Triple
T14871312
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Committee on Hemispheric Security |
E349749
|
entity |
| Predicate | typeOfSecurityAddressed |
P115947
|
FINISHED |
| Object | traditional military 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: traditional military security | Statement: [Committee on Hemispheric Security, typeOfSecurityAddressed, traditional military security]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: typeOfSecurityAddressed Context triple: [Committee on Hemispheric Security, typeOfSecurityAddressed, traditional military security]
-
A.
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.
-
B.
securityTypeListed
Indicates that a security is officially listed and traded on a recognized exchange or trading venue.
-
C.
vulnerabilityType
Indicates the specific kind or category of vulnerability associated with an entity or situation.
-
D.
threatTypeAddressed
Indicates that a given action, measure, or entity is specifically intended to counter or mitigate a particular type of threat.
-
E.
protectionType
Indicates the kind or method of protection that is applied to or associated with an entity.
- 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_69d822ee4f408190b6ac3b2fa434f0df |
completed | April 9, 2026, 10:06 p.m. |
| NER | Named-entity recognition | batch_69ded57967748190a7c05ebb74aacb7c |
completed | April 15, 2026, 12:02 a.m. |
| PD | Predicate disambiguation | batch_69de8c1a2bcc81908f914e2e2ced65eb |
completed | April 14, 2026, 6:48 p.m. |
| PDg | Predicate description generation | batch_69de8f4b67cc8190b84b59fcec5cf579 |
completed | April 14, 2026, 7:02 p.m. |
Created at: April 10, 2026, 1:55 a.m.