Triple
T8284583
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Microprocessor without Interlocked Pipeline Stages |
E193757
|
entity |
| Predicate | typicalPipelineDepth |
P36986
|
FINISHED |
| Object | 5 stages |
—
|
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 stages | Statement: [Microprocessor without Interlocked Pipeline Stages, typicalPipelineDepth, 5 stages]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: typicalPipelineDepth Context triple: [Microprocessor without Interlocked Pipeline Stages, typicalPipelineDepth, 5 stages]
-
A.
pipelineDepth
chosen
Indicates the number of sequential processing stages or steps that data or tasks pass through in a pipeline.
-
B.
hasChannelDepth
Indicates that one entity specifies or records the depth measurement of a channel associated with another entity.
-
C.
hasAverageDepth
Indicates that an entity possesses a specified mean depth value, typically measured over its entire extent or area.
-
D.
testDepth
Indicates that an entity is evaluated or measured based on how deep or thorough it is, often in terms of levels, layers, or extent below a surface or baseline.
-
E.
circulationDepthRange
Indicates the range of depths within which circulation or movement of a medium (such as water, air, or fluid) occurs.
- 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_69ca82e217a48190880695635c44b2ed |
completed | March 30, 2026, 2:04 p.m. |
| NER | Named-entity recognition | batch_69cb7ad0535081908bb234cfc0e32b32 |
completed | March 31, 2026, 7:42 a.m. |
| PD | Predicate disambiguation | batch_69cb70ad9fc081908741f8c4a4141edf |
completed | March 31, 2026, 6:58 a.m. |
Created at: March 30, 2026, 5:52 p.m.