Triple

T5934150
Position Surface form Disambiguated ID Type / Status
Subject Veolia Environnement E132003 entity
Predicate formerName P65 FINISHED
Object Vivendi Environnement E132003 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: Vivendi Environnement | Statement: [Veolia Environnement, formerName, Vivendi Environnement]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Vivendi Environnement
Context triple: [Veolia Environnement, formerName, 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. GDF Suez
    GDF Suez was a major French multinational energy company, primarily active in electricity and natural gas, that later rebranded as Engie.
  • D. Vivendi Universal Entertainment
    Vivendi Universal Entertainment was the media and entertainment division of the French conglomerate Vivendi, encompassing film, television, and theme park assets that later became part of NBCUniversal.
  • E. Dalkia
    Dalkia is a French energy services company specializing in energy efficiency, district heating and cooling, and sustainable energy solutions for buildings and industry.
  • 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_69c0085c55dc8190aa90e242c956e2fa completed March 22, 2026, 3:18 p.m.
NER Named-entity recognition batch_69c038a0c4e481908170d615330edb1a completed March 22, 2026, 6:44 p.m.
NED1 Entity disambiguation (via context triple) batch_69c0c069e450819096b268637ffcd219 completed March 23, 2026, 4:24 a.m.
Created at: March 22, 2026, 4 p.m.