Triple
T14672033
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Roman Catholic Diocese of Albany |
E344535
|
entity |
| Predicate | hasSeminaryFormationThrough |
P115281
|
FINISHED |
| Object | regional seminaries and programs |
—
|
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: regional seminaries and programs | Statement: [Roman Catholic Diocese of Albany, hasSeminaryFormationThrough, regional seminaries and programs]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasSeminaryFormationThrough Context triple: [Roman Catholic Diocese of Albany, hasSeminaryFormationThrough, regional seminaries and programs]
-
A.
hasMinorSeminary
Indicates that an entity operates, is associated with, or possesses a minor seminary as part of its organizational structure or activities.
-
B.
denominationalSeminaryFor
Indicates that a seminary is formally affiliated with and serves as a training institution for a particular religious denomination.
-
C.
seminaryName
Indicates the name assigned to a seminary institution.
-
D.
hasMajorSeminary
Indicates that an institution or entity possesses or is associated with a major seminary for advanced clerical or theological training.
-
E.
seminaryFounded
Indicates that a particular entity established or created a seminary.
- 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_69d822e283fc8190a0e4c235cf880052 |
completed | April 9, 2026, 10:06 p.m. |
| NER | Named-entity recognition | batch_69deb55064cc8190b9669d0b2da61825 |
completed | April 14, 2026, 9:44 p.m. |
| PD | Predicate disambiguation | batch_69de6576f0208190aa94d995e797ac38 |
completed | April 14, 2026, 4:04 p.m. |
| PDg | Predicate description generation | batch_69de716c17cc8190aeb85296abee85a7 |
completed | April 14, 2026, 4:55 p.m. |
Created at: April 10, 2026, 1:27 a.m.