Triple
T32480960
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | gslapt |
E830105
|
entity |
| Predicate | supportsDistributionFamily |
P206289
|
FINISHED |
| Object | Slackware-based distributions |
—
|
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: Slackware-based distributions | Statement: [gslapt, supportsDistributionFamily, Slackware-based distributions]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: supportsDistributionFamily Context triple: [gslapt, supportsDistributionFamily, Slackware-based distributions]
-
A.
supportsOperatingSystemFamily
Indicates that one entity is compatible with and can function correctly on a specified family of operating systems.
-
B.
supportsModelFamily
Indicates that one entity provides compatibility, functionality, or resources necessary for the operation or use of a particular model family.
-
C.
hasDistributionType
Indicates the type or pattern of distribution associated with an entity, specifying how something is spread, allocated, or made available.
-
D.
supportsFormFactorFamily
Indicates that one entity is compatible with and can operate using a specified family of physical or design form factors.
-
E.
supportsProcessorFamily
Indicates that one entity (such as hardware or software) is compatible with and can operate using a specified processor family.
- 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_69f3491ff3b48190b50a7fa00bb05b1f |
completed | April 30, 2026, 12:20 p.m. |
| NER | Named-entity recognition | batch_6a037c9141dc819098d7fcc36e69882c |
completed | May 12, 2026, 7:16 p.m. |
| PD | Predicate disambiguation | batch_6a0379edf2d88190b492fca86ed23cac |
completed | May 12, 2026, 7:05 p.m. |
| PDg | Predicate description generation | batch_6a037c7fb9f88190b384b1b68200aef0 |
completed | May 12, 2026, 7:16 p.m. |
Created at: May 1, 2026, 12:58 a.m.