Triple
T37214842
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Callixte Mbarushimana |
E922708
|
entity |
| Predicate | areaOfConflictInvolvement |
P34508
|
FINISHED |
| Object | North Kivu |
—
|
NE NERFINISHED |
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: North Kivu | Statement: [Callixte Mbarushimana, areaOfConflictInvolvement, North Kivu]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: areaOfConflictInvolvement Context triple: [Callixte Mbarushimana, areaOfConflictInvolvement, North Kivu]
-
A.
regionOfConflict
chosen
Indicates that a specified region is the location where a particular conflict or dispute takes place.
-
B.
conflictsInvolvedIn
Indicates that an entity participates as a party or actor in one or more conflicts.
-
C.
conflictCountry
Indicates that there is an armed conflict or war involving the referenced country as a participant.
-
D.
militaryConflictIn
Indicates that a military conflict takes place within, or is geographically located in, a specified area or region.
-
E.
conflictExperience
Indicates that an entity has undergone or been involved in a conflict, such as a dispute, struggle, or confrontation.
- 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_69f76ea6f5288190b8d9988f613811c0 |
completed | May 3, 2026, 3:49 p.m. |
| NER | Named-entity recognition | batch_69fb55de3b9c8190a7656aeab3c3ffbc |
completed | May 6, 2026, 2:53 p.m. |
| PD | Predicate disambiguation | batch_69fb35bc92e08190bff447624e2df791 |
completed | May 6, 2026, 12:36 p.m. |
Created at: May 3, 2026, 4:15 p.m.