Triple
T11114659
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Kenga language |
E262853
|
entity |
| Predicate | belongsToBranch |
P4276
|
FINISHED |
| Object | Bongo–Bagirmi branch |
E904348
|
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: Bongo–Bagirmi branch | Statement: [Kenga language, belongsToBranch, Bongo–Bagirmi branch]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Bongo–Bagirmi branch Context triple: [Kenga language, belongsToBranch, Bongo–Bagirmi branch]
-
A.
Bongo–Bagirmi branch
chosen
The Bongo–Bagirmi branch is a subgroup of Central Sudanic languages spoken primarily in South Sudan, Chad, and the Central African Republic.
-
B.
Busega
Busega is a district-level settlement in northern Tanzania that forms part of the Simiyu Region.
-
C.
Ubangi-Shari
Ubangi-Shari was the French colonial territory in central Africa that later became the independent nation of the Central African Republic.
-
D.
Bafing River
The Bafing River is a significant West African river that rises in the Fouta Djallon highlands of Guinea and flows through Mali, playing a key role in the hydrology and development of the Senegal River basin.
-
E.
Siffu River
Siffu River is a significant waterway in the Cagayan Valley region of the Philippines, contributing to local agriculture, ecosystems, and settlements.
- 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_69d6aa9b46cc8190b19f9f0cc45bf322 |
completed | April 8, 2026, 7:20 p.m. |
| NER | Named-entity recognition | batch_69d79aa637888190935e852281408356 |
completed | April 9, 2026, 12:25 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69e42d7da99881908d38ea66c37dfb92 |
completed | April 19, 2026, 1:18 a.m. |
Created at: April 8, 2026, 9:27 p.m.