Triple
T38635145
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Microsoft 365 Personal |
E937556
|
entity |
| Predicate | numberOfLicensedUsers |
—
|
GENERATED |
| Object | 1 |
—
|
UNRECOGNIZED GENERATED |
How this triple was built (1 step)
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.
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: numberOfLicensedUsers Context triple: [Microsoft 365 Personal, numberOfLicensedUsers, 1]
-
A.
maximumNumberOfUsers
Indicates the highest allowable or supported number of users associated with or participating in a given context or system.
-
B.
hasLicensingMetric
Indicates that one entity uses another entity as the metric or basis for determining licensing terms or conditions.
-
C.
userCount
chosen
Indicates the number of users associated with or involved in a given context or entity.
-
D.
licenseUsed
Indicates that a particular license has been applied to or is being utilized for a specific resource, activity, or entity.
-
E.
usesLicensingModel
Indicates that one entity employs or applies a particular licensing model in its operations or offerings.
- F. None of above.
Provenance (1 batch)
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_69f76ed5ca3c81909288f61fbf37b359 |
completed | May 3, 2026, 3:50 p.m. |
Created at: May 3, 2026, 4:32 p.m.