Triple
T1717979
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | MIPS |
E37330
|
entity |
| Predicate | instructionLength |
P31907
|
FINISHED |
| Object | fixed 32-bit instructions |
—
|
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: fixed 32-bit instructions | Statement: [MIPS, instructionLength, fixed 32-bit instructions]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: instructionLength Context triple: [MIPS, instructionLength, fixed 32-bit instructions]
-
A.
instructionSetSize
Indicates the size or number of instructions defined in an instruction set.
-
B.
programLength
Indicates the duration or total length of a program, typically measured in time or size.
-
C.
instructionQueueLength
Indicates the current number of instructions waiting in a queue to be processed.
-
D.
instructionSetType
Indicates the type or category of an instruction set associated with a processor or computing architecture.
-
E.
isFeatureLength
Indicates that something (typically a film or video) has a duration long enough to be considered a full-length, standard feature.
- 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_69a8861912dc8190931af43b4b9158a7 |
completed | March 4, 2026, 7:20 p.m. |
| NER | Named-entity recognition | batch_69ab5c96db6c8190a745d6fef7bf2cdb |
completed | March 6, 2026, 11 p.m. |
| PD | Predicate disambiguation | batch_69aa61bed2fc819086d912cd34285978 |
completed | March 6, 2026, 5:10 a.m. |
| PDg | Predicate description generation | batch_69ab5c7780bc81909fc6e173a216cb0b |
completed | March 6, 2026, 11 p.m. |
Created at: March 4, 2026, 7:30 p.m.