Triple
T30574201
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Сатин |
E778197
|
entity |
| Predicate | относитсяКТрадиции |
P68934
|
FINISHED |
| Object | русская философская драма |
—
|
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: русская философская драма | Statement: [Сатин, относитсяКТрадиции, русская философская драма]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: относитсяКТрадиции Context triple: [Сатин, относитсяКТрадиции, русская философская драма]
-
A.
traditionAssociatesWith
Indicates that a particular tradition is connected or linked to another entity, such as a practice, group, place, or concept.
-
B.
traditionAscribes
Indicates that a tradition attributes or assigns a particular quality, role, origin, or action to an entity.
-
C.
linkedToTradition
chosen
Indicates a relationship where something is connected or related to a particular tradition, heritage, or customary practice.
-
D.
mainTradition
Indicates that one entity represents the primary or dominant tradition associated with another entity.
-
E.
languageTraditions
Indicates that there is a relationship between entities involving the customs, practices, and conventions associated with the use, preservation, or transmission of a particular language.
- 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_69f689167878819093cb4f58efd47e2e |
completed | May 2, 2026, 11:30 p.m. |
| PD | Predicate disambiguation | batch_69f67e42d6688190b60e91d2c388c555 |
completed | May 2, 2026, 10:44 p.m. |
Created at: April 29, 2026, 8:22 p.m.