Triple

T15760452
Position Surface form Disambiguated ID Type / Status
Subject Lebesby E382081 entity
Predicate administrativeCentre P1474 FINISHED
Object Kjøllefjord
Kjøllefjord is a small coastal village in Troms og Finnmark county in northern Norway, known for its fishing industry and Arctic coastal landscape.
 E1531454 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: Kjøllefjord | Statement: [Lebesby, administrativeCentre, Kjøllefjord]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Kjøllefjord
Context triple: [Lebesby, administrativeCentre, Kjøllefjord]
  • A. Flekkefjord
    Flekkefjord is a coastal town in southern Norway known for its historic wooden architecture, maritime heritage, and picturesque fjord setting.
  • B. Sunnfjord
    Sunnfjord is a district in Vestland county in Western Norway, known for its fjords, valleys, and traditional rural communities.
  • C. Gullesfjord
    Gullesfjord is a small settlement in Kvæfjord Municipality in Troms og Finnmark county in northern Norway, situated near the fjord of the same name.
  • D. Ranfjorden
    Ranfjorden is a long, narrow fjord in Nordland county, Norway, known for its dramatic coastal landscape and the industrial town of Mo i Rana along its shores.
  • E. Freifjord
    Freifjord is a fjord in western Norway known for its scenic coastal landscape and proximity to historic sites such as Kvernes Church.
  • 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: Kjøllefjord
Triple: [Lebesby, administrativeCentre, Kjøllefjord]
Generated description
Kjøllefjord is a small coastal village in Troms og Finnmark county in northern Norway, known for its fishing industry and Arctic coastal landscape.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Kjøllefjord
Target entity description: Kjøllefjord is a small coastal village in Troms og Finnmark county in northern Norway, known for its fishing industry and Arctic coastal landscape.
  • A. Flekkefjord
    Flekkefjord is a coastal town in southern Norway known for its historic wooden architecture, maritime heritage, and picturesque fjord setting.
  • B. Sunnfjord
    Sunnfjord is a district in Vestland county in Western Norway, known for its fjords, valleys, and traditional rural communities.
  • C. Gullesfjord
    Gullesfjord is a small settlement in Kvæfjord Municipality in Troms og Finnmark county in northern Norway, situated near the fjord of the same name.
  • D. Ranfjorden
    Ranfjorden is a long, narrow fjord in Nordland county, Norway, known for its dramatic coastal landscape and the industrial town of Mo i Rana along its shores.
  • E. Freifjord
    Freifjord is a fjord in western Norway known for its scenic coastal landscape and proximity to historic sites such as Kvernes Church.
  • 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_69d86d9e6b44819085d1f6a969ecb74c completed April 10, 2026, 3:25 a.m.
NER Named-entity recognition batch_69e050b52c548190a0ffa4493a4eb15c completed April 16, 2026, 3 a.m.
NED1 Entity disambiguation (via context triple) batch_6a0ad50108b08190987795538b795d5c completed May 18, 2026, 8:59 a.m.
NEDg Description generation batch_6a0ad991a1e48190ad240a20694223fc completed May 18, 2026, 9:19 a.m.
NED2 Entity disambiguation (via description) batch_6a0ada2a61b881908a636b2d1d6e4509 completed May 18, 2026, 9:21 a.m.
Created at: April 10, 2026, 4:47 a.m.