Triple
T9632582
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | HPE OneView |
E232842
|
entity |
| Predicate | supportsManagementOf |
P42910
|
FINISHED |
| Object | servers |
—
|
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: servers | Statement: [HPE OneView, supportsManagementOf, servers]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: supportsManagementOf Context triple: [HPE OneView, supportsManagementOf, servers]
-
A.
supportsDeviceManagement
chosen
Indicates that one entity provides capabilities or functionality to manage, configure, or control another entity’s devices.
-
B.
supportsHostManagement
Indicates that an entity provides functionality to manage, configure, or control a host system or environment.
-
C.
supportsMediaManagement
Indicates that one entity provides functionality or assistance for organizing, handling, or controlling media content for another entity.
-
D.
supportsClusterManagement
Indicates that one entity provides functionality or resources that enable the management and coordination of a cluster of related entities.
-
E.
supportsImplementationOf
Indicates that one entity provides the necessary resources, framework, or assistance for another entity to be carried out, realized, or put into practice.
- 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_69ca848940cc8190b97cec654cb3bb4a |
completed | March 30, 2026, 2:11 p.m. |
| NER | Named-entity recognition | batch_69cd9b2783b48190a9929dc3e3cd2956 |
completed | April 1, 2026, 10:24 p.m. |
| PD | Predicate disambiguation | batch_69ccd5acfa5c8190aaba3cf548723604 |
completed | April 1, 2026, 8:22 a.m. |
Created at: March 30, 2026, 8:11 p.m.