Triple
T9566752
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | LCF theorem prover |
E230806
|
entity |
| Predicate | instanceOf |
P0
|
FINISHED |
| Object | interactive theorem prover |
C26026
|
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: interactive theorem prover Context triple: [LCF theorem prover, instanceOf, interactive theorem prover]
-
A.
automated theorem proving technique
An automated theorem proving technique is a systematic, algorithmic method used by computer programs to derive logical conclusions and verify the validity of mathematical or logical statements without human intervention.
-
B.
logic for concurrent systems
Logic for concurrent systems is a formal framework for specifying and reasoning about the behaviors, interactions, and correctness properties of systems in which multiple processes execute and communicate simultaneously.
-
C.
mathematical theorem
A mathematical theorem is a rigorously proven statement derived from axioms and previously established results, expressing a fundamental truth within a formal mathematical system.
-
D.
property of rewriting systems
A property of rewriting systems is a formal characteristic—such as confluence, termination, or completeness—that describes how and whether sequences of rule-based transformations behave and lead to consistent outcomes.
-
E.
axiomatic semantics
Axiomatic semantics is a formal method for defining the meaning of programs by specifying logical assertions (preconditions and postconditions) that describe the behavior and correctness of program constructs.
- F. None of above. chosen
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_69ca847f22188190a56e4a97625bef22 |
completed | March 30, 2026, 2:11 p.m. |
Created at: March 30, 2026, 8:04 p.m.