Triple
T16297025
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Lunar Orbiter program |
E395674
|
entity |
| Predicate | imageCoverage |
P1987
|
FINISHED |
| Object | about 99 percent of the lunar near side |
—
|
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: about 99 percent of the lunar near side | Statement: [Lunar Orbiter program, imageCoverage, about 99 percent of the lunar near side]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: imageCoverage Context triple: [Lunar Orbiter program, imageCoverage, about 99 percent of the lunar near side]
-
A.
stageCoverage
Indicates that one entity provides or has coverage, representation, or support for another within a particular stage or phase of a process or workflow.
-
B.
sensorCoverage
Indicates that a sensor’s detection or monitoring area spatially covers or includes a given region, object, or point.
-
C.
mapCoverage
chosen
Indicates the extent or area that is represented, covered, or included by a particular map.
-
D.
surfaceCover
Indicates that one entity forms the material or layer that covers the outer surface of another entity.
-
E.
digitalCoverage
Indicates that one entity provides or has access to digital services, connectivity, or online resources for another entity or within a specified area.
- F. None of above.
Provenance (3 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_69d87f23bb088190a16fbb91a1957ea5 |
completed | April 10, 2026, 4:40 a.m. |
| NER | Named-entity recognition | batch_69e25e2dcdac819083918f0964dd5666 |
completed | April 17, 2026, 4:22 p.m. |
| PD | Predicate disambiguation | batch_69e219fa5508819097e9d383348bf174 |
completed | April 17, 2026, 11:31 a.m. |
Created at: April 10, 2026, 5:06 a.m.