Triple
T9404552
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Золотой петушок |
E226552
|
entity |
| Predicate | литературный жанр первоисточника |
P82069
|
FINISHED |
| Object | сказка в стихах |
—
|
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: сказка в стихах | Statement: [Золотой петушок, литературный жанр первоисточника, сказка в стихах]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: литературный жанр первоисточника Context triple: [Золотой петушок, литературный жанр первоисточника, сказка в стихах]
-
A.
literaryGenreOfSourceWork
chosen
Indicates that a work belongs to, or is characterized by, a particular literary genre.
-
B.
literaryGenreOfWork
Indicates that a work belongs to or is classified under a particular literary genre.
-
C.
literarySource
Indicates that one entity serves as the written or literary origin, reference, or basis for another entity.
-
D.
literaryOriginCountry
Indicates the country from which a literary work or literary tradition originally comes.
-
E.
genreOfOriginWork
Indicates that a work is classified under a particular genre based on the genre of its original source work.
- 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_69ca843170f88190800a8ab2b5fc568e |
completed | March 30, 2026, 2:09 p.m. |
| NER | Named-entity recognition | batch_69cd51c125dc8190a6438cf0ee23e7a9 |
completed | April 1, 2026, 5:11 p.m. |
| PD | Predicate disambiguation | batch_69cca54c37f88190bddccf28e5fe5c84 |
completed | April 1, 2026, 4:55 a.m. |
Created at: March 30, 2026, 7:46 p.m.