Triple

T22460450
Position Surface form Disambiguated ID Type / Status
Subject TotalEnergies SE E555213 entity
Predicate hasSubsidiary P254 FINISHED
Object TotalEnergies Gas & Power 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: TotalEnergies Gas & Power | Statement: [TotalEnergies SE, hasSubsidiary, TotalEnergies Gas & Power]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: TotalEnergies Gas & Power
Context triple: [TotalEnergies SE, hasSubsidiary, TotalEnergies Gas & Power]
  • A. TotalEnergies chosen
    TotalEnergies is a major French multinational energy company engaged in oil, gas, and renewable energy production and distribution worldwide.
  • B. TotalEnergies Renewables
    TotalEnergies Renewables is the renewable energy arm of TotalEnergies SE, focused on developing and operating low-carbon power projects such as solar and wind worldwide.
  • C. Uniper
    Uniper is a German energy company focused on power generation and global energy trading, formed from the conventional energy business spun off from E.ON.
  • D. Électricité de France
    Électricité de France is France’s state-owned electric utility company and one of the world’s largest producers and distributors of electricity, particularly known for its extensive nuclear power fleet.
  • E. Vinci Energies
    Vinci Energies is a global engineering and services company specializing in energy, electrical, and information and communication technology solutions across infrastructure, industry, and building sectors.
  • 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_69e11e51fdec8190adfdf9f8a6362221 completed April 16, 2026, 5:37 p.m.
NER Named-entity recognition batch_69f15b7eb5688190bd5e41d4d8189668 completed April 29, 2026, 1:14 a.m.
Created at: April 16, 2026, 8:48 p.m.