Triple

T15663961
Position Surface form Disambiguated ID Type / Status
Subject Eidfjord E376637 entity
Predicate hasPart P35 FINISHED
Object Kjeåsen
Kjeåsen is a remote mountain farm in Norway, famed for its dramatic location high above the Simadalsfjord in Eidfjord.
 E1169852 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: Kjeåsen | Statement: [Eidfjord, hasPart, Kjeåsen]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Kjeåsen
Context triple: [Eidfjord, hasPart, Kjeåsen]
  • A. Byåsen
    Byåsen is a largely residential hillside district in Trondheim, Norway, known for its scenic views over the city and access to outdoor recreation areas.
  • B. Jordal
    Jordal is a neighborhood in Oslo, Norway, known for its sports facilities and ice hockey heritage.
  • C. Baljåsen
    Baljåsen is a hill in western Sweden known as the highest natural point in the historical province of Dalsland.
  • D. Ormåsen
    Ormåsen is a small residential village in Øvre Eiker municipality in Buskerud county, Norway.
  • E. Skutvik
    Skutvik is a small coastal village in Hamarøy Municipality in Nordland county, Norway, known as a ferry port linking the mainland with the Lofoten Islands.
  • 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: Kjeåsen
Triple: [Eidfjord, hasPart, Kjeåsen]
Generated description
Kjeåsen is a remote mountain farm in Norway, famed for its dramatic location high above the Simadalsfjord in Eidfjord.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Kjeåsen
Target entity description: Kjeåsen is a remote mountain farm in Norway, famed for its dramatic location high above the Simadalsfjord in Eidfjord.
  • A. Byåsen
    Byåsen is a largely residential hillside district in Trondheim, Norway, known for its scenic views over the city and access to outdoor recreation areas.
  • B. Jordal
    Jordal is a neighborhood in Oslo, Norway, known for its sports facilities and ice hockey heritage.
  • C. Baljåsen
    Baljåsen is a hill in western Sweden known as the highest natural point in the historical province of Dalsland.
  • D. Ormåsen
    Ormåsen is a small residential village in Øvre Eiker municipality in Buskerud county, Norway.
  • E. Skutvik
    Skutvik is a small coastal village in Hamarøy Municipality in Nordland county, Norway, known as a ferry port linking the mainland with the Lofoten Islands.
  • 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_69d85cd1564c8190991adda63bfab4b0 completed April 10, 2026, 2:13 a.m.
NER Named-entity recognition batch_69e04f0f4df08190ad2c5d78e435d8eb completed April 16, 2026, 2:53 a.m.
NED1 Entity disambiguation (via context triple) batch_69ff679ff4648190a2f05d6445fa59df completed May 9, 2026, 4:58 p.m.
NEDg Description generation batch_69ff68af38848190975e374b2c8c917b completed May 9, 2026, 5:02 p.m.
NED2 Entity disambiguation (via description) batch_69ff69660b6c819082dbdf06db1c8fe3 completed May 9, 2026, 5:05 p.m.
Created at: April 10, 2026, 4:16 a.m.