Triple
T4368180
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Shimer College |
E98828
|
entity |
| Predicate | curriculumStructure |
P32146
|
FINISHED |
| Object | core curriculum based on Great Books |
—
|
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 curriculum based on Great Books | Statement: [Shimer College, curriculumStructure, core curriculum based on Great Books]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: curriculumStructure Context triple: [Shimer College, curriculumStructure, core curriculum based on Great Books]
-
A.
courseStructure
Indicates how a course is organized into its constituent parts, such as modules, units, lessons, and their sequencing or hierarchy.
-
B.
programStructure
chosen
Indicates how components, modules, or elements are organized and related within a program or system.
-
C.
courseShape
Indicates the geometric layout or configuration that defines the path or outline of a course.
-
D.
offersCurriculum
Indicates that one entity provides or makes available a specific curriculum to another entity.
-
E.
academicStructure
Indicates a hierarchical or organizational relationship within an academic system, such as how programs, departments, courses, or degrees are structured and related to one 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_69b3454db3708190aeafd814413c4c3d |
completed | March 12, 2026, 10:59 p.m. |
| NER | Named-entity recognition | batch_69b352034d3881909ed4b2f9eef5e823 |
completed | March 12, 2026, 11:53 p.m. |
| PD | Predicate disambiguation | batch_69b34f53e3cc8190bf5d4dbe2413bf65 |
completed | March 12, 2026, 11:42 p.m. |
Created at: March 12, 2026, 11:17 p.m.