Triple
T8117000
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | USM |
E189499
|
entity |
| Predicate | securityScope |
P81364
|
FINISHED |
| Object | message-level security |
—
|
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: message-level security | Statement: [USM, securityScope, message-level security]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: securityScope Context triple: [USM, securityScope, message-level security]
-
A.
securityContext
Indicates the security-related settings or constraints under which an action, process, or interaction is performed.
-
B.
securityAspect
Indicates a relationship where something pertains to, represents, or characterizes a particular aspect or dimension of security.
-
C.
securityRole
Indicates that an entity holds a specific security-related role, permission level, or access profile within a system or context.
-
D.
securityType
Indicates the classification or category of security associated with an entity, such as the type of financial instrument, protection mechanism, or access control applied.
-
E.
accessScope
Indicates the extent or boundaries of access that one entity has to another entity or resource.
- 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_69ca82baad008190ab2859712b9b1607 |
completed | March 30, 2026, 2:03 p.m. |
| NER | Named-entity recognition | batch_69cb4664fef881908b0dc7b158aca398 |
completed | March 31, 2026, 3:58 a.m. |
| PD | Predicate disambiguation | batch_69cb368e7f4c81909aabd7716f0de79d |
completed | March 31, 2026, 2:50 a.m. |
| PDg | Predicate description generation | batch_69cb46635424819085d086972b264280 |
completed | March 31, 2026, 3:58 a.m. |
Created at: March 30, 2026, 5:33 p.m.