Triple
T9503907
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Midwestern Baptist Theological Seminary |
E229213
|
entity |
| Predicate | educationalType |
P177
|
FINISHED |
| Object | nonprofit |
—
|
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: nonprofit | Statement: [Midwestern Baptist Theological Seminary, educationalType, nonprofit]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: educationalType Context triple: [Midwestern Baptist Theological Seminary, educationalType, nonprofit]
-
A.
educationType
chosen
Indicates the specific category or level of education associated with an entity, such as formal, informal, primary, secondary, or higher education.
-
B.
curriculumType
Indicates the classification or category of curriculum associated with an educational program or course.
-
C.
educationalFocus
Indicates the primary subject area or theme that an educational activity, program, or resource is centered on.
-
D.
educationalModel
Indicates that one entity serves as an educational model, framework, or paradigm that guides or structures the teaching, learning, or training practices of another entity.
-
E.
educationalActivity
Indicates an action or relationship in which one entity engages in or provides a learning or teaching activity for another.
- 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_69ca847611c48190a28c028644198c75 |
completed | March 30, 2026, 2:11 p.m. |
| NER | Named-entity recognition | batch_69cd9840148081908df237f212b62e67 |
completed | April 1, 2026, 10:12 p.m. |
| PD | Predicate disambiguation | batch_69cca567ca448190bf4bcce8ce7dd54f |
completed | April 1, 2026, 4:56 a.m. |
Created at: March 30, 2026, 7:57 p.m.