Triple
T24244339
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | College of Arts and Sciences (Trinity Washington University) |
E603319
|
entity |
| Predicate | offersCurriculumType |
P19492
|
FINISHED |
| Object | broad 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: broad curriculum | Statement: [College of Arts and Sciences (Trinity Washington University), offersCurriculumType, broad curriculum]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: offersCurriculumType Context triple: [College of Arts and Sciences (Trinity Washington University), offersCurriculumType, broad curriculum]
-
A.
offersCurriculum
chosen
Indicates that one entity provides or makes available a specific curriculum to another entity.
-
B.
offersCourseType
Indicates that an entity provides or makes available a course of a specified type.
-
C.
curriculumType
Indicates the classification or category of curriculum associated with an educational program or course.
-
D.
offersEducationIn
Indicates that an entity provides or delivers educational programs, courses, or instruction in a specified field, subject, or area.
-
E.
offersEducationTo
Indicates that one entity provides educational services, instruction, or learning opportunities to another entity.
- 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_69e2953f631c819097cbb421046bd417 |
completed | April 17, 2026, 8:17 p.m. |
| NER | Named-entity recognition | batch_69f28b82e13c819083ca524e47ed66b1 |
completed | April 29, 2026, 10:51 p.m. |
| PD | Predicate disambiguation | batch_69f1c448abec8190b87cbf9ed419a309 |
completed | April 29, 2026, 8:41 a.m. |
Created at: April 18, 2026, 12:04 a.m.