Triple
T34302630
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Bellman–Ford algorithm |
E880220
|
entity |
| Predicate | numberOfRelaxationPasses |
—
|
GENERATED |
| Object | |V| - 1 |
—
|
UNRECOGNIZED GENERATED |
How this triple was built (1 step)
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.
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: numberOfRelaxationPasses Context triple: [Bellman–Ford algorithm, numberOfRelaxationPasses, |V| - 1]
-
A.
hasRelaxation
Indicates that one entity provides or is associated with a relaxation, easing, or reduction of constraints, tension, or strictness in relation to another entity.
-
B.
typicalNumberOfCycles
Indicates the usual or characteristic count of cycles associated with an entity, process, or event.
-
C.
numberOfReconstructions
Indicates the count of times an entity has been reconstructed or rebuilt.
-
D.
lapsRequired
Indicates the number of laps that must be completed for an activity, event, or condition to be considered fulfilled.
-
E.
optimizationLevel
Indicates the degree or intensity to which a process, system, or solution has been refined to improve its performance or efficiency.
- F. None of above. chosen
Provenance (1 batch)
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_69f349b79f6c81909cb468c92c39c74d |
completed | April 30, 2026, 12:23 p.m. |
Created at: May 1, 2026, 1:57 a.m.