Triple
T732841
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | MIT School of Engineering |
E14866
|
entity |
| Predicate | hasResearchUnit |
P1488
|
FINISHED |
| Object | Laboratory for Information and Decision Systems |
E45729
|
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: Laboratory for Information and Decision Systems | Statement: [MIT School of Engineering, hasResearchUnit, Laboratory for Information and Decision Systems]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Laboratory for Information and Decision Systems Context triple: [MIT School of Engineering, hasResearchUnit, Laboratory for Information and Decision Systems]
-
A.
MIT Laboratory for Information and Decision Systems
chosen
The MIT Laboratory for Information and Decision Systems is a research laboratory at the Massachusetts Institute of Technology focused on advancing the theory and applications of systems, control, communications, and data science.
-
B.
Computer Science and Artificial Intelligence Laboratory (CSAIL)
The Computer Science and Artificial Intelligence Laboratory (CSAIL) is MIT’s premier research lab for computer science, artificial intelligence, and related fields, known for pioneering work in areas such as robotics, machine learning, and systems.
-
C.
MIT Research Laboratory of Electronics
The MIT Research Laboratory of Electronics is a leading interdisciplinary research center at the Massachusetts Institute of Technology focused on advancing electronics, photonics, information science, and related technologies.
-
D.
MIT Department of Electrical Engineering
The MIT Department of Electrical Engineering is a leading academic department at the Massachusetts Institute of Technology renowned for pioneering research and education in electrical engineering and related fields.
-
E.
Stanford Artificial Intelligence Laboratory
The Stanford Artificial Intelligence Laboratory is a leading research center at Stanford University dedicated to advancing the theory and practice of artificial intelligence across robotics, machine learning, and related fields.
- 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_69a4934d9930819099eed80096b0597d |
completed | March 1, 2026, 7:28 p.m. |
| NER | Named-entity recognition | batch_69a4aa9ba3888190889a1ad554f73c5e |
completed | March 1, 2026, 9:07 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69a654e1d10c8190b69b30cc70add604 |
completed | March 3, 2026, 3:26 a.m. |
Created at: March 1, 2026, 7:37 p.m.