Triple
T9461442
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | سيحون |
E228154
|
entity |
| Predicate | اسم_تاريخي |
P1558
|
FINISHED |
| Object | Jaxartes |
E44777
|
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: Jaxartes | Statement: [سيحون, اسم_تاريخي, Jaxartes]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Jaxartes Context triple: [سيحون, اسم_تاريخي, Jaxartes]
-
A.
Syr Darya
chosen
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.
-
B.
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.
-
C.
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.
-
D.
Kyzyl-Suu
Kyzyl-Suu is a town in eastern Kyrgyzstan that serves as a local center near the southern shore of Lake Issyk-Kul.
-
E.
Aksu River
The Aksu River is a major river in northwestern China and Kyrgyzstan that forms the principal headwater of the Tarim River in the arid Tarim Basin.
- 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_69ca843b123881909b0e60028475d12d |
completed | March 30, 2026, 2:10 p.m. |
| NER | Named-entity recognition | batch_69cd7fcc8b1881908aa6ee13ab195330 |
completed | April 1, 2026, 8:27 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d1e3e92c4c819094cbd2661c425b7c |
completed | April 5, 2026, 4:24 a.m. |
Created at: March 30, 2026, 7:52 p.m.