Triple
T627975
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Turkmenistan |
E15860
|
entity |
| Predicate | majorRiver |
P165
|
FINISHED |
| Object | Amu Darya |
E43947
|
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: Amu Darya | Statement: [Turkmenistan, majorRiver, Amu Darya]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Amu Darya Context triple: [Turkmenistan, majorRiver, 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.
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.
-
C.
Kaspi
Kaspi is a town in central Georgia known as an industrial center and regional hub within the Shida Kartli area.
-
D.
Issyk-Kul
Issyk-Kul is a large, deep, and saline mountain lake in eastern Kyrgyzstan, renowned as one of the world’s largest high-altitude lakes and a major natural landmark of Central Asia.
-
E.
Aral Sea
The Aral Sea is a largely dried-up endorheic lake in Central Asia, once one of the world’s largest inland bodies of water and now a symbol of severe environmental degradation caused by river diversion.
- 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_69a4935c131c8190a5378c6bf101e8cc |
completed | March 1, 2026, 7:28 p.m. |
| NER | Named-entity recognition | batch_69a49e59e2688190b3c18b17c5db1e2b |
completed | March 1, 2026, 8:15 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69a57403c0208190b3ff497aade61b29 |
completed | March 2, 2026, 11:26 a.m. |
Created at: March 1, 2026, 7:35 p.m.