Triple
T19287413
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Malewa River |
E482349
|
entity |
| Predicate | hasTributary |
P415
|
FINISHED |
| Object | Gilgil River |
—
|
NE NERFINISHED |
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: Gilgil River | Statement: [Malewa River, hasTributary, Gilgil River]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Gilgil River Context triple: [Malewa River, hasTributary, Gilgil River]
-
A.
Gilgil River
chosen
Gilgil River is a freshwater river in Kenya’s Rift Valley that feeds into Lake Naivasha and supports surrounding agricultural and wildlife ecosystems.
-
B.
Abasha River
The Abasha River is a waterway in western Georgia that flows through the Samegrelo-Zemo Svaneti region before joining the Rioni River.
-
C.
Ngadda River
The Ngadda River is a waterway in northeastern Nigeria that flows through the city of Maiduguri and contributes to the region’s drainage into Lake Chad.
-
D.
Safi River
The Safi River is a watercourse in northwestern Iran that flows through the city of Maragheh in East Azerbaijan Province.
-
E.
Safi River
The Safi River is a significant tributary watercourse that feeds into eastern India’s Damodar River system.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (2 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_69d8e8cf61b0819096fe3e4107827c4e |
completed | April 10, 2026, 12:10 p.m. |
| NER | Named-entity recognition | batch_69e5fc032f108190a89e47d1458f3f55 |
completed | April 20, 2026, 10:12 a.m. |
Created at: April 10, 2026, 1:30 p.m.