Triple
T29603624
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Mount Angel Seminary |
E754516
|
entity |
| Predicate | isSeminaryFor |
P102152
|
FINISHED |
| Object | diocesan seminarians |
—
|
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: diocesan seminarians | Statement: [Mount Angel Seminary, isSeminaryFor, diocesan seminarians]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: isSeminaryFor Context triple: [Mount Angel Seminary, isSeminaryFor, diocesan seminarians]
-
A.
hasSeminaryFormationThrough
Indicates that one entity has received or undergone seminary training, education, or formation by means of, or via the involvement of, another entity.
-
B.
denominationalSeminaryFor
chosen
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.
isEcclesiasticalFacultyOf
Indicates that one entity is an ecclesiastical (church-authorized) faculty belonging to, or formally associated with, another entity such as a university or institution.
-
E.
haveOwnSeminaryArrangements
Indicates that an entity is responsible for organizing and managing its own seminary-related arrangements independently of others.
- 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_69f0ef84e5d08190a0df17f5930ceed3 |
completed | April 28, 2026, 5:33 p.m. |
| NER | Named-entity recognition | batch_69f66de5e2b88190bd2529cc77629609 |
completed | May 2, 2026, 9:34 p.m. |
| PD | Predicate disambiguation | batch_69f6659d36208190b01412600a4ed57d |
completed | May 2, 2026, 8:59 p.m. |
Created at: April 28, 2026, 6:23 p.m.