Triple
T22200075
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Moscow Power Engineering Institute |
E548655
|
entity |
| Predicate | hasFaculty |
P141
|
FINISHED |
| Object | Institute of Electric Power Engineering |
—
|
NE NERFINISHED |
How this triple was built (3 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: Institute of Electric Power Engineering | Statement: [Moscow Power Engineering Institute, hasFaculty, Institute of Electric Power Engineering]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Institute of Electric Power Engineering Context triple: [Moscow Power Engineering Institute, hasFaculty, Institute of Electric Power Engineering]
-
A.
Institute of Physics and Power Engineering
The Institute of Physics and Power Engineering is a major Russian research center specializing in nuclear power engineering, reactor physics, and related advanced energy technologies.
-
B.
School of Electrical and Power Engineering
The School of Electrical and Power Engineering is an academic unit specializing in electrical engineering and power systems education and research within Taiyuan University of Technology.
-
C.
School of Electrical Engineering
The School of Electrical Engineering is a major academic unit of Xi'an Jiaotong University specializing in education and research in electrical and power engineering and related technologies.
-
D.
School of Electrical Engineering
The School of Electrical Engineering is a specialized academic unit of Chongqing University focused on education and research in electrical engineering and related technologies.
-
E.
School of Electrical Engineering
The School of Electrical Engineering is a major academic unit of Hanoi University of Science and Technology specializing in education and research in electrical and related engineering fields.
- F. None of above. chosen
- G. Unsure - the case is ambiguous/there is not enough information to decide.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Institute of Electric Power Engineering Target entity description: The Institute of Electric Power Engineering is a specialized faculty within the Moscow Power Engineering Institute focused on education and research in electric power systems and related technologies.
-
A.
Institute of Physics and Power Engineering
The Institute of Physics and Power Engineering is a major Russian research center specializing in nuclear power engineering, reactor physics, and related advanced energy technologies.
-
B.
School of Electrical and Power Engineering
The School of Electrical and Power Engineering is an academic unit specializing in electrical engineering and power systems education and research within Taiyuan University of Technology.
-
C.
School of Electrical Engineering
The School of Electrical Engineering is a major academic unit of Xi'an Jiaotong University specializing in education and research in electrical and power engineering and related technologies.
-
D.
School of Electrical Engineering
The School of Electrical Engineering is a specialized academic unit of Chongqing University focused on education and research in electrical engineering and related technologies.
-
E.
School of Electrical Engineering
The School of Electrical Engineering is a major academic unit of Hanoi University of Science and Technology specializing in education and research in electrical and related engineering fields.
- F. None of above. chosen
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_69e11e3ecc7c8190b5f94cd8f42e9d37 |
completed | April 16, 2026, 5:37 p.m. |
| NER | Named-entity recognition | batch_69f12aea51d48190a570cd36c106ab78 |
completed | April 28, 2026, 9:47 p.m. |
Created at: April 16, 2026, 8:36 p.m.