Triple
T28330256
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Microsoft Office LTSC Professional Plus 2021 |
E717518
|
entity |
| Predicate | deploymentTool |
P164280
|
FINISHED |
| Object | Office Deployment Tool |
—
|
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: Office Deployment Tool | Statement: [Microsoft Office LTSC Professional Plus 2021, deploymentTool, Office Deployment Tool]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: deploymentTool Context triple: [Microsoft Office LTSC Professional Plus 2021, deploymentTool, Office Deployment Tool]
-
A.
deploymentOption
Indicates the available or chosen way in which something (such as a system, service, or component) can be deployed or made operational.
-
B.
deployer
Indicates the agent or entity that carries out the deployment of a system, resource, or artifact.
-
C.
deploymentMechanism
Indicates the method or process by which something is deployed, delivered, or made operational in its target environment.
-
D.
deploymentBody
Indicates that something serves as the physical or textual body/content of a deployment.
-
E.
deploys
Indicates the action of strategically placing or releasing something into operation or use, often in a specific context or location.
- F. None of above. chosen
Provenance (4 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_69eff6e9a57c8190a69c2c74b5d72119 |
completed | April 27, 2026, 11:53 p.m. |
| NER | Named-entity recognition | batch_69f649322d1881909297d1b1c607937d |
completed | May 2, 2026, 6:57 p.m. |
| PD | Predicate disambiguation | batch_69f641e0fde08190bf06a1c5b388aa84 |
completed | May 2, 2026, 6:26 p.m. |
| PDg | Predicate description generation | batch_69f6430975b481909191219ad13ef77e |
completed | May 2, 2026, 6:31 p.m. |
Created at: April 28, 2026, 12:31 a.m.