Triple

T18113042
Position Surface form Disambiguated ID Type / Status
Subject Nord-Fron E433529 entity
Predicate administrativeCentre P1474 FINISHED
Object Kvam
Kvam is a village in Innlandet county, Norway, serving as the local hub for services and administration in the Nord-Fron municipality.
E1307299 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: Kvam | Statement: [Nord-Fron, administrativeCentre, Kvam]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Kvam
Context triple: [Nord-Fron, administrativeCentre, Kvam]
  • A. Kvam
    Kvam is a municipality in Vestland county, western Norway, known for its scenic location along the Hardangerfjord and traditional fruit farming.
  • B. Kvikne
    Kvikne is a rural village area in central Norway, known historically for mining and as the birthplace of Nobel Prize–winning writer Bjørnstjerne Bjørnson.
  • C. Jondal
    Jondal is a small village and former municipality in Vestland county, Norway, known as a gateway to the Folgefonna glacier and surrounding fjord landscape.
  • D. Kvænangen
    Kvænangen is a fjord in northern Norway known for its dramatic coastal scenery, rich marine life, and traditional fishing communities.
  • E. Laukvik
    Laukvik is a small coastal settlement located on the island of Rebbenesøya in northern 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: Kvam
Triple: [Nord-Fron, administrativeCentre, Kvam]
Generated description
Kvam is a village in Innlandet county, Norway, serving as the local hub for services and administration in the Nord-Fron municipality.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Kvam
Target entity description: Kvam is a village in Innlandet county, Norway, serving as the local hub for services and administration in the Nord-Fron municipality.
  • A. Kvam
    Kvam is a municipality in Vestland county, western Norway, known for its scenic location along the Hardangerfjord and traditional fruit farming.
  • B. Kvikne
    Kvikne is a rural village area in central Norway, known historically for mining and as the birthplace of Nobel Prize–winning writer Bjørnstjerne Bjørnson.
  • C. Jondal
    Jondal is a small village and former municipality in Vestland county, Norway, known as a gateway to the Folgefonna glacier and surrounding fjord landscape.
  • D. Kvænangen
    Kvænangen is a fjord in northern Norway known for its dramatic coastal scenery, rich marine life, and traditional fishing communities.
  • E. Laukvik
    Laukvik is a small coastal settlement located on the island of Rebbenesøya in northern 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_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_6a037c3b95b481909fe58450f007544e completed May 12, 2026, 7:15 p.m.
NEDg Description generation batch_6a037db328b08190b003da3980076ecf completed May 12, 2026, 7:21 p.m.
NED2 Entity disambiguation (via description) batch_6a037e99ae98819087afa088fb42e847 completed May 12, 2026, 7:25 p.m.
Created at: April 10, 2026, 10:28 a.m.