Triple
T18987012
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Zhetysu |
E464581
|
entity |
| Predicate | presentIn |
P795
|
FINISHED |
| Object | Jambyl Region |
—
|
NE NERFINISHED |
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: Jambyl Region | Statement: [Zhetysu, presentIn, Jambyl Region]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Jambyl Region Context triple: [Zhetysu, presentIn, Jambyl Region]
-
A.
Jambyl Region
chosen
Jambyl Region is an administrative region in southern Kazakhstan known for its agricultural economy, historical sites, and proximity to the Kyrgyz border.
-
B.
Mangystau Region
Mangystau Region is a sparsely populated, resource-rich oblast in southwestern Kazakhstan known for its arid deserts, Caspian Sea coastline, and distinctive plateaus and rock formations.
-
C.
Namangan Region
Namangan Region is an administrative region in eastern Uzbekistan, located in the fertile Fergana Valley and known for its agriculture and traditional crafts.
-
D.
Karaganda Region
Karaganda Region is a large industrial and mining region in central Kazakhstan, known especially for its coal production and steppe landscapes.
-
E.
Zhetysu Region
Zhetysu Region is an administrative region in southeastern Kazakhstan known for its diverse landscapes, including mountains, lakes, and steppe.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (2 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_69d8dd008af48190a97ff1c6488edf1b |
completed | April 10, 2026, 11:20 a.m. |
| NER | Named-entity recognition | batch_69e5d660835c8190bedd78590b3e0a7e |
completed | April 20, 2026, 7:31 a.m. |
Created at: April 10, 2026, 12:01 p.m.