Triple
T21335651
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Sunndalsøra |
E526037
|
entity |
| Predicate | hasNearbyMountain |
P651
|
FINISHED |
| Object |
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.
|
E1478891
|
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: Vinnufjellet | Statement: [Sunndalsøra, hasNearbyMountain, Vinnufjellet]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Vinnufjellet Context triple: [Sunndalsøra, hasNearbyMountain, Vinnufjellet]
-
A.
Fonnfjellet
Fonnfjellet is a mountain located in the municipality of Meråker in Trøndelag county, central Norway.
-
B.
Narvikfjellet
Narvikfjellet is a Norwegian mountain and ski resort near Narvik, known for its scenic fjord views and opportunities for skiing and outdoor recreation.
-
C.
Hodnefjell
Hodnefjell is an island that forms part of the Finnøy archipelago in Norway.
-
D.
Saltfjellet
Saltfjellet is a large mountainous region in northern Norway known for its rugged peaks, extensive plateau, and the Saltfjellet–Svartisen National Park.
-
E.
Heilefjellet
Heilefjellet is a mountain located in the coastal municipality of Bremanger in Vestland county, western 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: Vinnufjellet Triple: [Sunndalsøra, hasNearbyMountain, Vinnufjellet]
Generated description
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.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Vinnufjellet Target entity description: 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.
-
A.
Fonnfjellet
Fonnfjellet is a mountain located in the municipality of Meråker in Trøndelag county, central Norway.
-
B.
Narvikfjellet
Narvikfjellet is a Norwegian mountain and ski resort near Narvik, known for its scenic fjord views and opportunities for skiing and outdoor recreation.
-
C.
Hodnefjell
Hodnefjell is an island that forms part of the Finnøy archipelago in Norway.
-
D.
Saltfjellet
Saltfjellet is a large mountainous region in northern Norway known for its rugged peaks, extensive plateau, and the Saltfjellet–Svartisen National Park.
-
E.
Heilefjellet
Heilefjellet is a mountain located in the coastal municipality of Bremanger in Vestland county, western 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_69e0b51c33048190ab27cede74ef798c |
completed | April 16, 2026, 10:08 a.m. |
| NER | Named-entity recognition | batch_69e898d6fcbc8190b83d9cfc9b4ca123 |
completed | April 22, 2026, 9:45 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a09a5c260dc8190be7acb83b1c9c832 |
completed | May 17, 2026, 11:25 a.m. |
| NEDg | Description generation | batch_6a09a8aef61c8190985aad0637b8fadd |
completed | May 17, 2026, 11:38 a.m. |
| NED2 | Entity disambiguation (via description) | batch_6a09a915a57c81909b5b1bb7042957a0 |
completed | May 17, 2026, 11:40 a.m. |
Created at: April 16, 2026, 4:43 p.m.