Triple
T30358214
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Nikon FTZ mount adapter |
E772202
|
entity |
| Predicate | supportsFocusMode |
P181070
|
FINISHED |
| Object | AF-S |
—
|
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: AF-S | Statement: [Nikon FTZ mount adapter, supportsFocusMode, AF-S]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: supportsFocusMode Context triple: [Nikon FTZ mount adapter, supportsFocusMode, AF-S]
-
A.
focusModeSwitch
Indicates switching the state of an entity into or out of a designated focus mode.
-
B.
focusMode
chosen
Indicates that an entity is currently in a concentrated or distraction-minimized state directed toward a specific task, target, or context.
-
C.
hasDigitalFocus
Indicates that an entity is primarily oriented toward or centered on digital technologies, channels, or activities.
-
D.
poseFocus
Indicates that attention or emphasis is directed toward a particular pose or body position within a scene or interaction.
-
E.
supportsCameraControl
Indicates that one entity provides functionality for another entity to remotely manage or adjust camera settings or operations.
- 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_69f2248c6f5c8190a6177842bf791a3c |
completed | April 29, 2026, 3:32 p.m. |
| NER | Named-entity recognition | batch_6a037c876524819098545e6037d3107d |
completed | May 12, 2026, 7:16 p.m. |
| PD | Predicate disambiguation | batch_6a0379e2fac0819089b522db3260028c |
completed | May 12, 2026, 7:05 p.m. |
Created at: April 29, 2026, 7:57 p.m.