Triple
T2130606
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | CPLD |
E46529
|
entity |
| Predicate | hasDisadvantageComparedToFPGA |
P28754
|
FINISHED |
| Object | lower logic density |
—
|
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: lower logic density | Statement: [CPLD, hasDisadvantageComparedToFPGA, lower logic density]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasDisadvantageComparedToFPGA Context triple: [CPLD, hasDisadvantageComparedToFPGA, lower logic density]
-
A.
hasDesignTradeoff
chosen
Indicates that one design choice involves compromises or conflicting benefits and drawbacks relative to other possible designs.
-
B.
isLessEfficientThan
Indicates that one entity performs a task or uses resources with lower efficiency compared to another entity.
-
C.
gpuComputePerformance
Indicates the level of processing capability a GPU can deliver for computational tasks, typically measured in operations per unit time.
-
D.
hasMicrocontroller
Indicates that an entity contains, includes, or is equipped with a microcontroller as one of its components.
-
E.
neuralEnginePerformance
Indicates the level or efficiency of processing capability provided by a neural engine in performing AI or machine-learning tasks.
- 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_69a88a1626548190ae59a5028c3baa8e |
completed | March 4, 2026, 7:37 p.m. |
| NER | Named-entity recognition | batch_69abbb79f21881909ad8d1a09c1f29fd |
completed | March 7, 2026, 5:45 a.m. |
| PD | Predicate disambiguation | batch_69abb7bd86cc8190938ef06c1ed6d969 |
completed | March 7, 2026, 5:29 a.m. |
Created at: March 4, 2026, 7:44 p.m.