Triple
T8972441
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | ADAPT Centre |
E214299
|
entity |
| Predicate | instanceOf |
P0
|
FINISHED |
| Object | artificial intelligence research centre |
C23578
|
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: artificial intelligence research centre Context triple: [ADAPT Centre, instanceOf, artificial intelligence research centre]
-
A.
machine learning research institute
chosen
A machine learning research institute is an organization dedicated to advancing the theory, algorithms, and applications of machine learning through systematic research, experimentation, and collaboration.
-
B.
artificial intelligence
Artificial intelligence is a field of computer science focused on creating systems that can perform tasks that typically require human intelligence, such as learning, reasoning, perception, and decision-making.
-
C.
research and engagement centre
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.
-
D.
linguistics research center
A linguistics research center is an institution dedicated to the systematic study, analysis, and advancement of knowledge about language structure, use, acquisition, and change.
-
E.
test of machine intelligence
A test of machine intelligence is a systematic procedure or set of tasks designed to evaluate a machine's ability to exhibit behaviors or problem-solving capabilities that are typically associated with human cognitive processes.
- 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_69ca839dbf608190a2f5990477115d29 |
completed | March 30, 2026, 2:07 p.m. |
Created at: March 30, 2026, 7:02 p.m.