Triple
T15786227
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Northern Kenya |
E382744
|
entity |
| Predicate | hasEthnicConflictIssue |
P55763
|
FINISHED |
| Object | resource-based conflicts |
—
|
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: resource-based conflicts | Statement: [Northern Kenya, hasEthnicConflictIssue, resource-based conflicts]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasEthnicConflictIssue Context triple: [Northern Kenya, hasEthnicConflictIssue, resource-based conflicts]
-
A.
hasEthnicTensionHistory
chosen
Indicates that there has been a history of conflict, strain, or hostility between ethnic groups within the referenced context.
-
B.
ethnoPoliticalConflict
Indicates a relationship in which groups defined by ethnic identity are engaged in political struggle, tension, or violence against one another or against a governing authority.
-
C.
hasSignificantEthnicCompositionIssue
Indicates that there is a notable problem or concern related to the ethnic composition or ethnic balance within the referenced entity or context.
-
D.
hasPartOfConflict
Indicates that one conflict includes another conflict as a constituent or subordinate part of it.
-
E.
conflictCountry
Indicates that there is an armed conflict or war involving the referenced country as a participant.
- 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_69d86da16e188190b89af699f1ed0bfe |
completed | April 10, 2026, 3:25 a.m. |
| NER | Named-entity recognition | batch_69e0540380448190a025338f0e62e6d1 |
completed | April 16, 2026, 3:14 a.m. |
| PD | Predicate disambiguation | batch_69e00537bd1c81908d6e832792fd934f |
completed | April 15, 2026, 9:37 p.m. |
Created at: April 10, 2026, 4:48 a.m.