Triple

T22503678
Position Surface form Disambiguated ID Type / Status
Subject GEOVIA E556336 entity
Predicate parentCompany P254 FINISHED
Object Dassault Systèmes 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: Dassault Systèmes | Statement: [GEOVIA, parentCompany, Dassault Systèmes]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Dassault Systèmes
Context triple: [GEOVIA, parentCompany, Dassault Systèmes]
  • A. Dassault Systèmes chosen
    Dassault Systèmes is a French multinational software company best known for its 3D design, engineering, and product lifecycle management (PLM) solutions such as CATIA and SOLIDWORKS.
  • B. Atos SE
    Atos SE is a French multinational information technology and digital services company known for providing consulting, systems integration, managed services, and cloud solutions worldwide.
  • C. Polytech Group
    Polytech Group is a French network of public university engineering schools offering accredited engineering degrees across a wide range of specialties.
  • D. Eiffel Software
    Eiffel Software is a software company best known for developing the Eiffel programming language and tools that emphasize object-oriented design and software reliability.
  • E. Tata Technologies
    Tata Technologies is a global engineering and product development digital services company that provides design, engineering, and IT solutions primarily to automotive and industrial clients.
  • 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_69f15d5a01888190ba65a05616b63cbe completed April 29, 2026, 1:22 a.m.
Created at: April 16, 2026, 8:50 p.m.