Triple
T7954521
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Nemuro Strait |
E184697
|
entity |
| Predicate | hasSecurityRelevance |
P25437
|
FINISHED |
| Object | military monitoring |
—
|
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: military monitoring | Statement: [Nemuro Strait, hasSecurityRelevance, military monitoring]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasSecurityRelevance Context triple: [Nemuro Strait, hasSecurityRelevance, military monitoring]
-
A.
hasSecurityRelationship
Indicates a relationship in which one entity provides, manages, or is otherwise linked to the security or protection of another entity.
-
B.
hasSecurityDimension
Indicates that something possesses or is associated with a particular aspect or dimension of security.
-
C.
hasSecurityConsideration
chosen
Indicates that there is a relevant security-related issue, risk, or precaution associated with the referenced entity.
-
D.
hasSecurityNotion
Indicates that one entity possesses, defines, or is associated with a particular concept or notion of security in relation to another entity or context.
-
E.
hasSecurityPresence
Indicates that some form of security personnel, system, or measures are present at or associated with an entity or location.
- 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_69ca8292cba881908a64427b938dac47 |
completed | March 30, 2026, 2:02 p.m. |
| NER | Named-entity recognition | batch_69cb3b5f74308190aa63a22c3d5feacc |
completed | March 31, 2026, 3:11 a.m. |
| PD | Predicate disambiguation | batch_69cb0473d7dc8190a25d0cf460b9fcbe |
completed | March 30, 2026, 11:17 p.m. |
Created at: March 30, 2026, 5:11 p.m.