Triple
T7001092
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | NASK |
E162337
|
entity |
| Predicate | roleInCybersecurity |
P3571
|
FINISHED |
| Object | national-level incident response coordination |
—
|
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: national-level incident response coordination | Statement: [NASK, roleInCybersecurity, national-level incident response coordination]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: roleInCybersecurity Context triple: [NASK, roleInCybersecurity, national-level incident response coordination]
-
A.
roleInIndustry
Indicates the specific function, position, or capacity an entity holds within a particular industry or sector.
-
B.
technologyRole
Indicates the functional role or purpose that a technology plays within a system, process, or context.
-
C.
roleInEcosystem
chosen
Indicates the specific function or contribution an entity has within an ecosystem and how it interacts with other components of that system.
-
D.
roleInOperation
Indicates that an entity holds a specific function, duty, or position within a particular operation or activity.
-
E.
roleInIntegration
Indicates the specific function or responsibility an entity has within a combined or coordinated system, process, or integration.
- 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_69c68857ffc08190857dc62cd5253777 |
completed | March 27, 2026, 1:38 p.m. |
| NER | Named-entity recognition | batch_69c6dc0f8830819091f4356296234713 |
completed | March 27, 2026, 7:35 p.m. |
| PD | Predicate disambiguation | batch_69c6d7c67c94819084fdcf0398606027 |
completed | March 27, 2026, 7:17 p.m. |
Created at: March 27, 2026, 2:33 p.m.