Triple
T1979799
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | USSF-44 |
E42997
|
entity |
| Predicate | missionSecurityLevel |
P406
|
FINISHED |
| Object | highly classified |
—
|
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: highly classified | Statement: [USSF-44, missionSecurityLevel, highly classified]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: missionSecurityLevel Context triple: [USSF-44, missionSecurityLevel, highly classified]
-
A.
securityLevelComponents
Indicates that a particular security level is composed of, or associated with, a specific set of component elements or factors.
-
B.
securityStatus
Indicates the current level or condition of protection, risk, or vulnerability associated with an entity or system.
-
C.
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.
-
D.
protectionLevel
Indicates the degree or extent to which something is safeguarded against harm, risk, or unauthorized access.
-
E.
securityClassification
chosen
Indicates the level or category of security sensitivity or access restriction assigned to an entity.
- 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_69a88713ddc88190a969715658ebe7a8 |
completed | March 4, 2026, 7:25 p.m. |
| NER | Named-entity recognition | batch_69abb96f932881908bebfc4176fda7c0 |
completed | March 7, 2026, 5:36 a.m. |
| PD | Predicate disambiguation | batch_69abb798d288819083132cf14605bd02 |
completed | March 7, 2026, 5:28 a.m. |
Created at: March 4, 2026, 7:36 p.m.