Triple

T5634077
Position Surface form Disambiguated ID Type / Status
Subject Default Unicode Collation Element Table E147902 entity
Predicate partOf P40 FINISHED
Object Unicode Common Locale Data Repository collation data model E128504 NE FINISHED

How this triple was built (2 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: Unicode Common Locale Data Repository collation data model | Statement: [Default Unicode Collation Element Table, partOf, Unicode Common Locale Data Repository collation data model]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Unicode Common Locale Data Repository collation data model
Context triple: [Default Unicode Collation Element Table, partOf, Unicode Common Locale Data Repository collation data model]
  • A. Default Unicode Collation Element Table
    The Default Unicode Collation Element Table is the standard reference data used by the Unicode Collation Algorithm to define the default sorting and comparison order for all Unicode characters.
  • B. Unicode CLDR chosen
    Unicode CLDR is a standardized, collaboratively maintained repository of locale data that underpins internationalization and localization features in software and digital platforms worldwide.
  • C. 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.
  • D. Unicode Technical Standard #10
    Unicode Technical Standard #10 is the specification that defines the Unicode Collation Algorithm, providing a standardized method for comparing and sorting Unicode text across languages and platforms.
  • 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.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (3 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_69c00907bc8881909ed760d3ed73ef35 completed March 22, 2026, 3:21 p.m.
NER Named-entity recognition batch_69c0226118548190877793dadf6cacba completed March 22, 2026, 5:09 p.m.
NED1 Entity disambiguation (via context triple) batch_69c107b36b3c819084d7e8fda4de74b7 completed March 23, 2026, 9:28 a.m.
Created at: March 22, 2026, 3:41 p.m.