Triple

T20797829
Position Surface form Disambiguated ID Type / Status
Subject Unicode Standard version 6.0 E511957 entity
Predicate defines P264 FINISHED
Object Unicode blocks — NE NERFINISHED

How this triple was built (3 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 blocks | Statement: [Unicode Standard version 6.0, defines, Unicode blocks]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Unicode blocks
Context triple: [Unicode Standard version 6.0, defines, Unicode blocks]
  • A. Unicode Basic Latin block
    The Unicode Basic Latin block is the foundational set of 128 characters in Unicode that corresponds to the standard ASCII repertoire, including basic letters, digits, and common punctuation used in English and many other languages.
  • B. Unicode Cyrillic block
    The Unicode Cyrillic block is a range of code points in the Unicode Standard that encodes Cyrillic script characters used by numerous languages across Eastern Europe and Central Asia.
  • C. 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.
  • 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. Myanmar Unicode block
    The Myanmar Unicode block is a range of Unicode code points that encodes characters used for writing the Burmese language and several related scripts of Myanmar, including Karen.
  • F. None of above. chosen
  • G. Unsure - the case is ambiguous/there is not enough information to decide.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Unicode blocks
Target entity description: Unicode blocks are contiguous ranges of code points in the Unicode Standard that group together related characters, such as scripts, symbols, and punctuation, for organized encoding and reference.
  • A. Unicode Basic Latin block
    The Unicode Basic Latin block is the foundational set of 128 characters in Unicode that corresponds to the standard ASCII repertoire, including basic letters, digits, and common punctuation used in English and many other languages.
  • B. Unicode Cyrillic block
    The Unicode Cyrillic block is a range of code points in the Unicode Standard that encodes Cyrillic script characters used by numerous languages across Eastern Europe and Central Asia.
  • C. 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.
  • 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. Myanmar Unicode block
    The Myanmar Unicode block is a range of Unicode code points that encodes characters used for writing the Burmese language and several related scripts of Myanmar, including Karen.
  • F. None of above. chosen

Provenance (2 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_69e0b4cc69f481908e98751e697b9df4 completed April 16, 2026, 10:07 a.m.
NER Named-entity recognition batch_69e6c2ae2c4c819087f620df31dc1aba completed April 21, 2026, 12:19 a.m.
Created at: April 16, 2026, 12:39 p.m.