Triple
T26462619
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Rapid Spanning Tree Protocol |
E665676
|
entity |
| Predicate | convergenceTime |
P144492
|
FINISHED |
| Object | typically less than one second under normal conditions |
—
|
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: typically less than one second under normal conditions | Statement: [Rapid Spanning Tree Protocol, convergenceTime, typically less than one second under normal conditions]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: convergenceTime Context triple: [Rapid Spanning Tree Protocol, convergenceTime, typically less than one second under normal conditions]
-
A.
timePeriodOfStabilization
chosen
Indicates the time span during which a system, process, or condition becomes stable or reaches a steady state.
-
B.
timeToComplete
Indicates the duration required for an entity or process to be fully completed.
-
C.
divergenceTime
Indicates the point in time at which two entities, lineages, or states split from a common origin or began to differ from each other.
-
D.
reunionTime
Indicates the specific time at which previously separated entities come back together for a reunion.
-
E.
calculationTime
Indicates the amount of time required to perform or complete a calculation.
- 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_69ee883e812c8190a9b5a9cdb87fee5e |
completed | April 26, 2026, 9:48 p.m. |
| NER | Named-entity recognition | batch_69f6430a93a48190854ce71df680b2fa |
completed | May 2, 2026, 6:31 p.m. |
| PD | Predicate disambiguation | batch_69f641da05b881909f6283c988639c53 |
completed | May 2, 2026, 6:26 p.m. |
Created at: April 27, 2026, 12:13 a.m.