Triple
T17798721
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Western Military Academy |
E444361
|
entity |
| Predicate | typicalGraduatePath |
P112041
|
FINISHED |
| Object | 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: college | Statement: [Western Military Academy, typicalGraduatePath, college]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: typicalGraduatePath Context triple: [Western Military Academy, typicalGraduatePath, college]
-
A.
typicalApplicantBackground
Indicates that there is a commonly observed or standard set of characteristics or experiences that describe the usual background of an applicant for a given role or program.
-
B.
typicalDegreeLevels
Indicates the usual or commonly expected academic degree levels associated with a given entity or context.
-
C.
typicalStudentOutcome
chosen
Indicates the usual or expected result, achievement, or status that students generally attain under normal conditions.
-
D.
collegeCareerPeriod
Indicates the time span during which an individual is engaged in their college or university education and related academic activities.
-
E.
studCareerBegan
Indicates that a student's professional or academic career started at a specified time or 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_69d8b9efe370819095cd219b143ae727 |
completed | April 10, 2026, 8:50 a.m. |
| NER | Named-entity recognition | batch_69e487fcfdc8819086f41152860dfe18 |
completed | April 19, 2026, 7:45 a.m. |
| PD | Predicate disambiguation | batch_69e3d8de28688190844b65acf6af54e6 |
completed | April 18, 2026, 7:17 p.m. |
Created at: April 10, 2026, 10:13 a.m.