Triple
T55234
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | College of Liberal Arts (Oregon State University) |
E1090
|
entity |
| Predicate | parentInstitutionType |
P303
|
FINISHED |
| Object | public research university |
—
|
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: public research university | Statement: [College of Liberal Arts (Oregon State University), parentInstitutionType, public research university]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: parentInstitutionType Context triple: [College of Liberal Arts (Oregon State University), parentInstitutionType, public research university]
-
A.
typeOfInstitution
chosen
Indicates the specific kind or category of institution that an entity belongs to or is classified as.
-
B.
associatedInstitution
Indicates that an entity has a formal connection or affiliation with a particular institution.
-
C.
establishedInstitution
Indicates that an entity founded, created, or formally set up an institution or organization.
-
D.
associatedWithInstitution
Indicates that an entity has a formal or recognized connection or affiliation with an institution.
-
E.
hostsInstitution
Indicates that one entity serves as the hosting location or organizing body for an institution.
- 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_69a248adc5b48190aa8db9fb092fb28a |
completed | Feb. 28, 2026, 1:45 a.m. |
| NER | Named-entity recognition | batch_69a24b3a9e848190b80de3c858678b3a |
completed | Feb. 28, 2026, 1:56 a.m. |
| PD | Predicate disambiguation | batch_69a24ac52fb08190aa7c38f83434f795 |
completed | Feb. 28, 2026, 1:54 a.m. |
Created at: Feb. 28, 2026, 1:50 a.m.