Triple
T16886097
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Ebola River |
E421543
|
entity |
| Predicate | tributaryOf |
P415
|
FINISHED |
| Object | Mongala River |
—
|
NE NERFINISHED |
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: Mongala River | Statement: [Ebola River, tributaryOf, Mongala River]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Mongala River Context triple: [Ebola River, tributaryOf, Mongala River]
-
A.
Unya River
The Unya River is a waterway in northwestern Russia that feeds into the larger Pechora River system.
-
B.
Nyangores River
Nyangores River is a key headwater stream in Kenya that contributes significantly to the flow and ecology of the Mara River basin.
-
C.
Lukusuzi River
The Lukusuzi River is a watercourse in eastern Zambia that forms a natural boundary and key ecological feature of Lukusuzi National Park.
-
D.
Tshuapa River
chosen
The Tshuapa River is a significant waterway in the Democratic Republic of the Congo that drains the central rainforest region and contributes to the Congo River basin.
-
E.
Usutu River
The Usutu River is a major river in southern Africa that flows through South Africa, Eswatini, and Mozambique before emptying into the Indian Ocean.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (2 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_69d889d470fc8190b4aec199636c0c56 |
completed | April 10, 2026, 5:25 a.m. |
| NER | Named-entity recognition | batch_69e3bbc126e881909dae8133ad34acc9 |
completed | April 18, 2026, 5:13 p.m. |
Created at: April 10, 2026, 5:29 a.m.