Triple
T4842837
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | SH 21-76 |
E108216
|
entity |
| Predicate | doctrineLevel |
P59727
|
FINISHED |
| Object | tactics, techniques, and procedures (TTPs) |
—
|
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: tactics, techniques, and procedures (TTPs) | Statement: [SH 21-76, doctrineLevel, tactics, techniques, and procedures (TTPs)]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: doctrineLevel Context triple: [SH 21-76, doctrineLevel, tactics, techniques, and procedures (TTPs)]
-
A.
documentationLevel
Indicates the extent or thoroughness to which something is described, specified, or supported by written or recorded documentation.
-
B.
doctrineExplainedBy
Indicates that an explanation or interpretation is provided for a particular doctrine by a specified source or agent.
-
C.
codificationLevel
Indicates the degree or extent to which something is formally systematized, standardized, or encoded into an explicit set of rules or structures.
-
D.
designationLevel
Indicates the specific rank, tier, or level assigned to an entity within a designation or classification system.
-
E.
configurationLevel
Indicates the degree or tier of settings or parameters applied to configure something within a system or context.
- 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_69bd4409b264819085ab855f3eb5381a |
completed | March 20, 2026, 12:56 p.m. |
| NER | Named-entity recognition | batch_69bd6e01872c81909607010c10538ad1 |
completed | March 20, 2026, 3:55 p.m. |
| PD | Predicate disambiguation | batch_69bd6c2375a4819098e16acb982c8fab |
completed | March 20, 2026, 3:47 p.m. |
| PDg | Predicate description generation | batch_69bd6dfff1488190a32bbb615bfab970 |
completed | March 20, 2026, 3:55 p.m. |
Created at: March 20, 2026, 1:25 p.m.