Triple
T146287
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | OpenAI |
E3337
|
entity |
| Predicate | instanceOf |
P0
|
FINISHED |
| Object | artificial intelligence research organization |
C187
|
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 organization Context triple: [OpenAI, instanceOf, artificial intelligence research organization]
-
A.
research and development organization
A research and development organization is an entity dedicated to systematically investigating ideas and technologies to create new knowledge, products, or processes and improve existing ones.
-
B.
research organization
chosen
A research organization is an institution that systematically investigates specific questions or problems to generate new knowledge, technologies, or insights, often within scientific, academic, or applied domains.
-
C.
research consortium
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.
research facility
A research facility is a specialized institution equipped with laboratories, instruments, and resources where scientists and experts systematically investigate, experiment, and develop new knowledge or technologies.
-
E.
research network
A research network is a structured system of interconnected researchers, institutions, and resources that collaboratively generate, share, and advance knowledge within and across disciplines.
- 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_69a252868de4819080e21c9938bfe8b6 |
completed | Feb. 28, 2026, 2:27 a.m. |
Created at: Feb. 28, 2026, 2:31 a.m.