Triple
T30405343
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | PowerPC-to-Intel Mac architecture transition |
E773462
|
entity |
| Predicate | toInstructionSet |
P78644
|
FINISHED |
| Object | x86 |
—
|
NE NERFINISHED |
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: x86 | Statement: [PowerPC-to-Intel Mac architecture transition, toInstructionSet, x86]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: toInstructionSet Context triple: [PowerPC-to-Intel Mac architecture transition, toInstructionSet, x86]
-
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.
instructionEncoding
Indicates how an instruction is represented or encoded into a specific formal or machine-readable format.
-
D.
instructionMode
Indicates the method or medium through which an instruction, lesson, or teaching activity is delivered.
-
E.
hasInstructionSet
chosen
Indicates that one entity (typically a processor or system) is defined as using or supporting a particular instruction set.
- 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_69f2248facd48190b183c3f3ca6daef7 |
completed | April 29, 2026, 3:32 p.m. |
| NER | Named-entity recognition | batch_69f6861d69a08190802564e3aa7d6ea7 |
completed | May 2, 2026, 11:17 p.m. |
| PD | Predicate disambiguation | batch_69f678d019fc8190913662cd2f87b857 |
completed | May 2, 2026, 10:21 p.m. |
Created at: April 29, 2026, 8:03 p.m.