Triple

T18564590
Position Surface form Disambiguated ID Type / Status
Subject RFC 3490 E453730 entity
Predicate shortName P43 FINISHED
Object IDNA 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: IDNA | Statement: [RFC 3490, shortName, IDNA]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: IDNA
Context triple: [RFC 3490, shortName, IDNA]
  • A. Norid
    Norid is the Norwegian registry responsible for administering the country’s .no top-level internet domain.
  • B. 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.
  • C. SIDN
    SIDN is the Dutch foundation responsible for managing and maintaining the .nl country-code top-level domain on the internet.
  • D. IANA
    IANA (Internet Assigned Numbers Authority) is the global organization responsible for coordinating key elements of the Internet’s infrastructure, including IP address allocation, DNS root zone management, and protocol parameter assignments.
  • E. IDN ccTLD Fast Track
    IDN ccTLD Fast Track is an ICANN initiative that enables countries and territories to obtain and deploy internationalized country-code top-level domains in non-Latin scripts more quickly than through the standard application process.
  • 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.