Triple
T13574433
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Tsavo River |
E324245
|
entity |
| Predicate | partOf |
P40
|
FINISHED |
| Object | Athi–Galana–Sabaki River system |
E887113
|
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: Athi–Galana–Sabaki River system | Statement: [Tsavo River, partOf, Athi–Galana–Sabaki River system]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Athi–Galana–Sabaki River system Context triple: [Tsavo River, partOf, Athi–Galana–Sabaki River system]
-
A.
Nairobi River
The Nairobi River is a major waterway flowing through Kenya’s capital city, historically central to its development but now heavily impacted by urban pollution and restoration efforts.
-
B.
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.
-
C.
Ruganzu River
Ruganzu River is a waterway in Rwanda that flows through the capital city, Kigali.
-
D.
Thika River
Thika River is a Kenyan river that flows from the slopes of Mount Kenya through central Kenya, supporting agriculture, ecosystems, and local communities before joining the Tana River system.
-
E.
Sabaki River
chosen
The Sabaki River is one of Kenya’s major rivers, flowing from the central highlands to the Indian Ocean and supporting important ecosystems and communities along its course.
- 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_69d80769100c819099111274614f5ed2 |
completed | April 9, 2026, 8:09 p.m. |
| NER | Named-entity recognition | batch_69dbb02b1f108190a12af382d1de70bb |
completed | April 12, 2026, 2:46 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f76bba21f88190b8952fb0879e623d |
completed | May 3, 2026, 3:37 p.m. |
Created at: April 9, 2026, 9:48 p.m.