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

# Entities supported for the country gl

The following entities are supported for the country gl (Greenland)

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. | Holbøllsvej 8, PO 189 3900 Nuuk, GREENLAND Inuitgade 1, 3900 NUUK apartment 3, Inuitgade 1, 3900 NUUK
address/city/context | A city or town, with context. | Byen: Nuuk
address/city/landmark | A city or town landmark. | Byen
address/city/nocontext | A city or town, without context. | Nuuk
address/country/context | A country, with context. | Land: Grønland
address/country/landmark | A country landmark. | Land
address/country/nocontext | A country, without context. | Grønland
address/landmark | A postal address landmark. | adresse
address/postcode/context | A postal code, with context. | Postkode: 3980
address/postcode/landmark | A postal code landmark. | Postkode
address/postcode/nocontext | A postal code, without context. | 3980
address/streetlocation/context | A street location (house number and street name), with context. | adresse: Inuitgade 1 adresse: PO 189 adresse: apartment 3, Inuitgade 1
address/streetlocation/landmark | A street location landmark. | adresse
address/streetlocation/nocontext | A street location (house number and street name), without context. | Inuitgade 1 PO 189 apartment 3, Inuitgade 1
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: GL89 647 101 234 567 89 IBAN: GL8964710123456789
banking/iban/nocontext | An International Bank Account Number (IBAN), without context. | GL89 647 101 234 567 89 GL8964710123456789
banking/swiftcode/context | A SWIFT/BIC code, with context. | SWIFT code: XXXXGL00BBB
banking/swiftcode/nocontext | A SWIFT/BIC code, without context. | XXXXGL00BBB
id/context | A national identity number with context. For information about the supported ID numbers, see Supported National ID Numbers. | CPR: 061093-7438
id/landmark | A national identity number landmark.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. | CPR
id/nocontext | A national identity number without context. For information about the supported ID numbers, see Supported National ID Numbers.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. | 061093-7438
postcode/context | A postal code with context. | Postkode: 3980
postcode/landmark | A postal code landmark. | Postkode
postcode/nocontext | A postal code without context. | 3980
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 +12012224344.3 To ensure that this entity performs correctly, set your TangibleCharacters configuration to include the following characters: ()+-. For more information, see Configure Tangible Characters. | Telefon: +299 348380
telephone/landmark | A telephone number landmark. For the telephone_cjkvt grammar, landmarks are available only in CJKVT native script. | Telefon
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 +12042439955.4 To ensure that this entity performs correctly, set your TangibleCharacters configuration to include the following characters: ()+-. For more information, see Configure Tangible Characters. | +299 348380
tin/context | A tax identification number with context. For more examples, see Example Tax Identification Numbers.5 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. | CPR: 061093-7438
tin/landmark | A tax identification number landmark. | CPR
tin/nocontext | A tax identification number without context. For more examples, see Example Tax Identification Numbers.6 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. | 061093-7438

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 gl