Triple
T30574177
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Сатин |
E778197
|
entity |
| Predicate | отношениеКЧеловеку |
P8492
|
FINISHED |
| Object | отстаивает идею человеческого достоинства |
—
|
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: отстаивает идею человеческого достоинства | Statement: [Сатин, отношениеКЧеловеку, отстаивает идею человеческого достоинства]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: отношениеКЧеловеку Context triple: [Сатин, отношениеКЧеловеку, отстаивает идею человеческого достоинства]
-
A.
associationWithHumans
Indicates a general relationship, connection, or involvement between an entity and one or more humans.
-
B.
relationshipToHumans
chosen
Indicates the nature or type of connection, association, or relevance that something has specifically with humans.
-
C.
relationshipToCreature
Indicates a specified type of relational connection that one entity has toward a particular creature.
-
D.
inRelationshipWith
Indicates that two entities are mutually involved in a defined personal, romantic, or partnership relationship with each other.
-
E.
termRelationTo
Indicates a general relational association between one term and another, without specifying the exact nature of that relationship.
- 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_69f68a16debc8190a12f5f65ced055d7 |
completed | May 2, 2026, 11:34 p.m. |
| PD | Predicate disambiguation | batch_69f6860def1c81909d79e1f088c4b5e5 |
completed | May 2, 2026, 11:17 p.m. |
Created at: April 29, 2026, 8:22 p.m.