Triple

T21718420
Position Surface form Disambiguated ID Type / Status
Subject Unicode 6.1 E536089 entity
Predicate hasTechnicalReport P5712 FINISHED
Object Unicode Standard Annex #29 (Text Segmentation, updated for 6.1)
Unicode Standard Annex #29 (Text Segmentation, updated for 6.1) is a technical specification that defines the rules and algorithms for determining grapheme, word, and sentence boundaries in Unicode text.
E127895 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 Standard Annex #29 (Text Segmentation, updated for 6.1) | Statement: [Unicode 6.1, hasTechnicalReport, Unicode Standard Annex #29 (Text Segmentation, updated for 6.1)]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Unicode Standard Annex #29 (Text Segmentation, updated for 6.1)
Context triple: [Unicode 6.1, hasTechnicalReport, Unicode Standard Annex #29 (Text Segmentation, updated for 6.1)]
  • A. Unicode Standard Annexes
    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 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.
  • 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. 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.
  • 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 Standard Annex #29 (Text Segmentation, updated for 6.1)
Triple: [Unicode 6.1, hasTechnicalReport, Unicode Standard Annex #29 (Text Segmentation, updated for 6.1)]
Generated description
Unicode Standard Annex #29 (Text Segmentation, updated for 6.1) is a technical specification that defines the rules and algorithms for determining grapheme, word, and sentence boundaries in Unicode text.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Unicode Standard Annex #29 (Text Segmentation, updated for 6.1)
Target entity description: Unicode Standard Annex #29 (Text Segmentation, updated for 6.1) is a technical specification that defines the rules and algorithms for determining grapheme, word, and sentence boundaries in Unicode text.
  • 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 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.
  • 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. 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.
  • F. None of above.

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_69e0c46c6dd88190a595375fa6ebd701 completed April 16, 2026, 11:13 a.m.
NER Named-entity recognition batch_69efd96cc58081908dda09819041b888 completed April 27, 2026, 9:47 p.m.
NED1 Entity disambiguation (via context triple) batch_6a0a24b5bb58819095b009a2b66487cb completed May 17, 2026, 8:27 p.m.
NEDg Description generation batch_6a0a270eedcc8190b04b3c6b662dc0db completed May 17, 2026, 8:37 p.m.
NED2 Entity disambiguation (via description) batch_6a0a27d9bb248190b65da5cb50c332ec completed May 17, 2026, 8:40 p.m.
Created at: April 16, 2026, 6:47 p.m.