Triple
T967294
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | MONUSCO |
E20864
|
entity |
| Predicate | operatesInProvince |
P794
|
FINISHED |
| Object | Ituri |
E108956
|
NE 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: Ituri | Statement: [MONUSCO, operatesInProvince, Ituri]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Ituri Context triple: [MONUSCO, operatesInProvince, Ituri]
-
A.
Ituri Province
chosen
Ituri Province is a conflict-affected region in northeastern Democratic Republic of the Congo known for its ethnic tensions, rich natural resources, and vulnerability to public health crises.
-
B.
South Kivu
South Kivu is a conflict-affected province in the eastern Democratic Republic of the Congo, known for its ethnic tensions, mineral wealth, and presence of numerous armed groups.
-
C.
Muanda, Democratic Republic of the Congo
Muanda is a coastal town and oil port in the far west of the Democratic Republic of the Congo, situated on the Atlantic Ocean close to the country’s short coastline.
-
D.
Kibondo
Kibondo is a town in western Tanzania that serves as an administrative and commercial center in the Kigoma Region.
-
E.
Kivu
Kivu is a conflict-affected region in eastern Democratic Republic of the Congo known for its rich natural resources, humanitarian crises, and recurrent outbreaks of violence and disease.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
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_69a493b33d2c81909c52c369d3ca8436 |
completed | March 1, 2026, 7:29 p.m. |
| NER | Named-entity recognition | batch_69a4b75103688190a14342eef3842984 |
completed | March 1, 2026, 10:01 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ac2a11e4148190bb18849c52c2ed9a |
completed | March 7, 2026, 1:37 p.m. |
Created at: March 1, 2026, 7:40 p.m.