Triple
T10524883
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | GW SEAS |
E248274
|
entity |
| Predicate | fullName |
P16
|
FINISHED |
| Object |
George Washington University School of Engineering and Applied Science
George Washington University School of Engineering and Applied Science is the engineering and applied sciences school of George Washington University in Washington, D.C., offering undergraduate and graduate programs in fields such as engineering, computer science, and related technologies.
|
E8759
|
NE FINISHED |
How this triple was built (4 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: George Washington University School of Engineering and Applied Science | Statement: [GW SEAS, fullName, George Washington University School of Engineering and Applied Science]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: George Washington University School of Engineering and Applied Science Context triple: [GW SEAS, fullName, George Washington University School of Engineering and Applied Science]
-
A.
George Washington University
George Washington University is a major private research university in Washington, D.C., known for its strong programs in international affairs, public policy, and law, and its close ties to U.S. government institutions.
-
B.
George Mason University
George Mason University is a large public research university known for its strong programs in economics, public policy, and law, with its main campus located in Fairfax, Virginia.
-
C.
Volgenau School of Engineering
The Volgenau School of Engineering is the engineering and computing school of George Mason University, offering programs in areas such as civil, mechanical, electrical, computer, and systems engineering, as well as computer science and information technology.
-
D.
Georgetown University
Georgetown University is a prestigious private research university and the oldest Catholic and Jesuit institution of higher education in the United States.
-
E.
American University
American University is a private research university in Washington, D.C., known for its programs in international relations, public affairs, and political science.
- F. None of above. chosen
- G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg
Description generation
gpt-5.1
Instruction
Generate a one-sentence description of the target entity. You are given a context triple in the form (subject, predicate, object), where the object is the target entity. # Instructions Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. Avoid repeating the information from the triple, unless really essential. # Response Format Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: George Washington University School of Engineering and Applied Science Triple: [GW SEAS, fullName, George Washington University School of Engineering and Applied Science]
Generated description
George Washington University School of Engineering and Applied Science is the engineering and applied sciences school of George Washington University in Washington, D.C., offering undergraduate and graduate programs in fields such as engineering, computer science, and related technologies.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: George Washington University School of Engineering and Applied Science Target entity description: George Washington University School of Engineering and Applied Science is the engineering and applied sciences school of George Washington University in Washington, D.C., offering undergraduate and graduate programs in fields such as engineering, computer science, and related technologies.
-
A.
George Washington University
chosen
George Washington University is a major private research university in Washington, D.C., known for its strong programs in international affairs, public policy, and law, and its close ties to U.S. government institutions.
-
B.
George Mason University
George Mason University is a large public research university known for its strong programs in economics, public policy, and law, with its main campus located in Fairfax, Virginia.
-
C.
Volgenau School of Engineering
The Volgenau School of Engineering is the engineering and computing school of George Mason University, offering programs in areas such as civil, mechanical, electrical, computer, and systems engineering, as well as computer science and information technology.
-
D.
Georgetown University
Georgetown University is a prestigious private research university and the oldest Catholic and Jesuit institution of higher education in the United States.
-
E.
American University
American University is a private research university in Washington, D.C., known for its programs in international relations, public affairs, and political science.
- F. None of above.
Provenance (5 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_69d381c5c7448190bec34bee7ec72bac |
completed | April 6, 2026, 9:49 a.m. |
| NER | Named-entity recognition | batch_69d509f4020c8190b78c49da086df757 |
completed | April 7, 2026, 1:43 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d97a05ffdc8190a69b39c807a06042 |
completed | April 10, 2026, 10:30 p.m. |
| NEDg | Description generation | batch_69d97cc07100819088683a0d79b2baa0 |
completed | April 10, 2026, 10:42 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69d97e015b088190a97822675eecaa5a |
completed | April 10, 2026, 10:47 p.m. |
Created at: April 6, 2026, 12:29 p.m.