Triple
T7065498
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Nagaoka University of Technology |
E164337
|
entity |
| Predicate | hasDepartment |
P35
|
FINISHED |
| Object | Department of Information and Management Systems Engineering |
E450104
|
NE FINISHED |
How this triple was built (2 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: Department of Information and Management Systems Engineering | Statement: [Nagaoka University of Technology, hasDepartment, Department of Information and Management Systems Engineering]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Department of Information and Management Systems Engineering Context triple: [Nagaoka University of Technology, hasDepartment, Department of Information and Management Systems Engineering]
-
A.
Department of Management Systems Engineering
chosen
The Department of Management Systems Engineering is an academic unit focused on integrating engineering, management, and information systems to optimize organizational processes and decision-making.
-
B.
Department of Management Information Systems
The Department of Management Information Systems is an academic unit specializing in the study and teaching of information systems, technology management, and data-driven decision-making within the Eller College of Management.
-
C.
Department of Information Systems, Statistics, and Management Science
The Department of Information Systems, Statistics, and Management Science is an academic unit within the Culverhouse College of Business that focuses on data-driven decision-making, analytics, and information technologies in business contexts.
-
D.
Department of Industrial and Management Systems Engineering
The Department of Industrial and Management Systems Engineering is an academic unit focused on optimizing complex systems and processes by integrating engineering, management, and data-driven decision-making.
-
E.
Information Systems and Decision Sciences Department
The Information Systems and Decision Sciences Department is an academic unit specializing in information technology, analytics, and data-driven decision-making within the Muma College of Business.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (3 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_69c688796c148190adb2f1596f595f22 |
completed | March 27, 2026, 1:39 p.m. |
| NER | Named-entity recognition | batch_69c6e4a4e7188190aef123ff1a2aa473 |
completed | March 27, 2026, 8:12 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c788ba7af88190aeaf3205255af8ad |
completed | March 28, 2026, 7:52 a.m. |
Created at: March 27, 2026, 2:39 p.m.