Triple

T16484215
Position Surface form Disambiguated ID Type / Status
Subject Cogema E400395 entity
Predicate hasSuccessorOrganization P101 FINISHED
Object Orano (through Areva restructuring) E400399 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: Orano (through Areva restructuring) | Statement: [Cogema, hasSuccessorOrganization, Orano (through Areva restructuring)]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Orano (through Areva restructuring)
Context triple: [Cogema, hasSuccessorOrganization, Orano (through Areva restructuring)]
  • A. Areva
    Areva was a French multinational group specializing in nuclear power and renewable energy technologies, known for its involvement in the entire nuclear fuel cycle.
  • B. Orano chosen
    Orano is a French multinational nuclear fuel cycle company specializing in uranium mining, conversion, enrichment, recycling, and related nuclear services.
  • C. GDF Suez
    GDF Suez was a major French multinational energy company, primarily active in electricity and natural gas, that later rebranded as Engie.
  • D. Suez Environnement
    Suez Environnement was a French multinational company specializing in water and waste management services before being rebranded under the Suez name.
  • 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 (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_69d883813098819084f5409539723b59 completed April 10, 2026, 4:58 a.m.
NER Named-entity recognition batch_69e32e05bf448190947b9da15fd29d0a completed April 18, 2026, 7:08 a.m.
NED1 Entity disambiguation (via context triple) batch_6a005820790c819088d953eeea09328d completed May 10, 2026, 10:04 a.m.
Created at: April 10, 2026, 5:13 a.m.