Triple
T31647002
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Mobile Ambients |
E807608
|
entity |
| Predicate | instanceOf |
P0
|
FINISHED |
| Object | formal model of computation |
C7185
|
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: formal model of computation Context triple: [Mobile Ambients, instanceOf, formal model of computation]
-
A.
model of computation
chosen
A model of computation is an abstract mathematical framework that defines how algorithms are represented and executed, specifying the rules, operations, and resources available for performing computations.
-
B.
structure in computability theory
A structure in computability theory is a mathematical object consisting of a domain together with specified operations, relations, and constants, studied with respect to the computability or definability of its elements and functions.
-
C.
theoretical computer science blog
A theoretical computer science blog is an online platform that explores and explains abstract computational concepts, models, and proofs, often connecting cutting-edge research with clear, insightful commentary for students, researchers, and enthusiasts.
-
D.
area of theoretical computer science
An area of theoretical computer science is a conceptual domain that studies the mathematical foundations, models, and limits of computation and algorithms.
-
E.
foundational principle in theoretical computer science
A foundational principle in theoretical computer science is a core, abstract concept or rule—such as computability, complexity, or formal language theory—that underlies and unifies the study of algorithms, computation models, and their inherent limits.
- 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_69f348d9ce58819093ea2da83cbeeec1 |
completed | April 30, 2026, 12:19 p.m. |
Created at: April 30, 2026, 10:51 p.m.