Triple
T19573854
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Qarshi |
E489795
|
entity |
| Predicate | locatedOnRiver |
P165
|
FINISHED |
| Object | Kashkadarya 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: Kashkadarya River | Statement: [Qarshi, locatedOnRiver, Kashkadarya River]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Kashkadarya River Context triple: [Qarshi, locatedOnRiver, Kashkadarya River]
-
A.
Kashkadarya River
chosen
The Kashkadarya River is a river in southern Uzbekistan that flows through the city of Karshi and irrigates the surrounding arid agricultural region.
-
B.
Kara Darya
Kara Darya is a major river in Central Asia that flows through Kyrgyzstan and Uzbekistan, helping to form the Syr Darya and irrigate the fertile Ferghana Valley.
-
C.
Andijan-Say River
The Andijan-Say River is a watercourse in eastern Uzbekistan that flows through the city of Andijan in the fertile Fergana Valley.
-
D.
Kyzyl-Suu River
The Kyzyl-Suu River is a Central Asian mountain river that serves as one of the principal headwaters of the Vakhsh River.
-
E.
Khash River
The Khash River is a tributary watercourse in southwestern Afghanistan that feeds into the larger Helmand 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_69d8e8dd9374819098e36349b3211663 |
completed | April 10, 2026, 12:11 p.m. |
| NER | Named-entity recognition | batch_69e6402333dc8190bdffb1da68e2c76b |
completed | April 20, 2026, 3:02 p.m. |
Created at: April 10, 2026, 1:42 p.m.