Triple
T22663110
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | CATIA |
E559714
|
entity |
| Predicate | developer |
P73
|
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: [CATIA, developer, Dassault Systèmes]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Dassault Systèmes Context triple: [CATIA, developer, 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_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.