Triple

T6760651
Position Surface form Disambiguated ID Type / Status
Subject Dogger Bank Wind Farm E154581 entity
Predicate developedBy P73 FINISHED
Object Vårgrønn
Vårgrønn is a renewable energy company focused on developing offshore wind projects, particularly in the North Sea region.
 E617439 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: Vårgrønn | Statement: [Dogger Bank Wind Farm, developedBy, Vårgrønn]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Vårgrønn
Context triple: [Dogger Bank Wind Farm, developedBy, Vårgrønn]
  • A. Blågult
    Blågult is the popular Swedish nickname for the Sweden women's national football team, referencing the country's blue and yellow colors.
  • B. Tåsen
    Tåsen is a residential neighborhood in Oslo, Norway, known for its quiet streets, green spaces, and proximity to the city center.
  • C. Kräsuli
    Kräsuli is a small Estonian island that forms part of Viimsi Parish in northern Estonia.
  • D. Gruden
    Gruden is a surname most prominently associated with Jon Gruden, a former NFL head coach and television analyst.
  • E. Saftleven
    Saftleven is a Dutch family name most notably associated with a 17th-century artistic dynasty of painters and draughtsmen from the Netherlands.
  • 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: Vårgrønn
Triple: [Dogger Bank Wind Farm, developedBy, Vårgrønn]
Generated description
Vårgrønn is a renewable energy company focused on developing offshore wind projects, particularly in the North Sea region.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Vårgrønn
Target entity description: Vårgrønn is a renewable energy company focused on developing offshore wind projects, particularly in the North Sea region.
  • A. Blågult
    Blågult is the popular Swedish nickname for the Sweden women's national football team, referencing the country's blue and yellow colors.
  • B. Tåsen
    Tåsen is a residential neighborhood in Oslo, Norway, known for its quiet streets, green spaces, and proximity to the city center.
  • C. Kräsuli
    Kräsuli is a small Estonian island that forms part of Viimsi Parish in northern Estonia.
  • D. Gruden
    Gruden is a surname most prominently associated with Jon Gruden, a former NFL head coach and television analyst.
  • E. Saftleven
    Saftleven is a Dutch family name most notably associated with a 17th-century artistic dynasty of painters and draughtsmen from the Netherlands.
  • 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_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_69c712b352d08190932bc99dd3d673ba completed March 27, 2026, 11:28 p.m.
NEDg Description generation batch_69c713842b9c8190ae31eba0bd449968 completed March 27, 2026, 11:32 p.m.
NED2 Entity disambiguation (via description) batch_69c71444e9ec8190a68531ed29fd9377 completed March 27, 2026, 11:35 p.m.
Created at: March 27, 2026, 2:12 p.m.