Triple
T34543197
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | GNU Solidario |
E886856
|
entity |
| Predicate | usesSoftwareLicenseType |
P50497
|
FINISHED |
| Object | free software licenses |
—
|
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: free software licenses | Statement: [GNU Solidario, usesSoftwareLicenseType, free software licenses]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: usesSoftwareLicenseType Context triple: [GNU Solidario, usesSoftwareLicenseType, free software licenses]
-
A.
licenseUsed
Indicates that a particular license has been applied to or is being utilized for a specific resource, activity, or entity.
-
B.
usesLicensingModel
chosen
Indicates that one entity employs or applies a particular licensing model in its operations or offerings.
-
C.
requiresLicenseOf
Indicates that one entity must obtain or hold the license associated with another entity in order to use, access, or perform something.
-
D.
usesSoftware
Indicates that one entity employs or operates a particular software application or system to perform tasks or functions.
-
E.
hasLicensing
Indicates that one entity holds or is granted licensing rights, permissions, or authorization in relation to another entity or resource.
- 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_69f349ce5eb881909e431c670944aa68 |
completed | April 30, 2026, 12:23 p.m. |
| NER | Named-entity recognition | batch_69fd5d48855c8190bd93070b6a00d8b5 |
completed | May 8, 2026, 3:49 a.m. |
| PD | Predicate disambiguation | batch_69fd5c9aabb88190912800d90184a89d |
completed | May 8, 2026, 3:46 a.m. |
Created at: May 1, 2026, 2:02 a.m.