Triple

T18564419
Position Surface form Disambiguated ID Type / Status
Subject Duployan block E453725 entity
Predicate documentedIn P309 FINISHED
Object Unicode Standard Annexes NE NERFINISHED

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 Standard Annexes | Statement: [Duployan block, documentedIn, Unicode Standard Annexes]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Unicode Standard Annexes
Context triple: [Duployan block, documentedIn, Unicode Standard Annexes]
  • A. Unicode Standard Annexes chosen
    Unicode Standard Annexes are supplementary technical reports that define detailed specifications, algorithms, and guidelines extending and clarifying the core Unicode Standard.
  • B. Unicode Standard Annex #38
    Unicode Standard Annex #38 is a technical report that defines the Unicode Han Database (Unihan), specifying data fields and properties for East Asian ideographs used in the Unicode Standard.
  • C. Unicode Standard
    The Unicode Standard is a universal character encoding system that assigns unique code points to text and symbols from virtually all writing systems, enabling consistent digital representation and interchange of text worldwide.
  • D. The Unicode Standard
    The Unicode Standard is a universal character encoding system that assigns unique code points to text and symbols from virtually all writing systems, enabling consistent digital representation and interchange of written language worldwide.
  • 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 (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_69d8d38974308190a9174430ef256b73 completed April 10, 2026, 10:40 a.m.
NER Named-entity recognition batch_69e53afd8114819093b57d86f8213311 completed April 19, 2026, 8:28 p.m.
Created at: April 10, 2026, 11:42 a.m.