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.