Triple

T7770520
Position Surface form Disambiguated ID Type / Status
Subject Ångerman River E179055 entity
Predicate hasHydropowerPlant P15311 FINISHED
Object Lasele power station E686738 NE FINISHED

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: Lasele power station | Statement: [Ångerman River, hasHydropowerPlant, Lasele power station]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Lasele power station
Context triple: [Ångerman River, hasHydropowerPlant, Lasele power station]
  • A. Olidan power station
    Olidan power station is one of Sweden’s oldest large-scale hydroelectric power plants, located in Trollhättan and historically important for the country’s industrial electrification.
  • B. Forsmo power station chosen
    Forsmo power station is a hydroelectric power plant in Sweden that harnesses the flow of the Ångerman River to generate electricity.
  • C. Montta power plant
    Montta power plant is a hydroelectric power station located on the Oulujoki River in Finland, contributing to regional renewable energy production.
  • D. Vamma power station
    Vamma power station is a major hydroelectric power plant in Norway, harnessing the flow of the Glomma River to generate renewable energy.
  • E. Duvha Power Station
    Duvha Power Station is a large coal-fired power plant in South Africa that forms part of Eskom’s fleet supplying electricity to the national grid.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (3 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_69c69f30602c819082ab52cd4af5c592 completed March 27, 2026, 3:16 p.m.
NER Named-entity recognition batch_69c70438ca2481909114b0c434717109 completed March 27, 2026, 10:27 p.m.
NED1 Entity disambiguation (via context triple) batch_69c8d6d0f1988190b4df650bebb61fd3 completed March 29, 2026, 7:37 a.m.
Created at: March 27, 2026, 4:11 p.m.