Triple
T14667339
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Mount St. Mary’s College |
E344412
|
entity |
| Predicate | followsCurriculumModel |
P10895
|
FINISHED |
| Object | liberal arts curriculum |
—
|
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 arts curriculum | Statement: [Mount St. Mary’s College, followsCurriculumModel, liberal arts curriculum]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: followsCurriculumModel Context triple: [Mount St. Mary’s College, followsCurriculumModel, liberal arts curriculum]
-
A.
followsCourse
Indicates that one entity (typically a person or student) is enrolled in and actively attending or studying a particular course.
-
B.
usesCurriculum
chosen
Indicates that one entity adopts or applies a particular curriculum as the basis for its instruction, training, or educational activities.
-
C.
curriculumType
Indicates the classification or category of curriculum associated with an educational program or course.
-
D.
hasCurriculumScope
Indicates that a curriculum or educational program applies to, or is defined within, a particular scope or context (such as grade level, subject area, or institution).
-
E.
hasCurriculumGoal
Indicates that an educational curriculum includes or is associated with a specific intended learning goal or objective.
- 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_69d822e283fc8190a0e4c235cf880052 |
completed | April 9, 2026, 10:06 p.m. |
| NER | Named-entity recognition | batch_69deb54dda1c8190bf16d17e26a2bba6 |
completed | April 14, 2026, 9:44 p.m. |
| PD | Predicate disambiguation | batch_69de6576f0208190aa94d995e797ac38 |
completed | April 14, 2026, 4:04 p.m. |
Created at: April 10, 2026, 1:27 a.m.