Triple
T4589505
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Saint Augustine’s University |
E103447
|
entity |
| Predicate | targetStudentsAtFounding |
P11007
|
FINISHED |
| Object | freedmen |
—
|
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: freedmen | Statement: [Saint Augustine’s University, targetStudentsAtFounding, freedmen]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: targetStudentsAtFounding Context triple: [Saint Augustine’s University, targetStudentsAtFounding, freedmen]
-
A.
targetStudentGroup
chosen
Indicates a relationship where something is directed, tailored, or intended specifically for a particular group of students.
-
B.
hasStudents
Indicates that an entity (such as a class, school, or teacher) is associated with one or more students.
-
C.
ownerAtFounding
Indicates that an entity is the owner of another entity at the time the latter is founded or established.
-
D.
foundedWithInstitution
Indicates that an entity was established or created in conjunction with, or through the involvement of, a particular institution.
-
E.
foundedByAlumnusOf
Indicates that an entity (such as an organization or company) was founded by a person who is an alumnus of a specified educational institution.
- 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_69bd43dccaf08190aa89e9991a289719 |
completed | March 20, 2026, 12:55 p.m. |
| NER | Named-entity recognition | batch_69bd592232888190af33c47636ca835d |
completed | March 20, 2026, 2:26 p.m. |
| PD | Predicate disambiguation | batch_69bd522acbcc8190bf24d9517793a2c1 |
completed | March 20, 2026, 1:56 p.m. |
Created at: March 20, 2026, 1:11 p.m.