Triple
T13363024
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Ewaso Ng’iro |
E318865
|
entity |
| Predicate | partOf |
P40
|
FINISHED |
| Object | Ewaso Ng’iro river basin |
E763475
|
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: Ewaso Ng’iro river basin | Statement: [Ewaso Ng’iro, partOf, Ewaso Ng’iro river basin]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Ewaso Ng’iro river basin Context triple: [Ewaso Ng’iro, partOf, Ewaso Ng’iro river basin]
-
A.
Ewaso Ng'iro River
chosen
The Ewaso Ng'iro River is a major river in East Africa that flows through arid and semi-arid regions of Kenya and Tanzania, supporting diverse wildlife and pastoral communities before reaching Lake Natron.
-
B.
Ruganzu River
Ruganzu River is a waterway in Rwanda that flows through the capital city, Kigali.
-
C.
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.
-
D.
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.
-
E.
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."
- 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_69d806b7bbac8190b85278c87fa7aff3 |
completed | April 9, 2026, 8:06 p.m. |
| NER | Named-entity recognition | batch_69da628affd081909f1790d333f0eef4 |
completed | April 11, 2026, 3:02 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f7267c99788190b158b1d9f57ceba2 |
completed | May 3, 2026, 10:42 a.m. |
Created at: April 9, 2026, 9:32 p.m.