Triple
T25926929
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | ВВС |
E653330
|
entity |
| Predicate | язык исполнения |
P48590
|
FINISHED |
| Object | русский |
—
|
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: русский | Statement: [ВВС, язык исполнения, русский]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: язык исполнения Context triple: [ВВС, язык исполнения, русский]
-
A.
languageOfImplementation
Indicates the programming language in which a given software system, component, or algorithm is implemented.
-
B.
languageOfPrimaryCompilation
Indicates the programming or source language in which an entity was primarily compiled.
-
C.
compilerLanguage
Indicates that one entity is the programming language in which a given compiler is implemented.
-
D.
languageOfInterpretation
chosen
Indicates the language in which something (such as text, speech, or content) is interpreted or understood.
-
E.
interpreter
Indicates that one entity serves to translate or render the meaning of another entity (such as language, code, or symbols) into an understandable or executable form.
- 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_69e7ab3eb9b881909c1390690551f868 |
completed | April 21, 2026, 4:52 p.m. |
| NER | Named-entity recognition | batch_69f6041473b08190a9b421b06f24b615 |
completed | May 2, 2026, 2:03 p.m. |
| PD | Predicate disambiguation | batch_69f4a10480748190a2e67bd399fc435d |
completed | May 1, 2026, 12:48 p.m. |
Created at: April 22, 2026, 8:35 a.m.