Triple
T31217858
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | царь Додон |
E795920
|
entity |
| Predicate | moralLessonRelation |
P60875
|
FINISHED |
| Object | наказание за нарушение обещаний |
—
|
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: наказание за нарушение обещаний | Statement: [царь Додон, moralLessonRelation, наказание за нарушение обещаний]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: moralLessonRelation Context triple: [царь Додон, moralLessonRelation, наказание за нарушение обещаний]
-
A.
moralAssociation
Indicates a perceived ethical or moral connection between entities, such as one influencing or reflecting the moral character, values, or judgment of the other.
-
B.
moralOfMyth
chosen
Indicates the underlying lesson, ethical teaching, or message conveyed by a myth.
-
C.
moralConcept
Indicates that one entity represents or embodies a moral or ethical concept in relation to another.
-
D.
moralExemplarOf
Indicates that one entity serves as a model or standard of moral behavior for another entity or group.
-
E.
moralContent
Indicates that something contains, expresses, or conveys moral values, judgments, or ethical significance.
- 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_69f224d9d52c8190a61f68ded37fa755 |
completed | April 29, 2026, 3:33 p.m. |
| NER | Named-entity recognition | batch_69f6b21e7e088190832a3db585daea1c |
completed | May 3, 2026, 2:25 a.m. |
| PD | Predicate disambiguation | batch_69f6b14faf608190a25b977c0740729c |
completed | May 3, 2026, 2:22 a.m. |
Created at: April 29, 2026, 9:10 p.m.