Triple
T392728
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Yale School of Engineering & Applied Science |
E8914
|
entity |
| Predicate | hasFacility |
P105
|
FINISHED |
| Object |
Yale Institute for Nanoscience and Quantum Engineering
The Yale Institute for Nanoscience and Quantum Engineering is a Yale research center dedicated to advancing fundamental and applied studies in nanotechnology and quantum science, including quantum computing and related technologies.
|
E8914
|
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: Yale Institute for Nanoscience and Quantum Engineering | Statement: [Yale School of Engineering & Applied Science, hasFacility, Yale Institute for Nanoscience and Quantum Engineering]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Yale Institute for Nanoscience and Quantum Engineering Context triple: [Yale School of Engineering & Applied Science, hasFacility, Yale Institute for Nanoscience and Quantum Engineering]
-
A.
Yale School of Engineering & Applied Science
Yale School of Engineering & Applied Science is Yale University's engineering and applied science division, offering interdisciplinary research and education across fields such as biomedical, chemical, electrical, environmental, and mechanical engineering.
-
B.
Harvard John A. Paulson School of Engineering and Applied Sciences
The Harvard John A. Paulson School of Engineering and Applied Sciences is Harvard University's engineering and applied sciences school, known for interdisciplinary research and education at the intersection of technology, science, and society.
-
C.
Molecular Foundry
The Molecular Foundry is a U.S. Department of Energy nanoscience research facility that provides state-of-the-art instrumentation and expertise for the design, synthesis, and characterization of nanoscale materials.
-
D.
Pratt School of Engineering
The Pratt School of Engineering is Duke University's engineering school, known for its strong programs in biomedical engineering, electrical and computer engineering, mechanical engineering, and civil and environmental engineering.
-
E.
McKelvey School of Engineering
The McKelvey School of Engineering is the engineering school of Washington University in St. Louis, known for its research-intensive programs in areas such as biomedical engineering, computer science, and materials 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: Yale Institute for Nanoscience and Quantum Engineering Triple: [Yale School of Engineering & Applied Science, hasFacility, Yale Institute for Nanoscience and Quantum Engineering]
Generated description
The Yale Institute for Nanoscience and Quantum Engineering is a Yale research center dedicated to advancing fundamental and applied studies in nanotechnology and quantum science, including quantum computing and related technologies.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Yale Institute for Nanoscience and Quantum Engineering Target entity description: The Yale Institute for Nanoscience and Quantum Engineering is a Yale research center dedicated to advancing fundamental and applied studies in nanotechnology and quantum science, including quantum computing and related technologies.
-
A.
Yale School of Engineering & Applied Science
chosen
Yale School of Engineering & Applied Science is Yale University's engineering and applied science division, offering interdisciplinary research and education across fields such as biomedical, chemical, electrical, environmental, and mechanical engineering.
-
B.
Harvard John A. Paulson School of Engineering and Applied Sciences
The Harvard John A. Paulson School of Engineering and Applied Sciences is Harvard University's engineering and applied sciences school, known for interdisciplinary research and education at the intersection of technology, science, and society.
-
C.
Molecular Foundry
The Molecular Foundry is a U.S. Department of Energy nanoscience research facility that provides state-of-the-art instrumentation and expertise for the design, synthesis, and characterization of nanoscale materials.
-
D.
Pratt School of Engineering
The Pratt School of Engineering is Duke University's engineering school, known for its strong programs in biomedical engineering, electrical and computer engineering, mechanical engineering, and civil and environmental engineering.
-
E.
McKelvey School of Engineering
The McKelvey School of Engineering is the engineering school of Washington University in St. Louis, known for its research-intensive programs in areas such as biomedical engineering, computer science, and materials 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_69a2e7f55c60819097aff65ea2ca2832 |
completed | Feb. 28, 2026, 1:04 p.m. |
| NER | Named-entity recognition | batch_69a2ec7637c08190b695ec640edbf6c2 |
completed | Feb. 28, 2026, 1:24 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69a405f74cd08190a2e165506638607c |
completed | March 1, 2026, 9:25 a.m. |
| NEDg | Description generation | batch_69a406a17fdc8190a067217b806fbc57 |
completed | March 1, 2026, 9:28 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69a4070050dc81909fdfbcfce23e428e |
completed | March 1, 2026, 9:29 a.m. |
Created at: Feb. 28, 2026, 1:08 p.m.