Triple
T28390916
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | WSearch |
E719152
|
entity |
| Predicate | resourceUsage |
P164701
|
FINISHED |
| Object | CPU and disk usage during indexing |
—
|
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 and disk usage during indexing | Statement: [WSearch, resourceUsage, CPU and disk usage during indexing]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: resourceUsage Context triple: [WSearch, resourceUsage, CPU and disk usage during indexing]
-
A.
spaceUsage
Indicates how much physical or storage space is occupied or utilized by an entity relative to the total available space.
-
B.
gridUsage
Indicates how much and in what way an entity consumes or relies on a shared grid-based resource, such as an electrical or data grid.
-
C.
platformUsage
Indicates how an entity uses, engages with, or relies on a particular platform for its activities or services.
-
D.
starSystemUsage
Indicates how a particular star system is being utilized or engaged with in a given context.
-
E.
resourceDepletionStatus
Indicates the current state or level of exhaustion of a particular resource, such as whether it is abundant, diminishing, or depleted.
- F. None of above. chosen
Provenance (4 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_69eff6ef211081909d31d9be5f5567e6 |
completed | April 27, 2026, 11:53 p.m. |
| NER | Named-entity recognition | batch_69f64ee0c2788190a94a04ad1902fd5e |
completed | May 2, 2026, 7:22 p.m. |
| PD | Predicate disambiguation | batch_69f64caede108190a35cc7cbfead866f |
completed | May 2, 2026, 7:12 p.m. |
| PDg | Predicate description generation | batch_69f64e36c57c8190af09470a8d35512b |
completed | May 2, 2026, 7:19 p.m. |
Created at: April 28, 2026, 1:13 a.m.