Triple
T10568135
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Athi River basin |
E249404
|
entity |
| Predicate | includesRiver |
P165
|
FINISHED |
| Object | Galana River |
E386896
|
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: Galana River | Statement: [Athi River basin, includesRiver, Galana River]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Galana River Context triple: [Athi River basin, includesRiver, Galana River]
-
A.
Galana River
chosen
The Galana River is a major waterway in southeastern Kenya that flows through Tsavo National Park, supporting diverse wildlife and ecosystems before emptying into the Indian Ocean.
-
B.
Inza River
The Inza River is a waterway in western Russia that serves as a significant tributary within the Volga River 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.
Mologa River
The Mologa River is a significant waterway in western Russia that flows through several regions before emptying into the Rybinsk Reservoir on the Volga River.
-
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 (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_69d381c8bd708190acf3d275c908251e |
completed | April 6, 2026, 9:50 a.m. |
| NER | Named-entity recognition | batch_69d5272ff53c8190ae7c399d49b585f5 |
completed | April 7, 2026, 3:48 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69e4f31e3d5c8190a044eaf67ebc9f08 |
completed | April 19, 2026, 3:22 p.m. |
Created at: April 6, 2026, 12:37 p.m.