Triple
T1347309
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | ETH Domain |
E28800
|
entity |
| Predicate | instanceOf |
P0
|
FINISHED |
| Object | federal research and education network |
C497
|
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: federal research and education network Context triple: [ETH Domain, instanceOf, federal research and education network]
-
A.
research network
chosen
A research network is a structured system of interconnected researchers, institutions, and resources that collaboratively generate, share, and advance knowledge within and across disciplines.
-
B.
federation of government agencies
A federation of government agencies is a collaborative structure in which multiple semi-autonomous public organizations coordinate policies, resources, and operations to achieve shared governmental objectives while retaining their individual mandates.
-
C.
global computer network
A global computer network is a worldwide system of interconnected computers and devices that communicate using standardized protocols to share data and resources across vast distances.
-
D.
federal institution
A federal institution is an organization established and operated by a national government to implement, regulate, or support public policies and services across the entire country.
-
E.
ARPANET node
An ARPANET node is a computer or host system connected to the ARPANET network that sends, receives, and routes data packets using early packet-switching protocols.
- 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_69a498571d248190a0ac9eb02d97097f |
completed | March 1, 2026, 7:49 p.m. |
Created at: March 1, 2026, 7:56 p.m.