Triple
T947685
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Aquinas College |
E20449
|
entity |
| Predicate | academicCharacter |
P10834
|
FINISHED |
| Object | liberal arts |
—
|
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 | Statement: [Aquinas College, academicCharacter, liberal arts]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: academicCharacter Context triple: [Aquinas College, academicCharacter, liberal arts]
-
A.
academicType
Indicates the specific academic category or classification associated with an entity (such as a work, program, or role).
-
B.
academicProfile
Indicates the relationship that captures an entity’s academic background, qualifications, and scholarly activities or achievements.
-
C.
academicEmphasis
chosen
Indicates a focus or concentration of study or specialization within an academic program or curriculum.
-
D.
academicAdvisor
Indicates that one entity serves as the academic advisor, providing formal guidance and oversight on academic matters, to another entity.
-
E.
academicContext
Indicates the educational or scholarly setting, framework, or circumstances within which an activity, relationship, or piece of information takes place.
- 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_69a493b0f2fc81908cd227480a5356a1 |
completed | March 1, 2026, 7:29 p.m. |
| NER | Named-entity recognition | batch_69a4b3be19448190a8863fce3d152430 |
completed | March 1, 2026, 9:46 p.m. |
| PD | Predicate disambiguation | batch_69a4b29f05f481908814bd11f235e9d0 |
completed | March 1, 2026, 9:41 p.m. |
Created at: March 1, 2026, 7:40 p.m.