Triple
T9312056
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | djbdns |
E224028
|
entity |
| Predicate | originalLicense |
P23417
|
FINISHED |
| Object | non-free license with distribution restrictions |
—
|
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: non-free license with distribution restrictions | Statement: [djbdns, originalLicense, non-free license with distribution restrictions]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: originalLicense Context triple: [djbdns, originalLicense, non-free license with distribution restrictions]
-
A.
licenseOrigin
Indicates that one entity is the original source or issuer from which another entity’s license is derived or obtained.
-
B.
contentLicense
chosen
Indicates the type of license or usage rights that govern how the associated content may be used, shared, or redistributed.
-
C.
licenseOfImplementation
Indicates that a particular software license applies to, governs, or is used for a specific implementation.
-
D.
license
Indicates that one entity has granted another entity formal permission or authorization to use, perform, or exploit something under specified terms.
-
E.
developedUnderLicenseFrom
Indicates that something was created or produced with formal permission granted through a licensing agreement from another party.
- 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_69ca8425f4fc81909c1c586e9a5b7530 |
completed | March 30, 2026, 2:09 p.m. |
| NER | Named-entity recognition | batch_69cd20ae96e481909a1af9ea1c91f2b2 |
completed | April 1, 2026, 1:42 p.m. |
| PD | Predicate disambiguation | batch_69cc7a61e9a4819096eb014f3791ef2e |
completed | April 1, 2026, 1:52 a.m. |
Created at: March 30, 2026, 7:37 p.m.