Triple
T13163459
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Aralkum Desert |
E312783
|
entity |
| Predicate | near |
P350
|
FINISHED |
| Object | Moynaq |
E266642
|
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: Moynaq | Statement: [Aralkum Desert, near, Moynaq]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Moynaq Context triple: [Aralkum Desert, near, Moynaq]
-
A.
Moynaq
chosen
Moynaq is a former fishing town in western Uzbekistan that became infamous as a symbol of environmental disaster after the Aral Sea largely dried up, leaving the settlement stranded far from the receding shoreline.
-
B.
Qakh
Qakh is a town in northwestern Azerbaijan that serves as an administrative and cultural center near the border with Georgia and Russia.
-
C.
Almaliq
Almaliq was a prominent medieval Central Asian city that served as a key political and commercial center along the Silk Road.
-
D.
Tashkurgan Sarikoli
Tashkurgan Sarikoli is an Eastern Iranian language spoken primarily by the Sarikoli people in the Tashkurgan region of Xinjiang, China.
-
E.
Khinalug
Khinalug is one of the oldest continuously inhabited mountain villages in the Caucasus, known for its unique language and remote location in the highlands of northern Azerbaijan.
- 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_69d806ac3ee081909b2fd27d060aa974 |
completed | April 9, 2026, 8:06 p.m. |
| NER | Named-entity recognition | batch_69d98c0a9d348190909fcf45f9d650e4 |
completed | April 10, 2026, 11:47 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f6eaf4cd788190b74cca51b5219bfb |
completed | May 3, 2026, 6:28 a.m. |
Created at: April 9, 2026, 9:13 p.m.