Triple
T7574790
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Kalemie |
E179333
|
entity |
| Predicate | river |
P165
|
FINISHED |
| Object | Lukuga River |
E232618
|
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: Lukuga River | Statement: [Kalemie, river, Lukuga River]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Lukuga River Context triple: [Kalemie, river, Lukuga River]
-
A.
Lukuga River
chosen
The Lukuga River is a major river in central Africa that drains Lake Tanganyika westward toward the Congo River basin.
-
B.
Ruvubu River
The Ruvubu River is a major East African river that flows through Burundi and Tanzania, forming part of the upper Nile basin.
-
C.
Ulanga River
The Ulanga River is a fictional East African waterway famously depicted as the treacherous river route navigated in C.S. Forester’s novel and the classic film "The African Queen."
-
D.
Msunduzi River
The Msunduzi River is a river in South Africa’s KwaZulu-Natal province that forms part of the drainage system feeding into the Lake St Lucia estuarine complex.
-
E.
Mfolozi River
The Mfolozi River is a major river in KwaZulu-Natal, South Africa, known for flowing through the Hluhluwe–iMfolozi Park and draining into the Indian Ocean near the iSimangaliso Wetland Park.
- 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_69c69f316e50819081a271c85c06f918 |
completed | March 27, 2026, 3:16 p.m. |
| NER | Named-entity recognition | batch_69c6f94a25148190b5b76e000e0336c4 |
completed | March 27, 2026, 9:40 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c922a94b3881908a3482ca45891df7 |
completed | March 29, 2026, 1:01 p.m. |
Created at: March 27, 2026, 3:51 p.m.