Triple
T33393518
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | National Hydrography Dataset |
E855112
|
entity |
| Predicate | instanceOf |
P0
|
FINISHED |
| Object | hydrographic dataset |
C59190
|
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: hydrographic dataset Context triple: [National Hydrography Dataset, instanceOf, hydrographic dataset]
-
A.
hydrographic data model
A hydrographic data model is a structured representation of water-related geographic features, measurements, and relationships used to store, analyze, and manage hydrographic information such as rivers, lakes, coastlines, and bathymetry.
-
B.
hydrographic data standard
A hydrographic data standard is a formal specification that defines consistent formats, structures, and protocols for collecting, storing, exchanging, and interpreting water-related geographic and oceanographic information.
-
C.
hydrographic metadata framework
A hydrographic metadata framework is a structured system for defining, organizing, and managing standardized information about the collection, quality, and characteristics of hydrographic data such as bathymetry, currents, and tides.
-
D.
hydrographic product specification
A hydrographic product specification is a formal document that defines the content, structure, format, and quality requirements for hydrographic data and chart products to ensure consistency, interoperability, and suitability for their intended maritime use.
-
E.
hydrographic standard
A hydrographic standard is an agreed-upon specification or set of rules that defines how water-related geographic data (such as depths, coastlines, and navigational features) are measured, recorded, formatted, and shared to ensure consistency and interoperability.
- 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.