Triple
T29468490
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Apollo missions (far-side imaging) |
E747446
|
entity |
| Predicate | instanceOf |
P0
|
FINISHED |
| Object | lunar far-side imaging campaign |
C28990
|
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: lunar far-side imaging campaign Context triple: [Apollo missions (far-side imaging), instanceOf, lunar far-side imaging campaign]
-
A.
lunar orbiter mission
chosen
A lunar orbiter mission is a spaceflight operation in which a spacecraft is placed into orbit around the Moon to conduct sustained observations, measurements, and communications for scientific, exploration, or operational objectives.
-
B.
lunar radar instrument
A lunar radar instrument is a device designed to transmit radio waves toward the Moon and analyze their echoes to map surface and subsurface features, determine composition, and study lunar structure.
-
C.
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.
-
D.
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.
-
E.
lunar surface feature
A lunar surface feature is any distinct physical formation or characteristic on the Moon’s exterior, such as craters, maria, mountains, rilles, or valleys, identifiable by its shape, size, and location.
- 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_69f0bd42cf308190bb01b20bc5b7c2d0 |
completed | April 28, 2026, 1:59 p.m. |
Created at: April 28, 2026, 3:55 p.m.