Triple

T2878367
Position Surface form Disambiguated ID Type / Status
Subject Aleksander E56933 entity
Predicate hasLanguageOfUse P207 FINISHED
Object Norwegian E4355 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: Norwegian | Statement: [Aleksander, hasLanguageOfUse, Norwegian]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Norwegian
Context triple: [Aleksander, hasLanguageOfUse, 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 (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.
  • C. 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.
  • D. Middle Norwegian
    Middle Norwegian is a historical North Germanic language stage spoken in Norway roughly between the late Middle Ages and the early modern period, bridging Old Norwegian and modern Norwegian.
  • E. Norwegian Wikinews
    Norwegian Wikinews is the Norwegian-language edition of the Wikinews project, a collaboratively written, free-content news source.
  • 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_69ab4a4ced288190ab6d3e062d10f7f6 completed March 6, 2026, 9:42 p.m.
NER Named-entity recognition batch_69abe008925c81909683d0ebc6227e5e completed March 7, 2026, 8:21 a.m.
NED1 Entity disambiguation (via context triple) batch_69b03158d0ec8190ba9675ece8f62033 completed March 10, 2026, 2:57 p.m.
Created at: March 6, 2026, 10:03 p.m.