Triple
T4436608
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | G.729 |
E95665
|
entity |
| Predicate | frameDuration |
P56006
|
FINISHED |
| Object | 10 ms |
—
|
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: 10 ms | Statement: [G.729, frameDuration, 10 ms]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: frameDuration Context triple: [G.729, frameDuration, 10 ms]
-
A.
originalFrameRate
Indicates the frame rate at which the original media content was captured or encoded before any conversion or processing.
-
B.
frameSize
Indicates the size or dimensions of a frame associated with an entity.
-
C.
fieldsPerFrame
Indicates the number of discrete fields that compose each video frame in an interlaced video signal.
-
D.
timeFrameSpecified
Indicates that a specific temporal period or duration has been explicitly defined or constrained for the related event, action, or relationship.
-
E.
frameType
Indicates the specific structural or categorical kind of frame associated with an entity or relation.
- F. None of above. chosen
Provenance (4 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_69b3453ea2b48190a26f154b3b8fece5 |
completed | March 12, 2026, 10:59 p.m. |
| NER | Named-entity recognition | batch_69b3558b1d4481909060ede5e0ded4bc |
completed | March 13, 2026, 12:08 a.m. |
| PD | Predicate disambiguation | batch_69b34f6078cc8190831b89f404198cc5 |
completed | March 12, 2026, 11:42 p.m. |
| PDg | Predicate description generation | batch_69b3505a87b4819083fbbd58870e520b |
completed | March 12, 2026, 11:46 p.m. |
Created at: March 12, 2026, 11:31 p.m.