Triple
T19921577
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | DJI Avata |
E478807
|
entity |
| Predicate | cameraMaxFrameRate1080p |
P68881
|
FINISHED |
| Object | 120 fps |
—
|
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: 120 fps | Statement: [DJI Avata, cameraMaxFrameRate1080p, 120 fps]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: cameraMaxFrameRate1080p Context triple: [DJI Avata, cameraMaxFrameRate1080p, 120 fps]
-
A.
propertyType_maxFramerate
chosen
Indicates the maximum frame rate value that the property can support or is configured to allow.
-
B.
hasMaxMacroblocksPerSecond
Indicates the maximum number of macroblocks that can be processed or handled per second in a given context.
-
C.
maximumShutterSpeed
Indicates the highest shutter speed value that can be set or achieved in a given photographic or imaging context.
-
D.
commonFrameRate
Indicates that two or more media items share the same frame rate.
-
E.
maximumBitrate
Indicates the highest data transfer rate allowed or supported for a given media stream or connection.
- 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_69d8e521855c8190b41871700afc8d6a |
completed | April 10, 2026, 11:55 a.m. |
| NER | Named-entity recognition | batch_69e659c6919c8190a96106532580b6b6 |
completed | April 20, 2026, 4:52 p.m. |
| PD | Predicate disambiguation | batch_69e537f070b481908958e0e5911dcdc1 |
completed | April 19, 2026, 8:15 p.m. |
Created at: April 10, 2026, 1:53 p.m.