Triple
T11494431
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | OptiPlex |
E272496
|
entity |
| Predicate | commonDeployment |
P4119
|
FINISHED |
| Object | large corporate fleets |
—
|
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: large corporate fleets | Statement: [OptiPlex, commonDeployment, large corporate fleets]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: commonDeployment Context triple: [OptiPlex, commonDeployment, large corporate fleets]
-
A.
typicalDeployment
chosen
Indicates that one entity represents the standard or most commonly used deployment configuration or pattern for the other entity.
-
B.
deploys
Indicates the action of strategically placing or releasing something into operation or use, often in a specific context or location.
-
C.
typeOfDeployment
Indicates the specific manner or configuration in which something (such as a system, application, or resource) is deployed or made operational.
-
D.
deploymentType
Indicates the manner or configuration in which a system, application, or component is deployed or made operational.
-
E.
canDeploy
Indicates that one entity has the permission or capability to deploy another entity (such as software, resources, or configurations) into a target environment.
- 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_69d6aae1b09881909ce2ded3fa0c14fa |
completed | April 8, 2026, 7:22 p.m. |
| NER | Named-entity recognition | batch_69d85ddffdf88190a00e94ad5b8b91a5 |
completed | April 10, 2026, 2:18 a.m. |
| PD | Predicate disambiguation | batch_69d808736c5c8190899b5b3b2e797f65 |
completed | April 9, 2026, 8:13 p.m. |
Created at: April 8, 2026, 9:36 p.m.