Triple
T2832125
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Northfield, Minnesota |
E62262
|
entity |
| Predicate | collegeType |
P30500
|
FINISHED |
| Object | liberal arts colleges |
—
|
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: liberal arts colleges | Statement: [Northfield, Minnesota, collegeType, liberal arts colleges]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: collegeType Context triple: [Northfield, Minnesota, collegeType, liberal arts colleges]
-
A.
publicUniversityType
Indicates that an institution is classified as a public university, typically funded and operated by government or state authorities.
-
B.
campusType
Indicates the classification or category of a campus based on its type (e.g., main, satellite, urban, rural).
-
C.
college
Indicates that an entity is a college-level educational institution attended by or associated with another entity.
-
D.
hasCollegeType
chosen
Indicates that a college or educational institution is classified as having a specific type or category (e.g., public, private, community, technical).
-
E.
stateUniversity
Indicates that an institution is a university that is publicly funded and operated under the authority of a state or similar governmental entity.
- 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_69ab4c3c39188190955b9c49d98463d8 |
completed | March 6, 2026, 9:50 p.m. |
| NER | Named-entity recognition | batch_69abdebe95188190bf65fb4cd88e2ec5 |
completed | March 7, 2026, 8:15 a.m. |
| PD | Predicate disambiguation | batch_69abdd0acab881909e8c25cbef83678c |
completed | March 7, 2026, 8:08 a.m. |
Created at: March 6, 2026, 10:01 p.m.