Triple

T18563511
Position Surface form Disambiguated ID Type / Status
Subject Unicode Technical Reports E453704 entity
Predicate hasPart P35 FINISHED
Object Unicode Technical Note
A Unicode Technical Note is an informative document published by the Unicode Consortium that provides guidance, explanations, or best practices related to the use and implementation of the Unicode Standard.
E1331007 NE FINISHED

How this triple was built (4 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 Note | Statement: [Unicode Technical Reports, hasPart, Unicode Technical Note]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Unicode Technical Note
Context triple: [Unicode Technical Reports, hasPart, Unicode Technical Note]
  • A. Unicode Technical Reports
    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 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.
  • C. 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.
  • 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. 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 Technical Note
Triple: [Unicode Technical Reports, hasPart, Unicode Technical Note]
Generated description
A Unicode Technical Note is an informative document published by the Unicode Consortium that provides guidance, explanations, or best practices related to the use and implementation of the Unicode Standard.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Unicode Technical Note
Target entity description: A Unicode Technical Note is an informative document published by the Unicode Consortium that provides guidance, explanations, or best practices related to the use and implementation of the Unicode Standard.
  • A. Unicode Technical Reports
    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 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.
  • C. 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.
  • 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. chosen

Provenance (5 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.
NED1 Entity disambiguation (via context triple) batch_6a049ae7faa48190954e42f20eeebbf0 completed May 13, 2026, 3:38 p.m.
NEDg Description generation batch_6a049c461c288190955ac8cdaefc055d completed May 13, 2026, 3:44 p.m.
NED2 Entity disambiguation (via description) batch_6a049cbbc0288190be82f11e660b7dff completed May 13, 2026, 3:46 p.m.
Created at: April 10, 2026, 11:42 a.m.