Triple
T7032981
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Intel 80486 |
E163312
|
entity |
| Predicate | pipelineStages |
P7615
|
FINISHED |
| Object | 5-stage pipeline |
—
|
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: 5-stage pipeline | Statement: [Intel 80486, pipelineStages, 5-stage pipeline]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: pipelineStages Context triple: [Intel 80486, pipelineStages, 5-stage pipeline]
-
A.
pipeline
Indicates a sequential process or workflow where the output of one stage is passed as input to the next to achieve a final result.
-
B.
stages
Indicates that one entity organizes, presents, or sets up another entity (such as an event, performance, or situation) to take place or be displayed.
-
C.
pipelineDepth
Indicates the number of sequential processing stages or steps that data or tasks pass through in a pipeline.
-
D.
flatStages
Indicates that the stages or phases of an event, process, or competition are flat, meaning they lack significant variation in difficulty, elevation, or complexity across stages.
-
E.
numberOfStages
chosen
Indicates the total count of distinct stages or phases associated with a given process, event, or entity.
- 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_69c6885d691c81908cf7d31083113886 |
completed | March 27, 2026, 1:38 p.m. |
| NER | Named-entity recognition | batch_69c6e458ad9c81908c3f492b317ce291 |
completed | March 27, 2026, 8:11 p.m. |
| PD | Predicate disambiguation | batch_69c6e1b9a2488190aea351d96afa5a12 |
completed | March 27, 2026, 7:59 p.m. |
Created at: March 27, 2026, 2:36 p.m.