Triple
T24339446
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Надежда |
E613472
|
entity |
| Predicate | значениеНаАнглийском |
P51539
|
FINISHED |
| Object | hope |
—
|
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: hope | Statement: [Надежда, значениеНаАнглийском, hope]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: значениеНаАнглийском Context triple: [Надежда, значениеНаАнглийском, hope]
-
A.
hasEnglishNameMeaning
chosen
Indicates that an entity is associated with an English-language name along with the meaning or semantic interpretation of that name.
-
B.
имеетМеждународноеЗначениеКак
Indicates that something holds international significance or importance in the capacity or role specified by the related entity.
-
C.
valuedLanguage
Indicates that one entity considers a particular language important, appreciated, or held in high regard.
-
D.
value
Indicates that one entity possesses, represents, or corresponds to a particular quantity, quality, or assigned worth.
-
E.
valuesIn
Indicates that one entity specifies or constrains the set of permissible values for another entity.
- 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_69e2d7dcc5a08190b53691130d56cbc4 |
completed | April 18, 2026, 1:01 a.m. |
| NER | Named-entity recognition | batch_69f2932324e8819082344cf42eddc274 |
completed | April 29, 2026, 11:24 p.m. |
| PD | Predicate disambiguation | batch_69f287ad30048190b3ad3613486f277f |
completed | April 29, 2026, 10:35 p.m. |
Created at: April 18, 2026, 1:57 a.m.