Triple
T32549186
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Loyola Wolf Pack athletic teams |
E831928
|
entity |
| Predicate | campusTypeOfInstitution |
P90781
|
FINISHED |
| Object | private 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: private university | Statement: [Loyola Wolf Pack athletic teams, campusTypeOfInstitution, private university]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: campusTypeOfInstitution Context triple: [Loyola Wolf Pack athletic teams, campusTypeOfInstitution, private university]
-
A.
campusType
Indicates the classification or category of a campus based on its type (e.g., main, satellite, urban, rural).
-
B.
campusOfUniversityType
Indicates that a campus belongs to, is part of, or is categorized under a particular type of university.
-
C.
typeOfInstitution
Indicates the specific kind or category of institution that an entity belongs to or is classified as.
-
D.
typeOfUniversity
chosen
Indicates the specific category or classification of a university (e.g., public, private, technical, etc.) that an institution belongs to.
-
E.
academicInstitutionType
Indicates the specific category or kind of academic institution an entity is classified as (e.g., university, college, high school).
- 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_69f34925fd08819084cfe4ec566cb704 |
completed | April 30, 2026, 12:20 p.m. |
| NER | Named-entity recognition | batch_69f6c5c3636c81908cb7b9418c47dbf0 |
completed | May 3, 2026, 3:49 a.m. |
| PD | Predicate disambiguation | batch_69f6bd2a14b081908162923dfbf0a6f4 |
completed | May 3, 2026, 3:12 a.m. |
Created at: May 1, 2026, 1:02 a.m.