Triple
T8960842
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Феодосій Григорович Добжанський |
E213998
|
entity |
| Predicate | моваПраці |
P54404
|
FINISHED |
| Object | англійська |
—
|
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: англійська | Statement: [Феодосій Григорович Добжанський, моваПраці, англійська]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: моваПраці Context triple: [Феодосій Григорович Добжанський, моваПраці, англійська]
-
A.
worksTo
Indicates that one entity performs work or exerts effort in order to achieve, support, or contribute to another entity or outcome.
-
B.
languageOfPoliticalWork
chosen
Indicates the language in which a political work (such as a document, speech, or publication) is expressed or written.
-
C.
translatedWorkOf
Indicates that one work is a translation of another original work.
-
D.
usesWorkingLanguagesOf
Indicates that one entity employs or operates using the working languages associated with another entity.
-
E.
labourOf
Indicates that one entity is the work, effort, or labor performed or contributed by another entity.
- 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_69ca839cd6008190a1546a701a56710c |
completed | March 30, 2026, 2:07 p.m. |
| NER | Named-entity recognition | batch_69cc6748baa88190ac54e701dc4d6212 |
completed | April 1, 2026, 12:31 a.m. |
| PD | Predicate disambiguation | batch_69cc5ed74d288190b712d739805579dc |
completed | March 31, 2026, 11:55 p.m. |
Created at: March 30, 2026, 7 p.m.