Triple
T12525425
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | West Kazakhstan Medical University |
E299425
|
entity |
| Predicate | locatedIn |
P40
|
FINISHED |
| Object | Aktobe, Kazakhstan |
E53016
|
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: Aktobe, Kazakhstan | Statement: [West Kazakhstan Medical University, locatedIn, Aktobe, Kazakhstan]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Aktobe, Kazakhstan Context triple: [West Kazakhstan Medical University, locatedIn, Aktobe, Kazakhstan]
-
A.
Tekeli, Kazakhstan
Tekeli is a small town in southeastern Kazakhstan known as one of the locations hosting a campus of the University of Central Asia.
-
B.
Aral, Kazakhstan
Aral, Kazakhstan is a small town in southwestern Kazakhstan historically known as a fishing port on the Aral Sea and as a symbol of the environmental disaster caused by the sea’s dramatic shrinkage.
-
C.
Aktobe
chosen
Aktobe is a large industrial and cultural center in western Kazakhstan, known for its role in the country’s oil, gas, and mining sectors.
-
D.
Zhezkazgan
Zhezkazgan is a major industrial and mining city in central Kazakhstan, known especially for its large copper deposits and metallurgical complex.
-
E.
Temirtau
Temirtau is a major industrial city in Kazakhstan, best known for its large steel production complex and heavy metallurgical industry.
- 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_69d6ada5cdd48190860d9ce30aff69be |
completed | April 8, 2026, 7:33 p.m. |
| NER | Named-entity recognition | batch_69d9545d7e6c819080c3a85c18caa1ae |
completed | April 10, 2026, 7:49 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f739668f3481909cc7564c3ede2896 |
completed | May 3, 2026, 12:02 p.m. |
Created at: April 8, 2026, 9:57 p.m.