Triple
T5933992
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Dassault Systèmes |
E131999
|
entity |
| Predicate | hasSubsidiary |
P254
|
FINISHED |
| Object | Accelrys (BIOVIA) |
E556335
|
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: Accelrys (BIOVIA) | Statement: [Dassault Systèmes, hasSubsidiary, Accelrys (BIOVIA)]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Accelrys (BIOVIA) Context triple: [Dassault Systèmes, hasSubsidiary, Accelrys (BIOVIA)]
-
A.
BIOVIA
chosen
BIOVIA is a Dassault Systèmes software brand focused on scientific informatics and molecular modeling solutions for life sciences, materials science, and chemistry.
-
B.
Rockwell Software
Rockwell Software is a business unit of Rockwell Automation that develops industrial automation and manufacturing execution system (MES) software solutions.
-
C.
AquaLogic Pathways
AquaLogic Pathways is a BEA AquaLogic product module that provides business process and workflow management capabilities within the AquaLogic SOA platform.
-
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.
Lonza
Lonza is a global Swiss-based life sciences company specializing in pharmaceutical, biotech, and nutrition products and services, particularly in contract development and manufacturing.
- 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_69c0e3affd748190a37e3cc60e58d6a6 |
completed | March 23, 2026, 6:54 a.m. |
Created at: March 22, 2026, 4 p.m.