Triple
T21245878
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Александр Миротворец |
E523605
|
entity |
| Predicate | связаноСПонятием |
P64869
|
FINISHED |
| Object | миротворчество |
—
|
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: миротворчество | Statement: [Александр Миротворец, связаноСПонятием, миротворчество]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: связаноСПонятием Context triple: [Александр Миротворец, связаноСПонятием, миротворчество]
-
A.
definitionOfRelatedConcept
chosen
Indicates that one concept provides the formal meaning, explanation, or characterization of another closely related concept.
-
B.
relatedPass
Indicates that one pass is associated with or connected to another pass in some relevant way.
-
C.
relatedToTerm
Indicates a general, non-specific relationship or association between one term and another.
-
D.
relatedTo
Indicates a general, non-specific relationship or association exists between two entities.
-
E.
associatedIdea
Indicates that one entity is conceptually linked or related to another as an idea, theme, or notion.
- 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_69e0b513b89c81908b27147e91368db2 |
completed | April 16, 2026, 10:08 a.m. |
| NER | Named-entity recognition | batch_69e73599e5548190ad70d2c2bfa9e919 |
completed | April 21, 2026, 8:30 a.m. |
| PD | Predicate disambiguation | batch_69e5f61239708190ab7b3c83ae848a0d |
completed | April 20, 2026, 9:46 a.m. |
Created at: April 16, 2026, 3:49 p.m.