Triple
T16170424
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Somalia–Kenya border |
E392418
|
entity |
| Predicate | partOfSecurityOperation |
P52571
|
FINISHED |
| Object | Kenya Operation Linda Nchi area of operations |
—
|
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: Kenya Operation Linda Nchi area of operations | Statement: [Somalia–Kenya border, partOfSecurityOperation, Kenya Operation Linda Nchi area of operations]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: partOfSecurityOperation Context triple: [Somalia–Kenya border, partOfSecurityOperation, Kenya Operation Linda Nchi area of operations]
-
A.
securityOperation
Indicates an action or process carried out to protect, monitor, or defend assets, systems, or environments from threats or unauthorized activities.
-
B.
partOfMission
chosen
Indicates that one entity is a component, phase, or element belonging to or included within a larger mission.
-
C.
positionOnSecurity
Indicates the stance, opinion, or policy an entity holds regarding security-related issues or measures.
-
D.
isPartOfSystemProtecting
Indicates that one entity functions as a component within a larger system whose purpose is to provide protection.
-
E.
partOfSystem
Indicates that one entity functions as a component or subsystem within the structure or organization of another 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_69d87f1d32208190942e4e499a80c18c |
completed | April 10, 2026, 4:39 a.m. |
| NER | Named-entity recognition | batch_69e21eb6de30819083af54b50ae5ae51 |
completed | April 17, 2026, 11:51 a.m. |
| PD | Predicate disambiguation | batch_69e219d642708190ba31a90dce76a210 |
completed | April 17, 2026, 11:30 a.m. |
Created at: April 10, 2026, 5:02 a.m.