Triple
T2649110
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Rybinsk Reservoir |
E53854
|
entity |
| Predicate | locatedOnRiver |
P165
|
FINISHED |
| Object | Mologa River |
E318423
|
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: Mologa River | Statement: [Rybinsk Reservoir, locatedOnRiver, Mologa River]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Mologa River Context triple: [Rybinsk Reservoir, locatedOnRiver, Mologa River]
-
A.
Mologa River
chosen
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.
-
B.
Mbagathi River
Mbagathi River is a watercourse in Kenya that forms part of the southern boundary of Nairobi National Park and supports its wildlife and ecosystems.
-
C.
Mathare River
Mathare River is an urban river flowing through Nairobi, Kenya, known for passing densely populated informal settlements and facing significant pollution and environmental challenges.
-
D.
Nyabarongo River
The Nyabarongo River is a major river in Rwanda that forms part of the upper headwaters of the Nile and plays a key role in the region’s hydrology and agriculture.
-
E.
Lukuga River
The Lukuga River is a major river in central Africa that drains Lake Tanganyika westward toward the Congo River basin.
- 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_69ab495e192081909c77b622e8e7e15a |
completed | March 6, 2026, 9:38 p.m. |
| NER | Named-entity recognition | batch_69abd91ca1288190ba302b04bac4c153 |
completed | March 7, 2026, 7:51 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69b34ba6d2cc819091d748b8af7ccbe6 |
completed | March 12, 2026, 11:26 p.m. |
Created at: March 6, 2026, 9:53 p.m.