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

# Entities supported for the country in

The following entities are supported for the country in (India)

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. | 17, 3rd Cross Street, Ahmedabad, 400021 26, AKSHAYA COMPLEX, VICTORIA ROAD, AUSTIN TOWN, BENGALURU 26, VICTORIA ROAD, THALI VILLAGE, BENGALURU, 110000 26, VICTORIA ROAD, WEST THANE, BENGALURU, 110000 2nd Floor, JK Bank Building, Hari Singh High Street, Srinagar - 190001, Jammu & Kashmir, INDIA 3 Central Railway Colony, P.O. Ajni, Nagpur-440003 80, Sector-30, Noida-201301 P.O. Box 281, Ludhiana, Punjab - 141001 Rajendra Nagar, Near Macdowell Glomber, Patna--800016
address/city/context | A city or town, with context. | city: Bengaluru
address/city/landmark | A city or town landmark. | city
address/city/nocontext | A city or town, without context. | Bengaluru
address/country/context | A country, with context. | country: India
address/country/landmark | A country landmark. | country
address/country/nocontext | A country, without context. | India
address/landmark | A postal address landmark. | address
address/postcode/context | A postal code, with context. | PIN: 110000
address/postcode/landmark | A postal code landmark. | PIN
address/postcode/nocontext | A postal code, without context. | 110000
address/streetlocation/context | A street location (house number and street name), with context. | address: 17, 3rd Cross Street address: 26, AKSHAYA COMPLEX, VICTORIA ROAD address: 2nd Floor, JK Bank Building, Hari Singh High Street address: 3 Central Railway Colony, P.O. Ajni address: 80, Sector-30 address: P.O. Box 281 address: Rajendra Nagar, Near Macdowell Glomber
address/streetlocation/landmark | A street location landmark. | address
address/streetlocation/nocontext | A street location (house number and street name), without context. | 17, 3rd Cross Street 26, AKSHAYA COMPLEX, VICTORIA ROAD 2nd Floor, JK Bank Building, Hari Singh High Street 3 Central Railway Colony, P.O. Ajni 80, Sector-30 P.O. Box 281 Rajendra Nagar, Near Macdowell Glomber
banking/swiftcode/context | A SWIFT/BIC code, with context. | SWIFT code: XXXXIN00BBB
banking/swiftcode/nocontext | A SWIFT/BIC code, without context. | XXXXIN00BBB
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. | Driving Licence: AN-0119851124741
driving/landmark | A driving license landmark. | Driving Licence
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. | AN-0119851124741
id/context | A national identity number with context. For information about the supported ID numbers, see Supported National ID Numbers. | Permanent Account Number: EXQPK3420M आधार: 471871882819
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. | Permanent Account Number आधार
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. | 471871882819 EXQPK3420M
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. | Anita Mirdha Jr Mrs R. Singh Rajesh Singh
name/given_name/context | A given name with context. For CJKVT the context landmark should be in CJKVT native script. | Given name: Rajesh
name/given_name/landmark | A given name landmark. For CJKVT it will be in native script. | Given name
name/given_name/nocontext | A given name, without context. | Rajesh
name/landmark | A full name landmark. | Name
name/post_title | A title that follows a name. | Jr
name/pre_title | A title that precedes a name. | Mrs
name/surname/context | A surname with context. For CJKVT the landmark will be in native script | Surname: Singh
name/surname/landmark | A surname landmark. | Surname
name/surname/nocontext | A surname without context. | Singh
name/title_surname | A title and surname. | Dr Singh
nationality/adj/context | A nationality adjective with context. | nationality: Indian राष्ट्रीयता: भारतीय
nationality/adj/landmark | A nationality adjective landmark. | nationality राष्ट्रीयता
nationality/adj/nocontext | A nationality adjective without context. | Indian भारतीय
nationality/any/context | Any combination of nationality adjective and noun landmark and value. | देश: भारत गणराज्य
nationality/any/landmark | Any nationality adjective or landmark. | देश
nationality/any/nocontext | Any nationality adjective or noun. | भारत गणराज्य
nationality/noun/context | A nationality noun with context. | country: Republic of India देश: भारत
nationality/noun/landmark | A nationality noun landmark. | country देश
nationality/noun/nocontext | A nationality noun without context. | Republic of India भारत
passport/context | A passport number with context. | पासपोर्ट: A2096457
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. | पासपोर्ट
passport/nocontext | A passport number without context. | A2096457
postcode/context | A postal code with context. | PIN: 110000
postcode/landmark | A postal code landmark. | PIN
postcode/nocontext | A postal code without context. | 110000
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. | दूरभाष: +91 (33) 6620 9018
telephone/landmark | A telephone number landmark. For the telephone_cjkvt grammar, landmarks are available only in CJKVT native script. | दूरभाष
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. | +91 (33) 6620 9018
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. | PAN: EXQPK3420M UAN: 1234 5678 9012
tin/landmark | A tax identification number landmark. | PAN UAN
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. | 1234 5678 9012 EXQPK3420M
tin/vatin/context | A VAT identification number with context. | CST TIN: 29567129023C GSTIN: 27AAPFU0939F1ZV VAT TIN: 29567129023V
tin/vatin/landmark | A VAT identification number landmark. | CST TIN GSTIN VAT TIN
tin/vatin/nocontext | A VAT identification number without context. | 27AAPFU0939F1ZV 29567129023C 29567129023V
voter_id/context | A voter ID number with context. This entity is available only for GB, IN, and MX. | EPIC: YCV0164822
voter_id/landmark | A voter ID number landmark. This entity is available only for GB, IN, and MX. | EPIC
voter_id/nocontext | A voter ID number without context. This entity is available only for GB, IN, and MX. | YCV0164822

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 in