Triple
T13183463
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | School of Engineering at Stanford University |
E313785
|
entity |
| Predicate | hasDepartment |
P35
|
FINISHED |
| Object |
Department of Management Science and Engineering at Stanford University
The Department of Management Science and Engineering at Stanford University is an interdisciplinary academic department that integrates engineering, business, and policy to study and improve complex systems in areas such as operations, decision analysis, information technology, and organizational strategy.
|
E1026955
|
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 Management Science and Engineering at Stanford University | Statement: [School of Engineering at Stanford University, hasDepartment, Department of Management Science and Engineering at Stanford University]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Department of Management Science and Engineering at Stanford University Context triple: [School of Engineering at Stanford University, hasDepartment, Department of Management Science and Engineering at Stanford University]
-
A.
School of Engineering at Stanford University
The School of Engineering at Stanford University is a leading engineering institution renowned for its cutting-edge research, innovation, and close ties to Silicon Valley.
-
B.
Department of Industrial Engineering and Operations Research, UC Berkeley
The Department of Industrial Engineering and Operations Research at UC Berkeley is a leading academic department specializing in optimization, stochastic processes, data analytics, and systems engineering for complex decision-making in industry and society.
-
C.
School of Humanities and Sciences, Stanford University
The School of Humanities and Sciences at Stanford University is the university’s largest academic division, encompassing a wide range of disciplines in the arts, humanities, social sciences, and natural sciences.
-
D.
Stanford Computer Science Department
The Stanford Computer Science Department is a leading academic department at Stanford University renowned for its pioneering research and education in computer science and its close ties to Silicon Valley innovation.
-
E.
Stanford University Department of Economics
The Stanford University Department of Economics is a leading academic department known for its influential research and teaching in economics, particularly in macroeconomics, economic theory, and applied economics.
- 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 Management Science and Engineering at Stanford University Triple: [School of Engineering at Stanford University, hasDepartment, Department of Management Science and Engineering at Stanford University]
Generated description
The Department of Management Science and Engineering at Stanford University is an interdisciplinary academic department that integrates engineering, business, and policy to study and improve complex systems in areas such as operations, decision analysis, information technology, and organizational strategy.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Department of Management Science and Engineering at Stanford University Target entity description: The Department of Management Science and Engineering at Stanford University is an interdisciplinary academic department that integrates engineering, business, and policy to study and improve complex systems in areas such as operations, decision analysis, information technology, and organizational strategy.
-
A.
School of Engineering at Stanford University
The School of Engineering at Stanford University is a leading engineering institution renowned for its cutting-edge research, innovation, and close ties to Silicon Valley.
-
B.
Department of Industrial Engineering and Operations Research, UC Berkeley
The Department of Industrial Engineering and Operations Research at UC Berkeley is a leading academic department specializing in optimization, stochastic processes, data analytics, and systems engineering for complex decision-making in industry and society.
-
C.
School of Humanities and Sciences, Stanford University
The School of Humanities and Sciences at Stanford University is the university’s largest academic division, encompassing a wide range of disciplines in the arts, humanities, social sciences, and natural sciences.
-
D.
Stanford Computer Science Department
The Stanford Computer Science Department is a leading academic department at Stanford University renowned for its pioneering research and education in computer science and its close ties to Silicon Valley innovation.
-
E.
Stanford University Department of Economics
The Stanford University Department of Economics is a leading academic department known for its influential research and teaching in economics, particularly in macroeconomics, economic theory, and applied economics.
- 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_69d806ae1e08819090d95bfe1538cc17 |
completed | April 9, 2026, 8:06 p.m. |
| NER | Named-entity recognition | batch_69d98c4a0b0081908027bf77442ff5ff |
completed | April 10, 2026, 11:48 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f6f5f307408190afd0df16a417c456 |
completed | May 3, 2026, 7:14 a.m. |
| NEDg | Description generation | batch_69f6f707d9e48190b772520ca9f4ac2c |
completed | May 3, 2026, 7:19 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69f6f85149cc8190adf68387475d3286 |
completed | May 3, 2026, 7:25 a.m. |
Created at: April 9, 2026, 9:15 p.m.