Triple
T7932320
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Filestore |
E184214
|
entity |
| Predicate | managementFeature |
P41056
|
FINISHED |
| Object | automatic patching and updates |
—
|
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: automatic patching and updates | Statement: [Filestore, managementFeature, automatic patching and updates]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: managementFeature Context triple: [Filestore, managementFeature, automatic patching and updates]
-
A.
maintenanceFeature
chosen
Indicates that one entity serves as a maintenance-related feature, capability, or component associated with another entity.
-
B.
administrativeFeature
Indicates that one entity serves as an administrative or governance-related feature, function, or attribute associated with another entity.
-
C.
institutionalFeature
Indicates that something is a characteristic, structure, or property that defines or shapes an institution or institutional arrangement.
-
D.
accessFeature
Indicates that one entity is permitted to use or interact with a specific feature or capability of another entity.
-
E.
featuresSetting
Indicates that something includes, presents, or highlights a particular setting as a notable or primary aspect.
- 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_69ca8290c21c8190906a5ca6fe2b03c4 |
completed | March 30, 2026, 2:02 p.m. |
| NER | Named-entity recognition | batch_69cb3ace87f081908635769942645e78 |
completed | March 31, 2026, 3:09 a.m. |
| PD | Predicate disambiguation | batch_69cae9335f288190ba96781fd6576a2b |
completed | March 30, 2026, 9:20 p.m. |
Created at: March 30, 2026, 5:08 p.m.