Triple
T11077937
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Antares |
E261914
|
entity |
| Predicate | lunarSurfaceExperiment |
P97080
|
FINISHED |
| Object | ALSEP deployment |
—
|
LITERAL FINISHED |
How this triple was built (2 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: ALSEP deployment | Statement: [Antares, lunarSurfaceExperiment, ALSEP deployment]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: lunarSurfaceExperiment Context triple: [Antares, lunarSurfaceExperiment, ALSEP deployment]
-
A.
plannedLunarMissionType
Indicates the type or category of a lunar mission that is planned or intended to be carried out.
-
B.
timeOnLunarSurface
Indicates the duration that an entity spends on the surface of the Moon.
-
C.
evaCountOnLunarSurface
Indicates the number of extravehicular activities (spacewalks) performed on the lunar surface.
-
D.
lunarLander
Indicates a relationship in which an entity functions as or is used as a lunar lander, designed to land on the surface of the Moon.
-
E.
lunarMissionCommanded
Indicates that an entity served as the commanding leader of a specified lunar mission.
- F. None of above. chosen
Provenance (4 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_69d6aa9983c08190b0ef61603b69feac |
completed | April 8, 2026, 7:20 p.m. |
| NER | Named-entity recognition | batch_69d7999407288190a901d4a2427a2102 |
completed | April 9, 2026, 12:20 p.m. |
| PD | Predicate disambiguation | batch_69d74415403c81909778bcd829e8832e |
completed | April 9, 2026, 6:15 a.m. |
| PDg | Predicate description generation | batch_69d750ca52ec8190a559432a5de106fd |
completed | April 9, 2026, 7:10 a.m. |
Created at: April 8, 2026, 9:27 p.m.