Triple
T1265435
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Ripon, Wisconsin |
E12589
|
entity |
| Predicate | RiponCollegeType |
P303
|
FINISHED |
| Object | private liberal arts college |
—
|
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: private liberal arts college | Statement: [Ripon, Wisconsin, RiponCollegeType, private liberal arts college]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: RiponCollegeType Context triple: [Ripon, Wisconsin, RiponCollegeType, private liberal arts college]
-
A.
campusType
Indicates the classification or category of a campus based on its type (e.g., main, satellite, urban, rural).
-
B.
traditionalInstitution
Indicates that an entity is a long-established, customary organization or system that embodies and maintains traditional practices or norms.
-
C.
typeOfInstitution
chosen
Indicates the specific kind or category of institution that an entity belongs to or is classified as.
-
D.
sisterCollege
Indicates a formal partnership or affiliation between two colleges, typically for mutual support, exchange, or shared programs.
-
E.
cultType
Indicates the specific kind or category of cult associated with an entity, such as its religious, ideological, or functional type.
- 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_69a4933352e08190ac617291985e76c0 |
completed | March 1, 2026, 7:27 p.m. |
| NER | Named-entity recognition | batch_69a4c036deb881909b234894347c75c6 |
completed | March 1, 2026, 10:39 p.m. |
| PD | Predicate disambiguation | batch_69a4bb7058e88190825b0cba5ee60b51 |
completed | March 1, 2026, 10:19 p.m. |
Created at: March 1, 2026, 7:50 p.m.