Triple
T18052034
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | SaltStack |
E431945
|
entity |
| Predicate | developer |
P73
|
FINISHED |
| Object | VMware |
—
|
NE NERFINISHED |
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: VMware | Statement: [SaltStack, developer, VMware]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: VMware Context triple: [SaltStack, developer, VMware]
-
A.
VMware
chosen
VMware is a leading American cloud computing and virtualization technology company known for its pioneering hypervisor and software-defined data center solutions.
-
B.
VMware vSphere
VMware vSphere is VMware’s flagship virtualization and cloud computing platform for building and managing virtualized data centers and private clouds.
-
C.
VMware ESXi
VMware ESXi is a bare-metal hypervisor from VMware that enables virtualization by running multiple virtual machines directly on server hardware without a traditional underlying operating system.
-
D.
VMware Workstation
VMware Workstation is a desktop virtualization software application that allows users to run multiple operating systems simultaneously on a single physical machine.
-
E.
VMware vSAN
VMware vSAN is a software-defined storage solution that integrates with VMware vSphere to pool and manage local storage resources across a cluster of ESXi hosts for virtualized workloads.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (2 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_69d8b906482481908183315b9ecf9994 |
completed | April 10, 2026, 8:47 a.m. |
| NER | Named-entity recognition | batch_69e4c0fe4f1881908fa8485cb3ccfa44 |
completed | April 19, 2026, 11:48 a.m. |
Created at: April 10, 2026, 10:25 a.m.