Triple

T5098168
Position Surface form Disambiguated ID Type / Status
Subject Fosen E114916 entity
Predicate contains P35 FINISHED
Object Åfjord
Åfjord is a coastal municipality in Trøndelag county, Norway, known for its fjords, fishing, and scenic rural landscapes.
 E496945 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: Åfjord | Statement: [Fosen, contains, Åfjord]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Åfjord
Context triple: [Fosen, contains, Åfjord]
  • A. Nusfjord
    Nusfjord is a historic fishing village in Norway’s Lofoten archipelago, known for its well-preserved wooden rorbuer cabins and scenic coastal setting.
  • B. Sigerfjord
    Sigerfjord is a small coastal village in northern Norway, situated on the island of Hinnøya in the Vesterålen region.
  • C. Kvæfjord
    Kvæfjord is a coastal municipality in Troms og Finnmark county in northern Norway, known for its scenic fjord landscapes and as the birthplace of the traditional cake "Kvæfjordkake."
  • D. Fosnavåg
    Fosnavåg is a small coastal town in western Norway known for its maritime industries and scenic North Sea surroundings.
  • E. Sørkjosen
    Sørkjosen is a small coastal village in Northern Norway known as a gateway to the Reisa valley and Reisa National Park.
  • 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: Åfjord
Triple: [Fosen, contains, Åfjord]
Generated description
Åfjord is a coastal municipality in Trøndelag county, Norway, known for its fjords, fishing, and scenic rural landscapes.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Åfjord
Target entity description: Åfjord is a coastal municipality in Trøndelag county, Norway, known for its fjords, fishing, and scenic rural landscapes.
  • A. Nusfjord
    Nusfjord is a historic fishing village in Norway’s Lofoten archipelago, known for its well-preserved wooden rorbuer cabins and scenic coastal setting.
  • B. Sigerfjord
    Sigerfjord is a small coastal village in northern Norway, situated on the island of Hinnøya in the Vesterålen region.
  • C. Kvæfjord
    Kvæfjord is a coastal municipality in Troms og Finnmark county in northern Norway, known for its scenic fjord landscapes and as the birthplace of the traditional cake "Kvæfjordkake."
  • D. Fosnavåg
    Fosnavåg is a small coastal town in western Norway known for its maritime industries and scenic North Sea surroundings.
  • E. Sørkjosen
    Sørkjosen is a small coastal village in Northern Norway known as a gateway to the Reisa valley and Reisa National Park.
  • 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_69bd443fc49c819089629c00e311310c completed March 20, 2026, 12:57 p.m.
NER Named-entity recognition batch_69bd7567d21081909227ed8f08b74c71 completed March 20, 2026, 4:27 p.m.
NED1 Entity disambiguation (via context triple) batch_69becfc467008190ae704139f21edae2 completed March 21, 2026, 5:05 p.m.
NEDg Description generation batch_69bed02a4a40819084f541cd4631b3a5 completed March 21, 2026, 5:06 p.m.
NED2 Entity disambiguation (via description) batch_69bed07e59948190830c6444e1f3560e completed March 21, 2026, 5:08 p.m.
Created at: March 20, 2026, 1:40 p.m.