Triple
T477920
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | GNU General Public License |
E9100
|
entity |
| Predicate | copyleftStrength |
P12720
|
FINISHED |
| Object | strong copyleft |
—
|
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: strong copyleft | Statement: [GNU General Public License, copyleftStrength, strong copyleft]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: copyleftStrength Context triple: [GNU General Public License, copyleftStrength, strong copyleft]
-
A.
isCopyleft
chosen
Indicates that the subject is governed by a copyleft license, requiring derivative works to be distributed under the same or compatible licensing terms.
-
B.
copyrightStatus
Indicates the legal protection state of a work, specifying whether and how it is covered by copyright.
-
C.
license
Indicates that one entity has granted another entity formal permission or authorization to use, perform, or exploit something under specified terms.
-
D.
licensePreference
Indicates a party’s chosen or prioritized type of license to use, grant, or operate under in a given context.
-
E.
minimumCopyrightTerm
Indicates the legally mandated shortest duration for which copyright protection must be granted.
- 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_69a2e7ff81708190b0507a24a997232c |
completed | Feb. 28, 2026, 1:05 p.m. |
| NER | Named-entity recognition | batch_69a2f03f3fbc81909af6e4496d5e6c2a |
completed | Feb. 28, 2026, 1:40 p.m. |
| PD | Predicate disambiguation | batch_69a2edf017548190ae38ff3314a1ffa3 |
completed | Feb. 28, 2026, 1:30 p.m. |
Created at: Feb. 28, 2026, 1:12 p.m.