Triple
T11208820
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Swift PR.6 |
E265248
|
entity |
| Predicate | instanceOf |
P0
|
FINISHED |
| Object | photo-reconnaissance aircraft |
C4000
|
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: photo-reconnaissance aircraft Context triple: [Swift PR.6, instanceOf, photo-reconnaissance aircraft]
-
A.
reconnaissance aircraft
chosen
A reconnaissance aircraft is a specialized military or intelligence-gathering airplane designed to observe, monitor, and collect information about enemy forces, terrain, or strategic targets using advanced sensors and surveillance equipment.
-
B.
photographic reconnaissance unit
A photographic reconnaissance unit is a military organization equipped and trained to capture, process, and interpret aerial or ground imagery for intelligence and operational planning.
-
C.
military aircraft
A military aircraft is a powered flying vehicle specifically designed, equipped, and operated by armed forces to conduct combat, support, reconnaissance, or training missions in defense and warfare operations.
-
D.
signals intelligence aircraft
A signals intelligence aircraft is a specialized military or government plane equipped with advanced sensors and systems to intercept, collect, and analyze electronic communications and emissions for intelligence purposes.
-
E.
aerial photography archive
A curated collection of aerial photographs systematically organized to document and provide access to visual records of landscapes, structures, and geographic changes over time.
- 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_69d6aac59460819089b9848b27f57848 |
completed | April 8, 2026, 7:21 p.m. |
Created at: April 8, 2026, 9:30 p.m.