Triple
T30574209
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Пепел |
E778198
|
entity |
| Predicate | странаПроисхожденияПроизведения |
P36448
|
FINISHED |
| Object | Российская империя |
—
|
NE NERFINISHED |
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: Российская империя | Statement: [Пепел, странаПроисхожденияПроизведения, Российская империя]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: странаПроисхожденияПроизведения Context triple: [Пепел, странаПроисхожденияПроизведения, Российская империя]
-
A.
странаПроисхождения
Indicates that one entity is the country from which another entity originates or comes.
-
B.
hasLiteraryOriginAuthorNationality
Indicates that the nationality of the author from whom a work or concept originates is being specified.
-
C.
персонажПроизведения
Indicates a relationship where a person or entity is a character appearing in a particular literary or artistic work.
-
D.
странаСоздания
Indicates the country in which an entity (such as a work, product, or organization) was originally created or produced.
-
E.
literaryOriginCountry
chosen
Indicates the country from which a literary work or literary tradition originally comes.
- 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_69f2249f8c148190ae7eb3912cde112a |
completed | April 29, 2026, 3:32 p.m. |
| NER | Named-entity recognition | batch_69f68f670b608190a0b6ab60d722b4e0 |
completed | May 2, 2026, 11:57 p.m. |
| PD | Predicate disambiguation | batch_69f68b7b03488190b1db5fde4c7dd6e5 |
completed | May 2, 2026, 11:40 p.m. |
Created at: April 29, 2026, 8:22 p.m.