Triple
T3518648
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Stanford Mechanical Engineering Department |
E74366
|
entity |
| Predicate | collaboratesWith |
P37
|
FINISHED |
| Object |
Stanford Aeronautics and Astronautics Department
The Stanford Aeronautics and Astronautics Department is a leading academic and research department at Stanford University focused on aerospace science, engineering, and technology.
|
E365875
|
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: Stanford Aeronautics and Astronautics Department | Statement: [Stanford Mechanical Engineering Department, collaboratesWith, Stanford Aeronautics and Astronautics Department]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Stanford Aeronautics and Astronautics Department Context triple: [Stanford Mechanical Engineering Department, collaboratesWith, Stanford Aeronautics and Astronautics Department]
-
A.
MIT Department of Aeronautics and Astronautics
The MIT Department of Aeronautics and Astronautics is a leading academic and research department focused on aerospace engineering, space exploration, and related technologies.
-
B.
Graduate Aerospace Laboratories of the California Institute of Technology
The Graduate Aerospace Laboratories of the California Institute of Technology (GALCIT) is a leading research and educational center in aerospace engineering and related fields, renowned for its pioneering work in aeronautics, astronautics, and fluid mechanics.
-
C.
Department of Aeronautics and Astronautics
The Department of Aeronautics and Astronautics at the University of Tokyo is a leading academic and research unit specializing in aerospace engineering, space science, and related advanced technologies.
-
D.
Department of Aeronautics and Astronautics
The Department of Aeronautics and Astronautics at Kyoto University is an academic unit specializing in education and research on aircraft, spacecraft, and related aerospace technologies.
-
E.
John D. Odegard School of Aerospace Sciences
The John D. Odegard School of Aerospace Sciences is a leading aviation and aerospace education and research institution renowned for its comprehensive flight training, air traffic management, and space studies programs.
- 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: Stanford Aeronautics and Astronautics Department Triple: [Stanford Mechanical Engineering Department, collaboratesWith, Stanford Aeronautics and Astronautics Department]
Generated description
The Stanford Aeronautics and Astronautics Department is a leading academic and research department at Stanford University focused on aerospace science, engineering, and technology.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Stanford Aeronautics and Astronautics Department Target entity description: The Stanford Aeronautics and Astronautics Department is a leading academic and research department at Stanford University focused on aerospace science, engineering, and technology.
-
A.
MIT Department of Aeronautics and Astronautics
The MIT Department of Aeronautics and Astronautics is a leading academic and research department focused on aerospace engineering, space exploration, and related technologies.
-
B.
Graduate Aerospace Laboratories of the California Institute of Technology
The Graduate Aerospace Laboratories of the California Institute of Technology (GALCIT) is a leading research and educational center in aerospace engineering and related fields, renowned for its pioneering work in aeronautics, astronautics, and fluid mechanics.
-
C.
Department of Aeronautics and Astronautics
The Department of Aeronautics and Astronautics at the University of Tokyo is a leading academic and research unit specializing in aerospace engineering, space science, and related advanced technologies.
-
D.
Department of Aeronautics and Astronautics
The Department of Aeronautics and Astronautics at Kyoto University is an academic unit specializing in education and research on aircraft, spacecraft, and related aerospace technologies.
-
E.
John D. Odegard School of Aerospace Sciences
The John D. Odegard School of Aerospace Sciences is a leading aviation and aerospace education and research institution renowned for its comprehensive flight training, air traffic management, and space studies programs.
- 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_69ad85cfb5c881909c9a2edd9d6043cc |
completed | March 8, 2026, 2:21 p.m. |
| NER | Named-entity recognition | batch_69adbc49dea88190924c8abd29aabdad |
completed | March 8, 2026, 6:13 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69b37e80cd588190ae012f151ef59c52 |
completed | March 13, 2026, 3:03 a.m. |
| NEDg | Description generation | batch_69b37ef902208190842ddbe6427ca42b |
completed | March 13, 2026, 3:05 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69b382b43b708190be7ae3d44b0a393a |
completed | March 13, 2026, 3:21 a.m. |
Created at: March 8, 2026, 3:19 p.m.