Triple
T5933957
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Dassault Systèmes |
E131999
|
entity |
| Predicate | brand |
P1500
|
FINISHED |
| Object | ENOVIA |
E131999
|
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: ENOVIA | Statement: [Dassault Systèmes, brand, ENOVIA]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: ENOVIA Context triple: [Dassault Systèmes, brand, ENOVIA]
-
A.
Siemens NX
Siemens NX is a high-end computer-aided design, engineering, and manufacturing (CAD/CAM/CAE) software suite widely used for complex product development in industries such as automotive and aerospace.
-
B.
PTC Creo
PTC Creo is a professional 3D CAD software suite used for product design, engineering, and simulation across manufacturing and industrial sectors.
-
C.
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.
-
D.
PDM
PDM is a modern Python package and dependency manager that emphasizes PEP 582 support and a streamlined, pyproject.toml-based workflow.
-
E.
PTC
PTC is an advanced safety system used on railroads to automatically prevent train collisions, overspeed derailments, and other dangerous movements.
- 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_69c0389f6fc881909527b928838ffcdd |
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.