Triple
T8993135
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | OS/VS1 |
E214837
|
entity |
| Predicate | virtualStorageModel |
P8611
|
FINISHED |
| Object | single virtual storage |
—
|
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: single virtual storage | Statement: [OS/VS1, virtualStorageModel, single virtual storage]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: virtualStorageModel Context triple: [OS/VS1, virtualStorageModel, single virtual storage]
-
A.
virtualizationType
Indicates the specific method or technology by which a resource, system, or environment is virtualized.
-
B.
storageOption
chosen
Indicates how or where something is stored, specifying the chosen method, medium, or configuration for its storage.
-
C.
vaultType
Indicates the specific category or classification of a vault associated with an entity or transaction.
-
D.
secondaryStorage
Indicates that an entity serves as a secondary (non-primary) storage location or medium for another entity’s data or resources.
-
E.
storageCapacity
Indicates the maximum amount of data or material that a storage entity can hold.
- 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_69ca83a05c608190bdfdbdb25e994b39 |
completed | March 30, 2026, 2:07 p.m. |
| NER | Named-entity recognition | batch_69cc6876583081909d936dc3c3152587 |
completed | April 1, 2026, 12:36 a.m. |
| PD | Predicate disambiguation | batch_69cc5edba0f88190b97401636a076d7a |
completed | March 31, 2026, 11:55 p.m. |
Created at: March 30, 2026, 7:04 p.m.