Triple
T18987016
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Zhetysu |
E464581
|
entity |
| Predicate | hasMajorCity |
P316
|
FINISHED |
| Object | Zharkent |
—
|
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: Zharkent | Statement: [Zhetysu, hasMajorCity, Zharkent]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Zharkent Context triple: [Zhetysu, hasMajorCity, Zharkent]
-
A.
Zharkent
chosen
Zharkent is a small town in southeastern Kazakhstan near the Chinese border, known for its multicultural heritage and distinctive Central Asian architecture.
-
B.
Zhezkazgan
Zhezkazgan is a major industrial and mining city in central Kazakhstan, known especially for its large copper deposits and metallurgical complex.
-
C.
Ürümqi
Ürümqi is a major city in northwestern China that serves as the political, economic, and cultural center of the Xinjiang Uyghur Autonomous Region.
-
D.
Kokshetau
Kokshetau is a city in northern Kazakhstan that serves as the administrative and economic center of the surrounding Akmola Region.
-
E.
Turkistan
Turkistan is a historic city in southern Kazakhstan renowned as a major center of Islamic culture and pilgrimage in Central Asia.
- 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.