Triple
T22445460
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Scheme48 virtual machine |
E554851
|
entity |
| Predicate | supportsImplementationTechnique |
P3047
|
FINISHED |
| Object | bytecode-based interpretation |
—
|
LITERAL FINISHED |
How this triple was built (2 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: bytecode-based interpretation | Statement: [Scheme48 virtual machine, supportsImplementationTechnique, bytecode-based interpretation]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: supportsImplementationTechnique Context triple: [Scheme48 virtual machine, supportsImplementationTechnique, bytecode-based interpretation]
-
A.
supportsImplementationOf
Indicates that one entity provides the necessary resources, framework, or assistance for another entity to be carried out, realized, or put into practice.
-
B.
allowedTechnique
Indicates that a particular technique or method is permitted or acceptable to use in a given context or under specified rules.
-
C.
hasTechnique
chosen
Indicates that an entity employs, utilizes, or is associated with a particular method, procedure, or technique.
-
D.
supportsFeature
Indicates that one entity provides, enables, or is compatible with a particular feature or capability of another.
-
E.
supportedParadigm
Indicates that one entity (such as a tool, language, or system) provides functionality or features that enable or are compatible with a particular paradigm or methodological approach.
- F. None of above.
Provenance (3 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_69e11e5113208190ab58c6b595f9d1d0 |
completed | April 16, 2026, 5:37 p.m. |
| NER | Named-entity recognition | batch_69f15b46e8ac8190bfa8c611ffcba822 |
completed | April 29, 2026, 1:13 a.m. |
| PD | Predicate disambiguation | batch_69e898ad961c819098fd1e46129bddcc |
completed | April 22, 2026, 9:45 a.m. |
Created at: April 16, 2026, 8:47 p.m.