Triple

T7315430
Position Surface form Disambiguated ID Type / Status
Subject Dalkia E168398 entity
Predicate partOf P40 FINISHED
Object EDF Group E166775 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: EDF Group | Statement: [Dalkia, partOf, EDF Group]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: EDF Group
Context triple: [Dalkia, partOf, EDF Group]
  • A. Électricité de France chosen
    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.
  • B. GDF Suez
    GDF Suez was a major French multinational energy company, primarily active in electricity and natural gas, that later rebranded as Engie.
  • C. ED&F Man
    ED&F Man is a historic British commodities trading and brokerage firm best known for its global sugar, coffee, and agricultural products business.
  • D. EDF Renewables
    EDF Renewables is a global renewable energy company specializing in the development, construction, and operation of wind, solar, and energy storage projects.
  • E. E.ON
    E.ON is a major European energy company based in Germany that focuses on electricity generation, renewable energy, and energy infrastructure services.
  • 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_69c68a5251508190ad68df4151cfeb04 completed March 27, 2026, 1:46 p.m.
NER Named-entity recognition batch_69c6ec04bdfc819093556aa5fa69e0e1 completed March 27, 2026, 8:43 p.m.
NED1 Entity disambiguation (via context triple) batch_69c7eeeedea88190a17cf6b83abc10d8 completed March 28, 2026, 3:08 p.m.
Created at: March 27, 2026, 3:02 p.m.