Triple
T6760654
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Dogger Bank Wind Farm |
E154581
|
entity |
| Predicate | ownershipStakeHolder |
P1553
|
FINISHED |
| Object | Vårgrønn |
E617439
|
NE FINISHED |
How this triple was built (2 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: Vårgrønn | Statement: [Dogger Bank Wind Farm, ownershipStakeHolder, Vårgrønn]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Vårgrønn Context triple: [Dogger Bank Wind Farm, ownershipStakeHolder, Vårgrønn]
-
A.
Vårgrønn
chosen
Vårgrønn is a renewable energy company focused on developing offshore wind projects, particularly in the North Sea region.
-
B.
Blågult
Blågult is the popular Swedish nickname for the Sweden women's national football team, referencing the country's blue and yellow colors.
-
C.
Tåsen
Tåsen is a residential neighborhood in Oslo, Norway, known for its quiet streets, green spaces, and proximity to the city center.
-
D.
Kräsuli
Kräsuli is a small Estonian island that forms part of Viimsi Parish in northern Estonia.
-
E.
Gruden
Gruden is a surname most prominently associated with Jon Gruden, a former NFL head coach and television analyst.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (3 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_69c688109c1c8190added9a221292af0 |
completed | March 27, 2026, 1:37 p.m. |
| NER | Named-entity recognition | batch_69c6d212c31881909dfe8ca9de69acf7 |
completed | March 27, 2026, 6:53 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c71a78feb8819084314c2ae043d289 |
completed | March 28, 2026, 12:02 a.m. |
Created at: March 27, 2026, 2:12 p.m.