Triple
T35688929
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Kachin conflict |
E1031233
|
entity |
| Predicate | hasDisplacedPopulation |
P1943
|
FINISHED |
| Object | tens of thousands of civilians |
—
|
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: tens of thousands of civilians | Statement: [Kachin conflict, hasDisplacedPopulation, tens of thousands of civilians]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasDisplacedPopulation Context triple: [Kachin conflict, hasDisplacedPopulation, tens of thousands of civilians]
-
A.
displacedPopulationType
Indicates the category or nature of a population that has been forced to leave its usual place of residence (e.g., refugees, internally displaced persons).
-
B.
displacedBy
Indicates that one entity has been moved, replaced, or forced out of its original position, role, or state by another entity.
-
C.
displacedPeopleEstimate
chosen
Indicates an estimated number of people who have been forced to leave their homes or usual places of residence due to a particular event or situation.
-
D.
impactOfDisplacement
Indicates the effect or consequences that a displacement event has on the affected entity or context.
-
E.
hasRefugeePopulation
Indicates that an entity hosts, contains, or is associated with a population of refugees.
- 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_69f76e0c73ec819080ab60a9e2f5f1f6 |
completed | May 3, 2026, 3:47 p.m. |
| NER | Named-entity recognition | batch_69ff4de66ba481908e7184b3cf9d4d2d |
completed | May 9, 2026, 3:08 p.m. |
| PD | Predicate disambiguation | batch_69ff4c702a5881909c6684c74807e945 |
completed | May 9, 2026, 3:02 p.m. |
Created at: May 3, 2026, 4:05 p.m.