Triple

T3850649
Position Surface form Disambiguated ID Type / Status
Subject VINCI Airports E85285 entity
Predicate partOf P40 FINISHED
Object VINCI Group E321520 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: VINCI Group | Statement: [VINCI Airports, partOf, VINCI Group]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: VINCI Group
Context triple: [VINCI Airports, partOf, VINCI Group]
  • A. Vinci SA chosen
    Vinci SA is a major French multinational concessions and construction company specializing in infrastructure development and management worldwide.
  • B. Bouygues
    Bouygues is a major French industrial group primarily active in construction, real estate development, media, and telecommunications.
  • C. 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.
  • D. Tractebel
    Tractebel is an international engineering and consulting company specializing in energy, water, and infrastructure projects.
  • E. Thales Group
    Thales Group is a French multinational company specializing in aerospace, defense, security, and transportation technologies and systems.
  • 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_69aed936de1c81908f91bed80f70abb2 completed March 9, 2026, 2:29 p.m.
NER Named-entity recognition batch_69aeebcf67788190975105131baabc4b completed March 9, 2026, 3:48 p.m.
NED1 Entity disambiguation (via context triple) batch_69b504172d58819089d19f5cb7b803ec completed March 14, 2026, 6:45 a.m.
Created at: March 9, 2026, 3:19 p.m.