Triple
T29689567
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Dragora GNU/Linux-Libre |
E751177
|
entity |
| Predicate | isFullyFree |
P164956
|
FINISHED |
| Object | true |
—
|
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: true | Statement: [Dragora GNU/Linux-Libre, isFullyFree, true]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: isFullyFree Context triple: [Dragora GNU/Linux-Libre, isFullyFree, true]
-
A.
isFreeToUse
Indicates that something can be used without cost, restriction, or required permission.
-
B.
isFreeToReuse
chosen
Indicates that something may be used again by others without restriction or the need for additional permission.
-
C.
isFreeOrPublic
Indicates that the entity is available for use, access, or participation without cost or with unrestricted public access.
-
D.
hasFreeZone
Indicates that an entity includes or is associated with a designated free zone area where special rules, privileges, or exemptions apply.
-
E.
hasFreeLanes
Indicates that a route, road, or pathway currently has lanes available that are not occupied or congested.
- 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_69f672938e18819082394196f97e6340 |
completed | May 2, 2026, 9:54 p.m. |
| PD | Predicate disambiguation | batch_69f6659f246081909821c5f452d14e8f |
completed | May 2, 2026, 8:59 p.m. |
Created at: April 28, 2026, 7:15 p.m.