Triple

T18563510
Position Surface form Disambiguated ID Type / Status
Subject Unicode Technical Reports E453704 entity
Predicate hasPart P35 FINISHED
Object Unicode Technical Report — 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 Technical Report | Statement: [Unicode Technical Reports, hasPart, Unicode Technical Report]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Unicode Technical Report
Context triple: [Unicode Technical Reports, hasPart, Unicode Technical Report]
  • A. Unicode Technical Reports chosen
    Unicode Technical Reports are supplementary documents published by the Unicode Consortium that provide detailed guidance, algorithms, and clarifications on specific aspects of Unicode beyond what is covered in the core specification.
  • 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 Technical Standards
    Unicode Technical Standards are a collection of specifications that define how text and related data are consistently encoded, represented, and processed across different platforms and languages in the Unicode ecosystem.
  • 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 (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_69e53afc57448190abd90167d7e12a18 completed April 19, 2026, 8:28 p.m.
Created at: April 10, 2026, 11:42 a.m.