Triple
T32572999
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Chang’e 4 |
E832565
|
entity |
| Predicate | instanceOf |
P0
|
FINISHED |
| Object | robotic lunar exploration mission |
C30132
|
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: robotic lunar exploration mission Context triple: [Chang’e 4, instanceOf, robotic lunar exploration mission]
-
A.
lunar exploration program
A lunar exploration program is an organized, long-term initiative that plans, funds, and conducts missions to study, visit, and potentially utilize the Moon’s environment and resources.
-
B.
series of robotic lunar probes
A series of robotic lunar probes is a coordinated set of unmanned spacecraft missions designed to explore, study, and collect data from the Moon’s surface, subsurface, and environment.
-
C.
lunar sample-return mission
A lunar sample-return mission is a spaceflight endeavor designed to land on the Moon, collect geological material, and transport it safely back to Earth for detailed scientific analysis.
-
D.
unmanned lunar lander
chosen
An unmanned lunar lander is a robotic spacecraft designed to descend from lunar orbit and safely touch down on the Moon’s surface to conduct scientific experiments, deploy instruments, or support future missions without a human crew onboard.
-
E.
NASA lunar impactor mission
A NASA lunar impactor mission is a spaceflight project in which a spacecraft is deliberately crashed into the Moon’s surface to study its composition, structure, and environment through impact-generated data.
- 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_69f34927bb308190ad94da1b11cad13c |
completed | April 30, 2026, 12:20 p.m. |
Created at: May 1, 2026, 1:04 a.m.