Triple
T37537916
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | UHDTV2 |
E933254
|
entity |
| Predicate | supportsSamplingStructure |
P39917
|
FINISHED |
| Object | 4:2:0 YCbCr |
—
|
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: 4:2:0 YCbCr | Statement: [UHDTV2, supportsSamplingStructure, 4:2:0 YCbCr]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: supportsSamplingStructure Context triple: [UHDTV2, supportsSamplingStructure, 4:2:0 YCbCr]
-
A.
hasSamplingOption
Indicates that an entity is associated with a specific method or configuration for selecting a subset (sample) from a larger set of data or items.
-
B.
hasSampling
Indicates that one entity performs, involves, or is associated with the act or process of sampling in relation to another entity.
-
C.
supportsColorSampling
chosen
Indicates that one entity can perform or accommodate color sampling operations on another entity or its data.
-
D.
usesSamplingOf
Indicates that one entity employs or relies on a sample or subset derived from another entity for its operation, analysis, or processing.
-
E.
usesSamplingOrInterpolation
Indicates that one entity applies sampling or interpolation techniques to obtain or approximate values from another entity or dataset.
- 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_69f76ec999288190ae26ec7b6aea7046 |
completed | May 3, 2026, 3:50 p.m. |
| NER | Named-entity recognition | batch_6a037c8efcd4819088c2aeead65d93df |
completed | May 12, 2026, 7:16 p.m. |
| PD | Predicate disambiguation | batch_6a037a1553e08190bb7424c448cb1f33 |
completed | May 12, 2026, 7:05 p.m. |
Created at: May 3, 2026, 4:17 p.m.