Triple
T773806
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | California State University Desert Studies Center |
E16341
|
entity |
| Predicate | supportsLevelOfStudy |
P19022
|
FINISHED |
| Object | undergraduate |
—
|
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: undergraduate | Statement: [California State University Desert Studies Center, supportsLevelOfStudy, undergraduate]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: supportsLevelOfStudy Context triple: [California State University Desert Studies Center, supportsLevelOfStudy, undergraduate]
-
A.
requiresEducation
Indicates that performing or holding the related role, activity, or position depends on having a specified level or type of education.
-
B.
academicStatus
Indicates the educational or scholarly standing or level an entity holds within an academic context.
-
C.
offersFieldOfStudy
Indicates that an institution or program provides a particular field of study as an available area of academic focus.
-
D.
educationType
Indicates the specific category or level of education associated with an entity, such as formal, informal, primary, secondary, or higher education.
-
E.
academicDegree
Indicates that an entity holds or has been awarded a specific academic degree.
- F. None of above. chosen
Provenance (4 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_69a49369a0848190af883934cee3db4c |
completed | March 1, 2026, 7:28 p.m. |
| NER | Named-entity recognition | batch_69a4a73058e481908e067b7b7f9a91cd |
completed | March 1, 2026, 8:53 p.m. |
| PD | Predicate disambiguation | batch_69a4a508c42c8190850a0ac7844a3ea9 |
completed | March 1, 2026, 8:43 p.m. |
| PDg | Predicate description generation | batch_69a4a5a35c68819082429755c046e9a7 |
completed | March 1, 2026, 8:46 p.m. |
Created at: March 1, 2026, 7:37 p.m.