Triple

T786413
Position Surface form Disambiguated ID Type / Status
Subject .no E16812 entity
Predicate languageOfPolicies P187 FINISHED
Object Norwegian E4355 NE FINISHED

How this triple was built (3 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: Norwegian | Statement: [.no, languageOfPolicies, Norwegian]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Norwegian
Context triple: [.no, languageOfPolicies, Norwegian]
  • A. Bokmål
    Bokmål is the most widely used written standard of the Norwegian language, employed in government, education, media, and everyday communication.
  • B. Norwegian language chosen
    Norwegian is a North Germanic language spoken primarily in Norway, closely related to Danish and Swedish and featuring two official written standards, Bokmål and Nynorsk.
  • C. Nynorsk
    Nynorsk is one of the two official written standards of the Norwegian language, based primarily on rural and western Norwegian dialects.
  • D. Norwegians
    Norwegians are a North Germanic ethnic group native to Norway, known for their Viking heritage, seafaring traditions, and strong social welfare society.
  • E. Riksmål
    Riksmål is a traditional, conservative written standard of Norwegian closely aligned with Danish and used primarily by language purists and certain cultural institutions.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: languageOfPolicies
Context triple: [.no, languageOfPolicies, Norwegian]
  • A. languageOfOfficialAnnouncements
    Indicates the language used for formal or official public announcements issued by an authority.
  • B. hasOfficialLanguagePolicy chosen
    Indicates that there exists a formally adopted rule or set of rules governing the use, status, or regulation of one or more languages within a given context or jurisdiction.
  • C. languageOfRecords
    Indicates the language in which the records are written or maintained.
  • D. languageProvision
    Indicates that one entity supplies, supports, or makes available a particular language (or set of languages) for use by another entity.
  • E. governingPolicy
    Indicates that one entity serves as the authoritative policy or set of rules that directs, constrains, or regulates the behavior, operation, or decisions of another entity.
  • F. None of above.

Provenance (4 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_69a4936cb7448190914f5fe4b8d81607 completed March 1, 2026, 7:28 p.m.
NER Named-entity recognition batch_69a4a77fcc6881908a025bb21e44ad56 completed March 1, 2026, 8:54 p.m.
NED1 Entity disambiguation (via context triple) batch_69a67efd612481909580fbef3605dcbc completed March 3, 2026, 6:26 a.m.
PD Predicate disambiguation batch_69a4a50db97c8190a1c55673f4a357b4 completed March 1, 2026, 8:43 p.m.
Created at: March 1, 2026, 7:38 p.m.