Triple

T3882236
Position Surface form Disambiguated ID Type / Status
Subject Norid E92850 entity
Predicate abbreviation P43 FINISHED
Object Norid E92850 NE FINISHED

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: Norid | Statement: [Norid, abbreviation, Norid]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Norid
Context triple: [Norid, abbreviation, Norid]
  • A. Norid chosen
    Norid is the Norwegian registry responsible for administering the country’s .no top-level internet domain.
  • B. .nu
    .nu is the country code top-level domain (ccTLD) assigned to Niue, widely used internationally because "nu" resembles words meaning "now" or "new" in several languages.
  • C. Dienst der Domeinen
    Dienst der Domeinen was a former Dutch government agency responsible for managing and disposing of state-owned property and assets.
  • D. VeriSign
    VeriSign is an American technology company best known for operating key internet infrastructure, including managing the .com and .net top-level domains and providing critical DNS and security services.
  • E. GoDaddy
    GoDaddy is a major American internet domain registrar and web hosting company known for providing online presence and website services to individuals and businesses worldwide.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (3 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_69aed9697de0819087c2559295ff3d12 completed March 9, 2026, 2:30 p.m.
NER Named-entity recognition batch_69aeec8d5c1c8190906294177f3ad49e completed March 9, 2026, 3:51 p.m.
NED1 Entity disambiguation (via context triple) batch_69b51c8983b88190a716987f44487d56 completed March 14, 2026, 8:30 a.m.
Created at: March 9, 2026, 3:20 p.m.