Triple
T32333957
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Infotech Oulu |
E826122
|
entity |
| Predicate | instanceOf |
P0
|
FINISHED |
| Object | information technology research institute |
C16706
|
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: information technology research institute Context triple: [Infotech Oulu, instanceOf, information technology research institute]
-
A.
information technology district
An information technology district is a designated urban or regional area where IT companies, infrastructure, talent, and support services are concentrated to foster innovation, collaboration, and economic growth in the technology sector.
-
B.
intelligent systems research center
An intelligent systems research center is an interdisciplinary organization dedicated to advancing the theory, design, and application of AI-driven systems that can perceive, reason, learn, and act autonomously in complex environments.
-
C.
information and communications technology organization
chosen
An information and communications technology organization is an entity that develops, manages, or delivers digital and networked technologies, services, and infrastructure to enable electronic communication, data processing, and information exchange.
-
D.
machine learning research institute
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.
-
E.
intelligence research agency
An intelligence research agency is an organization dedicated to systematically collecting, analyzing, and interpreting information to produce actionable insights for strategic, security, or policy decision-making.
- 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_69f34913d9048190befaa634025232be |
completed | April 30, 2026, 12:20 p.m. |
Created at: May 1, 2026, 12:47 a.m.