Triple

T569238
Position Surface form Disambiguated ID Type / Status
Subject Kawi script E13623 entity
Predicate UnicodeStandardVersionAdded P5655 FINISHED
Object Unicode 15.0
Unicode 15.0 is a version of the Unicode Standard that expanded the global character set with additional scripts, symbols, and emoji to improve digital text representation across diverse languages.
E71247 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: Unicode 15.0 | Statement: [Kawi script, UnicodeStandardVersionAdded, Unicode 15.0]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Unicode 15.0
Context triple: [Kawi script, UnicodeStandardVersionAdded, Unicode 15.0]
  • A. 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.
  • B. Unicode Technical Report #29
    Unicode Technical Report #29 is the specification that defines how to determine and segment user-perceived text elements (grapheme clusters), words, and sentences in Unicode text.
  • C. 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.
  • D. Unicode Character Database
    The Unicode Character Database is a comprehensive collection of machine-readable data files that define the properties, classifications, and behaviors of every character encoded in the Unicode Standard.
  • E. Unicode
    Unicode is a universal character encoding standard that assigns unique code points to virtually all written scripts, symbols, and emojis used in modern computing.
  • 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: Unicode 15.0
Triple: [Kawi script, UnicodeStandardVersionAdded, Unicode 15.0]
Generated description
Unicode 15.0 is a version of the Unicode Standard that expanded the global character set with additional scripts, symbols, and emoji to improve digital text representation across diverse languages.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Unicode 15.0
Target entity description: Unicode 15.0 is a version of the Unicode Standard that expanded the global character set with additional scripts, symbols, and emoji to improve digital text representation across diverse languages.
  • A. 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.
  • B. Unicode Technical Report #29
    Unicode Technical Report #29 is the specification that defines how to determine and segment user-perceived text elements (grapheme clusters), words, and sentences in Unicode text.
  • C. 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.
  • D. Unicode Character Database
    The Unicode Character Database is a comprehensive collection of machine-readable data files that define the properties, classifications, and behaviors of every character encoded in the Unicode Standard.
  • E. Unicode
    Unicode is a universal character encoding standard that assigns unique code points to virtually all written scripts, symbols, and emojis used in modern computing.
  • F. None of above. chosen
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: UnicodeStandardVersionAdded
Context triple: [Kawi script, UnicodeStandardVersionAdded, Unicode 15.0]
  • A. hasStandardOrthographySince
    Indicates that a language or writing system has used a particular standardized orthography starting from a specified point in time.
  • B. UnicodeBlock
    Indicates that a character belongs to a specific contiguous range of code points defined as a Unicode block.
  • C. introducedInStandard chosen
    Indicates that something (such as a concept, feature, or element) was first defined or formally specified in a particular standard.
  • D. hasUnicodeStatus
    Indicates that a given entity has a particular Unicode-related classification or status (such as assigned, reserved, deprecated, or noncharacter) within the Unicode standard.
  • E. hasStandardPronunciationBasedOn
    Indicates that one entity’s standard or canonical pronunciation is determined or derived from another entity’s pronunciation.
  • 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_69a4933fa4d88190a7949cc83c08c5c1 completed March 1, 2026, 7:27 p.m.
NER Named-entity recognition batch_69a49b0406d481908af5fc7bc67103fb completed March 1, 2026, 8:01 p.m.
NED1 Entity disambiguation (via context triple) batch_69a4efd263008190b82333be5812e6ab completed March 2, 2026, 2:02 a.m.
NEDg Description generation batch_69a4f03bd8188190af4f84bbd0144db5 completed March 2, 2026, 2:04 a.m.
NED2 Entity disambiguation (via description) batch_69a4fbc3837081909bfea4b632fb4787 completed March 2, 2026, 2:53 a.m.
PD Predicate disambiguation batch_69a494c2caac819086ab316fa49d324c completed March 1, 2026, 7:34 p.m.
Created at: March 1, 2026, 7:33 p.m.