Triple
T17674831
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | BEAM virtual machine |
E440619
|
entity |
| Predicate | primaryParadigmSupport |
P11868
|
FINISHED |
| Object | concurrent programming |
—
|
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: concurrent programming | Statement: [BEAM virtual machine, primaryParadigmSupport, concurrent programming]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: primaryParadigmSupport Context triple: [BEAM virtual machine, primaryParadigmSupport, concurrent programming]
-
A.
supportedParadigm
chosen
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.
-
B.
primaryModes
Indicates the main methods, forms, or channels through which something typically operates, is expressed, or is carried out.
-
C.
primaryArchitecture
Indicates that one entity serves as the main or predominant architectural style, structure, or design associated with another entity.
-
D.
primaryCapability
Indicates that one entity serves as the main or most important functional ability, role, or competence of another entity.
-
E.
languageParadigm
Indicates a relationship where a programming language follows, supports, or is categorized under a particular programming paradigm.
- 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_69d8b9e87e18819087104a44dc4dc5b1 |
completed | April 10, 2026, 8:50 a.m. |
| NER | Named-entity recognition | batch_69e46f6ba22081909e2099490c047378 |
completed | April 19, 2026, 6 a.m. |
| PD | Predicate disambiguation | batch_69e3cde007d8819090dd92eea9f022cc |
completed | April 18, 2026, 6:30 p.m. |
Created at: April 10, 2026, 10 a.m.