Triple
T8440149
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | College of Arts and Sciences (Saint Louis University) |
E199329
|
entity |
| Predicate | emphasizesEducation |
P10834
|
FINISHED |
| Object | liberal education |
—
|
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: liberal education | Statement: [College of Arts and Sciences (Saint Louis University), emphasizesEducation, liberal education]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: emphasizesEducation Context triple: [College of Arts and Sciences (Saint Louis University), emphasizesEducation, liberal education]
-
A.
educationalImportance
Indicates the degree to which something is significant, valuable, or impactful in an educational or learning context.
-
B.
educationalFocus
Indicates the primary subject area or theme that an educational activity, program, or resource is centered on.
-
C.
educates
Indicates that one entity provides instruction, knowledge, or training to another entity.
-
D.
academicEmphasis
chosen
Indicates a focus or concentration of study or specialization within an academic program or curriculum.
-
E.
educationRight
Indicates that an entity holds a right or entitlement to receive education or educational opportunities.
- 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_69ca8314cd6c8190a6b8c2a1096e18f3 |
completed | March 30, 2026, 2:05 p.m. |
| NER | Named-entity recognition | batch_69cbe30fba4081908bfdef3faf5baceb |
completed | March 31, 2026, 3:06 p.m. |
| PD | Predicate disambiguation | batch_69cbd0f5a3648190beb53a139a2d5482 |
completed | March 31, 2026, 1:49 p.m. |
Created at: March 30, 2026, 6:08 p.m.