Triple
T432351
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | George R. Brown School of Engineering |
E9740
|
entity |
| Predicate | hasDepartment |
P35
|
FINISHED |
| Object |
Department of Civil and Environmental Engineering
The Department of Civil and Environmental Engineering is an academic unit at Rice University's George R. Brown School of Engineering that focuses on education and research in infrastructure, environmental systems, and sustainable engineering.
|
E54218
|
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: Department of Civil and Environmental Engineering | Statement: [George R. Brown School of Engineering, hasDepartment, Department of Civil and Environmental Engineering]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Department of Civil and Environmental Engineering Context triple: [George R. Brown School of Engineering, hasDepartment, Department of Civil and Environmental Engineering]
-
A.
Department of Civil and Environmental Engineering (Carnegie Mellon University)
The Department of Civil and Environmental Engineering at Carnegie Mellon University is an academic unit focused on education and research in sustainable infrastructure, environmental systems, and resilient built environments.
-
B.
MIT Department of Civil and Environmental Engineering
The MIT Department of Civil and Environmental Engineering is an academic department at the Massachusetts Institute of Technology focused on advancing infrastructure, environmental sustainability, and resilient systems through research and education in civil and environmental engineering.
-
C.
Department of Civil and Environmental Engineering, UC Berkeley
The Department of Civil and Environmental Engineering at UC Berkeley is a leading academic department renowned for its research and education in infrastructure, environmental sustainability, and related engineering disciplines.
-
D.
School of Engineering
The School of Engineering at Vanderbilt University is an academic division offering undergraduate and graduate programs in various engineering disciplines, known for its research and interdisciplinary collaboration.
-
E.
School of Engineering
The School of Engineering at Stanford University is a leading engineering institution known for its cutting-edge research, innovation, and influential role in Silicon Valley’s technological development.
- 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: Department of Civil and Environmental Engineering Triple: [George R. Brown School of Engineering, hasDepartment, Department of Civil and Environmental Engineering]
Generated description
The Department of Civil and Environmental Engineering is an academic unit at Rice University's George R. Brown School of Engineering that focuses on education and research in infrastructure, environmental systems, and sustainable engineering.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Department of Civil and Environmental Engineering Target entity description: The Department of Civil and Environmental Engineering is an academic unit at Rice University's George R. Brown School of Engineering that focuses on education and research in infrastructure, environmental systems, and sustainable engineering.
-
A.
Department of Civil and Environmental Engineering (Carnegie Mellon University)
The Department of Civil and Environmental Engineering at Carnegie Mellon University is an academic unit focused on education and research in sustainable infrastructure, environmental systems, and resilient built environments.
-
B.
MIT Department of Civil and Environmental Engineering
The MIT Department of Civil and Environmental Engineering is an academic department at the Massachusetts Institute of Technology focused on advancing infrastructure, environmental sustainability, and resilient systems through research and education in civil and environmental engineering.
-
C.
Department of Civil and Environmental Engineering, UC Berkeley
The Department of Civil and Environmental Engineering at UC Berkeley is a leading academic department renowned for its research and education in infrastructure, environmental sustainability, and related engineering disciplines.
-
D.
School of Engineering
The School of Engineering at Vanderbilt University is an academic division offering undergraduate and graduate programs in various engineering disciplines, known for its research and interdisciplinary collaboration.
-
E.
School of Engineering
The School of Engineering at Stanford University is a leading engineering institution known for its cutting-edge research, innovation, and influential role in Silicon Valley’s technological development.
- F. None of above. chosen
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_69a2e801e1d48190b505d1dd336b52ac |
completed | Feb. 28, 2026, 1:05 p.m. |
| NER | Named-entity recognition | batch_69a2eef07e748190b05392778f3de980 |
completed | Feb. 28, 2026, 1:34 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69a42f6a359081909c27b9e382633aa8 |
completed | March 1, 2026, 12:22 p.m. |
| NEDg | Description generation | batch_69a4302e3a7c81909cb717f13b5fe74d |
completed | March 1, 2026, 12:25 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69a430c72ff88190ad48e4b2d1f21f43 |
completed | March 1, 2026, 12:27 p.m. |
Created at: Feb. 28, 2026, 1:11 p.m.