Triple

T3442273
Position Surface form Disambiguated ID Type / Status
Subject Kven language E72591 entity
Predicate hasDialect P4251 FINISHED
Object Porsanger Kven
Porsanger Kven is a regional variety of the Kven language traditionally spoken by the Kven minority in the Porsanger area of northern Norway.
 E357079 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: Porsanger Kven | Statement: [Kven language, hasDialect, Porsanger Kven]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Porsanger Kven
Context triple: [Kven language, hasDialect, Porsanger Kven]
  • A. Inga of Varteig
    Inga of Varteig was a Norwegian woman known primarily as the mother of King Haakon IV of Norway, whose contested paternity and rise to the throne were central to the Norwegian civil wars.
  • B. Fløya
    Fløya is a Norwegian women's football club based in Tromsø that competes in the country's league system.
  • C. Finnsnes
    Finnsnes is a small coastal town in northern Norway that serves as a commercial and transport hub for the island municipality of Senja.
  • D. Fosnavåg
    Fosnavåg is a small coastal town in western Norway known for its maritime industries and scenic North Sea surroundings.
  • E. Svaneke
    Svaneke is a picturesque coastal town on the Danish island of Bornholm, known for its well-preserved half-timbered houses, harbor, and traditional smokehouses.
  • 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: Porsanger Kven
Triple: [Kven language, hasDialect, Porsanger Kven]
Generated description
Porsanger Kven is a regional variety of the Kven language traditionally spoken by the Kven minority in the Porsanger area of northern Norway.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Porsanger Kven
Target entity description: Porsanger Kven is a regional variety of the Kven language traditionally spoken by the Kven minority in the Porsanger area of northern Norway.
  • A. Inga of Varteig
    Inga of Varteig was a Norwegian woman known primarily as the mother of King Haakon IV of Norway, whose contested paternity and rise to the throne were central to the Norwegian civil wars.
  • B. Fløya
    Fløya is a Norwegian women's football club based in Tromsø that competes in the country's league system.
  • C. Finnsnes
    Finnsnes is a small coastal town in northern Norway that serves as a commercial and transport hub for the island municipality of Senja.
  • D. Fosnavåg
    Fosnavåg is a small coastal town in western Norway known for its maritime industries and scenic North Sea surroundings.
  • E. Svaneke
    Svaneke is a picturesque coastal town on the Danish island of Bornholm, known for its well-preserved half-timbered houses, harbor, and traditional smokehouses.
  • 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_69ad85b05c848190b7a28ceec2bd7b74 completed March 8, 2026, 2:20 p.m.
NER Named-entity recognition batch_69adba28ec448190a6a07c5f16235fe3 completed March 8, 2026, 6:04 p.m.
NED1 Entity disambiguation (via context triple) batch_69b35486f7a08190885e98bb89e74f15 completed March 13, 2026, 12:04 a.m.
NEDg Description generation batch_69b35547a9a881909d754625806cff2a completed March 13, 2026, 12:07 a.m.
NED2 Entity disambiguation (via description) batch_69b355efa89c8190bf9b2eb3c41257b3 completed March 13, 2026, 12:10 a.m.
Created at: March 8, 2026, 3:16 p.m.