Triple
T19661545
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | UNC School of Government |
E472092
|
entity |
| Predicate | programModality |
P97216
|
FINISHED |
| Object | on-campus MPA program |
—
|
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: on-campus MPA program | Statement: [UNC School of Government, programModality, on-campus MPA program]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: programModality Context triple: [UNC School of Government, programModality, on-campus MPA program]
-
A.
usesModality
Indicates that an action, communication, or process is carried out through or characterized by a particular modality (such as visual, auditory, tactile, or another mode of expression or operation).
-
B.
modalityOf
Indicates that one element specifies the manner, mood, or mode in which the action, event, or state expressed by another element is realized or presented.
-
C.
programFeature
Indicates that a particular feature, capability, or component is part of, supported by, or provided within a given program.
-
D.
trainingModality
chosen
Indicates the method or format through which training or instruction is delivered or conducted.
-
E.
programType
Indicates the category or kind of program to which an entity belongs or with which it is associated.
- 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_69d8e51395348190ac1416d46dfc6db0 |
completed | April 10, 2026, 11:54 a.m. |
| NER | Named-entity recognition | batch_69e6414a667c81909aad04a737773c7e |
completed | April 20, 2026, 3:07 p.m. |
| PD | Predicate disambiguation | batch_69e514e941008190898d978d7bde91e4 |
completed | April 19, 2026, 5:46 p.m. |
Created at: April 10, 2026, 1:45 p.m.