Triple
T28391115
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Microsoft Volume Licensing |
E719156
|
entity |
| Predicate | softwareAssuranceBenefit |
P165150
|
FINISHED |
| Object | new version rights |
—
|
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: new version rights | Statement: [Microsoft Volume Licensing, softwareAssuranceBenefit, new version rights]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: softwareAssuranceBenefit Context triple: [Microsoft Volume Licensing, softwareAssuranceBenefit, new version rights]
-
A.
securityGuarantee
Indicates a commitment by one party to protect or defend another party against specified threats or risks.
-
B.
safetyBenefit
Indicates that one entity provides, contributes to, or results in an improvement in the safety or risk reduction experienced by another entity.
-
C.
typeOfGuarantees
Indicates the specific kind or category of guarantees that one entity provides, holds, or is associated with in relation to another.
-
D.
benefitProtection
Indicates that one entity provides protective advantages or safeguards that benefit another entity.
-
E.
softwarePolicy
Indicates that there is a rule, guideline, or policy governing the use, development, or management of software in relation to the associated entities.
- 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_69eff6ef211081909d31d9be5f5567e6 |
completed | April 27, 2026, 11:53 p.m. |
| NER | Named-entity recognition | batch_69f65705a3048190a3728b695ba2ae65 |
completed | May 2, 2026, 7:56 p.m. |
| PD | Predicate disambiguation | batch_69f651a931748190a637e631a52bbfaa |
completed | May 2, 2026, 7:34 p.m. |
| PDg | Predicate description generation | batch_69f6562ef4e4819082ce6abd41b74dc5 |
completed | May 2, 2026, 7:53 p.m. |
Created at: April 28, 2026, 1:13 a.m.