Triple
T8246886
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | APT |
E192870
|
entity |
| Predicate | supportsRepositoryAuthentication |
P81168
|
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, supportsRepositoryAuthentication, yes]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: supportsRepositoryAuthentication Context triple: [APT, supportsRepositoryAuthentication, yes]
-
A.
supportsRepositoryScope
Indicates that one entity provides or allows functionality to be applied at the level of an entire repository rather than to individual items within it.
-
B.
hasRepository
Indicates that an entity maintains or is associated with a specific repository (such as a code, data, or content store).
-
C.
supportsRegistration
Indicates that an entity provides the capability or functionality to handle or accept registration actions or processes.
-
D.
supportsACLs
Indicates that one entity provides or is compatible with access control lists (ACLs) for managing permissions on another entity.
-
E.
supportsOrganizationUseCase
Indicates that one entity provides the necessary functionality or conditions for an organization to carry out a specific use case or operational scenario.
- 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.