Triple
T6327694
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Real-time Kinematic Positioning |
E141899
|
entity |
| Predicate | instanceOf |
P0
|
FINISHED |
| Object | high-precision positioning technique |
C20326
|
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: high-precision positioning technique Context triple: [Real-time Kinematic Positioning, instanceOf, high-precision positioning technique]
-
A.
high-precision measurement
High-precision measurement is the process of quantifying a physical quantity with extremely low uncertainty and high repeatability, often using specialized instruments and rigorous calibration to ensure accurate and reliable results.
-
B.
GNSS reference network
A GNSS reference network is a coordinated system of continuously operating GNSS stations that provide precise, stable positioning and timing references for surveying, navigation, and geospatial applications.
-
C.
Global Navigation Satellite System
A Global Navigation Satellite System is a satellite-based infrastructure that provides continuous, worldwide positioning, navigation, and timing services to receivers on or near Earth’s surface.
-
D.
high-dynamic-range imaging technology
High-dynamic-range imaging technology is a method of capturing, processing, and displaying images with a wider range of luminance and color than standard imaging, preserving detail in both very bright and very dark areas.
-
E.
multi-carrier modulation technique
A multi-carrier modulation technique is a method of transmitting data by dividing it across multiple closely spaced subcarriers, each modulated with a portion of the data stream to improve spectral efficiency and robustness against channel impairments.
- 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_69c008d201748190917e69c41ba3f978 |
completed | March 22, 2026, 3:20 p.m. |
Created at: March 22, 2026, 4:29 p.m.