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

# Entities supported for the country py

The following entities are supported for the country py (Paraguay)

entity | description | example
--- | --- | ---
banking/swiftcode/context | A SWIFT/BIC code, with context. | SWIFT code: XXXXPY00BBB
banking/swiftcode/nocontext | A SWIFT/BIC code, without context. | XXXXPY00BBB
id/context | A national identity number with context. For information about the supported ID numbers, see Supported National ID Numbers. | Numero de Cédula: 1409286
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. | Numero de Cédula
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. | 1409286
tin/context | A tax identification number with context. For more examples, see Example Tax Identification Numbers.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. | RUC: 786480-9
tin/landmark | A tax identification number landmark. | RUC
tin/nocontext | A tax identification number without context. For more examples, see Example Tax Identification 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. | 786480-9
tin/vatin/context | A VAT identification number with context. | RUC: 786480-9
tin/vatin/landmark | A VAT identification number landmark. | RUC
tin/vatin/nocontext | A VAT identification number without context. | 786480-9

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 py