Triple

T16263151
Position Surface form Disambiguated ID Type / Status
Subject Landsmål E394805 entity
Predicate hasAlternativeName P39 FINISHED
Object Aasen Norwegian
Aasen Norwegian is an early standardized form of the Norwegian language created by linguist Ivar Aasen, which later developed into the official written variety known as Nynorsk.
 E1204153 NE FINISHED

How this triple was built (4 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: Aasen Norwegian | Statement: [Landsmål, hasAlternativeName, Aasen Norwegian]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Aasen Norwegian
Context triple: [Landsmål, hasAlternativeName, Aasen Norwegian]
  • A. Austre Bokn
    Austre Bokn is an island in Rogaland county in southwestern Norway, situated within the Boknafjorden and known for its coastal landscape and small rural communities.
  • B. Åsgreina
    Åsgreina is a small village in Nannestad Municipality in Viken county, Norway.
  • C. Finnås
    Finnås is a village and former church-centered parish on the island municipality of Bømlo in Vestland county, Norway.
  • D. Årnes
    Årnes is a small Norwegian town situated along the Glomma River, known as a local administrative and commercial center in Nes municipality in Viken county.
  • E. Sæbø
    Sæbø is a small Norwegian village known for its scenic location amid steep mountains and fjord landscapes in western Norway.
  • F. None of above. chosen
  • G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg Description generation gpt-5.1
Instruction
Generate a one-sentence description of the target entity. 
You are given a context triple in the form (subject, predicate, object), where the object is the target entity. 
# Instructions
Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. 
Avoid repeating the information from the triple, unless really essential.
# Response Format
Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: Aasen Norwegian
Triple: [Landsmål, hasAlternativeName, Aasen Norwegian]
Generated description
Aasen Norwegian is an early standardized form of the Norwegian language created by linguist Ivar Aasen, which later developed into the official written variety known as Nynorsk.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Aasen Norwegian
Target entity description: Aasen Norwegian is an early standardized form of the Norwegian language created by linguist Ivar Aasen, which later developed into the official written variety known as Nynorsk.
  • A. Austre Bokn
    Austre Bokn is an island in Rogaland county in southwestern Norway, situated within the Boknafjorden and known for its coastal landscape and small rural communities.
  • B. Åsgreina
    Åsgreina is a small village in Nannestad Municipality in Viken county, Norway.
  • C. Finnås
    Finnås is a village and former church-centered parish on the island municipality of Bømlo in Vestland county, Norway.
  • D. Årnes
    Årnes is a small Norwegian town situated along the Glomma River, known as a local administrative and commercial center in Nes municipality in Viken county.
  • E. Sæbø
    Sæbø is a small Norwegian village known for its scenic location amid steep mountains and fjord landscapes in western Norway.
  • 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_69d87f221d8081909b0b2063e7528ba2 completed April 10, 2026, 4:40 a.m.
NER Named-entity recognition batch_69e245c5583c8190901e892238cf8dbd completed April 17, 2026, 2:37 p.m.
NED1 Entity disambiguation (via context triple) batch_6a0017b5f3a8819083128cf2b90cfd84 completed May 10, 2026, 5:29 a.m.
NEDg Description generation batch_6a001978fed48190963b327da30c31f0 completed May 10, 2026, 5:36 a.m.
NED2 Entity disambiguation (via description) batch_6a001a0def548190a1d800f858f3cb02 completed May 10, 2026, 5:39 a.m.
Created at: April 10, 2026, 5:04 a.m.