Triple
T5150543
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Very Long Baseline Interferometry |
E116182
|
entity |
| Predicate | instanceOf |
P0
|
FINISHED |
| Object | geodetic measurement technique |
C13493
|
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: geodetic measurement technique Context triple: [Very Long Baseline Interferometry, instanceOf, geodetic measurement technique]
-
A.
geodetic survey
A geodetic survey is a precise method of measuring and mapping large areas of the Earth's surface that accounts for its curvature and gravitational variations to establish accurate positions, elevations, and reference frameworks.
-
B.
geodetic coordinate system
A geodetic coordinate system is a reference framework that specifies locations on or near the Earth's surface using latitude, longitude, and often height relative to a defined ellipsoidal model of the Earth.
-
C.
geodetic datum
A geodetic datum is a reference framework consisting of a defined origin, orientation, and scale used to precisely locate points on the Earth’s surface in terms of latitude, longitude, and elevation.
-
D.
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.
-
E.
high-precision measurement
chosen
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.
- 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_69bd445d94788190b72e2cc563120995 |
completed | March 20, 2026, 12:58 p.m. |
Created at: March 20, 2026, 1:44 p.m.