Triple
T30811281
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Nikon Z 9 |
E784650
|
entity |
| Predicate | rawVideoSupport |
P170113
|
FINISHED |
| Object | N-RAW internal recording |
—
|
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: N-RAW internal recording | Statement: [Nikon Z 9, rawVideoSupport, N-RAW internal recording]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: rawVideoSupport Context triple: [Nikon Z 9, rawVideoSupport, N-RAW internal recording]
-
A.
rawVideoFormats
chosen
Indicates that an entity supports or is associated with one or more uncompressed or minimally processed (raw) video file formats.
-
B.
rawVideoOutput
Indicates that an entity produces or provides unprocessed, uncompressed, or minimally processed video signal as output.
-
C.
supportsVideoPlayback
Indicates that an entity is capable of playing or rendering video content.
-
D.
supportsInterlacedVideo
Indicates that an entity is capable of handling, processing, or displaying interlaced video signals.
-
E.
supportsProResVideo
Indicates that one entity provides the capability for another entity to record, process, or handle video in the ProRes format.
- 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_69f224b4eda48190bd212ce4f3901e56 |
completed | April 29, 2026, 3:33 p.m. |
| NER | Named-entity recognition | batch_69f697eabb048190bc01a830f14942c6 |
completed | May 3, 2026, 12:33 a.m. |
| PD | Predicate disambiguation | batch_69f69664142c8190bc695501056b0236 |
completed | May 3, 2026, 12:27 a.m. |
Created at: April 29, 2026, 8:43 p.m.