Triple

T16708401
Position Surface form Disambiguated ID Type / Status
Subject Aurland Municipality E406031 entity
Predicate languageForm P6281 FINISHED
Object Nynorsk E92855 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: Nynorsk | Statement: [Aurland Municipality, languageForm, Nynorsk]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Nynorsk
Context triple: [Aurland Municipality, languageForm, Nynorsk]
  • A. Nynorsk chosen
    Nynorsk is one of the two official written standards of the Norwegian language, based primarily on rural and western Norwegian dialects.
  • B. 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.
  • 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. 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.
  • E. 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.
  • 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_69d8838db21081909589220fd71440a4 completed April 10, 2026, 4:58 a.m.
NER Named-entity recognition batch_69e38650c3808190a561f22b169dc3ae completed April 18, 2026, 1:25 p.m.
NED1 Entity disambiguation (via context triple) batch_6a0091a50eac81908af26a5131bf0a6c completed May 10, 2026, 2:09 p.m.
Created at: April 10, 2026, 5:20 a.m.