Triple
T7935891
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | VGA |
E184287
|
entity |
| Predicate | videoInterfaceType |
P1373
|
FINISHED |
| Object | RGB analog interface |
—
|
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: RGB analog interface | Statement: [VGA, videoInterfaceType, RGB analog interface]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: videoInterfaceType Context triple: [VGA, videoInterfaceType, RGB analog interface]
-
A.
videoOutput
Indicates that one entity produces or provides video signals or content as output to another entity or medium.
-
B.
cableType
chosen
Indicates the specific kind or category of cable associated with or used by an entity.
-
C.
displayResolution
Indicates the relationship specifying the width and height dimensions at which visual content is rendered or shown on a display.
-
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.
videoQuality
Indicates the level or standard of clarity, resolution, and overall visual fidelity associated with a given video.
- 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_69ca8290c21c8190906a5ca6fe2b03c4 |
completed | March 30, 2026, 2:02 p.m. |
| NER | Named-entity recognition | batch_69cb3aede3cc81908b0d3b54e68997b9 |
completed | March 31, 2026, 3:09 a.m. |
| PD | Predicate disambiguation | batch_69cae9335f288190ba96781fd6576a2b |
completed | March 30, 2026, 9:20 p.m. |
Created at: March 30, 2026, 5:08 p.m.