Triple
T33393520
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | National Hydrography Dataset |
E855112
|
entity |
| Predicate | instanceOf |
P0
|
FINISHED |
| Object | United States government dataset |
C61692
|
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: United States government dataset Context triple: [National Hydrography Dataset, instanceOf, United States government dataset]
-
A.
United States federal government database
A United States federal government database is an official, centrally managed digital repository that stores, organizes, and provides controlled access to data collected or maintained by federal agencies for governance, regulatory, research, and public transparency purposes.
-
B.
federal government database
A federal government database is a centralized, secure digital repository used by national government agencies to store, manage, and retrieve official records, data, and information for administrative, regulatory, and public service purposes.
-
C.
federal government database
A federal government database is a centralized, electronically managed collection of structured data maintained by national government agencies to store, process, and retrieve information for administrative, regulatory, and public service purposes.
-
D.
NASA dataset
A NASA dataset is a structured collection of scientific and observational data produced or curated by NASA, typically used for research, analysis, and mission support in areas such as Earth science, astronomy, and space exploration.
-
E.
federal data repository
A federal data repository is a centralized, government-managed system for collecting, storing, and providing controlled access to official datasets for analysis, oversight, and public use.
- F. None of above. chosen
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_69f3496e3f1c8190bcecfa82aa9d17ff |
completed | April 30, 2026, 12:22 p.m. |
Created at: May 1, 2026, 1:35 a.m.