Triple
T791032
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Culver Military Academy |
E16913
|
entity |
| Predicate | targetStudentOutcome |
P12786
|
FINISHED |
| Object | preparation for college |
—
|
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: preparation for college | Statement: [Culver Military Academy, targetStudentOutcome, preparation for college]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: targetStudentOutcome Context triple: [Culver Military Academy, targetStudentOutcome, preparation for college]
-
A.
targetStudentGroup
Indicates a relationship where something is directed, tailored, or intended specifically for a particular group of students.
-
B.
programOutcome
Indicates the resulting state, effect, or consequence produced by executing or completing a program.
-
C.
educationalObjective
chosen
Indicates the intended learning goal, skill, or competency that an educational resource, activity, or program is designed to achieve.
-
D.
educationalImpact
Indicates the effect or influence that one entity has on the learning, knowledge, or educational outcomes of another.
-
E.
educatedBranch
Indicates that one entity received education or academic training at, or through, a particular branch, campus, or subdivision of an 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_69a4936cb7448190914f5fe4b8d81607 |
completed | March 1, 2026, 7:28 p.m. |
| NER | Named-entity recognition | batch_69a4a79754988190ab494b1c54d6a2a4 |
completed | March 1, 2026, 8:54 p.m. |
| PD | Predicate disambiguation | batch_69a4a50ef72c819084ffe9f31dbd0262 |
completed | March 1, 2026, 8:43 p.m. |
Created at: March 1, 2026, 7:38 p.m.