Triple

T2793056
Position Surface form Disambiguated ID Type / Status
Subject GNU gettext E61971 entity
Predicate includesLibrary P1393 FINISHED
Object libintl
libintl is the core internationalization library from the GNU gettext system that provides runtime support for translating program messages into different languages.
E299219 NE FINISHED

How this triple was built (5 steps)

Every LLM step that produced this triple, in pipeline order — named-entity classification, the disambiguation choices (the exact options shown, with the pick highlighted), and the generated description. The batch + timestamp of each is in the Provenance table below.

NER Named-entity recognition gpt-5-mini
Instruction
Given a phrase, classify it is english named entity (e.g., persons, organizations, works of art) in Latin script, or not (e.g., literals, dates, URLs, verbose phrases). For disambiguation, the statement where the phrase occurs as object is also given. Please return a JSON object with `phrase` (string, the phrase being analyzed) and `is_ne` (boolean, indicating whether the phrase is a Named Entity).
Input
Phrase: libintl | Statement: [GNU gettext, includesLibrary, libintl]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: libintl
Context triple: [GNU gettext, includesLibrary, libintl]
  • A. GNU gettext
    GNU gettext is a widely used GNU internationalization and localization framework that provides tools and libraries for translating the text of software programs into different languages.
  • B. Unicode ICU
    Unicode ICU (International Components for Unicode) is a widely used open-source library that provides robust, cross-platform support for Unicode text handling, internationalization, and localization in software applications.
  • C. Unicode CLDR
    Unicode CLDR is a standardized, collaboratively maintained repository of locale data that underpins internationalization and localization features in software and digital platforms worldwide.
  • D. Unicode Consortium
    The Unicode Consortium is a non-profit organization that standardizes the representation of text and symbols in digital systems worldwide through the Unicode Standard.
  • E. Unicode Technical Standard #35
    Unicode Technical Standard #35 is a Unicode Consortium specification that defines the Locale Data Markup Language (LDML) and related mechanisms for internationalization, including formatting of dates, times, numbers, and other locale-sensitive data.
  • F. None of above. chosen
  • G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg Description generation gpt-5.1
Instruction
Generate a one-sentence description of the target entity. 
You are given a context triple in the form (subject, predicate, object), where the object is the target entity. 
# Instructions
Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. 
Avoid repeating the information from the triple, unless really essential.
# Response Format
Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: libintl
Triple: [GNU gettext, includesLibrary, libintl]
Generated description
libintl is the core internationalization library from the GNU gettext system that provides runtime support for translating program messages into different languages.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: libintl
Target entity description: libintl is the core internationalization library from the GNU gettext system that provides runtime support for translating program messages into different languages.
  • A. GNU gettext
    GNU gettext is a widely used GNU internationalization and localization framework that provides tools and libraries for translating the text of software programs into different languages.
  • B. Unicode ICU
    Unicode ICU (International Components for Unicode) is a widely used open-source library that provides robust, cross-platform support for Unicode text handling, internationalization, and localization in software applications.
  • C. Unicode CLDR
    Unicode CLDR is a standardized, collaboratively maintained repository of locale data that underpins internationalization and localization features in software and digital platforms worldwide.
  • D. Unicode Consortium
    The Unicode Consortium is a non-profit organization that standardizes the representation of text and symbols in digital systems worldwide through the Unicode Standard.
  • E. Unicode Technical Standard #35
    Unicode Technical Standard #35 is a Unicode Consortium specification that defines the Locale Data Markup Language (LDML) and related mechanisms for internationalization, including formatting of dates, times, numbers, and other locale-sensitive data.
  • F. None of above. chosen
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: includesLibrary
Context triple: [GNU gettext, includesLibrary, libintl]
  • A. isMainLibraryOf
    Indicates that a library serves as the primary or central library for a given organization, system, or collection.
  • B. includesStandard
    Indicates that one entity contains, incorporates, or makes use of a particular standard as part of its definition, implementation, or specification.
  • C. includes chosen
    Indicates that one entity contains, encompasses, or has another entity as a part, member, or subset.
  • D. hasOfficialLibrary
    Indicates that an entity possesses or is served by a formally recognized, authorized library.
  • E. sharesLibrariesWith
    Indicates that two entities use or depend on at least one of the same libraries or library components.
  • F. None of above.

Provenance (6 batches)

The batch behind each pipeline step, in order, with when it ran. Timestamps are batch-level — stages were processed in waves, so the object chain (NER → NED1 → NEDg → NED2) reads in order, but predicate / elicitation batches can sit in a different wave.

Step Stage Batch ID Status When
creating Elicitation batch_69ab4b7f51d881908768300ebd2fbdae completed March 6, 2026, 9:47 p.m.
NER Named-entity recognition batch_69abdeea881481908d759c72798a50fb completed March 7, 2026, 8:16 a.m.
NED1 Entity disambiguation (via context triple) batch_69afc65ebe788190859012e930918b05 completed March 10, 2026, 7:21 a.m.
NEDg Description generation batch_69afc6c6c620819098b76db174a6f98e completed March 10, 2026, 7:22 a.m.
NED2 Entity disambiguation (via description) batch_69afc72b2e3c8190aad78ac8924f07af completed March 10, 2026, 7:24 a.m.
PD Predicate disambiguation batch_69abdd025c948190a97dd961a9592bac completed March 7, 2026, 8:08 a.m.
Created at: March 6, 2026, 9:58 p.m.