Triple
T2555642
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Transparent Data Encryption |
E56723
|
entity |
| Predicate | doesNotProtectAgainst |
P6922
|
FINISHED |
| Object | attacks by authenticated users with query access |
—
|
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: attacks by authenticated users with query access | Statement: [Transparent Data Encryption, doesNotProtectAgainst, attacks by authenticated users with query access]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: doesNotProtectAgainst Context triple: [Transparent Data Encryption, doesNotProtectAgainst, attacks by authenticated users with query access]
-
A.
doesNotProtect
chosen
Indicates that an entity fails to provide protection or safeguarding to another entity or object.
-
B.
doesNotCover
Indicates that one entity fails to include, protect, or extend over another entity or area.
-
C.
doesNot
Indicates that a specified entity lacks, refrains from, or fails to perform a particular action or exhibit a particular property in relation to another entity or context.
-
D.
doesNotAbolish
Indicates that one entity, action, or law does not eliminate, revoke, or put an end to another.
-
E.
providesProtectionAgainst
Indicates that one entity serves to guard, shield, or defend another entity from a specified harm, threat, or adverse effect.
- 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_69ab4a4bfec081908039988ec4c86e28 |
completed | March 6, 2026, 9:42 p.m. |
| NER | Named-entity recognition | batch_69abd5a33234819082ad49fa6594b6be |
completed | March 7, 2026, 7:37 a.m. |
| PD | Predicate disambiguation | batch_69abd0c8b6f08190a68645db3e8b779a |
completed | March 7, 2026, 7:16 a.m. |
Created at: March 6, 2026, 9:48 p.m.