Triple
T23219774
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | DSS-23 |
E580853
|
entity |
| Predicate | instanceOf |
P0
|
FINISHED |
| Object | NASA Deep Space Network antenna |
C19969
|
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: NASA Deep Space Network antenna Context triple: [DSS-23, instanceOf, NASA Deep Space Network antenna]
-
A.
deep space communications facility
chosen
A deep space communications facility is a ground-based complex equipped with large antennas, high-power transmitters, and sensitive receivers used to send commands to and receive data from spacecraft operating far beyond Earth's orbit.
-
B.
NASA network
A NASA network is an interconnected system of communication, data, and computing resources that links NASA’s spacecraft, ground stations, research centers, and partner organizations to support space missions and scientific operations.
-
C.
VLBI radio satellite
A VLBI radio satellite is a space-based observatory that precisely records radio signals from cosmic sources in coordination with ground telescopes to form an extremely large virtual antenna for high-resolution astronomical imaging and measurements.
-
D.
space communication network
A space communication network is an interconnected system of ground stations, satellites, and relay nodes that enables the reliable transmission, routing, and reception of data across space and between space-based and terrestrial assets.
-
E.
parabolic antenna
A parabolic antenna is a high-gain directional antenna that uses a parabolic reflector to focus incoming or outgoing radio waves into a narrow beam for long-distance communication or signal reception.
- 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_69e2460389408190be74f41d217799a9 |
completed | April 17, 2026, 2:38 p.m. |
Created at: April 17, 2026, 4:08 p.m.