Triple
T20906030
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | MIPS R4600 |
E514800
|
entity |
| Predicate | instructionIssue |
P141641
|
FINISHED |
| Object | single-issue |
—
|
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: single-issue | Statement: [MIPS R4600, instructionIssue, single-issue]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: instructionIssue Context triple: [MIPS R4600, instructionIssue, single-issue]
-
A.
instruction
Indicates that one entity provides a directive or order specifying an action that another entity should perform.
-
B.
instructionMode
Indicates the method or medium through which an instruction, lesson, or teaching activity is delivered.
-
C.
instructionBegan
Indicates that an instructional process or teaching activity has started.
-
D.
instructionLevel
Indicates the degree or stage of guidance, teaching, or educational complexity associated with an action or relationship.
-
E.
instructionEncoding
Indicates how an instruction is represented or encoded into a specific formal or machine-readable format.
- 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_69e0b4f8a1108190bce3d31331290ced |
completed | April 16, 2026, 10:07 a.m. |
| NER | Named-entity recognition | batch_69e6e9001a8c81909fa1004b5977d04f |
completed | April 21, 2026, 3:03 a.m. |
| PD | Predicate disambiguation | batch_69e5c9ac91108190a6700fcdf2f11890 |
completed | April 20, 2026, 6:37 a.m. |
| PDg | Predicate description generation | batch_69e5d53d22d08190bc17ed4bed53804a |
completed | April 20, 2026, 7:26 a.m. |
Created at: April 16, 2026, 12:47 p.m.