Triple

T17370030
Position Surface form Disambiguated ID Type / Status
Subject Rjukan E422285 entity
Predicate hasPowerPlant P9904 FINISHED
Object Såheim power plant — NE ONDG

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: Såheim power plant | Statement: [Rjukan, hasPowerPlant, Såheim power plant]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Såheim power plant
Context triple: [Rjukan, hasPowerPlant, Såheim power plant]
  • A. Forsmo power station
    Forsmo power station is a hydroelectric power plant in Sweden that harnesses the flow of the Ångerman River to generate electricity.
  • B. Montta power plant
    Montta power plant is a hydroelectric power station located on the Oulujoki River in Finland, contributing to regional renewable energy production.
  • C. Merikoski power plant
    Merikoski power plant is a hydroelectric power station located on the Oulujoki River in Oulu, Finland, generating electricity from the river’s flow.
  • D. Jylhämä power plant
    Jylhämä power plant is a hydroelectric power station located on the Oulujoki River in Finland, contributing to regional electricity production.
  • E. Pyhäkoski power plant
    The Pyhäkoski power plant is a major hydroelectric facility in Finland, known as one of the key stations harnessing the flow of the Oulujoki River for electricity production.
  • 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: Såheim power plant
Triple: [Rjukan, hasPowerPlant, Såheim power plant]
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Såheim power plant
Target entity description: Såheim power plant is a historic hydroelectric power station in Rjukan, Norway, built to harness the Rjukan waterfall for industrial development in the early 20th century.
  • A. Forsmo power station
    Forsmo power station is a hydroelectric power plant in Sweden that harnesses the flow of the Ångerman River to generate electricity.
  • B. Montta power plant
    Montta power plant is a hydroelectric power station located on the Oulujoki River in Finland, contributing to regional renewable energy production.
  • C. Merikoski power plant
    Merikoski power plant is a hydroelectric power station located on the Oulujoki River in Oulu, Finland, generating electricity from the river’s flow.
  • D. Jylhämä power plant
    Jylhämä power plant is a hydroelectric power station located on the Oulujoki River in Finland, contributing to regional electricity production.
  • E. Pyhäkoski power plant
    The Pyhäkoski power plant is a major hydroelectric facility in Finland, known as one of the key stations harnessing the flow of the Oulujoki River for electricity production.
  • F. None of above. chosen

Provenance (4 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_69d889d6535c81908be333c01deaec4e completed April 10, 2026, 5:25 a.m.
NER Named-entity recognition batch_69e43a6842388190940235198fa50041 completed April 19, 2026, 2:14 a.m.
NED1 Entity disambiguation (via context triple) batch_6a019566da6c819083b59e0911d02bd5 completed May 11, 2026, 8:37 a.m.
NEDg Description generation batch_6a01962ae4848190b2aad8e19bf6522f in_progress May 11, 2026, 8:41 a.m.
Created at: April 10, 2026, 5:44 a.m.