Triple
T6790521
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Open Software License 3.0 |
E155918
|
entity |
| Predicate | hasCopyleftStrength |
P41931
|
FINISHED |
| Object | file-level or similar 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: file-level or similar copyleft | Statement: [Open Software License 3.0, hasCopyleftStrength, file-level or similar copyleft]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasCopyleftStrength Context triple: [Open Software License 3.0, hasCopyleftStrength, file-level or similar copyleft]
-
A.
isCopyleft
Indicates that the subject is governed by a copyleft license, requiring derivative works to be distributed under the same or compatible licensing terms.
-
B.
copyleftType
chosen
Indicates that one entity specifies the type or category of copyleft licensing that governs another entity.
-
C.
hasDerivativeWork
Indicates that one work is based on, adapted from, or otherwise derived from another work.
-
D.
hasCreativeCommonsLicensedWorks
Indicates that an entity possesses or is associated with works that are licensed under a Creative Commons license.
-
E.
hasCopyrightHolder
Indicates that a specified entity holds the legal copyright ownership or rights over another entity.
- 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_69c6881770fc8190972b2906390380f5 |
completed | March 27, 2026, 1:37 p.m. |
| NER | Named-entity recognition | batch_69c6d2acbfc0819081f2d6cebfb91765 |
completed | March 27, 2026, 6:55 p.m. |
| PD | Predicate disambiguation | batch_69c6d0979ce0819094678896da4e3169 |
completed | March 27, 2026, 6:46 p.m. |
Created at: March 27, 2026, 2:15 p.m.