Triple
T25578205
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Seven-county Twin Cities region |
E641168
|
entity |
| Predicate | includesMajorUniversity |
P315
|
FINISHED |
| Object | University of Minnesota Twin Cities |
—
|
NE NERFINISHED |
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: University of Minnesota Twin Cities | Statement: [Seven-county Twin Cities region, includesMajorUniversity, University of Minnesota Twin Cities]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: includesMajorUniversity Context triple: [Seven-county Twin Cities region, includesMajorUniversity, University of Minnesota Twin Cities]
-
A.
hasMajorUniversity
chosen
Indicates that a location or region contains at least one prominent, large, or academically significant university.
-
B.
isMajorCampusFor
Indicates that a particular campus serves as the primary or main campus for a given institution or organization.
-
C.
hasMajorEducationalInstitutions
Indicates that the subject possesses or hosts significant higher-level educational organizations or facilities, such as universities or major colleges.
-
D.
isMajorCampusArea
Indicates that a given area constitutes a primary or significant part of a campus.
-
E.
includesPublicUniversities
Indicates that the subject set or collection contains one or more public universities as members.
- 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_69e75dc281bc819095ec04dc0c3a94d0 |
completed | April 21, 2026, 11:21 a.m. |
| NER | Named-entity recognition | batch_69f7465687bc8190a9da44d62b634ed7 |
completed | May 3, 2026, 12:57 p.m. |
| PD | Predicate disambiguation | batch_69f743f4ceb08190a21fe7f4a99b166b |
completed | May 3, 2026, 12:47 p.m. |
Created at: April 21, 2026, 4:02 p.m.