Triple
T17277832
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | MTL |
E419436
|
entity |
| Predicate | associatedWithDepartment |
P12481
|
FINISHED |
| Object | MIT Department of Materials Science and Engineering |
E1026970
|
NE FINISHED |
How this triple was built (2 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: MIT Department of Materials Science and Engineering | Statement: [MTL, associatedWithDepartment, MIT Department of Materials Science and Engineering]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: MIT Department of Materials Science and Engineering Context triple: [MTL, associatedWithDepartment, MIT Department of Materials Science and Engineering]
-
A.
MIT Department of Materials Science and Engineering
chosen
The MIT Department of Materials Science and Engineering is a leading academic department at the Massachusetts Institute of Technology focused on researching and educating in the design, characterization, and engineering of materials for advanced technologies.
-
B.
Department of Materials Science and Engineering at Stanford University
The Department of Materials Science and Engineering at Stanford University is a leading academic and research unit focused on understanding and engineering materials for applications spanning electronics, energy, medicine, and advanced manufacturing.
-
C.
Department of Materials Science and Engineering (University of Michigan)
The Department of Materials Science and Engineering at the University of Michigan is an academic department focused on research and education in the properties, design, and applications of materials for engineering and technology.
-
D.
Department of Materials Science and Engineering, UC Berkeley
The Department of Materials Science and Engineering at UC Berkeley is a leading academic department focused on the study, design, and engineering of materials for advanced technologies and scientific innovation.
-
E.
Department of Materials Science and Engineering (Carnegie Mellon University)
The Department of Materials Science and Engineering at Carnegie Mellon University is an academic unit specializing in the study, research, and education of materials and their applications in engineering and technology.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (3 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_69d886da626481908a14ce7830329a35 |
completed | April 10, 2026, 5:12 a.m. |
| NER | Named-entity recognition | batch_69e43327b048819095fbd93b2105533a |
completed | April 19, 2026, 1:43 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a0179513ffc81908bac515823e88a1a |
completed | May 11, 2026, 6:38 a.m. |
Created at: April 10, 2026, 5:40 a.m.