Triple
T8247890
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | AUR |
E192891
|
entity |
| Predicate | workflow |
P26991
|
FINISHED |
| Object | users download PKGBUILD and build package locally |
—
|
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: users download PKGBUILD and build package locally | Statement: [AUR, workflow, users download PKGBUILD and build package locally]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: workflow Context triple: [AUR, workflow, users download PKGBUILD and build package locally]
-
A.
typicalWorkflow
chosen
Indicates that one process, sequence, or set of actions represents the standard or commonly followed way of performing a task or achieving a goal.
-
B.
formOfWork
Indicates that one creative work is a specific form, version, or expression of another related work.
-
C.
workModel
Indicates that one entity serves as, or is based on, a particular model used for work, operation, or functional behavior.
-
D.
workOn
Indicates that an agent is actively engaged in performing tasks or making progress on a particular project, object, or assignment.
-
E.
worksStatus
Indicates the current state or condition of an entity’s work or project, such as whether it is planned, in progress, completed, or otherwise categorized.
- 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_69ca82de7b8c81908d8106f8a53cff9b |
completed | March 30, 2026, 2:04 p.m. |
| NER | Named-entity recognition | batch_69cb7875318c819095f971ba513c54fd |
completed | March 31, 2026, 7:32 a.m. |
| PD | Predicate disambiguation | batch_69cb36b437e881909958591357e83b9d |
completed | March 31, 2026, 2:51 a.m. |
Created at: March 30, 2026, 5:48 p.m.