Triple

T10852516
Position Surface form Disambiguated ID Type / Status
Subject Solbergfoss power station E256182 entity
Predicate ownedBy P347 FINISHED
Object Hafslund Eco
Hafslund Eco is a major Norwegian energy company focused on renewable power production, particularly hydropower.
 E245869 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: Hafslund Eco | Statement: [Solbergfoss power station, ownedBy, Hafslund Eco]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Hafslund Eco
Context triple: [Solbergfoss power station, ownedBy, Hafslund Eco]
  • A. Skogrand
    Skogrand is a small settlement located within the municipality of Nes in Akershus county, Norway.
  • B. Hafslund
    Hafslund is a major Norwegian energy and utility company known for its role in electricity production, distribution, and related services.
  • C. Holmen
    Holmen is a residential neighborhood in Oslo, Norway, known for its green surroundings and location within the borough of Vestre Aker.
  • D. Borregaard
    Borregaard is a Norwegian biorefinery company that produces advanced and sustainable bio-based chemicals and materials from wood.
  • E. Egger Highlands
    Egger Highlands is a residential neighborhood in the southern part of San Diego, California, near the U.S.–Mexico border.
  • 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: Hafslund Eco
Triple: [Solbergfoss power station, ownedBy, Hafslund Eco]
Generated description
Hafslund Eco is a major Norwegian energy company focused on renewable power production, particularly hydropower.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Hafslund Eco
Target entity description: Hafslund Eco is a major Norwegian energy company focused on renewable power production, particularly hydropower.
  • A. Skogrand
    Skogrand is a small settlement located within the municipality of Nes in Akershus county, Norway.
  • B. Hafslund chosen
    Hafslund is a major Norwegian energy and utility company known for its role in electricity production, distribution, and related services.
  • C. Holmen
    Holmen is a residential neighborhood in Oslo, Norway, known for its green surroundings and location within the borough of Vestre Aker.
  • D. Borregaard
    Borregaard is a Norwegian biorefinery company that produces advanced and sustainable bio-based chemicals and materials from wood.
  • E. Egger Highlands
    Egger Highlands is a residential neighborhood in the southern part of San Diego, California, near the U.S.–Mexico border.
  • F. None of above.

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_69d6aa83d1448190a66d93c32394d21f completed April 8, 2026, 7:20 p.m.
NER Named-entity recognition batch_69d75134299481909459fd87917261a7 completed April 9, 2026, 7:11 a.m.
NED1 Entity disambiguation (via context triple) batch_69deb17d978c8190883b4a56e88859de completed April 14, 2026, 9:28 p.m.
NEDg Description generation batch_69deb515ab608190981689bcad4b7530 completed April 14, 2026, 9:43 p.m.
NED2 Entity disambiguation (via description) batch_69deb602fa908190bffdd291932da3f1 completed April 14, 2026, 9:47 p.m.
Created at: April 8, 2026, 9:20 p.m.