Triple
T37480167
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | UHDTV1 |
E931391
|
entity |
| Predicate | hasTotalPixels |
P49584
|
FINISHED |
| Object | approximately 8.3 megapixels |
—
|
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: approximately 8.3 megapixels | Statement: [UHDTV1, hasTotalPixels, approximately 8.3 megapixels]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasTotalPixels Context triple: [UHDTV1, hasTotalPixels, approximately 8.3 megapixels]
-
A.
hasPixelPitch
Indicates the distance between adjacent pixels in a display or image sensor, typically measured from center to center.
-
B.
hasTotalSize
Indicates that an entity possesses or is associated with a specific overall size or aggregate measurement.
-
C.
pixelCount
chosen
Indicates the total number of individual pixels that make up a given image or visual element.
-
D.
hasDrawSize
Indicates the size or dimensions used when rendering or drawing an entity.
-
E.
hasTotalNumber
Indicates that an entity is associated with a specific overall count or sum of items, elements, or units.
- 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_69f76ec382248190b47844df596123c6 |
completed | May 3, 2026, 3:50 p.m. |
| NER | Named-entity recognition | batch_69fd884cb2b48190b6acd473430d9e19 |
completed | May 8, 2026, 6:53 a.m. |
| PD | Predicate disambiguation | batch_69fd8709ca208190a8bab836f0156af5 |
completed | May 8, 2026, 6:47 a.m. |
Created at: May 3, 2026, 4:17 p.m.