Triple
T4424940
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Haskell |
E95186
|
entity |
| Predicate | instanceOf |
P0
|
FINISHED |
| Object | lazy functional programming language |
C7022
|
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: lazy functional programming language Context triple: [Haskell, instanceOf, lazy functional programming language]
-
A.
functional programming language
chosen
A functional programming language is a programming paradigm where computation is treated as the evaluation of mathematical functions, emphasizing immutability, first-class functions, and avoidance of side effects.
-
B.
Elm
Elm is a deciduous tree known for its broad, serrated leaves, vase-shaped form, and use as a shade and ornamental species in temperate regions.
-
C.
Lisp dialect
A Lisp dialect is a specific variant of the Lisp programming language family, defined by its own syntax, semantics, and standard libraries while retaining Lisp’s core features like symbolic expressions and homoiconicity.
-
D.
ALGOL family programming language
An ALGOL family programming language is a high-level, block-structured, imperative language descended from the original ALGOL designs, characterized by clear syntax, lexical scoping, and strong influence on later mainstream languages like Pascal, C, and Java.
-
E.
interpreted programming language
An interpreted programming language is a type of language whose source code is executed directly by an interpreter program, which reads and performs the instructions line by line without requiring prior compilation to machine code.
- 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_69b3453c2a0c8190926b574c90766db9 |
completed | March 12, 2026, 10:59 p.m. |
Created at: March 12, 2026, 11:30 p.m.