Triple

T18327003
Position Surface form Disambiguated ID Type / Status
Subject Vammafossen E439036 entity
Predicate energyInfrastructure P19374 FINISHED
Object Vamma power plant NE NERFINISHED

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: Vamma power plant | Statement: [Vammafossen, energyInfrastructure, Vamma power plant]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Vamma power plant
Context triple: [Vammafossen, energyInfrastructure, Vamma power plant]
  • A. Vamma power station chosen
    Vamma power station is a major hydroelectric power plant in Norway, harnessing the flow of the Glomma River to generate renewable energy.
  • B. Ohaaki Power Station
    Ohaaki Power Station is a geothermal power plant in New Zealand that generates electricity by harnessing heat from the Taupō Volcanic Zone.
  • C. Utanen power plant
    Utanen power plant is a hydroelectric power station located on the Oulujoki River in Finland, contributing to the region’s renewable energy production.
  • D. Liapootah Power Station
    Liapootah Power Station is a hydroelectric power facility in Tasmania, Australia, that forms part of the state's extensive Derwent River power scheme.
  • E. Markaba power station
    Markaba power station is a hydroelectric facility in Lebanon that harnesses the flow of the Litani River to generate electricity.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

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_69d8b916a2d081909e249e4902f6aad9 completed April 10, 2026, 8:47 a.m.
NER Named-entity recognition batch_69e50aab3e7c81909b1c0a688707dfd6 completed April 19, 2026, 5:02 p.m.
Created at: April 10, 2026, 10:36 a.m.