Triple
T32215175
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Isar |
E822907
|
entity |
| Predicate | instanceOf |
P0
|
FINISHED |
| Object | structured proof language |
C26027
|
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: structured proof language Context triple: [Isar, instanceOf, structured proof language]
-
A.
interactive theorem prover
An interactive theorem prover is a software system that assists users in the formalization and step-by-step verification of mathematical proofs or program properties through human-guided logical reasoning.
-
B.
proof assistant
chosen
A proof assistant is a software tool that helps users construct, check, and manage formal mathematical proofs or program correctness proofs by interacting with a rigorous logical framework.
-
C.
theorem prover
A theorem prover is a software system or algorithm that automatically or semi-automatically checks the validity of logical statements by deriving conclusions from axioms and inference rules.
-
D.
construction in proof theory
A construction in proof theory is a systematically defined method or procedure used within formal proofs to build objects, derive new statements, or transform existing proofs while preserving logical validity.
-
E.
framework in automated theorem proving
A framework in automated theorem proving is a structured environment of algorithms, data structures, and interfaces that coordinates the representation of logical formulas, the application of inference rules, and the management of proof search to automatically derive or verify theorems.
- 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_69f3490a3bec819097bc58d4731b9d08 |
completed | April 30, 2026, 12:20 p.m. |
Created at: May 1, 2026, 12:37 a.m.