Triple

T13275865
Position Surface form Disambiguated ID Type / Status
Subject ISO 259 E316186 entity
Predicate category P87 FINISHED
Object ISO standards for transliteration
ISO standards for transliteration are internationally recognized systems that define how to systematically convert text from various writing systems into Latin characters to ensure consistency and interoperability across languages and applications.
E1031753 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: ISO standards for transliteration | Statement: [ISO 259, category, ISO standards for transliteration]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: ISO standards for transliteration
Context triple: [ISO 259, category, ISO standards for transliteration]
  • A. ISO 15924
    ISO 15924 is an international standard that assigns four-letter codes to the world’s writing systems and scripts for use in information processing and interchange.
  • B. 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.
  • 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. 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.
  • 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: ISO standards for transliteration
Triple: [ISO 259, category, ISO standards for transliteration]
Generated description
ISO standards for transliteration are internationally recognized systems that define how to systematically convert text from various writing systems into Latin characters to ensure consistency and interoperability across languages and applications.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: ISO standards for transliteration
Target entity description: ISO standards for transliteration are internationally recognized systems that define how to systematically convert text from various writing systems into Latin characters to ensure consistency and interoperability across languages and applications.
  • A. ISO 15924
    ISO 15924 is an international standard that assigns four-letter codes to the world’s writing systems and scripts for use in information processing and interchange.
  • B. 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.
  • 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. 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.
  • 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_69d806b349908190a9a61dd9323bf153 completed April 9, 2026, 8:06 p.m.
NER Named-entity recognition batch_69d99042f56c819082440c89c0adc442 completed April 11, 2026, 12:05 a.m.
NED1 Entity disambiguation (via context triple) batch_69f70a54ff488190a759b46963c0d842 completed May 3, 2026, 8:41 a.m.
NEDg Description generation batch_69f713088cc48190b705336339527f46 completed May 3, 2026, 9:19 a.m.
NED2 Entity disambiguation (via description) batch_69f713bd94048190a61dbd955bd1c542 completed May 3, 2026, 9:22 a.m.
Created at: April 9, 2026, 9:26 p.m.