Triple
T4629476
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Christendom College |
E101176
|
entity |
| Predicate | curriculumCharacteristic |
P42298
|
FINISHED |
| Object | core 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: core liberal arts curriculum | Statement: [Christendom College, curriculumCharacteristic, core liberal arts curriculum]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: curriculumCharacteristic Context triple: [Christendom College, curriculumCharacteristic, core liberal arts curriculum]
-
A.
educationSystemCharacteristic
Indicates a characteristic, feature, or attribute that describes an education system.
-
B.
courseSetupCharacteristic
Indicates a defining setup-related property or configuration aspect associated with a course.
-
C.
usesCurriculum
Indicates that one entity adopts or applies a particular curriculum as the basis for its instruction, training, or educational activities.
-
D.
curriculumControlLevel
Indicates the degree to which an entity has authority or influence over the design, content, or implementation of a curriculum.
-
E.
universityCharacteristic
chosen
Indicates that a specified characteristic, quality, or attribute is associated with a particular university.
- 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_69bd43d0497c8190ac23c65c5804846a |
completed | March 20, 2026, 12:55 p.m. |
| NER | Named-entity recognition | batch_69bd5a316ef48190831970ec914cf5a2 |
completed | March 20, 2026, 2:31 p.m. |
| PD | Predicate disambiguation | batch_69bd5233cb5081908807e2b150f0ca06 |
completed | March 20, 2026, 1:57 p.m. |
Created at: March 20, 2026, 1:13 p.m.