Triple
T4763312
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Université de Strasbourg – CNRS research network |
E105749
|
entity |
| Predicate | instanceOf |
P0
|
FINISHED |
| Object | collaborative research framework |
C343
|
CONCEPT FINISHED |
How this triple was built (1 step)
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.
CD
Concept disambiguation
gpt-5-mini-2025-08-07
Target class: collaborative research framework Context triple: [Université de Strasbourg – CNRS research network, instanceOf, collaborative research framework]
-
A.
multidisciplinary framework
A multidisciplinary framework is an integrated structure that combines theories, methods, and perspectives from multiple academic or professional fields to address complex problems more comprehensively.
-
B.
collaborative project
A collaborative project is a coordinated effort in which multiple individuals or groups work together, sharing responsibilities, resources, and expertise to achieve a common goal.
-
C.
research consortium
chosen
A research consortium is a collaborative alliance of multiple organizations or institutions that pool resources, expertise, and infrastructure to conduct joint research toward shared scientific or technological goals.
-
D.
data sharing framework
A data sharing framework is a structured set of policies, standards, and technical mechanisms that governs how data is securely, ethically, and interoperably exchanged between parties.
-
E.
intergovernmental working group framework
An intergovernmental working group framework is a structured, collaborative arrangement through which multiple governments coordinate, negotiate, and develop joint policies, standards, or actions on shared issues.
- F. None of above.
Provenance (1 batch)
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_69bd43f14cac819081c7c69803648211 |
completed | March 20, 2026, 12:56 p.m. |
Created at: March 20, 2026, 1:20 p.m.