phatcher/companyblocker

Company registers in one schema, with name variants and cross-register links

Six public company sources mapped into one column set, with the name variants each register publishes and the GLEIF rows that carry a link into a national register. Built for blocking and record linkage.

It holds:

• 884,070 Wikidata companies, extracted from the 145 GB entity dump by the P279 subclass closure beneath company.
• Six registers on one column set, 28.7M companies in total.
• 8.1M name variants, as each register publishes them.
• 645,437 GLEIF rows carrying a link into a national register.

What is here

Source	Rows	Names	Jurisdictions	Snapshot
fr, INSEE SIRENE	12,930,798	1,397,729	fr	2026-06-01
gb, Companies House	5,698,275	645,313	gb	2026-06-01
offeneregister, German Handelsregister	5,305,727	1,346,089	de	2026-08-25
gleif, Global LEI index	3,076,432	3,638,577	308	2026-06-21
wikidata	884,070	1,054,902	73	2026-07-16
ie, CRO Ireland	817,761	—	ie	2026-06-21

Each source is the publisher's own bulk file, taken once on the date given.

Layout

data/canonical/<source>/primary/jurisdiction_code=<code>/part-*.parquet   one row per company
data/canonical/<source>/names/*.parquet                                   other names for those companies
data/canonical/<source>/sample.{parquet,jsonl,csv}                        ~16k rows, the same rows in three formats
data/canonical/<source>/*-duplicates-*.parquet                            rows dropped as duplicates, kept for inspection
data/matched/gleif/primary/jurisdiction_code=<code>/part-*.parquet        GLEIF rows carrying a national-register link
data/prepare/wikidata/wikidata-companies.jsonl                            the companies drawn out of the Wikidata dump

In the CSV the two list columns, alternative_names and previous_names, are joined with |; the JSON Lines copy keeps them as lists.

The Wikidata extract

wikidata-companies.jsonl is the raw extract: 884,070 entities in 612 MB, one JSON object per entity as the dump holds it, before any mapping. It was taken from the full 145 GB entity dump in a single pass.

An entity is kept when its P31 (instance of) or P1454 (legal form) names a Q-code in the P279 subclass closure beneath company, 49,176 codes. Everything under data/canonical/wikidata/ is built from this file, which also carries the fields the canonical schema does not keep.

primary is partitioned by jurisdiction_code, so one country can be read without the rest:

import polars as pl

gb = pl.read_parquet("data/canonical/gb/primary/jurisdiction_code=gb/*.parquet")
names = pl.read_parquet("data/canonical/gb/names/*.parquet")

Columns

A company (primary, 21 columns)

Column names follow the OpenCorporates company object where one fits.

Column	Description
system_uri	This row's identity, <source>://<id>, e.g. gb://03909510
jurisdiction_code	Where the company is registered
company_number	The register's own identifier for it
name	Its legal name
alternative_names, previous_names	Other names, where the register gives them inline
company_type	Legal form, as the register words it
current_status, inactive	Whether it is live, as the register words it
incorporation_date, dissolution_date	ISO dates where parsed
branch, branch_status	Whether the row is a branch rather than a company
registered_address_in_full	The address as one string, where published
registry_url	Its page in the register
lei	Legal Entity Identifier, where one resolves
match_uri	The same company in another source, where one is known
opencorporates_url, vat, tax_id	Reserved, always null
metadata_generated_utc	When this row was written here

A name (names, 9 columns)

One row per name a company is also known by.

Column	Description
system_uri	This name's own identity, name://<source>/<id>/<hash>
source_uri	The company it belongs to
name	The name itself
name_type	What kind: previous, alias, official, short, acronym, ...
source_type	What the register called that kind, before it was mapped
language_code, jurisdiction_code, id, derivation_note	Where it came from

A cross-register link (data/matched/gleif)

The same 21 columns, holding the 645,437 GLEIF rows whose match_uri points at a company in gb, ie, fr or de.

How it was built

Each source's bulk file was downloaded, split into shards, and mapped into the columns above, with per-source rules for the parts that differ: how a company number is spelled, which field is the legal name, which value means dissolved. Duplicate rows were removed and kept separately rather than dropped silently. Names were gathered from whichever field each register publishes them in and given one shared vocabulary of name types.

Names are as the registers publish them: not normalised, lowercased or stripped of their legal form.

Known gaps

• ie has no names file. Ireland's bulk download publishes one name per company, so there are no variants to collect.
• wikidata rows with no jurisdiction sit in a __HIVE_DEFAULT_PARTITION__ partition.
• Every source is one snapshot, taken on the date in the table. Companies registered, renamed or dissolved since are not here.
• match_uri is only as complete as GLEIF is. A company with no LEI has no link, so absence of a link is not evidence that no match exists.

Licensing information

Each source keeps its own terms. What each publisher states, in its own words, with the page it says it on. Those pages are the terms; this table points at them.

Source	Licence, as the publisher states it	Stated on
fr	Licence Ouverte / Open Licence 2.0	data.gouv.fr
gb	"All content is available under the Open Government Licence v3.0, except where otherwise stated"	Companies House data products
offeneregister	"Die Daten können unter der Creative Commons Attribution License 4.0 mit Attribution an OpenCorporates weiterverwendet werden"	offeneregister.de
gleif	"The data available through the Access Service are provided under the CC0 licence"	LEI data terms of use
wikidata	"All structured data from the main, Property, Lexeme, and EntitySchema namespace is available under the Creative Commons CC0 License"	Wikidata:Database download
ie	Creative Commons Attribution 4.0	CRO open data

Two publishers ask for attribution in particular words:

• German data: attribution to OpenCorporates.
• Irish data: "Contains Irish Public Sector Data licensed under a Creative Commons Attribution 4.0 International (CC BY 4.0) licence".

The license field at the top of this card is the repository's own metadata field and restates none of the above. Statements read from those pages on 2026-09-23; publishers change their terms, so the pages are the current source.

What is in the rows

These are public company registers, so the rows carry what registers carry: company names, registered addresses, and legal forms.

French sole traders are not among them. SIRENE's legal category 1000, Entrepreneur individuel, is a natural person rather than a company, and those rows are dropped when the French source is mapped into this schema: no row under fr carries that category.