Triple
T15287967
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Mahi river basin (regional) |
E365452
|
entity |
| Predicate | partOf |
P40
|
FINISHED |
| Object | Mahi River system |
E445386
|
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: Mahi River system | Statement: [Mahi river basin (regional), partOf, Mahi River system]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Mahi River system Context triple: [Mahi river basin (regional), partOf, Mahi River system]
-
A.
Mahi River
chosen
The Mahi River is a major west-flowing river in western India that traverses Madhya Pradesh, Rajasthan, and Gujarat before emptying into the Arabian Sea.
-
B.
Murti River
Murti River is a scenic river in the Dooars region of West Bengal, India, known for flowing through forested landscapes and near wildlife-rich areas such as Gorumara National Park.
-
C.
Mahananda River
The Mahananda River is a trans-boundary river flowing through India and Bangladesh, known for passing by the city of Siliguri and ultimately joining the Ganges.
-
D.
Mahur River
Mahur River is a river flowing through the hilly Dima Hasao district in the Indian state of Assam.
-
E.
Nyamiha River
The Nyamiha River is a small, historically significant waterway in Minsk, Belarus, now largely confined to underground culverts beneath the city.
- 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_69d85a103d9081908c1ea6c4c73ac8e3 |
completed | April 10, 2026, 2:01 a.m. |
| NER | Named-entity recognition | batch_69e00e5635b4819092a69b5806d15bff |
completed | April 15, 2026, 10:16 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69feef7b73a08190b06856c05ea8c80d |
completed | May 9, 2026, 8:25 a.m. |
Created at: April 10, 2026, 3:15 a.m.