Triple
T10666247
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | FC Kairat |
E251363
|
entity |
| Predicate | chairman |
P377
|
FINISHED |
| Object | Kairat Boranbayev |
E885167
|
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: Kairat Boranbayev | Statement: [FC Kairat, chairman, Kairat Boranbayev]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Kairat Boranbayev Context triple: [FC Kairat, chairman, Kairat Boranbayev]
-
A.
Kairat Boranbayev
chosen
Kairat Boranbayev is a Kazakh businessman and sports executive known for his prominent role in Kazakhstan’s football industry.
-
B.
Yerlan Turgumbayev
Yerlan Turgumbayev is a Kazakh politician who has held senior government roles, including serving as a deputy prime minister of Kazakhstan.
-
C.
Nurzhan Zhumadilov
Nurzhan Zhumadilov is a Kazakh architect best known for designing the iconic Bayterek Tower in Astana, a symbol of modern Kazakhstan.
-
D.
Berdibek Saparbayev
Berdibek Saparbayev is a Kazakh politician who has held several high-ranking government positions, including serving as a Deputy Prime Minister of Kazakhstan.
-
E.
Kanat Bozumbayev
Kanat Bozumbayev is a Kazakh politician and government official who has held senior leadership roles in Kazakhstan’s energy sector and national administration.
- 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_69d6aa5b0d2881909584b20efc5877f0 |
completed | April 8, 2026, 7:19 p.m. |
| NER | Named-entity recognition | batch_69d6f31f87748190bb44db8afa901763 |
completed | April 9, 2026, 12:30 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69de8461e0448190b801a0ed128d9dcb |
completed | April 14, 2026, 6:16 p.m. |
Created at: April 8, 2026, 9:08 p.m.