Triple
T22060216
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | AquaLogic Data Services Platform |
E545130
|
entity |
| Predicate | virtualizes |
P31948
|
FINISHED |
| Object | heterogeneous data sources |
—
|
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: heterogeneous data sources | Statement: [AquaLogic Data Services Platform, virtualizes, heterogeneous data sources]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: virtualizes Context triple: [AquaLogic Data Services Platform, virtualizes, heterogeneous data sources]
-
A.
virtualizationType
Indicates the specific method or technology by which a resource, system, or environment is virtualized.
-
B.
virtualizationLayer
chosen
Indicates that one entity functions as an abstraction or intermediary layer that virtualizes or emulates the underlying resources or environment of another entity.
-
C.
requiresVirtualMachine
Indicates that one entity depends on or must be run within a virtual machine provided by another entity in order to function or be valid.
-
D.
standardizedVirtualMachine
Indicates that a virtual machine conforms to a predefined, consistent configuration or standard specification.
-
E.
roleInVirtualBox
Indicates that an entity holds a specific role or function within a virtualized environment or virtual machine context.
- 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_69e11e3377c48190890c17407b9527d6 |
completed | April 16, 2026, 5:36 p.m. |
| NER | Named-entity recognition | batch_69f1285ba1c88190b4bc0c73f3cf04e1 |
completed | April 28, 2026, 9:36 p.m. |
| PD | Predicate disambiguation | batch_69e6f643ca74819083e8ab78e843f243 |
completed | April 21, 2026, 4 a.m. |
Created at: April 16, 2026, 8:27 p.m.