Triple
T11901079
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Mohawk Valley Community College |
E283149
|
entity |
| Predicate | offersFullTimeStudy |
P40336
|
FINISHED |
| Object | yes |
—
|
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: yes | Statement: [Mohawk Valley Community College, offersFullTimeStudy, yes]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: offersFullTimeStudy Context triple: [Mohawk Valley Community College, offersFullTimeStudy, yes]
-
A.
offersLevelOfStudy
Indicates that an institution or program provides a particular level or type of study (e.g., undergraduate, graduate, doctoral) as an available option.
-
B.
hasModeOfStudy
chosen
Indicates the method or format by which an entity (typically a learner) undertakes their studies, such as full-time, part-time, online, or in-person.
-
C.
offersStudyAbroad
Indicates that an institution or program provides opportunities for participants to study in a foreign country.
-
D.
offersFieldOfStudy
Indicates that an institution or program provides a particular field of study as an available area of academic focus.
-
E.
offersDegree
Indicates that an institution or program provides a specific academic degree as an available qualification.
- 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_69d6ab2a90b08190a4e818821cc93e6d |
completed | April 8, 2026, 7:23 p.m. |
| NER | Named-entity recognition | batch_69d8dd16433881909befca9774bdaab4 |
completed | April 10, 2026, 11:20 a.m. |
| PD | Predicate disambiguation | batch_69d8bb2fca4481909893f3428b0871ac |
completed | April 10, 2026, 8:56 a.m. |
Created at: April 8, 2026, 9:44 p.m.