Triple
T14970650
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Associated Colleges of the Twin Cities |
E373306
|
entity |
| Predicate | hasStudentBenefit |
P2188
|
FINISHED |
| Object | access to courses at other member 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: access to courses at other member colleges | Statement: [Associated Colleges of the Twin Cities, hasStudentBenefit, access to courses at other member colleges]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasStudentBenefit Context triple: [Associated Colleges of the Twin Cities, hasStudentBenefit, access to courses at other member colleges]
-
A.
hasBenefit
chosen
Indicates that one entity provides an advantage, improvement, or positive outcome to another entity.
-
B.
hasStudentMembership
Indicates that an entity holds or is associated with a membership specifically designated for students.
-
C.
hasBenefitType
Indicates that an entity is associated with a specific category or type of benefit it provides or receives.
-
D.
hasStudentServices
Indicates that an entity provides or is associated with student support services for another entity or group.
-
E.
hasStudentCategory
Indicates that an entity is classified under a specific category or type of student.
- 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_69d85ccbbcd48190acb56e7cf104d8ad |
completed | April 10, 2026, 2:13 a.m. |
| NER | Named-entity recognition | batch_69ded6e59a7c8190a1634a706ea68fda |
completed | April 15, 2026, 12:08 a.m. |
| PD | Predicate disambiguation | batch_69de9a5d995881909e33658f5aea5582 |
completed | April 14, 2026, 7:49 p.m. |
Created at: April 10, 2026, 2:49 a.m.