Triple
T28610532
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | HPPA |
E724157
|
entity |
| Predicate | cpuDesign |
P75683
|
FINISHED |
| Object | reduced instruction set computing |
—
|
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: reduced instruction set computing | Statement: [HPPA, cpuDesign, reduced instruction set computing]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: cpuDesign Context triple: [HPPA, cpuDesign, reduced instruction set computing]
-
A.
hardwareDesign
Indicates a relationship where one entity is responsible for creating, specifying, or engineering the physical components and architecture of another entity’s hardware system.
-
B.
chipletDesign
Indicates a design relationship where a system or component is architected as, or using, modular chiplets rather than a single monolithic chip.
-
C.
microarchitectureClass
chosen
Indicates that one entity is classified as a specific type or category of microarchitecture relative to another entity.
-
D.
graphicsArchitecture
Indicates the underlying design or structural framework that defines how a system’s graphics or visual rendering components are organized and operate.
-
E.
microarchitectureFeature
Indicates a relationship where a specific microarchitecture possesses or supports a particular hardware or design feature.
- 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_69f01d816d7c8190a1fe27e3434041dc |
completed | April 28, 2026, 2:37 a.m. |
| NER | Named-entity recognition | batch_69f652a492108190b885b955ce147d3c |
completed | May 2, 2026, 7:38 p.m. |
| PD | Predicate disambiguation | batch_69f651aad92c8190b874b3b5f9f64434 |
completed | May 2, 2026, 7:34 p.m. |
Created at: April 28, 2026, 4:29 a.m.