Triple
T28711327
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | APT |
E729838
|
entity |
| Predicate | imageEncoding |
P166236
|
FINISHED |
| Object | line-by-line analog video |
—
|
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: line-by-line analog video | Statement: [APT, imageEncoding, line-by-line analog video]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: imageEncoding Context triple: [APT, imageEncoding, line-by-line analog video]
-
A.
imageEncoderType
Indicates the specific kind or configuration of encoder used to process and represent image data.
-
B.
colorEncoding
Indicates how the color information of an entity is represented, formatted, or encoded.
-
C.
colorEncodingMethod
Indicates the method or scheme used to represent or encode color information.
-
D.
videoEncoding
Indicates that one entity is used to encode, compress, or transform video data into a particular digital format or representation for another entity.
-
E.
encodingLibrary
Indicates that one entity is the software library or tool used to encode, transform, or serialize the other entity’s data or content.
- F. None of above. chosen
Provenance (4 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_69f043e7d5a4819094b18aca10b1e024 |
completed | April 28, 2026, 5:21 a.m. |
| NER | Named-entity recognition | batch_69f66003a3f48190a2ba6da5aafbb5cb |
completed | May 2, 2026, 8:35 p.m. |
| PD | Predicate disambiguation | batch_69f65c2198208190a3954086c22cfcbf |
completed | May 2, 2026, 8:18 p.m. |
| PDg | Predicate description generation | batch_69f65f75ac608190a62cd6afce14f68e |
completed | May 2, 2026, 8:32 p.m. |
Created at: April 28, 2026, 5:48 a.m.