Triple
T10587324
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | PowerPC 603 |
E249886
|
entity |
| Predicate | executionUnits |
P94791
|
FINISHED |
| Object | integer unit |
—
|
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: integer unit | Statement: [PowerPC 603, executionUnits, integer unit]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: executionUnits Context triple: [PowerPC 603, executionUnits, integer unit]
-
A.
coreUnitType
Indicates that one entity is classified as the primary or fundamental type/category to which another entity (a core unit) belongs.
-
B.
controlUnitType
Indicates the specific kind or category of control unit associated with or assigned to an entity.
-
C.
numberOfLoadStoreUnits
Indicates the quantity of distinct hardware units dedicated to performing load and store operations in a system or processor.
-
D.
executionDevice
Indicates that an entity serves as the instrument, tool, or device used to carry out or execute a particular action or process.
-
E.
executionWidth
Indicates the degree of parallelism or number of concurrent units used when executing an operation or process.
- 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_69d381c9d3d48190a29ee491e1696a0e |
completed | April 6, 2026, 9:50 a.m. |
| NER | Named-entity recognition | batch_69d5276b0ae48190b2935230363239e0 |
completed | April 7, 2026, 3:48 p.m. |
| PD | Predicate disambiguation | batch_69d51907b2b881908ab9a8594688ee06 |
completed | April 7, 2026, 2:47 p.m. |
| PDg | Predicate description generation | batch_69d5270eca0481908573b698390c5b08 |
completed | April 7, 2026, 3:47 p.m. |
Created at: April 6, 2026, 12:39 p.m.