Triple
T36467440
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | RLISP |
E898458
|
entity |
| Predicate | primaryImplementationLanguageOf |
—
|
GENERATED |
| Object | REDUCE computer algebra system |
—
|
UNRECOGNIZED GENERATED |
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.
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: primaryImplementationLanguageOf Context triple: [RLISP, primaryImplementationLanguageOf, REDUCE computer algebra system]
-
A.
languageOfImplementation
chosen
Indicates the programming language in which a given software system, component, or algorithm is implemented.
-
B.
primaryLanguageOfPrograms
Indicates that a given language is the main programming language used to implement or develop the specified programs.
-
C.
languageOfPrimaryProgramming
Indicates the programming language that is primarily used to implement or develop a given entity.
-
D.
developedPrimarilyIn
Indicates that something was mainly created, advanced, or brought into its primary form within a particular context, place, or domain, even if contributions occurred elsewhere.
-
E.
languageOfPrimaryCompilation
Indicates the programming or source language in which an entity was primarily compiled.
- 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_69f76e58ebd88190b75d9b169b59d793 |
completed | May 3, 2026, 3:48 p.m. |
Created at: May 3, 2026, 4:10 p.m.