Triple
T682244
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Durham Technical Community College |
E13206
|
entity |
| Predicate | tuitionCategory |
P2737
|
FINISHED |
| Object | in-state tuition for North Carolina residents |
—
|
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: in-state tuition for North Carolina residents | Statement: [Durham Technical Community College, tuitionCategory, in-state tuition for North Carolina residents]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: tuitionCategory Context triple: [Durham Technical Community College, tuitionCategory, in-state tuition for North Carolina residents]
-
A.
tuitionFeeType
chosen
Indicates the category or structure of tuition fees that applies to an entity (such as full-time, part-time, in-state, out-of-state, or other fee types).
-
B.
tuitionPolicy
Indicates the rules or guidelines governing how tuition is determined, charged, or managed for an educational program or institution.
-
C.
scholarshipType
Indicates the specific category or kind of scholarship associated with an entity.
-
D.
courseType
Indicates the classification or category of a course based on its nature, level, or instructional format.
-
E.
educationType
Indicates the specific category or level of education associated with an entity, such as formal, informal, primary, secondary, or higher education.
- 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_69a4933e0f98819097d22766c49b61b8 |
completed | March 1, 2026, 7:27 p.m. |
| NER | Named-entity recognition | batch_69a4a06f9ee88190a2d757aacd8e3f5b |
completed | March 1, 2026, 8:24 p.m. |
| PD | Predicate disambiguation | batch_69a49d1f0ccc819088c1527beabcb718 |
completed | March 1, 2026, 8:10 p.m. |
Created at: March 1, 2026, 7:36 p.m.