Triple
T25677402
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | MMX |
E643844
|
entity |
| Predicate | parallelismModel |
P160269
|
FINISHED |
| Object | single instruction multiple data |
—
|
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: single instruction multiple data | Statement: [MMX, parallelismModel, single instruction multiple data]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: parallelismModel Context triple: [MMX, parallelismModel, single instruction multiple data]
-
A.
parallelismType
Indicates the specific kind or classification of parallel relationship that holds between two entities or processes.
-
B.
structureParallels
Indicates that the structural organization or arrangement of one entity closely corresponds to or mirrors that of another.
-
C.
parallelType
Indicates that one entity runs in parallel to another, specifying the type or manner of their parallel relationship.
-
D.
parallelPassage
Indicates that one text segment corresponds closely in content or structure to another, such that they can be considered parallel versions or accounts of the same material.
-
E.
symbolicParallel
Indicates a relationship where two entities are conceptually or symbolically analogous or aligned, without requiring literal or physical similarity.
- 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_69e77e7f69808190ad27df1006f6037a |
completed | April 21, 2026, 1:41 p.m. |
| NER | Named-entity recognition | batch_69f601f106a08190ad7b4537223dbd8c |
completed | May 2, 2026, 1:53 p.m. |
| PD | Predicate disambiguation | batch_69f5f7fba5248190945acf1561280799 |
completed | May 2, 2026, 1:11 p.m. |
| PDg | Predicate description generation | batch_69f600be0de88190989611e952b03117 |
completed | May 2, 2026, 1:48 p.m. |
Created at: April 21, 2026, 7:41 p.m.