Triple
T29738463
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | RMF Distributed Data Server |
E752532
|
entity |
| Predicate | monitorsResource |
P752
|
FINISHED |
| Object | CPU utilization |
—
|
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: CPU utilization | Statement: [RMF Distributed Data Server, monitorsResource, CPU utilization]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: monitorsResource Context triple: [RMF Distributed Data Server, monitorsResource, CPU utilization]
-
A.
monitors
chosen
Indicates that one entity observes, tracks, or checks the state, behavior, or performance of another entity over time.
-
B.
monitorType
Indicates the type or category of monitor associated with or used by an entity.
-
C.
monitorsMedium
Indicates that one entity observes, tracks, or supervises the state or activity of a particular medium (such as a channel, platform, or communication medium).
-
D.
typicalMonitor
Indicates that one entity commonly or characteristically monitors, observes, or oversees another entity in a usual or expected manner.
-
E.
monitoringOutput
Indicates that one entity observes, records, or tracks the performance, behavior, or results produced by another entity or process.
- 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_69f0d62b064081908c1ae61cd68fb139 |
completed | April 28, 2026, 3:45 p.m. |
| NER | Named-entity recognition | batch_69f673361d10819085c3915531150531 |
completed | May 2, 2026, 9:57 p.m. |
| PD | Predicate disambiguation | batch_69f66ac1a4fc81909740d2e52fbe6970 |
completed | May 2, 2026, 9:21 p.m. |
Created at: April 28, 2026, 7:46 p.m.