Triple
T21298715
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Ørskog |
E524996
|
entity |
| Predicate | hasMountainArea |
P24755
|
FINISHED |
| Object |
Ørskogfjellet
Ørskogfjellet is a mountainous area in Møre og Romsdal county, Norway, known for its scenic highland landscape and outdoor recreation opportunities.
|
E1475864
|
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: Ørskogfjellet | Statement: [Ørskog, hasMountainArea, Ørskogfjellet]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Ørskogfjellet Context triple: [Ørskog, hasMountainArea, Ørskogfjellet]
-
A.
Tjørhomfjellet
Tjørhomfjellet is a ski resort located in Sirdal municipality in southern Norway, known for its alpine slopes and winter sports facilities.
-
B.
Høgefjellet
Høgefjellet is a mountain located on the island of Vågsøy in Vestland county, western Norway.
-
C.
Slettefjell
Slettefjell is a mountain in Norway known for its scenic highland landscapes and popular hiking and skiing routes.
-
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.
Fonnfjellet
Fonnfjellet is a mountain located in the municipality of Meråker in Trøndelag county, central Norway.
- 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: Ørskogfjellet Triple: [Ørskog, hasMountainArea, Ørskogfjellet]
Generated description
Ørskogfjellet is a mountainous area in Møre og Romsdal county, Norway, known for its scenic highland landscape and outdoor recreation opportunities.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Ørskogfjellet Target entity description: Ørskogfjellet is a mountainous area in Møre og Romsdal county, Norway, known for its scenic highland landscape and outdoor recreation opportunities.
-
A.
Tjørhomfjellet
Tjørhomfjellet is a ski resort located in Sirdal municipality in southern Norway, known for its alpine slopes and winter sports facilities.
-
B.
Høgefjellet
Høgefjellet is a mountain located on the island of Vågsøy in Vestland county, western Norway.
-
C.
Slettefjell
Slettefjell is a mountain in Norway known for its scenic highland landscapes and popular hiking and skiing routes.
-
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.
Fonnfjellet
Fonnfjellet is a mountain located in the municipality of Meråker in Trøndelag county, central Norway.
- 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_69e0b517e6748190850d6f6ddf323d69 |
completed | April 16, 2026, 10:08 a.m. |
| NER | Named-entity recognition | batch_69e7385a24d08190bfd410c7f10fa6f7 |
completed | April 21, 2026, 8:42 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a099814529c8190a94cfd3355862d0f |
completed | May 17, 2026, 10:27 a.m. |
| NEDg | Description generation | batch_6a0998b0c09081909f99cdd4064f55cc |
completed | May 17, 2026, 10:30 a.m. |
| NED2 | Entity disambiguation (via description) | batch_6a09993444c88190a5f594315b81c34a |
completed | May 17, 2026, 10:32 a.m. |
Created at: April 16, 2026, 4:05 p.m.