Triple

T18564559
Position Surface form Disambiguated ID Type / Status
Subject RFC 1642 E453729 entity
Predicate title P38 FINISHED
Object UTF-7: A Mail-Safe Transformation Format of Unicode — 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: UTF-7: A Mail-Safe Transformation Format of Unicode | Statement: [RFC 1642, title, UTF-7: A Mail-Safe Transformation Format of Unicode]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: UTF-7: A Mail-Safe Transformation Format of Unicode
Context triple: [RFC 1642, title, UTF-7: A Mail-Safe Transformation Format of Unicode]
  • A. UTF-7 chosen
    UTF-7 is an obsolete, 7-bit Unicode text encoding designed primarily for safe transmission of Unicode data over email systems that were not fully 8-bit clean.
  • B. 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.
  • C. 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.
  • D. Text Encoding Initiative
    The Text Encoding Initiative is a widely adopted international standard and community for representing and encoding texts in digital form, especially in the humanities.
  • E. Lightweight Directory Access Protocol (LDAP): Internationalized String Preparation
    "Lightweight Directory Access Protocol (LDAP): Internationalized String Preparation" is an IETF specification (RFC 4518) that defines how to prepare and compare internationalized character strings used in LDAP directories to ensure consistent, interoperable matching.
  • 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.