Triple
T23130339
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | University of Mines and Technology |
E577148
|
entity |
| Predicate | hasFaculty |
P141
|
FINISHED |
| Object | Faculty of Mineral Resources Technology |
—
|
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 Mineral Resources Technology | Statement: [University of Mines and Technology, hasFaculty, Faculty of Mineral Resources Technology]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Faculty of Mineral Resources Technology Context triple: [University of Mines and Technology, hasFaculty, Faculty of Mineral Resources Technology]
-
A.
Faculty of Mining
The Faculty of Mining is an academic division specializing in mining engineering and related earth sciences at Dnipro University of Technology.
-
B.
Faculty of Mining
The Faculty of Mining is an academic division specializing in mining engineering and related earth sciences within Donetsk National Technical University.
-
C.
School of Mineral Resources Engineering
The School of Mineral Resources Engineering is an academic unit of the Technical University of Crete specializing in the study and engineering of mineral resources, including their exploration, extraction, and sustainable management.
-
D.
Faculty of Georesources and Materials Engineering
The Faculty of Georesources and Materials Engineering is a specialized division of RWTH Aachen University focused on education and research in raw materials, earth sciences, and materials engineering.
-
E.
Faculty of Mining and Geology
The Faculty of Mining and Geology is an academic unit specializing in mining engineering, geology, and related earth sciences within the VSB – Technical University of Ostrava.
- 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 Mineral Resources Technology Target entity description: The Faculty of Mineral Resources Technology is an academic division specializing in the education and research of mineral resources, mining, and related earth sciences.
-
A.
Faculty of Mining
The Faculty of Mining is an academic division specializing in mining engineering and related earth sciences at Dnipro University of Technology.
-
B.
Faculty of Mining
The Faculty of Mining is an academic division specializing in mining engineering and related earth sciences within Donetsk National Technical University.
-
C.
School of Mineral Resources Engineering
The School of Mineral Resources Engineering is an academic unit of the Technical University of Crete specializing in the study and engineering of mineral resources, including their exploration, extraction, and sustainable management.
-
D.
Faculty of Georesources and Materials Engineering
The Faculty of Georesources and Materials Engineering is a specialized division of RWTH Aachen University focused on education and research in raw materials, earth sciences, and materials engineering.
-
E.
Faculty of Mining and Geology
The Faculty of Mining and Geology is an academic unit specializing in mining engineering, geology, and related earth sciences within the VSB – Technical University of Ostrava.
- 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_69e245f7b0e481909c473ff4e6a54e2c |
completed | April 17, 2026, 2:38 p.m. |
| NER | Named-entity recognition | batch_69f18e8671f48190887e57d5723e49c1 |
completed | April 29, 2026, 4:52 a.m. |
Created at: April 17, 2026, 4 p.m.