Triple
T28609395
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | FormatGuard |
E724134
|
entity |
| Predicate | mitigatesVulnerability |
P149336
|
FINISHED |
| Object | buffer overflow |
—
|
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: buffer overflow | Statement: [FormatGuard, mitigatesVulnerability, buffer overflow]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: mitigatesVulnerability Context triple: [FormatGuard, mitigatesVulnerability, buffer overflow]
-
A.
builtAsMitigationFor
Indicates that one entity was constructed specifically to reduce, prevent, or counteract a particular risk, problem, or adverse impact associated with another entity.
-
B.
mitigationStrategy
chosen
Indicates a relationship where one entity serves as a method or approach used to reduce, control, or lessen the negative impact, risk, or severity associated with another entity or situation.
-
C.
requiresMitigation
Indicates that something poses a risk or issue that must be addressed through specific mitigation actions or measures.
-
D.
securityVulnerability
Indicates that an entity has a weakness or flaw that could be exploited to compromise its security.
-
E.
vulnerabilityType
Indicates the specific kind or category of vulnerability associated with an entity or situation.
- 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_69f01d816d7c8190a1fe27e3434041dc |
completed | April 28, 2026, 2:37 a.m. |
| NER | Named-entity recognition | batch_69f652a492108190b885b955ce147d3c |
completed | May 2, 2026, 7:38 p.m. |
| PD | Predicate disambiguation | batch_69f651aad92c8190b874b3b5f9f64434 |
completed | May 2, 2026, 7:34 p.m. |
Created at: April 28, 2026, 4:29 a.m.