Triple
T9034878
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Mathare |
E216465
|
entity |
| Predicate | hasRiver |
P165
|
FINISHED |
| Object | Mathare River |
E249405
|
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: Mathare River | Statement: [Mathare, hasRiver, Mathare River]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Mathare River Context triple: [Mathare, hasRiver, Mathare River]
-
A.
Mathare River
chosen
Mathare River is an urban river flowing through Nairobi, Kenya, known for passing densely populated informal settlements and facing significant pollution and environmental challenges.
-
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.
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.
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."
-
E.
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.
- 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_69ca83d10b608190b2b2f8e0a7faaf14 |
completed | March 30, 2026, 2:08 p.m. |
| NER | Named-entity recognition | batch_69cc6abf4af481908d21245332329d99 |
completed | April 1, 2026, 12:45 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69cfeb8ec0588190a24b4a2aa443399f |
completed | April 3, 2026, 4:32 p.m. |
Created at: March 30, 2026, 7:08 p.m.