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See below for full records that I believe are duplicates. I think they should be collapsed into 085656393fffffff0187c3df66f7c927 which seems like it contains more complete data (and more accurate point geo data):
D select * from divisions where country = 'CA' and names.primary = 'Pelly Crossing' and subtype = 'county';
100% ▕████████████████████████████████████████████████████████████▏
id = 08565614bfffffff01d108e0c73d95b3
geometry = \x00\x00\x00\x00\x01\xC0a\x12\x92\xB3\x96\x9A\xE2@Oi\x0E\xB9\xD7&\xC3
bbox = {'xmin': -136.58041, 'xmax': -136.5804, 'ymin': 62.820755, 'ymax': 62.820763}
country = CA
version = 0
sources = [{'property': , 'dataset': OpenStreetMap, 'record_id': R11935437, 'update_time': NULL, 'confidence': NULL}]
subtype = county
class =
names = {'primary': Pelly Crossing, 'common': {en=Pelly Crossing}, 'rules': NULL}
wikidata =
division_ids =
is_disputed =
perspectives =
local_type = {en=county}
region = CA-YT
hierarchies = [[{'division_id': 085f1a177fffffff01487e61c3243082, 'subtype': country, 'name': Canada}, {'division_id': 085684d5bfffffff01e53fe452efaf76, 'subtype': region, 'name': Yukon}, {'division_id': 08565614bfffffff01d108e0c73d95b3, 'subtype': county, 'name': Pelly Crossing}]]
parent_division_id = 085684d5bfffffff01e53fe452efaf76
norms =
population =
capital_division_ids =
capital_of_divisions =
division_id =
theme = divisions
type = division
id = 085656393fffffff0187c3df66f7c927
geometry = \x00\x00\x00\x00\x01\xC0a\x12_\xD9\xBA\x1B\x19@OiQ\x96\xCB\x89\x00
bbox = {'xmin': -136.5742, 'xmax': -136.57419, 'ymin': 62.822796, 'ymax': 62.822803}
country = CA
version = 0
sources = [{'property': , 'dataset': OpenStreetMap, 'record_id': R9561046, 'update_time': NULL, 'confidence': NULL}, {'property': /properties/geometry, 'dataset': OpenStreetMap, 'record_id': N2682751746, 'update_time': NULL, 'confidence': NULL}]
subtype = county
class =
names = {'primary': Pelly Crossing, 'common': {en=Pelly Crossing}, 'rules': NULL}
wikidata = Q998348
division_ids =
is_disputed =
perspectives =
local_type = {en=county}
region = CA-YT
hierarchies = [[{'division_id': 085f1a177fffffff01487e61c3243082, 'subtype': country, 'name': Canada}, {'division_id': 085684d5bfffffff01e53fe452efaf76, 'subtype': region, 'name': Yukon}, {'division_id': 085656393fffffff0187c3df66f7c927, 'subtype': county, 'name': Pelly Crossing}]]
parent_division_id = 085684d5bfffffff01e53fe452efaf76
norms =
population =
capital_division_ids =
capital_of_divisions =
division_id =
theme = divisions
type = division
```
The text was updated successfully, but these errors were encountered:
See below for full records that I believe are duplicates. I think they should be collapsed into 085656393fffffff0187c3df66f7c927 which seems like it contains more complete data (and more accurate point geo data):
The text was updated successfully, but these errors were encountered: