Triple

T15131214
Position Surface form Disambiguated ID Type / Status
Subject Borssele nuclear power plant E361423 entity
Predicate owner P347 FINISHED
Object RWE E226682 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: RWE | Statement: [Borssele nuclear power plant, owner, RWE]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: RWE
Context triple: [Borssele nuclear power plant, owner, RWE]
  • A. RWE chosen
    RWE is a major German energy company that operates internationally, with significant investments in renewable power generation such as large offshore wind farms.
  • B. E.ON
    E.ON is a major European energy company based in Germany that focuses on electricity generation, renewable energy, and energy infrastructure services.
  • C. EDF Energy
    EDF Energy is a major UK-based energy company that generates and supplies electricity and gas, particularly known for operating nuclear power stations and low-carbon energy assets.
  • D. Ørsted
    Ørsted is a Danish renewable energy company and one of the world’s leading developers and operators of offshore wind farms.
  • E. EDF Renewables
    EDF Renewables is a global renewable energy company specializing in the development, construction, and operation of wind, solar, and energy storage projects.
  • 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_69d85a06450081909c5a14ea9851a15e completed April 10, 2026, 2:01 a.m.
NER Named-entity recognition batch_69e005b194748190801e3956bf2429d4 completed April 15, 2026, 9:40 p.m.
NED1 Entity disambiguation (via context triple) batch_69feb7fa449c8190aed8941168b063c3 completed May 9, 2026, 4:28 a.m.
Created at: April 10, 2026, 3:06 a.m.