Triple

T18564601
Position Surface form Disambiguated ID Type / Status
Subject RFC 3490 E453730 entity
Predicate uses P98 FINISHED
Object Punycode 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: Punycode | Statement: [RFC 3490, uses, Punycode]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Punycode
Context triple: [RFC 3490, uses, Punycode]
  • A. Punycode chosen
    Punycode is a standardized encoding system that represents Unicode characters using only ASCII characters, enabling internationalized domain names to be used within the traditional DNS infrastructure.
  • B. Base 61
    Base 61 is a unit within China’s People’s Liberation Army Strategic Support Force, likely involved in specialized missions related to space, cyber, electronic, or information warfare.
  • C. Unicode
    Unicode is a universal character encoding standard that assigns unique code points to virtually all written scripts, symbols, and emojis used in modern computing.
  • D. 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.
  • 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.