Triple
T29689989
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Musix GNU+Linux (historical) |
E751186
|
entity |
| Predicate | containsNonFreeSoftware |
P31892
|
FINISHED |
| Object | no |
—
|
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: no | Statement: [Musix GNU+Linux (historical), containsNonFreeSoftware, no]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: containsNonFreeSoftware Context triple: [Musix GNU+Linux (historical), containsNonFreeSoftware, no]
-
A.
softwareFreedomStatus
Indicates the degree to which a piece of software respects users’ freedoms to use, study, modify, and share it.
-
B.
hasNonFreeRepositorySection
chosen
Indicates that an entity includes a section or component that is classified as non-free (e.g., proprietary or restricted) within its repository.
-
C.
isNonCommercial
Indicates that the associated entity, use, or activity is not intended for or involved in commercial, profit-generating purposes.
-
D.
usesSoftware
Indicates that one entity employs or operates a particular software application or system to perform tasks or functions.
-
E.
hasCopyleft
Indicates that a work, license, or component is subject to copyleft terms requiring derivative or combined works to be distributed under the same or compatible license conditions.
- 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_69f0d625b09481909b0b69aea1e846c8 |
completed | April 28, 2026, 3:45 p.m. |
| NER | Named-entity recognition | batch_69feb342994081909481ec8ec5d44928 |
completed | May 9, 2026, 4:08 a.m. |
| PD | Predicate disambiguation | batch_69feb046e4e48190b96649aa28529cc9 |
completed | May 9, 2026, 3:55 a.m. |
Created at: April 28, 2026, 7:16 p.m.