Triple
T32709668
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | jakarta.annotation.security.RolesAllowed |
E836363
|
entity |
| Predicate | effectOnClassLevel |
P52173
|
FINISHED |
| Object | applies to all methods of the class unless overridden |
—
|
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: applies to all methods of the class unless overridden | Statement: [jakarta.annotation.security.RolesAllowed, effectOnClassLevel, applies to all methods of the class unless overridden]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: effectOnClassLevel Context triple: [jakarta.annotation.security.RolesAllowed, effectOnClassLevel, applies to all methods of the class unless overridden]
-
A.
affectedClass
Indicates that one entity (typically a change, event, or issue) has an impact on or is relevant to a particular class or category of items.
-
B.
higherLevelEffect
Indicates that one entity produces an indirect or overarching influence or consequence on another entity or process at a more abstract or aggregated level.
-
C.
effectOnOthers
Indicates the impact or influence that one entity’s actions, presence, or state has on other entities.
-
D.
effectOnMembers
chosen
Indicates the impact or influence that something has on the members of a group or organization.
-
E.
effectOnUsage
Indicates how one factor or condition changes the way something is used, including the extent, manner, or frequency of its usage.
- 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_69fbaebc8f2c8190b94f1b4a3ec92e8c |
completed | May 6, 2026, 9:12 p.m. |
| PD | Predicate disambiguation | batch_69fbadf1e6008190a71bbd196ba06844 |
completed | May 6, 2026, 9:09 p.m. |
Created at: May 1, 2026, 1:10 a.m.