Triple
T19111826
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | PlusCal |
E467808
|
entity |
| Predicate | instanceOf |
P0
|
FINISHED |
| Object | formal specification-related language |
C7085
|
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 specification-related language Context triple: [PlusCal, instanceOf, formal specification-related language]
-
A.
formal language specification
A formal language specification is a precise, mathematically defined description of the syntax and structure of a language, typically using grammars and formal rules to unambiguously determine which strings belong to the language.
-
B.
syntax specification language
A syntax specification language is a formal notation used to define the grammatical structure and valid constructs of a programming or data language.
-
C.
programming language specification
chosen
A programming language specification is a formal document that precisely defines a language’s syntax, semantics, and behavior to ensure consistent implementation and usage across tools and platforms.
-
D.
Knowledge representation language
A knowledge representation language is a formal system used to encode information about the world in a structured, machine-interpretable way so that computers can reason about it.
-
E.
formal language classification scheme
A formal language classification scheme is a systematic framework for categorizing formal languages based on their generative or recognitional power, typically using hierarchies such as the Chomsky hierarchy.
- 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_69d8dd06a26481908039e2a1bae8c597 |
completed | April 10, 2026, 11:20 a.m. |
Created at: April 10, 2026, 12:04 p.m.