Triple
T8290600
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | PrivX |
E193883
|
entity |
| Predicate | implementsSecurityModel |
P35862
|
FINISHED |
| Object | zero-trust |
—
|
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: zero-trust | Statement: [PrivX, implementsSecurityModel, zero-trust]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: implementsSecurityModel Context triple: [PrivX, implementsSecurityModel, zero-trust]
-
A.
securityModelIdentifier
chosen
Indicates the specific security model or framework under which an entity, interaction, or policy is defined or governed.
-
B.
hasSecurityArchitecture
Indicates that an entity is associated with or defined by a particular security architecture design or framework.
-
C.
hasSecuritySupport
Indicates that one entity provides security-related assistance, maintenance, or protection services for another entity.
-
D.
hasSecurityDimension
Indicates that something possesses or is associated with a particular aspect or dimension of security.
-
E.
securityModelChange
Indicates that a change has occurred in the security model governing access, permissions, or protection mechanisms between entities.
- 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_69ca82e32db481908b72f3804fa71152 |
completed | March 30, 2026, 2:04 p.m. |
| NER | Named-entity recognition | batch_69cb7c9b65e0819083ddc82fb7c4a5f3 |
completed | March 31, 2026, 7:49 a.m. |
| PD | Predicate disambiguation | batch_69cb70b5b5348190b296e0ecec95de60 |
completed | March 31, 2026, 6:59 a.m. |
Created at: March 30, 2026, 5:52 p.m.