Triple
T18367236
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Selenological and Engineering Explorer |
E440078
|
entity |
| Predicate | carriedInstrument |
P24804
|
FINISHED |
| Object | Lunar Imager/Spectrometer |
—
|
NE NERFINISHED |
How this triple was built (3 steps)
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.
NER
Named-entity recognition
gpt-5-mini
Instruction
Given a phrase, classify it is english named entity (e.g., persons, organizations, works of art) in Latin script, or not (e.g., literals, dates, URLs, verbose phrases). For disambiguation, the statement where the phrase occurs as object is also given. Please return a JSON object with `phrase` (string, the phrase being analyzed) and `is_ne` (boolean, indicating whether the phrase is a Named Entity).
Input
Phrase: Lunar Imager/Spectrometer | Statement: [Selenological and Engineering Explorer, carriedInstrument, Lunar Imager/Spectrometer]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Lunar Imager/Spectrometer Context triple: [Selenological and Engineering Explorer, carriedInstrument, Lunar Imager/Spectrometer]
-
A.
Lunar Orbiter Laser Altimeter
The Lunar Orbiter Laser Altimeter is a laser-based mapping instrument that precisely measures the Moon’s surface topography and shape from lunar orbit.
-
B.
Lunar Reconnaissance Orbiter Camera
The Lunar Reconnaissance Orbiter Camera is a high-resolution imaging system aboard NASA’s Lunar Reconnaissance Orbiter that maps the Moon’s surface in detail to support scientific research and future exploration.
-
C.
Lunar Reconnaissance Orbiter Mini-RF instrument
The Lunar Reconnaissance Orbiter Mini-RF instrument is a synthetic aperture radar payload designed to map the Moon’s surface and search for water ice, particularly in permanently shadowed polar regions.
-
D.
Moon Mineralogy Mapper
Moon Mineralogy Mapper is a NASA-designed imaging spectrometer that mapped the Moon’s surface composition in detail, notably helping confirm the presence of water and hydroxyl on the lunar surface.
-
E.
Lunar Atmospheric Composition Experiment
The Lunar Atmospheric Composition Experiment was a scientific instrument deployed during the Apollo 17 mission to measure and analyze the extremely tenuous lunar atmosphere.
- F. None of above. chosen
- G. Unsure - the case is ambiguous/there is not enough information to decide.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Lunar Imager/Spectrometer Target entity description: The Lunar Imager/Spectrometer is a scientific instrument designed to capture detailed images and spectral data of the Moon’s surface for geological and compositional analysis.
-
A.
Lunar Orbiter Laser Altimeter
The Lunar Orbiter Laser Altimeter is a laser-based mapping instrument that precisely measures the Moon’s surface topography and shape from lunar orbit.
-
B.
Lunar Reconnaissance Orbiter Camera
The Lunar Reconnaissance Orbiter Camera is a high-resolution imaging system aboard NASA’s Lunar Reconnaissance Orbiter that maps the Moon’s surface in detail to support scientific research and future exploration.
-
C.
Lunar Reconnaissance Orbiter Mini-RF instrument
The Lunar Reconnaissance Orbiter Mini-RF instrument is a synthetic aperture radar payload designed to map the Moon’s surface and search for water ice, particularly in permanently shadowed polar regions.
-
D.
Moon Mineralogy Mapper
Moon Mineralogy Mapper is a NASA-designed imaging spectrometer that mapped the Moon’s surface composition in detail, notably helping confirm the presence of water and hydroxyl on the lunar surface.
-
E.
Lunar Atmospheric Composition Experiment
The Lunar Atmospheric Composition Experiment was a scientific instrument deployed during the Apollo 17 mission to measure and analyze the extremely tenuous lunar atmosphere.
- F. None of above. chosen
Provenance (2 batches)
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_69d8b918221c8190a9f7b563d64ac677 |
completed | April 10, 2026, 8:47 a.m. |
| NER | Named-entity recognition | batch_69e5174f5f448190a1fc67d3039aadd9 |
completed | April 19, 2026, 5:56 p.m. |
Created at: April 10, 2026, 10:38 a.m.