Triple
T31915625
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | College of Social Sciences and Professional Studies |
E814819
|
entity |
| Predicate | grantsDegreeLevel |
P180358
|
FINISHED |
| Object | undergraduate |
—
|
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: undergraduate | Statement: [College of Social Sciences and Professional Studies, grantsDegreeLevel, undergraduate]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: grantsDegreeLevel Context triple: [College of Social Sciences and Professional Studies, grantsDegreeLevel, undergraduate]
-
A.
grantedDegreesTo
Indicates that one entity has officially conferred academic degrees upon another entity.
-
B.
grantsDegreeIn
Indicates that an institution or authority confers an academic degree in a specified field or discipline.
-
C.
eligibleDegree
Indicates that an academic degree qualifies its holder to be considered eligible for a particular program, position, or requirement.
-
D.
haveDegree
Indicates that an entity possesses or has obtained a specific academic or professional degree.
-
E.
grantsDegreeThrough
Indicates that an institution confers a degree to an individual by means of a specified program, process, or pathway.
- F. None of above. chosen
Provenance (4 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_69f348f109d88190b5005372c53d2fcd |
completed | April 30, 2026, 12:20 p.m. |
| NER | Named-entity recognition | batch_69f73ae120bc8190bff94d38d7a7a00d |
completed | May 3, 2026, 12:09 p.m. |
| PD | Predicate disambiguation | batch_69f73a38d0848190aa5139144b8561c6 |
completed | May 3, 2026, 12:06 p.m. |
| PDg | Predicate description generation | batch_69f73adfd9a081908adae6bd59dfefb9 |
completed | May 3, 2026, 12:09 p.m. |
Created at: May 1, 2026, 12:02 a.m.