Triple

T18327030
Position Surface form Disambiguated ID Type / Status
Subject Vamma power station E439037 entity
Predicate ownedBy P347 FINISHED
Object E-CO Energi 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: E-CO Energi | Statement: [Vamma power station, ownedBy, E-CO Energi]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: E-CO Energi
Context triple: [Vamma power station, ownedBy, E-CO Energi]
  • A. E-CO Energi chosen
    E-CO Energi is a Norwegian energy company primarily involved in the production and distribution of hydroelectric power.
  • B. Utilita Energy
    Utilita Energy is a UK-based independent energy supplier known for providing pay-as-you-go gas and electricity services, particularly to prepayment meter customers.
  • C. Enel X
    Enel X is a global energy solutions company specializing in advanced smart grids, electric mobility, and innovative charging technologies for electric vehicles and sustainable transport.
  • D. DB Energie GmbH
    DB Energie GmbH is a subsidiary of Deutsche Bahn that supplies and manages energy—particularly electricity—for Germany’s railway infrastructure and operations.
  • E. Eneco
    Eneco is a Dutch energy company focused on sustainable electricity, gas, and heat production and supply in the Netherlands and surrounding regions.
  • 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.