Triple
T8918498
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | DNSSEC KSK |
E212351
|
entity |
| Predicate | securityImpactOfCompromise |
P53536
|
FINISHED |
| Object | loss of trust in zone DNSSEC chain |
—
|
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: loss of trust in zone DNSSEC chain | Statement: [DNSSEC KSK, securityImpactOfCompromise, loss of trust in zone DNSSEC chain]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: securityImpactOfCompromise Context triple: [DNSSEC KSK, securityImpactOfCompromise, loss of trust in zone DNSSEC chain]
-
A.
securityChallengesImpact
Indicates how security-related challenges affect or influence a given system, process, or outcome.
-
B.
associatedWithCompromise
Indicates a relationship where an entity is linked to, involved in, or affected by a security compromise or breach.
-
C.
integrityImpact
Indicates the extent to which the relationship or action compromises, alters, or destroys the accuracy, consistency, or trustworthiness of the affected entity’s information or state.
-
D.
riskIfBreached
chosen
Indicates that a breach of the referenced entity or condition would expose or create a potential risk or harm.
-
E.
majorSecurityIssue
Indicates that the subject faces or causes a significant security vulnerability or threat.
- 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_69ca8393b1808190bd4336787ffa2c40 |
completed | March 30, 2026, 2:07 p.m. |
| NER | Named-entity recognition | batch_69cc6613639881909090d060f388a865 |
completed | April 1, 2026, 12:25 a.m. |
| PD | Predicate disambiguation | batch_69cc5ed0ef3c81908cc69eac852ee12a |
completed | March 31, 2026, 11:54 p.m. |
Created at: March 30, 2026, 6:56 p.m.