Triple
T22220246
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Kvikne |
E549188
|
entity |
| Predicate | hasNearbyMountainArea |
P10602
|
FINISHED |
| Object |
Kviknefjella
Kviknefjella is a mountainous area in central Norway known for its highland plateaus, rugged peaks, and traditional mining and pastoral landscapes near the village of Kvikne.
|
E1525186
|
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: Kviknefjella | Statement: [Kvikne, hasNearbyMountainArea, Kviknefjella]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Kviknefjella Context triple: [Kvikne, hasNearbyMountainArea, Kviknefjella]
-
A.
Vinnufjellet
Vinnufjellet is a prominent mountain in Sunndal Municipality in Møre og Romsdal county, Norway, known for its steep cliffs and the nearby Vinnufossen waterfall, one of the highest in Europe.
-
B.
Fonnfjellet
Fonnfjellet is a mountain located in the municipality of Meråker in Trøndelag county, central Norway.
-
C.
Hodnefjell
Hodnefjell is an island that forms part of the Finnøy archipelago in Norway.
-
D.
Narvikfjellet
Narvikfjellet is a Norwegian mountain and ski resort near Narvik, known for its scenic fjord views and opportunities for skiing and outdoor recreation.
-
E.
Mælefjell
Mælefjell is a prominent mountain peak in Telemark, Norway, known as the highest point of the Lifjell mountain area.
- 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: Kviknefjella Triple: [Kvikne, hasNearbyMountainArea, Kviknefjella]
Generated description
Kviknefjella is a mountainous area in central Norway known for its highland plateaus, rugged peaks, and traditional mining and pastoral landscapes near the village of Kvikne.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Kviknefjella Target entity description: Kviknefjella is a mountainous area in central Norway known for its highland plateaus, rugged peaks, and traditional mining and pastoral landscapes near the village of Kvikne.
-
A.
Vinnufjellet
Vinnufjellet is a prominent mountain in Sunndal Municipality in Møre og Romsdal county, Norway, known for its steep cliffs and the nearby Vinnufossen waterfall, one of the highest in Europe.
-
B.
Fonnfjellet
Fonnfjellet is a mountain located in the municipality of Meråker in Trøndelag county, central Norway.
-
C.
Hodnefjell
Hodnefjell is an island that forms part of the Finnøy archipelago in Norway.
-
D.
Narvikfjellet
Narvikfjellet is a Norwegian mountain and ski resort near Narvik, known for its scenic fjord views and opportunities for skiing and outdoor recreation.
-
E.
Mælefjell
Mælefjell is a prominent mountain peak in Telemark, Norway, known as the highest point of the Lifjell mountain area.
- 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_69e11e403d6481909a94d0aaf157f6ef |
completed | April 16, 2026, 5:37 p.m. |
| NER | Named-entity recognition | batch_69f12b8fa3d081908db0a0556b009d8f |
completed | April 28, 2026, 9:50 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a0aae6d90fc8190a6ac75ea0ec0f7f1 |
completed | May 18, 2026, 6:15 a.m. |
| NEDg | Description generation | batch_6a0aaf211d8481908e7c23e35e920e87 |
completed | May 18, 2026, 6:18 a.m. |
| NED2 | Entity disambiguation (via description) | batch_6a0ab01b5cd48190bf67942798e4db45 |
completed | May 18, 2026, 6:22 a.m. |
Created at: April 16, 2026, 8:37 p.m.