Triple
T23654322
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | School of Humanities and Social Sciences |
E584251
|
entity |
| Predicate | typicalDegreeOffered |
P49
|
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: [School of Humanities and Social Sciences, typicalDegreeOffered, bachelor's degree]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: typicalDegreeOffered Context triple: [School of Humanities and Social Sciences, typicalDegreeOffered, bachelor's degree]
-
A.
typicalDegreeName
Indicates the standard or commonly used academic degree title associated with an educational program or qualification.
-
B.
typicalDegree
Indicates the usual or characteristic level, intensity, or extent to which something holds or applies in a given context.
-
C.
offersDegree
chosen
Indicates that an institution or program provides a specific academic degree as an available qualification.
-
D.
grantsDegreesFrom
Indicates that an institution has the authority to confer academic degrees originating from a specified source or program.
-
E.
typicalCourse
Indicates that one entity is a standard or commonly taken course associated with another entity, such as a program, curriculum, or field of study.
- 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_69e248ffc0888190ae23c4731eb8b7ac |
completed | April 17, 2026, 2:51 p.m. |
| NER | Named-entity recognition | batch_69f1b35a513c8190a251fe2f55b23d7c |
completed | April 29, 2026, 7:29 a.m. |
| PD | Predicate disambiguation | batch_69f118d7903c8190bb590a71771e93af |
completed | April 28, 2026, 8:30 p.m. |
Created at: April 17, 2026, 6:49 p.m.