Triple
T32709669
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | jakarta.annotation.security.RolesAllowed |
E836363
|
entity |
| Predicate | effectOnMethodLevel |
P87861
|
FINISHED |
| Object | overrides class-level security for that method |
—
|
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: overrides class-level security for that method | Statement: [jakarta.annotation.security.RolesAllowed, effectOnMethodLevel, overrides class-level security for that method]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: effectOnMethodLevel Context triple: [jakarta.annotation.security.RolesAllowed, effectOnMethodLevel, overrides class-level security for that method]
-
A.
enqueueMethodEffect
Indicates that an operation adds a method (or its invocation) to a queue to be executed later.
-
B.
effectOnUsage
Indicates how one factor or condition changes the way something is used, including the extent, manner, or frequency of its usage.
-
C.
affectedLevel
Indicates the degree or extent to which one entity is impacted or influenced by another entity or event.
-
D.
higherLevelEffect
chosen
Indicates that one entity produces an indirect or overarching influence or consequence on another entity or process at a more abstract or aggregated level.
-
E.
effectOnOutput
Indicates how one factor, action, or condition influences or changes the resulting output of a process or system.
- 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_69f3493446148190819541f3ffe79975 |
completed | April 30, 2026, 12:21 p.m. |
| NER | Named-entity recognition | batch_69fbbc49da8c8190902bbb05d2477cab |
completed | May 6, 2026, 10:10 p.m. |
| PD | Predicate disambiguation | batch_69fbb13f34b08190bbbb220ac1e6e666 |
completed | May 6, 2026, 9:23 p.m. |
Created at: May 1, 2026, 1:10 a.m.