Triple

T22662827
Position Surface form Disambiguated ID Type / Status
Subject Eurovia E559706 entity
Predicate owner P347 FINISHED
Object Vinci SA 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: Vinci SA | Statement: [Eurovia, owner, Vinci SA]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Vinci SA
Context triple: [Eurovia, owner, Vinci SA]
  • A. Vinci SA chosen
    Vinci SA is a major French multinational concessions and construction company specializing in infrastructure development and management worldwide.
  • B. 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.
  • C. Eiffage
    Eiffage is a major French construction and civil engineering company known for delivering large-scale infrastructure projects such as the Millau Viaduct.
  • D. Printemps Group
    Printemps Group is a French retail company best known for operating the historic Printemps department stores, including the flagship Printemps Haussmann in Paris.
  • E. Puteaux Group
    The Puteaux Group was an early 20th-century circle of avant-garde artists and theorists in France who played a key role in developing and articulating Cubist ideas.
  • 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_69e2454a158c819093b8e35f5045efb6 completed April 17, 2026, 2:35 p.m.
NER Named-entity recognition batch_69f17660c0c88190bed9fa8f6517eec4 completed April 29, 2026, 3:09 a.m.
Created at: April 17, 2026, 3:08 p.m.