Triple
T20840141
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Kofarnihon River |
E513072
|
entity |
| Predicate | mouthLocation |
P417
|
FINISHED |
| Object | Amu Darya |
—
|
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: Amu Darya | Statement: [Kofarnihon River, mouthLocation, Amu Darya]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Amu Darya Context triple: [Kofarnihon River, mouthLocation, Amu Darya]
-
A.
Amu Darya
chosen
The Amu Darya is one of Central Asia’s largest and most historically significant rivers, flowing from the Pamir and Hindu Kush mountains toward the Aral Sea.
-
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.
Syr Darya
Syr Darya is a major river in Central Asia that flows through countries such as Kyrgyzstan, Uzbekistan, and Kazakhstan before emptying into the remnants of the Aral Sea.
-
D.
Kashkadarya River
The Kashkadarya River is a river in southern Uzbekistan that flows through the city of Karshi and irrigates the surrounding arid agricultural region.
-
E.
Syr Darya basin
The Syr Darya basin is a major Central Asian river drainage system spanning several countries, supporting extensive irrigation, hydropower, and agriculture in an otherwise arid region.
- 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_69e0b4cf62a88190bbf92351e9e57259 |
completed | April 16, 2026, 10:07 a.m. |
| NER | Named-entity recognition | batch_69e6c34a60848190b33078172675f8d7 |
completed | April 21, 2026, 12:22 a.m. |
Created at: April 16, 2026, 12:43 p.m.