Triple
T14343222
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Pizza (programming language) |
E355652
|
entity |
| Predicate | instanceOf |
P0
|
FINISHED |
| Object | experimental programming language |
C1703
|
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: experimental programming language Context triple: [Pizza (programming language), instanceOf, experimental programming language]
-
A.
experimental program
An experimental program is a structured, time-bound initiative designed to test new ideas, methods, or interventions under controlled conditions to evaluate their feasibility, effectiveness, and potential for broader implementation.
-
B.
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.
-
C.
programming language
chosen
A programming language is a formal system of syntax and semantics that allows humans to write instructions a computer can execute to perform specific tasks or solve problems.
-
D.
programming language design
Programming language design is the process of defining the syntax, semantics, and features of a language to enable humans to express computations clearly, safely, and efficiently for execution by machines.
-
E.
programming language extension
A programming language extension is an add-on or modification that enhances an existing language with new syntax, features, or capabilities without fundamentally changing its core semantics.
- 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_69d82790a7e08190877e2d349b2e8d8e |
completed | April 9, 2026, 10:26 p.m. |
Created at: April 10, 2026, 1:14 a.m.