Triple
T10428991
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Sigdal |
E245858
|
entity |
| Predicate | hasAttraction |
P105
|
FINISHED |
| Object |
Eggedal Vestfjell
Eggedal Vestfjell is a mountainous wilderness and outdoor recreation area in Norway known for its hiking, skiing, and scenic natural landscapes.
|
E864943
|
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: Eggedal Vestfjell | Statement: [Sigdal, hasAttraction, Eggedal Vestfjell]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Eggedal Vestfjell Context triple: [Sigdal, hasAttraction, Eggedal Vestfjell]
-
A.
Tjørhomfjellet
Tjørhomfjellet is a ski resort located in Sirdal municipality in southern Norway, known for its alpine slopes and winter sports facilities.
-
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.
Norefjell
Norefjell is a prominent Norwegian mountain range and ski resort area known for its alpine terrain and winter sports facilities.
-
D.
Hodnefjell
Hodnefjell is an island that forms part of the Finnøy archipelago in Norway.
-
E.
Kvitfjell
Kvitfjell is a Norwegian alpine ski resort renowned for hosting major international competitions, including Olympic and World Cup events.
- 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: Eggedal Vestfjell Triple: [Sigdal, hasAttraction, Eggedal Vestfjell]
Generated description
Eggedal Vestfjell is a mountainous wilderness and outdoor recreation area in Norway known for its hiking, skiing, and scenic natural landscapes.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Eggedal Vestfjell Target entity description: Eggedal Vestfjell is a mountainous wilderness and outdoor recreation area in Norway known for its hiking, skiing, and scenic natural landscapes.
-
A.
Tjørhomfjellet
Tjørhomfjellet is a ski resort located in Sirdal municipality in southern Norway, known for its alpine slopes and winter sports facilities.
-
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.
Norefjell
Norefjell is a prominent Norwegian mountain range and ski resort area known for its alpine terrain and winter sports facilities.
-
D.
Hodnefjell
Hodnefjell is an island that forms part of the Finnøy archipelago in Norway.
-
E.
Kvitfjell
Kvitfjell is a Norwegian alpine ski resort renowned for hosting major international competitions, including Olympic and World Cup events.
- 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_69d381bf3dc08190bf35a2643e4e8f22 |
completed | April 6, 2026, 9:49 a.m. |
| NER | Named-entity recognition | batch_69d4ea4b4b5881908ae23f8efeea482b |
completed | April 7, 2026, 11:28 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d89f8a5b00819080c303bb0fc82f5a |
completed | April 10, 2026, 6:58 a.m. |
| NEDg | Description generation | batch_69d8a1656b348190ba932d03402d6a4d |
completed | April 10, 2026, 7:06 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69d8a2b82bb48190899f37a967fef444 |
completed | April 10, 2026, 7:11 a.m. |
Created at: April 6, 2026, 12:13 p.m.