Triple
T36486310
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Chandra’s Altitudinal Composition Explorer |
E898941
|
entity |
| Predicate | instanceOf |
P0
|
FINISHED |
| Object | lunar science payload |
C26884
|
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 science payload Context triple: [Chandra’s Altitudinal Composition Explorer, instanceOf, lunar science payload]
-
A.
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.
-
B.
payload on lunar orbiter
chosen
The payload on a lunar orbiter is the suite of scientific instruments and equipment carried by the spacecraft to observe, measure, and analyze the Moon and its environment.
-
C.
lunar seismic experiment
A lunar seismic experiment is a scientific investigation that deploys seismometers on the Moon’s surface to measure and analyze moonquakes and other seismic vibrations, revealing the Moon’s internal structure and geologic activity.
-
D.
lunar orbiter mission
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.
-
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_69f76e5ad4588190bdbce60c52fbb785 |
completed | May 3, 2026, 3:48 p.m. |
Created at: May 3, 2026, 4:10 p.m.