Triple

T13953921
Position Surface form Disambiguated ID Type / Status
Subject Jevnaker municipality E335604 entity
Predicate hasSettlement P1068 FINISHED
Object Sløvika
Sløvika is a small settlement located in Jevnaker municipality in southeastern Norway, known for its lakeside setting and natural surroundings.
E1090027 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: Sløvika | Statement: [Jevnaker municipality, hasSettlement, Sløvika]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Sløvika
Context triple: [Jevnaker municipality, hasSettlement, Sløvika]
  • A. 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.
  • B. Smøla
    Smøla is a coastal municipality and island in western Norway known for its flat, windswept landscape, fishing communities, and large wind farm.
  • C. Dragsvik
    Dragsvik is a Finnish military locality known for hosting a key coastal garrison of the Finnish Navy.
  • D. Gressvik
    Gressvik is a village in Fredrikstad Municipality in Viken county, Norway, located on the western side of the Glomma River.
  • E. Svelvik
    Svelvik is a small coastal town and former municipality in Vestfold og Telemark county, Norway, situated along the Drammensfjord.
  • 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: Sløvika
Triple: [Jevnaker municipality, hasSettlement, Sløvika]
Generated description
Sløvika is a small settlement located in Jevnaker municipality in southeastern Norway, known for its lakeside setting and natural surroundings.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Sløvika
Target entity description: Sløvika is a small settlement located in Jevnaker municipality in southeastern Norway, known for its lakeside setting and natural surroundings.
  • A. 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.
  • B. Smøla
    Smøla is a coastal municipality and island in western Norway known for its flat, windswept landscape, fishing communities, and large wind farm.
  • C. Dragsvik
    Dragsvik is a Finnish military locality known for hosting a key coastal garrison of the Finnish Navy.
  • D. Gressvik
    Gressvik is a village in Fredrikstad Municipality in Viken county, Norway, located on the western side of the Glomma River.
  • E. Svelvik
    Svelvik is a small coastal town and former municipality in Vestfold og Telemark county, Norway, situated along the Drammensfjord.
  • 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_69d81c6081b88190b53e317c3370c8fe completed April 9, 2026, 9:38 p.m.
NER Named-entity recognition batch_69de2e146720819085d0f5eae558b7a4 completed April 14, 2026, 12:07 p.m.
NED1 Entity disambiguation (via context triple) batch_69fd323e89948190bb280e93e2058c0a completed May 8, 2026, 12:45 a.m.
NEDg Description generation batch_69fd33d981408190b017164a04676f4c completed May 8, 2026, 12:52 a.m.
NED2 Entity disambiguation (via description) batch_69fd3437f90081908c325f0a36993f57 completed May 8, 2026, 12:54 a.m.
Created at: April 9, 2026, 10:17 p.m.