Triple
T29689620
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Ututo |
E751178
|
entity |
| Predicate | includesNonFreeSoftware |
P34111
|
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: [Ututo, includesNonFreeSoftware, no]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: includesNonFreeSoftware Context triple: [Ututo, includesNonFreeSoftware, no]
-
A.
softwareFreedomStatus
chosen
Indicates the degree to which a piece of software respects users’ freedoms to use, study, modify, and share it.
-
B.
isNonCommercial
Indicates that the associated entity, use, or activity is not intended for or involved in commercial, profit-generating purposes.
-
C.
FSFApproved
Indicates that something has been reviewed and approved by the Free Software Foundation as meeting its free software licensing criteria.
-
D.
usesSoftware
Indicates that one entity employs or operates a particular software application or system to perform tasks or functions.
-
E.
accessibleForFreeOrPaid
Indicates that the subject can be accessed either without cost or by paying a fee.
- 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_69ffe23081408190a121d901dbce1403 |
completed | May 10, 2026, 1:41 a.m. |
| PD | Predicate disambiguation | batch_69ffe18aed348190912a5996b2da728b |
completed | May 10, 2026, 1:38 a.m. |
Created at: April 28, 2026, 7:15 p.m.