Triple

T18113052
Position Surface form Disambiguated ID Type / Status
Subject Nord-Fron E433529 entity
Predicate contains P35 FINISHED
Object Skåbu
Skåbu is a mountain village in Innlandet county, Norway, known as one of the highest permanently inhabited settlements in the country.
 E1308974 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: Skåbu | Statement: [Nord-Fron, contains, Skåbu]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Skåbu
Context triple: [Nord-Fron, contains, Skåbu]
  • A. Solør
    Solør is a traditional district in Eastern Norway known for its rural landscapes, forestry, and agriculture.
  • B. Sollefteå
    Sollefteå is a small town in northern Sweden known for its scenic location along the Ångerman River and its surrounding forests and hills.
  • C. Skjåk
    Skjåk is a rural municipality in Innlandet county, Norway, known for its mountainous landscapes, national parks, and dry inland climate.
  • D. Bøstad
    Bøstad is a small village in the Lofoten archipelago of Nordland county, Norway, known for its scenic coastal landscape and proximity to Viking-era historical sites.
  • E. Kvænangen
    Kvænangen is a fjord in northern Norway known for its dramatic coastal scenery, rich marine life, and traditional fishing communities.
  • 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: Skåbu
Triple: [Nord-Fron, contains, Skåbu]
Generated description
Skåbu is a mountain village in Innlandet county, Norway, known as one of the highest permanently inhabited settlements in the country.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Skåbu
Target entity description: Skåbu is a mountain village in Innlandet county, Norway, known as one of the highest permanently inhabited settlements in the country.
  • A. Solør
    Solør is a traditional district in Eastern Norway known for its rural landscapes, forestry, and agriculture.
  • B. Sollefteå
    Sollefteå is a small town in northern Sweden known for its scenic location along the Ångerman River and its surrounding forests and hills.
  • C. Skjåk
    Skjåk is a rural municipality in Innlandet county, Norway, known for its mountainous landscapes, national parks, and dry inland climate.
  • D. Bøstad
    Bøstad is a small village in the Lofoten archipelago of Nordland county, Norway, known for its scenic coastal landscape and proximity to Viking-era historical sites.
  • E. Kvænangen
    Kvænangen is a fjord in northern Norway known for its dramatic coastal scenery, rich marine life, and traditional fishing communities.
  • 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_69d8b90916008190a1f110bd7ced5473 completed April 10, 2026, 8:47 a.m.
NER Named-entity recognition batch_69e4ddd3fd9c81909bfe95927f7553e3 completed April 19, 2026, 1:51 p.m.
NED1 Entity disambiguation (via context triple) batch_6a03853dfaf081908775a259728c458e completed May 12, 2026, 7:53 p.m.
NEDg Description generation batch_6a038a1bb75c81908211dfb2d938a9bd completed May 12, 2026, 8:14 p.m.
NED2 Entity disambiguation (via description) batch_6a038a81f0148190864adc746d251b75 completed May 12, 2026, 8:16 p.m.
Created at: April 10, 2026, 10:28 a.m.