Triple
T22982931
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | The Scheme Programming Language (book examples) |
E571520
|
entity |
| Predicate | implementationTarget |
P150488
|
FINISHED |
| Object | Chez Scheme |
—
|
NE NERFINISHED |
How this triple was built (3 steps)
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.
NER
Named-entity recognition
gpt-5-mini
Instruction
Given a phrase, classify it is english named entity (e.g., persons, organizations, works of art) in Latin script, or not (e.g., literals, dates, URLs, verbose phrases). For disambiguation, the statement where the phrase occurs as object is also given. Please return a JSON object with `phrase` (string, the phrase being analyzed) and `is_ne` (boolean, indicating whether the phrase is a Named Entity).
Input
Phrase: Chez Scheme | Statement: [The Scheme Programming Language (book examples), implementationTarget, Chez Scheme]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Chez Scheme Context triple: [The Scheme Programming Language (book examples), implementationTarget, Chez Scheme]
-
A.
Chez Scheme
chosen
Chez Scheme is a high-performance, optimizing implementation of the Scheme programming language widely used for both research and production systems.
-
B.
Scheme
Scheme is a minimalist, lexically scoped dialect of the Lisp programming language known for its elegant functional programming model and powerful macro system.
-
C.
Franz Lisp
Franz Lisp is a dialect of the Lisp programming language developed in the late 1970s at the University of California, Berkeley, primarily for use in artificial intelligence research and symbolic computation.
-
D.
Gambit Scheme
Gambit Scheme is a high-performance implementation of the Scheme programming language, known for its efficient compiler, support for concurrent and distributed programming, and ability to generate C code for portability.
-
E.
Maclisp
Maclisp is an early and influential dialect of the Lisp programming language developed at MIT, notable for shaping later Lisp systems and language designs.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: implementationTarget Context triple: [The Scheme Programming Language (book examples), implementationTarget, Chez Scheme]
-
A.
programTarget
Indicates that a program or initiative is directed toward, intended for, or focused on a particular target entity.
-
B.
backendTarget
Indicates that one entity serves as the backend system, service, or endpoint that another entity connects to or depends on for processing or functionality.
-
C.
implementationType
Indicates the specific manner or approach by which something is implemented or realized in practice.
-
D.
aimedToImplement
Indicates that an entity had the intention or plan to carry out, realize, or put another entity (such as a policy, idea, or system) into effect.
-
E.
usesTarget
Indicates that one entity employs, applies, or operates on another entity as its target or object of action.
- F. None of above. chosen
Provenance (4 batches)
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_69e245b3c50481908bb3741ec9f40862 |
completed | April 17, 2026, 2:37 p.m. |
| NER | Named-entity recognition | batch_69f1829775e881909c5d6d35d3fd57f7 |
completed | April 29, 2026, 4:01 a.m. |
| PD | Predicate disambiguation | batch_69ef3b974e7c8190b8be11dbb4518693 |
completed | April 27, 2026, 10:33 a.m. |
| PDg | Predicate description generation | batch_69ef538a115081908982597f79355840 |
completed | April 27, 2026, 12:16 p.m. |
Created at: April 17, 2026, 3:49 p.m.