Triple
T28507212
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | SUSE Enterprise Storage |
E721390
|
entity |
| Predicate | underlyingSoftwareLicense |
P107527
|
FINISHED |
| Object | Ceph open-source license |
—
|
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: Ceph open-source license | Statement: [SUSE Enterprise Storage, underlyingSoftwareLicense, Ceph open-source license]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: underlyingSoftwareLicense Context triple: [SUSE Enterprise Storage, underlyingSoftwareLicense, Ceph open-source license]
-
A.
licenseUsed
Indicates that a particular license has been applied to or is being utilized for a specific resource, activity, or entity.
-
B.
requiresLicenseOf
Indicates that one entity must obtain or hold the license associated with another entity in order to use, access, or perform something.
-
C.
licenseProgram
Indicates that an authority grants official permission for a program to operate or be used under specified legal or regulatory terms.
-
D.
basedOnLicense
chosen
Indicates that one entity is derived from, uses, or is governed by the terms of another entity’s license.
-
E.
oftenLicensedUnder
Indicates that an entity is frequently or commonly granted rights or permissions under a specified license.
- 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_69f01a5c072081908c7b04bcf6478da9 |
completed | April 28, 2026, 2:24 a.m. |
| NER | Named-entity recognition | batch_69f71996e1a48190ac59a1d66d7c44e8 |
completed | May 3, 2026, 9:47 a.m. |
| PD | Predicate disambiguation | batch_69f71820c6c88190ab38b4fa626d22cc |
completed | May 3, 2026, 9:40 a.m. |
Created at: April 28, 2026, 3:10 a.m.