Triple
T7033139
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | P54C |
E163315
|
entity |
| Predicate | instructionSetExtensions |
P74581
|
FINISHED |
| Object | none beyond baseline Pentium |
—
|
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: none beyond baseline Pentium | Statement: [P54C, instructionSetExtensions, none beyond baseline Pentium]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: instructionSetExtensions Context triple: [P54C, instructionSetExtensions, none beyond baseline Pentium]
-
A.
instructionSetType
Indicates the type or category of an instruction set associated with a processor or computing architecture.
-
B.
instructionSetSize
Indicates the size or number of instructions defined in an instruction set.
-
C.
instructionLevel
Indicates the degree or stage of guidance, teaching, or educational complexity associated with an action or relationship.
-
D.
microarchitectureFeature
Indicates a relationship where a specific microarchitecture possesses or supports a particular hardware or design feature.
-
E.
instructionLength
Indicates the duration or amount of time required to carry out a given instruction or operation.
- 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_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. |
| PDg | Predicate description generation | batch_69c6e456e89481908df42a1b4232a4a0 |
completed | March 27, 2026, 8:11 p.m. |
Created at: March 27, 2026, 2:36 p.m.