Triple
T10697803
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | West Virginia University System |
E252190
|
entity |
| Predicate | hasComponent |
P35
|
FINISHED |
| Object |
West Virginia University Statler College of Engineering and Mineral Resources
The West Virginia University Statler College of Engineering and Mineral Resources is WVU’s engineering and applied sciences college, offering programs in fields such as engineering, computer science, and energy and mineral resources.
|
E49315
|
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: West Virginia University Statler College of Engineering and Mineral Resources | Statement: [West Virginia University System, hasComponent, West Virginia University Statler College of Engineering and Mineral Resources]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: West Virginia University Statler College of Engineering and Mineral Resources Context triple: [West Virginia University System, hasComponent, West Virginia University Statler College of Engineering and Mineral Resources]
-
A.
West Virginia University
West Virginia University is a public land-grant research university in Morgantown, West Virginia, known for its comprehensive academic programs and prominent role in the state's higher education system.
-
B.
West Virginia University System
The West Virginia University System is a public higher education network in West Virginia centered around West Virginia University and its regional campuses and divisions.
-
C.
J.B. Speed School of Engineering
J.B. Speed School of Engineering is the University of Louisville’s engineering college, known for its rigorous, industry-focused engineering and computer science programs.
-
D.
Charleston (West Virginia) University
Charleston (West Virginia) University is a private university in Charleston, West Virginia, known for its diverse academic programs and participation in NCAA Division II athletics.
-
E.
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.
- 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: West Virginia University Statler College of Engineering and Mineral Resources Triple: [West Virginia University System, hasComponent, West Virginia University Statler College of Engineering and Mineral Resources]
Generated description
The West Virginia University Statler College of Engineering and Mineral Resources is WVU’s engineering and applied sciences college, offering programs in fields such as engineering, computer science, and energy and mineral resources.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: West Virginia University Statler College of Engineering and Mineral Resources Target entity description: The West Virginia University Statler College of Engineering and Mineral Resources is WVU’s engineering and applied sciences college, offering programs in fields such as engineering, computer science, and energy and mineral resources.
-
A.
West Virginia University
chosen
West Virginia University is a public land-grant research university in Morgantown, West Virginia, known for its comprehensive academic programs and prominent role in the state's higher education system.
-
B.
West Virginia University System
The West Virginia University System is a public higher education network in West Virginia centered around West Virginia University and its regional campuses and divisions.
-
C.
J.B. Speed School of Engineering
J.B. Speed School of Engineering is the University of Louisville’s engineering college, known for its rigorous, industry-focused engineering and computer science programs.
-
D.
Charleston (West Virginia) University
Charleston (West Virginia) University is a private university in Charleston, West Virginia, known for its diverse academic programs and participation in NCAA Division II athletics.
-
E.
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.
- 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_69d6aa5cbabc8190973e683950d89faf |
completed | April 8, 2026, 7:19 p.m. |
| NER | Named-entity recognition | batch_69d6fd8a03848190bf68dd470bee103a |
completed | April 9, 2026, 1:14 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d998e447e0819098e839e9e121a21f |
completed | April 11, 2026, 12:42 a.m. |
| NEDg | Description generation | batch_69d99e8534688190b312b737e0b9cd53 |
completed | April 11, 2026, 1:06 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69dadcb861a08190bb9f64a91117f35d |
completed | April 11, 2026, 11:43 p.m. |
Created at: April 8, 2026, 9:12 p.m.