Triple
T29776571
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Finite Automata and Their Decision Problems |
E755394
|
entity |
| Predicate | instanceOf |
P0
|
FINISHED |
| Object | landmark paper in computer science |
C33131
|
CONCEPT FINISHED |
How this triple was built (1 step)
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.
CD
Concept disambiguation
gpt-5-mini-2025-08-07
Target class: landmark paper in computer science Context triple: [Finite Automata and Their Decision Problems, instanceOf, landmark paper in computer science]
-
A.
landmark paper in machine learning
A landmark paper in machine learning is a highly influential publication that introduces foundational theories, algorithms, or empirical results that significantly shape subsequent research and practice in the field.
-
B.
landmark physics paper
A landmark physics paper is a seminal scientific publication that fundamentally advances understanding in physics, often introducing new theories, experimental discoveries, or methods that reshape subsequent research and thinking in the field.
-
C.
landmark paper in nonlinear science
A landmark paper in nonlinear science is a seminal research work that fundamentally advances understanding of complex, nonlinear phenomena and significantly shapes subsequent theory, methods, or applications in the field.
-
D.
complexity theory paper
chosen
A complexity theory paper is a scholarly work that rigorously analyzes the computational resources required to solve problems, classifies them into complexity classes, and explores relationships or separations between these classes.
-
E.
historical influence on computing
Historical influence on computing encompasses the people, events, technologies, and social forces from the past that have shaped the development, adoption, and evolution of computer systems and concepts over time.
- F. None of above.
Provenance (1 batch)
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_69f0ef878574819088c867fd1a5c8b86 |
completed | April 28, 2026, 5:33 p.m. |
Created at: April 28, 2026, 8:46 p.m.