Triple

T20817646
Position Surface form Disambiguated ID Type / Status
Subject Norwegian national identity card E512482 entity
Predicate languageOnDocument P31857 FINISHED
Object Norwegian NE NERFINISHED

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: [Norwegian national identity card, languageOnDocument, Norwegian]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Norwegian
Context triple: [Norwegian national identity card, languageOnDocument, Norwegian]
  • A. Bokmål
    Bokmål is the most widely used written standard of the Norwegian language, employed in government, education, media, and everyday communication.
  • B. New Norwegian
    New Norwegian is one of the two official written standards of the Norwegian language, developed in the 19th century from rural Norwegian dialects.
  • C. Norwegian Landsmål
    Norwegian Landsmål is a historical written standard of the Norwegian language that later developed into what is now known as Nynorsk.
  • D. Norwegian (administrative)
    Norwegian (administrative) is the official form of the Norwegian language used for government, legal, and bureaucratic purposes in certain territories such as Greenland and Svalbard.
  • E. 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.
  • 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: languageOnDocument
Context triple: [Norwegian national identity card, languageOnDocument, Norwegian]
  • A. languageOfDocumentation
    Indicates the language in which the documentation for an entity is written or provided.
  • B. languageOfManuscript
    Indicates the language in which a given manuscript is written.
  • C. languageSpecifies
    Indicates that one entity defines or constrains the syntax, semantics, or usage rules that govern how another language or linguistic system is expressed or interpreted.
  • D. contentLanguage chosen
    Indicates the language in which the content is expressed or intended to be understood.
  • E. languageCategory
    Indicates the classification relationship where a language is assigned to a particular linguistic or functional category.
  • F. None of above.

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_69e0b4cd25088190b48ca9700cd24efc completed April 16, 2026, 10:07 a.m.
NER Named-entity recognition batch_69e6c2f429388190809dd532278fe310 completed April 21, 2026, 12:21 a.m.
PD Predicate disambiguation batch_69e5c99ca55481908e8d434fa901cfd6 completed April 20, 2026, 6:37 a.m.
Created at: April 16, 2026, 12:41 p.m.