Named Entity Recognition Grammars Package 26.2
Named Entity Recognition Grammars User Guide

# Entities supported for the country br

The following entities are supported for the country br (Brazil)

entity | description | example
--- | --- | ---
address | A postal address. In general, a score of one is given to an address that includes a numbered, common format street address (for example "23 North Road"), a known city (for example "London"), and a postal code in a viable format for the country (for example "SW1A 2AA"). Deviations from this form lead to score penalties. The ordering of these elements varies by country. OpenText recommends that you use prefiltering to improve the performance for this grammar. See Configure Prefiltering. This entity returns the addresses in a normalized format by default. The normalized form standardizes apartment and house numbers, expands shortened forms of region names, removes additional punctuation, and converts the text to uppercase. For example "ABIDEI HURRIYET CD TANER PALAS APT 9, KAT:7, D:9, 34437 ISTANBUL". The exact order depends on the country. You can turn off normalization by setting normalize_addresses=false in the address_stoplist.lua script. This option can improve performance when you do not need normalization. | Avenida João Jorge,112,apto. 31,Campinas - SP,13035-680 Caixa Postal 443, Guarapuava – PR, 85100-970, BRAZIL R Mergenthaler, 41, Jardim Campo de Fora, PO Box 05311-030, São Paulo SHS Quadra 4 Bloco D, 70314-000, Brasília
address/city/context | A city or town, with context. | Cidade: Campinas
address/city/landmark | A city or town landmark. | Cidade
address/city/nocontext | A city or town, without context. | Campinas
address/country/context | A country, with context. | País: Brasil
address/country/landmark | A country landmark. | País
address/country/nocontext | A country, without context. | Brasil
address/landmark | A postal address landmark. | endereço postal
address/postcode/context | A postal code, with context. | CEP: 13010
address/postcode/landmark | A postal code landmark. | CEP
address/postcode/nocontext | A postal code, without context. | 13010
address/streetlocation/context | A street location (house number and street name), with context. | endereço postal: Avenida João Jorge, 112 endereço postal: Avenida João Jorge,112,apto. 31 endereço postal: Caixa Postal 443 endereço postal: SHS Quadra 4 Bloco D
address/streetlocation/landmark | A street location landmark. | endereço postal
address/streetlocation/nocontext | A street location (house number and street name), without context. | Avenida João Jorge, 112 Avenida João Jorge,112,apto. 31 Caixa Postal 443 SHS Quadra 4 Bloco D
banking/iban/context | An International Bank Account Number (IBAN), with context. The IBAN number can have spaces, hyphens (-), or periods (.) as delimiters between different components of the IBAN. | IBAN: BR15 000 000 000 000 109 328 408 14P 2 IBAN: BR1500000000000010932840814P2
banking/iban/nocontext | An International Bank Account Number (IBAN), without context. | BR15 000 000 000 000 109 328 408 14P 2 BR1500000000000010932840814P2
banking/swiftcode/context | A SWIFT/BIC code, with context. | SWIFT code: XXXXBR00BBB
banking/swiftcode/nocontext | A SWIFT/BIC code, without context. | XXXXBR00BBB
driving/context | A driving license number with context. This entity matches both the driving license number, and the personal number or driver number, if present. On the standard European driving license, these are fields 5 and 4d.1 By default, when there are multiple possible matches, post-processing returns only one country, which is the most efficient option. You can enable ambiguous entity matching by setting ambiguous_entities=true in the pii_postprocessing.lua script. This option returns multiple possible country matches. | permiso de conducción: 123456789
driving/landmark | A driving license landmark. | permiso de conducción
driving/nocontext | A driving license number, without context.2 By default, when there are multiple possible matches, post-processing returns only one country, which is the most efficient option. You can enable ambiguous entity matching by setting ambiguous_entities=true in the pii_postprocessing.lua script. This option returns multiple possible country matches. | 123456789
health/id/context | A Brazilian Cartão Nacional de Saúde (CNS, also known as SUS) number with context. | Cartão Nacional de Saúde: 190129759240018
health/id/landmark | A health number landmark. | Cartão Nacional de Saúde
health/id/nocontext | A health number, such as a British NHS number, French Carte Vitale number or Japanese Health Insurance Card number, without context. | 190129759240018
id/context | A national identity number with context. For information about the supported ID numbers, see Supported National ID Numbers. | CPF: 295.944.211-34 RG: 56.843.539-4 RIC: 1234567890-1
id/landmark | A national identity number landmark.3 By default, when there are multiple possible matches, post-processing returns only one country, which is the most efficient option. You can enable ambiguous entity matching by setting ambiguous_entities=true in the pii_postprocessing.lua script. This option returns multiple possible country matches. | CPF RG RIC
id/nocontext | A national identity number without context. For information about the supported ID numbers, see Supported National ID Numbers.4 By default, when there are multiple possible matches, post-processing returns only one country, which is the most efficient option. You can enable ambiguous entity matching by setting ambiguous_entities=true in the pii_postprocessing.lua script. This option returns multiple possible country matches. | 1234567890-1 295.944.211-34 56.843.539-4
internet/email/context | An email address, with context. | email: jsmith@mailserver.com
internet/email/landmark | An email address landmark. | email
internet/email/nocontext | An email address, without context. | jsmith@mailserver.com
name | A full personal name. Romanized names can be in title case or upper case, and can be in the order given name surname or surname given name. CJKVT native script names must be surname given name. For Japanese, either form can include honorifics.5 This entity returns the names in a normalized format, in the form GIVEN NAME SURNAME, for example JOHN SMITH. You can turn off normalization by setting normalize_names=false in the name_stoplist.lua script. You can also turn off score adjustment, by setting rescore_names=false in the name_stoplist.lua script. This option can improve performance when you do not need the normalization or score refinement. | Fabiola de Veron QC Monica Duarte Mr M. Duarte
name/given_name/context | A given name with context. For CJKVT the context landmark should be in CJKVT native script. | nomes cristãos: Monica
name/given_name/landmark | A given name landmark. For CJKVT it will be in native script. | nomes cristãos
name/given_name/nocontext | A given name, without context. | Monica
name/landmark | A full name landmark. | nome
name/post_title | A title that follows a name. | QC
name/pre_title | A title that precedes a name. | Mr
name/surname/context | A surname with context. For CJKVT the landmark will be in native script | sombrenome: Duarte
name/surname/landmark | A surname landmark. | sombrenome
name/surname/nocontext | A surname without context. | Duarte
name/title_surname | A title and surname. | Dr Duarte Mr de Duarte
nationality/adj/context | A nationality adjective with context. | nacionalidade: Brasileiro
nationality/adj/landmark | A nationality adjective landmark. | nacionalidade
nationality/adj/nocontext | A nationality adjective without context. | Brasileiro
nationality/any/context | Any combination of nationality adjective and noun landmark and value. | nacionalidade: Brasileiro
nationality/any/landmark | Any nationality adjective or landmark. | nacionalidade
nationality/any/nocontext | Any nationality adjective or noun. | Brasileiro
nationality/noun/context | A nationality noun with context. | PAÍS: Brasil
nationality/noun/landmark | A nationality noun landmark. | PAÍS
nationality/noun/nocontext | A nationality noun without context. | Brasil
passport/context | A passport number with context. | número do passaporte: FH254787
passport/landmark | A passport landmark. For information about cases where the landmark and passport number do not match or have an ambiguous match, see Ambiguous Entities. | número do passaporte
passport/nocontext | A passport number without context. | FH254787
postcode/context | A postal code with context. | CEP: 13010
postcode/landmark | A postal code landmark. | CEP
postcode/nocontext | A postal code without context. | 13010
telephone/context | A telephone number with context. For the telephone_cjkvt grammar, numbers can be ASCII or full-width numbers. This entity returns the telephone number in the normalized format +NNNNN, starting with the country code. For example +12012224344.6 To ensure that this entity performs correctly, set your TangibleCharacters configuration to include the following characters: ()+-. For more information, see Configure Tangible Characters. | TELEFONE: +55 11 2345 5678
telephone/landmark | A telephone number landmark. For the telephone_cjkvt grammar, landmarks are available only in CJKVT native script. | TELEFONE
telephone/nocontext | A telephone number without context. For the telephone_cjkvt grammar, numbers can be ASCII or full-width numbers. This entity returns the telephone number in the normalized format +NNNNN, starting with the country code. For example +12042439955.7 To ensure that this entity performs correctly, set your TangibleCharacters configuration to include the following characters: ()+-. For more information, see Configure Tangible Characters. | +55 11 2345 5678
tin/context | A tax identification number with context. For more examples, see Example Tax Identification Numbers.8 By default, when there are multiple possible matches, post-processing returns only one country, which is the most efficient option. You can enable ambiguous entity matching by setting ambiguous_entities=true in the pii_postprocessing.lua script. This option returns multiple possible country matches. | CNPJ: 90.386.859/0002-54 CPF: 29594421134
tin/landmark | A tax identification number landmark. | CNPJ CPF
tin/nocontext | A tax identification number without context. For more examples, see Example Tax Identification Numbers.9 By default, when there are multiple possible matches, post-processing returns only one country, which is the most efficient option. You can enable ambiguous entity matching by setting ambiguous_entities=true in the pii_postprocessing.lua script. This option returns multiple possible country matches. | 29594421134 90.386.859/0002-54
tin/vatin/context | A VAT identification number with context. | CNPJ: 90.386.859/0002-54 CPF: 488.081.131-91
tin/vatin/landmark | A VAT identification number landmark. | CNPJ CPF
tin/vatin/nocontext | A VAT identification number without context. | 488.081.131-91 90.386.859/0002-54

In the tables, ✔️ indicates that the item is always used, and ❌ that the item is never used. The ✓ symbol indicates that the item is only used for some entities (that is, for some but not all countries or languages). For details, refer to the relevant entity page.

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Version 26.2 | Last updated April 2026

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Product: Named Entity Recognition Grammars Package 26.2

Topic Title: Entities supported for the country br