Triple
T19023177
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | AGH University of Science and Technology |
E465538
|
entity |
| Predicate | hasFaculty |
P141
|
FINISHED |
| Object | Faculty of Energy and Fuels |
—
|
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: Faculty of Energy and Fuels | Statement: [AGH University of Science and Technology, hasFaculty, Faculty of Energy and Fuels]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Faculty of Energy and Fuels Context triple: [AGH University of Science and Technology, hasFaculty, Faculty of Energy and Fuels]
-
A.
Faculty of Energy
The Faculty of Energy is an academic division of Volgograd State Technical University specializing in education and research in power engineering and related energy technologies.
-
B.
Faculty of Energy
The Faculty of Energy is an academic division of Yaroslavl State Technical University specializing in education and research in power engineering and related energy technologies.
-
C.
Faculty of Power Engineering
The Faculty of Power Engineering is an academic division specializing in energy systems, electrical power technologies, and related engineering disciplines at Novosibirsk State Technical University.
-
D.
Faculty of Power Engineering
The Faculty of Power Engineering is an academic division of the Mongolian University of Science and Technology specializing in education and research on electrical power systems and energy technologies.
-
E.
School of Energy Science and Engineering
The School of Energy Science and Engineering is a specialized academic unit of Harbin Institute of Technology focused on education and research in energy technologies 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: Faculty of Energy and Fuels Target entity description: The Faculty of Energy and Fuels is an academic unit specializing in education and research on energy technologies, fuel science, and related engineering disciplines.
-
A.
Faculty of Energy
The Faculty of Energy is an academic division of Volgograd State Technical University specializing in education and research in power engineering and related energy technologies.
-
B.
Faculty of Energy
The Faculty of Energy is an academic division of Yaroslavl State Technical University specializing in education and research in power engineering and related energy technologies.
-
C.
Faculty of Power Engineering
The Faculty of Power Engineering is an academic division specializing in energy systems, electrical power technologies, and related engineering disciplines at Novosibirsk State Technical University.
-
D.
Faculty of Power Engineering
The Faculty of Power Engineering is an academic division of the Mongolian University of Science and Technology specializing in education and research on electrical power systems and energy technologies.
-
E.
School of Energy Science and Engineering
The School of Energy Science and Engineering is a specialized academic unit of Harbin Institute of Technology focused on education and research in energy technologies 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_69d8dd025c188190a1d81f5b4ec7e2c6 |
completed | April 10, 2026, 11:20 a.m. |
| NER | Named-entity recognition | batch_69e5d6e0583c8190bdfbfe6d94681899 |
completed | April 20, 2026, 7:33 a.m. |
Created at: April 10, 2026, 12:02 p.m.