Triple
T37051942
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Digital Visual Interface |
E917071
|
entity |
| Predicate | maximumResolutionSingleLink |
P38745
|
FINISHED |
| Object | 1920×1200 at 60 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: 1920×1200 at 60 Hz | Statement: [Digital Visual Interface, maximumResolutionSingleLink, 1920×1200 at 60 Hz]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: maximumResolutionSingleLink Context triple: [Digital Visual Interface, maximumResolutionSingleLink, 1920×1200 at 60 Hz]
-
A.
maximumResolution
chosen
Indicates the highest level of detail or fineness at which something (such as an image, display, or measurement) can be represented or processed.
-
B.
maximumAperture
Indicates the widest opening size that an optical system (such as a lens) can achieve to allow light to pass through.
-
C.
maximumSegmentLength
Indicates the greatest allowable or observed length of a segment within a given context or structure.
-
D.
maximumMagnification
Indicates the highest level to which something can be magnified or enlarged relative to its original size.
-
E.
maxSingleCanalLength
Indicates the maximum length of any single canal segment associated with an entity.
- 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_69f76e94d0308190a3f06890e133c88e |
completed | May 3, 2026, 3:49 p.m. |
| NER | Named-entity recognition | batch_69fd76d1e5208190a6f26651492d1e3c |
completed | May 8, 2026, 5:38 a.m. |
| PD | Predicate disambiguation | batch_69fd702a226c81908edfda00f4be4130 |
completed | May 8, 2026, 5:10 a.m. |
Created at: May 3, 2026, 4:14 p.m.