Triple
T29689571
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Dragora GNU/Linux-Libre |
E751177
|
entity |
| Predicate | doesNotBaseOn |
P169322
|
FINISHED |
| Object | Debian |
—
|
NE NERFINISHED |
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: Debian | Statement: [Dragora GNU/Linux-Libre, doesNotBaseOn, Debian]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: doesNotBaseOn Context triple: [Dragora GNU/Linux-Libre, doesNotBaseOn, Debian]
-
A.
doesNot
Indicates that a specified entity lacks, refrains from, or fails to perform a particular action or exhibit a particular property in relation to another entity or context.
-
B.
doesNotUse
Indicates that one entity intentionally refrains from employing, utilizing, or relying on another entity, method, or resource.
-
C.
doesNotModel
Indicates that one entity explicitly does not represent, simulate, or serve as a model of another entity or concept.
-
D.
doesNotDependOn
Indicates that one entity’s state, behavior, or outcome is completely independent of, and not influenced or determined by, another entity.
-
E.
doesNotDetermine
Indicates that one entity or factor does not uniquely fix, decide, or specify the state, value, or outcome of another.
- F. None of above. chosen
Provenance (4 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_69f67de7792c81909b5e4e812d143624 |
completed | May 2, 2026, 10:42 p.m. |
| PD | Predicate disambiguation | batch_69f678ce54b081908c26edfd49e39c60 |
completed | May 2, 2026, 10:21 p.m. |
| PDg | Predicate description generation | batch_69f67d31cc60819084f64bd056e1ea4d |
completed | May 2, 2026, 10:39 p.m. |
Created at: April 28, 2026, 7:15 p.m.