Triple
T11352208
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Level 3.1 |
E268863
|
entity |
| Predicate | hasMaxFrameSizeInMacroblocks |
P55005
|
FINISHED |
| Object | 3600 |
—
|
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: 3600 | Statement: [Level 3.1, hasMaxFrameSizeInMacroblocks, 3600]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasMaxFrameSizeInMacroblocks Context triple: [Level 3.1, hasMaxFrameSizeInMacroblocks, 3600]
-
A.
frameSizeMaximum
chosen
Indicates the maximum allowable size or dimensions that a frame can have in a given context.
-
B.
minimumFrameSize
Indicates the smallest allowable or supported size of a frame in the given context or system.
-
C.
inputFrameSize
Indicates the size or dimensions of the input frame used or processed in a given context.
-
D.
frameSize
Indicates the size or dimensions of a frame associated with an entity.
-
E.
hasMaximumBreadth
Indicates that an entity possesses the greatest breadth (widest extent) among a set of comparable entities or within a defined context.
- 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_69d6aacbe18081909e5fadb50082dd96 |
completed | April 8, 2026, 7:21 p.m. |
| NER | Named-entity recognition | batch_69d80148e2048190a716b515d78efdd1 |
completed | April 9, 2026, 7:43 p.m. |
| PD | Predicate disambiguation | batch_69d7e6f8aeb4819080476f16a69b2ee3 |
completed | April 9, 2026, 5:50 p.m. |
Created at: April 8, 2026, 9:33 p.m.