Triple
T8246885
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | APT |
E192870
|
entity |
| Predicate | supportsAutomaticDependencyInstallation |
P81167
|
FINISHED |
| Object | yes |
—
|
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: yes | Statement: [APT, supportsAutomaticDependencyInstallation, yes]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: supportsAutomaticDependencyInstallation Context triple: [APT, supportsAutomaticDependencyInstallation, yes]
-
A.
supportsInstallation
Indicates that one entity is capable of enabling, handling, or being compatible with the installation of another entity.
-
B.
supportsTransitiveDependencies
Indicates that an entity provides or manages not only its direct dependencies but also all indirect (transitive) dependencies required through them.
-
C.
requiresInstallation
Indicates that one entity must be installed or set up before the other can be used or become operational.
-
D.
supportsAutoConfiguration
Indicates that one entity provides or enables automatic configuration capabilities for another entity or process.
-
E.
hasDependency
Indicates that one entity relies on or requires another entity in order to function, exist, or be fulfilled.
- 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_69ca82de7b8c81908d8106f8a53cff9b |
completed | March 30, 2026, 2:04 p.m. |
| NER | Named-entity recognition | batch_69cb787414508190a08cf47d1545ce50 |
completed | March 31, 2026, 7:32 a.m. |
| PD | Predicate disambiguation | batch_69cb36b437e881909958591357e83b9d |
completed | March 31, 2026, 2:51 a.m. |
| PDg | Predicate description generation | batch_69cb447c146081909decf97bbd26c496 |
completed | March 31, 2026, 3:50 a.m. |
Created at: March 30, 2026, 5:48 p.m.