Triple
T20808557
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Language Manifesto of 1900 |
E512233
|
entity |
| Predicate | languageElevated |
P8513
|
FINISHED |
| Object | Russian |
—
|
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: Russian | Statement: [Language Manifesto of 1900, languageElevated, Russian]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: languageElevated Context triple: [Language Manifesto of 1900, languageElevated, Russian]
-
A.
overarchingLanguage
Indicates that one language serves as the primary or dominant linguistic framework governing or unifying other languages or language varieties in a given context.
-
B.
elevatedTo
Indicates that one entity is promoted or raised to a higher rank, status, position, or level relative to another.
-
C.
languageEmphasizes
Indicates that one language or linguistic system places particular focus, importance, or prominence on a specific feature, concept, or element compared to others.
-
D.
gradeUpper
Indicates that one entity has a higher or superior grade, level, or rank compared to another entity.
-
E.
languageOfExpression
chosen
Indicates that a particular language is used as the medium or form in which an expression (such as a text, utterance, or work) is realized.
- 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_69e0b4cd25088190b48ca9700cd24efc |
completed | April 16, 2026, 10:07 a.m. |
| NER | Named-entity recognition | batch_69e6c2d0a2a081908fb0e3d890e87aaf |
completed | April 21, 2026, 12:20 a.m. |
| PD | Predicate disambiguation | batch_69e5c99ca55481908e8d434fa901cfd6 |
completed | April 20, 2026, 6:37 a.m. |
Created at: April 16, 2026, 12:40 p.m.