Triple
T36702010
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Benedictine College |
E906253
|
entity |
| Predicate | hasStudentLifeModel |
P202094
|
FINISHED |
| Object | residential model |
—
|
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: residential model | Statement: [Benedictine College, hasStudentLifeModel, residential model]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasStudentLifeModel Context triple: [Benedictine College, hasStudentLifeModel, residential model]
-
A.
hasStudentBodyAt
Indicates that an educational institution has its student body located at or associated with a particular site or campus.
-
B.
studentModel
Indicates that one entity serves as a model or example for a student in the context of learning or education.
-
C.
hasStudentBodyFrom
Indicates that an educational institution draws or enrolls its student body from a specified geographic area, group, or source.
-
D.
hasStudentServices
Indicates that an entity provides or is associated with student support services for another entity or group.
-
E.
hasStudents
Indicates that an entity (such as a class, school, or teacher) is associated with one or more students.
- F. None of above. chosen
Provenance (4 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_69f76e7195c48190b5580c9cfb01e95f |
completed | May 3, 2026, 3:49 p.m. |
| NER | Named-entity recognition | batch_6a004fd3caf48190b2ec063a7bf0756b |
completed | May 10, 2026, 9:28 a.m. |
| PD | Predicate disambiguation | batch_6a004f7672dc8190aca91d1ed855bf9a |
completed | May 10, 2026, 9:27 a.m. |
| PDg | Predicate description generation | batch_6a004fd327788190a4c96160cb86d154 |
completed | May 10, 2026, 9:28 a.m. |
Created at: May 3, 2026, 4:12 p.m.