Named Entity Recognition Grammars Package 26.3
Named Entity Recognition Grammars User Guide

# Entities supported for the country ru

The following entities are supported for the country ru (Russia)

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. | 109147, Москва, ул. Марксистская, д.22, стр.1 11 Ul. Lenina, Shchyolkovo, Shchyolkovsky District, Moscow Oblast, 141103, Russia 659300, Алтайский край, г. Бийск, пер. Коммунарский, д. 23 Abonentskiy yashchik 274, 606120, MOSCOW Stroiteley blvd. 4, Floor 6, block B, Krasnogorsk, 143402, Russia UL SAVUSHKINA D. 24, KV 88, ASTRAKHAN OBLAST, Russia, 414056
address/city/context | A city or town, with context. | город: Владикавказ
address/city/landmark | A city or town landmark. | город
address/city/nocontext | A known city or town, without context. | Владикавказ
address/city/speculative/nocontext | Any city or town, without context. | Азов
address/country/context | A country, with context. | страна: Россия
address/country/landmark | A country landmark. | страна
address/country/nocontext | A country, without context. | Россия
address/landmark | A postal address landmark. | Адрес
address/postcode/context | A postal code, with context. | почтовый индекс: 125075
address/postcode/landmark | A postal code landmark. | почтовый индекс
address/postcode/nocontext | A postal code, without context. | 125075
address/streetlocation/context | A street location (house number and street name), with context. | address: Abonentskiy yashchik 274 address: Stroiteley blvd. 4, Floor 6, block B address: UL SAVUSHKINA D. 24, KV 88 Адрес: пер. Коммунарский, д. 23 Адрес: ул. Марксистская, д.22, стр.1
address/streetlocation/landmark | A street location landmark. | address Адрес
address/streetlocation/nocontext | A street location (house number and street name), without context. | Abonentskiy yashchik 274 Stroiteley blvd. 4, Floor 6, block B UL SAVUSHKINA D. 24, KV 88 пер. Коммунарский, д. 23 ул. Марксистская, д.22, стр.1
banking/swiftcode/context | A SWIFT/BIC code, with context. | SWIFT code: XXXXRU00BBB
banking/swiftcode/nocontext | A SWIFT/BIC code, without context. | XXXXRU00BBB
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. | Водительское удостоверение: 02 41 456789
driving/landmark | A driving license landmark. | Водительское удостоверение
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. | 02 41 456789
id/context | A national identity number with context. For information about the supported ID numbers, see Supported National ID Numbers. | SNILS: 216-471-647-63 ИНН: 370300515589
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. | SNILS ИНН
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. | 216-471-647-63 370300515589
internet/email/context | An email address, with context. | электронная почта: jsmith@mailserver.com
internet/email/landmark | An email address landmark. | электронная почта
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. | Aigul Zyazeva Esq Mr D. Kolesnikova Mr А. Магомедов Анастасия Дмитриевна Смирнова
name/given_name/context | A given name with context. For CJKVT the context landmark should be in CJKVT native script. | имена: Светлана
name/given_name/landmark | A given name landmark. For CJKVT it will be in native script. | имена
name/given_name/nocontext | A given name, without context. | Светлана
name/landmark | A full name landmark. | имя
name/post_title | A title that follows a name. | Esq
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 | фамилия: Іванова
name/surname/landmark | A surname landmark. | фамилия
name/surname/nocontext | A surname without context. | Іванова
name/title_surname | A title and surname. | Dr Иванова
nationality/adj/context | A nationality adjective with context. | Natsional'nost': Russkiy национальность: Русский
nationality/adj/landmark | A nationality adjective landmark. | Natsional'nost' национальность
nationality/adj/nocontext | A nationality adjective without context. | Russkiy Русский
nationality/any/context | Any combination of nationality adjective and noun landmark and value. | национальность: Русский
nationality/any/landmark | Any nationality adjective or landmark. | национальность
nationality/any/nocontext | Any nationality adjective or noun. | Русский
nationality/noun/context | A nationality noun with context. | strana: Rossiya страна: Россия
nationality/noun/landmark | A nationality noun landmark. | strana страна
nationality/noun/nocontext | A nationality noun without context. | Rossiya Россия
passport/context | A passport number with context. | внутренний паспорт: 46 01 729721 паспорт нет: 90 3003640
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. | внутренний паспорт паспорт нет
passport/nocontext | A passport number without context. | 46 01 729721 90 3003640
postcode/context | A postal code with context. | почтовый индекс: 125075
postcode/landmark | A postal code landmark. | почтовый индекс
postcode/nocontext | A postal code without context. | 125075
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. | телефон: +7 387 123 9786
telephone/landmark | A telephone number landmark. For the telephone_cjkvt grammar, landmarks are available only in CJKVT native script. | телефон
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. | +7 387 123 9786
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. | INN: 253812007450
tin/landmark | A tax identification number landmark. | INN
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. | 216-471-647 63 253812007450
tin/vatin/context | A VAT identification number with context. | ИНН: 370-300-515-589 НДС: 1234567894
tin/vatin/landmark | A VAT identification number landmark. | ИНН НДС
tin/vatin/nocontext | A VAT identification number without context. | 1234567894 216-471-647 63 370-300-515-589

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.

Copyright 2026 Open Text
Version 26.3 | Last updated July 2026

Send documentation feedback

Close

Send documentation feedback

To send feedback using your default email client, open an email window.

Otherwise, send your feedback and the information below to MFI-swpdl.idoldocsfeedback@opentext.com.

We appreciate your feedback!

Product: Named Entity Recognition Grammars Package 26.3

Topic Title: Entities supported for the country ru