Triple

T228129
Position Surface form Disambiguated ID Type / Status
Subject Norwegian language E4355 entity
Predicate hasOfficialWrittenStandard P9326 FINISHED
Object Bokmål E29332 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: Bokmål | Statement: [Norwegian language, hasOfficialWrittenStandard, Bokmål]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Bokmål
Context triple: [Norwegian language, hasOfficialWrittenStandard, Bokmål]
  • A. Bokmål chosen
    Bokmål is the most widely used written standard of the Norwegian language, employed in government, education, media, and everyday communication.
  • B. Norwegian language
    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. Riksmål
    Riksmål is a traditional, conservative written standard of Norwegian closely aligned with Danish and used primarily by language purists and certain cultural institutions.
  • D. Danish language
    Danish is a North Germanic language spoken primarily in Denmark and parts of Greenland and the Faroe Islands, closely related to Norwegian and Swedish.
  • E. Norwegian Language Council
    The Norwegian Language Council is the official governmental body responsible for advising on and developing policies for the Norwegian language and its written standards.
  • 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: hasOfficialWrittenStandard
Context triple: [Norwegian language, hasOfficialWrittenStandard, Bokmål]
  • A. isPartOfStandard
    Indicates that something belongs to, is included within, or conforms to a defined standard or standardized set.
  • B. firstStandardApproved
    Indicates that an entity is the earliest or initial standard that has received formal approval.
  • C. usesStandard
    Indicates that one entity adopts, follows, or operates according to a specified standard defined by another entity or reference.
  • D. introducedInStandard
    Indicates that something (such as a concept, feature, or element) was first defined or formally specified in a particular standard.
  • E. hasStandardizationBody
    Indicates that an entity is associated with, governed by, or defined by a specific standards-setting organization or authority.
  • F. None of above. chosen

Provenance (5 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_69a257363ffc81909757bde7ab3404da completed Feb. 28, 2026, 2:47 a.m.
NER Named-entity recognition batch_69a25d10ac248190a98dedabf5358668 completed Feb. 28, 2026, 3:12 a.m.
NED1 Entity disambiguation (via context triple) batch_69a35ea326608190be39ec5260c3dac3 completed Feb. 28, 2026, 9:31 p.m.
PD Predicate disambiguation batch_69a25b5877588190af694d060377f027 completed Feb. 28, 2026, 3:04 a.m.
PDg Predicate description generation batch_69a25d0ec71081908478c800be4f7bb0 completed Feb. 28, 2026, 3:12 a.m.
Created at: Feb. 28, 2026, 2:53 a.m.