Triple

T14951637
Position Surface form Disambiguated ID Type / Status
Subject Fjaler E372807 entity
Predicate region P40 FINISHED
Object Sunnfjord
Sunnfjord is a district in Vestland county in Western Norway, known for its fjords, valleys, and traditional rural communities.
 E1182211 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: Sunnfjord | Statement: [Fjaler, region, Sunnfjord]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Sunnfjord
Context triple: [Fjaler, region, Sunnfjord]
  • A. Flekkefjord
    Flekkefjord is a coastal town in southern Norway known for its historic wooden architecture, maritime heritage, and picturesque fjord setting.
  • B. Sifjord
    Sifjord is a small coastal village in northern Norway, situated on the island of Senja within Troms og Finnmark county.
  • C. Freifjord
    Freifjord is a fjord in western Norway known for its scenic coastal landscape and proximity to historic sites such as Kvernes Church.
  • D. Nusfjord
    Nusfjord is a historic fishing village in Norway’s Lofoten archipelago, known for its well-preserved wooden rorbuer cabins and scenic coastal setting.
  • E. 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.
  • 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: Sunnfjord
Triple: [Fjaler, region, Sunnfjord]
Generated description
Sunnfjord is a district in Vestland county in Western Norway, known for its fjords, valleys, and traditional rural communities.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Sunnfjord
Target entity description: Sunnfjord is a district in Vestland county in Western Norway, known for its fjords, valleys, and traditional rural communities.
  • A. Flekkefjord
    Flekkefjord is a coastal town in southern Norway known for its historic wooden architecture, maritime heritage, and picturesque fjord setting.
  • B. Sifjord
    Sifjord is a small coastal village in northern Norway, situated on the island of Senja within Troms og Finnmark county.
  • C. Freifjord
    Freifjord is a fjord in western Norway known for its scenic coastal landscape and proximity to historic sites such as Kvernes Church.
  • D. Nusfjord
    Nusfjord is a historic fishing village in Norway’s Lofoten archipelago, known for its well-preserved wooden rorbuer cabins and scenic coastal setting.
  • E. 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.
  • 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_69d85cca979481908747d2a81eba1cea completed April 10, 2026, 2:13 a.m.
NER Named-entity recognition batch_69ded690f2e08190ad9dad6dc05a164a completed April 15, 2026, 12:06 a.m.
NED1 Entity disambiguation (via context triple) batch_69ffb02f505c81908e3982b67456e81c completed May 9, 2026, 10:07 p.m.
NEDg Description generation batch_69ffb0be9fa88190ab691c4c1d845ea9 completed May 9, 2026, 10:10 p.m.
NED2 Entity disambiguation (via description) batch_69ffb12f3e4c8190be983f00ae1d5160 completed May 9, 2026, 10:11 p.m.
Created at: April 10, 2026, 2:39 a.m.