Triple
T3930511
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | College of Arts and Sciences |
E93381
|
entity |
| Predicate | typicalAwardedDegree |
P48121
|
FINISHED |
| Object | Bachelor of 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: Bachelor of Arts | Statement: [College of Arts and Sciences, typicalAwardedDegree, Bachelor of Arts]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: typicalAwardedDegree Context triple: [College of Arts and Sciences, typicalAwardedDegree, Bachelor of Arts]
-
A.
typicalDegreeName
chosen
Indicates the standard or commonly used academic degree title associated with an educational program or qualification.
-
B.
degreeGrantedBy
Indicates that a specific academic degree was officially conferred by a particular granting institution.
-
C.
typicalDegree
Indicates the usual or characteristic level, intensity, or extent to which something holds or applies in a given context.
-
D.
academicDegree
Indicates that an entity holds or has been awarded a specific academic degree.
-
E.
grantsDegreesFrom
Indicates that an institution has the authority to confer academic degrees originating from a specified source or program.
- 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_69aed96bfa1081908f7b30f2c647dee6 |
completed | March 9, 2026, 2:30 p.m. |
| NER | Named-entity recognition | batch_69aeeda7cf3c81909df30744bddbad7e |
completed | March 9, 2026, 3:56 p.m. |
| PD | Predicate disambiguation | batch_69aee7609c4081908000ce12ae827c3f |
completed | March 9, 2026, 3:29 p.m. |
Created at: March 9, 2026, 3:23 p.m.