Triple
T15236824
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Cray XE6 |
E364146
|
entity |
| Predicate | parallelismType |
P117681
|
FINISHED |
| Object | massively parallel processing |
—
|
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: massively parallel processing | Statement: [Cray XE6, parallelismType, massively parallel processing]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: parallelismType Context triple: [Cray XE6, parallelismType, massively parallel processing]
-
A.
structureParallels
Indicates that the structural organization or arrangement of one entity closely corresponds to or mirrors that of another.
-
B.
standardParallelType
Indicates the type or method by which the standard parallel(s) are defined or specified in a coordinate reference or map projection system.
-
C.
parallel
Indicates that two or more entities maintain a constant separation and direction without intersecting or converging.
-
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_69d85a0ce24c81909c4d3b6475548c95 |
completed | April 10, 2026, 2:01 a.m. |
| NER | Named-entity recognition | batch_69e007da7e988190925a9b67b8070bc7 |
completed | April 15, 2026, 9:49 p.m. |
| PD | Predicate disambiguation | batch_69deca899d5c8190be4a7c71e1683c69 |
completed | April 14, 2026, 11:15 p.m. |
| PDg | Predicate description generation | batch_69decf2ca6148190967c319728ec3661 |
completed | April 14, 2026, 11:35 p.m. |
Created at: April 10, 2026, 3:12 a.m.