Triple
T30287749
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | ADAPT SFI Research Centre for AI-Driven Digital Content Technology |
E770283
|
entity |
| Predicate | instanceOf |
P0
|
FINISHED |
| Object | digital media research centre |
C11789
|
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: digital media research centre Context triple: [ADAPT SFI Research Centre for AI-Driven Digital Content Technology, instanceOf, digital media research centre]
-
A.
research and engagement centre
chosen
A research and engagement centre is an institution that conducts systematic inquiry into specific fields while actively collaborating with and involving stakeholders or communities to apply, share, and co-create knowledge.
-
B.
media technology researcher
A media technology researcher investigates how emerging and existing media tools, platforms, and infrastructures are designed, used, and experienced, and analyzes their social, cultural, and technical impacts.
-
C.
journalism research institute
A journalism research institute is an organization dedicated to studying news media practices, ethics, impacts, and innovations to improve the quality and understanding of journalism.
-
D.
digital scholarship hub
A digital scholarship hub is a centralized, technology-enabled environment that supports the creation, curation, analysis, and sharing of digital research and teaching outputs across disciplines.
-
E.
media studies work
A media studies work is an academic or critical piece that analyzes the production, content, technologies, and cultural impact of media forms and practices.
- 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_69f224875c288190a9b96b975006ec4a |
completed | April 29, 2026, 3:32 p.m. |
Created at: April 29, 2026, 7:46 p.m.