Triple
T7607003
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Austin College |
E180131
|
entity |
| Predicate | studentFacultyInteractionStyle |
P14093
|
FINISHED |
| Object | small classes |
—
|
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: small classes | Statement: [Austin College, studentFacultyInteractionStyle, small classes]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: studentFacultyInteractionStyle Context triple: [Austin College, studentFacultyInteractionStyle, small classes]
-
A.
facultyStudentInteraction
chosen
Indicates interactions, communications, or engagements that occur between faculty members and students.
-
B.
sharesFacultyWith
Indicates that two academic institutions or departments have at least one faculty member in common or on staff at both.
-
C.
usedByFaculty
Indicates that something is utilized or employed by faculty members in carrying out their roles or activities.
-
D.
studentFacultyRatio
Indicates the numerical relationship between the number of students and the number of faculty members in an institution.
-
E.
relationshipToUniversity
Indicates the type or nature of a person's or entity's connection or affiliation with a specific university.
- 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_69c69f3567008190ab01d2ca7b53584a |
completed | March 27, 2026, 3:16 p.m. |
| NER | Named-entity recognition | batch_69c6f9fe10408190b1c12bb8f911cea8 |
completed | March 27, 2026, 9:43 p.m. |
| PD | Predicate disambiguation | batch_69c6f4e485f88190910b39da52a955fe |
completed | March 27, 2026, 9:21 p.m. |
Created at: March 27, 2026, 3:54 p.m.