Triple
T4825899
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Naryn River |
E107823
|
entity |
| Predicate | confluenceWith |
P2416
|
FINISHED |
| Object | Kara Darya |
E330638
|
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: Kara Darya | Statement: [Naryn River, confluenceWith, Kara Darya]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Kara Darya Context triple: [Naryn River, confluenceWith, Kara Darya]
-
A.
Kara Darya
chosen
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.
-
B.
Amu Darya
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.
-
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.
Varzob River
The Varzob River is a mountain river in western Tajikistan that flows through the Varzob Gorge and past the capital city, Dushanbe.
-
E.
Murghab River
The Murghab River is a Central Asian river flowing through Afghanistan and Turkmenistan, historically vital for irrigation and the development of oasis settlements such as the city of Mary.
- 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_69bd43fac8188190803f0327190621e4 |
completed | March 20, 2026, 12:56 p.m. |
| NER | Named-entity recognition | batch_69bd6caf22308190a2048ec6acfa5af2 |
completed | March 20, 2026, 3:50 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69be6fa6479c8190b04c2ff50b98ad1d |
completed | March 21, 2026, 10:15 a.m. |
Created at: March 20, 2026, 1:24 p.m.