Triple
T38407921
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | TSU College of Education |
E901387
|
entity |
| Predicate | preparesForProfession |
P154912
|
FINISHED |
| Object | teachers |
—
|
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: teachers | Statement: [TSU College of Education, preparesForProfession, teachers]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: preparesForProfession Context triple: [TSU College of Education, preparesForProfession, teachers]
-
A.
professionPreparedFor
chosen
Indicates that an entity has been trained or equipped to perform a particular profession or occupational role.
-
B.
preparesGraduatesFor
Indicates that one entity equips or trains graduates with the knowledge, skills, or qualifications needed to succeed in another specified context, role, or activity.
-
C.
studCareerBegan
Indicates that a student's professional or academic career started at a specified time or institution.
-
D.
preparesFor
Indicates that one entity is used, designed, or undertaken in order to get another entity ready for a future event, state, or activity.
-
E.
professionalPathwayFor
Indicates that one entity serves as a professional development route, track, or sequence leading toward a particular career or occupational role for another entity.
- 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_69f76e61e79c81908b787d83b46ab92b |
completed | May 3, 2026, 3:48 p.m. |
| NER | Named-entity recognition | batch_69fcd313e61c8190b174b331365b803f |
completed | May 7, 2026, 5:59 p.m. |
| PD | Predicate disambiguation | batch_69fcd1f6b2e08190bf0300ae7c9ae67a |
completed | May 7, 2026, 5:55 p.m. |
Created at: May 3, 2026, 4:31 p.m.