Triple
T27885863
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Performance Monitor |
E705219
|
entity |
| Predicate | canMonitor |
P80146
|
FINISHED |
| Object | local computer |
—
|
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: local computer | Statement: [Performance Monitor, canMonitor, local computer]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: canMonitor Context triple: [Performance Monitor, canMonitor, local computer]
-
A.
canBeMonitoredWith
chosen
Indicates that one entity is suitable or able to be observed, tracked, or supervised using another specified entity or method.
-
B.
isMonitored
Indicates that an entity is being actively observed, tracked, or supervised by another entity or system.
-
C.
canSupervise
Indicates that one entity has the authority or capability to oversee, direct, or manage the work or activities of another entity.
-
D.
isMonitoredIn
Indicates that an entity is being observed, tracked, or supervised within a particular context, system, or environment.
-
E.
monitorType
Indicates the type or category of monitor associated with or used by an entity.
- 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_69ef96b39c448190a9b3aa6672a5168f |
completed | April 27, 2026, 5:02 p.m. |
| NER | Named-entity recognition | batch_69f639b09d208190a78de29906514a12 |
completed | May 2, 2026, 5:51 p.m. |
| PD | Predicate disambiguation | batch_69f6318be69481909d1bcf29b7b60eb2 |
completed | May 2, 2026, 5:17 p.m. |
Created at: April 27, 2026, 6:33 p.m.