Triple
T9285140
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | School of Computer Science at Carnegie Mellon University |
E223374
|
entity |
| Predicate | hasSubOrganization |
P747
|
FINISHED |
| Object | Machine Learning Department |
E10396
|
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: Machine Learning Department | Statement: [School of Computer Science at Carnegie Mellon University, hasSubOrganization, Machine Learning Department]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Machine Learning Department Context triple: [School of Computer Science at Carnegie Mellon University, hasSubOrganization, Machine Learning Department]
-
A.
Machine Learning Department, Carnegie Mellon University
chosen
The Machine Learning Department at Carnegie Mellon University is a pioneering academic unit dedicated to research and education in machine learning, artificial intelligence, and related computational disciplines.
-
B.
Empirical Inference Department
The Empirical Inference Department is a research group at the Max Planck Institute for Intelligent Systems that focuses on machine learning, statistical inference, and data-driven modeling of complex systems.
-
C.
Office of Data Science
The Office of Data Science is a specialized unit that applies advanced data analytics and quantitative methods to support the U.S. Securities and Exchange Commission’s economic, risk, and policy analysis.
-
D.
AI Division
The AI Division is a specialized research and development unit within the Software Engineering Institute focused on advancing artificial intelligence technologies and their practical application in software-intensive systems.
-
E.
Intelligent Systems Division
The Intelligent Systems Division is a research and development unit within Southwest Research Institute that focuses on advanced automation, artificial intelligence, and related intelligent technologies for industrial and governmental applications.
- 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_69ca8422ddf881908a3f8f876c9f53aa |
completed | March 30, 2026, 2:09 p.m. |
| NER | Named-entity recognition | batch_69cd081fe8cc8190b6c1b481c7129689 |
completed | April 1, 2026, 11:57 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d0b21d8f1081909b2493151fde4a5f |
completed | April 4, 2026, 6:39 a.m. |
Created at: March 30, 2026, 7:35 p.m.