Triple
T6833250
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Successive Over-Relaxation |
E157387
|
entity |
| Predicate | isLinearIteration |
P58204
|
FINISHED |
| Object | true |
—
|
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: true | Statement: [Successive Over-Relaxation, isLinearIteration, true]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: isLinearIteration Context triple: [Successive Over-Relaxation, isLinearIteration, true]
-
A.
isLinear
Indicates that a relationship, function, or structure preserves linearity, typically meaning it satisfies additivity and homogeneity (or forms a straight-line dependence between variables).
-
B.
canBeImplementedIteratively
chosen
Indicates that the given concept, algorithm, or process is capable of being realized using an iterative (loop-based) approach rather than, or in addition to, a recursive or non-iterative one.
-
C.
isLinearRecurrenceOfOrder
Indicates that one sequence or function is defined by a linear recurrence relation of a specified order, where each term is a linear combination of a fixed number of preceding terms.
-
D.
isLoop
Indicates that something forms or behaves as a closed, repeating cycle or path that returns to its starting point.
-
E.
isDeterministic
Indicates that the outcome of a process or function is fully determined by its inputs, with no randomness or variation between executions.
- 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_69c6882c53608190b99aebef079b23bd |
completed | March 27, 2026, 1:37 p.m. |
| NER | Named-entity recognition | batch_69c6d62b1e8c8190a81d91191a54b073 |
completed | March 27, 2026, 7:10 p.m. |
| PD | Predicate disambiguation | batch_69c6d09d95f0819091ca7f897dc21efe |
completed | March 27, 2026, 6:46 p.m. |
Created at: March 27, 2026, 2:18 p.m.