Triple
T11737150
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | College of Education (California State University, Dominguez Hills) |
E279058
|
entity |
| Predicate | preparesForOccupation |
P2534
|
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: [College of Education (California State University, Dominguez Hills), preparesForOccupation, teachers]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: preparesForOccupation Context triple: [College of Education (California State University, Dominguez Hills), preparesForOccupation, teachers]
-
A.
preparesFor
chosen
Indicates that one entity is used, designed, or undertaken in order to get another entity ready for a future event, state, or activity.
-
B.
preparedFor
Indicates that one entity has been made ready, equipped, or arranged in anticipation of use by or in connection with another entity.
-
C.
preparedAt
Indicates the time or place at which something was prepared or made ready.
-
D.
preparesForRank
Indicates that one entity is used, undertaken, or designed to help another entity achieve or qualify for a particular rank or level.
-
E.
preparesWith
Indicates that one entity is used as a means, tool, or method by which another entity is prepared or made ready.
- 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_69d6aaffec6881908bead509e8621742 |
completed | April 8, 2026, 7:22 p.m. |
| NER | Named-entity recognition | batch_69d8a4ef1c4881909ad36dc27b1fe193 |
completed | April 10, 2026, 7:21 a.m. |
| PD | Predicate disambiguation | batch_69d88a7f51248190bf492bd7509b5413 |
completed | April 10, 2026, 5:28 a.m. |
Created at: April 8, 2026, 9:41 p.m.