Triple

T17388915
Position Surface form Disambiguated ID Type / Status
Subject Etne Municipality E422763 entity
Predicate hasMountainArea P24755 FINISHED
Object Etnefjellet
Etnefjellet is a mountainous area in western Norway known for its rugged terrain, hiking opportunities, and scenic natural landscapes.
E1268396 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: Etnefjellet | Statement: [Etne Municipality, hasMountainArea, Etnefjellet]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Etnefjellet
Context triple: [Etne Municipality, hasMountainArea, Etnefjellet]
  • A. Heilefjellet
    Heilefjellet is a mountain located in the coastal municipality of Bremanger in Vestland county, western Norway.
  • B. Saltfjellet
    Saltfjellet is a large mountainous region in northern Norway known for its rugged peaks, extensive plateau, and the Saltfjellet–Svartisen National Park.
  • C. Hodnefjell
    Hodnefjell is an island that forms part of the Finnøy archipelago in Norway.
  • D. Filefjell
    Filefjell is a mountainous area and historic mountain pass in southern Norway, known as an important route between Eastern and Western Norway and a popular destination for hiking and winter sports.
  • E. Ramnefjellet
    Ramnefjellet is a mountain in Norway best known for the massive rockslides in the early 20th century that caused catastrophic tsunamis in the nearby lake Lovatnet.
  • 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: Etnefjellet
Triple: [Etne Municipality, hasMountainArea, Etnefjellet]
Generated description
Etnefjellet is a mountainous area in western Norway known for its rugged terrain, hiking opportunities, and scenic natural landscapes.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Etnefjellet
Target entity description: Etnefjellet is a mountainous area in western Norway known for its rugged terrain, hiking opportunities, and scenic natural landscapes.
  • A. Heilefjellet
    Heilefjellet is a mountain located in the coastal municipality of Bremanger in Vestland county, western Norway.
  • B. Saltfjellet
    Saltfjellet is a large mountainous region in northern Norway known for its rugged peaks, extensive plateau, and the Saltfjellet–Svartisen National Park.
  • C. Hodnefjell
    Hodnefjell is an island that forms part of the Finnøy archipelago in Norway.
  • D. Filefjell
    Filefjell is a mountainous area and historic mountain pass in southern Norway, known as an important route between Eastern and Western Norway and a popular destination for hiking and winter sports.
  • E. Ramnefjellet
    Ramnefjellet is a mountain in Norway best known for the massive rockslides in the early 20th century that caused catastrophic tsunamis in the nearby lake Lovatnet.
  • 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_69d889d710288190bf0f4762801fefae completed April 10, 2026, 5:25 a.m.
NER Named-entity recognition batch_69e43a8c718c81909cb20749aaf12897 completed April 19, 2026, 2:14 a.m.
NED1 Entity disambiguation (via context triple) batch_6a01afe4b8c48190bfb74141db5dfdf4 completed May 11, 2026, 10:31 a.m.
NEDg Description generation batch_6a01b0be5e7481908f87aeb844ff9e05 completed May 11, 2026, 10:34 a.m.
NED2 Entity disambiguation (via description) batch_6a01b11e85c08190a7bb2a82c9a4a9ca completed May 11, 2026, 10:36 a.m.
Created at: April 10, 2026, 5:45 a.m.