Triple
T13225765
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | CCIR System B |
E314876
|
entity |
| Predicate | verticalFrameFrequency |
P104354
|
FINISHED |
| Object | 25 Hz |
—
|
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: 25 Hz | Statement: [CCIR System B, verticalFrameFrequency, 25 Hz]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: verticalFrameFrequency Context triple: [CCIR System B, verticalFrameFrequency, 25 Hz]
-
A.
frameDuration
Indicates the length of time that a single frame in a sequence (such as video or animation) is displayed before advancing to the next frame.
-
B.
displayFrequency
chosen
Indicates how often something is shown or presented within a given context or time period.
-
C.
originalFrameRate
Indicates the frame rate at which the original media content was captured or encoded before any conversion or processing.
-
D.
frequency
Indicates how often an event, action, or relationship occurs within a given period or context.
-
E.
frame
Indicates placing or presenting something within a particular context, structure, or perspective that shapes how it is interpreted.
- 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_69d806affc688190a25b6ccc588e9c72 |
completed | April 9, 2026, 8:06 p.m. |
| NER | Named-entity recognition | batch_69d98d3128348190836158467e9cfbe2 |
completed | April 10, 2026, 11:52 p.m. |
| PD | Predicate disambiguation | batch_69d98bcb21648190aef241de1e7887e2 |
completed | April 10, 2026, 11:46 p.m. |
Created at: April 9, 2026, 9:19 p.m.