Triple
T2118116
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Kirundi |
E43853
|
entity |
| Predicate | majorCityWhereSpoken |
P35609
|
FINISHED |
| Object | Gitega |
E195559
|
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: Gitega | Statement: [Kirundi, majorCityWhereSpoken, Gitega]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Gitega Context triple: [Kirundi, majorCityWhereSpoken, Gitega]
-
A.
Gitega
chosen
Gitega is the political and administrative capital city of Burundi, located in the central part of the country.
-
B.
Kigali
Kigali is the capital and largest city of Rwanda, known as a major political and economic hub in East Africa.
-
C.
Mpanda
Mpanda is a town in western Tanzania that serves as an important administrative and commercial hub for the surrounding region.
-
D.
Masvingo
Masvingo is one of Zimbabwe’s oldest urban centers, located in the country’s southeastern region near the Great Zimbabwe ruins.
-
E.
Tabora
Tabora is a historic town in western Tanzania known as a regional trade center and former hub of 19th-century caravan routes.
- 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_69a88717cfe48190b7ecdd68c824848a |
completed | March 4, 2026, 7:25 p.m. |
| NER | Named-entity recognition | batch_69abbdc3a12081908e95ae870207367f |
completed | March 7, 2026, 5:55 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ae5197259c8190bffbbb4abaaddfd0 |
completed | March 9, 2026, 4:50 a.m. |
Created at: March 4, 2026, 7:44 p.m.