Triple
T30779632
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Gustafson's law |
E783773
|
entity |
| Predicate | speedupFormula |
P170125
|
FINISHED |
| Object | S(N) = N − α (N − 1) |
—
|
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: S(N) = N − α (N − 1) | Statement: [Gustafson's law, speedupFormula, S(N) = N − α (N − 1)]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: speedupFormula Context triple: [Gustafson's law, speedupFormula, S(N) = N − α (N − 1)]
-
A.
speedupType
Indicates the kind or category of performance improvement achieved relative to a baseline.
-
B.
typicalSpeedup
Indicates the usual or expected performance improvement (e.g., reduction in time or increase in speed) achieved when applying one method, system, or configuration relative to another.
-
C.
speed
Indicates the rate at which an entity moves or changes position over time.
-
D.
migrationSpeed
Indicates the rate at which an entity moves from one location or region to another over a given period of time.
-
E.
speedMeasurementMethod
Indicates the method or technique used to measure the speed of an entity or process.
- 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_69f224b213c8819083886073f90b647e |
completed | April 29, 2026, 3:33 p.m. |
| NER | Named-entity recognition | batch_69f68fe367d8819088c30ff3cb3866bb |
completed | May 2, 2026, 11:59 p.m. |
| PD | Predicate disambiguation | batch_69f686140aa08190a35f62572b2db9b6 |
completed | May 2, 2026, 11:17 p.m. |
| PDg | Predicate description generation | batch_69f68848ad348190a2fb6e841dcfdb7d |
completed | May 2, 2026, 11:27 p.m. |
Created at: April 29, 2026, 8:41 p.m.