Triple
T1448101
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Amazon Luna |
E31219
|
entity |
| Predicate | supportsMaxFrameRate |
P203
|
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: [Amazon Luna, supportsMaxFrameRate, 60 fps]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: supportsMaxFrameRate Context triple: [Amazon Luna, supportsMaxFrameRate, 60 fps]
-
A.
originalFrameRate
Indicates the frame rate at which the original media content was captured or encoded before any conversion or processing.
-
B.
supportsFeature
chosen
Indicates that one entity provides, enables, or is compatible with a particular feature or capability of another.
-
C.
displayRefreshRate
Indicates the frequency at which a display updates its visual content, typically measured in hertz (Hz).
-
D.
supportsDisplayPortAltMode
Indicates that one entity is capable of transmitting video and audio using the DisplayPort Alternate Mode over a USB-C or similar connection to another entity.
-
E.
transmissionTypeSupported
Indicates that a particular type of transmission is compatible with or can be used by a given system, device, or component.
- 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_69a499171a28819085b993a3ac78e363 |
completed | March 1, 2026, 7:52 p.m. |
| NER | Named-entity recognition | batch_69a4c55aa7dc8190aa7452d80ec8305e |
completed | March 1, 2026, 11:01 p.m. |
| PD | Predicate disambiguation | batch_69a4c47a840c819083307a65c027a19e |
completed | March 1, 2026, 10:58 p.m. |
Created at: March 1, 2026, 8 p.m.