Triple
T22317967
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | College of Nursing and Health Sciences |
E551698
|
entity |
| Predicate | typicalCredentialAwarded |
P125484
|
FINISHED |
| Object | bachelor’s degree |
—
|
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’s degree | Statement: [College of Nursing and Health Sciences, typicalCredentialAwarded, bachelor’s degree]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: typicalCredentialAwarded Context triple: [College of Nursing and Health Sciences, typicalCredentialAwarded, bachelor’s degree]
-
A.
credentialAwarded
Indicates that a particular credential has been granted or conferred to an entity as a result of meeting specified requirements.
-
B.
credentialAwardedBy
Indicates that a particular credential is granted or conferred by a specific awarding organization or authority.
-
C.
typicalQualificationAwarded
chosen
Indicates the qualification that is most commonly or normally awarded as a result of completing a given program, course, or activity.
-
D.
mayBeAwardedWith
Indicates that an entity has the potential or eligibility to receive a particular award or distinction.
-
E.
typicalAwardedBy
Indicates the usual or standard agent (such as a person or organization) that confers or grants a particular award.
- 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_69e11e4776588190abb21e5cea79973f |
completed | April 16, 2026, 5:37 p.m. |
| NER | Named-entity recognition | batch_69f157543d688190a151fade71880131 |
completed | April 29, 2026, 12:56 a.m. |
| PD | Predicate disambiguation | batch_69e73004d9e88190bb862319a5aea06b |
completed | April 21, 2026, 8:06 a.m. |
Created at: April 16, 2026, 8:42 p.m.