Triple
T1709636
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Burundi |
E36947
|
entity |
| Predicate | majorCity |
P316
|
FINISHED |
| Object | Bujumbura |
E26895
|
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: Bujumbura | Statement: [Burundi, majorCity, Bujumbura]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Bujumbura Context triple: [Burundi, majorCity, Bujumbura]
-
A.
Kigali
Kigali is the capital and largest city of Rwanda, known as a major political and economic hub in East Africa.
-
B.
Gitega
Gitega is the political and administrative capital city of Burundi, located in the central part of the country.
-
C.
Africa/Bujumbura
chosen
Africa/Bujumbura is the IANA time zone identifier representing the local time observed in Bujumbura, Burundi, which follows Central Africa Time.
-
D.
Masvingo
Masvingo is one of Zimbabwe’s oldest urban centers, located in the country’s southeastern region near the Great Zimbabwe ruins.
-
E.
Kisangani
Kisangani is a major city in northeastern Democratic Republic of the Congo, known as a key inland port and commercial center in the central African rainforest region.
- 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_69a88617439c819094ffb5d16a0f6307 |
completed | March 4, 2026, 7:20 p.m. |
| NER | Named-entity recognition | batch_69aa631329088190a2ce8f755bd69fc7 |
completed | March 6, 2026, 5:16 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69adb5bc1db881908e859dbde2ea2d98 |
completed | March 8, 2026, 5:45 p.m. |
Created at: March 4, 2026, 7:30 p.m.