Triple
T682736
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Tien Shan |
E13216
|
entity |
| Predicate | locatedIn |
P40
|
FINISHED |
| Object | Almaty Region |
E50745
|
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: Almaty Region | Statement: [Tien Shan, locatedIn, Almaty Region]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Almaty Region Context triple: [Tien Shan, locatedIn, Almaty Region]
-
A.
Pavlodar
Pavlodar is a major industrial and cultural city in northeastern Kazakhstan, located on the Irtysh River.
-
B.
Almaty
chosen
Almaty is the largest city and main commercial and cultural center of Kazakhstan, located in the country’s mountainous southeast.
-
C.
Karaganda
Karaganda is a large industrial city in central Kazakhstan known for its coal mining industry and Soviet-era history.
-
D.
Shymkent
Shymkent is one of the largest and most populous cities in southern Kazakhstan, serving as a key industrial, commercial, and cultural center of the region.
-
E.
Kars Oblast
Kars Oblast was a former administrative region of the Russian Empire in the South Caucasus, centered on the city of Kars in what is now northeastern Turkey.
- 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_69a4933e0f98819097d22766c49b61b8 |
completed | March 1, 2026, 7:27 p.m. |
| NER | Named-entity recognition | batch_69a4a070d4c08190a510a8f9c1ae8076 |
completed | March 1, 2026, 8:24 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69a5dca153e081908facd835a79da25d |
completed | March 2, 2026, 6:53 p.m. |
Created at: March 1, 2026, 7:36 p.m.