Triple

T6885921
Position Surface form Disambiguated ID Type / Status
Subject Unicode Technical Standard #35 E158917 entity
Predicate defines P264 FINISHED
Object Locale Data Markup Language
Locale Data Markup Language (LDML) is an XML-based standard for representing locale-specific data such as date, time, number, and language formats used in internationalization and localization.
E625237 NE FINISHED

How this triple was built (4 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: Locale Data Markup Language | Statement: [Unicode Technical Standard #35, defines, Locale Data Markup Language]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Locale Data Markup Language
Context triple: [Unicode Technical Standard #35, defines, Locale Data Markup Language]
  • A. 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.
  • B. SSH Language Tags
    SSH Language Tags are standardized identifiers used within the SSH protocol to specify human languages for messages and data, enabling proper localization and internationalization.
  • C. ISO 15924
    ISO 15924 is an international standard that assigns four-letter codes to the world’s writing systems and scripts for use in information processing and interchange.
  • D. CLDR Technical Committee
    The CLDR Technical Committee is the Unicode Consortium group responsible for developing and maintaining the Common Locale Data Repository, the standard source of locale data used in internationalization and localization.
  • E. Content-Language
    Content-Language is an HTTP header field that indicates the natural language(s) intended for the audience of the enclosed content.
  • 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: Locale Data Markup Language
Triple: [Unicode Technical Standard #35, defines, Locale Data Markup Language]
Generated description
Locale Data Markup Language (LDML) is an XML-based standard for representing locale-specific data such as date, time, number, and language formats used in internationalization and localization.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Locale Data Markup Language
Target entity description: Locale Data Markup Language (LDML) is an XML-based standard for representing locale-specific data such as date, time, number, and language formats used in internationalization and localization.
  • A. 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.
  • B. SSH Language Tags
    SSH Language Tags are standardized identifiers used within the SSH protocol to specify human languages for messages and data, enabling proper localization and internationalization.
  • C. ISO 15924
    ISO 15924 is an international standard that assigns four-letter codes to the world’s writing systems and scripts for use in information processing and interchange.
  • D. CLDR Technical Committee
    The CLDR Technical Committee is the Unicode Consortium group responsible for developing and maintaining the Common Locale Data Repository, the standard source of locale data used in internationalization and localization.
  • E. Content-Language
    Content-Language is an HTTP header field that indicates the natural language(s) intended for the audience of the enclosed content.
  • F. None of above. chosen

Provenance (5 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_69c688342f6c8190ad7eea6ba262db99 completed March 27, 2026, 1:37 p.m.
NER Named-entity recognition batch_69c6d90bc32c8190baf5bf785146f3e8 completed March 27, 2026, 7:22 p.m.
NED1 Entity disambiguation (via context triple) batch_69c742dc8d608190b2a8e9c1f46e1420 completed March 28, 2026, 2:54 a.m.
NEDg Description generation batch_69c743b2bcb881908341bce7a90e16c3 completed March 28, 2026, 2:57 a.m.
NED2 Entity disambiguation (via description) batch_69c7444e57a881908808a4bd96505048 completed March 28, 2026, 3 a.m.
Created at: March 27, 2026, 2:23 p.m.