Triple
T7858237
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Disk Cleanup |
E182429
|
entity |
| Predicate | statusInWindows10 |
P79402
|
FINISHED |
| Object | superseded by Storage Sense for some scenarios |
—
|
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Phrase: superseded by Storage Sense for some scenarios | Statement: [Disk Cleanup, statusInWindows10, superseded by Storage Sense for some scenarios]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: statusInWindows10 Context triple: [Disk Cleanup, statusInWindows10, superseded by Storage Sense for some scenarios]
-
A.
platformStatus
Indicates the current operational or availability state of a platform within a system or service context.
-
B.
statusModel
Indicates that an entity is associated with a particular status representation or status-handling model.
-
C.
statusInSI
Indicates that an entity’s status or condition is specified according to the International System of Units (SI) or an SI-based standard.
-
D.
statusIndicates
Indicates that a particular status value conveys or reflects the current condition, state, or situation of an entity or process.
-
E.
windows
Indicates that one entity is a window of, or is associated as a window-related component or feature to, another entity.
- 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_69ca82887fd48190975896bf38c4596b |
completed | March 30, 2026, 2:02 p.m. |
| NER | Named-entity recognition | batch_69cb1a76f8648190976b488d0d8658ef |
completed | March 31, 2026, 12:51 a.m. |
| PD | Predicate disambiguation | batch_69cae925ca388190ae4a01fa76e957e8 |
completed | March 30, 2026, 9:20 p.m. |
| PDg | Predicate description generation | batch_69caf786ec748190b6347b0c94335550 |
completed | March 30, 2026, 10:21 p.m. |
Created at: March 30, 2026, 4:52 p.m.