Triple

T22504645
Position Surface form Disambiguated ID Type / Status
Subject Veolia Environnement S.A. E556357 entity
Predicate formerlyKnownAs P65 FINISHED
Object Vivendi Environnement 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: Vivendi Environnement | Statement: [Veolia Environnement S.A., formerlyKnownAs, Vivendi Environnement]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Vivendi Environnement
Context triple: [Veolia Environnement S.A., formerlyKnownAs, Vivendi Environnement]
  • A. Vivendi
    Vivendi is a French multinational media and entertainment conglomerate known for its interests in music, television, film, publishing, and communications.
  • B. Veolia Environnement chosen
    Veolia Environnement is a French multinational company specializing in water, waste, and energy management services worldwide.
  • C. Suez Environnement
    Suez Environnement was a French multinational company specializing in water and waste management services before being rebranded under the Suez name.
  • D. GDF Suez
    GDF Suez was a major French multinational energy company, primarily active in electricity and natural gas, that later rebranded as Engie.
  • 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_69e11e555edc81909ca803587dafd747 completed April 16, 2026, 5:37 p.m.
NER Named-entity recognition batch_69f15d5ac5808190a66f9111c350f4dc completed April 29, 2026, 1:22 a.m.
Created at: April 16, 2026, 8:50 p.m.