Triple
T33538044
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Faculty of Arts and Science (Bishop's University) |
E858991
|
entity |
| Predicate | academicOfferingType |
P69363
|
FINISHED |
| Object | major programs |
—
|
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: major programs | Statement: [Faculty of Arts and Science (Bishop's University), academicOfferingType, major programs]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: academicOfferingType Context triple: [Faculty of Arts and Science (Bishop's University), academicOfferingType, major programs]
-
A.
academicType
Indicates the specific academic category or classification associated with an entity (such as a work, program, or role).
-
B.
academicInstitutionType
Indicates the specific category or kind of academic institution an entity is classified as (e.g., university, college, high school).
-
C.
courseType
Indicates the classification or category of a course based on its nature, level, or instructional format.
-
D.
programOffered
chosen
Indicates that a particular program is made available or provided by a given entity (such as an institution, organization, or provider).
-
E.
academicYearType
Indicates the classification of an academic year according to its structural or administrative type (e.g., semester-based, quarter-based, fiscal year, etc.).
- 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_69f34978caf4819083f90eba4944d8e8 |
completed | April 30, 2026, 12:22 p.m. |
| NER | Named-entity recognition | batch_69f6fb19063c81909466b329655c8583 |
completed | May 3, 2026, 7:36 a.m. |
| PD | Predicate disambiguation | batch_69f6f96badb08190994442c2aba840b1 |
completed | May 3, 2026, 7:29 a.m. |
Created at: May 1, 2026, 1:39 a.m.