Triple
T14086577
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | RISC I |
E339011
|
entity |
| Predicate | instructionEncoding |
P112755
|
FINISHED |
| Object | fixed-length |
—
|
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-length | Statement: [RISC I, instructionEncoding, fixed-length]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: instructionEncoding Context triple: [RISC I, instructionEncoding, fixed-length]
-
A.
instructionMode
Indicates the method or medium through which an instruction, lesson, or teaching activity is delivered.
-
B.
instructionLength
Indicates the duration or amount of time required to carry out a given instruction or operation.
-
C.
instructionLevel
Indicates the degree or stage of guidance, teaching, or educational complexity associated with an action or relationship.
-
D.
instructionSetSize
Indicates the size or number of instructions defined in an instruction set.
-
E.
instructionSetName
Indicates the specific name assigned to an instruction set associated with an entity or system.
- 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_69d81c687b0c819087fd9ed4198403f8 |
completed | April 9, 2026, 9:38 p.m. |
| NER | Named-entity recognition | batch_69de5edff1b881909ea56dc2429ef2dd |
completed | April 14, 2026, 3:36 p.m. |
| PD | Predicate disambiguation | batch_69de05b0e6c88190a819eeba0028981f |
completed | April 14, 2026, 9:15 a.m. |
| PDg | Predicate description generation | batch_69de2398856c81908bed6070e4ca6ab1 |
completed | April 14, 2026, 11:23 a.m. |
Created at: April 9, 2026, 10:21 p.m.