Triple
T12525411
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Aktobe Regional University |
E299424
|
entity |
| Predicate | governedBy |
P46
|
FINISHED |
| Object |
Ministry of Science and Higher Education of the Republic of Kazakhstan
The Ministry of Science and Higher Education of the Republic of Kazakhstan is the national government body responsible for formulating and implementing state policy in the fields of scientific research and tertiary education across Kazakhstan.
|
E988237
|
NE FINISHED |
How this triple was built (4 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: Ministry of Science and Higher Education of the Republic of Kazakhstan | Statement: [Aktobe Regional University, governedBy, Ministry of Science and Higher Education of the Republic of Kazakhstan]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Ministry of Science and Higher Education of the Republic of Kazakhstan Context triple: [Aktobe Regional University, governedBy, Ministry of Science and Higher Education of the Republic of Kazakhstan]
-
A.
Al-Farabi Kazakh National University
Al-Farabi Kazakh National University is one of Kazakhstan’s leading and oldest higher education institutions, renowned for its comprehensive academic programs and research across a wide range of disciplines.
-
B.
Nazarbayev University
Nazarbayev University is a leading English-language research university in Kazakhstan, known for its modern campus and international academic partnerships.
-
C.
Academy of Sciences of Turkmenistan
The Academy of Sciences of Turkmenistan is the national scientific institution responsible for coordinating and advancing research and scholarly activities across various disciplines in Turkmenistan.
-
D.
Ministry of Science and Higher Education of the Russian Federation
The Ministry of Science and Higher Education of the Russian Federation is the federal government body responsible for developing and implementing state policy and regulation in the fields of scientific research and higher education across Russia.
-
E.
Kyrgyz State Technical University
Kyrgyz State Technical University is a major public engineering and technical higher education institution located in Bishkek, Kyrgyzstan.
- F. None of above. chosen
- G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg
Description generation
gpt-5.1
Instruction
Generate a one-sentence description of the target entity. You are given a context triple in the form (subject, predicate, object), where the object is the target entity. # Instructions Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. Avoid repeating the information from the triple, unless really essential. # Response Format Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: Ministry of Science and Higher Education of the Republic of Kazakhstan Triple: [Aktobe Regional University, governedBy, Ministry of Science and Higher Education of the Republic of Kazakhstan]
Generated description
The Ministry of Science and Higher Education of the Republic of Kazakhstan is the national government body responsible for formulating and implementing state policy in the fields of scientific research and tertiary education across Kazakhstan.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Ministry of Science and Higher Education of the Republic of Kazakhstan Target entity description: The Ministry of Science and Higher Education of the Republic of Kazakhstan is the national government body responsible for formulating and implementing state policy in the fields of scientific research and tertiary education across Kazakhstan.
-
A.
Al-Farabi Kazakh National University
Al-Farabi Kazakh National University is one of Kazakhstan’s leading and oldest higher education institutions, renowned for its comprehensive academic programs and research across a wide range of disciplines.
-
B.
Nazarbayev University
Nazarbayev University is a leading English-language research university in Kazakhstan, known for its modern campus and international academic partnerships.
-
C.
Academy of Sciences of Turkmenistan
The Academy of Sciences of Turkmenistan is the national scientific institution responsible for coordinating and advancing research and scholarly activities across various disciplines in Turkmenistan.
-
D.
Ministry of Science and Higher Education of the Russian Federation
The Ministry of Science and Higher Education of the Russian Federation is the federal government body responsible for developing and implementing state policy and regulation in the fields of scientific research and higher education across Russia.
-
E.
Kyrgyz State Technical University
Kyrgyz State Technical University is a major public engineering and technical higher education institution located in Bishkek, Kyrgyzstan.
- F. None of above. chosen
Provenance (5 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_69d6ada5cdd48190860d9ce30aff69be |
completed | April 8, 2026, 7:33 p.m. |
| NER | Named-entity recognition | batch_69d9545d7e6c819080c3a85c18caa1ae |
completed | April 10, 2026, 7:49 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f64bc393808190add527030a928517 |
completed | May 2, 2026, 7:08 p.m. |
| NEDg | Description generation | batch_69f64c535c9881908e5bf07d13fa73c5 |
completed | May 2, 2026, 7:11 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69f6508afef08190ac7a19b1ee90141e |
completed | May 2, 2026, 7:29 p.m. |
Created at: April 8, 2026, 9:57 p.m.