"offerings": [
"Cloud Platform"
],
"companies": [
"Aurora Systems",
"Redwood Retail"
],
"revenue_model": "consumption-based"
} | [
{
"company": "Aurora Systems"
}
] | {
"route_label": "local_safe",
"family": "companies_by_descendant_revenue",
"bucket": "hierarchy",
"filter_count": 4,
"boolean_depth": 1,
"has_geography": false,
"has_descendant_offering": true,
"has_aggregation": false,
"source_graph_id": "aurora",
"source_graph_ids": [
"aurora"
]
} |
case-01f039bf1bc5 | companies_by_descendant_revenue-s0-t05 | here | From what we have here, within Aurora Systems and Redwood Retail, name as many as 2 companies that use consumption-based for offerings under Cloud Platform. | {
"answerable": true,
"family": "companies_by_descendant_revenue",
"payload": {
"companies": [
"Aurora Systems",
"Redwood Retail"
],
"segments": [],
"offerings": [
"Cloud Platform"
],
"customer_types": [],
"channels": [],
"revenue_models": [
"consumption-bas... | {
"route_label": "local_safe",
"plan": {
"answerable": true,
"family": "companies_by_descendant_revenue",
"payload": {
"companies": [
"Aurora Systems",
"Redwood Retail"
],
"segments": [],
"offerings": [
"Cloud Platform"
],
"customer_types": [],... | local_safe | companies_by_descendant_revenue | MATCH (company:Company)
MATCH (company)-[:HAS_SEGMENT]->(:BusinessSegment)-[:OFFERS]->(root:Offering)
MATCH (root)-[:OFFERS*0..]->(o:Offering)
WHERE root.name IN $offerings AND root.company_name = company.name AND o.company_name = company.name AND company.name IN $companies
MATCH (o)-[:MONETIZES_VIA]->(:RevenueModel {n... | {
"offerings": [
"Cloud Platform"
],
"companies": [
"Aurora Systems",
"Redwood Retail"
],
"revenue_model": "consumption-based"
} | [
{
"company": "Aurora Systems"
}
] | {
"route_label": "local_safe",
"family": "companies_by_descendant_revenue",
"bucket": "hierarchy",
"filter_count": 4,
"boolean_depth": 1,
"has_geography": false,
"has_descendant_offering": true,
"has_aggregation": false,
"source_graph_id": "aurora",
"source_graph_ids": [
"aurora"
]
} |
case-01f039bf1bc5 | companies_by_descendant_revenue-s1-t01 | here | From what we have here, within Aurora Systems and Redwood Retail, which companies use usage-based pricing for offerings under Cloud Platform, up to 2 results? | {
"answerable": true,
"family": "companies_by_descendant_revenue",
"payload": {
"companies": [
"Aurora Systems",
"Redwood Retail"
],
"segments": [],
"offerings": [
"Cloud Platform"
],
"customer_types": [],
"channels": [],
"revenue_models": [
"consumption-bas... | {
"route_label": "local_safe",
"plan": {
"answerable": true,
"family": "companies_by_descendant_revenue",
"payload": {
"companies": [
"Aurora Systems",
"Redwood Retail"
],
"segments": [],
"offerings": [
"Cloud Platform"
],
"customer_types": [],... | local_safe | companies_by_descendant_revenue | MATCH (company:Company)
MATCH (company)-[:HAS_SEGMENT]->(:BusinessSegment)-[:OFFERS]->(root:Offering)
MATCH (root)-[:OFFERS*0..]->(o:Offering)
WHERE root.name IN $offerings AND root.company_name = company.name AND o.company_name = company.name AND company.name IN $companies
MATCH (o)-[:MONETIZES_VIA]->(:RevenueModel {n... | {
"offerings": [
"Cloud Platform"
],
"companies": [
"Aurora Systems",
"Redwood Retail"
],
"revenue_model": "consumption-based"
} | [
{
"company": "Aurora Systems"
}
] | {
"route_label": "local_safe",
"family": "companies_by_descendant_revenue",
"bucket": "hierarchy",
"filter_count": 4,
"boolean_depth": 1,
"has_geography": false,
"has_descendant_offering": true,
"has_aggregation": false,
"source_graph_id": "aurora",
"source_graph_ids": [
"aurora"
]
} |
case-01f039bf1bc5 | companies_by_descendant_revenue-s1-t02 | based | Based on this graph, within Aurora Systems and Redwood Retail, list up to 2 companies whose offerings under Cloud Platform use usage-based pricing. | {
"answerable": true,
"family": "companies_by_descendant_revenue",
"payload": {
"companies": [
"Aurora Systems",
"Redwood Retail"
],
"segments": [],
"offerings": [
"Cloud Platform"
],
"customer_types": [],
"channels": [],
"revenue_models": [
"consumption-bas... | {
"route_label": "local_safe",
"plan": {
"answerable": true,
"family": "companies_by_descendant_revenue",
"payload": {
"companies": [
"Aurora Systems",
"Redwood Retail"
],
"segments": [],
"offerings": [
"Cloud Platform"
],
"customer_types": [],... | local_safe | companies_by_descendant_revenue | MATCH (company:Company)
MATCH (company)-[:HAS_SEGMENT]->(:BusinessSegment)-[:OFFERS]->(root:Offering)
MATCH (root)-[:OFFERS*0..]->(o:Offering)
WHERE root.name IN $offerings AND root.company_name = company.name AND o.company_name = company.name AND company.name IN $companies
MATCH (o)-[:MONETIZES_VIA]->(:RevenueModel {n... | {
"offerings": [
"Cloud Platform"
],
"companies": [
"Aurora Systems",
"Redwood Retail"
],
"revenue_model": "consumption-based"
} | [
{
"company": "Aurora Systems"
}
] | {
"route_label": "local_safe",
"family": "companies_by_descendant_revenue",
"bucket": "hierarchy",
"filter_count": 4,
"boolean_depth": 1,
"has_geography": false,
"has_descendant_offering": true,
"has_aggregation": false,
"source_graph_id": "aurora",
"source_graph_ids": [
"aurora"
]
} |
case-01f039bf1bc5 | companies_by_descendant_revenue-s1-t02 | graph | In this graph, within Aurora Systems and Redwood Retail, list up to 2 companies whose offerings under Cloud Platform use usage-based pricing. | {
"answerable": true,
"family": "companies_by_descendant_revenue",
"payload": {
"companies": [
"Aurora Systems",
"Redwood Retail"
],
"segments": [],
"offerings": [
"Cloud Platform"
],
"customer_types": [],
"channels": [],
"revenue_models": [
"consumption-bas... | {
"route_label": "local_safe",
"plan": {
"answerable": true,
"family": "companies_by_descendant_revenue",
"payload": {
"companies": [
"Aurora Systems",
"Redwood Retail"
],
"segments": [],
"offerings": [
"Cloud Platform"
],
"customer_types": [],... | local_safe | companies_by_descendant_revenue | MATCH (company:Company)
MATCH (company)-[:HAS_SEGMENT]->(:BusinessSegment)-[:OFFERS]->(root:Offering)
MATCH (root)-[:OFFERS*0..]->(o:Offering)
WHERE root.name IN $offerings AND root.company_name = company.name AND o.company_name = company.name AND company.name IN $companies
MATCH (o)-[:MONETIZES_VIA]->(:RevenueModel {n... | {
"offerings": [
"Cloud Platform"
],
"companies": [
"Aurora Systems",
"Redwood Retail"
],
"revenue_model": "consumption-based"
} | [
{
"company": "Aurora Systems"
}
] | {
"route_label": "local_safe",
"family": "companies_by_descendant_revenue",
"bucket": "hierarchy",
"filter_count": 4,
"boolean_depth": 1,
"has_geography": false,
"has_descendant_offering": true,
"has_aggregation": false,
"source_graph_id": "aurora",
"source_graph_ids": [
"aurora"
]
} |
case-01f039bf1bc5 | companies_by_descendant_revenue-s1-t02 | here | From what we have here, within Aurora Systems and Redwood Retail, list up to 2 companies whose offerings under Cloud Platform use usage-based pricing. | {
"answerable": true,
"family": "companies_by_descendant_revenue",
"payload": {
"companies": [
"Aurora Systems",
"Redwood Retail"
],
"segments": [],
"offerings": [
"Cloud Platform"
],
"customer_types": [],
"channels": [],
"revenue_models": [
"consumption-bas... | {
"route_label": "local_safe",
"plan": {
"answerable": true,
"family": "companies_by_descendant_revenue",
"payload": {
"companies": [
"Aurora Systems",
"Redwood Retail"
],
"segments": [],
"offerings": [
"Cloud Platform"
],
"customer_types": [],... | local_safe | companies_by_descendant_revenue | MATCH (company:Company)
MATCH (company)-[:HAS_SEGMENT]->(:BusinessSegment)-[:OFFERS]->(root:Offering)
MATCH (root)-[:OFFERS*0..]->(o:Offering)
WHERE root.name IN $offerings AND root.company_name = company.name AND o.company_name = company.name AND company.name IN $companies
MATCH (o)-[:MONETIZES_VIA]->(:RevenueModel {n... | {
"offerings": [
"Cloud Platform"
],
"companies": [
"Aurora Systems",
"Redwood Retail"
],
"revenue_model": "consumption-based"
} | [
{
"company": "Aurora Systems"
}
] | {
"route_label": "local_safe",
"family": "companies_by_descendant_revenue",
"bucket": "hierarchy",
"filter_count": 4,
"boolean_depth": 1,
"has_geography": false,
"has_descendant_offering": true,
"has_aggregation": false,
"source_graph_id": "aurora",
"source_graph_ids": [
"aurora"
]
} |
case-01f039bf1bc5 | companies_by_descendant_revenue-s1-t03 | direct | Within Aurora Systems and Redwood Retail, what companies use usage-based pricing for offerings under Cloud Platform, limited to 2? | {
"answerable": true,
"family": "companies_by_descendant_revenue",
"payload": {
"companies": [
"Aurora Systems",
"Redwood Retail"
],
"segments": [],
"offerings": [
"Cloud Platform"
],
"customer_types": [],
"channels": [],
"revenue_models": [
"consumption-bas... | {
"route_label": "local_safe",
"plan": {
"answerable": true,
"family": "companies_by_descendant_revenue",
"payload": {
"companies": [
"Aurora Systems",
"Redwood Retail"
],
"segments": [],
"offerings": [
"Cloud Platform"
],
"customer_types": [],... | local_safe | companies_by_descendant_revenue | MATCH (company:Company)
MATCH (company)-[:HAS_SEGMENT]->(:BusinessSegment)-[:OFFERS]->(root:Offering)
MATCH (root)-[:OFFERS*0..]->(o:Offering)
WHERE root.name IN $offerings AND root.company_name = company.name AND o.company_name = company.name AND company.name IN $companies
MATCH (o)-[:MONETIZES_VIA]->(:RevenueModel {n... | {
"offerings": [
"Cloud Platform"
],
"companies": [
"Aurora Systems",
"Redwood Retail"
],
"revenue_model": "consumption-based"
} | [
{
"company": "Aurora Systems"
}
] | {
"route_label": "local_safe",
"family": "companies_by_descendant_revenue",
"bucket": "hierarchy",
"filter_count": 4,
"boolean_depth": 1,
"has_geography": false,
"has_descendant_offering": true,
"has_aggregation": false,
"source_graph_id": "aurora",
"source_graph_ids": [
"aurora"
]
} |
case-01f039bf1bc5 | companies_by_descendant_revenue-s1-t03 | graph | In this graph, within Aurora Systems and Redwood Retail, what companies use usage-based pricing for offerings under Cloud Platform, limited to 2? | {
"answerable": true,
"family": "companies_by_descendant_revenue",
"payload": {
"companies": [
"Aurora Systems",
"Redwood Retail"
],
"segments": [],
"offerings": [
"Cloud Platform"
],
"customer_types": [],
"channels": [],
"revenue_models": [
"consumption-bas... | {
"route_label": "local_safe",
"plan": {
"answerable": true,
"family": "companies_by_descendant_revenue",
"payload": {
"companies": [
"Aurora Systems",
"Redwood Retail"
],
"segments": [],
"offerings": [
"Cloud Platform"
],
"customer_types": [],... | local_safe | companies_by_descendant_revenue | MATCH (company:Company)
MATCH (company)-[:HAS_SEGMENT]->(:BusinessSegment)-[:OFFERS]->(root:Offering)
MATCH (root)-[:OFFERS*0..]->(o:Offering)
WHERE root.name IN $offerings AND root.company_name = company.name AND o.company_name = company.name AND company.name IN $companies
MATCH (o)-[:MONETIZES_VIA]->(:RevenueModel {n... | {
"offerings": [
"Cloud Platform"
],
"companies": [
"Aurora Systems",
"Redwood Retail"
],
"revenue_model": "consumption-based"
} | [
{
"company": "Aurora Systems"
}
] | {
"route_label": "local_safe",
"family": "companies_by_descendant_revenue",
"bucket": "hierarchy",
"filter_count": 4,
"boolean_depth": 1,
"has_geography": false,
"has_descendant_offering": true,
"has_aggregation": false,
"source_graph_id": "aurora",
"source_graph_ids": [
"aurora"
]
} |
case-01f039bf1bc5 | companies_by_descendant_revenue-s1-t03 | here | From what we have here, within Aurora Systems and Redwood Retail, what companies use usage-based pricing for offerings under Cloud Platform, limited to 2? | {
"answerable": true,
"family": "companies_by_descendant_revenue",
"payload": {
"companies": [
"Aurora Systems",
"Redwood Retail"
],
"segments": [],
"offerings": [
"Cloud Platform"
],
"customer_types": [],
"channels": [],
"revenue_models": [
"consumption-bas... | {
"route_label": "local_safe",
"plan": {
"answerable": true,
"family": "companies_by_descendant_revenue",
"payload": {
"companies": [
"Aurora Systems",
"Redwood Retail"
],
"segments": [],
"offerings": [
"Cloud Platform"
],
"customer_types": [],... | local_safe | companies_by_descendant_revenue | MATCH (company:Company)
MATCH (company)-[:HAS_SEGMENT]->(:BusinessSegment)-[:OFFERS]->(root:Offering)
MATCH (root)-[:OFFERS*0..]->(o:Offering)
WHERE root.name IN $offerings AND root.company_name = company.name AND o.company_name = company.name AND company.name IN $companies
MATCH (o)-[:MONETIZES_VIA]->(:RevenueModel {n... | {
"offerings": [
"Cloud Platform"
],
"companies": [
"Aurora Systems",
"Redwood Retail"
],
"revenue_model": "consumption-based"
} | [
{
"company": "Aurora Systems"
}
] | {
"route_label": "local_safe",
"family": "companies_by_descendant_revenue",
"bucket": "hierarchy",
"filter_count": 4,
"boolean_depth": 1,
"has_geography": false,
"has_descendant_offering": true,
"has_aggregation": false,
"source_graph_id": "aurora",
"source_graph_ids": [
"aurora"
]
} |
case-01f039bf1bc5 | companies_by_descendant_revenue-s1-t04 | based | Based on this graph, within Aurora Systems and Redwood Retail, identify up to 2 companies with offerings under Cloud Platform that use usage-based pricing. | {
"answerable": true,
"family": "companies_by_descendant_revenue",
"payload": {
"companies": [
"Aurora Systems",
"Redwood Retail"
],
"segments": [],
"offerings": [
"Cloud Platform"
],
"customer_types": [],
"channels": [],
"revenue_models": [
"consumption-bas... | {
"route_label": "local_safe",
"plan": {
"answerable": true,
"family": "companies_by_descendant_revenue",
"payload": {
"companies": [
"Aurora Systems",
"Redwood Retail"
],
"segments": [],
"offerings": [
"Cloud Platform"
],
"customer_types": [],... | local_safe | companies_by_descendant_revenue | MATCH (company:Company)
MATCH (company)-[:HAS_SEGMENT]->(:BusinessSegment)-[:OFFERS]->(root:Offering)
MATCH (root)-[:OFFERS*0..]->(o:Offering)
WHERE root.name IN $offerings AND root.company_name = company.name AND o.company_name = company.name AND company.name IN $companies
MATCH (o)-[:MONETIZES_VIA]->(:RevenueModel {n... | {
"offerings": [
"Cloud Platform"
],
"companies": [
"Aurora Systems",
"Redwood Retail"
],
"revenue_model": "consumption-based"
} | [
{
"company": "Aurora Systems"
}
] | {
"route_label": "local_safe",
"family": "companies_by_descendant_revenue",
"bucket": "hierarchy",
"filter_count": 4,
"boolean_depth": 1,
"has_geography": false,
"has_descendant_offering": true,
"has_aggregation": false,
"source_graph_id": "aurora",
"source_graph_ids": [
"aurora"
]
} |
case-01f039bf1bc5 | companies_by_descendant_revenue-s1-t04 | here | From what we have here, within Aurora Systems and Redwood Retail, identify up to 2 companies with offerings under Cloud Platform that use usage-based pricing. | {
"answerable": true,
"family": "companies_by_descendant_revenue",
"payload": {
"companies": [
"Aurora Systems",
"Redwood Retail"
],
"segments": [],
"offerings": [
"Cloud Platform"
],
"customer_types": [],
"channels": [],
"revenue_models": [
"consumption-bas... | {
"route_label": "local_safe",
"plan": {
"answerable": true,
"family": "companies_by_descendant_revenue",
"payload": {
"companies": [
"Aurora Systems",
"Redwood Retail"
],
"segments": [],
"offerings": [
"Cloud Platform"
],
"customer_types": [],... | local_safe | companies_by_descendant_revenue | MATCH (company:Company)
MATCH (company)-[:HAS_SEGMENT]->(:BusinessSegment)-[:OFFERS]->(root:Offering)
MATCH (root)-[:OFFERS*0..]->(o:Offering)
WHERE root.name IN $offerings AND root.company_name = company.name AND o.company_name = company.name AND company.name IN $companies
MATCH (o)-[:MONETIZES_VIA]->(:RevenueModel {n... | {
"offerings": [
"Cloud Platform"
],
"companies": [
"Aurora Systems",
"Redwood Retail"
],
"revenue_model": "consumption-based"
} | [
{
"company": "Aurora Systems"
}
] | {
"route_label": "local_safe",
"family": "companies_by_descendant_revenue",
"bucket": "hierarchy",
"filter_count": 4,
"boolean_depth": 1,
"has_geography": false,
"has_descendant_offering": true,
"has_aggregation": false,
"source_graph_id": "aurora",
"source_graph_ids": [
"aurora"
]
} |
case-01f039bf1bc5 | companies_by_descendant_revenue-s1-t05 | direct | Within Aurora Systems and Redwood Retail, name as many as 2 companies that use usage-based pricing for offerings under Cloud Platform. | {
"answerable": true,
"family": "companies_by_descendant_revenue",
"payload": {
"companies": [
"Aurora Systems",
"Redwood Retail"
],
"segments": [],
"offerings": [
"Cloud Platform"
],
"customer_types": [],
"channels": [],
"revenue_models": [
"consumption-bas... | {
"route_label": "local_safe",
"plan": {
"answerable": true,
"family": "companies_by_descendant_revenue",
"payload": {
"companies": [
"Aurora Systems",
"Redwood Retail"
],
"segments": [],
"offerings": [
"Cloud Platform"
],
"customer_types": [],... | local_safe | companies_by_descendant_revenue | MATCH (company:Company)
MATCH (company)-[:HAS_SEGMENT]->(:BusinessSegment)-[:OFFERS]->(root:Offering)
MATCH (root)-[:OFFERS*0..]->(o:Offering)
WHERE root.name IN $offerings AND root.company_name = company.name AND o.company_name = company.name AND company.name IN $companies
MATCH (o)-[:MONETIZES_VIA]->(:RevenueModel {n... | {
"offerings": [
"Cloud Platform"
],
"companies": [
"Aurora Systems",
"Redwood Retail"
],
"revenue_model": "consumption-based"
} | [
{
"company": "Aurora Systems"
}
] | {
"route_label": "local_safe",
"family": "companies_by_descendant_revenue",
"bucket": "hierarchy",
"filter_count": 4,
"boolean_depth": 1,
"has_geography": false,
"has_descendant_offering": true,
"has_aggregation": false,
"source_graph_id": "aurora",
"source_graph_ids": [
"aurora"
]
} |
case-0231f535ecb6 | segments_by_place_and_segment_filters-s0-t01 | here | From what we have here, which business segments belong to companies operating in United States and serve developers? | {
"answerable": true,
"family": "segments_by_place_and_segment_filters",
"payload": {
"companies": [],
"segments": [],
"offerings": [],
"customer_types": [
"developers"
],
"channels": [],
"revenue_models": [],
"places": [
"United States"
],
"partners": [],
"... | {
"route_label": "local_safe",
"plan": {
"answerable": true,
"family": "segments_by_place_and_segment_filters",
"payload": {
"companies": [],
"segments": [],
"offerings": [],
"customer_types": [
"developers"
],
"channels": [],
"revenue_models": [],
... | local_safe | segments_by_place_and_segment_filters | MATCH (company:Company)-[:OPERATES_IN]->(place:Place)
WHERE any(requested_place IN $places WHERE requested_place = place.name OR requested_place IN coalesce(place.includes_places, []) OR requested_place IN coalesce(place.within_places, []))
WITH DISTINCT company
MATCH (company:Company)-[:HAS_SEGMENT]->(s:BusinessSegmen... | {
"places": [
"United States"
],
"customer_type": "developers"
} | [
{
"company": "Aurora Systems",
"segment": "Cloud Infrastructure"
},
{
"company": "Aurora Systems",
"segment": "Data Products"
},
{
"company": "Lattice Finance",
"segment": "Developer Platform"
},
{
"company": "Redwood Retail",
"segment": "Analytics"
}
] | {
"route_label": "local_safe",
"family": "segments_by_place_and_segment_filters",
"bucket": "geography",
"filter_count": 2,
"boolean_depth": 0,
"has_geography": true,
"has_descendant_offering": false,
"has_aggregation": false,
"source_graph_id": "aurora+lattice+redwood",
"source_graph_ids": [
"a... |
case-0231f535ecb6 | segments_by_place_and_segment_filters-s0-t02 | direct | List the business segments for companies operating in United States that serve developers. | {
"answerable": true,
"family": "segments_by_place_and_segment_filters",
"payload": {
"companies": [],
"segments": [],
"offerings": [],
"customer_types": [
"developers"
],
"channels": [],
"revenue_models": [],
"places": [
"United States"
],
"partners": [],
"... | {
"route_label": "local_safe",
"plan": {
"answerable": true,
"family": "segments_by_place_and_segment_filters",
"payload": {
"companies": [],
"segments": [],
"offerings": [],
"customer_types": [
"developers"
],
"channels": [],
"revenue_models": [],
... | local_safe | segments_by_place_and_segment_filters | MATCH (company:Company)-[:OPERATES_IN]->(place:Place)
WHERE any(requested_place IN $places WHERE requested_place = place.name OR requested_place IN coalesce(place.includes_places, []) OR requested_place IN coalesce(place.within_places, []))
WITH DISTINCT company
MATCH (company:Company)-[:HAS_SEGMENT]->(s:BusinessSegmen... | {
"places": [
"United States"
],
"customer_type": "developers"
} | [
{
"company": "Aurora Systems",
"segment": "Cloud Infrastructure"
},
{
"company": "Aurora Systems",
"segment": "Data Products"
},
{
"company": "Lattice Finance",
"segment": "Developer Platform"
},
{
"company": "Redwood Retail",
"segment": "Analytics"
}
] | {
"route_label": "local_safe",
"family": "segments_by_place_and_segment_filters",
"bucket": "geography",
"filter_count": 2,
"boolean_depth": 0,
"has_geography": true,
"has_descendant_offering": false,
"has_aggregation": false,
"source_graph_id": "aurora+lattice+redwood",
"source_graph_ids": [
"a... |
case-0231f535ecb6 | segments_by_place_and_segment_filters-s0-t04 | based | Based on this graph, identify business segments whose company operates in United States and that serve developers. | {
"answerable": true,
"family": "segments_by_place_and_segment_filters",
"payload": {
"companies": [],
"segments": [],
"offerings": [],
"customer_types": [
"developers"
],
"channels": [],
"revenue_models": [],
"places": [
"United States"
],
"partners": [],
"... | {
"route_label": "local_safe",
"plan": {
"answerable": true,
"family": "segments_by_place_and_segment_filters",
"payload": {
"companies": [],
"segments": [],
"offerings": [],
"customer_types": [
"developers"
],
"channels": [],
"revenue_models": [],
... | local_safe | segments_by_place_and_segment_filters | MATCH (company:Company)-[:OPERATES_IN]->(place:Place)
WHERE any(requested_place IN $places WHERE requested_place = place.name OR requested_place IN coalesce(place.includes_places, []) OR requested_place IN coalesce(place.within_places, []))
WITH DISTINCT company
MATCH (company:Company)-[:HAS_SEGMENT]->(s:BusinessSegmen... | {
"places": [
"United States"
],
"customer_type": "developers"
} | [
{
"company": "Aurora Systems",
"segment": "Cloud Infrastructure"
},
{
"company": "Aurora Systems",
"segment": "Data Products"
},
{
"company": "Lattice Finance",
"segment": "Developer Platform"
},
{
"company": "Redwood Retail",
"segment": "Analytics"
}
] | {
"route_label": "local_safe",
"family": "segments_by_place_and_segment_filters",
"bucket": "geography",
"filter_count": 2,
"boolean_depth": 0,
"has_geography": true,
"has_descendant_offering": false,
"has_aggregation": false,
"source_graph_id": "aurora+lattice+redwood",
"source_graph_ids": [
"a... |
case-0231f535ecb6 | segments_by_place_and_segment_filters-s1-t01 | graph | In this graph, which business segments belong to companies operating in the U.S. and serve software builders? | {
"answerable": true,
"family": "segments_by_place_and_segment_filters",
"payload": {
"companies": [],
"segments": [],
"offerings": [],
"customer_types": [
"developers"
],
"channels": [],
"revenue_models": [],
"places": [
"United States"
],
"partners": [],
"... | {
"route_label": "local_safe",
"plan": {
"answerable": true,
"family": "segments_by_place_and_segment_filters",
"payload": {
"companies": [],
"segments": [],
"offerings": [],
"customer_types": [
"developers"
],
"channels": [],
"revenue_models": [],
... | local_safe | segments_by_place_and_segment_filters | MATCH (company:Company)-[:OPERATES_IN]->(place:Place)
WHERE any(requested_place IN $places WHERE requested_place = place.name OR requested_place IN coalesce(place.includes_places, []) OR requested_place IN coalesce(place.within_places, []))
WITH DISTINCT company
MATCH (company:Company)-[:HAS_SEGMENT]->(s:BusinessSegmen... | {
"places": [
"United States"
],
"customer_type": "developers"
} | [
{
"company": "Aurora Systems",
"segment": "Cloud Infrastructure"
},
{
"company": "Aurora Systems",
"segment": "Data Products"
},
{
"company": "Lattice Finance",
"segment": "Developer Platform"
},
{
"company": "Redwood Retail",
"segment": "Analytics"
}
] | {
"route_label": "local_safe",
"family": "segments_by_place_and_segment_filters",
"bucket": "geography",
"filter_count": 2,
"boolean_depth": 0,
"has_geography": true,
"has_descendant_offering": false,
"has_aggregation": false,
"source_graph_id": "aurora+lattice+redwood",
"source_graph_ids": [
"a... |
case-0231f535ecb6 | segments_by_place_and_segment_filters-s1-t04 | direct | Identify business segments whose company operates in the U.S. and that serve software builders. | {
"answerable": true,
"family": "segments_by_place_and_segment_filters",
"payload": {
"companies": [],
"segments": [],
"offerings": [],
"customer_types": [
"developers"
],
"channels": [],
"revenue_models": [],
"places": [
"United States"
],
"partners": [],
"... | {
"route_label": "local_safe",
"plan": {
"answerable": true,
"family": "segments_by_place_and_segment_filters",
"payload": {
"companies": [],
"segments": [],
"offerings": [],
"customer_types": [
"developers"
],
"channels": [],
"revenue_models": [],
... | local_safe | segments_by_place_and_segment_filters | MATCH (company:Company)-[:OPERATES_IN]->(place:Place)
WHERE any(requested_place IN $places WHERE requested_place = place.name OR requested_place IN coalesce(place.includes_places, []) OR requested_place IN coalesce(place.within_places, []))
WITH DISTINCT company
MATCH (company:Company)-[:HAS_SEGMENT]->(s:BusinessSegmen... | {
"places": [
"United States"
],
"customer_type": "developers"
} | [
{
"company": "Aurora Systems",
"segment": "Cloud Infrastructure"
},
{
"company": "Aurora Systems",
"segment": "Data Products"
},
{
"company": "Lattice Finance",
"segment": "Developer Platform"
},
{
"company": "Redwood Retail",
"segment": "Analytics"
}
] | {
"route_label": "local_safe",
"family": "segments_by_place_and_segment_filters",
"bucket": "geography",
"filter_count": 2,
"boolean_depth": 0,
"has_geography": true,
"has_descendant_offering": false,
"has_aggregation": false,
"source_graph_id": "aurora+lattice+redwood",
"source_graph_ids": [
"a... |
case-0266d9f511d8 | why_segment_matches-t05 | alone | Using this graph alone, give the rationale for matching Commerce Cloud at Aurora Systems to marketplaces. | {
"answerable": false,
"reason": "beyond_local_coverage"
} | {
"route_label": "strong_model_candidate",
"plan": {
"answerable": false,
"reason": "beyond_local_coverage"
}
} | strong_model_candidate | why_segment_matches | null | {} | [] | {
"route_label": "strong_model_candidate",
"family": "why_segment_matches",
"bucket": "strong_model_candidate",
"filter_count": 0,
"boolean_depth": 0,
"has_geography": false,
"has_descendant_offering": false,
"has_aggregation": false,
"source_graph_id": "aurora",
"source_graph_ids": [
"aurora"
... |
case-0266d9f511d8 | why_segment_matches-t05 | based | Based on this graph, give the rationale for matching Commerce Cloud at Aurora Systems to marketplaces. | {
"answerable": false,
"reason": "beyond_local_coverage"
} | {
"route_label": "strong_model_candidate",
"plan": {
"answerable": false,
"reason": "beyond_local_coverage"
}
} | strong_model_candidate | why_segment_matches | null | {} | [] | {
"route_label": "strong_model_candidate",
"family": "why_segment_matches",
"bucket": "strong_model_candidate",
"filter_count": 0,
"boolean_depth": 0,
"has_geography": false,
"has_descendant_offering": false,
"has_aggregation": false,
"source_graph_id": "aurora",
"source_graph_ids": [
"aurora"
... |
case-0266d9f511d8 | why_segment_matches-t06 | scope | With only this graph in view, explain the match between Commerce Cloud at Aurora Systems and marketplaces. | {
"answerable": false,
"reason": "beyond_local_coverage"
} | {
"route_label": "strong_model_candidate",
"plan": {
"answerable": false,
"reason": "beyond_local_coverage"
}
} | strong_model_candidate | why_segment_matches | null | {} | [] | {
"route_label": "strong_model_candidate",
"family": "why_segment_matches",
"bucket": "strong_model_candidate",
"filter_count": 0,
"boolean_depth": 0,
"has_geography": false,
"has_descendant_offering": false,
"has_aggregation": false,
"source_graph_id": "aurora",
"source_graph_ids": [
"aurora"
... |
case-026c4a908616 | compare_segments_by_channels-t02 | here | From what we have here, how do Developer Platform and Payments Network differ in their sales channels at Lattice Finance? | {
"answerable": false,
"reason": "beyond_local_coverage"
} | {
"route_label": "strong_model_candidate",
"plan": {
"answerable": false,
"reason": "beyond_local_coverage"
}
} | strong_model_candidate | compare_segments_by_channels | null | {} | [] | {
"route_label": "strong_model_candidate",
"family": "compare_segments_by_channels",
"bucket": "strong_model_candidate",
"filter_count": 0,
"boolean_depth": 0,
"has_geography": false,
"has_descendant_offering": false,
"has_aggregation": false,
"source_graph_id": "lattice",
"source_graph_ids": [
... |
case-026c4a908616 | compare_segments_by_channels-t02 | scope | With only this graph in view, how do Developer Platform and Payments Network differ in their sales channels at Lattice Finance? | {
"answerable": false,
"reason": "beyond_local_coverage"
} | {
"route_label": "strong_model_candidate",
"plan": {
"answerable": false,
"reason": "beyond_local_coverage"
}
} | strong_model_candidate | compare_segments_by_channels | null | {} | [] | {
"route_label": "strong_model_candidate",
"family": "compare_segments_by_channels",
"bucket": "strong_model_candidate",
"filter_count": 0,
"boolean_depth": 0,
"has_geography": false,
"has_descendant_offering": false,
"has_aggregation": false,
"source_graph_id": "lattice",
"source_graph_ids": [
... |
case-026c4a908616 | compare_segments_by_channels-t03 | alone | Using this graph alone, show a channel comparison for Developer Platform versus Payments Network at Lattice Finance. | {
"answerable": false,
"reason": "beyond_local_coverage"
} | {
"route_label": "strong_model_candidate",
"plan": {
"answerable": false,
"reason": "beyond_local_coverage"
}
} | strong_model_candidate | compare_segments_by_channels | null | {} | [] | {
"route_label": "strong_model_candidate",
"family": "compare_segments_by_channels",
"bucket": "strong_model_candidate",
"filter_count": 0,
"boolean_depth": 0,
"has_geography": false,
"has_descendant_offering": false,
"has_aggregation": false,
"source_graph_id": "lattice",
"source_graph_ids": [
... |
case-026c4a908616 | compare_segments_by_channels-t04 | alone | Using this graph alone, contrast Developer Platform with Payments Network at Lattice Finance on go-to-market channels. | {
"answerable": false,
"reason": "beyond_local_coverage"
} | {
"route_label": "strong_model_candidate",
"plan": {
"answerable": false,
"reason": "beyond_local_coverage"
}
} | strong_model_candidate | compare_segments_by_channels | null | {} | [] | {
"route_label": "strong_model_candidate",
"family": "compare_segments_by_channels",
"bucket": "strong_model_candidate",
"filter_count": 0,
"boolean_depth": 0,
"has_geography": false,
"has_descendant_offering": false,
"has_aggregation": false,
"source_graph_id": "lattice",
"source_graph_ids": [
... |
case-026c4a908616 | compare_segments_by_channels-t04 | direct | Contrast Developer Platform with Payments Network at Lattice Finance on go-to-market channels. | {
"answerable": false,
"reason": "beyond_local_coverage"
} | {
"route_label": "strong_model_candidate",
"plan": {
"answerable": false,
"reason": "beyond_local_coverage"
}
} | strong_model_candidate | compare_segments_by_channels | null | {} | [] | {
"route_label": "strong_model_candidate",
"family": "compare_segments_by_channels",
"bucket": "strong_model_candidate",
"filter_count": 0,
"boolean_depth": 0,
"has_geography": false,
"has_descendant_offering": false,
"has_aggregation": false,
"source_graph_id": "lattice",
"source_graph_ids": [
... |
case-026c4a908616 | compare_segments_by_channels-t05 | context | From the graph we're looking at, what is the channel mix comparison between Developer Platform and Payments Network at Lattice Finance? | {
"answerable": false,
"reason": "beyond_local_coverage"
} | {
"route_label": "strong_model_candidate",
"plan": {
"answerable": false,
"reason": "beyond_local_coverage"
}
} | strong_model_candidate | compare_segments_by_channels | null | {} | [] | {
"route_label": "strong_model_candidate",
"family": "compare_segments_by_channels",
"bucket": "strong_model_candidate",
"filter_count": 0,
"boolean_depth": 0,
"has_geography": false,
"has_descendant_offering": false,
"has_aggregation": false,
"source_graph_id": "lattice",
"source_graph_ids": [
... |
case-026c4a908616 | compare_segments_by_channels-t05 | here | From what we have here, what is the channel mix comparison between Developer Platform and Payments Network at Lattice Finance? | {
"answerable": false,
"reason": "beyond_local_coverage"
} | {
"route_label": "strong_model_candidate",
"plan": {
"answerable": false,
"reason": "beyond_local_coverage"
}
} | strong_model_candidate | compare_segments_by_channels | null | {} | [] | {
"route_label": "strong_model_candidate",
"family": "compare_segments_by_channels",
"bucket": "strong_model_candidate",
"filter_count": 0,
"boolean_depth": 0,
"has_geography": false,
"has_descendant_offering": false,
"has_aggregation": false,
"source_graph_id": "lattice",
"source_graph_ids": [
... |
case-026c4a908616 | compare_segments_by_channels-t05 | scope | With only this graph in view, what is the channel mix comparison between Developer Platform and Payments Network at Lattice Finance? | {
"answerable": false,
"reason": "beyond_local_coverage"
} | {
"route_label": "strong_model_candidate",
"plan": {
"answerable": false,
"reason": "beyond_local_coverage"
}
} | strong_model_candidate | compare_segments_by_channels | null | {} | [] | {
"route_label": "strong_model_candidate",
"family": "compare_segments_by_channels",
"bucket": "strong_model_candidate",
"filter_count": 0,
"boolean_depth": 0,
"has_geography": false,
"has_descendant_offering": false,
"has_aggregation": false,
"source_graph_id": "lattice",
"source_graph_ids": [
... |
case-026c4a908616 | compare_segments_by_channels-t06 | alone | Using this graph alone, compare the selling channels of Developer Platform and Payments Network at Lattice Finance. | {
"answerable": false,
"reason": "beyond_local_coverage"
} | {
"route_label": "strong_model_candidate",
"plan": {
"answerable": false,
"reason": "beyond_local_coverage"
}
} | strong_model_candidate | compare_segments_by_channels | null | {} | [] | {
"route_label": "strong_model_candidate",
"family": "compare_segments_by_channels",
"bucket": "strong_model_candidate",
"filter_count": 0,
"boolean_depth": 0,
"has_geography": false,
"has_descendant_offering": false,
"has_aggregation": false,
"source_graph_id": "lattice",
"source_graph_ids": [
... |
case-02991c726c43 | offerings_by_company-s0-t02 | based | Based on this graph, name as many as 4 offerings owned by Aurora Systems, Lattice Finance, and Redwood Retail. | {
"answerable": true,
"family": "offerings_by_company",
"payload": {
"companies": [
"Aurora Systems",
"Lattice Finance",
"Redwood Retail"
],
"segments": [],
"offerings": [],
"customer_types": [],
"channels": [],
"revenue_models": [],
"places": [],
"partners": ... | {
"route_label": "local_safe",
"plan": {
"answerable": true,
"family": "offerings_by_company",
"payload": {
"companies": [
"Aurora Systems",
"Lattice Finance",
"Redwood Retail"
],
"segments": [],
"offerings": [],
"customer_types": [],
"channels... | local_safe | offerings_by_company | MATCH (c:Company)-[:HAS_SEGMENT]->(s:BusinessSegment)-[:OFFERS]->(o:Offering)
WHERE s.company_name = c.name AND o.company_name = c.name AND c.name IN $companies
RETURN DISTINCT c.name AS company, o.name AS offering ORDER BY company, offering LIMIT 4 | {
"companies": [
"Aurora Systems",
"Lattice Finance",
"Redwood Retail"
]
} | [
{
"company": "Aurora Systems",
"offering": "Analytics Studio"
},
{
"company": "Aurora Systems",
"offering": "Automation Suite"
},
{
"company": "Aurora Systems",
"offering": "Citizen Services Portal"
},
{
"company": "Aurora Systems",
"offering": "Cloud Platform"
}
] | {
"route_label": "local_safe",
"family": "offerings_by_company",
"bucket": "inventory",
"filter_count": 3,
"boolean_depth": 0,
"has_geography": false,
"has_descendant_offering": false,
"has_aggregation": false,
"source_graph_id": "aurora",
"source_graph_ids": [
"aurora"
]
} |
case-02991c726c43 | offerings_by_company-s0-t02 | direct | Name as many as 4 offerings owned by Aurora Systems, Lattice Finance, and Redwood Retail. | {
"answerable": true,
"family": "offerings_by_company",
"payload": {
"companies": [
"Aurora Systems",
"Lattice Finance",
"Redwood Retail"
],
"segments": [],
"offerings": [],
"customer_types": [],
"channels": [],
"revenue_models": [],
"places": [],
"partners": ... | {
"route_label": "local_safe",
"plan": {
"answerable": true,
"family": "offerings_by_company",
"payload": {
"companies": [
"Aurora Systems",
"Lattice Finance",
"Redwood Retail"
],
"segments": [],
"offerings": [],
"customer_types": [],
"channels... | local_safe | offerings_by_company | MATCH (c:Company)-[:HAS_SEGMENT]->(s:BusinessSegment)-[:OFFERS]->(o:Offering)
WHERE s.company_name = c.name AND o.company_name = c.name AND c.name IN $companies
RETURN DISTINCT c.name AS company, o.name AS offering ORDER BY company, offering LIMIT 4 | {
"companies": [
"Aurora Systems",
"Lattice Finance",
"Redwood Retail"
]
} | [
{
"company": "Aurora Systems",
"offering": "Analytics Studio"
},
{
"company": "Aurora Systems",
"offering": "Automation Suite"
},
{
"company": "Aurora Systems",
"offering": "Citizen Services Portal"
},
{
"company": "Aurora Systems",
"offering": "Cloud Platform"
}
] | {
"route_label": "local_safe",
"family": "offerings_by_company",
"bucket": "inventory",
"filter_count": 3,
"boolean_depth": 0,
"has_geography": false,
"has_descendant_offering": false,
"has_aggregation": false,
"source_graph_id": "aurora",
"source_graph_ids": [
"aurora"
]
} |
case-02991c726c43 | offerings_by_company-s0-t03 | graph | In this graph, which offerings are associated with Aurora Systems, Lattice Finance, and Redwood Retail, limited to 4 results? | {
"answerable": true,
"family": "offerings_by_company",
"payload": {
"companies": [
"Aurora Systems",
"Lattice Finance",
"Redwood Retail"
],
"segments": [],
"offerings": [],
"customer_types": [],
"channels": [],
"revenue_models": [],
"places": [],
"partners": ... | {
"route_label": "local_safe",
"plan": {
"answerable": true,
"family": "offerings_by_company",
"payload": {
"companies": [
"Aurora Systems",
"Lattice Finance",
"Redwood Retail"
],
"segments": [],
"offerings": [],
"customer_types": [],
"channels... | local_safe | offerings_by_company | MATCH (c:Company)-[:HAS_SEGMENT]->(s:BusinessSegment)-[:OFFERS]->(o:Offering)
WHERE s.company_name = c.name AND o.company_name = c.name AND c.name IN $companies
RETURN DISTINCT c.name AS company, o.name AS offering ORDER BY company, offering LIMIT 4 | {
"companies": [
"Aurora Systems",
"Lattice Finance",
"Redwood Retail"
]
} | [
{
"company": "Aurora Systems",
"offering": "Analytics Studio"
},
{
"company": "Aurora Systems",
"offering": "Automation Suite"
},
{
"company": "Aurora Systems",
"offering": "Citizen Services Portal"
},
{
"company": "Aurora Systems",
"offering": "Cloud Platform"
}
] | {
"route_label": "local_safe",
"family": "offerings_by_company",
"bucket": "inventory",
"filter_count": 3,
"boolean_depth": 0,
"has_geography": false,
"has_descendant_offering": false,
"has_aggregation": false,
"source_graph_id": "aurora",
"source_graph_ids": [
"aurora"
]
} |
case-02991c726c43 | offerings_by_company-s0-t03 | here | From what we have here, which offerings are associated with Aurora Systems, Lattice Finance, and Redwood Retail, limited to 4 results? | {
"answerable": true,
"family": "offerings_by_company",
"payload": {
"companies": [
"Aurora Systems",
"Lattice Finance",
"Redwood Retail"
],
"segments": [],
"offerings": [],
"customer_types": [],
"channels": [],
"revenue_models": [],
"places": [],
"partners": ... | {
"route_label": "local_safe",
"plan": {
"answerable": true,
"family": "offerings_by_company",
"payload": {
"companies": [
"Aurora Systems",
"Lattice Finance",
"Redwood Retail"
],
"segments": [],
"offerings": [],
"customer_types": [],
"channels... | local_safe | offerings_by_company | MATCH (c:Company)-[:HAS_SEGMENT]->(s:BusinessSegment)-[:OFFERS]->(o:Offering)
WHERE s.company_name = c.name AND o.company_name = c.name AND c.name IN $companies
RETURN DISTINCT c.name AS company, o.name AS offering ORDER BY company, offering LIMIT 4 | {
"companies": [
"Aurora Systems",
"Lattice Finance",
"Redwood Retail"
]
} | [
{
"company": "Aurora Systems",
"offering": "Analytics Studio"
},
{
"company": "Aurora Systems",
"offering": "Automation Suite"
},
{
"company": "Aurora Systems",
"offering": "Citizen Services Portal"
},
{
"company": "Aurora Systems",
"offering": "Cloud Platform"
}
] | {
"route_label": "local_safe",
"family": "offerings_by_company",
"bucket": "inventory",
"filter_count": 3,
"boolean_depth": 0,
"has_geography": false,
"has_descendant_offering": false,
"has_aggregation": false,
"source_graph_id": "aurora",
"source_graph_ids": [
"aurora"
]
} |
case-02991c726c43 | offerings_by_company-s0-t04 | based | Based on this graph, identify up to 4 offerings associated with Aurora Systems, Lattice Finance, and Redwood Retail. | {
"answerable": true,
"family": "offerings_by_company",
"payload": {
"companies": [
"Aurora Systems",
"Lattice Finance",
"Redwood Retail"
],
"segments": [],
"offerings": [],
"customer_types": [],
"channels": [],
"revenue_models": [],
"places": [],
"partners": ... | {
"route_label": "local_safe",
"plan": {
"answerable": true,
"family": "offerings_by_company",
"payload": {
"companies": [
"Aurora Systems",
"Lattice Finance",
"Redwood Retail"
],
"segments": [],
"offerings": [],
"customer_types": [],
"channels... | local_safe | offerings_by_company | MATCH (c:Company)-[:HAS_SEGMENT]->(s:BusinessSegment)-[:OFFERS]->(o:Offering)
WHERE s.company_name = c.name AND o.company_name = c.name AND c.name IN $companies
RETURN DISTINCT c.name AS company, o.name AS offering ORDER BY company, offering LIMIT 4 | {
"companies": [
"Aurora Systems",
"Lattice Finance",
"Redwood Retail"
]
} | [
{
"company": "Aurora Systems",
"offering": "Analytics Studio"
},
{
"company": "Aurora Systems",
"offering": "Automation Suite"
},
{
"company": "Aurora Systems",
"offering": "Citizen Services Portal"
},
{
"company": "Aurora Systems",
"offering": "Cloud Platform"
}
] | {
"route_label": "local_safe",
"family": "offerings_by_company",
"bucket": "inventory",
"filter_count": 3,
"boolean_depth": 0,
"has_geography": false,
"has_descendant_offering": false,
"has_aggregation": false,
"source_graph_id": "aurora",
"source_graph_ids": [
"aurora"
]
} |
case-02991c726c43 | offerings_by_company-s0-t04 | direct | Identify up to 4 offerings associated with Aurora Systems, Lattice Finance, and Redwood Retail. | {
"answerable": true,
"family": "offerings_by_company",
"payload": {
"companies": [
"Aurora Systems",
"Lattice Finance",
"Redwood Retail"
],
"segments": [],
"offerings": [],
"customer_types": [],
"channels": [],
"revenue_models": [],
"places": [],
"partners": ... | {
"route_label": "local_safe",
"plan": {
"answerable": true,
"family": "offerings_by_company",
"payload": {
"companies": [
"Aurora Systems",
"Lattice Finance",
"Redwood Retail"
],
"segments": [],
"offerings": [],
"customer_types": [],
"channels... | local_safe | offerings_by_company | MATCH (c:Company)-[:HAS_SEGMENT]->(s:BusinessSegment)-[:OFFERS]->(o:Offering)
WHERE s.company_name = c.name AND o.company_name = c.name AND c.name IN $companies
RETURN DISTINCT c.name AS company, o.name AS offering ORDER BY company, offering LIMIT 4 | {
"companies": [
"Aurora Systems",
"Lattice Finance",
"Redwood Retail"
]
} | [
{
"company": "Aurora Systems",
"offering": "Analytics Studio"
},
{
"company": "Aurora Systems",
"offering": "Automation Suite"
},
{
"company": "Aurora Systems",
"offering": "Citizen Services Portal"
},
{
"company": "Aurora Systems",
"offering": "Cloud Platform"
}
] | {
"route_label": "local_safe",
"family": "offerings_by_company",
"bucket": "inventory",
"filter_count": 3,
"boolean_depth": 0,
"has_geography": false,
"has_descendant_offering": false,
"has_aggregation": false,
"source_graph_id": "aurora",
"source_graph_ids": [
"aurora"
]
} |
case-02991c726c43 | offerings_by_company-s0-t04 | here | From what we have here, identify up to 4 offerings associated with Aurora Systems, Lattice Finance, and Redwood Retail. | {
"answerable": true,
"family": "offerings_by_company",
"payload": {
"companies": [
"Aurora Systems",
"Lattice Finance",
"Redwood Retail"
],
"segments": [],
"offerings": [],
"customer_types": [],
"channels": [],
"revenue_models": [],
"places": [],
"partners": ... | {
"route_label": "local_safe",
"plan": {
"answerable": true,
"family": "offerings_by_company",
"payload": {
"companies": [
"Aurora Systems",
"Lattice Finance",
"Redwood Retail"
],
"segments": [],
"offerings": [],
"customer_types": [],
"channels... | local_safe | offerings_by_company | MATCH (c:Company)-[:HAS_SEGMENT]->(s:BusinessSegment)-[:OFFERS]->(o:Offering)
WHERE s.company_name = c.name AND o.company_name = c.name AND c.name IN $companies
RETURN DISTINCT c.name AS company, o.name AS offering ORDER BY company, offering LIMIT 4 | {
"companies": [
"Aurora Systems",
"Lattice Finance",
"Redwood Retail"
]
} | [
{
"company": "Aurora Systems",
"offering": "Analytics Studio"
},
{
"company": "Aurora Systems",
"offering": "Automation Suite"
},
{
"company": "Aurora Systems",
"offering": "Citizen Services Portal"
},
{
"company": "Aurora Systems",
"offering": "Cloud Platform"
}
] | {
"route_label": "local_safe",
"family": "offerings_by_company",
"bucket": "inventory",
"filter_count": 3,
"boolean_depth": 0,
"has_geography": false,
"has_descendant_offering": false,
"has_aggregation": false,
"source_graph_id": "aurora",
"source_graph_ids": [
"aurora"
]
} |
case-02991c726c43 | offerings_by_company-s0-t06 | direct | Name up to 4 offerings attached to Aurora Systems, Lattice Finance, and Redwood Retail. | {
"answerable": true,
"family": "offerings_by_company",
"payload": {
"companies": [
"Aurora Systems",
"Lattice Finance",
"Redwood Retail"
],
"segments": [],
"offerings": [],
"customer_types": [],
"channels": [],
"revenue_models": [],
"places": [],
"partners": ... | {
"route_label": "local_safe",
"plan": {
"answerable": true,
"family": "offerings_by_company",
"payload": {
"companies": [
"Aurora Systems",
"Lattice Finance",
"Redwood Retail"
],
"segments": [],
"offerings": [],
"customer_types": [],
"channels... | local_safe | offerings_by_company | MATCH (c:Company)-[:HAS_SEGMENT]->(s:BusinessSegment)-[:OFFERS]->(o:Offering)
WHERE s.company_name = c.name AND o.company_name = c.name AND c.name IN $companies
RETURN DISTINCT c.name AS company, o.name AS offering ORDER BY company, offering LIMIT 4 | {
"companies": [
"Aurora Systems",
"Lattice Finance",
"Redwood Retail"
]
} | [
{
"company": "Aurora Systems",
"offering": "Analytics Studio"
},
{
"company": "Aurora Systems",
"offering": "Automation Suite"
},
{
"company": "Aurora Systems",
"offering": "Citizen Services Portal"
},
{
"company": "Aurora Systems",
"offering": "Cloud Platform"
}
] | {
"route_label": "local_safe",
"family": "offerings_by_company",
"bucket": "inventory",
"filter_count": 3,
"boolean_depth": 0,
"has_geography": false,
"has_descendant_offering": false,
"has_aggregation": false,
"source_graph_id": "aurora",
"source_graph_ids": [
"aurora"
]
} |
case-02991c726c43 | offerings_by_company-s0-t06 | graph | In this graph, name up to 4 offerings attached to Aurora Systems, Lattice Finance, and Redwood Retail. | {
"answerable": true,
"family": "offerings_by_company",
"payload": {
"companies": [
"Aurora Systems",
"Lattice Finance",
"Redwood Retail"
],
"segments": [],
"offerings": [],
"customer_types": [],
"channels": [],
"revenue_models": [],
"places": [],
"partners": ... | {
"route_label": "local_safe",
"plan": {
"answerable": true,
"family": "offerings_by_company",
"payload": {
"companies": [
"Aurora Systems",
"Lattice Finance",
"Redwood Retail"
],
"segments": [],
"offerings": [],
"customer_types": [],
"channels... | local_safe | offerings_by_company | MATCH (c:Company)-[:HAS_SEGMENT]->(s:BusinessSegment)-[:OFFERS]->(o:Offering)
WHERE s.company_name = c.name AND o.company_name = c.name AND c.name IN $companies
RETURN DISTINCT c.name AS company, o.name AS offering ORDER BY company, offering LIMIT 4 | {
"companies": [
"Aurora Systems",
"Lattice Finance",
"Redwood Retail"
]
} | [
{
"company": "Aurora Systems",
"offering": "Analytics Studio"
},
{
"company": "Aurora Systems",
"offering": "Automation Suite"
},
{
"company": "Aurora Systems",
"offering": "Citizen Services Portal"
},
{
"company": "Aurora Systems",
"offering": "Cloud Platform"
}
] | {
"route_label": "local_safe",
"family": "offerings_by_company",
"bucket": "inventory",
"filter_count": 3,
"boolean_depth": 0,
"has_geography": false,
"has_descendant_offering": false,
"has_aggregation": false,
"source_graph_id": "aurora",
"source_graph_ids": [
"aurora"
]
} |
case-02bc452d2244 | count_aggregate-s0-t01 | based | Based on this graph, how many offerings does Aurora Systems have? | {
"answerable": true,
"family": "count_aggregate",
"payload": {
"companies": [
"Aurora Systems"
],
"segments": [],
"offerings": [],
"customer_types": [],
"channels": [],
"revenue_models": [],
"places": [],
"partners": [],
"aggregate_spec": {
"kind": "count",
... | {
"route_label": "local_safe",
"plan": {
"answerable": true,
"family": "count_aggregate",
"payload": {
"companies": [
"Aurora Systems"
],
"segments": [],
"offerings": [],
"customer_types": [],
"channels": [],
"revenue_models": [],
"places": [],
... | local_safe | count_aggregate | MATCH (c:Company)-[:HAS_SEGMENT]->(s:BusinessSegment)-[:OFFERS]->(o:Offering)
WHERE s.company_name = c.name AND o.company_name = c.name AND c.name IN $companies
RETURN COUNT(DISTINCT [c.name, o.name]) AS offering_count | {
"companies": [
"Aurora Systems"
]
} | [
{
"offering_count": 19
}
] | {
"route_label": "local_safe",
"family": "count_aggregate",
"bucket": "count",
"filter_count": 1,
"boolean_depth": 0,
"has_geography": false,
"has_descendant_offering": false,
"has_aggregation": true,
"source_graph_id": "aurora",
"source_graph_ids": [
"aurora"
]
} |
case-02bc452d2244 | count_aggregate-s0-t01 | direct | How many offerings does Aurora Systems have? | {
"answerable": true,
"family": "count_aggregate",
"payload": {
"companies": [
"Aurora Systems"
],
"segments": [],
"offerings": [],
"customer_types": [],
"channels": [],
"revenue_models": [],
"places": [],
"partners": [],
"aggregate_spec": {
"kind": "count",
... | {
"route_label": "local_safe",
"plan": {
"answerable": true,
"family": "count_aggregate",
"payload": {
"companies": [
"Aurora Systems"
],
"segments": [],
"offerings": [],
"customer_types": [],
"channels": [],
"revenue_models": [],
"places": [],
... | local_safe | count_aggregate | MATCH (c:Company)-[:HAS_SEGMENT]->(s:BusinessSegment)-[:OFFERS]->(o:Offering)
WHERE s.company_name = c.name AND o.company_name = c.name AND c.name IN $companies
RETURN COUNT(DISTINCT [c.name, o.name]) AS offering_count | {
"companies": [
"Aurora Systems"
]
} | [
{
"offering_count": 19
}
] | {
"route_label": "local_safe",
"family": "count_aggregate",
"bucket": "count",
"filter_count": 1,
"boolean_depth": 0,
"has_geography": false,
"has_descendant_offering": false,
"has_aggregation": true,
"source_graph_id": "aurora",
"source_graph_ids": [
"aurora"
]
} |
case-02bc452d2244 | count_aggregate-s0-t01 | graph | In this graph, how many offerings does Aurora Systems have? | {
"answerable": true,
"family": "count_aggregate",
"payload": {
"companies": [
"Aurora Systems"
],
"segments": [],
"offerings": [],
"customer_types": [],
"channels": [],
"revenue_models": [],
"places": [],
"partners": [],
"aggregate_spec": {
"kind": "count",
... | {
"route_label": "local_safe",
"plan": {
"answerable": true,
"family": "count_aggregate",
"payload": {
"companies": [
"Aurora Systems"
],
"segments": [],
"offerings": [],
"customer_types": [],
"channels": [],
"revenue_models": [],
"places": [],
... | local_safe | count_aggregate | MATCH (c:Company)-[:HAS_SEGMENT]->(s:BusinessSegment)-[:OFFERS]->(o:Offering)
WHERE s.company_name = c.name AND o.company_name = c.name AND c.name IN $companies
RETURN COUNT(DISTINCT [c.name, o.name]) AS offering_count | {
"companies": [
"Aurora Systems"
]
} | [
{
"offering_count": 19
}
] | {
"route_label": "local_safe",
"family": "count_aggregate",
"bucket": "count",
"filter_count": 1,
"boolean_depth": 0,
"has_geography": false,
"has_descendant_offering": false,
"has_aggregation": true,
"source_graph_id": "aurora",
"source_graph_ids": [
"aurora"
]
} |
case-02bc452d2244 | count_aggregate-s0-t01 | here | From what we have here, how many offerings does Aurora Systems have? | {
"answerable": true,
"family": "count_aggregate",
"payload": {
"companies": [
"Aurora Systems"
],
"segments": [],
"offerings": [],
"customer_types": [],
"channels": [],
"revenue_models": [],
"places": [],
"partners": [],
"aggregate_spec": {
"kind": "count",
... | {
"route_label": "local_safe",
"plan": {
"answerable": true,
"family": "count_aggregate",
"payload": {
"companies": [
"Aurora Systems"
],
"segments": [],
"offerings": [],
"customer_types": [],
"channels": [],
"revenue_models": [],
"places": [],
... | local_safe | count_aggregate | MATCH (c:Company)-[:HAS_SEGMENT]->(s:BusinessSegment)-[:OFFERS]->(o:Offering)
WHERE s.company_name = c.name AND o.company_name = c.name AND c.name IN $companies
RETURN COUNT(DISTINCT [c.name, o.name]) AS offering_count | {
"companies": [
"Aurora Systems"
]
} | [
{
"offering_count": 19
}
] | {
"route_label": "local_safe",
"family": "count_aggregate",
"bucket": "count",
"filter_count": 1,
"boolean_depth": 0,
"has_geography": false,
"has_descendant_offering": false,
"has_aggregation": true,
"source_graph_id": "aurora",
"source_graph_ids": [
"aurora"
]
} |
case-02bc452d2244 | count_aggregate-s0-t02 | based | Based on this graph, count the offerings at Aurora Systems. | {
"answerable": true,
"family": "count_aggregate",
"payload": {
"companies": [
"Aurora Systems"
],
"segments": [],
"offerings": [],
"customer_types": [],
"channels": [],
"revenue_models": [],
"places": [],
"partners": [],
"aggregate_spec": {
"kind": "count",
... | {
"route_label": "local_safe",
"plan": {
"answerable": true,
"family": "count_aggregate",
"payload": {
"companies": [
"Aurora Systems"
],
"segments": [],
"offerings": [],
"customer_types": [],
"channels": [],
"revenue_models": [],
"places": [],
... | local_safe | count_aggregate | MATCH (c:Company)-[:HAS_SEGMENT]->(s:BusinessSegment)-[:OFFERS]->(o:Offering)
WHERE s.company_name = c.name AND o.company_name = c.name AND c.name IN $companies
RETURN COUNT(DISTINCT [c.name, o.name]) AS offering_count | {
"companies": [
"Aurora Systems"
]
} | [
{
"offering_count": 19
}
] | {
"route_label": "local_safe",
"family": "count_aggregate",
"bucket": "count",
"filter_count": 1,
"boolean_depth": 0,
"has_geography": false,
"has_descendant_offering": false,
"has_aggregation": true,
"source_graph_id": "aurora",
"source_graph_ids": [
"aurora"
]
} |
case-02bc452d2244 | count_aggregate-s0-t02 | direct | Count the offerings at Aurora Systems. | {
"answerable": true,
"family": "count_aggregate",
"payload": {
"companies": [
"Aurora Systems"
],
"segments": [],
"offerings": [],
"customer_types": [],
"channels": [],
"revenue_models": [],
"places": [],
"partners": [],
"aggregate_spec": {
"kind": "count",
... | {
"route_label": "local_safe",
"plan": {
"answerable": true,
"family": "count_aggregate",
"payload": {
"companies": [
"Aurora Systems"
],
"segments": [],
"offerings": [],
"customer_types": [],
"channels": [],
"revenue_models": [],
"places": [],
... | local_safe | count_aggregate | MATCH (c:Company)-[:HAS_SEGMENT]->(s:BusinessSegment)-[:OFFERS]->(o:Offering)
WHERE s.company_name = c.name AND o.company_name = c.name AND c.name IN $companies
RETURN COUNT(DISTINCT [c.name, o.name]) AS offering_count | {
"companies": [
"Aurora Systems"
]
} | [
{
"offering_count": 19
}
] | {
"route_label": "local_safe",
"family": "count_aggregate",
"bucket": "count",
"filter_count": 1,
"boolean_depth": 0,
"has_geography": false,
"has_descendant_offering": false,
"has_aggregation": true,
"source_graph_id": "aurora",
"source_graph_ids": [
"aurora"
]
} |
case-02bc452d2244 | count_aggregate-s0-t02 | graph | In this graph, count the offerings at Aurora Systems. | {
"answerable": true,
"family": "count_aggregate",
"payload": {
"companies": [
"Aurora Systems"
],
"segments": [],
"offerings": [],
"customer_types": [],
"channels": [],
"revenue_models": [],
"places": [],
"partners": [],
"aggregate_spec": {
"kind": "count",
... | {
"route_label": "local_safe",
"plan": {
"answerable": true,
"family": "count_aggregate",
"payload": {
"companies": [
"Aurora Systems"
],
"segments": [],
"offerings": [],
"customer_types": [],
"channels": [],
"revenue_models": [],
"places": [],
... | local_safe | count_aggregate | MATCH (c:Company)-[:HAS_SEGMENT]->(s:BusinessSegment)-[:OFFERS]->(o:Offering)
WHERE s.company_name = c.name AND o.company_name = c.name AND c.name IN $companies
RETURN COUNT(DISTINCT [c.name, o.name]) AS offering_count | {
"companies": [
"Aurora Systems"
]
} | [
{
"offering_count": 19
}
] | {
"route_label": "local_safe",
"family": "count_aggregate",
"bucket": "count",
"filter_count": 1,
"boolean_depth": 0,
"has_geography": false,
"has_descendant_offering": false,
"has_aggregation": true,
"source_graph_id": "aurora",
"source_graph_ids": [
"aurora"
]
} |
case-02bc452d2244 | count_aggregate-s0-t02 | here | From what we have here, count the offerings at Aurora Systems. | {
"answerable": true,
"family": "count_aggregate",
"payload": {
"companies": [
"Aurora Systems"
],
"segments": [],
"offerings": [],
"customer_types": [],
"channels": [],
"revenue_models": [],
"places": [],
"partners": [],
"aggregate_spec": {
"kind": "count",
... | {
"route_label": "local_safe",
"plan": {
"answerable": true,
"family": "count_aggregate",
"payload": {
"companies": [
"Aurora Systems"
],
"segments": [],
"offerings": [],
"customer_types": [],
"channels": [],
"revenue_models": [],
"places": [],
... | local_safe | count_aggregate | MATCH (c:Company)-[:HAS_SEGMENT]->(s:BusinessSegment)-[:OFFERS]->(o:Offering)
WHERE s.company_name = c.name AND o.company_name = c.name AND c.name IN $companies
RETURN COUNT(DISTINCT [c.name, o.name]) AS offering_count | {
"companies": [
"Aurora Systems"
]
} | [
{
"offering_count": 19
}
] | {
"route_label": "local_safe",
"family": "count_aggregate",
"bucket": "count",
"filter_count": 1,
"boolean_depth": 0,
"has_geography": false,
"has_descendant_offering": false,
"has_aggregation": true,
"source_graph_id": "aurora",
"source_graph_ids": [
"aurora"
]
} |
case-02bc452d2244 | count_aggregate-s0-t03 | based | Based on this graph, what is the number of offerings at Aurora Systems? | {
"answerable": true,
"family": "count_aggregate",
"payload": {
"companies": [
"Aurora Systems"
],
"segments": [],
"offerings": [],
"customer_types": [],
"channels": [],
"revenue_models": [],
"places": [],
"partners": [],
"aggregate_spec": {
"kind": "count",
... | {
"route_label": "local_safe",
"plan": {
"answerable": true,
"family": "count_aggregate",
"payload": {
"companies": [
"Aurora Systems"
],
"segments": [],
"offerings": [],
"customer_types": [],
"channels": [],
"revenue_models": [],
"places": [],
... | local_safe | count_aggregate | MATCH (c:Company)-[:HAS_SEGMENT]->(s:BusinessSegment)-[:OFFERS]->(o:Offering)
WHERE s.company_name = c.name AND o.company_name = c.name AND c.name IN $companies
RETURN COUNT(DISTINCT [c.name, o.name]) AS offering_count | {
"companies": [
"Aurora Systems"
]
} | [
{
"offering_count": 19
}
] | {
"route_label": "local_safe",
"family": "count_aggregate",
"bucket": "count",
"filter_count": 1,
"boolean_depth": 0,
"has_geography": false,
"has_descendant_offering": false,
"has_aggregation": true,
"source_graph_id": "aurora",
"source_graph_ids": [
"aurora"
]
} |
case-02bc452d2244 | count_aggregate-s0-t03 | direct | What is the number of offerings at Aurora Systems? | {
"answerable": true,
"family": "count_aggregate",
"payload": {
"companies": [
"Aurora Systems"
],
"segments": [],
"offerings": [],
"customer_types": [],
"channels": [],
"revenue_models": [],
"places": [],
"partners": [],
"aggregate_spec": {
"kind": "count",
... | {
"route_label": "local_safe",
"plan": {
"answerable": true,
"family": "count_aggregate",
"payload": {
"companies": [
"Aurora Systems"
],
"segments": [],
"offerings": [],
"customer_types": [],
"channels": [],
"revenue_models": [],
"places": [],
... | local_safe | count_aggregate | MATCH (c:Company)-[:HAS_SEGMENT]->(s:BusinessSegment)-[:OFFERS]->(o:Offering)
WHERE s.company_name = c.name AND o.company_name = c.name AND c.name IN $companies
RETURN COUNT(DISTINCT [c.name, o.name]) AS offering_count | {
"companies": [
"Aurora Systems"
]
} | [
{
"offering_count": 19
}
] | {
"route_label": "local_safe",
"family": "count_aggregate",
"bucket": "count",
"filter_count": 1,
"boolean_depth": 0,
"has_geography": false,
"has_descendant_offering": false,
"has_aggregation": true,
"source_graph_id": "aurora",
"source_graph_ids": [
"aurora"
]
} |
case-02bc452d2244 | count_aggregate-s0-t03 | graph | In this graph, what is the number of offerings at Aurora Systems? | {
"answerable": true,
"family": "count_aggregate",
"payload": {
"companies": [
"Aurora Systems"
],
"segments": [],
"offerings": [],
"customer_types": [],
"channels": [],
"revenue_models": [],
"places": [],
"partners": [],
"aggregate_spec": {
"kind": "count",
... | {
"route_label": "local_safe",
"plan": {
"answerable": true,
"family": "count_aggregate",
"payload": {
"companies": [
"Aurora Systems"
],
"segments": [],
"offerings": [],
"customer_types": [],
"channels": [],
"revenue_models": [],
"places": [],
... | local_safe | count_aggregate | MATCH (c:Company)-[:HAS_SEGMENT]->(s:BusinessSegment)-[:OFFERS]->(o:Offering)
WHERE s.company_name = c.name AND o.company_name = c.name AND c.name IN $companies
RETURN COUNT(DISTINCT [c.name, o.name]) AS offering_count | {
"companies": [
"Aurora Systems"
]
} | [
{
"offering_count": 19
}
] | {
"route_label": "local_safe",
"family": "count_aggregate",
"bucket": "count",
"filter_count": 1,
"boolean_depth": 0,
"has_geography": false,
"has_descendant_offering": false,
"has_aggregation": true,
"source_graph_id": "aurora",
"source_graph_ids": [
"aurora"
]
} |
case-02bc452d2244 | count_aggregate-s0-t03 | here | From what we have here, what is the number of offerings at Aurora Systems? | {
"answerable": true,
"family": "count_aggregate",
"payload": {
"companies": [
"Aurora Systems"
],
"segments": [],
"offerings": [],
"customer_types": [],
"channels": [],
"revenue_models": [],
"places": [],
"partners": [],
"aggregate_spec": {
"kind": "count",
... | {
"route_label": "local_safe",
"plan": {
"answerable": true,
"family": "count_aggregate",
"payload": {
"companies": [
"Aurora Systems"
],
"segments": [],
"offerings": [],
"customer_types": [],
"channels": [],
"revenue_models": [],
"places": [],
... | local_safe | count_aggregate | MATCH (c:Company)-[:HAS_SEGMENT]->(s:BusinessSegment)-[:OFFERS]->(o:Offering)
WHERE s.company_name = c.name AND o.company_name = c.name AND c.name IN $companies
RETURN COUNT(DISTINCT [c.name, o.name]) AS offering_count | {
"companies": [
"Aurora Systems"
]
} | [
{
"offering_count": 19
}
] | {
"route_label": "local_safe",
"family": "count_aggregate",
"bucket": "count",
"filter_count": 1,
"boolean_depth": 0,
"has_geography": false,
"has_descendant_offering": false,
"has_aggregation": true,
"source_graph_id": "aurora",
"source_graph_ids": [
"aurora"
]
} |
case-02bc452d2244 | count_aggregate-s0-t04 | based | Based on this graph, how many offerings belong to Aurora Systems? | {
"answerable": true,
"family": "count_aggregate",
"payload": {
"companies": [
"Aurora Systems"
],
"segments": [],
"offerings": [],
"customer_types": [],
"channels": [],
"revenue_models": [],
"places": [],
"partners": [],
"aggregate_spec": {
"kind": "count",
... | {
"route_label": "local_safe",
"plan": {
"answerable": true,
"family": "count_aggregate",
"payload": {
"companies": [
"Aurora Systems"
],
"segments": [],
"offerings": [],
"customer_types": [],
"channels": [],
"revenue_models": [],
"places": [],
... | local_safe | count_aggregate | MATCH (c:Company)-[:HAS_SEGMENT]->(s:BusinessSegment)-[:OFFERS]->(o:Offering)
WHERE s.company_name = c.name AND o.company_name = c.name AND c.name IN $companies
RETURN COUNT(DISTINCT [c.name, o.name]) AS offering_count | {
"companies": [
"Aurora Systems"
]
} | [
{
"offering_count": 19
}
] | {
"route_label": "local_safe",
"family": "count_aggregate",
"bucket": "count",
"filter_count": 1,
"boolean_depth": 0,
"has_geography": false,
"has_descendant_offering": false,
"has_aggregation": true,
"source_graph_id": "aurora",
"source_graph_ids": [
"aurora"
]
} |
case-02bc452d2244 | count_aggregate-s0-t04 | direct | How many offerings belong to Aurora Systems? | {
"answerable": true,
"family": "count_aggregate",
"payload": {
"companies": [
"Aurora Systems"
],
"segments": [],
"offerings": [],
"customer_types": [],
"channels": [],
"revenue_models": [],
"places": [],
"partners": [],
"aggregate_spec": {
"kind": "count",
... | {
"route_label": "local_safe",
"plan": {
"answerable": true,
"family": "count_aggregate",
"payload": {
"companies": [
"Aurora Systems"
],
"segments": [],
"offerings": [],
"customer_types": [],
"channels": [],
"revenue_models": [],
"places": [],
... | local_safe | count_aggregate | MATCH (c:Company)-[:HAS_SEGMENT]->(s:BusinessSegment)-[:OFFERS]->(o:Offering)
WHERE s.company_name = c.name AND o.company_name = c.name AND c.name IN $companies
RETURN COUNT(DISTINCT [c.name, o.name]) AS offering_count | {
"companies": [
"Aurora Systems"
]
} | [
{
"offering_count": 19
}
] | {
"route_label": "local_safe",
"family": "count_aggregate",
"bucket": "count",
"filter_count": 1,
"boolean_depth": 0,
"has_geography": false,
"has_descendant_offering": false,
"has_aggregation": true,
"source_graph_id": "aurora",
"source_graph_ids": [
"aurora"
]
} |
case-02bc452d2244 | count_aggregate-s0-t04 | graph | In this graph, how many offerings belong to Aurora Systems? | {
"answerable": true,
"family": "count_aggregate",
"payload": {
"companies": [
"Aurora Systems"
],
"segments": [],
"offerings": [],
"customer_types": [],
"channels": [],
"revenue_models": [],
"places": [],
"partners": [],
"aggregate_spec": {
"kind": "count",
... | {
"route_label": "local_safe",
"plan": {
"answerable": true,
"family": "count_aggregate",
"payload": {
"companies": [
"Aurora Systems"
],
"segments": [],
"offerings": [],
"customer_types": [],
"channels": [],
"revenue_models": [],
"places": [],
... | local_safe | count_aggregate | MATCH (c:Company)-[:HAS_SEGMENT]->(s:BusinessSegment)-[:OFFERS]->(o:Offering)
WHERE s.company_name = c.name AND o.company_name = c.name AND c.name IN $companies
RETURN COUNT(DISTINCT [c.name, o.name]) AS offering_count | {
"companies": [
"Aurora Systems"
]
} | [
{
"offering_count": 19
}
] | {
"route_label": "local_safe",
"family": "count_aggregate",
"bucket": "count",
"filter_count": 1,
"boolean_depth": 0,
"has_geography": false,
"has_descendant_offering": false,
"has_aggregation": true,
"source_graph_id": "aurora",
"source_graph_ids": [
"aurora"
]
} |
case-02bc452d2244 | count_aggregate-s0-t04 | here | From what we have here, how many offerings belong to Aurora Systems? | {
"answerable": true,
"family": "count_aggregate",
"payload": {
"companies": [
"Aurora Systems"
],
"segments": [],
"offerings": [],
"customer_types": [],
"channels": [],
"revenue_models": [],
"places": [],
"partners": [],
"aggregate_spec": {
"kind": "count",
... | {
"route_label": "local_safe",
"plan": {
"answerable": true,
"family": "count_aggregate",
"payload": {
"companies": [
"Aurora Systems"
],
"segments": [],
"offerings": [],
"customer_types": [],
"channels": [],
"revenue_models": [],
"places": [],
... | local_safe | count_aggregate | MATCH (c:Company)-[:HAS_SEGMENT]->(s:BusinessSegment)-[:OFFERS]->(o:Offering)
WHERE s.company_name = c.name AND o.company_name = c.name AND c.name IN $companies
RETURN COUNT(DISTINCT [c.name, o.name]) AS offering_count | {
"companies": [
"Aurora Systems"
]
} | [
{
"offering_count": 19
}
] | {
"route_label": "local_safe",
"family": "count_aggregate",
"bucket": "count",
"filter_count": 1,
"boolean_depth": 0,
"has_geography": false,
"has_descendant_offering": false,
"has_aggregation": true,
"source_graph_id": "aurora",
"source_graph_ids": [
"aurora"
]
} |
End of preview.
Business Model KG Query Planner Dataset
This repository contains the curated training and evaluation data used for the Business Model KG local query stack.
The query stack has two jobs:
- a router decides whether a user question can be answered locally, should fall back to a stronger hosted model, or should be refused
- a planner converts supported local questions into compact query plans that the project runtime can compile into read-only Cypher
This dataset is the supervision source for that workflow.
Layout
train.jsonl
validation.jsonl
release_eval.jsonl
planner_only_open_literal_copying_augmentation.jsonl
train_synthetic_graphs.json
validation_synthetic_graphs.json
release_eval_synthetic_graphs.json
manifest.json
checksums.txt
curation_log.jsonl
Splits
train.jsonl: 8,000 examplesvalidation.jsonl: 1,200 examplesrelease_eval.jsonl: 1,800 examplesplanner_only_open_literal_copying_augmentation.jsonl: 90 targeted planner augmentation examples
The router and planner did not use every file in the same way. The DeBERTa
router was fine-tuned on the 8,000-example training split. The 1,200-example
validation split was kept separate for model selection and threshold
calibration: the runtime does not always take the highest-scoring router class,
but applies calibrated local and refuse thresholds so uncertain questions
fall back to the hosted path. release_eval.jsonl was kept separate as a
held-out release evaluation split.
The 90-row planner-only augmentation was added after the DeBERTa router was already fine-tuned. It was not used to retrain the router. It exists because the Qwen planner needed a small amount of targeted extra supervision for open literal-copying behavior, and rerunning the router fine-tune was unnecessary.
The synthetic graph files provide companion graph contexts for the corresponding
splits. checksums.txt, manifest.json, and curation_log.jsonl are included
so the release can be audited.
Router Threshold Calibration
The DeBERTa router outputs scores for three labels: local, api_fallback, and
refuse. The runtime does not simply choose the highest-scoring label. Instead,
it applies a calibrated policy:
if local score >= local threshold:
route to the local Qwen planner
elif refuse score >= refuse threshold:
refuse the question
else:
fall back to the hosted path
The thresholds were computed on the 1,200-example validation split after router
fine-tuning. First, the trained router scored the validation questions. Then
temperature scaling was fitted on the validation logits to calibrate the output
probabilities. The local threshold was chosen first by searching validation
scores for the cutoff that reached the target local precision while preserving
as much recall as possible. After applying that local gate, the refuse
threshold was chosen on the remaining validation examples with the same
precision-first logic.
In the final bundle, the target precision constraints were 97% for local and
95% for refuse. Questions that do not pass either threshold are routed to
api_fallback.
Format
Rows are JSONL objects. Important fields include:
question: the user-facing natural-language questionsupervision_target: the main training target used by the export scriptsroute_label: the router labelgold_cypher,gold_params,gold_rows: reference artifacts for evaluation and inspectionmetadata: provenance and curation metadata
Training code should consume supervision_target, because it makes
local_safe, strong_model_candidate, and refuse explicit in the serialized
target.
Intended Use
Use this dataset to reproduce or extend the Business Model KG query router and planner training workflow. It is also useful for inspecting what kinds of questions the local runtime is expected to answer.
Limitations
The dataset is specialized for the ontology, Cypher contract, and runtime constraints of Business Model KG. It should not be treated as a general-purpose question-answering dataset. Some fields are designed for internal validation and may not transfer cleanly to other graph schemas.
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