Triple

T5795824
Position Surface form Disambiguated ID Type / Status
Subject ISO/IEC JTC 1/SC 2 E128505 entity
Predicate responsibleForStandard P636 FINISHED
Object Universal Coded Character Set E25964 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: Universal Coded Character Set | Statement: [ISO/IEC JTC 1/SC 2, responsibleForStandard, Universal Coded Character Set]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Universal Coded Character Set
Context triple: [ISO/IEC JTC 1/SC 2, responsibleForStandard, Universal Coded Character Set]
  • A. ISO/IEC 10646 chosen
    ISO/IEC 10646 is an international standard that defines the Universal Coded Character Set (UCS), a comprehensive repertoire of characters used worldwide and closely aligned with the Unicode Standard.
  • B. 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.
  • 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 1.0
    Unicode 1.0 was the first published version of the Unicode standard, establishing a unified character encoding system that laid the foundation for modern multilingual text representation in computing.
  • E. 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.
  • 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_69c00845ca68819081a2ce3ecca577f7 completed March 22, 2026, 3:18 p.m.
NER Named-entity recognition batch_69c02a9304b081909ea004902f4ca569 completed March 22, 2026, 5:44 p.m.
NED1 Entity disambiguation (via context triple) batch_69c0982ce0ac8190b9f12cedb66c5eb3 completed March 23, 2026, 1:32 a.m.
Created at: March 22, 2026, 3:51 p.m.