Triple
T20796939
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Poltava Theological Seminary |
E511936
|
entity |
| Predicate | notableStudentOccupation |
P141572
|
FINISHED |
| Object | priest |
—
|
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: priest | Statement: [Poltava Theological Seminary, notableStudentOccupation, priest]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: notableStudentOccupation Context triple: [Poltava Theological Seminary, notableStudentOccupation, priest]
-
A.
notableStudent
Indicates that a person is a distinguished or particularly significant student of another individual or institution.
-
B.
notableAlumnaOccupation
Indicates that the occupation specified is the professional role or career for a person who is a notable alumna of a particular institution.
-
C.
notableOccupationContext
Indicates that the referenced occupation is notable or significant specifically within the given contextual framework or domain.
-
D.
notableStudentOrColleague
Indicates that one entity is a notable student or professional colleague of another entity.
-
E.
notableHolderOccupation
Indicates that a person notably associated with an entity (e.g., an award, office, or title) held a particular occupation or professional role.
- 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_69e0b4cc69f481908e98751e697b9df4 |
completed | April 16, 2026, 10:07 a.m. |
| NER | Named-entity recognition | batch_69e6c2ad6f0481909e0bab7119f10f9c |
completed | April 21, 2026, 12:19 a.m. |
| PD | Predicate disambiguation | batch_69e5c0575b1c81908d010223fcd1213e |
completed | April 20, 2026, 5:57 a.m. |
| PDg | Predicate description generation | batch_69e5c3cbe5788190b7ace43bfdac2ef6 |
completed | April 20, 2026, 6:12 a.m. |
Created at: April 16, 2026, 12:39 p.m.