Triple
T36581415
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Святослав Шевчук |
E902404
|
entity |
| Predicate | кафедра |
P90264
|
FINISHED |
| Object | Києво-Галицький верховний архієпископський престол |
—
|
NE NERFINISHED |
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: Києво-Галицький верховний архієпископський престол | Statement: [Святослав Шевчук, кафедра, Києво-Галицький верховний архієпископський престол]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: кафедра Context triple: [Святослав Шевчук, кафедра, Києво-Галицький верховний архієпископський престол]
-
A.
publicUniversityFaculty
Indicates that a person is a member of the faculty (e.g., professor, lecturer, instructor) at a public university.
-
B.
publicUniversityFacultyOf
Indicates that a person serves as a faculty member at a public (state-funded) university.
-
C.
academicChair
chosen
Indicates that one entity serves as the academic chair (leader or head) of a department, program, or academic unit associated with the other entity.
-
D.
locatedInFaculty
Indicates that an entity (such as a department, office, or program) is situated within or belongs administratively to a specific faculty.
-
E.
isFacultyMemberOf
Indicates that a person serves as a faculty member (e.g., professor, lecturer, or instructor) within a particular institution or organizational unit.
- 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_69f76e64d8908190868473959a250b94 |
completed | May 3, 2026, 3:48 p.m. |
| NER | Named-entity recognition | batch_69f7c371931c8190afb1d4dd5157f92c |
completed | May 3, 2026, 9:51 p.m. |
| PD | Predicate disambiguation | batch_69f7c1baf25c8190a78dd54a400d2c50 |
completed | May 3, 2026, 9:44 p.m. |
Created at: May 3, 2026, 4:11 p.m.