Triple
T19579991
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Skagerak Arena |
E489960
|
entity |
| Predicate | namedAfter |
P63
|
FINISHED |
| Object |
Skagerak Energi
Skagerak Energi is a Norwegian energy company that produces and distributes electricity, primarily in the Telemark and Vestfold regions.
|
E1385212
|
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: Skagerak Energi | Statement: [Skagerak Arena, namedAfter, Skagerak Energi]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Skagerak Energi Context triple: [Skagerak Arena, namedAfter, Skagerak Energi]
-
A.
Ørsted
Ørsted is a Danish renewable energy company and one of the world’s leading developers and operators of offshore wind farms.
-
B.
Aker ASA
Aker ASA is a Norwegian industrial investment company with major holdings in sectors such as energy, maritime assets, and marine biotechnology.
-
C.
Norse Atlantic ASA
Norse Atlantic ASA is a Norwegian aviation company that owns and operates the low-cost long-haul carrier Norse Atlantic Airways, focusing primarily on transatlantic routes.
-
D.
Equinor
Equinor is a Norwegian state-owned energy company and one of the world’s leading producers of oil, gas, and increasingly renewable energy.
-
E.
Ørsted A
Ørsted A is a small lunar satellite crater located near the main Ørsted crater on the Moon’s surface.
- 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: Skagerak Energi Triple: [Skagerak Arena, namedAfter, Skagerak Energi]
Generated description
Skagerak Energi is a Norwegian energy company that produces and distributes electricity, primarily in the Telemark and Vestfold regions.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Skagerak Energi Target entity description: Skagerak Energi is a Norwegian energy company that produces and distributes electricity, primarily in the Telemark and Vestfold regions.
-
A.
Ørsted
Ørsted is a Danish renewable energy company and one of the world’s leading developers and operators of offshore wind farms.
-
B.
Aker ASA
Aker ASA is a Norwegian industrial investment company with major holdings in sectors such as energy, maritime assets, and marine biotechnology.
-
C.
Norse Atlantic ASA
Norse Atlantic ASA is a Norwegian aviation company that owns and operates the low-cost long-haul carrier Norse Atlantic Airways, focusing primarily on transatlantic routes.
-
D.
Equinor
Equinor is a Norwegian state-owned energy company and one of the world’s leading producers of oil, gas, and increasingly renewable energy.
-
E.
Ørsted A
Ørsted A is a small lunar satellite crater located near the main Ørsted crater on the Moon’s surface.
- 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_69d8e8dd9374819098e36349b3211663 |
completed | April 10, 2026, 12:11 p.m. |
| NER | Named-entity recognition | batch_69e6402763b8819099e535979f094f9d |
completed | April 20, 2026, 3:03 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a075f0d5f608190b28b877fd8c1dfb6 |
completed | May 15, 2026, 5:59 p.m. |
| NEDg | Description generation | batch_6a0760f5a32c81908a0b405a72f859f1 |
completed | May 15, 2026, 6:07 p.m. |
| NED2 | Entity disambiguation (via description) | batch_6a0761c8b3008190bbc7a29412b49045 |
completed | May 15, 2026, 6:11 p.m. |
Created at: April 10, 2026, 1:42 p.m.