Triple
T18799500
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Numba |
E459724
|
entity |
| Predicate | decorator |
P129627
|
FINISHED |
| Object | @jit |
—
|
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: @jit | Statement: [Numba, decorator, @jit]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: decorator Context triple: [Numba, decorator, @jit]
-
A.
decoratorTarget
chosen
Indicates that one entity serves as the target to which a decorator (such as an annotation or modifier) is applied.
-
B.
decoratedFor
Indicates that an entity has received a decoration, award, or honor in recognition of a specific action, service, or achievement.
-
C.
hasDecor
Indicates that one entity possesses, features, or is adorned with a particular decorative element or style.
-
D.
decoration
Indicates that one entity serves as an ornament or embellishing element for another entity, enhancing its appearance or style.
-
E.
decorationClass
Indicates that one entity serves as a decorative classification or style category applied to another entity.
- 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_69d8d398c7d4819091cb2f7e48948aeb |
completed | April 10, 2026, 10:40 a.m. |
| NER | Named-entity recognition | batch_69e5a02273b481909bc250144a0ace32 |
completed | April 20, 2026, 3:40 a.m. |
| PD | Predicate disambiguation | batch_69e48d16dd34819096e096d0c0e4c15c |
completed | April 19, 2026, 8:06 a.m. |
Created at: April 10, 2026, 11:53 a.m.