Triple
T30698667
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Nikon Z 7II |
E781548
|
entity |
| Predicate | supportsAnimalDetectionAF |
—
|
GENERATED |
| Object | true |
—
|
UNRECOGNIZED GENERATED |
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.
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: supportsAnimalDetectionAF Context triple: [Nikon Z 7II, supportsAnimalDetectionAF, true]
-
A.
hasAnimalDetectionAF
chosen
Indicates that an entity possesses or is associated with an animal-detection autofocus capability.
-
B.
hasFaceDetectionAF
Indicates that an entity supports or uses autofocus functionality based on detecting human faces in the frame.
-
C.
hasDigitalFocus
Indicates that an entity is primarily oriented toward or centered on digital technologies, channels, or activities.
-
D.
aimsToDetect
Indicates an intention or designed purpose to discover, identify, or recognize the presence or characteristics of something.
-
E.
supportsRealTimeEyeAF
Indicates that the subject provides real-time autofocus functionality specifically for tracking and focusing on a subject’s eyes.
- 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_69f224ab24e08190991d6edb6df58e8b |
completed | April 29, 2026, 3:32 p.m. |
Created at: April 29, 2026, 8:34 p.m.