Triple
T8623920
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Kyzylorda Region |
E204236
|
entity |
| Predicate | hasCity |
P316
|
FINISHED |
| Object | Kyzylorda |
E747432
|
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: Kyzylorda | Statement: [Kyzylorda Region, hasCity, Kyzylorda]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Kyzylorda Context triple: [Kyzylorda Region, hasCity, Kyzylorda]
-
A.
Kyzylorda
chosen
Kyzylorda is a city in south-central Kazakhstan known as an important regional center on the Syr Darya River with historical ties to the early development of the Kazakh Soviet Republic.
-
B.
Kyzylorda Region
Kyzylorda Region is an administrative region in southern Kazakhstan known for hosting the Baikonur Cosmodrome, the world’s first and largest operational space launch facility.
-
C.
Akmola
Akmola is the former name of Kazakhstan’s capital city, now known as Astana.
-
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.
Pavlodar
Pavlodar is a major industrial and cultural city in northeastern Kazakhstan, located on the Irtysh River.
- 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_69ca834a4ea0819094970dceb9e389f3 |
completed | March 30, 2026, 2:06 p.m. |
| NER | Named-entity recognition | batch_69cc4728360c8190b5e600596cbced0c |
completed | March 31, 2026, 10:14 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69cf425b8a2c81909b1f8ce5da6d36fd |
completed | April 3, 2026, 4:30 a.m. |
Created at: March 30, 2026, 6:26 p.m.