Triple
T19921575
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | DJI Avata |
E478807
|
entity |
| Predicate | cameraMaxFrameRate4K |
P68881
|
FINISHED |
| Object | 60 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: 60 fps | Statement: [DJI Avata, cameraMaxFrameRate4K, 60 fps]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: cameraMaxFrameRate4K Context triple: [DJI Avata, cameraMaxFrameRate4K, 60 fps]
-
A.
propertyType_maxFramerate
chosen
Indicates the maximum frame rate value that the property can support or is configured to allow.
-
B.
supports4KVideoRecording
Indicates that the subject is capable of recording video at 4K (Ultra HD) resolution.
-
C.
4KRecommendedBandwidth
Indicates the amount of network bandwidth that is recommended to reliably stream or deliver 4K (ultra-high-definition) content.
-
D.
hasMaxMacroblocksPerSecond
Indicates the maximum number of macroblocks that can be processed or handled per second in a given context.
-
E.
bluRayMaxBitrate
Indicates the maximum data transfer rate at which a Blu-ray disc or Blu-ray media stream can be encoded or played back.
- 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.