Triple
T13919795
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Great Basin College |
E334710
|
entity |
| Predicate | typeOfDegreesOffered |
P49
|
FINISHED |
| Object | associate degrees |
—
|
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: associate degrees | Statement: [Great Basin College, typeOfDegreesOffered, associate degrees]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: typeOfDegreesOffered Context triple: [Great Basin College, typeOfDegreesOffered, associate degrees]
-
A.
grantsDegreesFrom
Indicates that an institution has the authority to confer academic degrees originating from a specified source or program.
-
B.
offersDegree
chosen
Indicates that an institution or program provides a specific academic degree as an available qualification.
-
C.
hasUndergraduatePrograms
Indicates that an educational institution offers one or more undergraduate-level academic programs.
-
D.
grantsDegreeIn
Indicates that an institution or authority confers an academic degree in a specified field or discipline.
-
E.
isOfferedThrough
Indicates that something (such as a service, course, or product) is made available or provided via a particular channel, platform, or intermediary.
- 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_69d81c5f739081908bc05b2461f54828 |
completed | April 9, 2026, 9:38 p.m. |
| NER | Named-entity recognition | batch_69de2aa428ac819084e7c4b244d15f20 |
completed | April 14, 2026, 11:53 a.m. |
| PD | Predicate disambiguation | batch_69de059e4ba881908554f72e889719fa |
completed | April 14, 2026, 9:15 a.m. |
Created at: April 9, 2026, 10:16 p.m.