Triple
T8960865
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Феодосій Григорович Добжанський |
E213998
|
entity |
| Predicate | науковаШкола |
P85894
|
FINISHED |
| Object | сучасний еволюційний синтез |
—
|
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: сучасний еволюційний синтез | Statement: [Феодосій Григорович Добжанський, науковаШкола, сучасний еволюційний синтез]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: науковаШкола Context triple: [Феодосій Григорович Добжанський, науковаШкола, сучасний еволюційний синтез]
-
A.
publicSchool
Indicates that an educational institution is operated and funded by a government or public authority rather than by private entities.
-
B.
school
Indicates that an entity attends, is enrolled in, or is institutionally associated as a student with a particular school.
-
C.
hasScience
Indicates that an entity possesses, includes, or is associated with a particular scientific discipline, content, or attribute.
-
D.
educationFacility
Indicates that one entity functions as an institution or place where the other entity receives or provides education or training.
-
E.
partnerSchool
Indicates a formal collaborative relationship between two educational institutions, typically involving shared programs, resources, or exchange activities.
- F. None of above. chosen
Provenance (4 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. |
| PDg | Predicate description generation | batch_69cc5f887108819096d45a186fc137b3 |
completed | March 31, 2026, 11:58 p.m. |
Created at: March 30, 2026, 7 p.m.