Triple
T29016035
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | CRIME attack |
E737308
|
entity |
| Predicate | targetsComponent |
P186459
|
FINISHED |
| Object | application-layer secrets embedded in compressed streams |
—
|
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: application-layer secrets embedded in compressed streams | Statement: [CRIME attack, targetsComponent, application-layer secrets embedded in compressed streams]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: targetsComponent Context triple: [CRIME attack, targetsComponent, application-layer secrets embedded in compressed streams]
-
A.
targetsSource
Indicates that something is directed at, aimed toward, or focused on a specified source as its primary origin or object.
-
B.
targetsUseCase
Indicates that one entity is aimed at or designed to address a particular use case associated with another entity.
-
C.
targetsSystems
Indicates that an entity is directed at, attacks, or is intended to affect specific systems.
-
D.
targetsProvidedBy
Indicates that one entity supplies or makes available specific targets for another entity to use or act upon.
-
E.
targetsGroup
Indicates that an action, influence, or effect is directed toward a specific group as its intended recipient or focus.
- 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_69f077ee19f881909af48f9cab00a2e5 |
completed | April 28, 2026, 9:03 a.m. |
| NER | Named-entity recognition | batch_69f9fe1a1ca4819084c196f0041f0be2 |
completed | May 5, 2026, 2:26 p.m. |
| PD | Predicate disambiguation | batch_69f7cf769338819092a5f42653dcc956 |
completed | May 3, 2026, 10:43 p.m. |
| PDg | Predicate description generation | batch_69f9fd66eed48190bdc26a8def328c2d |
completed | May 5, 2026, 2:23 p.m. |
Created at: April 28, 2026, 9:45 a.m.