Triple
T20072302
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Banyamulenge |
E499767
|
entity |
| Predicate | displacementStatus |
P49738
|
FINISHED |
| Object | subject to 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: subject to internal displacement due to conflict | Statement: [Banyamulenge, displacementStatus, subject to internal displacement due to conflict]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: displacementStatus Context triple: [Banyamulenge, displacementStatus, subject to internal displacement due to conflict]
-
A.
disappearanceStatus
Indicates the state or condition of whether and how something or someone has gone missing or ceased to be present.
-
B.
displacement
Indicates a change in an entity’s position from one location to another, typically specifying both direction and magnitude of that movement.
-
C.
displacementCategory
chosen
Indicates the type or classification of a displacement event or condition associated with an entity.
-
D.
displacementVariant
Indicates a relationship where one entity is an alternative or modified form of another that differs specifically in its spatial position or displacement.
-
E.
displacementRate
Indicates the rate at which an entity’s position changes over time relative to a reference point or frame.
- 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_69da627770948190997f486f9a2e370f |
completed | April 11, 2026, 3:02 p.m. |
| NER | Named-entity recognition | batch_69e664392c748190a6cc472f80b8c74b |
completed | April 20, 2026, 5:36 p.m. |
| PD | Predicate disambiguation | batch_69e54cf369b88190931532420517dac7 |
completed | April 19, 2026, 9:45 p.m. |
Created at: April 11, 2026, 3:40 p.m.