Triple
T5244304
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | College of Engineering (Drexel University) |
E118419
|
entity |
| Predicate | servesStudentType |
P29232
|
FINISHED |
| Object | undergraduate students |
—
|
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 students | Statement: [College of Engineering (Drexel University), servesStudentType, undergraduate students]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: servesStudentType Context triple: [College of Engineering (Drexel University), servesStudentType, undergraduate students]
-
A.
hasStudentServices
Indicates that an entity provides or is associated with student support services for another entity or group.
-
B.
servesGradeLevels
Indicates that an entity (such as a school or program) provides services or instruction to students in the specified grade levels.
-
C.
servesType
Indicates that one entity provides, offers, or is used to deliver a particular type, category, or kind of thing or service.
-
D.
hasStudentCategory
chosen
Indicates that an entity is classified under a specific category or type of student.
-
E.
hasStudents
Indicates that an entity (such as a class, school, or teacher) is associated with one or more students.
- 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_69bd4468aacc8190a8196f71855cdf4f |
completed | March 20, 2026, 12:58 p.m. |
| NER | Named-entity recognition | batch_69bd7b4fa0ec8190bce3da09aa768726 |
completed | March 20, 2026, 4:52 p.m. |
| PD | Predicate disambiguation | batch_69bd77c1397c8190a7fd844d7a396e54 |
completed | March 20, 2026, 4:37 p.m. |
Created at: March 20, 2026, 1:49 p.m.