Triple
T1635705
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | MDA |
E35355
|
entity |
| Predicate | verticalRefreshRate |
P17633
|
FINISHED |
| Object | 50 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: 50 Hz | Statement: [MDA, verticalRefreshRate, 50 Hz]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: verticalRefreshRate Context triple: [MDA, verticalRefreshRate, 50 Hz]
-
A.
displayRefreshRate
chosen
Indicates the frequency at which a display updates its visual content, typically measured in hertz (Hz).
-
B.
displayResolution
Indicates the relationship specifying the width and height dimensions at which visual content is rendered or shown on a display.
-
C.
displays
Indicates that one entity visually presents or shows another entity’s content or information.
-
D.
originalFrameRate
Indicates the frame rate at which the original media content was captured or encoded before any conversion or processing.
-
E.
verticalExtent
Indicates the total height or vertical span of an entity or region from its lowest to highest point.
- 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_69a886036bc081909ff5de16dbe5e8ea |
completed | March 4, 2026, 7:20 p.m. |
| NER | Named-entity recognition | batch_69a96083e7308190abbf025fe8e43abb |
completed | March 5, 2026, 10:52 a.m. |
| PD | Predicate disambiguation | batch_69a907cac610819083cafd4396b6d66c |
completed | March 5, 2026, 4:34 a.m. |
Created at: March 4, 2026, 7:28 p.m.