Triple
T13163460
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Aralkum Desert |
E312783
|
entity |
| Predicate | near |
P350
|
FINISHED |
| Object | Aralsk |
E266641
|
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: Aralsk | Statement: [Aralkum Desert, near, Aralsk]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Aralsk Context triple: [Aralkum Desert, near, Aralsk]
-
A.
Aralsk
chosen
Aralsk is a town in southwestern Kazakhstan historically known as a fishing port on the Aral Sea before the sea’s dramatic shrinkage.
-
B.
Kochkor-Ata
Kochkor-Ata is a town in western Kyrgyzstan known for its role in regional industry and its location near key transport and energy infrastructure.
-
C.
Saryagash
Saryagash is a town in southern Kazakhstan known for its mineral springs and proximity to the Uzbek border.
-
D.
Kapchagay
Kapchagay is a town in southeastern Kazakhstan known for its large reservoir on the Ili River and its role as a regional recreation and tourism center.
-
E.
Kapustin Yar
Kapustin Yar is a Russian military rocket launch and development site historically used for early Soviet missile and space tests.
- 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.