Triple
T22200076
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Moscow Power Engineering Institute |
E548655
|
entity |
| Predicate | hasFaculty |
P141
|
FINISHED |
| Object | Institute of Electrical 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 Electrical Engineering | Statement: [Moscow Power Engineering Institute, hasFaculty, Institute of Electrical Engineering]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Institute of Electrical Engineering Context triple: [Moscow Power Engineering Institute, hasFaculty, Institute of Electrical Engineering]
-
A.
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.
-
B.
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.
-
C.
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.
-
D.
School of Electrical Engineering
The School of Electrical Engineering is a constituent school of Aalto University in Finland, focusing on education and research in electrical engineering, electronics, communications, and related technologies.
-
E.
Institute of Electric Power Engineering
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.
- 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 Electrical Engineering Target entity description: The Institute of Electrical Engineering is a specialized faculty within the Moscow Power Engineering Institute focused on education and research in electrical power systems and related technologies.
-
A.
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.
-
B.
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.
-
C.
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.
-
D.
School of Electrical Engineering
The School of Electrical Engineering is a constituent school of Aalto University in Finland, focusing on education and research in electrical engineering, electronics, communications, and related technologies.
-
E.
Institute of Electric Power Engineering
chosen
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.
- F. None of above.
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.