Triple

T18927167
Position Surface form Disambiguated ID Type / Status
Subject Hunderfossen waterfall E463003 entity
Predicate hasInfrastructure P2560 FINISHED
Object Hunderfossen power station — NE NERFINISHED

How this triple was built (3 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: Hunderfossen power station | Statement: [Hunderfossen waterfall, hasInfrastructure, Hunderfossen power station]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Hunderfossen power station
Context triple: [Hunderfossen waterfall, hasInfrastructure, Hunderfossen power station]
  • A. Gravfoss power station
    Gravfoss power station is a hydroelectric power plant located on the Drammenselva river in Norway, generating renewable electricity from the river’s flow.
  • B. Sarpsfossen power station
    Sarpsfossen power station is a hydroelectric power plant in Norway that harnesses the energy of the Glomma River at the Sarpsfossen waterfall to generate electricity.
  • C. Hellefoss power station
    Hellefoss power station is a hydroelectric power plant located on the Drammenselva river in Norway, generating renewable energy from the river’s flow.
  • D. Åmotfoss power station
    Åmotfoss power station is a hydroelectric power plant located on the Drammenselva river in Norway, generating renewable electricity from the river’s flow.
  • E. Lysebotn Hydropower Station
    Lysebotn Hydropower Station is a major Norwegian hydroelectric power plant located at the end of the Lysefjord, known for its large underground facilities and significant electricity production.
  • F. None of above. chosen
  • G. Unsure - the case is ambiguous/there is not enough information to decide.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Hunderfossen power station
Target entity description: Hunderfossen power station is a hydroelectric power plant in Norway that harnesses the flow of the River Gudbrandsdalslågen near the Hunderfossen waterfall to generate electricity.
  • A. Gravfoss power station
    Gravfoss power station is a hydroelectric power plant located on the Drammenselva river in Norway, generating renewable electricity from the river’s flow.
  • B. Sarpsfossen power station
    Sarpsfossen power station is a hydroelectric power plant in Norway that harnesses the energy of the Glomma River at the Sarpsfossen waterfall to generate electricity.
  • C. Hellefoss power station
    Hellefoss power station is a hydroelectric power plant located on the Drammenselva river in Norway, generating renewable energy from the river’s flow.
  • D. Åmotfoss power station
    Åmotfoss power station is a hydroelectric power plant located on the Drammenselva river in Norway, generating renewable electricity from the river’s flow.
  • E. Lysebotn Hydropower Station
    Lysebotn Hydropower Station is a major Norwegian hydroelectric power plant located at the end of the Lysefjord, known for its large underground facilities and significant electricity production.
  • F. None of above. chosen

Provenance (2 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_69d8dcfdbbb881909964fa5a75bd0b48 completed April 10, 2026, 11:20 a.m.
NER Named-entity recognition batch_69e5c9bc36588190ae9cc3b8abf8afd4 completed April 20, 2026, 6:37 a.m.
Created at: April 10, 2026, 11:59 a.m.