Triple
T14390396
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | United Nations E-Government Survey |
E356823
|
entity |
| Predicate | instanceOf |
P0
|
FINISHED |
| Object | e-government assessment |
C29061
|
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: e-government assessment Context triple: [United Nations E-Government Survey, instanceOf, e-government assessment]
-
A.
e-government program
chosen
An e-government program is an organized initiative that uses digital technologies to deliver public services, enhance government operations, and improve interaction between government, citizens, and businesses.
-
B.
data-driven government program
A data-driven government program is an initiative that systematically collects, analyzes, and applies data to design, implement, and continuously improve public policies and services for better outcomes and accountability.
-
C.
public administration
Public administration is the field and practice of implementing government policies, managing public programs, and coordinating resources and personnel to serve the public interest and promote effective governance.
-
D.
government operation
Government operation is the coordinated set of activities, processes, and procedures through which a government implements laws, delivers public services, and manages public resources to achieve policy objectives.
-
E.
legal framework for federal information resources management
A legal framework for federal information resources management is the set of laws, regulations, and policies that govern how federal agencies plan, acquire, secure, use, share, and dispose of information and information technology to ensure efficiency, accountability, and protection of government data and services.
- 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_69d827927c988190ad98bb0360981783 |
completed | April 9, 2026, 10:26 p.m. |
Created at: April 10, 2026, 1:16 a.m.