Triple
T5181949
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | South Kivu |
E116941
|
entity |
| Predicate | largestCity |
P235
|
FINISHED |
| Object | Bukavu |
E482939
|
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: Bukavu | Statement: [South Kivu, largestCity, Bukavu]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Bukavu Context triple: [South Kivu, largestCity, Bukavu]
-
A.
Bukavu
chosen
Bukavu is a major city in the eastern Democratic Republic of the Congo, located on the southwestern shore of Lake Kivu near the Rwandan border.
-
B.
Gitega
Gitega is the political and administrative capital city of Burundi, located in the central part of the country.
-
C.
Kigali
Kigali is the capital and largest city of Rwanda, known as a major political and economic hub in East Africa.
-
D.
Mbandaka
Mbandaka is a city in the northwestern Democratic Republic of the Congo, located on the Congo River and serving as a regional commercial and administrative center.
-
E.
Butembo
Butembo is a major commercial city in eastern Democratic Republic of the Congo, known as a trading hub and economic center in North Kivu.
- 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_69bd446140f08190becb93c61158f27f |
completed | March 20, 2026, 12:58 p.m. |
| NER | Named-entity recognition | batch_69bd799bc58c819098a8e91e21baaef4 |
completed | March 20, 2026, 4:45 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69bee07d20208190a423a9a395ac9d32 |
completed | March 21, 2026, 6:16 p.m. |
Created at: March 20, 2026, 1:45 p.m.