Triple
T16568639
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Mopti Region |
E402527
|
entity |
| Predicate | traversedBy |
P225
|
FINISHED |
| Object | Bani 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: Bani River | Statement: [Mopti Region, traversedBy, Bani River]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Bani River Context triple: [Mopti Region, traversedBy, Bani River]
-
A.
Bani River
chosen
The Bani River is a significant West African waterway that joins the Niger River in Mali, contributing substantially to its flow and regional agriculture.
-
B.
Bihad River
The Bihad River is a regional river flowing through the Baghelkhand area of central India, contributing to the region’s drainage and local agriculture.
-
C.
Tala River
The Tala River is a watercourse in the Zaqatala region of northwestern Azerbaijan, contributing to the area's local hydrology and landscape.
-
D.
Awali River
The Awali River is a significant watercourse in Lebanon that flows through the region of Sidon before emptying into the Mediterranean Sea.
-
E.
Baga River
Baga River is a small coastal river in North Goa, India, known for flowing through the popular beach and tourist area of Baga before emptying into the Arabian Sea.
- 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_69d8838648088190acf97ef11fc3f61b |
completed | April 10, 2026, 4:58 a.m. |
| NER | Named-entity recognition | batch_69e35773c00c819091731bebc02a69bb |
completed | April 18, 2026, 10:05 a.m. |
Created at: April 10, 2026, 5:16 a.m.