Triple
T28886441
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Karenni |
E732572
|
entity |
| Predicate | displacementIssue |
P49738
|
FINISHED |
| Object | internal displacement due to conflict |
—
|
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: internal displacement due to conflict | Statement: [Karenni, displacementIssue, internal displacement due to conflict]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: displacementIssue Context triple: [Karenni, displacementIssue, internal displacement due to conflict]
-
A.
displacement
Indicates a change in an entity’s position from one location to another, typically specifying both direction and magnitude of that movement.
-
B.
displacementCause
Indicates a causal relationship where one entity is responsible for the displacement or forced movement of another entity from its original location or situation.
-
C.
displacementOccurred
Indicates that an entity has been moved from its original position or location to a different one.
-
D.
displacementCategory
chosen
Indicates the type or classification of a displacement event or condition associated with an entity.
-
E.
displacementOption
Indicates an available way or method by which something or someone can be moved, relocated, or shifted from one position or state to another.
- 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_69f05b07bdec819080cadfe147aa1f25 |
completed | April 28, 2026, 7 a.m. |
| NER | Named-entity recognition | batch_69f65f7731e4819099d5bd3d915ee266 |
completed | May 2, 2026, 8:32 p.m. |
| PD | Predicate disambiguation | batch_69f65c2198208190a3954086c22cfcbf |
completed | May 2, 2026, 8:18 p.m. |
Created at: April 28, 2026, 7:50 a.m.